Adipose‐derived miRNAs as potential biomarkers for predicting adulthood obesity and its complications: A systematic review and bioinformatic analysis

脂肪组织 小RNA 生物信息学 肥胖 小桶 生物 表观遗传学 计算生物学 疾病 转录因子 医学 转录组 基因 遗传学 内科学 基因表达 内分泌学
作者
Xiyan Liu,Huayi Sun,Lixia Zheng,Jian Zhang,Han Su,Bingjie Li,Qianhui Wu,Yunchan Liu,Yingxi Xu,Xiaoyu Song,Yang Yu
出处
期刊:Obesity Reviews [Wiley]
卷期号:25 (7) 被引量:4
标识
DOI:10.1111/obr.13748
摘要

Summary Adipose tissue is the first and primary target organ of obesity and the main source of circulating miRNAs in patients with obesity. This systematic review aimed to analyze and summarize the generation and mechanisms of adipose‐derived miRNAs and their role as early predictors of various obesity‐related complications. Literature searches in the PubMed and Web of Science databases using terms related to miRNAs, obesity, and adipose tissue. Pre‐miRNAs from the Human MicroRNA Disease Database, known to regulate obesity‐related metabolic disorders, were combined for intersection processing. Validated miRNA targets were sorted through literature review, and enrichment analysis using the Kyoto Encyclopedia of Genes and Genomes via the KOBAS online tool, disease analysis, and miRNA transcription factor prediction using the TransmiR v. 2.0 database were also performed. Thirty miRNAs were identified using both obesity and adipose secretion as criteria. Seventy‐nine functionally validated targets associated with 30 comorbidities of these miRNAs were identified, implicating pathways such as autophagy, p53 pathways, and inflammation. The miRNA precursors were analyzed to predict their transcription factors and explore their biosynthesis mechanisms. Our findings offer potential insights into the epigenetic changes related to adipose‐driven obesity‐related comorbidities.
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
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
老鐵完成签到,获得积分10
1秒前
FashionBoy应助科研通管家采纳,获得10
2秒前
zmnzmnzmn应助科研通管家采纳,获得10
2秒前
zmnzmnzmn应助科研通管家采纳,获得10
2秒前
zmnzmnzmn应助科研通管家采纳,获得10
2秒前
科研通AI2S应助科研通管家采纳,获得10
2秒前
科研通AI2S应助科研通管家采纳,获得10
3秒前
3秒前
3秒前
小牛完成签到 ,获得积分10
4秒前
usrcu完成签到 ,获得积分10
4秒前
5秒前
共享精神应助lvsehx采纳,获得10
5秒前
我是老大应助张秋雨采纳,获得10
6秒前
高兴的问儿完成签到 ,获得积分10
8秒前
所所应助Diana采纳,获得10
9秒前
9秒前
12秒前
13秒前
14秒前
lllxxx完成签到 ,获得积分10
14秒前
Fangfang发布了新的文献求助10
17秒前
17秒前
小笼包完成签到,获得积分10
17秒前
张秋雨发布了新的文献求助10
18秒前
19秒前
任性翠安完成签到 ,获得积分10
21秒前
25秒前
wy.he完成签到,获得积分0
25秒前
Ava应助YZQ采纳,获得10
26秒前
科yt完成签到,获得积分10
27秒前
27秒前
欢呼的鲂完成签到,获得积分10
27秒前
xin完成签到 ,获得积分10
29秒前
zheng-homes发布了新的文献求助10
33秒前
1234完成签到,获得积分10
33秒前
万能图书馆应助淡定鞋垫采纳,获得10
34秒前
zheng-homes完成签到,获得积分10
37秒前
黄黄完成签到,获得积分0
39秒前
40秒前
高分求助中
【此为提示信息,请勿应助】请按要求发布求助,避免被关 20000
Continuum Thermodynamics and Material Modelling 2000
Encyclopedia of Geology (2nd Edition) 2000
105th Edition CRC Handbook of Chemistry and Physics 1600
Maneuvering of a Damaged Navy Combatant 650
Периодизация спортивной тренировки. Общая теория и её практическое применение 310
Mixing the elements of mass customisation 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3778910
求助须知:如何正确求助?哪些是违规求助? 3324505
关于积分的说明 10218641
捐赠科研通 3039496
什么是DOI,文献DOI怎么找? 1668258
邀请新用户注册赠送积分活动 798634
科研通“疑难数据库(出版商)”最低求助积分说明 758440