Evidence map›Paper›PMID 33054244›Full record

ArticleJournal of proteome research2021

Ultrahigh-Resolution Mass Spectrometry-Based Platform for Plasma Metabolomics Applied to Type 2 Diabetes Research.

Yanlong Zhu, Benjamin Wancewicz, Michael Schaid, Timothy N Tiambeng, Kent Wenger, Yutong Jin, Heino Heyman, Christopher J Thompson, Aiko Barsch, Elizabeth D Cox and 4 more

Open access · greenAbstract read
In one paragraph

Article in Journal of proteome research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.3field-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

13 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Observational
  7. Review
  8. Review
  9. Plasma Prostaglandin EMetabolites · 2022
    Article
  10. Article
  11. Article
  12. Human Islet Expression Levels of Prostaglandin EACS pharmacology & translational science · 2021
    Article
  13. Article
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

14 authors at 3 institutions in 2 countries.

Yanlong ZhuDepartment of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, Wisconsin 53705, United States.ORCID 0000-0003-4909-7336
Benjamin WancewiczDepartment of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, Wisconsin 53705, United States.
Michael SchaidDepartment of Medicine, Division of Endocrinology, Diabetes, and Metabolism, University of Wisconsin-Madison, Madison, Wisconsin 53705, United States.
Timothy N TiambengDepartment of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.ORCID 0000-0002-5132-0501
Kent WengerDepartment of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, Wisconsin 53705, United States.
Yutong JinDepartment of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.ORCID 0000-0002-0504-8279
Heino HeymanBruker Daltonics Inc., Billerica, Massachusetts 01821, United States.
Christopher J ThompsonBruker Daltonics Inc., Billerica, Massachusetts 01821, United States.ORCID 0000-0002-3022-3710
Aiko BarschBruker Daltonik GmbH, Bremen 28359, Germany.
Elizabeth D CoxDepartment of Pediatrics, University of Wisconsin-Madison, Madison, Wisconsin 53792, United States.
Dawn B DavisDepartment of Medicine, Division of Endocrinology, Diabetes, and Metabolism, University of Wisconsin-Madison, Madison, Wisconsin 53705, United States.
Allan R BrasierInstitute for Clinical and Translational Research, University of Wisconsin-Madison, Madison, Wisconsin 53705, United States.
Michelle E KimpleDepartment of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, Wisconsin 53705, United States.
Ying GeDepartment of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, Wisconsin 53705, United States.ORCID 0000-0001-5211-6812
University of Wisconsin–Madison · USBruker (United States) · USBruker (Germany) · DE

Funding

University of Wisconsin Institute for Clinical and Translational ResearchUL1TR002373 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI ELIZABETH S BURNSIDE, Allan R. Brasier · 2017 to 2026
$75.9M
Chemistry-Biology Interface Training ProgramT32GM008505 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI BLACKWELL, HELEN E. · 1993 to 2023
$9.8M
Deciphering Myofilament Modifications in Ischemic CardiomyopathyR01HL109810 · NHLBI · UNIVERSITY OF WISCONSIN-MADISON · PI GE, YING · 2013 to 2024
$3.5M
The role of GLP-1 and CCK in the pancreatic islet to promote beta-cell survivalR01DK110324 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI DAVIS, DAWN B · 2016 to 2020
$2.0M
Ultra High Resolution Mass Spectrometer for Biomedical ResearchS10OD018475 · OD · UNIVERSITY OF WISCONSIN-MADISON · PI GE, YING · 2015 to 2015
$2.0M
Graduate Training In Cellular And Molecular Pathogenesis Of Human DiseasesT32GM081061 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI FABRY, ZSUZSANNA · 2010 to 2019
$1.8M
Molecular Mechanisms of Dysfunctional Prostaglandin Signaling in the Beta-CellR01DK102598 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI KIMPLE, MICHELLE E · 2014 to 2018
$1.7M
MASH Explorer, a Comprehensive Software Environment for Top-Down ProteomicsR01GM125085 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI GE, YING · 2018 to 2021
$1.2M
A novel approach integrating proteomics and metabolomics to understand diabetic cardiomyopathyF31HL152647 · NHLBI · UNIVERSITY OF WISCONSIN-MADISON · PI WANCEWICZ, BENJAMIN · 2020 to 2023
$150k
Functional studies of the novel diabetes gene TCF19I01BX004715 · VA · WM S. MIDDLETON MEMORIAL VETERANS HOSP · PI DAVIS, DAWN B · 2019 to 2023
–
G Protein Mediated Mechanisms of Beta Cell Death Dysfunction and Decompensation in DiabetesI01BX003700 · VA · WM S. MIDDLETON MEMORIAL VETERANS HOSP · PI KIMPLE, MICHELLE E · 2018 to 2021
–
BLRD VA I01 BX003700BLRD VA I01 BX004715NCATS NIH HHS UL1 TR002373NHLBI NIH HHS F31 HL152647NHLBI NIH HHS R01 HL109810NIDDK NIH HHS R01 DK102598NIDDK NIH HHS R01 DK110324NIGMS NIH HHS R01 GM125085NIGMS NIH HHS T32 GM008505NIGMS NIH HHS T32 GM081061NIH HHS S10 OD018475
6 · The paper itself

Abstract

Metabolomics-the endpoint of the omics cascade-is increasingly recognized as a preferred method for understanding the ultimate responses of biological systems to stress. Flow injection electrospray (FIE) mass spectrometry (MS) has advantages for untargeted metabolic fingerprinting due to its simplicity and capability for high-throughput screening but requires a high-resolution mass spectrometer to resolve metabolite features. In this study, we developed and validated a high-throughput and highly reproducible metabolomics platform integrating FIE with ultrahigh-resolution Fourier transform ion cyclotron resonance (FTICR) MS for analysis of both polar and nonpolar metabolite features from plasma samples. FIE-FTICR MS enables high-throughput detection of hundreds of metabolite features in a single mass spectrum without a front-end separation step. Using plasma samples from genetically identical obese mice with or without type 2 diabetes (T2D), we validated the intra and intersample reproducibility of our method and its robustness for simultaneously detecting alterations in both polar and nonpolar metabolite features. Only 5 min is needed to acquire an ultra-high resolution mass spectrum in either a positive or negative ionization mode. Approximately 1000 metabolic features were reproducibly detected and annotated in each mouse plasma group. For significantly altered and highly abundant metabolite features, targeted tandem MS (MS/MS) analyses can be applied to confirm their identity. With this integrated platform, we successfully detected over 300 statistically significant metabolic features in T2D mouse plasma as compared to controls and identified new T2D biomarker candidates. This FIE-FTICR MS-based method is of high throughput and highly reproducible with great promise for metabolomics studies toward a better understanding and diagnosis of human diseases.

Indexed as

Diabetes Mellitus, Type 2Tandem Mass SpectrometryAnimalsMetabolomicsMicePlasmaReproducibility of Resultsdiabetesflow injection electrosprayFourier transform ion cyclotron resonance mass spectrometryhigh-throughput platformmetabolite fingerprintingplasma metabolomics

Identifiers

PMID33054244
PMCPMC7775897
OpenAlexW3092938297

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.