Evidence map›Paper›PMID 36161775›Full record

ArticleObesity (Silver Spring, Md.)2022

Plasma metabolomic signatures of obesity and risk of type 2 diabetes.

Xiong-Fei Pan, Zsu-Zsu Chen, Thomas J Wang, Xiang Shu, Hui Cai, Qiuyin Cai, Clary B Clish, Xu Shi, Wei Zheng, Robert E Gerszten and 2 more

Open access · greenAbstract read
In one paragraph

Article in Obesity (Silver Spring, Md.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

9 citing papers in PubMed, 17 citations in OpenAlex.

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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 5 institutions in 1 country.

Xiong-Fei PanDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, Tennessee, USA.ORCID 0000-0002-9350-9230
Zsu-Zsu ChenDivision of Endocrinology, Diabetes, and Metabolism, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA.
Thomas J WangDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Xiang ShuDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Hui CaiDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Qiuyin CaiDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Clary B ClishMetabolomics Platform, Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts, USA.
Xu ShiBroad Institute of Massachusetts Institute of Technology and Harvard & Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA.
Wei ZhengDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, Tennessee, USA.ORCID 0000-0003-1226-070X
Robert E GersztenBroad Institute of Massachusetts Institute of Technology and Harvard & Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA.
Xiao-Ou ShuDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Danxia YuDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Vanderbilt University Medical Center · USBroad Institute · USMemorial Sloan Kettering Cancer Center · USBeth Israel Deaconess Medical Center · USThe University of Texas Southwestern Medical Center · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
Tumor Immunology and Microenvironment Research ProgramP30CA068485 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Ben Ho Park · 1995 to 2026
$172.8M
Shanghai Womens Health StudyUM1CA182910 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI ZHENG, WEI · 2014 to 2018
$5.9M
Shanghai Men's Health StudyUM1CA173640 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI SHU, XIAO-OU · 2013 to 2017
$4.9M
Gut microbial metabolites and risk of coronary heart disease: a prospective, multiethnic, metabolomic studyR01HL149779 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI YU, DANXIA · 2020 to 2023
$3.3M
The Gut Microbiota in Metabolic Surgery: A Multi-Ethnic, Multi-Omic, Longitudinal StudyR01DK126721 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI YU, DANXIA · 2021 to 2025
$3.1M
Metabolite profiles and the risk of diabetes in AsiansR01DK108159 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GERSZTEN, ROBERT E, SHU, XIAO-OU · 2016 to 2019
$2.6M
Phosphatidylcholine and cholesterol ester biomarkers of type 2 diabetes and preventive treatment effectsK23DK127073 · NIDDK · BETH ISRAEL DEACONESS MEDICAL CENTER · PI CHEN, ZSU-ZSU · 2021 to 2025
$824k
NCI NIH HHS P30 CA008748NCI NIH HHS P30 CA068485NCI NIH HHS UM1 CA173640NCI NIH HHS UM1 CA182910NHLBI NIH HHS R01 HL149779NIDDK NIH HHS K23 DK127073NIDDK NIH HHS R01 DK108159NIDDK NIH HHS R01 DK126721
6 · The paper itself

Abstract

objectiveThe mechanisms linking obesity to type 2 diabetes (T2D) are not fully understood. This study aimed to identify obesity-related metabolomic signatures (MESs) and evaluated their relationships with incident T2D.

methodsIn a nested case-control study of 2076 Chinese adults, 140 plasma metabolites were measured at baseline, linear regression was applied with the least absolute shrinkage and selection operator to identify MESs for BMI and waist circumference (WC), and conditional logistic regression was applied to examine their associations with T2D risk.

resultsA total of 32 metabolites associated with BMI or WC were identified and validated, among which 14 showed positive associations and 3 showed inverse associations with T2D; 8 and 18 metabolites were selected to build MESs for BMI and WC, respectively. Both MESs showed strong linear associations with T2D: odds ratio (95% CI) comparing extreme quartiles was 4.26 (2.00-9.06) for BMI MES and 9.60 (4.22-21.88) for WC MES (both p-trend < 0.001). The MES-T2D associations were particularly evident among individuals with normal WC: odds ratio (95% CI) reached 6.41 (4.11-9.98) for BMI MES and 10.38 (6.36-16.94) for WC MES. Adding MESs to traditional risk factors and plasma glucose improved C statistics from 0.79 to 0.83 (p < 0.001).

conclusionsMultiple obesity-related metabolites and MESs strongly associated with T2D in Chinese adults were identified.

Indexed as

Diabetes Mellitus, Type 2AdultBody Mass IndexCase-Control StudiesHumansObesityRisk FactorsWaist Circumference

Identifiers

PMID36161775
PMCPMC9633360
OpenAlexW4297229815

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.