Genetic polymorphisms and their correlation with dyslipidemia in Chinese patients diagnosed with diabetes mellitus

doi:10.12998/wjcc.v12.i20.4256

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World Journal of Clinical Cases

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2307-8960

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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World J Clin Cases. Jul 16, 2024; 12(20): 4256-4264
Published online Jul 16, 2024. doi: 10.12998/wjcc.v12.i20.4256

Genetic polymorphisms and their correlation with dyslipidemia in Chinese patients diagnosed with diabetes mellitus

Qian-Wen Ma, Hui-Hui Wu, Yi-Meng Liu, Pu Zhao, Xiao-Yu Li, Jie Wen

Qian-Wen Ma, Hui-Hui Wu, Yi-Meng Liu, Pu Zhao, Xiao-Yu Li, Department of Endocrinology and Metabolism, Jing'an District Center Hospital of Shanghai, Fudan University, Shanghai 200040, China

Jie Wen, Department of Endocrinology and Metabolism, Huashan Hospital of Fudan University, Shanghai 200040, China

Co-first authors: Qian-Wen Ma and Hui-Hui Wu.

Author contributions: Ma QW and Wu HH proposed the concept of this study and jointly wrote the first draft; Liu YM validated this study; Li XY contributed to data collection; Wu HH contributed to formal analysis; Ma QW and Wen J participated in the survey; Ma QW and Wen J contributed to the methods; Zhao P contributed to the visualization of this study; all authors collectively guided the research, reviewed, and edited the manuscript; Ma QW and Wu HH, as the first authors, made equal contributions to this work. After discussion among all authors, it has been decided to designate Ma QW and Wu HH as the first authors for three main reasons. Firstly, this study was conducted as a collaborative effort, and it is reasonable to designate a joint first author. The author accurately reflects the distribution of responsibilities and burdens related to the time and effort required to complete the research and final manuscript. Designating two co first authors will ensure effective communication and management of post submission matters, thereby improving the quality and reliability of the paper. Secondly, the co-first authors of the research team possess diverse professional knowledge and skills from different fields, and their appointments best reflect this diversity. It also promotes the most comprehensive and in-depth exploration of research topics, ultimately enriching readers' understanding by providing various expert perspectives. Thirdly, Ma QW and Wu HH made substantial and equal contributions throughout the entire research process. Choosing these researchers as co first authors, acknowledging and respecting their equal contributions, demonstrates the spirit of collaboration and teamwork in this study. We believe that designating Ma QW and Wu HH as co first authors is suitable for our manuscript, as it accurately reflects the collaborative spirit, equal contribution, and diversity of our team.

Supported by National Nature Science foundation of China, No. 81900755; and the Health Commission of Shanghai Municipality, No. 20194Yo384.

Institutional review board statement: This study has been reviewed and approved by the Ethics Committee of Jing'an District Central Hospital affiliated with Fudan University in Shanghai.

Informed consent statement: This study has obtained the consent of patients and guardians, and an informed consent form has been signed.

Conflict-of-interest statement: Dr. Wen has nothing to disclose.

Data sharing statement: No data available.

STROBE statement: The authors have read the STROBE Statement—checklist of items, and the manuscript was prepared and revised according to the STROBE Statement—checklist of items.

Corresponding author: Jie Wen, MD, Chief Physician, Department of Endocrinology and Metabolism, Huashan Hospital of Fudan University, No. 12 Urumqi Middle Road, Shanghai 200433, China. wenjie065@126.com

Received: April 24, 2024
Revised: May 14, 2024
Accepted: May 15, 2024
Published online: July 16, 2024
Processing time: 67 Days and 19.6 Hours

Abstract

BACKGROUND

Dyslipidemia is a common complication in patients with diabetes mellitus (DM) that increases the risk of cardiovascular disease. Genetic polymorphisms have been implicated in the development of dyslipidemia.

AIM

To investigate the association between polymorphisms of candidate genes involved in lipid metabolism and dyslipidemia in Chinese patients with DM.

METHODS

A cross-sectional study was conducted on 1098 Chinese patients with DM recruited from multiple healthcare centers. Demographic and clinical data were collected, and dyslipidemia was defined according to the National Cholesterol Education Program Adult Treatment Panel III guidelines. Genomic DNA was extracted from blood samples and genotyping for selected polymorphisms of candidate genes (APOE, LPL, CETP, and others) was performed using PCR and DNA sequencing techniques. Statistical analyses were performed using logistic regression models adjusted for potential confounding factors.

RESULTS

The study population consisted of 578 males (52.6%) and 520 females (47.4%), with a mean age of 58.4 ± 12.2 years. The prevalence of dyslipidemia was 64.8%. Significant associations were found between dyslipidemia and the APOE rs7412 T/T, APOE rs429358 C/C, LPL rs328 G/G, and CETP rs708272 G/G genotypes after adjusting for covariates. Subgroup analyses showed generally consistent associations across subgroups, although some variations in effect sizes were observed.

CONCLUSION

This study identified significant associations between genetic polymorphisms of APOE, LPL, and CETP genes and dyslipidemia in Chinese patients with DM.

Keywords: Dyslipidemia; Diabetes mellitus; Genetic polymorphisms; Chinese population; Lipid metabolism; Subgroup analyses

Core Tip: Genetic polymorphisms of APOE, LPL, and CETP genes are significantly associated with dyslipidemia in Chinese patients with diabetes mellitus (DM). Understanding these associations can provide valuable insights into personalized management strategies for dyslipidemia in this population, emphasizing the importance of genetic factors in lipid metabolism and cardiovascular risk assessment. Subgroup analyses further support the robustness of these associations across different patient groups, highlighting the potential for targeted interventions based on genetic profiles in the management of dyslipidemia in Chinese individuals with DM.