血小板与高密度脂蛋白胆固醇比值（PHR）与代谢综合征及代谢性超重/肥胖表型的关联：一项基于Dryad数据库的研究
Association of the platelet-to-high-density lipoprotein cholesterol ratio (PHR) with metabolic syndrome and metabolic overweight/obesity phenotypes: A study based on the Dryad database.
作者信息
Wu Chuncheng, Hu Ziyi, Zhang Ping
机构信息
The Second Department of Digestion, Affiliated Hospital of Jiangxi University of Chinese Medicine, Nanchang, Jiangxi, China.
Classical Department of Traditional Chinese Medicine, Affiliated Hospital of Jiangxi University of Chinese Medicine, Nanchang, Jiangxi, China.
出版信息
PLoS One. 2025 May 6;20(5):e0321625. doi: 10.1371/journal.pone.0321625. eCollection 2025.
BACKGROUND
Overweight/obesity and metabolic syndrome (MetS) are major global public health challenges. The platelet-to-high-density lipoprotein cholesterol ratio (PHR) has emerged as a potential biomarker reflecting both inflammatory status and lipid metabolism; however, its association with MetS and metabolic overweight/obesity phenotypes is not well understood. The present study aims to investigate the association of the PHR with MetS and metabolic overweight/obesity phenotypes.
METHODS
We derived data from the Dryad data repository. This retrospective study included 1,592 physical examination participants in Wuhan Union Hospital from 2020 to 2021. Based on BMI categories and metabolic status, we defined and distinguished four metabolic overweight/obesity phenotypes: metabolically healthy with normal weight (MHNW), metabolically unhealthy with normal weight (MUNW), metabolically healthy with overweight/obesity (MHO), and metabolically unhealthy with overweight/obesity (MUO). PHR was calculated as the ratio of platelets to HDL cholesterol. Logistic regression analysis was used to test the independent association between PHR with MetS and metabolic overweight/obesity phenotypes. In addition, we performed smooth curve fitting and subgroup analyses.
RESULTS
Logistic regression analysis, after adjusting for covariates, indicated that each 10-unit increase in PHR was associated with elevated risks of MetS (OR = 1.29, 95% CI: 1.24-1.35). There was a significant positive association between PHR and the occurrence of both MHO (OR = 1.15, 95% CI: 1.11-1.19) and MUO (OR = 1.16, 95% CI: 1.12-1.20), while the association with MUNW remained unclear (P = 0.73). In addition, we found a nonlinear relationship between PHR and the incidence of MetS, MHO, and MUO.
CONCLUSION
PHR demonstrates strong associations with MetS, MHO, and MUO, indicating its potential utility as an early biomarker for metabolic dysfunction.
背景
超重/肥胖和代谢综合征（MetS）是全球主要的公共卫生挑战。血小板与高密度脂蛋白胆固醇比值（PHR）已成为反映炎症状态和脂质代谢的潜在生物标志物；然而，其与代谢综合征及代谢性超重/肥胖表型之间的关联尚不清楚。本研究旨在探讨PHR与代谢综合征及代谢性超重/肥胖表型之间的关联。
方法
我们从Dryad数据存储库中获取数据。这项回顾性研究纳入了2020年至2021年在武汉协和医院进行体检的1592名参与者。根据体重指数（BMI）类别和代谢状态，我们定义并区分了四种代谢性超重/肥胖表型：体重正常的代谢健康者（MHNW）、体重正常的代谢不健康者（MUNW）、超重/肥胖的代谢健康者（MHO）和超重/肥胖的代谢不健康者（MUO）。PHR计算为血小板与高密度脂蛋白胆固醇的比值。采用逻辑回归分析来检验PHR与代谢综合征及代谢性超重/肥胖表型之间的独立关联。此外，我们进行了平滑曲线拟合和亚组分析。
结果
在调整协变量后进行的逻辑回归分析表明，PHR每增加10个单位，代谢综合征风险升高（比值比[OR]=1.29，95%置信区间[CI]：1.24-1.35）。PHR与MHO（OR=1.15，95%CI：1.11-1.19）和MUO（OR=1.16，95%CI：1.12-1.20）的发生均呈显著正相关，而与MUNW的关联仍不明确（P=0.73）。此外，我们发现PHR与代谢综合征、MHO和MUO的发病率之间存在非线性关系。
结论
PHR与代谢综合征、MHO和MUO密切相关，表明其作为代谢功能障碍早期生物标志物的潜在效用。
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