由HOMA-IR和HDL-C介导的非老年人内脏和皮下脂肪区域与表型年龄的关系

IF 6.9 2区 医学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY Lipids in Health and Disease Pub Date : 2025-01-24 DOI:10.1186/s12944-025-02446-4
Yuanhong Liu, Min Xu, Liqing Wang, Linyun Meng, Mengran Li, Shumin Mu
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引用次数: 0

摘要

背景:衰老导致适应能力下降,生理和心理功能以及恢复能力下降。表观遗传时钟“表型年龄”(PhenoAge)代表“临床前衰老”。表型年龄加速(PhenoAgeAccel)被定义为基于实足年龄预测表型年龄的线性回归模型的残差。腹部皮下脂肪组织、内脏脂肪组织、胰岛素抵抗稳态模型评估(HOMA-IR)和高密度脂蛋白胆固醇(HDL-C)都被证明与衰老有关;然而,这些因素与表型之间的联系仍未得到充分的研究。方法:本研究的数据来源于全国健康与营养检查调查(2015-2018),共有2580名参与者。考虑了复杂的调查设计。为了检验体脂面积与PhenoAgeAccel之间的关系,应用逻辑回归。此外,亚组分析用于确定种群特征的变化。通过限制三次样条分析确定体脂面积与PhenoAgeAccel之间的剂量-反应关系。进一步采用中介和相互作用分析来研究HOMA-IR和HDL-C在这种关联中的作用。结果:在非老年成人中,体脂面积与PhenoAgeAccel之间的关系不同于实足年龄。腹部皮下脂肪面积(SFA)在18-44岁和45-59岁人群中呈非线性关系,阈值分别为2.969 m²和3.394 m²。相比之下,在18-44岁的个体中,内脏脂肪面积(VFA)与PhenoAgeAccel呈非线性关系,而在45-59岁的个体中,这种关系呈线性关系,阈值分别为0.769 m²和1.220 m²。中介效应分析显示,HOMA-IR在18-44岁个体中具有更为显著的中介作用,占VFA与PhenoAgeAccel关系的13.4%,占SFA与PhenoAgeAccel关系的6.9%。相反,HDL-C在45-59岁个体中具有更大的中介作用,占VFA和PhenoAgeAccel之间关系的21.7%,占腹部SFA和PhenoAgeAccel之间关系的11.6%。HOMA-IR≥2.73或VFA > 0.925 m²,以及HOMA-IR≥2.73或腹部SFA > 3.137 m²,加速了表型年龄,而1.60结论:本研究阐明了腹部SFA、VFA和表型年龄之间的非线性关系,并确定了不同年龄组的特征阈值。本研究的结果强调了脂肪分布对衰老过程的复杂影响,并细化了HOMA-IR和HDL-C在不同年龄组中的作用。这些发现为未来的加速老龄化筛查和高危人群的适当干预提供了生物学基础,并为指导个性化的临床干预和健康管理策略提供了有价值的见解。
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The association of visceral and subcutaneous fat areas with phenotypic age in non-elderly adults, mediated by HOMA-IR and HDL-C.

Background: Ageing results in diminished adaptability, as well as declines in physiological and psychological functions and resilience. The epigenetic clock 'Phenotypic Age' (PhenoAge) represents 'preclinical ageing'. Phenotypic Age Acceleration (PhenoAgeAccel) is defined as the residual from a linear regression model predicting PhenoAge on the basis of chronological age. Abdominal subcutaneous adipose tissue, visceral adipose tissue, the Homeostasis Model Assessment of Insulin Resistance (HOMA-IR), and high-density lipoprotein cholesterol (HDL-C) have all been shown to correlate with ageing; however, the connections between these factors and PhenoAge are still insufficiently investigated.

Methods: Data for this study were sourced from the National Health and Nutrition Examination Survey (2015-2018), comprising 2580 participants. Complex survey designs were considered. To examine the association between body fat area and PhenoAgeAccel, logistic regression was applied. Additionally, subgroup analysis was used to identify variations in population characteristics. The dose‒response relationship between body fat area and PhenoAgeAccel was determined via restricted cubic spline analysis. Mediation and interaction analyses were further employed to investigate the roles of the HOMA-IR and HDL-C in this association.

Results: In nonelderly adults, the relationships between body fat area and PhenoAgeAccel differed chronological age. For abdominal subcutaneous fat area (SFA), this relationship was nonlinear in individuals aged 18-44 years and 45-59 years, with thresholds of 2.969 m² and 3.394 m², respectively. In contrast, a nonlinear relationship of visceral fat area (VFA) with PhenoAgeAccel was observed in individuals aged 18-44 years, while this relationship was linear in individuals aged 45-59 years, with thresholds of 0.769 m² and 1.220 m², respectively. Mediation effect analysis revealed that the HOMA-IR had a more pronounced mediation effect in individuals aged 18-44 years, accounting for 13.4% of the relationship between VFA and PhenoAgeAccel and 6.9% of the relationship between SFA and PhenoAgeAccel. Conversely, HDL-C had a greater mediating effect in individuals aged 45-59 years, accounting for 21.7% of the relationship between VFA and PhenoAgeAccel and 11.6% of the relationship between abdominal SFA and PhenoAgeAccel. HOMA-IR ≥ 2.73 or VFA > 0.925 m², as well as HOMA-IR ≥ 2.73 or abdominal SFA > 3.137 m², accelerated PhenoAge, whereas 1.60 < HDL-C ≤ 3.90 mmol/L combined with abdominal SFA ≤ 3.137 m² or VFA ≤ 0.925 m² decelerated PhenoAge.

Conclusion: In this study, the nonlinear relationships among abdominal SFA, VFA, and PhenoAgeAccel were elucidated, while characteristic thresholds across different age groups were identified. The results of this study emphasize the complex influence of fat distribution on the ageing process and refine the roles of HOMA-IR and HDL-C in various age cohorts. These findings provide a biological basis for future screening for accelerated ageing and appropriate intervention in high-risk populations and offer valuable insights for guiding personalized clinical interventions and health management strategies.

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来源期刊
Lipids in Health and Disease
Lipids in Health and Disease 生物-生化与分子生物学
CiteScore
7.70
自引率
2.20%
发文量
122
审稿时长
3-8 weeks
期刊介绍: Lipids in Health and Disease is an open access, peer-reviewed, journal that publishes articles on all aspects of lipids: their biochemistry, pharmacology, toxicology, role in health and disease, and the synthesis of new lipid compounds. Lipids in Health and Disease is aimed at all scientists, health professionals and physicians interested in the area of lipids. Lipids are defined here in their broadest sense, to include: cholesterol, essential fatty acids, saturated fatty acids, phospholipids, inositol lipids, second messenger lipids, enzymes and synthetic machinery that is involved in the metabolism of various lipids in the cells and tissues, and also various aspects of lipid transport, etc. In addition, the journal also publishes research that investigates and defines the role of lipids in various physiological processes, pathology and disease. In particular, the journal aims to bridge the gap between the bench and the clinic by publishing articles that are particularly relevant to human diseases and the role of lipids in the management of various diseases.
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