Evidence map›Paper›PMID 27252846›Full record

ArticlePulmonary circulation2016

Reactive oxygen species-associated molecular signature predicts survival in patients with sepsis.

Christian Bime, Tong Zhou, Ting Wang, Marvin J Slepian, Joe G N Garcia, Louise Hecker

Open access · bronzeAbstract read
In one paragraph

Article in Pulmonary circulation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

19 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Observational
  6. Review
  7. An eNAMPT-neutralizing mAb reduces post-infarct myocardial fibrosis and left ventricular dysfunction.Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · 2024
    Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Computational toxicology (Amsterdam, Netherlands) · 2021
    Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Inflammasomes: Pandora's box for sepsis.Journal of inflammation research · 2018
    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

6 authors at 1 institution in 1 country.

Christian BimeDepartment of Medicine, University of Arizona, Tucson, Arizona, USA.
Tong ZhouDepartment of Medicine, University of Arizona, Tucson, Arizona, USA.
Ting WangDepartment of Medicine, University of Arizona, Tucson, Arizona, USA.
Marvin J SlepianDepartment of Medicine, University of Arizona, Tucson, Arizona, USA; Department of Biomedical Engineering, University of Arizona, Tucson, Arizona, USA.
Joe G N GarciaDepartment of Medicine, University of Arizona, Tucson, Arizona, USA.
Louise HeckerDepartment of Medicine, University of Arizona, Tucson, Arizona, USA; Southern Arizona Veterans Administration Health Care System, Tucson, Arizona, USA.
University of Arizona · US

Funding

SOUTHWEST ENVIRONMENTAL HEALTH SCIENCES CENTERP30ES006694 · NIEHS · UNIVERSITY OF ARIZONA · PI DEAN BILLHEIMER · 1994 to 2026
$36.7M
NIEHS NIH HHS P30 ES006694
6 · The paper itself

Abstract

Sepsis-related multiple organ dysfunction syndrome is a leading cause of death in intensive care units. There is overwhelming evidence that oxidative stress plays a significant role in the pathogenesis of sepsis-associated multiple organ failure; however, reactive oxygen species (ROS)-associated biomarkers and/or diagnostics that define mortality or predict survival in sepsis are lacking. Lung or peripheral blood gene expression analysis has gained increasing recognition as a potential prognostic and/or diagnostic tool. The objective of this study was to identify ROS-associated biomarkers predictive of survival in patients with sepsis. In-silico analyses of expression profiles allowed the identification of a 21-gene ROS-associated molecular signature that predicts survival in sepsis patients. Importantly, this signature performed well in a validation cohort consisting of sepsis patients aggregated from distinct patient populations recruited from different sites. Our signature outperforms randomly generated signatures of the same signature gene size. Our findings further validate the critical role of ROSs in the pathogenesis of sepsis and provide a novel gene signature that predicts survival in sepsis patients. These results also highlight the utility of peripheral blood molecular signatures as biomarkers for predicting mortality risk in patients with sepsis, which could facilitate the development of personalized therapies.

Indexed as

gene expressionmicroarrayreactive oxygen speciessepsis

Identifiers

PMID27252846
PMCPMC4869924
OpenAlexW2322823613

What OpenQuestion holds

Textmetadata
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.