Evidence map›Paper›PMID 35715522›Full record

ReviewNature protocols2022

Using MetaboAnalyst 5.0 for LC-HRMS spectra processing, multi-omics integration and covariate adjustment of global metabolomics data.

Zhiqiang Pang, Guangyan Zhou, Jessica Ewald, Le Chang, Orcun Hacariz, Niladri Basu, Jianguo Xia

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature protocols, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 716 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
716citing papers in PubMed, 1 pooled it
–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

716 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  13. Urinary metabolomic signatures of muscle injury and recovery in elite football players.Metabolomics : Official journal of the Metabolomic Society · 2026
    Observational
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  17. DietaryAnimals : an open access journal from MDPI · 2026
    Article
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656 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

7 authors.

Zhiqiang PangInstitute of Parasitology, McGill University, Montreal, Quebec, Canada.
Guangyan ZhouInstitute of Parasitology, McGill University, Montreal, Quebec, Canada.
Jessica EwaldDepartment of Natural Resources Sciences, McGill University, Montreal, Quebec, Canada.ORCID 0000-0002-7555-736X
Le ChangDepartment of Human Genetics, McGill University, Montreal, Quebec, Canada.ORCID 0000-0002-0966-7923
Orcun HacarizInstitute of Parasitology, McGill University, Montreal, Quebec, Canada.
Niladri BasuDepartment of Natural Resources Sciences, McGill University, Montreal, Quebec, Canada.
Jianguo XiaInstitute of Parasitology, McGill University, Montreal, Quebec, Canada. jeff.xia@mcgill.ca.ORCID 0000-0003-2040-2624

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
6 · The paper itself

Abstract

Liquid chromatography coupled with high-resolution mass spectrometry (LC-HRMS) has become a workhorse in global metabolomics studies with growing applications across biomedical and environmental sciences. However, outstanding bioinformatics challenges in terms of data processing, statistical analysis and functional interpretation remain critical barriers to the wider adoption of this technology. To help the user community overcome these barriers, we have made major updates to the well-established MetaboAnalyst platform ( www.metaboanalyst.ca ). This protocol extends the previous 2011 Nature Protocol by providing stepwise instructions on how to use MetaboAnalyst 5.0 to: optimize parameters for LC-HRMS spectra processing; obtain functional insights from peak list data; integrate metabolomics data with transcriptomics data or combine multiple metabolomics datasets; conduct exploratory statistical analysis with complex metadata. Parameter optimization may take ~2 h to complete depending on the server load, and the remaining three stages may be executed in ~60 min.

Indexed as

MetabolomicsSoftwareChromatography, LiquidComputational BiologyMass Spectrometry

Identifiers

What OpenQuestion holds

Textmetadata
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.