Evidence map›Paper›PMID 33674789›Full record

ArticleNature protocols2021

The maternal serum metabolome by multisegment injection-capillary electrophoresis-mass spectrometry: a high-throughput platform and standardized data workflow for large-scale epidemiological studies.

Meera Shanmuganathan, Zachary Kroezen, Biban Gill, Sandi Azab, Russell J de Souza, Koon K Teo, Stephanie Atkinson, Padmaja Subbarao, Dipika Desai, Sonia S Anand and 1 more

Erratum issuedAbstract read
PubMed Publisher
In one paragraph

Article in Nature protocols, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
4.8field-weighted citation impact, top 4% 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

28 citing papers in PubMed, 67 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Machine learning-empoweredChemical science · 2023
    Article
  18. Article
  19. Article
  20. [Annual review of capillary electrophoresis technology in 2021].Se pu = Chinese journal of chromatography · 2022
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 1 country.

Meera ShanmuganathanDepartment of Chemistry and Chemical Biology, McMaster University, Hamilton, Ontario, Canada.ORCID http://orcid.org/0000-0001-9446-6749
Zachary KroezenDepartment of Chemistry and Chemical Biology, McMaster University, Hamilton, Ontario, Canada.ORCID http://orcid.org/0000-0001-9415-7604
Biban GillDepartment of Chemistry and Chemical Biology, McMaster University, Hamilton, Ontario, Canada.
Sandi AzabDepartment of Chemistry and Chemical Biology, McMaster University, Hamilton, Ontario, Canada.ORCID http://orcid.org/0000-0001-5348-1854
Russell J de SouzaDepartment of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada.ORCID http://orcid.org/0000-0001-8945-513X
Koon K TeoDepartment of Medicine, McMaster University, Hamilton, Ontario, Canada.
Stephanie AtkinsonDepartment of Pediatrics, McMaster University, Hamilton, Ontario, Canada.ORCID http://orcid.org/0000-0002-5680-7546
Padmaja SubbaraoDepartment of Pediatrics, University of Toronto, Toronto, Ontario, Canada.
Dipika DesaiDepartment of Medicine, McMaster University, Hamilton, Ontario, Canada.
Sonia S AnandDepartment of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada.
Philip Britz-McKibbinDepartment of Chemistry and Chemical Biology, McMaster University, Hamilton, Ontario, Canada. britz@mcmaster.ca.
McMaster University · CAPopulation Health Research Institute · CAUniversity of Toronto · CA

Funding

CIHR 201511
6 · The paper itself

Abstract

A standardized data workflow is described for large-scale serum metabolomic studies using multisegment injection-capillary electrophoresis-mass spectrometry. Multiplexed separations increase throughput (<4 min/sample) for quantitative determination of 66 polar/ionic metabolites in serum filtrates consistently detected (coefficient of variance (CV) <30%) with high frequency (>75%) from a multi-ethnic cohort of pregnant women (n = 1,004). We outline a validated protocol implemented in four batches over a 7-month period that includes details on preventive maintenance, sample workup, data preprocessing and metabolite authentication. We achieve stringent quality control (QC) and robust batch correction of long-term signal drift with good mutual agreement for a wide range of metabolites, including serum glucose as compared to a clinical chemistry analyzer (mean bias = 11%, n = 668). Control charts for a recovery standard (mean CV = 12%, n = 2,412) and serum metabolites in QC samples (median CV = 13%, n = 202) demonstrate acceptable intermediate precision with a median intraclass coefficient of 0.87. We also report reference intervals for 53 serum metabolites from a diverse population of women in their second trimester of pregnancy.

Indexed as

Epidemiologic StudiesMetabolomeBlood GlucoseCalibrationCanadaCohort StudiesElectrophoresis, CapillaryFastingFemaleHigh-Throughput Screening AssaysHumansIonsMass SpectrometryMetabolomicsPregnancyPrincipal Component AnalysisBlood GlucoseIons

Identifiers

PMID33674789
OpenAlexW3135523943

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.