Coronary artery disease, caused by atherosclerosis, necessitates assessing plaque formation risk using indices like the atherogenic index of plasma (AIP), Castelli's risk indexes (CRI-I and CRI-II), the atherogenic coefficient (AC), and the triglyceride-total cholesterol-body weight index (TCBI). Although TCBI primarily assesses mortality risk, its relationship with stenosis severity is unclear. Utilizing data from a prior study, a case-control analysis was conducted on 1,187 subjects, which included 781 patients who underwent coronary angiography and 406 healthy controls. The indices were compared across varying degrees of arterial blockages.

AIP significantly correlated with stenosis severity in women, increasing the risk of three-vessel stenosis by 2.5 times. AC raised the risk of single-vessel stenosis in men by 2.7 times. CRI-I and CRI-II showed a positive relationship with arterial stenosis in women, with CRI-I increasing the risk of two and three-vessel blockages by 21.9% and 22.4%, respectively. A one-unit increase in CRI-II raised the risk by 33.1% for two arteries and 25.3% for three. In conclusion, AIP, CRI-I, and CRI-II in women, along with AC in men, correlated with arterial stenosis severity, while TCBI did not. Further research is needed to determine which index is most effective in predicting CAD risk.

The associations between atherogenic index of plasma (AIP) and cardiovascular disease (CVD) have been widely reported; However, such association to the incidence of stroke in the population with Cardiovascular-Kidney-Metabolic (CKM) syndrome remains ambiguous.

A total of 7754 participants with CKM syndrome stages 0-3 from the China Health and Retirement Longitudinal Study were enrolled in this study. The incidence of new-onset stroke events was the primary outcome of this study. We used Kaplan-Meier survival curves and Cox proportional hazards models to explore the association between baseline AIP levels and the risk of stroke in the population with CKM syndrome stages 0-3. Additionally, we utilized restricted cubic spline plots to analyze the form of this association.

During a median follow-up of 6.8 years, 455 participants (5.9%) with CKM syndrome experienced their first stroke events. AIP was positively associated with the risk of stroke in the population with CKM syndrome stages 0-3. Kaplan-Meier curves analysis demonstrated a significant difference in stroke incidence across the AIP groups among the entire cohort. In the fully adjusted Model 3, the results revealed a significantly elevated risk of stroke for participants in the Q2, Q3, and Q4 groups compared to those in the Q1 group, with respective HR (95% CI) value of 1.352 (1.009-1.811), 1.421 (1.064-1.897), and 1.414 (1.052-1.900). Restricted cubic spline plots revealed the association of AIP and stroke risk was nonlinear (P-overall < 0.05, P-non-linear < 0.05), with inflection points of 0.32.

This study provides evidence that baseline AIP levels were significantly positively associated with the risk of stroke in individuals with CKM syndrome stages 0-3, and AIP may serve as an effective risk marker for early identification of high-risk individuals prone to stroke within the CKM stages syndrome 0-3 population.

This study sought to examine the associations between cardiometabolic indices and the onset of metabolic dysfunction-associated steatotic liver disease (MASLD) as well as its progression to liver fibrosis.

This study comprised 25,366 subjects aged 18 years and older, free of MASLD at baseline, from the Dalian Health Management Cohort (DHMC). Cardiometabolic indices include cardiometabolic index (CMI), atherogenic index of plasma (AIP), triglyceride glucose (TyG), triglyceride glucose-body mass index (TyG-BMI), triglyceride glucose-waist circumference (TyG-WC) and triglyceride glucose-waist height ratio (TyG-WHtR). All participants were categorized into quartile groups based on cardiometabolic indices. Cox proportional hazards regression models and restricted cubic splines were employed to examine the relationship between cardiometabolic indices and the incidence of MASLD as well as its progression to liver fibrosis, and analyses were performed between different subgroups. Mediation analysis was employed to explore how obesity and inflammation serve as mediators in the connection between cardiometabolic indices and MASLD. To evaluate the predictive ability of cardiometabolic indices for the onset of MASLD, the time-dependent receiver operating characteristic (ROC) curve was utilized.

A total of 5378 (21.2%) individuals developed MASLD during the follow-up period of 82,445 person-years. Multivariates Cox regression analyses showed that participants in the highest quartile of cardiometabolic indices had greater risk of MASLD than those in the lowest quartile (CMI: HR = 6.11, 95% CI 5.45-6.86; AIP: HR = 4.58, 95% CI 4.11-5.10; TyG: HR = 3.55, 95% CI 3.21-3.92; TyG-BMI: HR = 13.55, 95% CI 11.80-15.57; TyG-WC: HR = 12.52, 95% CI 10.93-14.34; TyG-WHtR: HR = 11.37, 95% CI 9.96-12.98). TyG-BMI (HR = 1.36, 95% CI 1.18-1.57), but not other cardiometabolic indices, was associated with liver fibrosis. Mediation analysis indicated that BMI mediated 40.4%, 33.2%, 36.5%, - 10.4%, 37.4%, 48.5% of the associations between CMI, AIP, TyG, TyG-BMI, TyG-WC, TyG-WHtR and MASLD. Time-dependent ROC curves demonstrated that TyG-BMI had a superior predictive ability for MASLD onset compared to other indicators.

The risk of developing MASLD increases as the level of cardiometabolic indices increases. Obesity may serve as a mediating factor in the aforementioned association. TyG-BMI showed the strongest association with the onset of MASLD and its progression to liver fibrosis, proved to be outperformed other cardiometabolic indicators, and could be the best clinical non-invasive biomarker for early screening of MASLD and liver fibrosis.

The aims of this study are to evaluate the effectiveness of an online supervised training program in modulating lipid and glucose metabolism in children with obesity and to investigate the possible role of the 6-minute walking test (6MWT) as a predictor of metabolic improvement. A total of 35 Caucasian children with obesity (aged 8-13) were enrolled in the study and tested before (T0) and after (T1) a 12-week online supervised exercise training protocol: cardiovascular fitness (by means of 6MWT), metabolic biochemical profile, lifestyle (with ad hoc questionnaires focusing on physical activity, nutrition, sedentariness, sleep hours and quality, health perception) and Cardiac Autonomic Regulation (CAR) were assessed. Spearman correlations between the variations in the studied outcomes were explored. After intervention, the distance covered during 6MWT significantly increased (p < 0.001), and nutrition quality improved slightly but significantly (p = 0.03). The improvement in the 6MWT performance was shown to be significantly correlatee with the reduction of insulin levels (r = -0.455; p = 0.02), HOMA-IR Index (r = -0.452; p = 0.02), total cholesterol values (r = -0.549; p = 0.004) and Atherogenic Index of Plasma (AIP) (r = 0.422; p = 0.04). Moreover, there was a significant correlation between the improvement in 6MWT and health perception (r = 0.578; p = 0.002). We observed that the improvement in the 6MWT performance correlates with better metabolic profile after exercise training in children with obesity suggesting the goodness of this simple test on unveil changes in pathogenetic processes underlying obesity.

Insulin resistance (IR) is closely associated with the risk of breast cancer. The triglyceride-glucose (TyG) index and the triglyceride-glucose-body mass index (TyG-BMI) are considered surrogate indicators of IR; however, their prognostic value in breast cancer patients has not been discussed. The purpose of this study is not only to explore whether the TyG index and the TyG-BMI can predict the chemotherapy response and long-term prognosis of breast cancer patients receiving neoadjuvant chemotherapy (NACT) but also to investigate the possible mediating mechanism and to analyze the relationship between TyG-related enzyme expression and drug resistance and prognosis.

From November 2011 to December 2018, a total of 335 breast cancer patients referred to Harbin Medical University Cancer Hospital who received NACT and surgery were registered in this retrospective study. The TyG index and TyG-BMI before the first chemotherapy were retrospectively calculated. Tissue samples of breast cancer patients were obtained from the Cancer Genome Atlas database, and the associations between the expression levels of the FBP1 and G6PD enzymes and the clinicopathological features and prognosis of breast cancer were analyzed.

In receiver operating characteristic analyses, the optimal cutoff values for the TyG and TyG-BMI were determined at 8.01 and 194.91, respectively. Low levels of the TyG and TyG-BMI were not associated with pathological complete response. In multivariate analysis, high TyG was an independent prognostic factor for shorter disease-free survival (DFS; HR = 2.402, P = 0.008) and overall survival (OS; HR = 3.206, P = 0.010). After adjustments for the age group, cT stage group, and cN stage group, the dose-response relationships between TyG, TyG-BMI, and survival outcomes showed a linear correlation by restricted cubic spline analyses. Lg-transformed BMI did not significantly (P > 0.05) mediate the recurrence, metastasis, and deaths associated with TyG. The expressions of two enzymes related to TyG, FBP1 and G6PD, were higher in breast cancer tissues than in the adjacent normal tissues and were associated with the TNM stage. Survival analysis shows that patients with high expressions of FBP1 and G6PD have a shorter OS.

This study suggests that the TyG index level before NACT is an independent prognostic factor for DFS and OS and can serve as a promising biomarker to predict the long-term prognosis of breast cancer patients undergoing NACT. Moreover, the TyG index and TyG-BMI show a linear correlation with DFS and OS. The effect of the TyG index on DFS and OS is not significantly mediated by lg-transformed BMI. Besides, FBP1 and G6PD are prognostic indicators for breast cancer patients and may serve as biomarkers for the clinical diagnosis and treatment of breast cancer.

Polycyclic aromatic hydrocarbons (PAHs) are an organic chemical family produced during incomplete combustion of organic materials. Besides, PAHs are associated with different detrimental health effects. Therefore, this research was aimed to assess the association between PAHs exposure, metabolic syndrome (MetS) prevalence, and cardiovascular risk in a Mexican population. Urinary 1-hydroxypyrene (1-OHP) was the exposure biomarker quantified. MetS prevalence was defined using the National Cholesterol Education Program Adult Treatment Panel III (NCEP ATP III) and the International Diabetes Federation (IDF) criteria. Also, we used the atherogenic index of plasma (AIP) as a cardiovascular risk biomarker. The mean urinary 1-OHP level quantified was 2.50 ± 1.25 µmol/mol creatinine. The MetS prevalence found was 35% (n = 222) and 31% (n = 197) using NCEP ATP III and IDF criteria, respectively. The mean AIP value was 0.32 ± 0.15. Furthermore, the data analysis showed robust associations between PAH exposure (urinary 1-OHP concentrations), MetS prevalence, and cardiovascular risk (AIP). The real significance of the findings in this study needs to be clarified completely, as MetS and cardiovascular diseases represent a critical challenge in contaminated zones of developing countries such as Mexico.

Cardiovascular diseases are a leading cause of global mortality, with diet playing a key role in their progression. The Atherogenic Index of Plasma (AIP) is a predictive marker for cardiovascular risk, but its association with dietary intake across cardiometabolic phenotypes remains underexplored. This study investigates the relationship between dietary intake and AIP, hypothesizing that energy intake and macronutrients influence AIP and, consequently, cardiovascular risk.

This cross-sectional study analyzed data from 9,515 participants aged 35-55 in the Azar cohort study. Based on Body Mass Index (BMI) and metabolic syndrome (MetS), participants were classified into four phenotypes: metabolically healthy normal weight (MHNW), metabolically unhealthy normal weight (MUHNW), metabolically healthy obese (MHO), and metabolically unhealthy obese (MUHO). Dietary intake was evaluated using a semi-quantitative food frequency questionnaire (FFQ), and AIP was calculated. Adjustments were made for age, gender, socioeconomic status, and physical activity.

A notable difference was observed in demographic and clinical status between cardiometabolic groups of males and females. The AIP was highest in the MUHNW (0.42 for males; 0.28 for females) and lowest in the MHNW (0.05 for males; -0.05 for females, P < 0.001). There was a statistically significant difference in the mean energy intake and the percentage of energy intake from protein among the cardiometabolic phenotypes (p < 0.001). After adjusting for confounders, only weak but meaningful correlations remained for energy, carbohydrate, and protein intake in the MUHO (r = 0.048, P = 0.01; r = 0.057, P = 0.003; and r = 0.050, P = 0.01) and for carbohydrate and lipid intake in the MHO (r = 0.034, P < 0.01 and r = -0.055, P < 0.001).

The study found weak but meaningful correlations between energy, carbohydrate, and protein intake and AIP in the MUHO phenotype and between carbohydrate and lipid intake and AIP in the MHO phenotype. This highlights the role of energy and carbohydrates in AIP within specific subgroups. Future research should focus on the effects of macronutrient combinations on AIP and long-term dietary impacts on metabolic health instead of BMI.

The atherogenic index of plasma (AIP) is a reliable lipid marker associated with coronary artery stenosis (CAS) and cardiovascular events. However, the relationship between AIP and myocardial injury after non-cardiac surgery (MINS) remains insufficiently explored.

This retrospective study included adult patients who underwent non-cardiac surgery under general anaesthesia. The primary exposure was preoperative AIP, with MINS as the primary outcome. The predictive accuracy of AIP for MINS was assessed using the area under the curve (AUC). Restricted cubic splines (RCS) were used to explore the potential nonlinear relationship between AIP and MINS. Logistic regression analysis was conducted to examine the association of AIP with MINS. Subgroup and interaction analyses were carried out across multiple factors, including age, gender, body mass index, medical history, and the type of surgery (emergency or elective).

The cohort consisted of 1,160 adult patients, with a median preoperative AIP of -0.05. The incidence of MINS was 7.9%. The AUC for AIP in predicting MINS was 0.719, surpassing the AUCs of triglycerides and high-density lipoprotein cholesterol (0.644 and 0.683, respectively). RCS analysis demonstrated a linear relationship between AIP and MINS (P for nonlinear = 0.165). Patients in the highest quartile of AIP had significantly higher odds of developing MINS than those in the lowest quartile (adjusted OR, 8.05; 95% confidence interval [CI], 3.44 to 18.80; P < 0.001). The results across most subgroups were consistent with the primary analysis, showing no significant interaction effects.

A significant and independent linear relationship exists between preoperative AIP and the risk of MINS. As an economical and easily accessible lipid marker, AIP holds potential for preoperative screening of patients at risk of postoperative cardiovascular events.

The effects of atherogenic indices on kidney function remain unclear. This study evaluated the association between atherogenic indices and risk of chronic kidney disease (CKD) in adults with metabolic derangements.

A total of 4,176 participants from the Gangnam Severance Medical Cohort (2006-2021), which consisted of participants who had at least one disease related to metabolic derangements including diabetes mellitus, fatty liver, and hypertension were enrolled and atherogenic indices (lipid ratios including atherogenic index of plasma [AIP]) were assessed. The study endpoint was a composite kidney outcome (estimated glomerular filtration rate [eGFR] of <60 mL/min/1.73 m2 in at least two measurements in participants with baseline eGFR of ≥60 mL/min/1.73 m2; ≥30% decrease in eGFR from baseline in participants with baseline eGFR of <60 mL/min/1.73 m2; or the initiation of dialysis or kidney transplantation).

During a median follow-up of 6.0 years (interquartile range, 2.5-11.0 years), 1,266 composite kidney outcomes (30.3%) occurred. The highest quartile of AIP showed a higher risk of composite kidney outcome than the lowest quartile (hazard ratio [HR], 1.31; 95% confidence interval [CI], 1.12-1.54). This association was consistent when the AIP was treated as a continuous variable (HR per 1.0 increase, 1.51; 95% CI, 1.21-1.88). However, other atherogenic indices did not show significant associations with composite kidney outcome. Adding AIP to the traditional risk model to predict composite kidney outcomes significantly improved the C-index, net reclassification index, and integrated discrimination improvement. The association between high AIP and an increased risk of composite kidney outcome was consistent regardless of subgroup.

High AIP was associated with an increased risk of CKD in adults with metabolic derangements.

Background: Few studies have established a link between the atherogenic index of plasma (AIP) and post-stroke depression (PSD). This study aims to further investigate the potential relationship between the AIP and PSD, and to provide references for the prevention and prognosis management of patients with PSD.Methods: A cross-sectional study was conducted using data from participants in the National Health and Nutrition Examination Survey from 2005 to 2018. Inclusion criteria required complete data on the AIP, stroke history, and depression status. Weighted logistic regression models and restricted cubic splines (RCS) were employed to examine the association between the AIP and PSD. By subgroup and interaction analyses, the stability associated with AIP and PSD was assessed between different subgroups.Results: Among the 32,364 participants ultimately enrolled in the study, 482 were diagnosed with PSD. In the weighted multivariate logistic regression adjustment model 3, AIP, as a continuous variable, was positively associated with the risk of PSD [odds ratio (OR) = 1.85, 95% confidence interval (CI): 1.18, 2.91; P = 0.007]. After the quartile classification of AIP, the adjusted model 3 showed that the risk of PSD in group Q4 was significantly higher than that in group Q1 (OR = 1.61, 95%CI:1.10, 2.34; P = 0.006). In the RCS linearity test, AIP was positively associated with the risk of PSD (Pnon-linear = 0.357). The interaction test demonstrated that AIP only had an interaction with gender (Pinteraction = 0.031) and not with other variables (Pinteraction > 0.05).Conclusion: AIP was positively associated with the prevalence of PSD, suggesting that AIP may be a promising predictor of the risk of developing PSD. In addition, the interaction of AIP and gender differences combined to influence the incidence of PSD.

This study aimed to determine the metabolic syndrome (MS) prevalence in a sample of adolescents, to calculate their continuous metabolic syndrome scores, and to determine the associations of continuous metabolic syndrome score with overweight/obesity and selected cardiometabolic and lifestyle factors.

We enrolled a sample of 2,590 adolescents (1,180 males, mean age 17.1 ± 1.04 years) from 14 grammar schools and 48 secondary schools in the Bratislava Self-Governing Region, Slovakia. Data were collected from a standard anthropometric examination, biochemical analysis of fasting venous blood, blood pressure measurement, physical fitness assessment, and a comprehensive questionnaire focused on selected lifestyle characteristics. Continuous metabolic syndrome score and paediatric simple metabolic syndrome scores were calculated.

The criteria for the MS diagnosis according to the International Diabetes Federation (IDF) guidelines for children and adolescents were fulfilled in the whole sample by 38 (1.4%) adolescents; all were classified as overweight/obese. In the obese subgroup (n = 270), the MS prevalence rose to 13.3%. The largest number of adolescents was in the group without any of the MS components (67.5%). In the groups with 1, 2 or 3 MS components, males predominated; 0.6% of males and no females had 4 components of MS. The increasing number of individual components of MS is accompanied by a continuous increase (in the case of HDL-cholesterol - a decrease) of mean values mostly of blood lipid levels. Mean values of blood pressure (BP) and anthropometric parameters were highest in the group with three MS components. Significant correlations with body fat content or with selected lifestyle factors were not found. Using the continuous MS score calculation we found 31 adolescents, of whom 14 (45.2%) had only 1 or at most 2 MS components, i.e., they did not meet the criteria for the MS diagnosis.

From the point of view of atherosclerosis prevention and early intervention, it is extremely important to monitor the MS prevalence in children and adolescents, especially in the current obesity pandemic. The paediatric MS score calculation is simple and accurate, allowing assessment of the severity of cardiometabolic risk in individuals even before the diagnosis of MS. The continuous MS score is useful in identifying individuals at increased risk and in the management of preventive health care for children and youth.

Habitual dietary changes that could help reduce the potential consequences of excessive body mass, such as hyperlipidemia and increased cardiovascular disease risk, are needed. The aim of this study is to assess the impact of a farmed-salmon-based dietary intervention on lipid profile parameters in young women with excessive body mass.

The 8-week intervention involved 38 pair-matched women aged 18-30 years with excessive body weight defined as BMI ≥ 25.0 kg/m2. Participants were randomly assigned to the intervention (200 g of smoked salmon weekly) or the control group. Lipid profile parameters (total cholesterol (TC), high-density lipoprotein (HDL), low-density lipoprotein (LDL), triglycerides (TAG)), as well as atherogenic indices (Atherogenic Index of Plasma (AIP), Atherogenic Coefficient (AC), Cholesterol Index (Cholindex), Castelli Risk Index 1 (CRI-1), Castelli Risk Index 2 (CRI-2) and the TAG/HDL ratio) were assessed before, during, and after the intervention.

At baseline, 47% of participants had at least one of the lipid profile parameters outside the recommended range. No statistically significant differences were observed in the TC, HDL, non-HDL, LDL, or TAG concentrations or in the various atherogenic indices between the intervention and the control group after the 8-week-long intervention. However, differences in the change of the LDL concentration were noted, with a decrease of 8.2 ± 20.7 mg/dL in the intervention group compared to an increase of 9.5 ± 20.0 mg/dL in the control group (p = 0.011), as well as in the change of the Cholindex for which a median decrease of 4.4 mg/dL was noted in the intervention group, while a median increase of 0.8 mg/dL in the control group was observed (p = 0.040). Additionally, across participants with a waist-to-height ratio (WHtR) greater than 0.5, an increase of 50.0 ± 68.3 mg/dL in the intervention group and a decrease of 8.6 ± 56.6 mg/dL in the control group was noted for the TAG concentration change (p = 0.040).

Concerning the observed beneficial influence of increasing farmed salmon intake to the recommended fish-intake amounts on decreasing LDL and Cholindex in young women with excessive body weight after 8 weeks, it seems that such a diet alteration might be recommended for this group to decrease their risk of cardiovascular disease in the future. Nonetheless, regarding the diverse influence on TAG, further studies are needed to assess the influence of increasing the intake of fatty fish available on the market at present on human health.

This study aimed to evaluate the relationships of conventional and calculated lipid indices with obesity or overweight in patients with type 2 diabetes (T2D).

In this cross-sectional study, all participants were categorised into three groups: normal weight (18 ≤ BMI < 25), overweight (25 ≤ BMI < 30) and obese (BMI ≥ 30). Conventional lipid indices, including triglyceride (TG), total cholesterol, LDL-C and HDL-C, were measured. Lipid indices, including the atherogenic index of plasma (AIP), non-HDL-C, TC/HDL-C, LDL-C/HDL-C, non-HLD-C/HDL-C (atherogenic index, AI) and lipoprotein combine index (LCI), were calculated. The associations of these lipid indices with obesity and overweight status were evaluated using univariate and multivariate multinomial logistic regression analyses.

In this study, 2661 patients with T2D, including 651 patients with normal weight, 1144 with overweight, and 866 with obesity, were recruited. According to a multinomial logistic regression analysis after adjustment for multiple confounders, the odds ratio (OR) was greater for the AIP than for other conventional and calculated lipid indices in overweight and obese patients with T2D. The AIP had a significant relationship with overweight, with an OR of 4.79 (95% CI: 1.65-13.85), and it had a significant relationship with obesity, with an OR of 13.64 (95% CI: 3.96-47.04). According to the ROC curve, with a cut-off value of 0.68, AIP could predict obesity with 82% sensitivity and 55% specificity (AUC = 0.770, 95% CI: 0.729-0.812, p < 0.001).

Compared with other conventional and calculated lipid markers, the AIP is most strongly associated with obesity and overweight in patients with T2D.

Triglyceride (TG) and its related metabolic indices are recognized as important biomarker gauging cardiovascular diseases. This study aimed to explore the association between multiple TG-derived metabolic indices including the atherogenic index of plasma (AIP), triglyceride-glucose (TyG) index, triglyceride glucose-body mass index (TyG-BMI) and cardiovascular outcomes to identify valuable predictors for cardiovascular prognosis in patients with type 2 diabetes (T2DM) and coronary heart disease (CHD).

Data of 1034 patients with T2DM and CHD from China-Japan Friendship Hospital between January 2019 and March 2022 were collected and analyzed. Multivariate Cox proportional hazards models and restricted cubic spline (RCS) analysis were conducted to examine the associations between AIP, TyG index, TyG-BMI and major adverse cardiac and cerebrovascular events (MACCEs). The area under the receiver operating characteristic (ROC) curve (AUC) was used to screen the most valuable predictor. Kaplan-Meier curve analysis was employed to examine the relationship between the predictor and prognosis. The goodness-of-fit of models was evaluated using the calibration curve and χ2 likelihood ratio test. Subgroup analysis and interaction test were performed to control for confounding factors.

The overall incidence of MACCEs was 31.04% during a median of 13.3 months of follow-up. The results showed that AIP, TyG index and TyG-BMI were all positively correlated with the risk of MACCEs in patients with T2DM and CHD (P < 0.05). Furthermore, ROC (AUC = 0.899) suggested that AIP had the strongest ability to predict the risk of MACCEs, and the highest AIP values enhanced the risk by 83.5% in the population. RCS model demonstrated that AIP was nonlinearly associated with the incident cardiovascular outcomes (P for nonlinear = 0.0118). The Kaplan-Meier analysis for MACCEs grouped by the AIP tertiles indicated that the probability of cumulative incidences of MACCEs was significantly higher in patients with a higher AIP (all Log rank P < 0.001). Meanwhile, the calibration curve demonstrated an excellent goodness-of-fit of the multivariate model (χ2 = 13.210, P = 0.105). Subgroup analysis revealed that the trend of positive association of AIP with cardiovascular risk was similar across subgroups except in non-hypertensive individuals.

Our study, for the first time, may provide valuable information that multiple TG-derived metabolic indices play a crucial role in the risk of MACCEs and it is recommended to monitor the AIP for lipid management in patients with established T2DM and CHD.

Emerging studies reveal a shared pathophysiological underpinning for metabolic problems and mental illnesses. The present study aimed to determine the association between atherogenic index of plasma (AIP) and the incidence of major depressive disorder (MDD).

7,951 subjects of US adults were collected from the National Health and Nutrition Examination Survey (NHANES) 2005-2018. MDD was evaluated through the Patient Health Questionnaire (PHQ-9). Multivariate logistic regression, sensitivity analysis, and spline smoothing plot method were used to identify the relationship between AIP and MDD. The cut-off point was calculated using recursive partitioning analysis when segmenting effects emerged. The area under the receiver operating characteristic (ROC) curve (AUC) and Hosmer-Lemeshow test were conducted to evaluate the performance of AIP in identifying MDD. Subgroup analyses and interaction tests were used to explore whether the association was stable in different populations.

A positive correlation between AIP and PHQ-9 score and MDD was both observed in 7,951 subjects included in the study, with a significant threshold of -0.42 determined using recursive partitioning analysis. In the fully adjusted model, a positive association between AIP and PHQ-9 score and MDD was observed (β=0.46, 95% CI 0.14~0.78; OR=1.42, 95% CI 1.04~1.93). Individuals in the highest AIP quartile had a 0.39-unit higher PHQ-9 score (β=0.39, 95% CI 0.12~0.66) and a significantly 33% greater risk of MDD than those in the lowest AIP quartile (OR=1.33, 95% CI 1.02~1.73). Spline smoothing plot analysis further confirmed the positive and non-linear association between AIP and PHQ-9 and MDD. ROC analysis (AUC=0.771) and the Hosmer-Lemeshow test (χ2 = 14.239, P=0.076) suggested an excellent performance and goodness-of-fit of the relatively optimal model. DCA and CIC analysis also revealed a favorable overall net benefit and clinical impact of the model. Subgroup analyses and interaction tests revealed that the association between AIP and PHQ-9 score and MDD remained consistent across different subgroups and was not modified by other covariates, and this positive correlation was more pronounced in those with diabetes or hypertension.

An elevated AIP is linked to a higher chance of MDD, especially in those with diabetes or hypertension. Resolving dyslipidemia and managing comorbidities may help reduce the likelihood of developing MDD.

The association between the atherogenic index of plasma (AIP) and stroke risk is uncertain. Overweight and obese individuals frequently develop atherosclerosis, suggesting AIP may mediate the relationship between body mass index (BMI) and stroke risk. This study investigates whether AIP mediates the BMI-stroke association and evaluates the interaction effects of AIP and BMI on stroke risk in middle-aged and older Chinese adults.

This study analyzes data from the China Health and Retirement Longitudinal Study (CHARLS), an ongoing nationally representative prospective cohort study that began in 2011. It includes 8 598 middle-aged and older Chinese adults without stroke at baseline. A mediation analysis, employing a novel two-stage regression method, was conducted to evaluate the indirect effect of BMI on stroke through AIP.

During a median follow-up of 7.1 years, 615 (7.2%) participants developed a stroke. After adjusting for confounders, AIP was significantly associated with stroke risk (hazard ratio [HR] per 1-SD increase, 1.24; 95% CI 1.14-1.35). Mediation analysis indicated that compared to normal weight, obesity similarly raised stroke risk by 78.0% (HR 1.78, 95% CI 1.40-2.27), with 29.67% (95% CI 14.27-45.08%) of the association mediated through AIP (HR 1.15, 95% CI 1.08-1.23). No significant multiplicative or additive interactions were observed between BMI and AIP on stroke.

This study found that the AIP appeared to be associated with stroke risk and mediates the association between obesity and stroke among middle-aged and older Chinese adults.

Dyslipidemia is an important risk factor for cardiovascular morbidity and mortality. Although low-density lipoprotein (LDL) is primarily responsible, the importance of triglyceride (TG) and high-density lipoprotein (HDL) has also been recognized. The present study investigated the effect of the atherogenic index of plasma (AIP), in which atherogenic and protective lipoproteins were evaluated together, on the initial flow in patients with ST elevation myocardial infarction. AIP was calculated as log(TG/HDL-cholesterol). Patients included in the study (n = 1535) were divided into Thrombolysis in Myocardial Infarction (TIMI) flow grade 0 and >0. AIP was found to be significantly different between 2 groups (.55 ± .23 vs .67 ± .21; P < .001). AIP was an independent predictor for pre-intervention TIMI flow (Odds Ratio: 2.778). A moderate correlation was found between TIMI frame count measurements, calculated in patients with TIMI 2-3, and AIP (Pearson correlation coefficient: .63, P < .001). In the receiver operating characteristic analysis, AIP showed the highest area under curve (AUC) compared with other lipid parameters for predicting vascular patency. The AUC of AIP was .634, the cut-off value was .59, and the sensitivity and specificity were 67.6% and 68.4%, respectively (P < .001). In conclusion, AIP was found to be an important marker affecting pre-percutaneous coronary intervention TIMI flow.

New indices of dyslipidemia, such as the Atherogenic Index of Plasma (AIP) or Castelli Risk Index I and II (CR-I/II), have been tested to predict erectile dysfunction (ED). The aim of this study was to assess the role of these lipidic scores in predicting severe ED and erectile function (EF) worsening in patients who underwent robot-assisted radical prostatectomy (RARP).

Data from 1249 prostate cancer patients who underwent RARP at our single tertiary academic referral center from September 2021 to April 2023 were reviewed. RARP patients with a complete lipid panel were included in the final analysis. Two independent multivariable logistic regression models (LRMs) were fitted to identify predictors of ED severity and worsening in RARP patients.

Among the 357 RARP patients, the median age was 70 (interquartile range [IQR]: 65-74), and the median BMI was 28.4 (IQR: 26-30.4). According to the preoperative IIEF5, 115 (32.2%), 86 (24.5%), 26 (7.3%), and 40 (11.2%) were mild, mild-moderate, moderate, and severe ED patients, respectively. After multivariable LRMs predicting severe ED, only the nerve-sparing (NS) approach (odds ratio [OR]: 0.09) as well as the preoperative IIEF5 score (OR: 0.32) were independent predictors (p < 0.001). After LRMs predicting EF worsening, only preoperative IIEF5 was an independent predictor (OR: 1.42, p < 0.001).

The power of novel lipidic scores in predicting severe ED and EF worsening in RARP patients was low, and they should not be routinely applied as a screening method in this patient subgroup. Only preoperative IIEF5 and nerve-sparing approaches are relevant in EF prediction after RARP.

This study, utilizing data from the U.S. National Health and Nutrition Examination Survey (NHANES) between 2005 and 2018, investigates the association between the atherogenic index of plasma (AIP), a lipid biomarker, and symptoms of depression in American adults.

In this cross-sectional study of 12,534 adults aged 20 years and older, depressive symptoms were measured utilizing the Patient Health Questionnaire-9 (PHQ-9) scale. Weighted logistic regression models were employed to scrutinize the independent relationship between AIP levels and the likelihood of developing such symptoms. Moreover, a series of subgroup analyses were conducted to delve deeper into these relationships.

Following adjustment for confounders, logistic regression by grouping AIP into quartiles revealed a significant association between AIP and an augmented likelihood of self-reported depression. Participants in the fourth quartile (Q4) exhibited a higher odds ratio (OR = 1.34, 95 % CI: 1.02-1.75, p < 0.05) compared to those in the first quartile (Q1). Notably, subgroup analysis unveiled significant interactions involving the smoking and diabetes subgroups, indicating that smoking status and diabetes may modify the relationship between AIP and depression incidence.

This study reveals a positive correlation between AIP and the self-reported likelihood of depression among US adults, thereby underscoring AIP's potential clinical utility as a biomarker for depressive disorders. Our findings emphasize the necessity to consider and optimize cardiovascular health factors within depression management strategies and offer fresh insights into the development of risk stratification and intervention methods for psychiatric conditions.

Hyperlipidaemia is a recognised risk factor for cardiovascular disease. In this study, the antihyperlipidaemic properties of spirulina (Arthrospira platensis, strain S2 from Serbia) were tested in adult Wistar rats before and after induction of hypercholesterolaemia by a high-fat diet (HFD) to compare the preventive with the curative effect. Total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), alanine transaminase (ALT) and aspartate transaminase (AST) levels were measured in the blood samples. The chemical composition (lipids, proteins and cholesterol) and the content of bile acids in the faeces of the animals were also analysed. Feeding rats with an atherogenic diet for 10 weeks led to the successful development of hyperlipidaemia, as serum TC and LDL-C levels as well as lipids, cholesterol and bile acids in the animals' faeces were significantly increased. Pre- and post-treatment with spirulina led to a reduction in serum LDL, TC and ALT levels. Administration of spirulina resulted in both a significant increase in primary bile acids excretion and a decrease in bile acids metabolism, with pre-treatment being more effective than post-treatment in some cases. These results suggest that increased excretion of bile acids as well as an effect on the gut microbiota may be the mechanism responsible for the anti-hyperlipidaemic activity of the tested spirulina strain.

Insulin resistance (IR) significantly contributes to cardiovascular disease (CVD) development. Triglyceride glucose (TyG) index and triglyceride glucose-body mass index (TyG-BMI) are recognised as convenient proxies for IR. However, their relationship with sudden cardiac arrest (SCA) remains unclear.

This prospective cohort analysis included 355,242 UK Biobank participants with available TyG index and TyG-BMI data and no history of CVD. Cox proportional risk models assessed the association between the TyG index, TyG-BMI and SCA risk. Additionally, Accelerated Failure Time (AFT) models were employed to investigate the timing of SCA onset. The impact of dynamic increases in TyG index and TyG-BMI levels on SCA risk was examined using restricted cubic spline.

Over a median follow-up period of 165.4 months (interquartile range 156.5-174 months), 1,622 cases of SCA were recorded. Multivariate Cox regression analysis revealed a 9% increase in SCA risk per standard deviation increase in TyG index (adjusted hazard ratio (aHR) = 1.09, 95% confidence interval (CI) 1.04-1.15) and an 14% increase per standard deviation increase in TyG-BMI (aHR 1.14, 95% CI 1.09-1.2). AFT models indicated earlier median times to SCA occurrence with increasing quintiles of TyG index and TyG-BMI compared to the lowest quintile (P for trend < 0.05). SCA risk was linearly (P = 0.54) and non-linearly (P = 0.007) correlated with gradual increases in TyG index and TyG-BMI levels, respectively. Sex-stratified analyses showed stronger associations in women.

Higher TyG index and TyG-BMI levels are associated with an increased SCA risk and earlier onset, particularly in women.

The aim of the study was to assess the impact of two lengths of Nordic walking (NW) training interventions combined with time-restricted eating (TRE) on improving body-composition parameters, lipid profiles, and levels of selected adipokines in women with elevated body mass. Overweight and obese women (n = 55, age: 21-85) were recruited. Four groups were selected: 6 weeks (SG6, n = 13) and 12 weeks intervention (SG12, n = 13); and two control groups: CON6 (n = 13) and CON12 (n = 13). The training sessions took place three times a week (60 min each) and were conducted outdoors under the supervision of a professional coach. The training intensity was determined individually. The extended NW program combined with TRE induced a significant weight reduction in SG12 by 1.96 kg (p = 0.010) and fat tissue by 1.64 kg (p = 0.05). The proposed interventions did not affect LBM, TBW [kg], VFA, and lipid profile. The LDL/HDL ratio changed with a small size effect. The leptin concentration differed between groups (p = 0.006), but not over time. For resistin, the differentiating factor was time (p = 0.019), with lower results observed after the intervention. The change in leptin concentration was negatively correlated with its baseline concentration (p = 0.025). Extended to 12 weeks, this intervention allows for an improvement in body composition. Neither 6 nor 12 weeks of training and fasting affected the lipoprotein profile. It is, therefore, indicated to recommend prolonged training protocols and to inform patients that beneficial effects will be seen only after prolonged use of training and time-restricted eating.

Limited research has explored the effectiveness of insulin resistance (IR) in forecasting metabolic syndrome (MetS) risk, especially within the Iranian population afflicted with type 2 diabetes mellitus (T2DM). The present investigation aimed to assess the efficacy of IR indices in predicting the risk of MetS among T2DM patients. Convenient sampling was utilized to select four hundred subjects with T2DM. Metabolic factors and IR indices, including the Waist Circumference-Triglyceride Index (WTI), Triglyceride and Glucose Index (TyG index), the product of TyG index and abdominal obesity indices, and the Metabolic Score for Insulin Resistance (METS-IR), were evaluated. Logistic regression, coupled with modeling, was employed to explore the risk of MetS. The predictive performance of the indices for MetS stratified by sex was evaluated via receiver operating characteristic (ROC) curve analysis and estimation of the area under the curve (AUC) values. The TyG-Waist Circumference (TyG-WC) index exhibited the largest AUCs in both males (0.91) and females (0.93), while the TyG-Body Mass Index (TyG-BMI) demonstrated the smallest AUCs (0.77 in males and 0.74 in females). All indices significantly predicted the risk of MetS in all subjects before and after adjustment (p < 0.001 for all). The TyG-WC index demonstrated the highest odds ratios for MetS (8.06, 95% CI 5.41-12.00). In conclusion, all IR indices assessed in this study effectively predicted the risk of MetS among Iranian patients with T2DM, with the TyG-WC index emerging as the most robust predictor across both genders.

Metabolism dysfunction-associated fatty liver disease (MAFLD), is the most common chronic liver disease. Few MAFLD predictions are simple and accurate. We examined the predictive performance of the albumin-to-glutamyl transpeptidase ratio (AGTR), plasma atherogenicity index (AIP), and serum uric acid to high-density lipoprotein cholesterol ratio (UHR) for MAFLD to design practical, inexpensive, and reliable models.

The National Health and Nutrition Examination Survey (NHANES) 2007-2016 cycle dataset, which contained 12,654 participants, was filtered and randomly separated into internal validation and training sets. This study examined the relationships of the AGTR and AIP with MAFLD using binary multifactor logistic regression. We then created a MAFLD predictive model using the training dataset and validated the predictive model performance with the 2017-2018 NHANES and internal datasets.

In the total population, the predictive ability (AUC) of the AIP, AGTR, UHR, and the combination of all three for MAFLD showed in the following order: 0.749, 0.773, 0.728 and 0.824. Further subgroup analysis showed that the AGTR (AUC1 = 0.796; AUC2 = 0.690) and the combination of the three measures (AUC1 = 0.863; AUC2 = 0.766) better predicted MAFLD in nondiabetic patients. Joint prediction outperformed the individual measures in predicting MAFLD in the subgroups. Additionally, the model better predicted female MAFLD. Adding waist circumference and or BMI to this model improves predictive performance.

Our study showed that the AGTR, AIP, and UHR had strong MAFLD predictive value, and their combination can increase MAFLD predictive performance. They also performed better in females.

Significant risk factors for atherosclerosis include hyperlipidemia and oxidative stress, which together rank as three of the most significant risk factors for cardiovascular diseases. Securigera securidaca lowers cholesterol levels in diabetic rats' blood. This investigation's objective was to determine how methanolic extracts affected the flowers, leaves, and seeds of plants in rats that were fed a high-fat diet (HFD). Five groups of animals were created (n = 5). A total of 35 days, divided into two intervals, were used for the study. Rats received HFD during the first 15-day interval, while during the second 20-day interval, they also received extracts or the Atorvastatin reference drug. The extract of seeds has a high phenol content as well as DPPH radical antioxidant activity. Extracts were given at a dose of 200 mg/kg; p.o. Methanolic treatment of S. securidaca flowers, leaves, and seeds in HFD-induced hyperlipidemic rats resulted in significant reductions in total cholesterol, triglycerides, LDLC, and VLDL-C levels. HDL-C levels increased significantly because of the leaves. While in hyperlipidemic rats, seeds significantly reduced the activities of the enzymes ALT and ALP. The findings showed that, to a certain extent, seeds, flowers, and leaves may have benefits in reducing hyperlipidemia brought on by HFD in terms of lipid profiles and liver function enzymes. The findings of this study indicate a promising application prospect, but more research is needed to determine the exact mechanism of these novel compounds as antihyperlipidemic agents and to clarify their potential combination effect with synthetic drugs such as Atorvastatin. Combinations can reduce the dose of chemical medications required, which lowers the risk of side effects.

The burden of cardiovascular disease (CVD) is huge due to its associated morbidity, mortality and adverse socio-economic impact. Environmental pollution as a risk factor contributes significantly to the burden of CVD, especially in the low and middle income countries. One of the effective strategies to reduce CVD burden is to prevent or detect cardiovascular risk factors early in at-risk population. This study determined some cardiovascular risk factors, kidney function, and their association with heavy metals among automobile mechanics.

This was a cross-sectional study involving 162 automobile mechanics and 81 age and sex matched controls. Serum levels of lead, cadmium and some cardiovascular risks were assessed and compared in the two groups. Associations between serum lead, cadmium and some cardiovascular risks were determined using correlation analysis. P value of <0.05 was taken as significant.

The mean ages of the automobile mechanics and controls were 47.27±9.99 years and 48.94±10.34 years, respectively. The prevalence of elevated serum cadmium was significantly higher in the automobile mechanics (25.9% vs 7.9%; p = <0.001). The significant cardiovascular risk factors in the automobile mechanics vs controls were elevated total cholesterol (32.1% vs 18.5%; p = 0.017), hyperuricemia (20.4% vs 1.2%; p = <0.001), elevated blood glucose (16.0% vs 4.9% p = 0.013); and alcohol use (55.1% vs 30.0%; p = 0.001). Among the automobile mechanics, there were significant positive correlations between serum cadmium, atherogenic index of plasma (AIP) (p = 0.024; r = 0.382) and triglyceride (p = 0.020; r = 0.391). Significant positive correlation was found between serum lead and neutrophil gelatinase associated lipocalin (NGAL) (p = <0.001; r = 0.329). There were significant positive correlation between serum cadmium level, AIP (p = 0.016; r = 0.373) and TG (p = 0.004; r = 0.439); between serum lead and NGAL in all the study participants (p = 0.005; r = 0.206).

Automobile mechanics have notable exposure to heavy metals and a higher prevalence of some cardiovascular risk factors. Health education and sensitisation as well as policies that would regulate exposure of persons to heavy metals should be implemented in Nigeria.

Numerous studies have demonstrated the role of oxidative stress in metabolic disorders which presents as a major global problem. The antioxidant properties of the tomato fruit and the ketogenic diet has likewise been established by different authors. This study uses a fruit fly model to examine the synergistic effect of a ketogenic diet and tomato powder mix on biochemical alterations induced by the High-Fat Diet (HFD) and the High-Sugar Diet (HSD). Six groups of male fruit flies consisting of fifty flies per vial were administered Normal Diet (ND), High-Fat Diet (HFD), High Sugar Diet (HSD), Ketogenic Diet (KD), Tomato Powder-mix (TP), and HSD + HFD, for ten days. Further treatment of KD and TP was administered to group six vials to constitute groups seven to nine: HSD + HFD + KD, HSD + HFD + TP, and HSD + HFD + KD + TP for another five days. Biochemical parameters of oxidative stress were analyzed in the fly homogenates using standard procedures. There were significant increases (P < 0.05) in the concentration of malondialdehyde, total cholesterol, LDL-Cholesterol, Triglycerides, atherogenic index, nitric oxide, total weight gained, and a significant decrease (p < 0.05) in levels of catalase and HDL-Cholesterol in flies treated with HF and HS diets. Further administration of KD and TP to the flies for five days reversed most of the parameters to near control values. The KD diet combination with TP however gave the best ameliorative changes. The dietary model may therefore be effective as adjuvant therapy for the management of metabolic disorders developed and made progressive by oxidative stress and hyperlipidemia.

Dyslipidemia presents high levels of serum cholesterol and is characterized as a risk factor for cardiovascular diseases, especially for the development of atherosclerosis. E. oleracea oil (OFEO), A. esculentus oil (OFAE), B. orellana oil (OFBO), and Chronic SM® granules (CHR) are rich in bioactive compounds with the potential to treat changes in lipid metabolism. This study investigated the effects of treatments with oils from A. esculentus, E. oleracea, B. orellana, and Chronic SM® on Cocos nucifera L. saturated-fat-induced dyslipidemia. The chromatographic profile showed the majority presence of unsaturated fatty acids in the tested oils. The quantification of tocotrienols and geranylgeraniol in OFBO and CHR was obtained. Treatments with OFEO, OFAE, OFBO, and CHR were able to significantly reduce glycemia, as well as hypertriglyceridemia, total cholesterol, and LDL-cholesterol, besides increasing HDL-cholesterol. The treatments inhibited the formation of atheromatous plaques in the vascular endothelium of the treated rats. The obtained results suggest that the OFEO, OFAE, OFBO, and CHR exhibit antidyslipidemic effects and antiatherogenic activity.

The atherogenic index of plasma (AIP) is an important alternative metabolic biomarker of atherosclerosis and cardiovascular diseases. Nevertheless, the correlation between the AIP and carotid atherosclerosis is unknown among the general population.

A total of 52,380 community residents, aged ≥ 40 years who underwentcervical vascular ultrasound from December 2017 to December 2020 in Hunan China, were selected for retrospective analysis. The AIP was calculated as a logarithmically converted ratio of triglycerides (TG) to high-density lipoprotein-cholesterol (HDL-C). The participants were divided into AIP quartile groups (Q1-Q4). Logistic regression models and restricted cubic spline analyses were used to examine the association of the AIP with carotid atherosclerosis. Stratified analyses were applied to control for confounding factors. The incremental predictive value of the AIP was further assessed.

After adjusting for traditional risk factors, an increased AIP was associated with a higher rate of carotid atherosclerosis (CA), increased carotid intima-media thickness (CIMT), and plaques [odds ratio, OR (95% confidence interval, CI): 1.06 (1.04, 1.08), 1.07 (1.05, 1.09), and 1.04 (1.02, 1.06) per 1-SD increase in the AIP, respectively]. Compared with those participants in the quartile 1 group, those in the quartile 4 group had a greater risk of CA [OR 1.18, 95% CI (1.12, 1.25)], increased CIMT [OR 1.20, 95% CI (1.13, 1.26)], and plaques [OR 1.13, 95% CI (1.06, 1.19)]. However, we did not observe an association between the AIP and stenosis [0.97 (0.77, 1.23), p for trend = 0.758]. Restricted cubic spline analyses also showed a cumulative increase in the risk of CA, increased CIMT, and plaques but not stenosis severity (> 50%) with an increase of the AIP. Subgroup analyses showed that a more significant association between the AIP and the prevalence of increased CA was detected in younger subjects (aged < 60 years) with a body mass index (BMI) of ≥ 24 and fewer comorbidities. Additionally, the AIP provided incremental predictive capacity over established risk factors for CA, as shown by an improvement in the net reclassification index (NRI) and integrated discrimination index (IDI) (all P < 0.05).

An elevated AIP in a community-based population is associated with a higher rate of CA. the AIP could serve as a potential biomarker for CA risk assessment.

To study the relationship of serum PCSK9 and disease activity and major adverse cardiovascular events (MACEs) in systemic lupus erythematosus (SLE). Consecutive patients who fulfilled ≥ 4 ACR criteria for SLE and consented for a biomarker study in 2009-2013 were included. Stored serum samples were assayed for PCSK9. PCSK9 levels were correlated with SLE disease activity scores. Patients were divided into two groups according to the median PCSK9 level and new MACEs over time were evaluated. The effect of PCSK9 level on MACEs and mortality was studied by Cox regression, adjusted for confounders. A total of 539 SLE patients were studied (93% women, age 41.9 ± 14.0 years). The median PCSK9 level at baseline was 220 ng/ml. Patients with higher PCSK9 (≥ 220 ng/ml; n = 269) had significantly higher SLE disease activity index (SLEDAI) than those with lower PCSK9 (< 220 ng/ml; n = 270). PCSK9 levels were significantly higher in patients with active renal than active non-renal SLE, which in turn were significantly higher than those with inactive SLE or healthy controls. PCSK9 level correlated with SLEDAI in the overall population (ρ = 0.30; p < 0.001). Over 91.3 ± 18.6 months, 29 patients developed 31 MACEs and 40 patients succumbed (25% for vascular events). The cumulative incidence of MACEs at 5 years was 4.8% in the higher PCSK9 and 1.1% in the lower PCSK9 group (HR2.51[1.11-5.70]; p = 0.03). Cox regression revealed higher PCSK9 was significantly associated with MACEs (HR1.003[1.000-1.005] per ng/ml; p = 0.02) independent of age, sex, renal function, baseline disease activity score, traditional atherosclerotic risk factors, antiphospholipid antibody and the use of aspirin/warfarin, statins and immunosuppressive drugs. PCSK9 level was also independently associated with all-cause (HR1.002[1.000-1.004] per ng/ml; p = 0.03) and vascular mortality (HR1.004[1.000-1.007]; p = 0.04). We concluded that serum PCSK9 level correlates with SLE disease activity. Higher serum PCSK9 levels are associated with increased risk of cardiovascular events and mortality in SLE.

Hypertension (HTN) is common among obese children and adolescents and increases their cardiovascular risk later in adulthood. The aim of the study was to evaluate the prevalence of HTN identified by office blood pressure (BP) measurement and ambulatory BP monitoring (ABPM) in a cohort of obese children and adolescents and its association with anthropometric and glycometabolic indices.

Seventy consecutive obese Caucasian children and adolescents aged 7-16 years were enrolled. Patients underwent ABPM, echocardiogram and carotid ultrasonography. Sex- and age-adjusted logistic multivariable analysis models were used to assess the association between HOMA-IR, HOMA-β, QUICKI with HTN at ABPM. Receiver Operation Curve (ROC) analysis with Youden J statistics was used to identify the optimal HOMA-IR, HOMA-β and QUICKI cut-off to predict HTN at ABPM. Hypertensive office BP was found in 25.7% of obese patients. ABPM diagnosed HTN in 34.9% of patients: 20.6% of obese patients had masked HTN (MHTN), and 12.7% had white coat HTN (WCH). Hypertensive obese patients (according to ABPM) had higher HOMA-IR and HOMA-β, and a lower QUICKI than normotensive subjects. HOMA-IR, HOMA-β and QUICKI predicted HTN at ABPM in obese patients in age- and sex-adjusted logistic multivariable models. Optimal cut-offs to predict HTN at ABPM in obese patients were: HOMA-IR ≥ 3.30, HOMA-β ≥ 226.7 and QUICKI <0.33, with high sensitivity.

A sequential testing strategy applying office BP and glycometabolic indices can identify hypertensive obese pediatric patients with high diagnostic accuracy and potentially reducing costs. This strategy needs validation in an external and larger cohort.

Obesity and particulate air pollutant (PM_2.5) are important risk factors for cardiometabolic diseases. PM_2.5 exacerbates insulin resistance and lipid ectopic deposition in obese animals. The inorganic fraction of PM_2.5, the Residual Oil Fly Ash (ROFA), is related to cardiovascular events, by enhancing the generation of reactive species, inflammatory cytokines, and leukocyte activation. However, the synergistic effects of ROFA and a high-fat diet (HFD) are still poorly described, and the studies were mainly conducted with males.

To investigate if ROFA could potentiate the cardiometabolic effects of diet-induced obesity in female rats.

Wistar female rats were divided into four groups: Control (n = 6), Polluted (n = 6), HFD (n = 6), and HFD + Polluted (n = 6). HFD and HFD + Polluted received a high-fat diet (HFD) (58.3 % as fats), whilst Control and Polluted groups received a standard diet (Nuvilab CR-1). In addition, Polluted and HFD + Polluted groups received intranasal instillation of ROFA (250 μg/50 μL), while Control and HFD groups received saline solution (50 μL) daily, five days per week. Both interventions occurred 24 weeks after the animals were euthanized.

HFD combined with ROFA exposure impaired lipid profile challenged systemic and cardiac antioxidant defense, and presented a synergistic effect in inducing an immune-inflammatory condition. We found that the lipid profile disturbance is associated with HFD-induced hepatic, but not cardiac, deposition of triglycerides in female animals.

Our results support the hypothesis that ROFA exposure combined with bad feeding can exacerbate metabolic and cardiovascular diseases.

Introduction Atherogenic indices, as common factors implicated in the pathogeneses of atherogenic dyslipidemias and cardiometabolic disorders, provide inexpensive and less invasive aids for assessing the prognosis of hospitalized patients. Hence, we evaluate the atherogenic index profiles of patients admitted to a tertiary care hospital and correlate them with comorbidities, statin use, and duration of hospital stay. Methodology This cross-sectional study included 412 hospitalized patients aged >18 years undergoing lipid profiling, irrespective of their diagnosis. Their atherogenic indices were calculated from their lipid profile parameters and correlated with their comorbidities, statin use, and duration of hospital stay. Statistical analysis was done using the Mann-Whitney U test and Spearman's rank correlation coefficient tests, with a p-value of <0.05 indicating statistical significance. Results The participating cohort showed a mean age of 56.01±13.32 years. Nearly 63.0% of these had diabetes mellitus, 52.0% had hypertension, 34.0% had coronary artery disease, 16.0% had a cardiovascular accident, and 16.5% reported statin use. There was no significant difference in the distribution of any of the atherogenic indices over any of the comorbidities like diabetes mellitus, hypertension, coronary artery disease, or statin use, except for the non-high-density lipoprotein cholesterol distribution, which was significantly associated with coronary artery disease (p-value = 0.0112) and statin use (p-value = 0.0057). Atherogenic indices were not correlated with the duration of hospital stay (p-value > 0.05). Discussion This study suggests that non-high-density lipoprotein cholesterol may serve as an indicator of coronary artery disease and statin use. However, other atherogenic indices may not serve as reliable predictors of the duration of a hospital stay.

Sedentary behavior or physical inactivity is considered a foremost contributor to the rise in obesity and overweight and a risk factor for several non-communicable diseases. However, its effect on the etiopathogenesis of some diseases is underestimated in both developed and developing countries worldwide. The present study designed a novel sedentary cage with a view to achieving sedentariness in rats, and also investigated the effectiveness of the cage in achieving sedentariness by assessing some markers of cardiometabolic risks in Wistar rats.

Adult male Wistar rats were divided into 3 groups of six rats. Rats in Group 1 were the control. The sedentary groups were 4-hr. sedentary and 8-hr. sedentary. The sedentary rats were subjected to restrained movements for 4 and 8 hours daily in the sedentary cage for 3 months. Anthropometric indices, food consumption and blood pressure parameters of the rats were measured. Microalbuminuria and serum glucose, uric acid, albumin, nitric oxide, endothelin-1, insulin, inflammatory markers were also Measured.

Results indicated significant increases in body weight, BMI, Lee index, food consumption, systolic and diastolic pressure and decrease in serum nitric oxide bioavailability in the 8-hr sedentary rats. There were also significant increases in serum glucose, uric acid, endothelin-1, insulin, CRP and microalbuminuria in the 8-hr. sedentary rats in comparison with the control. The interleukin-6 and TNF-α also revealed a significant increase in the 8-hr. sedentary rats compared with the control. However, there was no significant difference in cortisol level across all the groups.

We concluded that the novel sedentary cage successfully caused sedentariness in the rats as evident by the alteration in the cardiometabolic health in the rats, especially the group that were made sedentary for 8 h.

Atherogenic index of plasma (AIP), a novel biomarker, is associated with cardiovascular diseases and obesity. The main aim of this study was to investigate the relationship between AIP and obesity among Taiwanese hospital employees. A total of 1312 subjects with an average age of 42.39 years were enrolled in this cross-sectional study. AIP was calculated as log10 (TG/HDL-C). All subjects were divided into three groups according to AIP tertiles. Chi-square test, independent t-test and one-way ANOVA were used to compare the demographic and clinical lab characteristics of the three groups. Multivariate logistic regression analysis was used to assess the relationship between AIP and obesity. The results showed that subjects with obesity or with high AIP levels exhibited significant differences in systolic blood pressure, diastolic blood pressure, waist circumference, alanine aminotransferase, fasting plasma glucose, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, triglycerides and prevalence of diabetes mellitus, hypertension, hyperlipidemia and metabolic syndrome. In addition, age and total cholesterol were increased in the high AIP group. Increased AIP levels were strongly associated with obesity.

The current study was designed to explore the effect of fermented camel milk, plant sterols and their combination on the blood levels of sd-LDL and atherogenicity in rats fed on high-fat-cholesterol diets (HFC). Forty male Wistar rats were distributed into five groups: Normal control (NC), Positive control (PC, HFC), plant sterol (PS, HFC containing 1% (w/w) β-sitosterol:Stigmasterols; 9:1), FM (HFC containing 4% (w/w) lyophilized fermented camel milk), and PSFM (HFC containing 1% (w/w) plant sterols +4% (w/w) lyophilized fermented camel milk). Antioxidant activity showed that β-sitosterol had the highest radical scavenging activity, followed by fermented camel milk and stigmasterol (p < 0.05). Feeding rats on HFC for 8 weeks resulted in a significant (p < 0.05) increase in blood lipids of PC group compared with NC group. Administration of PS, FM, and PSFM resulted in a significant reduction in atherogenic index (50, 24.5, and 41.5 %, p < 0.05), and sd-LDL levels (73, 45, and 59%, p < 0.05), respectively. Only the FM group showed a significant reduction in triglycerides levels of rats. Administration of PS, FM and PSFM decreased serum MDA levels significantly by 58.7, 45.4, and 69% (p < 0.05), and increased total antioxidant capacity by 35.9, 84.8, and 38.3% (p < 0.05), respectively. This is the first report to the best of our knowledge that shows fermented camel milk enriched with plant sterol could reduce atherogenesis and cardiovascular diseases activity via inhibition of the status of small dense LDL and oxidative stress.

Early identification of metabolic-associated fatty liver disease (MAFLD) is urgent. Atherogenic index of plasma (AIP) is a reference predictor of obesity-related diseases, but its predictive value for MAFLD remains unclear. No studies have reported whether its combination with waist circumference (WC) and body mass index (BMI) can improve the predictive performance for MAFLD.

To systematically explore the relationship between AIP and MAFLD and evaluate its predictive value for MAFLD and to pioneer a novel noninvasive predictive model combining AIP, WC, and BMI while validating its predictive performance for MAFLD.

This cross-sectional study consecutively enrolled 864 participants. Multivariate logistic regression analysis and receiver operating characteristic curve were used to evaluate the relationship between AIP and MAFLD and its predictive power for MAFLD. The novel prediction model A-W-B combining AIP, WC, and BMI to predict MAFLD was established, and internal verification was completed by magnetic resonance imaging diagnosis.

Subjects with higher AIP exhibited a significantly increased risk of MAFLD, with an odds ratio of 12.420 (6.008-25.675) for AIP after adjusting for various confounding factors. The area under receiver operating characteristic curve of the A-W-B model was 0.833 (0.807-0.858), which was significantly higher than that of AIP, WC, and BMI (all P < 0.05). Subgroup analysis illustrated that the A-W-B model had significantly higher area under receiver operating characteristic curves in female, young and nonobese subgroups (all P < 0.05). The best cutoff values for the A-W-B model to predict MAFLD in males and females were 0.5932 and 0.4105, respectively. Additionally, in the validation set, the area under receiver operating characteristic curve of the A-W-B model to predict MAFLD was 0.862 (0.791-0.916). The A-W-B level was strongly and positively associated with the liver proton density fat fraction (r = 0.630, P < 0.001) and significantly increased with the severity of MAFLD (P < 0.05).

AIP was strongly and positively associated with the risk of MAFLD and can be a reference predictor for MAFLD. The novel prediction model A-W-B combining AIP, WC, and BMI can significantly improve the predictive ability of MAFLD and provide better services for clinical prediction and screening of MAFLD.

Decreased estrogen levels in menopause are associated with anthropometric, metabolic, and inflammatory impairments, predisposing women to cardiometabolic risk factors such as diabetes. Menopause and type two diabetes (DM2) are marked by altered heat shock response (HSR), shown by decreased expression of the 70-kDa heat shock protein in the intracellular milieu (iHSP70). While iHSP70 plays an anti-inflammatory role, extracellular HSP70 (eHSP70) may mediate pro-inflammatory pathways and has been associated with insulin resistance in DM2. Considering the roles of these proteins according to localization, the eHSP70-to-iHSP70 ratio (H-index) has been proposed as a biomarker for HSR. We, therefore, evaluated whether this biomarker is associated with glycemic and inflammatory status in postmenopausal women. In this transversal study, 36 postmenopausal women were grouped according to fasting glycemia status as either the control group (normoglycemic, ≤ 99 mg/dL) or DM2 (prediabetic and diabetic, glycemia ≥ 100 mg/dL). DM2 group showed higher triglyceride/glucose (TyG) index and plasma atherogenic index (PAI), both of which are indicators of cardiometabolic risk. In addition, we found that the eHSP70-to-iHSP70 ratio (plasma/peripheral blood mononuclear cells-PBMC ratio) was higher in the DM2 group, compared with the control group. Furthermore, blood leukocyte and glycemia levels were positively correlated with the eHSP70-to-iHSP70 ratio in women that presented H-index values above 1.0 (a.u.). Taken together, our results highlight the eHSP70-to-iHSP70 ratio as a biomarker of altered HSR in DM2 postmenopausal women.