{"title":"Canonical correlation analysis on the association between pulmonary function and obesity in early-onset COPD: CT-based body composition analysis.","authors":"Jiaru Shi, Tianye Li, Zhenghao Chen, Luoman Su, Qiongyan Wu, Hongjun Zhao, Chengshui Chen","doi":"10.3389/fmed.2025.1633451","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>While body composition impacts pulmonary function, the differential effects of visceral (VAT) vs. subcutaneous adipose tissue (SAT) in early-onset COPD remain unquantified.</p><p><strong>Objective: </strong>To elucidate the relationship between obesity patterns and pulmonary function in early-onset COPD versus non-COPD populations, focusing on body mass index (BMI), visceral adipose tissue (VAT), and subcutaneous adipose tissue (SAT) distribution.</p><p><strong>Methods: </strong>This retrospective cohort study analyzed 290 patients (144 early-onset COPD, 146 non-COPD) aged 20-50 years. Body composition (BMI, SAT, VAT) was quantified via CT at the L1 vertebral level. Pulmonary function was assessed by bronchodilator responsiveness testing (FEV₁/FVC, MEF₇₅, MEF₅₀, MEF₂₅). Canonical correlation analysis (CCA) was used to evaluate the multidimensional associations between body composition and pulmonary function.</p><p><strong>Results: </strong>Canonical correlation analysis revealed distinct multidimensional relationships between body composition and pulmonary function across study cohorts (<i>p</i> < 0.05). In the early-onset COPD cohort (N = 144), a statistically significant canonical variate (r = 0.383, <i>λ</i> = 0.172) demonstrated moderate association strength linking body composition (X<sub>1</sub>: BMI, SAT, VAT) with pulmonary function (Y<sub>1</sub>: FEV<sub>1</sub>, FVC, MEF<sub>75</sub>, MEF<sub>25</sub>). Conversely, the non-COPD group (N = 146) exhibited stronger canonical correlation (r = 0.537, <i>λ</i> = 0.405), with body composition (X<sub>2</sub>: BMI, VAT) associating with pulmonary function (Y<sub>2</sub>: FEV<sub>1</sub>, FVC).</p><p><strong>Conclusion: </strong>In summary, early-onset COPD patients with elevated BMI and VAT but reduced SAT exhibited improved pulmonary function across most parameters. This enhancement was not observed in MEF<sub>50</sub> and MEF<sub>25</sub>. In contrast, the non-COPD cohort exhibits overall respiratory enhancement, as the cross-loading coefficient of MEF25-an indicator reflecting the weight of a variable in contributing to the canonical variate-is extremely small (0.05) and has a negligible impact on the overall association.</p>","PeriodicalId":12488,"journal":{"name":"Frontiers in Medicine","volume":"12 ","pages":"1633451"},"PeriodicalIF":3.1000,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12497633/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3389/fmed.2025.1633451","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
引用次数: 0
Abstract
Background: While body composition impacts pulmonary function, the differential effects of visceral (VAT) vs. subcutaneous adipose tissue (SAT) in early-onset COPD remain unquantified.
Objective: To elucidate the relationship between obesity patterns and pulmonary function in early-onset COPD versus non-COPD populations, focusing on body mass index (BMI), visceral adipose tissue (VAT), and subcutaneous adipose tissue (SAT) distribution.
Methods: This retrospective cohort study analyzed 290 patients (144 early-onset COPD, 146 non-COPD) aged 20-50 years. Body composition (BMI, SAT, VAT) was quantified via CT at the L1 vertebral level. Pulmonary function was assessed by bronchodilator responsiveness testing (FEV₁/FVC, MEF₇₅, MEF₅₀, MEF₂₅). Canonical correlation analysis (CCA) was used to evaluate the multidimensional associations between body composition and pulmonary function.
Results: Canonical correlation analysis revealed distinct multidimensional relationships between body composition and pulmonary function across study cohorts (p < 0.05). In the early-onset COPD cohort (N = 144), a statistically significant canonical variate (r = 0.383, λ = 0.172) demonstrated moderate association strength linking body composition (X1: BMI, SAT, VAT) with pulmonary function (Y1: FEV1, FVC, MEF75, MEF25). Conversely, the non-COPD group (N = 146) exhibited stronger canonical correlation (r = 0.537, λ = 0.405), with body composition (X2: BMI, VAT) associating with pulmonary function (Y2: FEV1, FVC).
Conclusion: In summary, early-onset COPD patients with elevated BMI and VAT but reduced SAT exhibited improved pulmonary function across most parameters. This enhancement was not observed in MEF50 and MEF25. In contrast, the non-COPD cohort exhibits overall respiratory enhancement, as the cross-loading coefficient of MEF25-an indicator reflecting the weight of a variable in contributing to the canonical variate-is extremely small (0.05) and has a negligible impact on the overall association.
期刊介绍:
Frontiers in Medicine publishes rigorously peer-reviewed research linking basic research to clinical practice and patient care, as well as translating scientific advances into new therapies and diagnostic tools. Led by an outstanding Editorial Board of international experts, 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.
In addition to papers that provide a link between basic research and clinical practice, a particular emphasis is given to studies that are directly relevant to patient care. In this spirit, the journal publishes the latest research results and medical knowledge that facilitate the translation of scientific advances into new therapies or diagnostic tools. The full listing of the Specialty Sections represented by Frontiers in Medicine is as listed below. As well as the established medical disciplines, Frontiers in Medicine is launching new sections that together will facilitate
- the use of patient-reported outcomes under real world conditions
- the exploitation of big data and the use of novel information and communication tools in the assessment of new medicines
- the scientific bases for guidelines and decisions from regulatory authorities
- access to medicinal products and medical devices worldwide
- addressing the grand health challenges around the world