Evidence map›Paper›PMID 32437301›Full record

ReviewCirculation research2020

Metabolomics and Proteomics in Type 2 Diabetes.

Zsu-Zsu Chen, Robert E Gerszten

Open access · bronzeAbstract readReview
In one paragraph

Review in Circulation research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 119 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
119citing papers in PubMed, 2 pooled it
7.3field-weighted citation impact, top 2% 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

119 citing papers in PubMed, 2 syntheses or guidelines pooled it, 204 citations in OpenAlex.

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59 more citing papers are in PubMed but not listed here.

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

2 authors at 2 institutions in 1 country.

Zsu-Zsu ChenFrom the Department of Internal Medicine, Division of Endocrinology, Diabetes, and Metabolism (Z.-Z.C.), Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA.
Robert E GersztenCardiovascular Institute (Z.-Z.C., R.E.G.), Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA.
Beth Israel Deaconess Medical Center · USBroad Institute · US

Funding

ROLE OF DIETARY CONSTITUENTS ON GENE EXPRESSION IN INTESTINAL EPITHELIUMP30DK040561 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI Elizabeth Austen Lawson, Takara Leah Stanley · 1994 to 2026
$31.6M
A Biochemical Roadmap of Exercise Signaling - Pilot Project for MoTrPAC ConsortiumU24DK112340 · NIDDK · BROAD INSTITUTE, INC. · PI STEVEN A CARR, Clary B Clish · 2017 to 2026
$16.2M
Metabolomic predictors of insulin resistance and diabetesR01DK081572 · NIDDK · VANDERBILT UNIVERSITY · PI CLISH, CLARY B, GERSZTEN, ROBERT E · 2008 to 2025
$9.3M
Training Program in Cardiovascular ResearchT32HL007374 · NHLBI · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI MITTLEMAN, MURRAY A · 1985 to 2019
$7.9M
Proteomics of Cardiometabolic and Renal Traits in African AmericansR01HL133870 · NHLBI · UNIVERSITY OF MISSISSIPPI MED CTR · PI ROBERT E GERSZTEN · 2017 to 2026
$6.7M
Plasma proteomics in CHS and population biologyR01HL144483 · NHLBI · UNIVERSITY OF WASHINGTON · PI DURDA, JON PETER, GERSZTEN, ROBERT E · 2019 to 2022
$6.0M
Proteomic Pathway Discovery in Cardiovascular DiseaseR01HL132320 · NHLBI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI GERSZTEN, ROBERT E, RAMACHANDRAN, VASAN S · 2016 to 2019
$3.4M
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
NHLBI NIH HHS R01 HL132320NHLBI NIH HHS R01 HL133870NHLBI NIH HHS R01 HL144483NHLBI NIH HHS T32 HL007374NIDDK NIH HHS P30 DK040561NIDDK NIH HHS R01 DK081572NIDDK NIH HHS R01 DK108159NIDDK NIH HHS U24 DK112340
6 · The paper itself

Abstract

The persistent increase in the worldwide burden of type 2 diabetes mellitus (T2D) and the accompanying rise of its complications, including cardiovascular disease, necessitates our understanding of the metabolic disturbances that cause diabetes mellitus. Metabolomics and proteomics, facilitated by recent advances in high-throughput technologies, have given us unprecedented insight into circulating biomarkers of T2D even over a decade before overt disease. These markers may be effective tools for diabetes mellitus screening, diagnosis, and prognosis. As participants of metabolic pathways, metabolite and protein markers may also highlight pathways involved in T2D development. The integration of metabolomics and proteomics with genomics in multiomics strategies provides an analytical method that can begin to decipher causal associations. These methods are not without their limitations; however, with careful study design and sample handling, these methods represent powerful scientific tools that can be leveraged for the study of T2D. In this article, we aim to give a timely overview of circulating metabolomics and proteomics findings with T2D observed in large human population studies to provide the reader with a snapshot into these emerging fields of research.

Indexed as

MetabolomeAnimalsBiomarkersDiabetes Mellitus, Type 2GenomicsHumansProteomeBiomarkersProteomebiomarkerscardiovascular diseasesdiabetes mellitus, type 2metabolomicsproteomics

Identifiers

PMID32437301
PMCPMC11118076
OpenAlexW3027408571

What Socratic 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 Socratic graph.