单核细胞与高密度脂蛋白比率(MHR)和其他炎症生物标志物与肌肉减少症的关系:一项基于人群的研究。

IF 3.9 2区 医学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Zhiwei Xue, Jian Cao, Jianhui Mou, Rui Wang, Peng Liu
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引用次数: 0

摘要

目的:在之前的研究中,来自全血细胞计数(CBC)的几种炎症生物标志物,如全身免疫炎症指数(SII)、中性粒细胞与淋巴细胞比值(NLR)和非高密度脂蛋白胆固醇与高密度脂蛋白胆固醇比值(NHHR)已被确定为肌肉减少症的预测因子。然而,单核细胞与高密度脂蛋白胆固醇比值(MHR)是否能预测肌少症的发生尚未得到证实。该研究首先试图调查MHR与低肌肉质量之间的关系,并比较MHR、SII、NLR和NHHR对低肌肉质量风险的预测能力。方法:该研究包括10321名来自美国的20岁及以上的参与者。采用多元logistic回归探讨ln转化MHR、SII、NLR、NHHR与低肌肉质量之间的关系。此外,采用AUC值和ROC曲线评估ln MHR和其他标志物(ln SII、ln NLR、ln NHHR、ln MHR + ln SII、ln MHR + ln NHHR、ln MHR + ln NLR)的预测效果。bootstrap估计的95% Cl与AUC一起显示。结果:在完全调整模型中,ln SII、ln NLR、ln NHHR、ln MHR、ln MHR + ln SII、ln MHR + ln NHHR、ln MHR + ln NLR与低肌肉量呈正相关(ln SII: OR = 1.59 [1.37-1.84];ln NLR: OR = 1.35 [1.13-1.60];ln NHHR: OR = 1.49[1.27-1.75];ln MHR: OR = 1.98 [1.68-2.33];ln MHR + ln SII: OR = 1.61 [1.46-1.79];ln MHR + ln NHHR: OR = 1.42 [1.29-1.56];ln MHR + ln NLR: OR = 1.58[1.41-1.78])。与ln MHR的最低四分位数相比,高四分位数与低肌肉质量的几率增加显著相关(P为趋势)。结论:ln转化的MHR、SII、NLR和NHHR与低肌肉质量呈正相关。MHR在预测肌肉减少症方面优于SII、NLR和NHHR。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Relationship of monocyte to high-density lipoprotein ratio (MHR) and other inflammatory biomarkers with sarcopenia: a population-based study.

Objectives: In previous studies, several inflammatory biomarkers derived from complete blood cell counts (CBC), such as systemic immune inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), and non‑high‑density lipoprotein cholesterol to high‑density lipoprotein cholesterol ratio (NHHR) have been identified as predictors of sarcopenia. However, whether Monocyte to High-Density Lipoprotein Cholesterol Ratio (MHR) can predict the development of sarcopenia has not yet been established. The research first attempts to investigate the association between MHR and low muscle mass and to compare the predictive abilities of MHR, SII, NLR, and NHHR for low muscle mass risk.

Methods: The study comprised 10,321 participants aged 20 years and above from the United States. Multiple logistic regression was performed to explore the association between ln-transformed MHR, SII, NLR, NHHR and low muscle mass. Additionally, AUC values and ROC curves were used to assess the predictive effectiveness of ln MHR and other markers (ln SII, ln NLR, ln NHHR, ln MHR + ln SII, ln MHR + ln NHHR, and ln MHR + ln NLR). The bootstrap estimated 95% Cl was shown with the AUC.

Results: In the fully adjusted model, ln SII, ln NLR, ln NHHR, ln MHR, ln MHR + ln SII, ln MHR + ln NHHR, and ln MHR + ln NLR were positively associated with low muscle mass (ln SII: OR = 1.59 [1.37-1.84]; ln NLR: OR = 1.35 [1.13-1.60]; ln NHHR: OR = 1.49[1.27-1.75]; ln MHR: OR = 1.98 [1.68-2.33]; ln MHR + ln SII: OR = 1.61 [1.46-1.79]; ln MHR + ln NHHR: OR = 1.42 [1.29-1.56]; ln MHR + ln NLR: OR = 1.58 [1.41-1.78]). Compared to the lowest quartile of ln MHR, higher quartiles were significantly associated with increased odds of low muscle mass (P for trend < 0.0001). In ROC analysis, ln MHR + ln SII had a higher AUC value than other indicators (AUC = 0.608).

Conclusion: Ln-transformed MHR, SII, NLR, and NHHR were positively associated with low muscle mass. MHR outperforms SII, NLR, and NHHR in predicting sarcopenia.

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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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