Evidence map›Paper›PMID 29095932›Full record

ArticlePloS one2017

Metabolomics based predictive biomarker model of ARDS: A systemic measure of clinical hypoxemia.

Akhila Viswan, Chandan Singh, Ratan Kumar Rai, Afzal Azim, Neeraj Sinha, Arvind Kumar Baronia

Erratum issuedOpen access · goldAbstract readValidation Study
In one paragraph

Article in PloS one, 2017. 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 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

34 citing papers in PubMed, 53 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. A human airway-on-a-chip microphysiological system for modeling chlorine gas toxicity.Toxicological sciences : an official journal of the Society of Toxicology · 2026
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  6. Review
  7. Article
  8. Review
  9. Metabolic signatures of acute respiratory distress syndrome: COVID versus non-COVID.American journal of physiology. Lung cellular and molecular physiology · 2024
    Review
  10. Review
  11. Review
  12. Review
  13. Article
  14. Article
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  16. Article
  17. Article
  18. Review
  19. Metabolic signatures of ARDS and ARDS heterogeneity.American journal of physiology. Lung cellular and molecular physiology · 2021
    Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Akhila ViswanCentre of Biomedical Research, Lucknow, Uttar Pradesh, India.
Chandan SinghCentre of Biomedical Research, Lucknow, Uttar Pradesh, India.
Ratan Kumar RaiCentre of Biomedical Research, Lucknow, Uttar Pradesh, India.
Afzal AzimDepartment of Critical Care Medicine, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, India.
Neeraj SinhaCentre of Biomedical Research, Lucknow, Uttar Pradesh, India.ORCID 0000-0003-3235-6127
Arvind Kumar BaroniaDepartment of Critical Care Medicine, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, India.
Centre of Biomedical Research · INSanjay Gandhi Post Graduate Institute of Medical Sciences · INDr. A.P.J. Abdul Kalam Technical University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite advancements in ventilator technologies, lung supportive and rescue therapies, the outcome and prognostication in acute respiratory distress syndrome (ARDS) remains incremental and ambiguous. Metabolomics is a potential insightful measure to the diagnostic approaches practiced in critical disease settings. In our study patients diagnosed with mild and moderate/severe ARDS clinically governed by hypoxemic P/F ratio between 100-300 but with indistinct molecular phenotype were discriminated employing nuclear magnetic resonance (NMR) based metabolomics of mini bronchoalveolar lavage fluid (mBALF). Resulting biomarker prototype comprising six metabolites was substantiated highlighting ARDS susceptibility/recovery. Both the groups (mild and moderate/severe ARDS) showed distinct biochemical profile based on 83.3% classification by discriminant function analysis and cross validated accuracy of 91% using partial least squares discriminant analysis as major classifier. The predictive performance of narrowed down six metabolites were found analogous with chemometrics. The proposed biomarker model consisting of six metabolites proline, lysine/arginine, taurine, threonine and glutamate were found characteristic of ARDS sub-stages with aberrant metabolism observed mainly in arginine, proline metabolism, lysine synthesis and so forth correlating to diseased metabotype. Thus NMR based metabolomics has provided new insight into ARDS sub-stages and conclusively a precise biomarker model proposed, reflecting underlying metabolic dysfunction aiding prior clinical decision making.

Indexed as

MetabolomicsAdultBiomarkersFemaleHumansHypoxiaMaleMiddle AgedRespiratory Distress SyndromeBiomarkers

Identifiers

PMID29095932
PMCPMC5667881
OpenAlexW2765349573

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.