Evidence map›Paper›PMID 36398242›Full record

ArticleAmerican journal of translational research2022

NAMPT-associated gene signature in the prediction of severe sepsis.

Anlin Feng, Emma Simpson, Jialin Wu, Tasleem Robinson, Wenli Ma, Kim Tieu, Stephen M Black, Ting Wang

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 47% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Free Radical-Associated Gene Signature Predicts Survival in Sepsis Patients.International journal of molecular sciences · 2024
    Article
  3. 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 2 institutions in 1 country.

Anlin FengCenter for Translational Science, Florida International University Port St. Lucie, Miami, FL, USA.
Emma SimpsonDepartment of Internal Medicine, University of Arizona College of Medicine Phoenix 475 N. 5th Street Phoenix, Phoenix 85004, AZ, USA.
Jialin WuCenter for Translational Science, Florida International University Port St. Lucie, Miami, FL, USA.
Tasleem RobinsonCenter for Translational Science, Florida International University Port St. Lucie, Miami, FL, USA.
Wenli MaCenter for Translational Science, Florida International University Port St. Lucie, Miami, FL, USA.
Kim TieuDepartment of Environmental Health Sciences, Florida International University Miami, FL, USA.
Stephen M BlackCenter for Translational Science, Florida International University Port St. Lucie, Miami, FL, USA.
Ting WangCenter for Translational Science, Florida International University Port St. Lucie, Miami, FL, USA.
Florida International University · USUniversity of Phoenix · US

Funding

Toxicant-induced neurotoxicity mediated by glia-neuron and gene-environment interactions in Parkinson's diseaseR35ES030523 · NIEHS · FLORIDA INTERNATIONAL UNIVERSITY · PI KIM TIEU · 2019 to 2026
$6.7M
NIEHS NIH HHS R35 ES030523
6 · The paper itself

Abstract

objectiveSepsis is a life-threatening condition of severe organ dysfunction induced by uncontrolled infection and dysregulated host response. However, standardized clinical biomarkers for sepsis are needed to improve patient care, especially in intensive care units (ICUs). Nicotinamide phosphoribosyltransferase (NAMPT) regulates the activity of nicotinamide adenine dinucleotide (NAD)-dependent enzymes and modulates multiple metabolic pathways. Elevated NAMPT gene expression is a risk factor in the pathogenesis and development of sepsis, which is strongly linked to patient morbidity and ICU mortality. At present, there is no identified NAMPT gene signature for prognosis of sepsis patients.

methodsBy analyzing gene expression profiles in peripheral blood mononuclear cells, this study was designed to establish a NAMPT-associated biomarker that effectively predicts survival in sepsis patients.

resultsWe obtained 19 common genes by intersecting NAMPT-associated genes and sepsis survival-related genes, and this 19-gene signature is significantly enriched in metabolic pathways and NF-κB pathways related to sepsis development. Notably, this 19-gene NAMPT signature was able to discriminate high-risk sepsis from low-risk sepsis in both discovery and validation cohorts. Furthermore, we confirmed that this 19-gene NAMPT signature performed significantly better for sepsis prognosis than random gene sets with 19 genes.

conclusionsWe identified a novel NAMPT gene signature with effective prognostic power for sepsis. Further studies focusing on these biomarkers may also provide an early intervention system for sepsis treatment.

Indexed as

gene signatureNAMPTsepsis

Identifiers

PMID36398242
PMCPMC9641493
OpenAlexW4309408867

What OpenQuestion holds

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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.