Dyslipidemia and aging: the non-linear association between atherogenic index of plasma (AIP) and aging acceleration DOI Creative Commons

Qiankun Yang,

Xiaoyu Zhu, Li Zhang

et al.

Cardiovascular Diabetology, Journal Year: 2025, Volume and Issue: 24(1)

Published: April 25, 2025

Dyslipidemia has been proved to play a pivotal role in biological aging. Atherogenic Index of Plasma (AIP), derived from serum triglyceride (TG) and high-density lipoprotein cholesterol (HDL-C), is an effective biomarker dyslipidemia. However, whether AIP can be used as indicator aging remains unclear. This study aims investigate the relationship between US adult population. 4,471 American adults with age over 20 years National Health Nutrition Examination Survey (NHANES) database were included this study. Biological was assessed by phenotypic acceleration (PhenoAgeAccel). Multivariable linear regression models, subgroup analyses interaction tests employed explore association PhenoAgeAccel. Furthermore, adjusted restricted cubic spline (RCS) assess potential nonlinear relationships, while mediation analysis utilized identify mediating effects homeostatic model assessment insulin resistance (HOMA-IR). Besides, network pharmacology performed determine mechanisms underlying dyslipidemia-related acceleration. A total participants study, median chronological age, PhenoAge PhenoAgeAccel for overall population 49 (35-64) years, 42.85 (27.30-59.68) - 6.92 (- 10.52 -2.46) respectively. In fully model, one unit increase correlated 1.820-year (β = 1.820, 95% CI: 1.085-2.556), which more pronounced among individuals being female, diabetic hypertensive. RCS revealed PhenoAgeAccel, inflection point identified at -0.043 via threshold saturation effect analysis. demonstrated positive correlation both before 6.550, 5.070-8.030) after 3.898, 2.474-5.322) point. Additionally, HOMA-IR found mediate 39.21% Finally, INS, APOE, APOB, IL6, IL10, PPARG, MTOR, ACE, PPARGC1A, SERPINE1 core targets aging, functionally linked key signaling pathways like AMPK, apelin, JAK-STAT, FoxO, etc. CONCLUSIONS: An elevated notably positively accelerated suggesting that may serve predictor evaluate

Language: Английский

Dyslipidemia and aging: the non-linear association between atherogenic index of plasma (AIP) and aging acceleration DOI Creative Commons

Qiankun Yang,

Xiaoyu Zhu, Li Zhang

et al.

Cardiovascular Diabetology, Journal Year: 2025, Volume and Issue: 24(1)

Published: April 25, 2025

Dyslipidemia has been proved to play a pivotal role in biological aging. Atherogenic Index of Plasma (AIP), derived from serum triglyceride (TG) and high-density lipoprotein cholesterol (HDL-C), is an effective biomarker dyslipidemia. However, whether AIP can be used as indicator aging remains unclear. This study aims investigate the relationship between US adult population. 4,471 American adults with age over 20 years National Health Nutrition Examination Survey (NHANES) database were included this study. Biological was assessed by phenotypic acceleration (PhenoAgeAccel). Multivariable linear regression models, subgroup analyses interaction tests employed explore association PhenoAgeAccel. Furthermore, adjusted restricted cubic spline (RCS) assess potential nonlinear relationships, while mediation analysis utilized identify mediating effects homeostatic model assessment insulin resistance (HOMA-IR). Besides, network pharmacology performed determine mechanisms underlying dyslipidemia-related acceleration. A total participants study, median chronological age, PhenoAge PhenoAgeAccel for overall population 49 (35-64) years, 42.85 (27.30-59.68) - 6.92 (- 10.52 -2.46) respectively. In fully model, one unit increase correlated 1.820-year (β = 1.820, 95% CI: 1.085-2.556), which more pronounced among individuals being female, diabetic hypertensive. RCS revealed PhenoAgeAccel, inflection point identified at -0.043 via threshold saturation effect analysis. demonstrated positive correlation both before 6.550, 5.070-8.030) after 3.898, 2.474-5.322) point. Additionally, HOMA-IR found mediate 39.21% Finally, INS, APOE, APOB, IL6, IL10, PPARG, MTOR, ACE, PPARGC1A, SERPINE1 core targets aging, functionally linked key signaling pathways like AMPK, apelin, JAK-STAT, FoxO, etc. CONCLUSIONS: An elevated notably positively accelerated suggesting that may serve predictor evaluate

Language: Английский

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