Evidence map›Paper›PMID 38054000›Full record

ArticleFrontiers in immunology2023

Profiling of serum factors associated with

Elke S Bergmann-Leitner, Eugene V Millar, Elizabeth H Duncan, David R Tribble, Patrick M Carey, Michael W Ellis, Katrin Mende, Jason W Bennett, Sidhartha Chaudhury

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Elke S Bergmann-LeitnerImmunology Core, Biologics Research and Development, Walter Reed Army Institute of Research, Silver Spring, MD, United States.
Eugene V MillarInfectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD, United States.
Elizabeth H DuncanImmunology Core, Biologics Research and Development, Walter Reed Army Institute of Research, Silver Spring, MD, United States.
David R TribbleInfectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD, United States.
Patrick M CareyMartin Army Community Hospital, Fort Moore, GA, United States.
Michael W EllisDepartment of Medicine, University of Toledo College of Medicine and Life Sciences, Toledo, OH, United States.
Katrin MendeInfectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD, United States.
Jason W BennettMultidrug-Resistant Organism Repository and Surveillance Network, Walter Reed Army Institute of Research, Silver Spring, MD, United States.
Sidhartha ChaudhuryCenter Enabling Capabilities, Walter Reed Army Institute of Research, Silver Spring, MD, United States.

Funding

NIAID NIH HHS Y01 AI005072
6 · The paper itself

Abstract

Background: People living in close quarters, such as military trainees, are at increased risk for skin and soft tissue infections (SSTI), especially those caused by methicillin-resistant Methods: We conducted a longitudinal study of SSTIs, enrolling US Army trainees before starting military training and following up for 14 weeks. Samples were collected on Day 0, 56, and 90. Serum chemokines and cytokines among 16 SSTI cases and 51 healthy controls were evaluated using an electro-chemiluminescence based multiplex assay platform. Results: Of 54 tested cytokines, 12 were significantly higher among SSTI cases as compared to controls. Among the cases, there were correlations between factors associated with vascular injury (i.e., VCAM-1, ICAM-1, and Flt1), the angiogenetic factor VEGF, and IL-10. Unsupervised machine learning (Principal Component Analysis) revealed that IL10, IL17A, C-reactive protein, ICAM1, VCAM1, SAA, Flt1, and VGEF were indicative of SSTI. Conclusion: The study demonstrates the power of immunoprofiling for identifying factors predictive of pre-illness state of SSTI thereby identifying early stages of an infection and individuals susceptible to SSTI.

Indexed as

Methicillin-Resistant Staphylococcus aureusSoft Tissue InfectionsStaphylococcal InfectionsStaphylococcal Skin InfectionsBiomarkersCytokinesHumansLongitudinal StudiesStaphylococcus aureusBiomarkersCytokinesbiomarkercytokineimmunologymethicillin-resistant Staphylococcus aureus (MRSA)Skin and soft tissue infectionStaphylococcus aureus

Identifiers

PMID38054000
PMCPMC10694289

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.