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Ko KP. Relationship between Cancer Incidence and Health Behaviors from Ecological Study in Korea. J Cancer Prev 2024; 29:185-189. [PMID: 39790221 PMCID: PMC11706724 DOI: 10.15430/jcp.24.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2024] [Revised: 12/22/2024] [Accepted: 12/23/2024] [Indexed: 01/12/2025] Open
Abstract
The aim of this ecological study was to examine the correlation between cancer incidence and health behaviors such as smoking, alcohol consumption, and obesity, and investigated whether there were differences in this correlation between metropolitan areas and other regions. Data on health behaviors exposure/prevalence and cancer incidence rates for 227 administrative districts (cities and counties) were obtained. The average exposure proportion measured annually from 2008 to 2011 in the Korea Community Health Survey data and the age-standardized cancer incidence data from 2014 to 2018, obtained through the cancer registry data, were downloaded from the Statistics Korea website. To examine the relationship between smoking, alcohol consumption, obesity exposure rate (prevalence), and cancer incidence, a correlation analysis was conducted, and Pearson's correlation coefficient was calculated. The correlation coefficient between male smoking and male cancer incidence rate across 227 districts was 0.259. This significance was more pronounced in large metropolitan areas, where the correlation coefficient was 0.631 in the 73 districts belonging to these areas. In large metropolitan areas, the correlation coefficient between alcohol consumption rate and cancer incidence rate was 0.390. In the correlation analysis between obesity prevalence and cancer incidence rate, no correlation was found in large metropolitan areas, while in areas outside of large cities, the correlation coefficient was -0.295, indicating a significant negative correlation. This ecological study demonstrated that the relationship between cancer incidence and health behaviors differed between large metropolitan areas and areas outside of large cities.
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Affiliation(s)
- Kwang-Pil Ko
- Clinical Preventive Medicine Center, Seoul National University Bundang Hospital, Seongnam, Korea
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Mahamat-Saleh Y, Aune D, Freisling H, Hardikar S, Jaafar R, Rinaldi S, Gunter MJ, Dossus L. Association of metabolic obesity phenotypes with risk of overall and site-specific cancers: a systematic review and meta-analysis of cohort studies. Br J Cancer 2024; 131:1480-1495. [PMID: 39317703 PMCID: PMC11519895 DOI: 10.1038/s41416-024-02857-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 09/05/2024] [Accepted: 09/13/2024] [Indexed: 09/26/2024] Open
Abstract
BACKGROUND Adiposity is a known risk factor for certain cancers; however, it is not clear whether the risk of cancer differs between individuals with high adiposity but different metabolic health status. The aim of this systematic literature review and meta-analysis of cohort studies was to evaluate associations between metabolic obesity phenotypes and overall and site-specific cancer risk. METHODS PubMed and Embase databases were used to identify relevant cohort studies up to the 6th of June 2023. Random-effects models were used to estimate summary relative risks (SRRs) and 95% confidence intervals (CIs) for the association between metabolic obesity phenotypes and cancer risk. Certainty of evidence was assessed using the Cochrane methods and the GRADE tool. This study is registered with PROSPERO, number CRD42024549511. RESULTS A total of 15,556 records were screened, and 31 publications covering 15 unique cohort studies were included in this analysis. Of these studies, 22 were evaluated as being at low risk of bias and 9 at moderate risk of bias. Compared to metabolically healthy normal-weight individuals (MHNW), metabolically unhealthy overweight/obese (MUOW/OB) individuals had a higher risk of overall (SRR = 1.21, 95% CI = 1.02-1.44, n = 3 studies, high certainty) and obesity-related cancers (SRR = 1.42, 95% CI = 1.15-1.74, n = 3, very low certainty). Specifically, MUOW/OB individuals were at higher risk of cancers of the postmenopausal breast (SRR = 1.32, 95% CI = 1.17-1.48, n = 7, low certainty), colorectum (SRR = 1.24, 95% CI = 1.16-1.31, n = 6, moderate certainty), endometrium (SRR = 2.31, 95% CI = 2.08-2.57, n = 4, high certainty), thyroid (SRR = 1.42, 95% CI = 1.29-1.57, n = 4, moderate certainty), kidney (SRR = 1.71, 95% CI = 1.40-2.10, n = 3, low certainty), pancreas (SRR = 1.35, 95% CI = 1.24-1.47, n = 3, high certainty), liver (SRR = 1.81, 95% CI = 1.36-2.42, n = 2, moderate certainty), gallbladder (SRR = 1.42, 95% CI = 1.17-1.73, n = 2, high certainty), bladder (SRR = 1.36, 95% CI = 1.19-1.56, n = 2, moderate certainty), and stomach (SRR = 1.50, 95% CI = 1.12-2.01, n = 2, high certainty). In addition, we found elevated risks of most of these cancers among individuals classified as MUNW and MHOW/OB phenotypes compared to those with MHNW phenotype. Our stratified analyses according to metabolic obesity phenotypes suggested that the elevated risks of some cancers were stronger in individuals with MUOW/OB versus those with MHOW/OB or MUNW phenotypes. CONCLUSION These findings suggest that both higher adiposity and metabolic dysfunction were independently associated with increased risk of several cancers, with the strongest associations generally observed among those with both metabolic dysfunction and obesity.
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Affiliation(s)
- Yahya Mahamat-Saleh
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France.
| | - Dagfinn Aune
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
- Department of Research, Cancer Registry of Norway, Norwegian Institute of Public Health, Oslo, Norway
- Department of Nutrition, Oslo New University College, Oslo, Norway
| | - Heinz Freisling
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Sheetal Hardikar
- Department of Population Health Sciences, University of Utah, Salt Lake City, Utah, USA
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA
| | - Rola Jaafar
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Sabina Rinaldi
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Marc J Gunter
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Laure Dossus
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
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Schulze MB, Stefan N. Metabolically healthy obesity: from epidemiology and mechanisms to clinical implications. Nat Rev Endocrinol 2024; 20:633-646. [PMID: 38937638 DOI: 10.1038/s41574-024-01008-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/31/2024] [Indexed: 06/29/2024]
Abstract
The concept of metabolic health, particularly in obesity, has attracted a lot of attention in the scientific community, and is being increasingly used to determine the risk of cardiovascular diseases and diabetes mellitus-related complications. This Review assesses the current understanding of metabolically healthy obesity (MHO). First, we present the historical evolution of the concept. Second, we discuss the evidence for and against its existence, the usage of different definitions of MHO over the years and the efforts made to provide novel definitions of MHO. Third, we highlight epidemiological data with regard to cardiovascular risk in MHO, which is estimated to be moderately elevated using widely used definitions of MHO when compared with individuals with metabolically healthy normal weight, but potentially not elevated using a novel definition of MHO. Fourth, we discuss novel findings about the physiological mechanisms involved in MHO and how such knowledge helps to identify and characterize both people with MHO and those with metabolically unhealthy normal weight. Finally, we address how the concept of MHO can be used for risk stratification and treatment in clinical practice.
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Affiliation(s)
- Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.
- German Center for Diabetes Research, Neuherberg, Germany.
- Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany.
| | - Norbert Stefan
- German Center for Diabetes Research, Neuherberg, Germany
- Department of Internal Medicine IV, University Hospital Tübingen, Tübingen, Germany
- Institute of Diabetes Research and Metabolic Diseases (IDM) of the Helmholtz Centre Munich, Tübingen, Germany
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Liu Q, Si F, Wu Y, Yu J. Association between transitions in metabolic health and colorectal cancer across categories of body size phenotype: a prospective cohort study. Obesity (Silver Spring) 2024; 32:1948-1957. [PMID: 39169802 DOI: 10.1002/oby.24122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2024] [Revised: 06/20/2024] [Accepted: 07/02/2024] [Indexed: 08/23/2024]
Abstract
OBJECTIVE We aimed to investigate the associations of changes in metabolic health across categories of body size phenotype with the risk of colorectal cancer in a community-based prospective cohort. METHODS In the current study, a total of 70,987 participants were included. Changes in metabolic health across categories of body size phenotype were assessed between the health examination for the first time in the years 2006 through 2009 and a 2010/2011 health examination. A multivariate Cox proportional hazards model was used to assess the associations of changes in metabolic health across body size phenotype categories with risk of colorectal cancer. RESULTS During the median follow-up time of 11.04 years, 428 (0.60%) participants developed colorectal cancer. Compared with metabolically healthy normal-weight (MHNW) participants who remained MH, the risk of colorectal cancer was increased by 144% (95% CI: 1.21-4.95) for participants with metabolically healthy obesity (MHO) who converted to a metabolically unhealthy (MU) phenotype. Participants who were MU at baseline were still at increased risk of colorectal cancer, regardless of obesity status. CONCLUSIONS The MHO phenotype was a dynamic status over time, and converting to MU during follow-up and being initially MU were associated with having an increased risk of colorectal cancer, regardless of degree of obesity and body size phenotype.
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Affiliation(s)
- Qian Liu
- Department of Cardiology, Lanzhou University Second Hospital, Lanzhou, China
| | - Fei Si
- Department of Cardiology, Lanzhou University Second Hospital, Lanzhou, China
| | - Yuntao Wu
- Department of Cardiology, Kailuan General Hospital, Tangshan, China
| | - Jing Yu
- Department of Cardiology, Lanzhou University Second Hospital, Lanzhou, China
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Li T, Zhang Y, Li Z, Mei F, Zhai J, Zhang M, Wang S. Bilateral papillary thyroid cancer: pitfalls of ACR TI-RADS and evaluation of modified parameters. Endocrine 2024; 85:295-303. [PMID: 37987970 DOI: 10.1007/s12020-023-03593-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Accepted: 10/30/2023] [Indexed: 11/22/2023]
Abstract
PURPOSE To explore modified parameters of the American College of Radiology Thyroid Imaging Reporting and Data System (TI-RADS) for evaluating contralateral nodules based on preoperative ultrasound features of papillary thyroid carcinoma (PTC) in the suspected lobe, thus guiding the management of bilateral PTC. METHODS We retrospectively analyzed 389 consecutive patients with PTC (272 in training set, 117 in validation set) who underwent total thyroidectomy from March 2020 to March 2022. According to their postoperative pathological data, the patients were divided into unilateral and bilateral PTC groups. The clinicopathological features and sonographic characteristics of suspected nodules were compared between the groups, and further ultrasonic characteristics of TI-RADS grade (TR grade)-underestimated nodules were analyzed. RESULTS Patients with a body mass index of ≥25 kg/m2 (P < 0.001), multifocality in the suspected lobe (P < 0.001), and TR > 3 isthmus nodules (P = 0.003) tended to have bilateral PTC. After modifying the TI-RADS classification for contralateral nodules using these three parameters, the area under the curve for diagnosing contralateral lesions increased from 0.79 (95% confidence interval, 0.74-0.84) to 0.83 (0.78-0.87) in the training set. The missed diagnosis rate of contralateral PTC decreased in both the training set [21.1% (28/133) to 4.5% (6/133)] and validation set [11.4% (8/70) to 2.9% (2/70)]. Preoperative ultrasound tended to underestimate the contralateral nodules with the presence of cystic components [100% (6/6)] and halo sign [73.3% (11/15)]. CONCLUSION The modified TI-RADS classification based on the suspected lobe may facilitate effective preoperative malignant risk stratification of contralateral nodules in bilateral PTC.
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Affiliation(s)
- Tingting Li
- Department of Ultrasound, Peking University Third Hospital, Beijing, 100191, China
- Department of Ultrasound, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, 030032, China
| | - Yongyue Zhang
- Department of Ultrasound, Peking University Third Hospital, Beijing, 100191, China
| | - Zhiqiang Li
- Department of Ultrasound, Peking University Third Hospital, Beijing, 100191, China
| | - Fang Mei
- Department of Pathology, Peking University Third Hospital, Beijing, 100191, China
| | - Junsha Zhai
- Department of Ultrasound, Peking University Third Hospital, Beijing, 100191, China
| | - Min Zhang
- Department of Ultrasound, Peking University Third Hospital, Beijing, 100191, China
- Department of Ultrasound, Second Hospital of Shanxi Medical University, Taiyuan, 030001, China
| | - Shumin Wang
- Department of Ultrasound, Peking University Third Hospital, Beijing, 100191, China.
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Lee H, Shin H, Chung Y, Kim JS. Association between the transition to metabolically unhealthy obesity and lifestyle behavior: A nationwide cohort study. Public Health Nurs 2024; 41:675-683. [PMID: 38736031 DOI: 10.1111/phn.13338] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Revised: 04/08/2024] [Accepted: 04/30/2024] [Indexed: 05/14/2024]
Abstract
OBJECTIVES To identify the characteristics of individuals transitioning from metabolically healthy obesity (MHO) to unhealthy obesity and the factors influencing the change. DESIGN This is a nationwide cohort study using data from the National Health Insurance Service in South Korea. SAMPLE Individuals with obesity but metabolically healthy in 2009 and 2010 and those still obese 4 years later were selected. MEASUREMENTS Sociodemographic, physical, metabolic, and health behavior variables were collected, and logistic regression was used to find an association with the transition. RESULTS We analyzed 1,564,467 individuals, observing significant differences in all variables and the transition from MHO to unhealthy obesity. Among males, the transition was associated with smoking and drinking positively and physical activity negatively. Among females, drinking demonstrated a negative correlation. Regardless of age, regular exercise was negatively associated with the transition for all individuals. Except for older adults, all age groups showed a positive correlation with smoking and drinking. CONCLUSIONS Considering the significant factors in the transition, it is essential to develop and implement interventions varied by gender and age to delay and prevent the change in metabolic status. The necessity of developing interventions enables individuals to engage in regular exercise, regardless of age and gender.
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Affiliation(s)
- HyunHae Lee
- School of Nursing, University of Washington, Seattle, Washington, USA
| | - Hyerine Shin
- Department of Nursing, Chung-Ang University, Seoul, Republic of Korea
| | - Yoongi Chung
- Department of Nursing, Chung-Ang University, Seoul, Republic of Korea
| | - Ji-Su Kim
- Department of Nursing, Chung-Ang University, Seoul, Republic of Korea
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Lee H, Kim JS, Shin H. Predicting the Transition to Metabolically Unhealthy Obesity Among Young Adults With Metabolically Healthy Obesity in South Korea: Nationwide Population-Based Study. JMIR Public Health Surveill 2024; 10:e52103. [PMID: 38941611 PMCID: PMC11245668 DOI: 10.2196/52103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 03/19/2024] [Accepted: 05/15/2024] [Indexed: 06/30/2024] Open
Abstract
BACKGROUND Globally, over 39% of individuals are obese. Metabolic syndrome, usually accompanied by obesity, is regarded as a major contributor to noncommunicable diseases. Given this relationship, the concepts of metabolically healthy and unhealthy obesity, considering metabolic status, have been evolving. Attention is being directed to metabolically healthy people with obesity who have relatively low transition rates to noncommunicable diseases. As obesity rates continue to rise and unhealthy behaviors prevail among young adults, there is a growing need for obesity management that considers these metabolic statuses. A nomogram can be used as an effective tool to predict the risk of transitioning to metabolically unhealthy obesity from a metabolically healthy status. OBJECTIVE The study aimed to identify demographic factors, health behaviors, and 5 metabolic statuses related to the transition from metabolically healthy obesity to unhealthy obesity among people aged between 20 and 44 years and to develop a screening tool to predict this transition. METHODS This secondary analysis study used national health data from the National Health Insurance System in South Korea. We analyzed the customized data using SAS (SAS Institute Inc) and conducted logistic regression to identify factors related to the transition from metabolically healthy to unhealthy obesity. A nomogram was developed to predict the transition using the identified factors. RESULTS Among 3,351,989 people, there was a significant association between the transition from metabolically healthy to unhealthy obesity and general characteristics, health behaviors, and metabolic components. Male participants showed a 1.30 higher odds ratio for transitioning to metabolically unhealthy obesity than female participants, and people in the lowest economic status were also at risk for the transition (odds ratio 1.08, 95% CI 1.05-1.1). Smoking status, consuming >30 g of alcohol, and insufficient regular exercise were negatively associated with the transition. Each relevant variable was assigned a point value. When the nomogram total points reached 295, the shift from metabolically healthy to unhealthy obesity had a prediction rate of >50%. CONCLUSIONS This study identified key factors for young adults transitioning from healthy to unhealthy obesity, creating a predictive nomogram. This nomogram, including triglycerides, waist circumference, high-density lipoprotein-cholesterol, blood pressure, and fasting glucose, allows easy assessment of obesity risk even for the general population. This tool simplifies predictions amid rising obesity rates and interventions.
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Affiliation(s)
- HyunHae Lee
- School of Nursing, University of Washington, Seattle, WA, United States
| | - Ji-Su Kim
- Department of Nursing, Chung-Ang University, Seoul, Republic of Korea
| | - Hyerine Shin
- Department of Nursing, Chung-Ang University, Seoul, Republic of Korea
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Borra V, Jain A, Borra N, Kattamuri LPV, Senapati SG, Machineni NVK, Kukkala S, Ramasahayam K, Prajapati K, Vyas A, Desai R. Rising Trends in Metabolically Healthy Obesity in Cancer Patients and Its Impact on Cardiovascular Events: Insights from a Contemporary Nationwide Analysis in the USA (2016-2020). J Clin Med 2024; 13:2820. [PMID: 38792362 PMCID: PMC11122494 DOI: 10.3390/jcm13102820] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2024] [Revised: 04/25/2024] [Accepted: 05/07/2024] [Indexed: 05/26/2024] Open
Abstract
Background: Obesity or overweight raises the risk of developing 13 types of cancer, representing 40% of all cancers diagnosed in the United States annually. Given the ongoing debate surrounding the impact of metabolically healthy obesity (MHO) on cardiovascular outcomes, it is crucial to comprehend the incidence of Major Adverse Cardiovascular and Cerebrovascular Events (MACCEs) and the influence of MHO on these outcomes in cancer patients. Methods: Data of hospitalized cancer patients with and without obesity were analyzed from the National Inpatient Sample 2016-2020. Metabolically healthy patients were identified by excluding diabetes, hypertension, and hyperlipidemia using Elixhauser comorbidity software, v.2022.1. After that, we performed a multivariable regression analysis for in-hospital MACCEs and other individual outcomes. Results: We identified 3,111,824 cancer-related hospitalizations between 2016 and 2020. The MHO cohort had 199,580 patients (6.4%), whereas the MHnO (metabolically healthy non-obese) cohort had 2,912,244 patients (93.6%). The MHO cohort had a higher proportion of females, Blacks, and Hispanics. Outcomes including in-hospital MACCEs (7.9% vs. 9.5%; p < 0.001), all-cause mortality (6.1% vs. 7.5%; p < 0.001), and acute myocardial infarction (AMI) (1.5% vs. 1.6%; p < 0.001) were lower in the MHO cohort compared to the MHnO cohort. Upon adjusting for the baseline characteristics, the MHO group had lower odds of in-hospital MACCEs [adjusted odds ratio (AOR) = 0.93, 95% CI (0.90-0.97), p < 0.001], all-cause mortality [AOR = 0.91, 95% CI (0.87-0.94); p < 0.001], and acute ischemic stroke (AIS) [AOR = 0.76, 95% CI (0.69-0.84); p < 0.001], whereas there were higher odds of acute myocardial infarction (AMI) [AOR = 1.08, 95% CI (1.01-1.16); p < 0.001] and cardiac arrest (CA) [AOR = 1.26, 95% CI (1.01-1.57); p = 0.045] in the MHO cohort compared to the MHnO cohort. Conclusions: Hospitalized cancer patients with MHO exhibited a lower prevalence of in-hospital MACCEs than those with MHnO. Additional prospective studies and randomized clinical trials are imperative to validate these findings, particularly in stratifying MHO across various cancer types and their corresponding risks of in-hospital MACCEs.
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Affiliation(s)
- Vamsikalyan Borra
- Department of Internal Medicine, The University of Texas, Rio Grande Valley, Edinburg, TX 78539, USA;
| | - Akhil Jain
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX 77079, USA
| | - Nithya Borra
- Department of Internal Medicine, Sri Venkateswara Medical College, Tirupati 517507, India
| | | | - Sidhartha Gautam Senapati
- Department of Internal Medicine, Health Sciences Center, Texas Tech University, El Paso, TX 79409, USA
| | | | - Sindhuja Kukkala
- Department of Internal Medicine, St. Luke’s Hospital, St. Louis, MO 63122, USA
| | - Karthikeya Ramasahayam
- Konaseema Institute of Medical Sciences and Research Foundation, Amalapuram 533201, India
| | - Kesar Prajapati
- Department of Internal Medicine, Metropolitan Hospital Center, NYC Health+ Hospitals, New York, NY 11373, USA
| | - Ankit Vyas
- Department of Vascular Medicine, Oschner Clinic Foundation, New Orleans, LA 70124, USA;
| | - Rupak Desai
- Independent Outcomes Researcher, Atlanta, GA 30033, USA;
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Chen ZW, Jin T, Liang PP, Li ZD, He FJ, Chen ZH, Song XH, Zhu YF, Hu JK, Yang K. Incidence of cancer for patients after bariatric surgery: evidence from 33 cohort studies. Surg Obes Relat Dis 2024; 20:467-481. [PMID: 38151417 DOI: 10.1016/j.soard.2023.11.010] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2023] [Revised: 10/30/2023] [Accepted: 11/18/2023] [Indexed: 12/29/2023]
Abstract
BACKGROUND With the rising prevalence of severe obesity, bariatric surgery has emerged as a crucial treatment option. As the number of surgeries performed worldwide increases, there has been growing interest in the impact of bariatric surgery on cancer incidence. While several studies have examined this relationship, the topic remains controversial. OBJECTIVES We conducted this systematic review of cohort studies with meta-analysis to evaluate the effect of bariatric surgery versus nonsurgical treatment on overall cancer incidence. However, the effects may vary when focusing on specific cancer types, surgical procedures, or gender, so we conducted additional subgroup analyses. SETTING A meta-analysis. University hospital. METHODS The Cochrane, Embase, PubMed, and Web of Science databases were searched for studies from 1 January 2000 to 1 December 2022. Meta-analysis was conducted to evaluate the pooled effect and further implemented subgroup analysis stratified by cancer type, operation type, and sex. RESULTS All cohort studies were included in this meta-analysis from 18,216 studies. The overall cancer incidence demonstrated a significant decrease in the group with bariatric surgery (odds ratios [OR] = .56, P = .000, 95% CI .46 to .68). In subgroup analysis, similar decrease effect was found in 9 cancers. Furthermore, the incidence of cancer decreased significantly in male (OR = .66, P = .001, 95% CI .51 to .85) and female patients (OR = .63, P = .000, 95% CI .57 to .69) and patients undergoing gastric bypass (OR = .46, P = .000, 95% CI .33 to .63) or sleeve gastrectomy (OR = .44, P = .001, 95% CI .27 to .70). CONCLUSIONS In the overall analysis, bariatric surgery could reduce the incidence of cancer significantly. Further large-scale well-matched studies are needed to verify the protective effect of bariatric surgery on cancer incidence.
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Affiliation(s)
- Zheng-Wen Chen
- Department of General Surgery & Laboratory of Gastric Cancer, State Key Laboratory of Biotherapy/Collaborative Innovation Center of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China; Gastric Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
| | - Tao Jin
- Department of General Surgery & Laboratory of Gastric Cancer, State Key Laboratory of Biotherapy/Collaborative Innovation Center of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China; Gastric Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
| | - Pan-Ping Liang
- Department of General Surgery & Laboratory of Gastric Cancer, State Key Laboratory of Biotherapy/Collaborative Innovation Center of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China; Gastric Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
| | - Ze-Dong Li
- Department of General Surgery & Laboratory of Gastric Cancer, State Key Laboratory of Biotherapy/Collaborative Innovation Center of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China; Gastric Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
| | - Feng-Jun He
- Department of General Surgery & Laboratory of Gastric Cancer, State Key Laboratory of Biotherapy/Collaborative Innovation Center of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China; Gastric Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
| | - Ze-Hua Chen
- Department of General Surgery & Laboratory of Gastric Cancer, State Key Laboratory of Biotherapy/Collaborative Innovation Center of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China; Gastric Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
| | - Xiao-Hai Song
- Department of General Surgery & Laboratory of Gastric Cancer, State Key Laboratory of Biotherapy/Collaborative Innovation Center of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China; Gastric Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
| | - Yun-Feng Zhu
- Department of General Surgery & Laboratory of Gastric Cancer, State Key Laboratory of Biotherapy/Collaborative Innovation Center of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China; Gastric Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
| | - Jian-Kun Hu
- Department of General Surgery & Laboratory of Gastric Cancer, State Key Laboratory of Biotherapy/Collaborative Innovation Center of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China; Gastric Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
| | - Kun Yang
- Department of General Surgery & Laboratory of Gastric Cancer, State Key Laboratory of Biotherapy/Collaborative Innovation Center of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China; Gastric Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China.
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Čermáková E, Forejt M. Metabolically healthy obesity and health risks - a review of meta-analyses. Cent Eur J Public Health 2024; 32:3-8. [PMID: 38669161 DOI: 10.21101/cejph.a7806] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Accepted: 02/16/2024] [Indexed: 04/28/2024]
Abstract
OBJECTIVE This article briefly summarizes the results of existing research on metabolically healthy obesity in the context of health risks. METHODS The PubMed database was searched for relevant meta-analyses addressing metabolically healthy obesity in the context of health risks. RESULTS We included a total of 17 relevant meta-analyses in this review. The results of the studied meta-analyses showed that metabolically healthy obesity may be only a transient condition associated with an increased risk of developing metabolic abnormalities in the future. People with obesity without metabolic abnormalities have an increased risk of type 2 diabetes, cardiovascular disease, cancer, chronic kidney disease, and depressive syndrome. In addition, all people with obesity are at risk of pathogenesis resulting from the mechanical stress caused by presence of abnormal adipose tissue, such as sleep apnoea syndrome or skin problems. CONCLUSION Based on the results of meta-analyses, we recommend motivating all obese patients to change their lifestyle regardless of the presence of metabolic defects.
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Affiliation(s)
- Erika Čermáková
- Department of Public Health, Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Martin Forejt
- Department of Public Health, Faculty of Medicine, Masaryk University, Brno, Czech Republic
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Iqbal J, Wu HX, Nawaz MA, Jiang HL, Xu SN, Huang BL, Li L, Cai JM, Zhou HD. Risk of incident chronic kidney disease in metabolically healthy obesity and metabolically unhealthy normal weight: A systematic review and meta-analysis. Obes Rev 2024; 25:e13656. [PMID: 37904643 DOI: 10.1111/obr.13656] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/04/2023] [Revised: 09/27/2023] [Accepted: 10/03/2023] [Indexed: 11/01/2023]
Abstract
Studies have reported inconsistent results about the risk of incident chronic kidney disease (CKD) in people with metabolically healthy obesity (MHO). We designed this systematic review and meta-analysis to evaluate the risk of developing CKD in people with MHO and metabolically unhealthy normal weight (MUNW). We used a predefined search strategy to retrieve eligible studies from multiple databases up to June 20, 2022. Random-effects model meta-analyses were implied to estimate the overall hazard ratio (HR) of incident CKD in obesity phenotypes. Eight prospective cohort studies, including approximately 5 million participants with a median follow-up ranging between 3 and 14 years, were included in this meta-analysis. Compared to the metabolically healthy normal weight (MHNW), the mean differences in cardiometabolic and renal risk factors in MHO, MUNW, and metabolically unhealthy obesity (MUO) were evaluated with overall HR of 1.42, 1.49, and 1.84, respectively. Compared to MHNW, the mean estimated glomerular filtration rate (eGFR) and high-density lipoprotein (HDL) were significantly lower, and low-density lipoprotein (LDL), blood pressure, blood glucose, and triglycerides were higher in MHO and MUNW. In conclusion, MHO and MUNW are not benign conditions and pose a higher risk for incident CKD. Obesity, whether in the presence or absence of metabolic health, is a risk factor for CKD.
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Affiliation(s)
- Junaid Iqbal
- National Clinical Research Center for Metabolic Diseases, Hunan Provincial Key Laboratory for Metabolic Bone Diseases, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, China
- Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Hui-Xuan Wu
- National Clinical Research Center for Metabolic Diseases, Hunan Provincial Key Laboratory for Metabolic Bone Diseases, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, China
| | | | - Hong-Li Jiang
- National Clinical Research Center for Metabolic Diseases, Hunan Provincial Key Laboratory for Metabolic Bone Diseases, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Shi-Na Xu
- National Clinical Research Center for Metabolic Diseases, Hunan Provincial Key Laboratory for Metabolic Bone Diseases, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Bi-Ling Huang
- National Clinical Research Center for Metabolic Diseases, Hunan Provincial Key Laboratory for Metabolic Bone Diseases, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Long Li
- National Clinical Research Center for Metabolic Diseases, Hunan Provincial Key Laboratory for Metabolic Bone Diseases, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Jun-Min Cai
- National Clinical Research Center for Metabolic Diseases, Hunan Provincial Key Laboratory for Metabolic Bone Diseases, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Hou-De Zhou
- National Clinical Research Center for Metabolic Diseases, Hunan Provincial Key Laboratory for Metabolic Bone Diseases, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, China
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Cui H, Tian F, Chen Y, Ma X. Association between Metabolically Healthy Status and Risk of Gastrointestinal Cancer. Cancer Res Treat 2024; 56:238-246. [PMID: 37536710 PMCID: PMC10789963 DOI: 10.4143/crt.2023.539] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Accepted: 07/28/2023] [Indexed: 08/05/2023] Open
Abstract
PURPOSE Although obesity is associated with numerous diseases, the risks of disease may depend on metabolically healthy status. Nevertheless, it is unclear to whether metabolically healthy status affects risk of gastrointestinal (GI) cancer in general Chinese population. MATERIALS AND METHODS A total of 114,995 participants who met the criteria were included from the Kailuan Study. The study participants were divided into four groups according to body mass index (BMI)/waist circumference (WC) and metabolic status. Incident of GI cancer (esophageal cancer, gastric cancer, liver cancer, biliary cancer, pancreatic cancer, and colorectal cancer) during 2006-2020 were confirmed by review of medical records. The Cox proportional hazard regression models were used to assess the association metabolically healthy status with the risk of GI cancer by calculating the hazard ratios (HR) and 95% confidence interval (CI). RESULTS During a mean 13.76 years of follow-up, we documented 2,311 GI cancers. Multivariate Cox regression analysis showed that compared with the metabolically healthy normal-weight group, metabolically healthy obese (MHO) participants demonstrated an increased risk of developing GI cancer (HR, 1.54; 95% CI, 1.11 to 2.13) by BMI categories. However, such associations were not found for WC category. These associations were moderated by age, sex, and anatomical site of the tumor. Individuals with metabolic unhealthy normal-weight or metabolic unhealthy obesity phenotype also have an increased risk of GI cancer. CONCLUSION MHO phenotype was associated with increased risk of GI cancer. Moreover, individuals who complicated by metabolic unhealthy status have an increased risk of developing GI cancer. Hence, clinicians should consider the risk of incident GI cancer in people with abnormal metabolically healthy status and counsel them about metabolic fitness and weight control.
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Affiliation(s)
- Haozhe Cui
- School of Medicine, Nankai University, Tianjin, China
- Department of Hepatobiliary Surgery, Kailuan General Hospital, Tangshan, China
| | - Fei Tian
- Department of Radiation Oncology, North China University of Science and Technology Affiliated Hospital, Tangshan, China
| | - Yongliang Chen
- School of Medicine, Nankai University, Tianjin, China
- The Faculty of Hepatopancreatobiliary Surgery, The First Medical Center, Chinese People’s Liberation Army General Hospital, Beijing, China
| | - Xiangming Ma
- Department of Hepatobiliary Surgery, Kailuan General Hospital, Tangshan, China
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Esmaeili F, Abolhasani M, Zabihi-Mahmoudabadi H, Seyyed Ebrahimi SS, Emamgholipour S, Paknejad M. Metabolically healthy/unhealthy obesity and breast cancer: A possible role of plasma-derived extracellular vesicles on the cancerous behavior of triple-negative breast cancer. Biochem Biophys Res Commun 2024; 690:149242. [PMID: 37992524 DOI: 10.1016/j.bbrc.2023.149242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Revised: 11/07/2023] [Accepted: 11/09/2023] [Indexed: 11/24/2023]
Abstract
PURPOSE Obesity has known detrimental effects on breast cancer (BC) development and progression. However, it's essential to consider the obesity phenotype based on metabolic health. This study aims to evaluate the impact of circulating extracellular vesicles (EVs) from women with metabolically healthy or unhealthy normal weight, overweight, and obesity on MDA-MB-231 cell migration, invasion, and apoptosis. METHODS Plasma EVs were isolated from different obesity phenotypes in women. EVs were characterized and EVs uptake by MDA-MB-231 cells was assessed. MDA-MB-231 cell lines were treated with EVs obtained from various studied groups, and migration, invasion, MMP-2 and MMP-9 activity, Bax and Bcl-2 mRNA expression, p-53 and Thr55 p-p53 protein expression, and apoptosis were assessed. RESULTS EVs from obese individuals, regardless of phenotype, increased invasion and MMP-2 activity compared to healthy normal-weight EVs. Normal-weight EVs led to higher invasion under unhealthy conditions. BC cell migration was enhanced by EVs from healthy obese individuals compared to healthy normal-weight EVs. EVs from unhealthy obese women exhibited significantly lower p53/p-p53 levels and reduced apoptosis compared to healthy obese groups. CONCLUSION It appears that EVs from both normal-weight women with unhealthy conditions and those with obesity or overweight, irrespective of metabolic status, worsened the cancerous behavior of TNBC cells. Therefore, considering metabolic health, in addition to BMI, is crucial for understanding obesity-related disorders.
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Affiliation(s)
- Fataneh Esmaeili
- Department of Clinical Biochemistry, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Maryam Abolhasani
- Cardiac Primary Prevention Research Center, Tehran University of Medical Sciences, Tehran, Iran; Cardiovascular Diseases Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Hossein Zabihi-Mahmoudabadi
- Department of General Surgery, School of Medicine, Sina Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Shadi Sadat Seyyed Ebrahimi
- Department of Clinical Biochemistry, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran; Metabolic Disorders Research Center, Endocrinology and Metabolism Molecular-Cellular Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Solaleh Emamgholipour
- Department of Clinical Biochemistry, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran; Metabolomics and Genomics Research Center, Endocrinology and Metabolism Molecular-Cellular Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
| | - Maliheh Paknejad
- Department of Clinical Biochemistry, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
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Choi YM, Pilkerton CS, Xiang J, Ashcraft AM, Seymour KA, Szoka N. Risk factors for metabolic syndrome in self-identified and questioning sexual minority women. Obesity (Silver Spring) 2023; 31:2853-2861. [PMID: 37723848 DOI: 10.1002/oby.23879] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 06/07/2023] [Accepted: 06/27/2023] [Indexed: 09/20/2023]
Abstract
OBJECTIVE Studies have shown sexual minority women (SMW) have a higher incidence of obesity, but the risk of metabolic syndrome (MetS) in SMW is unclear. We examined the association between sexual orientation and MetS and its components. METHODS Data were extracted from the National Health and Nutrition Examination Survey (NHANES) from 2001 to 2016 examining women aged 20 to 59 years. Participants were divided into three categories: heterosexual, self-identified SMW, and questioning SMW. Logistic regression was used to analyze the association between sexual orientation and MetS. RESULTS Of 12,755 women, 708 (5.6%) were self-identified SMW, and 365 (2.9%) were questioning SMW. The incidence of MetS was not significantly different across the groups. Logistic regression demonstrated that self-identified SMW had significantly higher odds of large waist circumference (odds ratio [OR] 1.39; 95% CI: 1.14-1.71) and obesity (OR 1.53; 95% CI: 1.24-1.90), while questioning SMW had significantly higher odds of low levels of high-density lipoprotein (OR 1.5; 95% CI: 1.13-1.98) compared with heterosexual women. CONCLUSIONS Self-identified and questioning SMW did not have an increased incidence of MetS compared with heterosexual women, but they had higher odds of large waist circumference and low high-density lipoprotein, respectively. Further studies are needed to identify the gaps in social determinants of health in SMW.
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Affiliation(s)
- Young Mee Choi
- Department of Surgery, Duke University, Durham, North Carolina, USA
| | - Courtney S Pilkerton
- Department of Family Medicine, West Virginia University, Morgantown, West Virginia, USA
| | - Jun Xiang
- Department of Family Medicine, West Virginia University, Morgantown, West Virginia, USA
| | - Amie M Ashcraft
- Department of Family Medicine, West Virginia University, Morgantown, West Virginia, USA
| | - Keri A Seymour
- Department of Surgery, Duke University, Durham, North Carolina, USA
| | - Nova Szoka
- Department of Surgery, West Virginia University, Morgantown, West Virginia, USA
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Zhang W, Du J, Dong H, Cheng Y, Zhong F, Yuan Z, Dong Y, Wang R, Mu S, Zhao J, Han W, Fan X. Obesity Metabolic Phenotypes and Unplanned Readmission Risk in Diabetic Kidney Disease: An Observational Study from the Nationwide Readmission Database. Arch Med Res 2023; 54:102840. [PMID: 37421870 DOI: 10.1016/j.arcmed.2023.102840] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 06/09/2023] [Accepted: 06/21/2023] [Indexed: 07/10/2023]
Abstract
BACKGROUND AND AIM Obesity is a potentially modifiable factor for reducing readmissions, with heterogeneity that varies according to the metabolic status. Our objective was to examine the independent or mutual relationship between obesity and metabolic abnormalities and diabetic kidney disease (DKD)-related hospitalizations. METHODS 493,570 subjects with DKD were enrolled in the 2018 Nationwide Readmission Database (NRD, United States). The at-risk population was reclassified into refined obesity subtypes based on the body mass index (BMI) classification of metabolic abnormalities (hypertension and/or dyslipidemia) to investigate the 180 d readmission risk and hospitalization costs related to DKD. RESULTS The overall readmission rate was 34.1%. Patients with metabolic abnormalities, regardless of obesity, had a significantly higher risk of readmission compared to non-obese counterparts (adjusted HR, 1.11 [95% CI, 1.07-1.14]; 1.12 [95% CI, 1.08-1.15]). Hypertension appeared to be the only metabolic factor associated with readmission among individuals with DKD. Obesity without metabolic abnormalities was independently associated with readmission (adjusted HR,1.08 [1.01,1.14]), especially among males and those >65 years (adjusted HR,1.10 [1.01-1.21]; 1.20 [1.10-1.31]). Women or those ≤65 years with metabolic abnormalities (all p <0.050) had elevated readmission rates, regardless of obesity; however, no such trend was observed in obese subjects without metabolic abnormalities (adjusted HR, 1.06 [0.98,1.16]). Additionally, obesity and metabolic abnormalities were associated with elevated hospitalization costs (all p <0.0001). CONCLUSIONS Increased BMI and hypertension are positively associated with readmissions and related costs among patients with DKD, which should be considered in future studies.
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Affiliation(s)
- Wei Zhang
- Shandong Provincial Hospital, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China; Key Laboratory of Endocrine Glucose and Lipids Metabolism and Brain Aging, Ministry of Education, Department of Endocrinology, Shandong, Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China; Shandong Institute of Endocrine and Metabolic Diseases, Jinan, Shandong, China; Shandong Clinical Research Centre of Diabetes and Metabolic Diseases, Jinan, Shandong, China; Innovation Base of stem cell and Gene Therapy for endocrine Metabolic diseases, Chuangxin, China; Shandong Engineering Laboratory of Prevention and Control for Endocrine and Metabolic Diseases, Jinan, Shandong, China
| | - Jing Du
- Key Laboratory of Endocrine Glucose and Lipids Metabolism and Brain Aging, Ministry of Education, Department of Endocrinology, Shandong, Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China; Shandong Institute of Endocrine and Metabolic Diseases, Jinan, Shandong, China; Shandong Clinical Research Centre of Diabetes and Metabolic Diseases, Jinan, Shandong, China; Innovation Base of stem cell and Gene Therapy for endocrine Metabolic diseases, Chuangxin, China; Shandong Engineering Laboratory of Prevention and Control for Endocrine and Metabolic Diseases, Jinan, Shandong, China; Department of Endocrinology, The First Affiliated Hospital of Baotou Medical College, Baotou, China
| | - Hang Dong
- Key Laboratory of Endocrine Glucose and Lipids Metabolism and Brain Aging, Ministry of Education, Department of Endocrinology, Shandong, Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China; Shandong Institute of Endocrine and Metabolic Diseases, Jinan, Shandong, China; Shandong Clinical Research Centre of Diabetes and Metabolic Diseases, Jinan, Shandong, China; Innovation Base of stem cell and Gene Therapy for endocrine Metabolic diseases, Chuangxin, China; Shandong Engineering Laboratory of Prevention and Control for Endocrine and Metabolic Diseases, Jinan, Shandong, China
| | - Yiping Cheng
- Key Laboratory of Endocrine Glucose and Lipids Metabolism and Brain Aging, Ministry of Education, Department of Endocrinology, Shandong, Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China; Shandong Institute of Endocrine and Metabolic Diseases, Jinan, Shandong, China; Shandong Clinical Research Centre of Diabetes and Metabolic Diseases, Jinan, Shandong, China; Innovation Base of stem cell and Gene Therapy for endocrine Metabolic diseases, Chuangxin, China; Shandong Engineering Laboratory of Prevention and Control for Endocrine and Metabolic Diseases, Jinan, Shandong, China
| | - Fang Zhong
- Key Laboratory of Endocrine Glucose and Lipids Metabolism and Brain Aging, Ministry of Education, Department of Endocrinology, Shandong, Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China; Shandong Institute of Endocrine and Metabolic Diseases, Jinan, Shandong, China; Shandong Clinical Research Centre of Diabetes and Metabolic Diseases, Jinan, Shandong, China; Innovation Base of stem cell and Gene Therapy for endocrine Metabolic diseases, Chuangxin, China; Shandong Engineering Laboratory of Prevention and Control for Endocrine and Metabolic Diseases, Jinan, Shandong, China
| | - Zinuo Yuan
- Key Laboratory of Endocrine Glucose and Lipids Metabolism and Brain Aging, Ministry of Education, Department of Endocrinology, Shandong, Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China; Shandong Institute of Endocrine and Metabolic Diseases, Jinan, Shandong, China; Shandong Clinical Research Centre of Diabetes and Metabolic Diseases, Jinan, Shandong, China; Innovation Base of stem cell and Gene Therapy for endocrine Metabolic diseases, Chuangxin, China; Shandong Engineering Laboratory of Prevention and Control for Endocrine and Metabolic Diseases, Jinan, Shandong, China
| | - Yingchun Dong
- Key Laboratory of Endocrine Glucose and Lipids Metabolism and Brain Aging, Ministry of Education, Department of Endocrinology, Shandong, Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China; Shandong Institute of Endocrine and Metabolic Diseases, Jinan, Shandong, China; Shandong Clinical Research Centre of Diabetes and Metabolic Diseases, Jinan, Shandong, China; Innovation Base of stem cell and Gene Therapy for endocrine Metabolic diseases, Chuangxin, China; Shandong Engineering Laboratory of Prevention and Control for Endocrine and Metabolic Diseases, Jinan, Shandong, China
| | - Rong Wang
- Department of Nephrology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China; Department of Nephrology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Shumin Mu
- The Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China
| | - Jiajun Zhao
- Key Laboratory of Endocrine Glucose and Lipids Metabolism and Brain Aging, Ministry of Education, Department of Endocrinology, Shandong, Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China; Shandong Institute of Endocrine and Metabolic Diseases, Jinan, Shandong, China; Shandong Clinical Research Centre of Diabetes and Metabolic Diseases, Jinan, Shandong, China; Innovation Base of stem cell and Gene Therapy for endocrine Metabolic diseases, Chuangxin, China; Shandong Engineering Laboratory of Prevention and Control for Endocrine and Metabolic Diseases, Jinan, Shandong, China
| | - Wenxia Han
- Key Laboratory of Endocrine Glucose and Lipids Metabolism and Brain Aging, Ministry of Education, Department of Endocrinology, Shandong, Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China; Shandong Institute of Endocrine and Metabolic Diseases, Jinan, Shandong, China; Shandong Clinical Research Centre of Diabetes and Metabolic Diseases, Jinan, Shandong, China; Innovation Base of stem cell and Gene Therapy for endocrine Metabolic diseases, Chuangxin, China; Shandong Engineering Laboratory of Prevention and Control for Endocrine and Metabolic Diseases, Jinan, Shandong, China
| | - Xiude Fan
- Key Laboratory of Endocrine Glucose and Lipids Metabolism and Brain Aging, Ministry of Education, Department of Endocrinology, Shandong, Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China; Shandong Institute of Endocrine and Metabolic Diseases, Jinan, Shandong, China; Shandong Clinical Research Centre of Diabetes and Metabolic Diseases, Jinan, Shandong, China; Innovation Base of stem cell and Gene Therapy for endocrine Metabolic diseases, Chuangxin, China; Department of Endocrinology, The First Affiliated Hospital of Baotou Medical College, Baotou, China
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Kim GJ, Han KD, Joo YH. Association of Metabolic Syndrome with the Risk of Head and Neck Cancer: A 10-Year Follow-Up Study of 10 Million Initially Healthy Individuals. Cancers (Basel) 2023; 15:4118. [PMID: 37627146 PMCID: PMC10452383 DOI: 10.3390/cancers15164118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 08/13/2023] [Accepted: 08/13/2023] [Indexed: 08/27/2023] Open
Abstract
The aim of this national population-based retrospective study was to analyze the relationship between MetS and the incidence of HNC. In this Korean population-based cohort study, 9,598,085 subjects above the age of 20 were monitored from 1 January 2009 to 31 December 2018. In the study population, a total of 10,732 individuals were newly diagnosed with HNC during the 10-year follow-up. The hazard ratio (HR), after adjusting for age, gender, smoking status, alcohol intake, and exercise, indicated that participants with MetS were at a 1.06-fold (95% CI: 1.01-1.10) higher risk of having HNC than those without MetS. Participants with MetS showed an increased risk of developing oral cavity cancer (HR, 1.12; 95% CI, 1.03-1.23) and laryngeal cancer (HR, 1.18; 95% CI, 1.09-1.27). Among the components of MetS, elevated fasting glucose (HR = 1.04, 95% CI: 1.00-1.08) and elevated blood pressure (HR = 1.08, 95% CI: 1.04-1.13) were significantly associated with an increased HR for HNC in an adjusted multivariable model. The association between HNC and MetS remained significant even among individuals who had never smoked or were ex-smokers (HR: 1.09; 95% CI: 1.04-1.15), as well as those who did not drink or were mild drinkers (HR: 1.07; 95% CI: 1.02-1.12). The findings of this cohort study suggest MetS was associated with an increased risk for some types of HNCs. The results of this study could assist with etiological investigations and prevention strategies.
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Affiliation(s)
- Geun-Jeon Kim
- Department of Otolaryngology-Head and Neck Surgery, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea;
| | - Kyung-Do Han
- Department of Biostatistics, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea;
| | - Young-Hoon Joo
- Department of Otolaryngology-Head and Neck Surgery, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea;
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Ji J, Yao Y, Guan F, Luo L, Zhang G. Impact of BMI on the Survival of Renal Cell Carcinoma Patients Treated with Targeted Therapy: A Systematic Review and Meta-Analysis. Nutr Cancer 2023; 75:1768-1782. [PMID: 37462083 DOI: 10.1080/01635581.2023.2237220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Revised: 06/27/2023] [Accepted: 06/28/2023] [Indexed: 08/31/2023]
Abstract
It is unclear whether obese renal cell carcinoma (RCC) patients treated with targeted therapy have better survival. We conducted this meta-analysis to assess the prognostic significance of body mass index (BMI) in RCC patients treated with targeted therapy. We systematically searched PubMed, Embase, Cochrane Library, and Web of Science by November 17, 2021. We calculated effect outcomes using random-effects and fixed-effects models. Fifteen articles were identified. We found that RCC patients treated with targeted therapy with BMI over 25 obtained better overall survival (OS) (hazard ratio [HR] = 0.69, 95% confidence interval [CI] = 0.58-0.82, I2 = 75.5%, p < 0.001) and progression-free survival (PFS) (HR = 0.71, 95%CI = 0.55-0.92, I2 = 69.7%, p = 0.006) than patients with BMI below 25. Obese (BMI over 30) patients had remarkably better OS (HR = 0.77, 95%CI = 0.70-0.85, I2 = 0.0%, p = 0.439) and PFS (HR = 0.86, 95%CI = 0.77-0.97, I2 = 0.0%, p = 0.934) than patients with BMI below 25. Overweight (BMI over 25 but below 30) patients also had better OS (HR = 0.86, 95%CI = 0.79-0.93, I2 = 17.7%, p = 0.295) and PFS (HR = 0.82, 95%CI = 0.74-0.90, I2 = 0.0%, p = 0.904) than patients with BMI below 25. When using BMI as continuous variable, patients with high BMI also obtained significantly better OS (HR = 0.92, 95%CI = 0.88-0.96, I2 = 0.0%, p = 0.806). Therefore, higher BMI was associated with greater OS and PFS in RCC patients treated with targeted therapy.
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Affiliation(s)
- Junjie Ji
- Department of Urology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Yu Yao
- Department of Urology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Fengju Guan
- Department of Urology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Lei Luo
- Department of Urology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Guiming Zhang
- Department of Urology, The Affiliated Hospital of Qingdao University, Qingdao, China
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de Andrade Mesquita L, Wayerbacher LF, Schwartsmann G, Gerchman F. Obesity, diabetes, and cancer: epidemiology, pathophysiology, and potential interventions. ARCHIVES OF ENDOCRINOLOGY AND METABOLISM 2023; 67:e000647. [PMID: 37364149 PMCID: PMC10660996 DOI: 10.20945/2359-3997000000647] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Accepted: 02/22/2023] [Indexed: 06/28/2023]
Abstract
The proportion of deaths attributable to cancer is rising, and malignant neoplasms have become the leading cause of death in high-income countries. Obesity and diabetes are now recognized as risk factors for several types of malignancies, especially endometrial, colorectal, and postmenopausal breast cancers. Mechanisms implicated include disturbances in lipid-derived hormone secretion, sex steroids biosynthesis, hyperinsulinemia, and chronic inflammation. Intentional weight loss is associated with a mitigation of risk for obesity-related cancers, a phenomenon observed specially with bariatric surgery. The impact of pharmacological interventions for obesity and diabetes is not uniform: while metformin seems to protect against cancer, other agents such as lorcaserin may increase the risk of malignancies. However, these interpretations must be carefully considered, since most data stem from bias-prone observational studies, and high-quality randomized controlled trials with appropriate sample size and duration are needed to achieve definite conclusions. In this review, we outline epidemiological and pathophysiological aspects of the relationship between obesity, diabetes, and malignancies. We also highlight pieces of evidence regarding treatment effects on cancer incidence in these populations.
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Affiliation(s)
- Leonardo de Andrade Mesquita
- Programa de Pós-graduação em Ciências Médicas: Endocrinologia, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brasil
- Hospital de Clínicas de Porto Alegre, Porto Alegre, Brasil, Porto Alegre, RS, Brasil
| | - Laura Fink Wayerbacher
- Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brasil
| | - Gilberto Schwartsmann
- Hospital de Clínicas de Porto Alegre, Porto Alegre, Brasil, Porto Alegre, RS, Brasil
- Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brasil
| | - Fernando Gerchman
- Programa de Pós-graduação em Ciências Médicas: Endocrinologia, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brasil
- Hospital de Clínicas de Porto Alegre, Porto Alegre, Brasil, Porto Alegre, RS, Brasil,
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Dong Y, Cheng Y, Feng X, Yuan Z, Dong H, Zhang Y, Han J, Wu Y, Wang Z, Zhong X, Fan X, Zhao J. Association of obesity under different metabolic status with adverse outcomes in patients with chronic myeloid leukemia: A retrospective cohort study. J Diabetes 2023; 15:436-447. [PMID: 37114451 PMCID: PMC10172021 DOI: 10.1111/1753-0407.13383] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Revised: 01/31/2023] [Accepted: 03/20/2023] [Indexed: 04/29/2023] Open
Abstract
BACKGROUND Little is known about the association between abnormal metabolic obesity states and the outcomes of chronic myeloid leukemia (CML), especially in patients with obesity with different metabolic status. Here, we used the Nationwide Readmissions Database to assess the effects of metabolically defined obesity on adverse outcomes of CML. METHODS Of the 35 460 557 (weighted) patients, we included 7931 adults with discharge diagnoses of CML from January 1, 2018 to June 30, 2018. The study population was observed until December 31, 2018 and divided into four groups based on body mass index and metabolic status. The primary outcome was the adverse outcomes of CML, including nonremission (NR)/relapse and severe mortality risk. Multivariate logistic regression analysis was performed to analyze data. RESULTS Metabolically unhealthy normal weight and metabolically unhealthy obesity were all risk factors for adverse outcomes of CML compared with metabolically healthy normal weight (all p < 0.01), and a significant difference was not found in the metabolically healthy obese. Female patients with metabolically unhealthy normal weight and metabolically unhealthy obesity had 1.23-fold and 1.40-fold increased NR/relapse risk, while male patients did not have this risk. Moreover, patients with a higher number of metabolic risk factors or with dyslipidemia were at higher risk of adverse outcomes, regardless of obesity status. CONCLUSIONS Metabolic abnormalities were associated with adverse outcomes in patients with CML, irrespective of obesity status. Future treatment of patients with CML should consider the effects of obesity on their adverse outcomes under different metabolic status, especially in female patients.
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Affiliation(s)
- Yingchun Dong
- Department of Endocrinology, Shandong Provincial Hospital, Shandong University, Jinan, China
- Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
- Shandong Clinical Research Center of Diabetes and Metabolic Diseases, Jinan, China
- Shandong Institute of Endocrine and Metabolic Diseases, Jinan, China
- Shandong Engineering Laboratory of Prevention and Control for Endocrine and Metabolic Diseases, Jinan, China
- Shandong Engineering Research Center of Stem Cell and Gene Therapy for Endocrine and Metabolic Diseases, Jinan, China
| | - Yiping Cheng
- Department of Endocrinology, Shandong Provincial Hospital, Shandong University, Jinan, China
- Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
- Shandong Clinical Research Center of Diabetes and Metabolic Diseases, Jinan, China
- Shandong Institute of Endocrine and Metabolic Diseases, Jinan, China
- Shandong Engineering Laboratory of Prevention and Control for Endocrine and Metabolic Diseases, Jinan, China
- Shandong Engineering Research Center of Stem Cell and Gene Therapy for Endocrine and Metabolic Diseases, Jinan, China
| | - Xiaoshan Feng
- Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
- Shandong Clinical Research Center of Diabetes and Metabolic Diseases, Jinan, China
- Shandong Institute of Endocrine and Metabolic Diseases, Jinan, China
- Shandong Engineering Laboratory of Prevention and Control for Endocrine and Metabolic Diseases, Jinan, China
- Shandong Engineering Research Center of Stem Cell and Gene Therapy for Endocrine and Metabolic Diseases, Jinan, China
| | - Zinuo Yuan
- Department of Endocrinology, Shandong Provincial Hospital, Shandong University, Jinan, China
- Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
- Shandong Clinical Research Center of Diabetes and Metabolic Diseases, Jinan, China
- Shandong Institute of Endocrine and Metabolic Diseases, Jinan, China
- Shandong Engineering Laboratory of Prevention and Control for Endocrine and Metabolic Diseases, Jinan, China
- Shandong Engineering Research Center of Stem Cell and Gene Therapy for Endocrine and Metabolic Diseases, Jinan, China
| | - Hang Dong
- Department of Endocrinology, Shandong Provincial Hospital, Shandong University, Jinan, China
- Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
- Shandong Clinical Research Center of Diabetes and Metabolic Diseases, Jinan, China
- Shandong Institute of Endocrine and Metabolic Diseases, Jinan, China
- Shandong Engineering Laboratory of Prevention and Control for Endocrine and Metabolic Diseases, Jinan, China
- Shandong Engineering Research Center of Stem Cell and Gene Therapy for Endocrine and Metabolic Diseases, Jinan, China
| | - Yue Zhang
- Department of Endocrinology, Shandong Provincial Hospital, Shandong University, Jinan, China
- Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
- Shandong Clinical Research Center of Diabetes and Metabolic Diseases, Jinan, China
- Shandong Institute of Endocrine and Metabolic Diseases, Jinan, China
- Shandong Engineering Laboratory of Prevention and Control for Endocrine and Metabolic Diseases, Jinan, China
- Shandong Engineering Research Center of Stem Cell and Gene Therapy for Endocrine and Metabolic Diseases, Jinan, China
| | - Junming Han
- Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
- Shandong Clinical Research Center of Diabetes and Metabolic Diseases, Jinan, China
- Shandong Institute of Endocrine and Metabolic Diseases, Jinan, China
- Shandong Engineering Laboratory of Prevention and Control for Endocrine and Metabolic Diseases, Jinan, China
- Shandong Engineering Research Center of Stem Cell and Gene Therapy for Endocrine and Metabolic Diseases, Jinan, China
| | - Yafei Wu
- Shandong Clinical Research Center of Diabetes and Metabolic Diseases, Jinan, China
- Shandong Institute of Endocrine and Metabolic Diseases, Jinan, China
- Shandong Engineering Laboratory of Prevention and Control for Endocrine and Metabolic Diseases, Jinan, China
- Shandong Engineering Research Center of Stem Cell and Gene Therapy for Endocrine and Metabolic Diseases, Jinan, China
| | - Zhixiang Wang
- Shandong Clinical Research Center of Diabetes and Metabolic Diseases, Jinan, China
- Shandong Institute of Endocrine and Metabolic Diseases, Jinan, China
- Shandong Engineering Laboratory of Prevention and Control for Endocrine and Metabolic Diseases, Jinan, China
- Shandong Engineering Research Center of Stem Cell and Gene Therapy for Endocrine and Metabolic Diseases, Jinan, China
| | - Xia Zhong
- Department of General Practice, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Xiude Fan
- Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
- Shandong Clinical Research Center of Diabetes and Metabolic Diseases, Jinan, China
- Shandong Institute of Endocrine and Metabolic Diseases, Jinan, China
- Shandong Engineering Laboratory of Prevention and Control for Endocrine and Metabolic Diseases, Jinan, China
- Shandong Engineering Research Center of Stem Cell and Gene Therapy for Endocrine and Metabolic Diseases, Jinan, China
| | - Jiajun Zhao
- Department of Endocrinology, Shandong Provincial Hospital, Shandong University, Jinan, China
- Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
- Shandong Clinical Research Center of Diabetes and Metabolic Diseases, Jinan, China
- Shandong Institute of Endocrine and Metabolic Diseases, Jinan, China
- Shandong Engineering Laboratory of Prevention and Control for Endocrine and Metabolic Diseases, Jinan, China
- Shandong Engineering Research Center of Stem Cell and Gene Therapy for Endocrine and Metabolic Diseases, Jinan, China
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Abstract
PURPOSE OF REVIEW This review aims to report the latest discoveries regarding the relationship between BMI, obesity, and cancer development and treatment. RECENT FINDINGS Obesity and metabolic syndrome relationships with cancer have been deeply investigated in the literature but their association is still debated. Currently, it has been recorded an association between BMI and endometrial, colorectal, gastric, liver, bladder, and prostate cancer. The mechanisms behind this association have also been investigated. It has been hypothesized that chronic inflammation determined by obesity may concur to the development of tumors and that Insulin Resistance may enhance cell proliferation directly or indirectly. Moreover, different studies suggest that the relationship between higher BMI and cancer may include metabolic disturbances comparable to those linked to metabolic syndrome. However, greater weight has been linked to a better overall prognosis in patients with advanced disease, a concept called the obesity paradox. This paradox has been recently investigated in the context of urological malignancies, such as bladder, prostate, and kidney cancer. SUMMARY Patients' metabolic and morphological status may impact their risk of developing different types of tumors and the response to systemic therapy. However, further research is necessary to better delineate the mechanisms behind these associations and how they could or should affect medical decision.
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21
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Manu P, Lăcătuşu CM, Rogozea LM, Cernea S. Pharmacological Management of Obesity: A Century of Expert Opinions in Cecil Textbook of Medicine. Am J Ther 2022; 29:e410-e424. [PMID: 35687055 DOI: 10.1097/mjt.0000000000001524] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
BACKGROUND Innovations in drug therapy for obesity have had a limited impact on the body mass index, prevalence of medical complications, quality of life, and work potential of a substantial majority of affected persons. STUDY QUESTION What are the milestones of the changes in the expert approach to the pharmacological management of obesity in the past century? STUDY DESIGN To determine the changes in the experts' approach to the management of obesity, as presented in a widely used textbook in the United States. DATA SOURCES The primary sources were chapters describing the management of obesity in the 26 editions of Cecil Textbook of Medicine published from 1927 through 2020. Secondary sources were publications retrieved from Medline that clarified technical issues related to the development, regulatory approval, and use of the drugs mentioned in the Cecil Textbook of Medicine. RESULTS Pharmacological interventions aimed at increasing caloric expenditures through thermogenesis were recommended from 1927 through 1943. Thyroid extracts were prescribed even in the absence of demonstrated hypothyroidism or decreased basal metabolic rate throughout this period. Dinitrophenol was mentioned in 1937, but was banned soon thereafter. Appetite suppression with amphetamine was considered useful from 1943 through 1988, after which the drug was replaced with other centrally acting molecules, such as fenfluramine in 1988, sibutramine in 2000, and rimonabant in 2008, which were in turn withdrawn because of major adverse effects. In the past decade, obesity has been treated with the appetite suppressants phentermine-topiramate, bupropion-naltrexone, lorcaserin, and liraglutide, and with orlistat, a drug promoting fat malabsorption. The change in weight produced by these drugs is generally modest and transient. CONCLUSIONS The pharmacological management of obesity has remained frustratingly inefficient. The reasons for the relative lack of success may reside in the ever-growing access to dense, palatable, and relatively inexpensive food, coupled with the decrease in energy expenditure created by a sedentary lifestyle.
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Affiliation(s)
- Peter Manu
- Department of Medicine, Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY
| | - Cristina-Mihaela Lăcătuşu
- Unit of Diabetes, Nutrition and Metabolic Diseases, Faculty of Medicine, "Grigore T. Popa" University of Medicine and Pharmacy, Iasi, Romania
| | - Liliana M Rogozea
- Basic, Preventive and Clinical Sciences Department, Transilvania University, Brasov, Romania
| | - Simona Cernea
- George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Targu Mures/Internal Medicine I; and
- Diabetes, Nutrition and Metabolic Diseases Outpatient Unit, Emergency County Clinical Hospital, Târgu Mureş, Romania. Drs. Manu and Lăcătuşu have contributed equally to this work
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22
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Leitner BP, Siebel S, Akingbesote ND, Zhang X, Perry RJ. Insulin and cancer: a tangled web. Biochem J 2022; 479:583-607. [PMID: 35244142 PMCID: PMC9022985 DOI: 10.1042/bcj20210134] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Revised: 02/13/2022] [Accepted: 02/15/2022] [Indexed: 12/13/2022]
Abstract
For a century, since the pioneering work of Otto Warburg, the interwoven relationship between metabolism and cancer has been appreciated. More recently, with obesity rates rising in the U.S. and worldwide, epidemiologic evidence has supported a link between obesity and cancer. A substantial body of work seeks to mechanistically unpack the association between obesity, altered metabolism, and cancer. Without question, these relationships are multifactorial and cannot be distilled to a single obesity- and metabolism-altering hormone, substrate, or factor. However, it is important to understand the hormone-specific associations between metabolism and cancer. Here, we review the links between obesity, metabolic dysregulation, insulin, and cancer, with an emphasis on current investigational metabolic adjuncts to standard-of-care cancer treatment.
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Affiliation(s)
- Brooks P. Leitner
- Departments of Cellular and Molecular Physiology, Yale School of Medicine, New Haven, CT, U.S.A
- Departments of Internal Medicine, Yale School of Medicine, New Haven, CT, U.S.A
| | - Stephan Siebel
- Departments of Cellular and Molecular Physiology, Yale School of Medicine, New Haven, CT, U.S.A
- Departments of Internal Medicine, Yale School of Medicine, New Haven, CT, U.S.A
- Departments of Pediatrics, Yale School of Medicine, New Haven, CT, U.S.A
| | - Ngozi D. Akingbesote
- Departments of Cellular and Molecular Physiology, Yale School of Medicine, New Haven, CT, U.S.A
- Departments of Internal Medicine, Yale School of Medicine, New Haven, CT, U.S.A
| | - Xinyi Zhang
- Departments of Cellular and Molecular Physiology, Yale School of Medicine, New Haven, CT, U.S.A
- Departments of Internal Medicine, Yale School of Medicine, New Haven, CT, U.S.A
| | - Rachel J. Perry
- Departments of Cellular and Molecular Physiology, Yale School of Medicine, New Haven, CT, U.S.A
- Departments of Internal Medicine, Yale School of Medicine, New Haven, CT, U.S.A
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23
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Zheng X, Peng R, Xu H, Lin T, Qiu S, Wei Q, Yang L, Ai J. The Association Between Metabolic Status and Risk of Cancer Among Patients With Obesity: Metabolically Healthy Obesity vs. Metabolically Unhealthy Obesity. Front Nutr 2022; 9:783660. [PMID: 35284439 PMCID: PMC8914254 DOI: 10.3389/fnut.2022.783660] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2021] [Accepted: 02/03/2022] [Indexed: 11/13/2022] Open
Abstract
Background Controversial evidence about the association between cancer risk and metabolic status among individuals with obesity has been reported, but pooled data remain absent. This study aims to present pooled data comparing cancer risk between patients with metabolically healthy obesity (MHO) and metabolically unhealthy obesity (MUO). Methods The current study systematically searched pieces of literature on January 4, 2021, of prospective cohorts that compare the incidence of cancer between MHO and MUO. The quality of included studies was assessed using Newcastle-Ottawa scale, and publication bias was evaluated using funnel plots. Results Eleven high-quality studies were eventually selected. Quantitative analysis indicates that a lower cancer incidence exists for MHO phenotype than that for MUO (odds ratio [OR], 0.71; 95% confidential interval [CI], 0.61-0.84). Consistent outcomes are presented by subgroup analyses, which are grouped by cohort region (western population: [OR, 0.84; 95% CI, 0.75-0.93]; Asian population: [OR, 0.64; 95% CI, 0.54-0.77]); definition of metabolic unhealthiness (≥3 metabolic abnormalities: [OR, 0.62; 95% CI, 0.54-0.71]; ≥1 metabolic abnormality: [OR, 0.76; 95% CI, 0.62-0.94]); and definition of obesity (body mass index (BMI), ≥30 kg/m2: [OR, 0.84; 95% CI, 0.73-0.98]; BMI, ≥25 kg/m2: [OR, 0.53; 95% CI, 0.52-0.55]). Conclusion In conclusion, this study suggests a reduced cancer risk for MHO compared to MUO regardless of population heterogeneity, or the definitions of obesity and metabolic status.
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Affiliation(s)
- Xiaonan Zheng
- Department of Urology and Institute of Urology of West China Hospital, Sichuan University, Chengdu, China
- Frontiers Science Center for Disease-Related Molecular Network, Institutes for Systems Genetics, West China Hospital, Sichuan University, Chengdu, China
| | - Ruilin Peng
- Department of Radiation Oncology, West China Hospital, Sichuan University, Chengdu, China
| | - Hang Xu
- Department of Urology and Institute of Urology of West China Hospital, Sichuan University, Chengdu, China
| | - Tianhai Lin
- Department of Urology and Institute of Urology of West China Hospital, Sichuan University, Chengdu, China
| | - Shi Qiu
- Department of Urology and Institute of Urology of West China Hospital, Sichuan University, Chengdu, China
| | - Qiang Wei
- Department of Urology and Institute of Urology of West China Hospital, Sichuan University, Chengdu, China
| | - Lu Yang
- Department of Urology and Institute of Urology of West China Hospital, Sichuan University, Chengdu, China
| | - Jianzhong Ai
- Department of Urology and Institute of Urology of West China Hospital, Sichuan University, Chengdu, China
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24
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Goodarzi G, Mozaffari H, Raeisi T, Mehravar F, Razi B, Ghazi ML, Garousi N, Alizadeh S, Janmohammadi P. Metabolic phenotypes and risk of colorectal cancer: a systematic review and meta-analysis of cohort studies. BMC Cancer 2022; 22:89. [PMID: 35062912 PMCID: PMC8781040 DOI: 10.1186/s12885-021-09149-w] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Accepted: 12/24/2021] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND The association of obesity with colorectal cancer (CRC) may vary depending on metabolic status. OBJECTIVE This meta-analysis aimed to investigate the combined impacts of obesity and metabolic status on CRC risk. METHODS The Scopus, PubMed, and web of sciences databases were systematically searched up to Jun 2021 to find all eligible publications examining CRC risk in individuals with metabolically unhealthy normal-weight (MUHNW), metabolically healthy obesity (MHO), and metabolically unhealthy obesity (MUHO) phenotypes. RESULTS A total of 7 cohort studies with a total of 759,066 participants were included in this meta-analysis. Compared with healthy normal-weight people, MUHNW, MHO, and MUHO individuals indicated an increased risk for CRC with a pooled odds ratio of 1.19 (95% CI = 1.09-1.31) in MUHNW, 1.14 (95% CI = 1.06-1.22) in MHO, and 1.24 (95% CI = 1.19-1.29) in MUHO subjects. When analyses were stratified based on gender, associations remained significant for males. However, the elevated risk of CRC associated with MHO and MUHO was not significant in female participants. CONCLUSIONS The individuals with metabolic abnormality, although at a normal weight, have an increased risk for CRC. Moreover, obesity is associated with CRC irrespective of metabolic status.
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Affiliation(s)
- Golnoosh Goodarzi
- Department of Nutrition, Science and Research Branch, Islamic Azad University, Tehran, Iran
| | - Hadis Mozaffari
- Faculty of Land and Food Systems, University of British Columbia, Vancouver, Canada
| | - Tahereh Raeisi
- Department of Medicine, Hormozgan University of Medical Sciences, Bandar Abbas, Iran
| | - Fatemeh Mehravar
- Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences (TUMS), Tehran, Iran
| | - Bahman Razi
- Department of Hematology, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran
| | - Maryam Lafzi Ghazi
- Department of Exercise Physiology, Central Tehran Branch, Islamic Azad University, Tehran, Iran
| | - Nazila Garousi
- Department of Clinical Nutrition, School of Nutrition and Food Science, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Shahab Alizadeh
- Department of Clinical Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran, Tehran Province, Iran
| | - Parisa Janmohammadi
- Department of Clinical Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran, Tehran Province, Iran.
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25
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Lin CJ, Chang YC, Hsu HY, Tsai MC, Hsu LY, Hwang LC, Chien KL, Yeh TL. Metabolically healthy overweight/obesity and cancer risk: A representative cohort study in Taiwan. Obes Res Clin Pract 2021; 15:564-569. [PMID: 34782258 DOI: 10.1016/j.orcp.2021.10.004] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Revised: 10/05/2021] [Accepted: 10/21/2021] [Indexed: 01/27/2023]
Abstract
OBJECTIVE Many cancers are caused by overweight; however, cancer risk varies among individuals with obesity. Few studies are addressing the relationship between metabolic obesity phenotypes and cancer. This study investigates the association between metabolically healthy overweight (MHOW) or metabolically healthy obesity (MHO) and cancer incidence. METHODS In a nationwide, representative community-based prospective cohort study, 5734 Taiwanese adults were classified into eight phenotypes according to body mass index (underweight <18.5; normal weight 18.5-23.9; overweight 24-26.9; and obese ≥27 kg/m2) and metabolic status (healthy/unhealthy). Participants with healthy cardiometabolic blood profiles included in the metabolic syndrome criteria and an absence of hypertension, diabetes, and hyperlipidemia were considered metabolically healthy. We used the Cox proportional hazards models to estimate the adjusted hazard ratio (HR) and 95% confidence intervals (95% CI). RESULTS During 73,389 person-years of follow-up, 428 incident cancers were identified. Compared to the participants with metabolically healthy normal weight, participants with MHOW (adjusted HR 1.39, 95% CI, 0.90-2.13) or MHO (adjusted HR 1.07, 95% CI, 0.51-2.22) had a tendency toward a higher risk of cancer. These associations were stronger in MHOW (adjusted HR 1.77, 95% CI, 1.09-2.86) or MHO (adjusted HR 1.39, 95% CI, 0.66-2.93) participants younger than 65 years. CONCLUSIONS This study was the first to investigate the impact of metabolic obesity phenotype on the incidence of cancer in the Taiwanese population. Even in the absence of metabolic abnormalities, overweight, and obesity may cause a modest increase in the risk of developing cancer.
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Affiliation(s)
- Chien-Ju Lin
- Department of Family Medicine, Hsinchu MacKay Memorial Hospital, Hsinchu City, Taiwan
| | - Yu-Chen Chang
- Department of Family Medicine, MacKay Memorial Hospital, Taipei City, Taiwan
| | - Hsin-Yin Hsu
- Department of Family Medicine, MacKay Memorial Hospital, Taipei City, Taiwan
| | - Ming-Chieh Tsai
- Department of Endocrinology, Department of Internal Medicine, MacKay Memorial Hospital, Tamsui Branch, Taiwan; Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei City, Taiwan
| | - Le-Yin Hsu
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei City, Taiwan
| | - Lee-Ching Hwang
- Department of Family Medicine, MacKay Memorial Hospital, Taipei City, Taiwan; Department of Medical Research, MacKay Memorial Hospital, Taipei City, Taiwan
| | - Kuo-Liong Chien
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei City, Taiwan; Department of Internal Medicine, National Taiwan University Hospital, Taipei City, Taiwan
| | - Tzu-Lin Yeh
- Department of Family Medicine, Hsinchu MacKay Memorial Hospital, Hsinchu City, Taiwan; Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei City, Taiwan.
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26
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Gaesser GA, Angadi SS. Obesity treatment: Weight loss versus increasing fitness and physical activity for reducing health risks. iScience 2021; 24:102995. [PMID: 34755078 PMCID: PMC8560549 DOI: 10.1016/j.isci.2021.102995] [Citation(s) in RCA: 79] [Impact Index Per Article: 19.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
We propose a weight-neutral strategy for obesity treatment on the following grounds: (1) the mortality risk associated with obesity is largely attenuated or eliminated by moderate-to-high levels of cardiorespiratory fitness (CRF) or physical activity (PA), (2) most cardiometabolic risk markers associated with obesity can be improved with exercise training independent of weight loss and by a magnitude similar to that observed with weight-loss programs, (3) weight loss, even if intentional, is not consistently associated with lower mortality risk, (4) increases in CRF or PA are consistently associated with greater reductions in mortality risk than is intentional weight loss, and (5) weight cycling is associated with numerous adverse health outcomes including increased mortality. Adherence to PA may improve if health care professionals consider PA and CRF as essential vital signs and consistently emphasize to their patients the myriad benefits of PA and CRF in the absence of weight loss.
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Affiliation(s)
- Glenn A. Gaesser
- College of Health Solutions, Arizona State University, Phoenix, AZ 85004, USA
| | - Siddhartha S. Angadi
- Department of Kinesiology, School of Education and Human Development, University of Virginia, Charlottesville, VA 22904, USA
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27
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Fernandez CJ, George AS, Subrahmanyan NA, Pappachan JM. Epidemiological link between obesity, type 2 diabetes mellitus and cancer. World J Methodol 2021; 11:23-45. [PMID: 34026577 PMCID: PMC8127420 DOI: 10.5662/wjm.v11.i3.23] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Revised: 03/02/2021] [Accepted: 03/19/2021] [Indexed: 02/06/2023] Open
Abstract
There exists a complex interaction between obesity, type 2 diabetes mellitus (T2DM) and cancer, and an increase in the incidence of cancer is expected with the growing obesity-diabetes pandemic. The association of cancer with diabetes mellitus and obesity appears to be site-specific, the highest risk being for post-menopausal breast cancer, endometrial cancer, and colorectal cancer. Moreover, there is worsening of hyperglycaemia with the onset of cancer, evidencing a bi-directional link between cancer and diabetes mellitus and the need for monitoring for diabetes in cancer survivors. In this review, we look at the epidemiological evidence from observational studies and Mendelian randomization studies linking obesity, diabetes, and cancer, as well as the complex pathophysiological mechanisms involved, including insulin resistance with associated hyperinsulinaemia, the effect of chronic low-grade inflammation, and the effect of various adipokines that are associated with obesity and T2DM. Additionally, we describe the novel therapeutic strategies, based on their role on the discrete pathophysiological mechanisms involved in the tumourigenesis.
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Affiliation(s)
- Cornelius J Fernandez
- Department of Endocrinology and Metabolism, Pilgrim Hospital, United Lincolnshire Hospitals NHS Trust, Boston PE21 9QS, United Kingdom
| | - Annu Susan George
- Department of Medical Oncology, VPS Lakeshore Hospital, Cochin 682040, India
| | | | - Joseph M Pappachan
- Department of Endocrinology and Metabolism, Lancashire Teaching Hospitals NHS Trust, Preston PR2 9HT, United Kingdom
- Faculty of Science, Manchester Metropolitan University, Manchester M15 6BH, United Kingdom
- Faculty of Biology, Medicine and Health, The University of Manchester, Manchester M13 9PL, United Kingdom
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28
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Burmester GR, Nash P, Sands BE, Papp K, Stockert L, Jones TV, Tan H, Madsen A, Valdez H, Cohen SB. Adverse events of special interest in clinical trials of rheumatoid arthritis, psoriatic arthritis, ulcerative colitis and psoriasis with 37 066 patient-years of tofacitinib exposure. RMD Open 2021; 7:e001595. [PMID: 34045358 PMCID: PMC8162077 DOI: 10.1136/rmdopen-2021-001595] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Revised: 04/30/2021] [Accepted: 05/04/2021] [Indexed: 12/30/2022] Open
Abstract
OBJECTIVES To analyse adverse events (AEs) of special interest across tofacitinib clinical programmes in rheumatoid arthritis (RA), psoriatic arthritis (PsA), ulcerative colitis (UC) and psoriasis (PsO), and to determine whether the incidence rates (IRs; unique patients with events per 100 patient-years) of these events are consistent across diseases. METHODS The analysis included data from patients exposed to ≥1 dose of tofacitinib in phase 1, 2, 3 or 3b/4 clinical trials and long-term extension (LTE) studies (38 trials) in RA (23 trials), PsA (3 trials), UC (5 trials) and PsO (7 trials). All studies were completed by or before July 2019, except for one ongoing UC LTE study (data cut-off May 2019). IRs were obtained for AEs of special interest. RESULTS 13 567 patients were included in the analysis (RA: n=7964; PsA: n=783; UC: n=1157; PsO: n=3663), representing 37 066 patient-years of exposure. Maximum duration of exposure was 10.5 years (RA). AEs within the 'infections and infestations' System Organ Class were the most common in all diseases. Among AEs of special interest, IRs were highest for herpes zoster (non-serious and serious; 3.6, 1.8, 3.5 and 2.4 for RA, PsA, UC and PsO, respectively) and serious infections (2.5, 1.2, 1.7 and 1.3 for RA, PsA, UC and PsO, respectively). Age-adjusted and sex-adjusted mortality ratios (weighted for country) were ≤0.2 across cohorts. CONCLUSIONS The tofacitinib safety profile in this analysis was generally consistent across diseases and with longer term follow-up compared with previous analyses.
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Affiliation(s)
- Gerd R Burmester
- Department of Rheumatology and Clinical Immunology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Peter Nash
- Department of Medicine, Griffith University, Brisbane, Queensland, Australia
| | - Bruce E Sands
- Dr. Henry D Janowitz Division of Gastroenterology, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
| | - Kim Papp
- Clinical Research, Probity Medical Research Inc, Waterloo, Ontario, Canada
| | | | | | | | - Ann Madsen
- Pfizer Inc, New York City, New York, USA
| | | | - Stanley B Cohen
- Metroplex Clinical Research Center, Dallas, Texas, USA
- Department of Internal Medicine, The University of Texas Southwestern Medical Center, Dallas, Texas, USA
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Grudén S, Forslund A, Alderborn G, Söderhäll A, Hellström PM, Holmbäck U. Safety of a Novel Weight Loss Combination Product Containing Orlistat and Acarbose. Clin Pharmacol Drug Dev 2021; 10:1242-1247. [PMID: 33580745 PMCID: PMC8518499 DOI: 10.1002/cpdd.920] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Accepted: 01/20/2021] [Indexed: 11/11/2022]
Abstract
The safety of a novel modified‐release oral capsule with orlistat and acarbose (MR‐OA) was investigated in 67 obese middle‐aged White men with a body mass index of 32 to 40 kg/m2 or 30 to 32 kg/m2 plus waist circumference >102 cm. The purpose of this investigation was to compare MR‐OA with the existing conventional orlistat regarding systemic safety defined as plasma orlistat concentration at the end of the treatment period of 14 days. Participants took the MR‐OA fixed‐dose combination formulation 3 times a day together with a major meal. Three different doses of MR‐OA were evaluated—60/20, 90/30, and 120/40 (mg orlistat/mg acarbose)—as well as 1 reference group who received the conventional orlistat, Xenical, with 120 mg of orlistat. Blood plasma was sampled on days 1 and 14. The orlistat plasma concentrations of the MR‐OA dose showed a delayed absorption and were lower compared with conventional orlistat at the end of the study. All doses were safe and well tolerated without any unexpected adverse events and no serious adverse events. The delay in the rise of orlistat plasma concentration indicates that the modified‐release properties of the MR‐OA formulation are effective. The systemic exposure of orlistat resulting from MR‐OA was similar, albeit a bit lower than the conventional orlistat with 120 mg of orlistat. We can therefore assume that the safety profile regarding the orlistat moiety of MR‐OA is comparable to the conventional orlistat and a promising approach for weight control in obese patients. Further clinical evaluation is underway.
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Affiliation(s)
| | - Anders Forslund
- Empros Pharma AB, Solna, Sweden.,Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden
| | - Göran Alderborn
- Empros Pharma AB, Solna, Sweden.,Department of Pharmacy, Uppsala University, Uppsala, Sweden
| | | | - Per M Hellström
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Ulf Holmbäck
- Empros Pharma AB, Solna, Sweden.,Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden
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