Global matrisome changes in obese lung are linked to fibroblastic stroma and premature aging

Obesity is linked to an increased risk of various lung disorders, yet its role in disease progression remains poorly understood. We have utilized multiomics approaches together with functional assays to explore the effect of obesity on the lung. Obesity induced matrisome remodeling and structural alterations in the elastic fiber network, exhibiting solubility shifts that overlapped with those seen in the aging lung. In addition, protease inhibitor levels were reduced in lung tissue and bronchoalveolar lavage fluid, suggesting a more damage-prone environment. At the cellular level, fibroblastic stromal cells (FSCs) selectively accumulated lipids, adopted myofibroblast-like phenotypes, and exhibited transcriptional hallmarks of premature aging. Functional assays confirmed that lipid-enriched fibroblasts displayed enhanced contractility, implicating them in the altered mechanical compliance of the obese lung. Overall, obesity led to complex alterations in the lung that ultimately affect FSCs and suggest that overnutrition may act as a contributor to premature aging, thereby compromising lung heath.

Authors

Institutions

Publication Details

Journal
Cell Reports
Published
2025-09-01
DOI
https://doi.org/10.1016/j.celrep.2025.116285
Citations
1
Primary Topic
Medical Imaging and Pathology Studies
Type
article
Field-Weighted Citation Impact
1.52
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Global matrisome changes in obese lung are linked to fibroblastic stroma and premature aging

Andreas U. Lindner, Jelena Zurkovic, Pilar Bravo, Jian Jian Li et al.
1 citations
Cell Reports
Medical Imaging and Pathology Studies
1.52
article

Global matrisome changes in obese lung are linked to fibroblastic stroma and premature aging

Andreas U. Lindner, Jelena Zurkovic, Pilar Bravo, Jian Jian Li, Sebastian Kallabis, Sophia Rottmann, Christoph Eckert, Felix Meissner, Jie Qin, Xiansheng Liu, Qi Mei, Christoph Thiele, Veronika Lukacs‐Kornek
article en
1 citations

Abstract

Obesity is linked to an increased risk of various lung disorders, yet its role in disease progression remains poorly understood. We have utilized multiomics approaches together with functional assays to explore the effect of obesity on the lung. Obesity induced matrisome remodeling and structural alterations in the elastic fiber network, exhibiting solubility shifts that overlapped with those seen in the aging lung. In addition, protease inhibitor levels were reduced in lung tissue and bronchoalveolar lavage fluid, suggesting a more damage-prone environment. At the cellular level, fibroblastic stromal cells (FSCs) selectively accumulated lipids, adopted myofibroblast-like phenotypes, and exhibited transcriptional hallmarks of premature aging. Functional assays confirmed that lipid-enriched fibroblasts displayed enhanced contractility, implicating them in the altered mechanical compliance of the obese lung. Overall, obesity led to complex alterations in the lung that ultimately affect FSCs and suggest that overnutrition may act as a contributor to premature aging, thereby compromising lung heath.

Cell ReportsVol. 44(9)
University of Bonn (DE), Shanxi Medical University (CN), Johannes Gutenberg University Mainz (DE), University Hospital Bonn (DE), University Medical Center of the Johannes Gutenberg University Mainz (DE), Guangxi Maternal and Child Health Hospital (CN), Shanxi Academy of Medical Sciences (CN), Life & Brain (Germany) (DE)
Openalex Percentile: Top 14%
Medical Imaging and Pathology Studies
1.52
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.