Evidence map›Paper›PMID 32831436›Full record

ArticleTrends in analytical chemistry : TRAC2019

Mass Spectrometry-Based Non-targeted Metabolic Profiling for Disease Detection: Recent Developments.

Xiaoling Zang, María Eugenia Monge, Facundo M Fernández

Abstract read
In one paragraph

Article in Trends in analytical chemistry : TRAC, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
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

17 citing papers in PubMed.

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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

3 authors.

Xiaoling ZangSchool of Chemistry and Biochemistry, Georgia Institute of Technology and Petit Institute for Biochemistry and Bioscience, Atlanta, Georgia 30332, United States.
María Eugenia MongeCentro de Investigaciones en Bionanociencias (CIBION), Consejo Nacional de Investigaciones Cientificas y Tecnicas (CONICET), Godoy Cruz 2390, C1425FQD, Ciudad de Buenos Aires, Argentina.
Facundo M FernándezSchool of Chemistry and Biochemistry, Georgia Institute of Technology and Petit Institute for Biochemistry and Bioscience, Atlanta, Georgia 30332, United States.

Funding

Georgia Comprehensive Metabolomics and Proteomics Unit for MoTrPACU24DK112341 · NIDDK · EMORY UNIVERSITY · PI FERNANDEZ, FACUNDO MARTIN, ORTLUND, ERIC A · 2017 to 2025
$8.1M
Deep Ovarian Cancer MetabolomicsR01CA218664 · NCI · GEORGIA INSTITUTE OF TECHNOLOGY · PI Facundo Martin Fernandez, Jaeyeon Kim · 2018 to 2026
$4.3M
Portal for Open Computational Metabolomics Tools - Yr 4 U2C SupplementU2CES030167 · NIEHS · UNIVERSITY OF GEORGIA · PI EDISON, ARTHUR S · 2018 to 2021
$4.2M
NCI NIH HHS R01 CA218664NIDDK NIH HHS U24 DK112341NIEHS NIH HHS U2C ES030167
6 · The paper itself

Abstract

Mass spectrometry (MS) plays an important role in seeking biomarkers for disease detection. High-quality quantitative data is needed for accurate analysis of metabolic perturbations in patients. This article describes recent developments in MS-based non-targeted metabolomics research with applications to the detection of several major common human diseases, focusing on study cohorts, MS platforms utilized, statistical analyses and discriminant metabolite identification. Potential disease biomarkers recently discovered for type 2 diabetes, cardiovascular disease, hepatocellular carcinoma, breast cancer and prostate cancer through metabolomics are summarized, and limitations are discussed.

Indexed as

data analysisDisease biomarkersmass spectrometrynon-targeted metabolomics

Identifiers

PMID32831436
PMCPMC7430701

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Registered trials

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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.