Beyond BMI: A Three-Dimensional Integrative Framework of Morphology-Metabolism-Adipose Inflammation for Predicting Obesity-Related Asthma.

Authors

Yuanyuan Ying, Yaqin Wang, Kaiwen Ni, Zhen Wang, Ruilin Chen

Published in

The Journal of asthma : official journal of the Association for the Care of Asthma. Pages 1-29. Jun 30, 2026. Epub Jun 30, 2026.

Abstract

[Objective] Body mass index (BMI) fails to distinguish fat from lean mass, capture fat distribution, or reflect metabolic dysfunction and adipose inflammation, limiting its utility in obesity-related asthma. A framework integrating morphological, metabolic, and inflammatory indicators may offer a more biologically relevant approach.[Methods] We systematically searched PubMed, Embase, and Web of Science up to April 10, 2026, including population-based studies, imaging/body composition analyses, and mechanistic studies reporting asthma risk, phenotypes, lung function, control, or exacerbations.[Results] BMI alone insufficiently predicts asthma outcomes. Central and upper-body anthropometric indices (waist-to-height ratio, neck circumference, weight-adjusted waist index) show stronger, BMI-independent associations with asthma onset, poor control, and lung function decline. Body composition distinguishes fat versus lean mass effects; visceral adipose tissue and dysanapsis capture mechanical/developmental pathways. Metabolic abnormalities (dyslipidemia, small dense LDL, triglyceride-glucose index) correlate with airway resistance and exacerbation risk, often independent of total adiposity. Leptin is elevated and adiponectin reduced in asthma; the leptin/adiponectin ratio and interleukin-6 identify a metabolically driven, non-type 2 phenotype poorly captured by BMI. These three dimensions offer complementary biomarkers for risk stratification, phenotyping, and monitoring treatment response.[Conclusion] Assessing obesity-related asthma should move beyond a BMI-centered approach toward an integrated morphology-metabolism-inflammation framework, enhancing early identification, endotype-based stratification, and personalized management. Longitudinal studies are needed to validate multi-indicator scoring systems and establish standardized cutoffs.

PMID:
42377997
Bibliographic data and abstract were imported from PubMed on 30 Jun 2026.

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