Renal sinus adipose tissue: exploratory study of metabolic features and transcriptome compared with omental and subcutaneous adipose tissue

作者
Maria J. Pereira,Argyri Mathioudaki,A. Otero,Padma Priya Duvvuri,Milica Vranic,Amir Sedigh,Jan W. Eriksson,Maria Svensson
出处
期刊:Obesity [Wiley]
卷期号:32 (10): 1870-1884 被引量:8
标识
DOI:10.1002/oby.24114
摘要

OBJECTIVE: The objective was to study metabolic characteristics and transcriptome of renal sinus adipose tissue (RSAT) located around renal arteries and veins. METHODS: Adipose tissue biopsies from RSAT, omental (OAT), and subcutaneous (SAT) depots were obtained from healthy kidney donors (20 female, 20 male). Adipocyte glucose uptake rate and cell size were measured, and gene expression analyses using transcriptomics were performed. RESULTS: RSAT adipocytes were significantly smaller, with a higher basal glucose uptake rate, than adipocytes from SAT and OAT. Transcriptomic analyses revealed 29 differentially expressed genes between RSAT and OAT (RSAT: 23 lower, 6 higher) and 1214 differentially expressed genes between RSAT and SAT (RSAT: 859 lower, 355 higher). RSAT demonstrated molecular resemblance to OAT, both exhibiting lower metabolic gene expression and higher expression of immune-related pathways, including IL-17, TNFα, and NF-κB signaling than SAT. Weighted gene coexpression network analysis associated RSAT with immune response and nucleic acid transport processes. Despite its location near the renal hilum, RSAT closely resembled OAT and there was a lack of expression in the classical brown adipose tissue genes. Gene enrichment analyses suggest an inflammatory environment in RSAT compared with SAT and, to some extent, OAT. CONCLUSIONS: The findings suggest specific RSAT functions that could impact renal function and, possibly, the development of renal and cardiometabolic disorders.

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
李栖迟完成签到 ,获得积分10
1秒前
cdercder应助甜叶菊采纳,获得10
2秒前
Jerry完成签到 ,获得积分10
2秒前
顺心寄容完成签到,获得积分10
6秒前
SDS完成签到 ,获得积分10
7秒前
羽化成仙完成签到 ,获得积分10
8秒前
辰辰完成签到 ,获得积分10
8秒前
充电宝应助六六采纳,获得10
13秒前
LuciusHe完成签到,获得积分10
13秒前
所所应助尊敬的灰狼采纳,获得10
14秒前
魔幻幻桃完成签到 ,获得积分10
14秒前
Dlan完成签到,获得积分10
16秒前
17秒前
赘婿应助gjww采纳,获得30
18秒前
20秒前
22秒前
24秒前
huluwa完成签到,获得积分10
25秒前
26秒前
流觞完成签到 ,获得积分10
28秒前
晨晨完成签到 ,获得积分10
28秒前
六六发布了新的文献求助10
28秒前
yang发布了新的文献求助10
29秒前
yindi1991完成签到 ,获得积分10
32秒前
快乐的千兰完成签到 ,获得积分10
34秒前
ilk666完成签到,获得积分10
37秒前
39秒前
Lorry完成签到 ,获得积分10
43秒前
43秒前
46秒前
李彦完成签到,获得积分10
49秒前
韶邑发布了新的文献求助10
49秒前
科研通AI6.4应助gjww采纳,获得10
51秒前
EvianLee完成签到 ,获得积分10
51秒前
醒了没醒醒完成签到 ,获得积分10
54秒前
apckkk发布了新的文献求助80
58秒前
59秒前
yang完成签到,获得积分10
59秒前
59秒前
JamesPei应助六六采纳,获得10
1分钟前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(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
48V Low-voltage Power Distribution Network (PDN) Architecture Industry Report, 2024 800
ズームレンズの光学設計に関する研究 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7298204
求助须知:如何正确求助?哪些是违规求助? 8916621
关于积分的说明 18879477
捐赠科研通 6963240
什么是DOI,文献DOI怎么找? 3210642
关于科研通互助平台的介绍 2379958
邀请新用户注册赠送积分活动 2187125