亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

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
幽默的绝悟完成签到,获得积分10
2秒前
17秒前
acd发布了新的文献求助10
23秒前
天天快乐应助acd采纳,获得10
41秒前
x夏天完成签到 ,获得积分10
1分钟前
1分钟前
上官若男应助符符采纳,获得10
1分钟前
1分钟前
MchemG完成签到,获得积分0
1分钟前
符符发布了新的文献求助10
1分钟前
调皮千兰发布了新的文献求助10
2分钟前
2分钟前
lzy应助调皮千兰采纳,获得10
2分钟前
kuoping完成签到,获得积分0
2分钟前
2分钟前
调皮千兰完成签到,获得积分10
2分钟前
yang发布了新的文献求助10
2分钟前
2分钟前
3分钟前
顾矜应助科研通管家采纳,获得10
3分钟前
科研通AI6应助优美香露采纳,获得80
3分钟前
世隐发布了新的文献求助30
4分钟前
世隐完成签到,获得积分10
4分钟前
子平完成签到 ,获得积分0
4分钟前
4分钟前
5分钟前
符符完成签到,获得积分20
5分钟前
量子星尘发布了新的文献求助10
5分钟前
5分钟前
5分钟前
5分钟前
科研通AI2S应助符符采纳,获得10
6分钟前
6分钟前
zxcvvbb1001完成签到 ,获得积分10
6分钟前
李健应助无奈的迎天采纳,获得10
6分钟前
6分钟前
6分钟前
7分钟前
7分钟前
Criminology34应助无奈的迎天采纳,获得10
7分钟前
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
Binary Alloy Phase Diagrams, 2nd Edition 8000
Comprehensive Methanol Science Production, Applications, and Emerging Technologies 2000
Building Quantum Computers 800
Translanguaging in Action in English-Medium Classrooms: A Resource Book for Teachers 700
二氧化碳加氢催化剂——结构设计与反应机制研究 660
碳中和关键技术丛书--二氧化碳加氢 600
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 5657970
求助须知:如何正确求助?哪些是违规求助? 4815720
关于积分的说明 15080738
捐赠科研通 4816298
什么是DOI,文献DOI怎么找? 2577247
邀请新用户注册赠送积分活动 1532274
关于科研通互助平台的介绍 1490870