Evidence map›Paper›PMID 36676977›Full record

ArticleMetabolites2022

Patients with Bacterial Sepsis Are Heterogeneous with Regard to Their Systemic Lipidomic Profiles.

Knut Anders Mosevoll, Bent Are Hansen, Ingunn Margareetta Gundersen, Håkon Reikvam, Øyvind Bruserud, Øystein Bruserud, Øystein Wendelbo

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 30% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Clinical lipidomics in bacterial sepsis: a systematic review of serum and plasma evaluations.Metabolomics : Official journal of the Metabolomic Society · 2026
    Pooled it
  2. Article
  3. Article
  4. Observational
  5. Article
  6. Review
  7. 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

7 authors at 2 institutions in 1 country.

Knut Anders MosevollSection for Infectious Diseases, Department of Medicine, Haukeland University Hospital, 5021 Bergen, Norway.ORCID 0000-0002-4248-3325
Bent Are HansenDepartment of Medicine, Central Hospital for Sogn and Fjordane, 6812 Førde, Norway.ORCID 0000-0002-1690-1941
Ingunn Margareetta GundersenSection for Infectious Diseases, Department of Medicine, Haukeland University Hospital, 5021 Bergen, Norway.
Håkon ReikvamSection for Hematology, Department of Medicine, Haukeland University Hospital, 5021 Bergen, Norway.ORCID 0000-0001-5439-8411
Øyvind BruserudDepartment for Anesthesiology and Intensive Care, Haukeland University Hospital, 5021 Bergen, Norway.
Øystein BruserudSection for Hematology, Department of Medicine, Haukeland University Hospital, 5021 Bergen, Norway.
Øystein WendelboSection for Infectious Diseases, Department of Medicine, Haukeland University Hospital, 5021 Bergen, Norway.
Haukeland University Hospital · NOHelse Førde · NO

Funding

Norwegian Research Centre NordForsk project number 90456; ERA PerMed project 2018-151, PerMITSwedish Research Council Project number 2018-02475
6 · The paper itself

Abstract

Sepsis is defined as life-threatening organ dysfunction caused by a dysregulated host response to infection. In the present study, we investigated the systemic/serum lipidomic profile at the time of hospital admission for patients with bacterial sepsis. The study included 60 patients; 35 patients fulfilled the most recent 2016 Sepsis-3 criteria (referred to as Sepsis-3) whereas the remaining 25 patients had sepsis only according to the previous Sepsis-2 definition and could be classified as having Systemic Inflammatory Response Syndrome (SIRS). A total of 966 lipid metabolites were identified. Patients fulfilling the Sepsis-3 criteria differed from the Sepsis-2 patients with regard to only 15 lipid metabolites, and especially sphingolipids metabolism differed between these patient subsets. A total of only 43 metabolites differed between patients with and without bacteremia, including 12 lysophosphatidylcholines and 18 triacylglycerols (15 C18/C20 fatty acid metabolites decreased and three C14 myristate acid metabolites that were increased in bacteremia). Unsupervised hierarchical clustering analyses based on the identified sphingolipids, phosphatidylcholine and triacylglycerols showed that (i) the majority of Sepsis-3 patients differed from SIRS patients especially with regard to lysophosphatidylcholine levels; (ii) the minority of Sepsis-3 patients that clustered together with the majority of SIRS patients showed lower Sequential Organ Failure Assessment (SOFA) scores than the other Sepsis-3 patients; and (iii) the variation between the patients in the identified/altered sphingolipid and triacylglycerol metabolites further increased the heterogeneity of Sepsis-3 patients with regard to their systemic lipidomic profile at the time of diagnosis. To conclude, patients fulfilling the Sepsis-3 criteria differ with regard to their metabolic profile, and this variation depends on disease severity.

Indexed as

bacterialipidmetabolismmetabolomics profilepatient heterogeneitysepsis

Identifiers

PMID36676977
PMCPMC9864715
OpenAlexW4313361211

What OpenQuestion holds

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LicenceCC BY
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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.