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经典人体测量学、生物电阻抗分析和磁共振成像的身体成分标志物与普通人群中的炎症标志物相关。

Body composition markers from classic anthropometry, bioelectrical impedance analysis, and magnetic resonance imaging are associated with inflammatory markers in the general population.

机构信息

Institute for Community Medicine - Department Clinical-Epidemiological Research, University Medicine Greifswald, Greifswald, Germany.

Institute for Community Medicine - Department Clinical-Epidemiological Research, University Medicine Greifswald, Greifswald, Germany; Department of Zoology, University of Malakand, 18800, Pakistan.

出版信息

Nutr Metab Cardiovasc Dis. 2023 Oct;33(10):1899-1906. doi: 10.1016/j.numecd.2023.05.026. Epub 2023 Jun 14.

Abstract

BACKGROUND AND AIM

The associations of body composition markers derived from different modalities with inflammatory markers are unclear. The aim of this study was to determine associations of the body composition markers from different modalities with inflammatory markers in a population-based study.

METHODS AND RESULTS

We analyzed data from 4048 participants (2081 women, 51.4%) aged 20-84 years. Linear regression models adjusted for confounding were used to analyze the association of classic anthropometry markers, absolute and relative fat mass, absolute fat-free mass (FFM), and body cell mass (BCM) assessed by bioelectrical impedance analysis, subcutaneous, visceral, and liver fat from magnetic resonance imaging (MRI), with markers of inflammation. We found positive associations of classic anthropometry markers, total body fat, subcutaneous, visceral, and liver fat, with all inflammatory markers. Waist circumference (WC) showed the strongest association with high-sensitivity C-reactive protein (hsCRP) (β: 1.39; 95% confidence interval [CI]: 1.22 to 1.56) and white blood cell (WBC) (0.39; 0.29 to 0.48), whereas visceral fat showed the strongest association with ferritin (41.9; 34.7 to 49.0). Relative body fat was strongly associated with hsCRP (1.39; 1.20 to 1.58), fibrinogen (0.29; 0.27 to 0.32), and WBC (0.35; 0.25 to 0.46). Conversely, we found inverse associations of body height, FFM, and BCM with hsCRP, fibrinogen, and WBC.

CONCLUSIONS

Our study indicates the importance of WC as an easily measured marker for early inflammation. MRI-assessed markers of central obesity seem to be most strongly related to ferritin.

摘要

背景与目的

不同模式得出的身体成分标志物与炎症标志物的关联尚不清楚。本研究旨在通过一项基于人群的研究,确定不同模式得出的身体成分标志物与炎症标志物的关联。

方法和结果

我们分析了来自 4048 名年龄在 20-84 岁的参与者(2081 名女性,51.4%)的数据。使用线性回归模型调整混杂因素来分析经典人体测量标志物、绝对和相对脂肪量、绝对去脂体重(FFM)和通过生物电阻抗分析评估的体细胞质量(BCM)、皮下脂肪、内脏脂肪和磁共振成像(MRI)评估的肝脂肪与炎症标志物的关联。我们发现经典人体测量标志物、全身脂肪、皮下脂肪、内脏脂肪和肝脂肪与所有炎症标志物均呈正相关。腰围(WC)与超敏 C 反应蛋白(hsCRP)(β:1.39;95%置信区间 [CI]:1.22 至 1.56)和白细胞(WBC)(0.39;0.29 至 0.48)的关联最强,而内脏脂肪与铁蛋白的关联最强(41.9;34.7 至 49.0)。相对体脂与 hsCRP(1.39;1.20 至 1.58)、纤维蛋白原(0.29;0.27 至 0.32)和 WBC(0.35;0.25 至 0.46)强烈相关。相反,我们发现身高、FFM 和 BCM 与 hsCRP、纤维蛋白原和 WBC 呈负相关。

结论

本研究表明 WC 作为一种易于测量的早期炎症标志物的重要性。MRI 评估的中心性肥胖标志物与铁蛋白的相关性似乎最强。

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