Evidence map›Paper›PMID 34337162›Full record

ArticleCommunications chemistry2020

Untargeted high-resolution paired mass distance data mining for retrieving general chemical relationships.

Miao Yu, Lauren Petrick

Erratum issuedAbstract read
In one paragraph

Article in Communications chemistry, 2020. 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 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Review
  3. Molecular Reactivity in Maternal Pregnancy Blood and Neonatal Dried Blood Spots Is Associated with the Risk of Pediatric Acute Lymphoblastic Leukemia.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. ACS environmental Au · 2022
    Review
  10. Review
  11. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Miao YuDepartment of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.ORCID 0000-0002-2804-6014
Lauren PetrickDepartment of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.ORCID 0000-0003-3493-7419

Funding

The Mount Sinai Transdisciplinary Center on Early Environmental ExposuresP30ES023515 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Robert O Wright · 2014 to 2026
$21.3M
Untargeted Analysis ResourceU2CES030859 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI ARORA, MANISH · 2019 to 2025
$8.2M
Environmental chemical mixtures and metabolomics in autism spectrum disorderR01ES031117 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI PETRICK, LAUREN · 2020 to 2024
$3.3M
Reconstructing early life environmental exposures using tooth biomarkers and their influence on the trajectory of the oral microbiome and oral health in childhoodR01DE029838 · NIDCR · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI ADLER, CHRISTINA JANE, PETRICK, LAUREN · 2020 to 2024
$3.3M
Discovery of early life causes of autism spectrum disorder through retrospective metabolomics and proteome analysis of teethR21ES030882 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI ANDRA, SYAM S, PETRICK, LAUREN · 2019 to 2020
$466k
NIDCR NIH HHS R01 DE029838NIEHS NIH HHS P30 ES023515NIEHS NIH HHS R01 ES031117NIEHS NIH HHS R21 ES030882NIEHS NIH HHS U2C ES030859
6 · The paper itself

Abstract

Untargeted metabolomics analysis captures chemical reactions among small molecules. Common mass spectrometry-based metabolomics workflows first identify the small molecules significantly associated with the outcome of interest, then begin exploring their biochemical relationships to understand biological fate or impact. We suggest an alternative by which general chemical relationships including abiotic reactions can be directly retrieved through untargeted high-resolution paired mass distance (PMD) analysis without a priori knowledge of the identities of participating compounds. PMDs calculated from the mass spectrometry data are linked to chemical reactions obtained via data mining of small molecule and reaction databases, i.e. 'PMD-based reactomics'. We demonstrate applications of PMD-based reactomics including PMD network analysis, source appointment of unknown compounds, and biomarker reaction discovery as complements to compound discovery analyses used in traditional untargeted workflows. An R implementation of reactomics analysis and the reaction/PMD databases is available as the pmd package.

Identifiers

PMID34337162
PMCPMC8320691

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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.