Liu Yuanhong, Xu Min, Wang Liqing, Meng Linyun, Li Mengran, Mu Shumin
The First Clinical College of Shandong University of Traditional Chinese Medicine, Jinan City, 250014, Shandong Province, China.
Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan City, 250011, Shandong Province, China.
Lipids Health Dis. 2025 Jan 24;24(1):22. doi: 10.1186/s12944-025-02446-4.
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.
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.
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.
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.
衰老导致适应性下降,以及生理和心理功能及恢复力的衰退。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)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)均已显示与衰老相关;然而,这些因素与表型年龄之间的联系仍未得到充分研究。
本研究的数据来自国家健康与营养检查调查(2015 - 2018年),包括2580名参与者。考虑了复杂的调查设计。为检验体脂面积与PhenoAgeAccel之间的关联,应用了逻辑回归。此外,采用亚组分析来识别群体特征的差异。通过受限立方样条分析确定体脂面积与PhenoAgeAccel之间的剂量反应关系。进一步采用中介和交互分析来研究HOMA-IR和HDL-C在这种关联中的作用。
在非老年成年人中,体脂面积与PhenoAgeAccel之间的关系因实足年龄而异。对于腹部皮下脂肪面积(SFA),在18 - 44岁和45 - 59岁的个体中这种关系是非线性的,阈值分别为2.969平方米和3.394平方米。相比之下,在18 - 44岁的个体中观察到内脏脂肪面积(VFA)与PhenoAgeAccel呈非线性关系,而在45 - 59岁的个体中这种关系是线性的,阈值分别为0.769平方米和1.220平方米。中介效应分析显示,HOMA-IR在18 - 44岁的个体中具有更显著的中介效应,占VFA与PhenoAgeAccel关系的13.4%以及SFA与PhenoAgeAccel关系的6.9%。相反,HDL-C在45 - 59岁的个体中具有更大的中介效应,占VFA与PhenoAgeAccel关系的21.7%以及腹部SFA与PhenoAgeAccel关系的11.6%。HOMA-IR≥2.73或VFA > 0.925平方米,以及HOMA-IR≥2.73或腹部SFA > 3.137平方米,会加速表型年龄,而1.60 < HDL-C≤3.90 mmol/L且腹部SFA≤3.137平方米或VFA≤0.925平方米会减缓表型年龄。
在本研究中,阐明了腹部SFA、VFA和PhenoAgeAccel之间的非线性关系,同时确定了不同年龄组的特征阈值。本研究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在不同年龄队列中的作用。这些发现为未来加速衰老筛查以及对高危人群进行适当干预提供了生物学基础,并为指导个性化临床干预和健康管理策略提供了有价值的见解。