Evidence map›Paper›PMID 35802586›Full record

Observational studyPloS one2022

Identifying potential biomarkers and therapeutic targets for dogs with sepsis using metabolomics and lipidomics analyses.

Brett Montague, April Summers, Ruchika Bhawal, Elizabeth T Anderson, Sydney Kraus-Malett, Sheng Zhang, Robert Goggs

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 11% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Septic Shock and Prognosis in Dogs and Cats With Sepsis-Consensus Definition and Clinical Criteria.Journal of veterinary emergency and critical care (San Antonio, Tex. : 2001)
    Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Regulatory Effects ofFoods (Basel, Switzerland) · 2023
    Article
  9. Review
  10. Omics Technologies in Veterinary Medicine: Literature Review and Perspectives in Transfusion Medicine.Transfusion medicine and hemotherapy : offizielles Organ der Deutschen Gesellschaft fur Transfusionsmedizin und Immunhamatologie · 2023
    Review
  11. Review
  12. 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 1 institution in 1 country.

Brett MontagueDepartment of Clinical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, New York, United States of America.ORCID 0000-0001-8329-470X
April SummersDepartment of Clinical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, New York, United States of America.
Ruchika BhawalProteomics and Metabolomics Facility, Cornell University, Ithaca, New York, United States of America.
Elizabeth T AndersonProteomics and Metabolomics Facility, Cornell University, Ithaca, New York, United States of America.
Sydney Kraus-MalettDepartment of Clinical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, New York, United States of America.
Sheng ZhangProteomics and Metabolomics Facility, Cornell University, Ithaca, New York, United States of America.
Robert GoggsDepartment of Clinical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, New York, United States of America.ORCID 0000-0001-7446-6987
Cornell University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sepsis is a diagnostic and therapeutic challenge and is associated with morbidity and a high risk of death. Metabolomic and lipidomic profiling in sepsis can identify alterations in metabolism and might provide useful insights into the dysregulated host response to infection, but investigations in dogs are limited. We aimed to use untargeted metabolomics and lipidomics to characterize metabolic pathways in dogs with sepsis to identify therapeutic targets and potential diagnostic and prognostic biomarkers. In this prospective observational cohort study, we examined the plasma metabolomes and lipidomes of 20 healthy control dogs and compared them with those of 21 client-owned dogs with sepsis. Patient data including signalment, physical exam findings, clinicopathologic data and clinical outcome were recorded. Metabolites were identified using an untargeted mass spectrometry approach and pathway analysis identified multiple enriched metabolic pathways including pyruvaldehyde degradation; ketone body metabolism; the glucose-alanine cycle; vitamin-K metabolism; arginine and betaine metabolism; the biosynthesis of various amino acid classes including the aromatic amino acids; branched chain amino acids; and metabolism of glutamine/glutamate and the glycerophospholipid phosphatidylethanolamine. Metabolites were identified with high discriminant abilities between groups which could serve as potential biomarkers of sepsis including 13,14-Dihydro-15-keto Prostaglandin A2; 12(13)-DiHOME (12,13-dihydroxy-9Z-octadecenoic acid); and 9-HpODE (9-Hydroxyoctadecadienoic acid). Metabolites with higher abundance in samples from nonsurvivors than survivors included 3-(2-hydroxyethyl) indole, indoxyl sulfate and xanthurenic acid. Untargeted lipidomic profiling revealed multiple sphingomyelin species (SM(d34:0)+H; SM(d36:0)+H; SM(d34:0)+HCOO; and SM(d34:1D3)+HCOO); lysophosphatidylcholine molecules (LPC(18:2)+H) and lipophosphoserine molecules (LPS(20:4)+H) that were discriminating for dogs with sepsis. These biomarkers could aid in the diagnosis of dogs with sepsis, provide prognostic information, or act as potential therapeutic targets.

Indexed as

LipidomicsSepsisAnimalsBiomarkersDogsHumansMetabolomicsProspective StudiesBiomarkers

Identifiers

PMID35802586
PMCPMC9269464
OpenAlexW4284972474

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.