Genetic susceptibility, dietary cholesterol intake, and plasma cholesterol levels in a Chinese population

Huo, Shaofeng; Sun, Liang; Zong, Geng; Song, Boyu; He, Zheng; Jin, Qianlu; Lin, Xu

doi:10.1194/jlr.ra120001009

Cited by 4 publications

(3 citation statements)

References 42 publications

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“…Enzymes like ALT and AST are subject to regulation by stress within the body. These indicators typically remain relatively stable in normal conditions, and abnormal states are characterized by rapid and variable changes, often several times higher than normal levels, [ 19 ] making it difficult to discern a clear correlation trend. Additionally, the correlation between BMI and age is not distinctly evident, as it is influenced by factors such as height, weight, lifestyle, and dietary habits.…”

Section: Discussionmentioning

confidence: 99%

Objective assessment of the association between telomere length, a biomarker of aging, and health screening indicators: A cross-sectional study

Fu,

Lou,

Chen

et al. 2024

Medicine

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Physical examination data are used to indicate individual health status and organ health, and understanding which physical examination data are indicative of physiological aging is critical for health management and early intervention. There is a lack of research on physical examination data and telomere length. Therefore, the present study analyzed the association between blood telomere length and physical examination indices in healthy people of different ages to investigate the role and association of various organs/systems with physiological aging in the human body. The present study was a cross-sectional study. Sixteen physical examination indicators of different tissue and organ health status were selected and analyzed for trends in relation to actual age and telomere length (TL). The study included 632 individuals with a total of 11,766 data for 16 physical examination indicators. Age was linearly correlated with 11 indicators. Interestingly, telomere length was strongly correlated only with the renal indicators eGFR (P < .001), CYS-C (P < .001), and SCR (P < .001). The study established that renal aging or injury is a risk factor for Physical aging of the human body. Early identification and management are essential to healthcare.

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Section: Discussionmentioning

confidence: 99%

Objective assessment of the association between telomere length, a biomarker of aging, and health screening indicators: A cross-sectional study

Fu,

Lou,

Chen

et al. 2024

Medicine

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“…[15][16][17][18][19] It provides an opportunity to construct a polygenic risk score (PRS), a quantitative measure of inherited susceptibility by integrating all available lipid-associated genetic loci. The PRS is highly associated with blood lipid levels [20][21][22] and is recommended as a potentially useful tool for risk assessment. 23,24 Here, we first generated PRSs for 4 lipid levels by incorporating the lipid-related genetic loci from large-scale genome-wide association studies.…”

Section: Introductionmentioning

confidence: 99%

“… 15 , 16 , 17 , 18 , 19 It provides an opportunity to construct a polygenic risk score (PRS), a quantitative measure of inherited susceptibility by integrating all available lipid-associated genetic loci. The PRS is highly associated with blood lipid levels 20 , 21 , 22 and is recommended as a potentially useful tool for risk assessment. 23 , 24 …”

Section: Introductionmentioning

confidence: 99%

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

Liu

et al. 2023

JAMA Netw Open

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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 &lt;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 &lt;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 &lt;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.

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Nonlinear associations between environmental factors and lipid levels in middle-aged and elderly population in China: A national cross-sectional study

Pei

et al. 2022

Science of The Total Environment

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Genetic susceptibility, dietary cholesterol intake, and plasma cholesterol levels in a Chinese population

Cited by 4 publications

References 42 publications

Objective assessment of the association between telomere length, a biomarker of aging, and health screening indicators: A cross-sectional study

Objective assessment of the association between telomere length, a biomarker of aging, and health screening indicators: A cross-sectional study

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

Nonlinear associations between environmental factors and lipid levels in middle-aged and elderly population in China: A national cross-sectional study

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