Age and Genetic Risk Score and Rates of Blood Lipid Changes in China

Author:

Li Jianxin12,Liu Mengyao12,Liu Fangchao1,Chen Shufeng1,Huang Keyong1,Cao Jie1,Shen Chong3,Liu Xiaoqing4,Yu Ling5,Zhao Yingxin6,Zhang Huan7,Gu Shujun8,Zhao Liancheng1,Li Ying1,Hu Dongsheng910,Huang Jianfeng1,Gu Dongfeng1211,Lu Xiangfeng1212

Affiliation:

1. Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China

2. Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing, China

3. Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China

4. Division of Epidemiology, Guangdong Provincial People’s Hospital and Cardiovascular Institute, Guangzhou, China

5. Department of Cardiology, Fujian Provincial Hospital, Fuzhou, China

6. Cardio-Cerebrovascular Control and Research Center, Institute of Basic Medicine, Shandong Academy of Medical Sciences, Jinan, China

7. Department of Epidemiology, School of public health, Medical College of Soochow University, Suzhou, China

8. Department of Chronic Disease Control and Prevention, Changshu Center for Disease Control and Prevention, Changshu, China

9. Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, China

10. Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, China

11. School of Medicine, Southern University of Science and Technology, Shenzhen, China

12. National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China

Abstract

ImportanceBlood lipids are the primary cause of atherosclerosis. However, little is known about relationships between rates of blood lipid changes and age and genetic risk.ObjectiveTo evaluate associations of blood lipid change rates with age and polygenic risk.Design, Setting, and ParticipantsThis cohort is from the Prediction for Atherosclerotic Cardiovascular Disease Risk in China, which was established from 1998 to 2008. Participants were followed up until 2020 (mean [SD] follow-up, 13.8 [4.3] years) and received 4 repeated lipid measurements. Data analysis was performed from June to August 2022. A total of 47 691 participants with available genotype data were recruited, and 37 317 participants aged 18 years or older were included in the final analysis after excluding participants who were lost to follow-up or with major chronic diseases, and those without blood lipid measurements at baseline and any follow-up survey.ExposuresAge and polygenic risk scores based on 126 lipid-related genetic variants.Main Outcomes and MeasuresThe estimated annual changes (EAC) of blood lipids in milligrams per deciliter.ResultsThis study evaluated 37 317 participants (mean [SD] age of 51.37 [10.82] years; 15 664 [41.98%] were male). The associations of EACs of blood lipids with age differed substantially between male and female participants. Male participants experienced declining change as they got older for total cholesterol (EAC, 0.34 [95% CI, 0.14 to 0.54] mg/dL for age <40 years vs 0.01 [95% CI, −0.11 to 0.13] mg/dL for age ≥60 years), triglyceride (EAC, 3.28 [95% CI, 2.50 to 4.07] mg/dL for age <40 years vs −1.70 [95% CI, −2.02 to −1.38] mg/dL for age ≥60 years), and low-density lipoprotein cholesterol (LDL-C) (EAC, 0.15 [95% CI, −0.02 to 0.32] mg/dL for age <40 years vs 0.01 [95% CI, −0.10 to 0.11] mg/dL for age ≥60 years). Female participants had inverse V-shaped associations and the greatest rate of change appeared in the age group of 40 to 49 years (EAC for total cholesterol, 1.33 [95% CI, 1.22 to 1.44] mg/dL; EAC for triglyceride, 2.28 [95% CI, 1.94 to 2.62] mg/dL; and EAC for LDL-C, 0.94 [95% CI, 0.84 to 1.03] mg/dL). Change in levels of blood lipids were also associated with polygenic risk. Participants at low polygenic risk tended to shift toward lower blood lipid levels, with EACs of −0.16 (95% CI, −0.25 to −0.07) mg/dL; −1.58 (95% CI, −1.78 to −1.37) mg/dL; and −0.13 (95% CI, −0.21 to −0.06) mg/dL for total cholesterol, triglyceride, and LDL-C, respectively. Participants with high polygenic risk had the greatest rates of change for total cholesterol, triglyceride, and LDL-C (EAC, 1.12 [95% CI, 1.03 to 1.21] mg/dL; EAC, 3.57 [95% CI, 3.24 to 3.91] mg/dL; and EAC, 0.73 [95% CI, 0.65 to 0.81] mg/dL, respectively). Similar patterns were also observed across sex and age groups.Conclusions and RelevanceIn this cohort study, EACs of blood lipids were significantly associated with age and polygenic risk, suggesting that prevention strategies for lipids should focus on individuals with high genetic risk and in the critical age window.

Publisher

American Medical Association (AMA)

Subject

General Medicine

Reference42 articles.

1. 2018 AHA/ACC/AACVPR/AAPA/ABC/ACPM/ADA/AGS/APhA/ASPC/NLA/PCNA guideline on the management of blood cholesterol: a report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines.;Grundy;Circulation,2019

2. Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980-2017: a systematic analysis for the Global Burden of Disease Study 2017.;GBD 2017 Causes of Death Collaborators;Lancet,2018

3. Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017.;GBD 2017 Risk Factor Collaborators;Lancet,2018

4. Triglycerides and cardiovascular disease.;Nordestgaard;Lancet,2014

5. 2019 ESC/EAS Guidelines for the management of dyslipidaemias: lipid modification to reduce cardiovascular risk.;Mach;Eur Heart J,2020

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