Evidence map›Paper›PMID 33437767›Full record

ArticleAnnals of translational medicine2020

Exploring plasma metabolomic changes in sepsis: a clinical matching study based on gas chromatography-mass spectrometry.

Shi-Hui Lin, Jing Fan, Jing Zhu, Yi-Si Zhao, Chuan-Jiang Wang, Mu Zhang, Fang Xu

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.2field-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

21 citing papers in PubMed, 36 citations in OpenAlex.

  1. Trial
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  5. Omics-based integrative analysis of sepsis-induced myocardial dysfunction.The Journal of international medical research · 2025
    Article
  6. Article
  7. Review
  8. Article
  9. Utilizing omics technologies in the investigation of sepsis-induced cardiomyopathy.International journal of cardiology. Heart & vasculature · 2024
    Review
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  11. Article
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  13. Article
  14. Review
  15. Review
  16. Article
  17. Observational
  18. Exploring the Muscle Metabolomics in the Mouse Model of Sepsis-Induced Acquired Weakness.Evidence-based complementary and alternative medicine : eCAM · 2022
    Article
  19. Article
  20. Review
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 at 2 institutions in 1 country.

Shi-Hui LinDepartment of Critical Care Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Jing FanDepartment of Critical Care Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Jing ZhuDepartment of Critical Care Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Yi-Si ZhaoDepartment of Critical Care Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Chuan-Jiang WangDepartment of Critical Care Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Mu ZhangDepartment of Critical Care Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Fang XuDepartment of Critical Care Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
First Affiliated Hospital of Chongqing Medical University · CNChongqing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSepsis is a deleterious systemic inflammatory response to infection, and despite advances in treatment, the mortality rate remains high. We hypothesized that plasma metabolism could clarify sepsis in patients complicated by organ dysfunction.

methodsPlasma samples from 31 patients with sepsis and 23 healthy individuals of comparable age, gender, and body mass index (BMI) were collected. Plasma metabolites were detected through gas chromatography-mass spectrometry (GC-MS), and relevant metabolic pathways were predicted using the Kyoto Encyclopedia of Genes and Genomics (KEGG) pathway database. Student's

resultsA total of 222 metabolites were detected, which included 124 metabolites with statistical significance between the sepsis and control groups. Among these, we found 26 were fatty acids, including 3 branched fatty acids, 10 were saturated fatty acids, and 13 were unsaturated fatty acids that were found in sepsis plasma samples but not in the controls. In addition, 158 metabolic pathways were predicted, 74 of which were significant. Further subgroup analysis identified seven metabolites in acute kidney injury (AKI), three metabolites in acute respiratory distress syndrome (ARDS), seven metabolites in sepsis-induced myocardial dysfunction (SIMD), and four metabolites in acute hepatic ischemia (AHI) that were significantly different. The results showed that the sepsis samples exhibited extensive changes in amino acids, fatty acids, and tricarboxylic acid (TCA)-cycle products. In addition, three metabolic pathways-namely, energy metabolism, amino acid metabolism, and lipid metabolism-were downregulated in sepsis patients.

conclusionsThe downregulated energy, amino acid, and lipid metabolism found in our study may serve as a novel clinical marker for the dysregulated internal environment, particularly involving energy metabolism, which results in sepsis.

Indexed as

gas chromatography–mass spectrometry (GC–MS)matching studymultiple organ dysfunctionsPlasma metabolic profilingsepsis

Identifiers

PMID33437767
PMCPMC7791264
OpenAlexW3113099471

What OpenQuestion holds

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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.