Evidence map›Paper›PMID 32392884›Full record

ArticleMetabolites2020

MetaboAnalystR 3.0: Toward an Optimized Workflow for Global Metabolomics.

Zhiqiang Pang, Jasmine Chong, Shuzhao Li, Jianguo Xia

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 318 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
318citing papers in PubMed, 2 pooled it
33.5field-weighted citation impact, top 1% 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

318 citing papers in PubMed, 2 syntheses or guidelines pooled it, 569 citations in OpenAlex.

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  5. Longitudinal untargeted metabolomics of cognitive impairment in Parkinson's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
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258 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

4 authors at 2 institutions in 2 countries.

Zhiqiang PangInstitute of Parasitology, McGill University, 21111 Lakeshore Road, Ste Anne de Bellevue, Quebec, H9X 3V9, Canada.
Jasmine ChongInstitute of Parasitology, McGill University, 21111 Lakeshore Road, Ste Anne de Bellevue, Quebec, H9X 3V9, Canada.
Shuzhao LiThe Jackson Laboratory for Genomic Medicine, 10 Discovery Drive, Farmington, CT 06032, Canada.
Jianguo XiaInstitute of Parasitology, McGill University, 21111 Lakeshore Road, Ste Anne de Bellevue, Quebec, H9X 3V9, Canada.
McGill University · CAJackson Laboratory · US

Funding

Mummichog 3, aligning mass spectrometry data to biological networks - Neutral LossU01CA235493 · NCI · JACKSON LABORATORY · PI LI, SHUZHAO, SIUZDAK, GARY E · 2018 to 2021
$2.0M
Genome Canada, Génome Québec, US National Institutes of Health (U01 CA235493), Natural Sciences and Engineering Research Council of Canada (NSERC), and Canada Research Chairs (CRC) Program N/ANCI NIH HHS U01 CA235493
6 · The paper itself

Abstract

Liquid chromatography coupled to high-resolution mass spectrometry platforms are increasingly employed to comprehensively measure metabolome changes in systems biology and complex diseases. Over the past decade, several powerful computational pipelines have been developed for spectral processing, annotation, and analysis. However, significant obstacles remain with regard to parameter settings, computational efficiencies, batch effects, and functional interpretations. Here, we introduce MetaboAnalystR 3.0, a significantly improved pipeline with three key new features: (1) efficient parameter optimization for peak picking; (2) automated batch effect correction; and 3) more accurate pathway activity prediction. Our benchmark studies showed that this workflow was 20~100X faster compared to other well-established workflows and produced more biologically meaningful results. In summary, MetaboAnalystR 3.0 offers an efficient pipeline to support high-throughput global metabolomics in the open-source R environment.

Indexed as

batch effectsglobal metabolomicspathway activity predictionpeak detection

Identifiers

PMID32392884
PMCPMC7281575
OpenAlexW3022658502

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.