Transcriptomic and proteomic profiling of young and old mice in the bleomycin model reveals high similarity

博莱霉素 特发性肺纤维化 转录组 肺纤维化 纤维化 生物 病理 基因签名 发病机制 基因表达谱 医学 内科学 基因表达 基因 遗传学 化疗
作者
Stephan Klee,Sergio Picart-Armada,Kathrin Wenger,Gerald Birk,Karsten Quast,Daniel Veyel,Wolfgang Rist,Coralie Violet,Andreas H. Luippold,Christian Haslinger,Matthew Thomas,Francesc Fernandez-Albert,Marc Kästle
出处
期刊:American Journal of Physiology-lung Cellular and Molecular Physiology [American Physiological Society]
卷期号:324 (3): L245-L258
标识
DOI:10.1152/ajplung.00253.2021
摘要

The most common preclinical, in vivo model to study lung fibrosis is the bleomycin-induced lung fibrosis model in 2- to 3-mo-old mice. Although this model resembles key aspects of idiopathic pulmonary fibrosis (IPF), there are limitations in its predictability for the human disease. One of the main differences is the juvenile age of animals that are commonly used in experiments, resembling humans of around 20 yr. Because IPF patients are usually older than 60 yr, aging appears to play an important role in the pathogenesis of lung fibrosis. Therefore, we compared young (3 months) and old mice (21 months) 21 days after intratracheal bleomycin instillation. Analyzing lung transcriptomics (mRNAs and miRNAs) and proteomics, we found most pathways to be similarly regulated in young and old mice. However, old mice show imbalanced protein homeostasis as well as an increased inflammatory state in the fibrotic phase compared to young mice. Comparisons with published human transcriptomic data sets (GSE47460, GSE32537, and GSE24206) revealed that the gene signature of old animals correlates significantly better with IPF patients, and it also turned human healthy individuals better into "IPF patients" using an approach based on predictive disease modeling. Both young and old animals show similar molecular hallmarks of IPF in the bleomycin-induced lung fibrosis model, although old mice more closely resemble several features associated with IPF in comparison to young animals.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
我到家盛极必衰完成签到 ,获得积分20
4秒前
5秒前
1278day完成签到,获得积分10
8秒前
CipherSage应助吕健采纳,获得10
10秒前
惟依发布了新的文献求助10
10秒前
上官若男应助科研通管家采纳,获得10
11秒前
11秒前
11秒前
领导范儿应助科研通管家采纳,获得10
11秒前
Lucas应助科研通管家采纳,获得30
11秒前
13秒前
风姿物语完成签到,获得积分10
13秒前
14秒前
16秒前
xgvf胥完成签到 ,获得积分10
17秒前
研友_842aln发布了新的文献求助10
19秒前
22秒前
23秒前
洋洋完成签到 ,获得积分10
23秒前
weiling发布了新的文献求助10
26秒前
星辰大海应助真实的安波采纳,获得10
26秒前
一心只搞学术完成签到 ,获得积分10
28秒前
mojomars完成签到,获得积分10
29秒前
orixero应助李青荣采纳,获得10
29秒前
勤奋的猪完成签到,获得积分10
30秒前
32秒前
jiangci完成签到,获得积分10
32秒前
muxiangrong应助魔法大师采纳,获得50
33秒前
夏天发布了新的文献求助10
33秒前
慕青应助Koi采纳,获得10
33秒前
要文献啊完成签到 ,获得积分10
34秒前
XXHH完成签到 ,获得积分10
35秒前
35秒前
景XN发布了新的文献求助10
36秒前
zzzzzx完成签到,获得积分10
36秒前
40秒前
SciGPT应助grey00777采纳,获得10
43秒前
我就是KKKK发布了新的文献求助10
48秒前
噜噜噜噜噜完成签到,获得积分10
51秒前
croissante完成签到 ,获得积分10
52秒前
高分求助中
LNG地下式貯槽指針(JGA指-107) 1000
LNG地上式貯槽指針 (JGA指 ; 108) 1000
QMS18Ed2 | process management. 2nd ed 600
LNG as a marine fuel—Safety and Operational Guidelines - Bunkering 560
How Stories Change Us A Developmental Science of Stories from Fiction and Real Life 500
九经直音韵母研究 500
Full waveform acoustic data processing 500
热门求助领域 (近24小时)
化学 医学 材料科学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 免疫学 细胞生物学 电极
热门帖子
关注 科研通微信公众号,转发送积分 2935016
求助须知:如何正确求助?哪些是违规求助? 2590420
关于积分的说明 6978858
捐赠科研通 2235544
什么是DOI,文献DOI怎么找? 1187254
版权声明 589846
科研通“疑难数据库(出版商)”最低求助积分说明 581195