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.

中文翻译：

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一个结构方程模型，通过红细胞分布宽度和平均红细胞体积，评估代谢异常生物标志物上人体肥胖和炎症状态的途径：一项针对超重和肥胖受试者的横断面研究。

已经对超重和肥胖受试者进行了一项研究，以考虑到抗氧化剂的平衡，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。使用结构方程模型（SEM），通过路径分析模型分析了166名超重受试者的数据，以评估肥胖的直接和间接途径效应（通过体重指数（BMI）和腰围（WC）进行测量）以及炎症状态（通过测量）通过RDW和MCV，通过抗代谢生物标记物上的抗氧化剂平衡[活性氧（ROS）]，滞后时间和斜率以及C反应蛋白（CRP）值。BMI与CRP和ROS水平密切相关。此外，MCV显着下降（1。546飞升）通过高CRP水平间接链接到BMI。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。HOMA和胰岛素水平升高以及HDL水平降低证明了这一点。最后，ROS相关标记不会直接影响RDW和MCV。报告的结果表明，RDW可能在超重和肥胖个体的WC与代谢异常之间的关系中起中介作用。CRP似乎可以调节BMI和MCV之间的联系。