Age-associated differences in the human lung extracellular matrix

被引:14
|
作者
Ngassie, Maunick Lefin Koloko [1 ,2 ]
De Vries, Maaike [2 ,3 ]
Borghuis, Theo [1 ]
Timens, Wim [1 ,2 ]
Sin, Don D. [4 ]
Nickle, David [5 ]
Joubert, Philippe [6 ]
Horvatovich, Peter [7 ]
Marko-Varga, Gyorgy [8 ]
Teske, Jacob J. [9 ]
Vonk, Judith M. [2 ,3 ]
Gosens, Reinoud [1 ,2 ,10 ]
Prakash, Y. S. [9 ]
Burgess, Janette K. [1 ,2 ]
Brandsma, Corry-Anke [1 ,2 ]
机构
[1] Univ Groningen, Univ Med Ctr Groningen, Dept Pathol & Med Biol, Groningen, Netherlands
[2] Univ Groningen, Univ Med Ctr Groningen, Groningen Res Inst Asthma & COPD, Groningen, Netherlands
[3] Univ Groningen, Univ Med Ctr Groningen, Dept Epidemiol, Groningen, Netherlands
[4] Univ British Columbia, Pauls Hosp, Ctr Heart Lung Innovat St, Vancouver, BC, Canada
[5] Monoceros Bio, San Diego, CA USA
[6] Inst Univ Cardiol & Pneumol Quebec, Quebec City, PQ, Canada
[7] Univ Groningen, Groningen Res Inst Pharm, Dept Analyt Biochem, Groningen, Netherlands
[8] Lund Univ, Ctr Excellence Biol & Med Mass Spectrometry, Biomed Ctr, Lund, Sweden
[9] Mayo Clin, Dept Anesthesiol & Perioperat Med, Rochester, MN USA
[10] Univ Groningen, Dept Mol Pharmacol, Groningen, Netherlands
关键词
aging; airway wall; extracellular matrix; lung; parenchyma; GENE-EXPRESSION; FIBULIN-2; EPITHELIUM; SIGNATURE; COLLAGEN; SMOKING;
D O I
10.1152/ajplung.00334.2022
中图分类号
Q4 [生理学];
学科分类号
071003 ;
摘要
Extracellular matrix (ECM) remodeling has been associated with chronic lung diseases. However, information about specific age -associated differences in lung ECM is currently limited. In this study, we aimed to identify and localize age-associated ECM dif-ferences in human lungs using comprehensive transcriptomic, proteomic, and immunohistochemical analyses. Our previously identified age-associated gene expression signature of the lung was re-analyzed limiting it to an aging signature based on 270 control patients (37-80 years) and focused on the Matrisome core geneset using geneset enrichment analysis. To validate the age-associated transcriptomic differences on protein level, we compared the age-associated ECM genes (false discovery rate, FDR < 0.05) with a profile of age-associated proteins identified from a lung tissue proteomics dataset from nine control patients (49-76 years) (FDR < 0.05). Extensive immunohistochemical analysis was used to localize and semi-quantify the age-associated ECM differences in lung tissues from 62 control patients (18-82 years). Comparative analysis of transcriptomic and proteomic data identified seven ECM proteins with higher expression with age at both gene and protein levels: COL1A1, COL6A1, COL6A2, COL14A1, FBLN2, LTBP4, and LUM. With immunohistochemistry, we demonstrated higher protein levels with age for COL6A2 in whole tissue, parenchyma, airway wall, and blood vessel, for COL14A1 and LUM in bronchial epithelium, and COL1A1 in lung pa-renchyma. Our study revealed that higher age is associated with lung ECM remodeling, with specific differences occurring in defined regions within the lung. These differences may affect lung structure and physiology with aging and as such may increase susceptibility to developing chronic lung diseases. NEW & NOTEWORTHY We identified seven age-associated extracellular matrix (ECM) proteins, i.e., COL1A1, COL6A1, COL6A2 COL14A1, FBLN2, LTBP4, and LUM with higher transcript and protein levels in human lung tissue with age. Extensive immunohis-tochemical analysis revealed significant age-associated differences for COL6A2 in whole tissue, parenchyma, airway wall, and vessel, for COL14A1 and LUM in bronchial epithelium, and COL1A1 in parenchyma. Our findings lay a new foundation for the investigation of ECM differences in age-associated chronic lung diseases.
引用
收藏
页码:L799 / L814
页数:16
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