Evidence map›Paper›PMID 30706660›Full record

ArticleProteomics2019

Plasma Proteome Signature of Sepsis: a Functionally Connected Protein Network.

Genaro Pimienta, Douglas M Heithoff, Alexandre Rosa-Campos, Minerva Tran, Jeffrey D Esko, Michael J Mahan, Jamey D Marth, Jeffrey W Smith

Abstract read
In one paragraph

Article in Proteomics, 2019. 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
2.1field-weighted citation impact, top 14% 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, 30 citations in OpenAlex.

  1. Article
  2. Plasma proteomics identifies molecular subtypes in sepsis.Critical care (London, England) · 2025
    Article
  3. Diagnosing Sepsis Through Proteomic Insights: Findings from a Prospective ICU Cohort.medRxiv : the preprint server for health sciences · 2025
    Article
  4. Article
  5. Identification of CD38Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. The diagnostic value of next-generation sequencing technology in sepsis.Frontiers in cellular and infection microbiology · 2022
    Article
  14. Review
  15. Article
  16. Review
  17. The plasma peptides of sepsis.Clinical proteomics · 2020
    Article
  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

8 authors at 4 institutions in 1 country.

Genaro PimientaCancer Metabolism and Signaling Networks Program, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA, 9207, USA.
Douglas M HeithoffDepartment of Molecular, Cellular, and Developmental Biology, University of California, Santa Barbara, CA, 93106, USA.
Alexandre Rosa-CamposProteomics Facility, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA, 92037, USA.
Minerva TranCancer Metabolism and Signaling Networks Program, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA, 9207, USA.
Jeffrey D EskoDepartment of Cellular and Molecular Medicine, Glycobiology Research and Training Center, University of California, San Diego, La Jolla, CA, 92093, USA.
Michael J MahanDepartment of Molecular, Cellular, and Developmental Biology, University of California, Santa Barbara, CA, 93106, USA.
Jamey D MarthCancer Metabolism and Signaling Networks Program, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA, 9207, USA.
Jeffrey W SmithCancer Metabolism and Signaling Networks Program, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA, 9207, USA.
Discovery Institute · USSanford Burnham Prebys Medical Discovery Institute · USUniversity of California, Santa Barbara · USUniversity of California, San Diego · US

Funding

Protein Glycosylation in the Coagulopathy and Inflammation of SepsisP01HL131474 · NHLBI · SANFORD BURNHAM PREBYS MEDICAL DISCOVERY INSTITUTE · PI ESKO, JEFFREY D · 2016 to 2025
$26.2M
GLYCOSYLTRANSFERASE FUNCTION IN DEVELOPMENT AND DISEASER01DK048247 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI JAMEY MARTH · 1994 to 2026
$9.4M
Glycoprotein Remodeling in the Vasculopathy and Coagulopathy of SepsisR01HL125352 · NHLBI · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI MARTH, JAMEY, NIZET, VICTOR · 2014 to 2018
$3.6M
NHLBI NIH HHS P01 HL131474NHLBI NIH HHS R01 HL125352NIDDK NIH HHS R01 DK048247NIH HHS
6 · The paper itself

Abstract

Sepsis is an extreme host response to infection that leads to loss of organ function and cardiovascular integrity. Mortality from sepsis is on the rise. Despite more than three decades of research and clinical trials, specific diagnostic and therapeutic strategies for sepsis are still absent. The use of LFQ- and TMT-based quantitative proteomics is reported here to study the plasma proteome in five mouse models of sepsis. A knowledge-based interpretation of the data reveals a protein network with extensive connectivity through documented functional or physical interactions. The individual proteins in the network all have a documented role in sepsis and are known to be extracellular. The changes in protein abundance observed in the mouse models of sepsis have for the most part the same directionality (increased or decreased abundance) as reported in the literature for human sepsis. This network has been named the Plasma Proteome Signature of Sepsis (PPSS). The PPSS is a quantifiable molecular readout that can supplant the current symptom-based approach used to diagnose sepsis. This type of molecular interpretation of sepsis, its progression, and its response to therapeutic intervention are an important step in advancing our understanding of sepsis, and for discovering and evaluating new therapeutic strategies.

Indexed as

Protein Interaction MapsAnimalsBlood ProteinsFemaleMaleMiceProtein Interaction MappingProteomeProteomicsSepsisTandem Mass SpectrometryBlood ProteinsProteomelabel-free quantificationmouse modelsplasma proteomicsprotein networkssepsis

Identifiers

PMID30706660
PMCPMC6447370
OpenAlexW2911835605

What OpenQuestion holds

Textmetadata
LicenceTDM
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.