IRCCS Mondino Foundation, 27100, Pavia, Italy.
Department of Public Health, Experimental and Forensic Medicine, University of Pavia, 27100, Pavia, Italy.
Lipids Health Dis. 2020 Jun 26;19(1):154. doi: 10.1186/s12944-020-01308-5.
A study has been performed in overweight and obese subjects to assess the effects of adiposity and inflammation indicators on dysmetabolic biomarkers via red cell distribution width (RDW) and mean corpuscular volume (MCV), taking into account pro-antioxidant balance.
Data from 166 overweight subjects were analyzed by a path analysis model using structural equation modelling (SEM) to evaluate the direct and indirect pathway effects of adiposity, measured by body mass index (BMI) and waist circumference (WC), and inflammation status, measured by pro-antioxidant balance [reactive oxygen species (ROS)], lag-time and slope and C-reactive protein (CRP) values on dysmetabolic biomarkers, via RDW and MCV.
BMI was strongly linked to CRP and ROS levels. Moreover, there was a significant negative decrease of MCV (1.546 femtoliters) linked to BMI indirectly via high CRP levels. Furthermore, WC affected RDW, indicating a possible mediatory role for RDW in relation to the relationship between WC and homeostatic model assessment (HOMA), insulin and high density lipoprotein (HDL), respectively. This was evident by the elevated HOMA and insulin levels and the decreased levels of HDL. Finally, ROS-related markers did not affect directly RDW and MCV.
The reported outcomes suggest that RDW might play a mediatory role in the relationship between WC and the dysmetabolic outcomes in overweight and obese individuals. CRP seems to modulate the linkage between BMI and MCV. This study provides the backbone structure for future scenarios and lays the foundation for further research on the role of RDW and MCV as suitable biomarkers for the assessment of cardiovascular disease (HDL-cholesterol), inflammatory bowels and insulin resistance.
本研究在超重和肥胖人群中进行，旨在通过红细胞分布宽度（RDW）和平均红细胞体积（MCV）评估肥胖和炎症指标对代谢异常生物标志物的影响，同时考虑到抗氧化平衡。
采用结构方程模型（SEM）路径分析模型对 166 名超重受试者的数据进行分析，以评估肥胖程度（通过体重指数（BMI）和腰围（WC）测量）和炎症状态（通过抗氧化平衡[活性氧（ROS）]、延迟时间和斜率以及 C-反应蛋白（CRP）值测量）对 RDW 和 MCV 代谢异常生物标志物的直接和间接影响。
BMI 与 CRP 和 ROS 水平密切相关。此外，MCV 与 BMI 呈显著负相关（间接通过 CRP 水平降低 1.546 飞升）。此外，WC 影响 RDW，表明 RDW 可能在 WC 与稳态模型评估（HOMA）、胰岛素和高密度脂蛋白（HDL）之间的关系中起中介作用。这一点可以从 HOMA 和胰岛素水平升高以及 HDL 水平降低得到证实。最后，ROS 相关标志物对 RDW 和 MCV 没有直接影响。
研究结果表明，RDW 可能在超重和肥胖个体的 WC 与代谢异常结果之间起中介作用。CRP 可能调节 BMI 和 MCV 之间的联系。本研究为未来的研究提供了结构框架，并为进一步研究 RDW 和 MCV 作为评估心血管疾病（HDL-胆固醇）、炎症性肠病和胰岛素抵抗的合适生物标志物的作用奠定了基础。
