The association between aggregate index of systemic inflammation and DXA-measured body composition parameters in adolescents.

IF 3.2 3区医学 Q2 PHYSIOLOGY

Frontiers in Physiology Pub Date : 2025-06-09 eCollection Date: 2025-01-01 DOI:10.3389/fphys.2025.1612735

Haihua Wang, Luping Tao, Zhongxin Zhu

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引用次数: 0

Abstract

Background: Systemic inflammation during adolescence may critically influence metabolic and musculoskeletal health, yet comprehensive biomarkers predicting adverse body composition remain underexplored. The aggregate index of systemic inflammation (AISI), integrating neutrophils, platelets, monocytes, and lymphocytes, offers a novel metric to assess this relationship.

Methods: This cross-sectional study analyzed 3,661 adolescents (aged 12-19 years) from NHANES 2011-2018. AISI was calculated from complete blood counts, and body composition parameters-appendicular lean mass index (ALMI), visceral adipose tissue area (VATA), and total bone mineral density (BMD)-were measured via dual-energy X-ray absorptiometry (DXA). Multivariable linear regression and threshold effect models evaluated associations, adjusting for demographic, metabolic, and lifestyle covariates.

Results: Higher logAISI was associated with lower ALMI (β = -0.189, 95% CI: -0.262 to -0.116), greater VATA (β = 3.017, 1.266-4.769), and reduced BMD (β = -0.017, -0.027 to -0.007). A threshold effect emerged at logAISI = 2.2, beyond which inflammation's impact on VATA and BMD intensified.

Conclusion: Elevated AISI correlates with adverse body composition in adolescents. The identified threshold suggests a potential clinical benchmark for early intervention. These findings underscore systemic inflammation as a modifiable target to mitigate metabolic and musculoskeletal risks during this critical developmental period.

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青少年全身性炎症综合指数与dxa测量的身体成分参数的关系。

背景：青春期的全身性炎症可能严重影响代谢和肌肉骨骼健康，但预测不良身体成分的综合生物标志物仍未得到充分研究。综合中性粒细胞、血小板、单核细胞和淋巴细胞的全身性炎症综合指数（AISI）为评估这种关系提供了一种新的指标。方法：本横断面研究分析了NHANES 2011-2018年的3661名青少年（12-19岁）。通过全血计数计算AISI，并通过双能x线吸收仪（DXA）测量身体组成参数-阑尾瘦质量指数（ALMI），内脏脂肪组织面积（VATA）和总骨密度（BMD）。多变量线性回归和阈值效应模型评估了相关性，调整了人口统计学、代谢和生活方式协变量。结果：较高的logAISI与较低的ALMI （β = -0.189, 95% CI: -0.262 ~ -0.116）、较高的VATA （β = 3.017, 1.266 ~ 4.769）和降低的BMD （β = -0.017, -0.027 ~ -0.007）相关。logAISI = 2.2时出现阈值效应，超过此值，炎症对VATA和BMD的影响加剧。结论：青少年AISI升高与不良体成分相关。确定的阈值为早期干预提供了潜在的临床基准。这些发现强调，在这个关键的发育时期，全身性炎症是减轻代谢和肌肉骨骼风险的一个可改变的目标。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Frontiers in Physiology PHYSIOLOGY-

CiteScore

6.50

自引率

5.00%

发文量

2608

审稿时长

14 weeks

期刊介绍： Frontiers in Physiology is a leading journal in its field, publishing rigorously peer-reviewed research on the physiology of living systems, from the subcellular and molecular domains to the intact organism, and its interaction with the environment. Field Chief Editor George E. Billman at the Ohio State University Columbus is supported by an outstanding Editorial Board of international researchers. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, clinicians and the public worldwide.