Evidence map›Paper›PMID 36465551›Full record

ArticleJACS Au2022

Integrated Exposomics/Metabolomics for Rapid Exposure and Effect Analyses.

Mira Flasch, Veronika Fitz, Evelyn Rampler, Chibundu N Ezekiel, Gunda Koellensperger, Benedikt Warth

Open access · goldAbstract read
In one paragraph

Article in JACS Au, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

18 citing papers in PubMed, 31 citations in OpenAlex.

  1. Review
  2. Article
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  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Modular, Scalable, and Customizable LC-HRMS for Exposomics.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  13. Article
  14. Review
  15. Review
  16. Article
  17. Exploring Single-Cell Exposomics by Mass Spectrometry.Environmental science & technology · 2023
    Review
  18. Article
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

6 authors at 2 institutions in 2 countries.

Mira FlaschFaculty of Chemistry, Department of Food Chemistry and Toxicology, University of Vienna, Währinger Straße 38-40, 1090 Vienna, Austria.ORCID https://orcid.org/0000-0002-3518-3885
Veronika FitzVienna Doctoral School of Chemistry, University of Vienna, Währinger Straße 42, 1090 Vienna, Austria.
Evelyn RamplerFaculty of Chemistry, Department of Analytical Chemistry, University of Vienna, Währinger Straße 38-40, 1090 Vienna, Austria.ORCID https://orcid.org/0000-0002-9429-7663
Chibundu N EzekielDepartment of Microbiology, Babcock University, 121103 Ilishan Remo, Ogun State, Nigeria.ORCID https://orcid.org/0000-0002-2113-2948
Gunda KoellenspergerFaculty of Chemistry, Department of Analytical Chemistry, University of Vienna, Währinger Straße 38-40, 1090 Vienna, Austria.ORCID https://orcid.org/0000-0002-1460-4919
Benedikt WarthFaculty of Chemistry, Department of Food Chemistry and Toxicology, University of Vienna, Währinger Straße 38-40, 1090 Vienna, Austria.ORCID https://orcid.org/0000-0002-6104-0706
University of Vienna · ATBabcock University · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The totality of environmental exposures and lifestyle factors, commonly referred to as the exposome, is poorly understood. Measuring the myriad of chemicals that humans are exposed to is immensely challenging, and identifying disrupted metabolic pathways is even more complex. Here, we present a novel technological approach for the comprehensive, rapid, and integrated analysis of the endogenous human metabolome and the chemical exposome. By combining reverse-phase and hydrophilic interaction liquid chromatography (HILIC) and fast polarity-switching, molecules with highly diverse chemical structures can be analyzed in 15 min with a single analytical run as both column's effluents are combined before analysis. Standard reference materials and authentic standards were evaluated to critically benchmark performance. Highly sensitive median limits of detection (LODs) with 0.04 μM for >140 quantitatively assessed endogenous metabolites and 0.08 ng/mL for the >100 model xenobiotics and human estrogens in solvent were obtained. In matrix, the median LOD values were higher with 0.7 ng/mL (urine) and 0.5 ng/mL (plasma) for exogenous chemicals. To prove the dual-column approach's applicability, real-life urine samples from sub-Saharan Africa (high-exposure scenario) and Europe (low-exposure scenario) were assessed in a targeted and nontargeted manner. Our liquid chromatography high-resolution mass spectrometry (LC-HRMS) approach demonstrates the feasibility of quantitatively and simultaneously assessing the endogenous metabolome and the chemical exposome for the high-throughput measurement of environmental drivers of diseases.

Identifiers

PMID36465551
PMCPMC9709941
OpenAlexW4308439589

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.