Guo Junwei, Mutailipu Kelibinuer, Wen Xin, Yin Jiajing, You Hui, Qu Shen, Chen Haibing, Bu Le
Institute of Obesity, Institute of Thyroid Diseases, Shanghai Center of Thyroid Diseases, Department of Endocrinology and Metabolism, Division of Metabolic Surgery for Obesity and Diabetes, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, No. 301 Middle Yanchang Road, Shanghai, 200072, China.
Lipids Health Dis. 2025 Jan 10;24(1):9. doi: 10.1186/s12944-024-02411-7.
Insulin resistance (IR) and metabolic syndrome (MetS) are significant global health challenges that increase the risk of various chronic diseases. The lymphocyte-to-high-density lipoprotein cholesterol ratio (LHR) has emerged as a novel inflammatory metabolic marker. The present study focused on evaluating the association between the LHR and both IR and MetS.
We analyzed data from 14,779 adults aged ≥ 20 years from the National Health and Nutrition Examination Survey (2007-2018). To investigate the relationship between LHR and both IR and MetS, we conducted multivariable logistic regression analyses. The reliability of the results was validated through both stratified and sensitivity analyses. Furthermore, we thoroughly examined possible nonlinear associations by implementing a restricted cubic spline in conjunction with a threshold effect analysis.
Compared to the lowest LHR quartile, individuals in the highest quartile indicated significantly increased prevalence of IR (odds ratio = 3.72, 95% confidence intervals: 3.01-4.59) and MetS (odds ratio = 11.38, 95% confidence intervals: 8.85-14.63) in fully adjusted models. Subgroup analyses demonstrated that the association between the LHR and IR remained consistent across all subgroups, with no significant interaction effect observed. However, the association between LHR and MetS was more pronounced in female participants. Restricted cubic spline analyses revealed nonlinear associations between LHR and both IR and MetS. The threshold effect analyses identified inflection points at 0.055 for these non-linear relationships.
An elevated LHR was positively associated with the prevalence of IR and MetS, indicating its promising role in early screening and disease prevention through biological monitoring.
胰岛素抵抗（IR）和代谢综合征（MetS）是重大的全球健康挑战，会增加各种慢性病的风险。淋巴细胞与高密度脂蛋白胆固醇比值（LHR）已成为一种新型的炎症代谢标志物。本研究重点评估LHR与IR和MetS之间的关联。
我们分析了来自国家健康与营养检查调查（2007 - 2018年）的14779名年龄≥20岁成年人的数据。为了研究LHR与IR和MetS之间的关系，我们进行了多变量逻辑回归分析。通过分层分析和敏感性分析验证了结果的可靠性。此外，我们通过结合阈值效应分析实施受限立方样条来全面检查可能的非线性关联。
在完全调整模型中，与最低LHR四分位数组相比，最高四分位数组的个体IR患病率（优势比 = 3.72，95%置信区间：3.01 - 4.59）和MetS患病率（优势比 = 11.38，95%置信区间：8.85 - 14.63）显著增加。亚组分析表明，LHR与IR之间的关联在所有亚组中均保持一致，未观察到显著的交互作用。然而，LHR与MetS之间的关联在女性参与者中更为明显。受限立方样条分析揭示了LHR与IR和MetS之间的非线性关联。阈值效应分析确定了这些非线性关系的拐点为0.055。
LHR升高与IR和MetS的患病率呈正相关，表明其在通过生物监测进行早期筛查和疾病预防中具有潜在作用。
