Age-associated differences in the human lung extracellular matrix

细胞外基质 转录组 薄壁组织 生物 免疫组织化学 病理 蛋白质组学 胶原VI 基因表达 医学 基因 免疫学 细胞生物学 内科学 遗传学
作者
Maunick Lefin Koloko Ngassie,Maaike de Vries,Theo Borghuis,Wim Timens,Don D. Sin,David C. Nickle,Philippe Joubert,Péter Horvatovich,György Markó-Varga,J.J. Teske,Judith M. Vonk,Reinoud Gosens,Y.S. Prakash,Janette K. Burgess,Corry‐Anke Brandsma
出处
期刊:American Journal of Physiology-lung Cellular and Molecular Physiology [American Physiological Society]
卷期号:324 (6): L799-L814 被引量:9
标识
DOI:10.1152/ajplung.00334.2022
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 differences 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 parenchyma. 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 immunohistochemical 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.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
沉默丹亦完成签到,获得积分20
刚刚
张婧完成签到,获得积分20
1秒前
上官若男应助cccccttt采纳,获得10
1秒前
1秒前
PXY完成签到,获得积分10
2秒前
啦啦啦完成签到,获得积分10
2秒前
3秒前
Mayeleven发布了新的文献求助30
5秒前
沉默丹亦发布了新的文献求助30
5秒前
绿兔子完成签到,获得积分10
6秒前
6秒前
完美世界应助66采纳,获得30
7秒前
yafei完成签到 ,获得积分10
7秒前
现实的宝马完成签到,获得积分10
8秒前
我不吃牛肉完成签到,获得积分10
9秒前
10秒前
程传勇完成签到,获得积分10
10秒前
11111111111完成签到,获得积分10
10秒前
37完成签到,获得积分10
13秒前
小夫应助百岁小咪采纳,获得10
17秒前
小帅完成签到,获得积分10
17秒前
白白发布了新的文献求助10
17秒前
17秒前
18秒前
18秒前
小二郎应助科研通管家采纳,获得10
18秒前
小二郎应助科研通管家采纳,获得10
19秒前
zq应助科研通管家采纳,获得10
19秒前
zq应助科研通管家采纳,获得10
19秒前
科研通AI2S应助科研通管家采纳,获得10
19秒前
科研通AI2S应助科研通管家采纳,获得10
19秒前
19秒前
19秒前
科研通AI6应助科研通管家采纳,获得10
19秒前
19秒前
科研通AI6应助科研通管家采纳,获得10
19秒前
科研通AI6应助科研通管家采纳,获得10
19秒前
科研通AI6应助科研通管家采纳,获得10
19秒前
bkagyin应助科研通管家采纳,获得10
19秒前
bkagyin应助科研通管家采纳,获得10
19秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Introduction to strong mixing conditions volume 1-3 5000
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 2000
从k到英国情人 1500
Ägyptische Geschichte der 21.–30. Dynastie 1100
„Semitische Wissenschaften“? 1100
Real World Research, 5th Edition 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5733271
求助须知:如何正确求助?哪些是违规求助? 5347662
关于积分的说明 15323495
捐赠科研通 4878407
什么是DOI,文献DOI怎么找? 2621220
邀请新用户注册赠送积分活动 1570329
关于科研通互助平台的介绍 1527224