Evidence map›Paper›PMID 32006527›Full record

ArticleLife sciences2020

Targeted lipidomics and transcriptomics profiling reveal the heterogeneity of visceral and subcutaneous white adipose tissue.

Biyu Hou, Yan Zhao, Ping He, Chunyang Xu, Peng Ma, Sin Man Lam, Bowen Li, Victoria Gil, Guanghou Shui, Guifen Qiang and 2 more

Open access · greenAbstract read
In one paragraph

Article in Life sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
2.8field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 46 citations in OpenAlex.

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  13. White adipose tissue remodeling in Little Brown Myotis (Myotis lucifugus) with white-nose syndrome.Metabolomics : Official journal of the Metabolomic Society · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 7 institutions in 2 countries.

Biyu HouState Key Laboratory of Bioactive Substances and Functions of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College and Beijing Key Laboratory of Drug Target and Screening Research, Beijing 100050, China.
Yan ZhaoQingdao Municipal Hospital, Qingdao 266011, China.
Ping HeState Key Laboratory of Bioactive Substances and Functions of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College and Beijing Key Laboratory of Drug Target and Screening Research, Beijing 100050, China.
Chunyang XuBeijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing 100026, China.
Peng MaState Key Laboratory of Bioactive Substances and Functions of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College and Beijing Key Laboratory of Drug Target and Screening Research, Beijing 100050, China.
Sin Man LamInstitute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China.
Bowen LiLipidALL Technologies Ltd., Changzhou, China.
Victoria GilDepartment of Physiology and Biophysics, College of Medicine, University of Illinois at Chicago, Chicago, 60612, IL, USA.
Guanghou ShuiInstitute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China.
Guifen QiangState Key Laboratory of Bioactive Substances and Functions of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College and Beijing Key Laboratory of Drug Target and Screening Research, Beijing 100050, China. Electronic address: qianggf@imm.ac.cn.
Chong Wee LiewDepartment of Physiology and Biophysics, College of Medicine, University of Illinois at Chicago, Chicago, 60612, IL, USA. Electronic address: cwliew@uic.edu.
Guanhua DuState Key Laboratory of Bioactive Substances and Functions of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College and Beijing Key Laboratory of Drug Target and Screening Research, Beijing 100050, China. Electronic address: dugh@imm.ac.cn.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNUniversity of Illinois Chicago · USBeijing Obstetrics and Gynecology Hospital · CNChinese Academy of Sciences · CNInstitute of Genetics and Developmental Biology · CNLipidALL Technologies (China) · CNQingdao Municipal Hospital · CN

Funding

Pilot and Feasibility ProgramP30DK020595 · NIDDK · UNIVERSITY OF CHICAGO · PI Raghavendra G Mirmira · 2013 to 2026
$20.9M
EMC10, a novel obesity-regulated circulating factor, regulates energy and metabolic homeostasisR01DK109015 · NIDDK · UNIVERSITY OF ILLINOIS AT CHICAGO · PI LIEW, CHONG WEE · 2016 to 2020
$1.8M
Role of the transcriptional coregulator, TRIP Br2, in adipocyte metabolismR00DK090210 · NIDDK · UNIVERSITY OF ILLINOIS AT CHICAGO · PI LIEW, CHONG WEE · 2012 to 2014
$724k
NIDDK NIH HHS P30 DK020595NIDDK NIH HHS R00 DK090210NIDDK NIH HHS R01 DK109015
6 · The paper itself

Abstract

aimsThe depot-specific differences in lipidome of visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) reflect heterogeneity of white adipose tissue (WAT), which plays a central role in its distinct response to outside stimuli. However, the detailed lipidome of depot-specific WAT is largely unknown, especially the minor constitutes including phospholipid and sphingolipid. MATERIALS AND

methodsTo investigate this field, we applied a high-coverage targeted lipidomics approach of VAT and SAT in male C57BL/6J mice to compare the basal level of their lipid profiles. Applying microarray and quantitative real-time polymerase chain reaction, we analyzed the transcriptome of twodepot-specific WAT and verified the differences in individual genes. KEY

findingsIn total, 342 lipid species from 19 lipid classes were identified. Our results showed the composition of TAG and FFA were different in length of chain and saturation. Interestingly, low abundance phospholipid, sphingolipid and cardiolipin were significantly higher in SAT. Lipid correlation network analysis vindicated that TAG and phospholipid formed distinct subnet and had more connections with other lipid species. Enriched ontology analysis of gene screened from LIPID MAPS and microarray suggested the differences were mainly involved in lipid metabolism, insulin resistance and inflammatory response. SIGNIFICANCE: Our comprehensive lipidomics and transcriptomics analyses revealed differences in lipid composition and lipid metabolism of two depot-specific WAT, which would offer new insights into the investigation of heterogeneity of visceral and subcutaneous white adipose tissue.

Indexed as

LipidomicsTranscriptomeAdipose Tissue, WhiteAnimalsCardiolipinsCeramidesFatty AcidsGlyceridesIntra-Abdominal FatLipid MetabolismLipidsMaleMiceMice, Inbred C57BLPhospholipidsReal-Time Polymerase Chain ReactionCardiolipinsCeramidesFatty AcidsGlyceridesLipidsPhospholipidsLipidomicsSubcutaneous adipose tissueTranscriptomicsVisceral adipose tissueWhite adipose tissue heterogeneity

Identifiers

PMID32006527
PMCPMC7988272
OpenAlexW3003513126

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.