Evidence map›Paper›PMID 38170999›Full record

ArticleApplied and environmental microbiology2024

The military gear microbiome: risk factors surrounding the warfighter.

Car Reen Kok, Zakariae Bram, James B Thissen, Timothy S Horseman, Keith S K Fong, Susan A Reichert-Scrivner, Carmen Paguirigan, Kelsey O'Connor, Kristina Thompson, Alexander E Scheiber and 4 more

Abstract read
In one paragraph

Article in Applied and environmental microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. High-qualityMicrobiology spectrum · 2026
    Article
  3. Article
  4. 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

14 authors.

Car Reen KokPhysical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, California, USA.ORCID 0009-0001-1131-9784
Zakariae BramTripler Army Medical Center, Honolulu, Hawaii, USA.
James B ThissenPhysical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, California, USA.
Timothy S HorsemanTripler Army Medical Center, Honolulu, Hawaii, USA.
Keith S K FongTripler Army Medical Center, Honolulu, Hawaii, USA.
Susan A Reichert-ScrivnerTripler Army Medical Center, Honolulu, Hawaii, USA.
Carmen PaguiriganTripler Army Medical Center, Honolulu, Hawaii, USA.
Kelsey O'ConnorTripler Army Medical Center, Honolulu, Hawaii, USA.
Kristina ThompsonTripler Army Medical Center, Honolulu, Hawaii, USA.
Alexander E ScheiberTripler Army Medical Center, Honolulu, Hawaii, USA.
Shalini MaberyPhysical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, California, USA.
Viseth NgauyTripler Army Medical Center, Honolulu, Hawaii, USA.
Catherine F UyeharaTripler Army Medical Center, Honolulu, Hawaii, USA.
Nicholas A BePhysical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, California, USA.ORCID 0000-0003-3478-3077

Funding

Lawrence Livermore National Laboratory (LLNL)
6 · The paper itself

Abstract

Combat extremity wounds are highly susceptible to contamination from surrounding environmental material. This bioburden could be partially transferred from materials in immediate proximity to the wound, including fragments of the uniform and gear. However, the assessment of the microbial bioburden present on military gear during operational conditions of deployment or training is relatively unexplored. Opportunistic pathogens that can survive on gear represent risk factors for infection following injury, especially following combat blasts, where fibers and other materials are embedded in wounded tissue. We utilized 16S rRNA sequencing to assess the microbiome composition of different military gear types (boot, trouser, coat, and canteen) from two operational environments (training in Hawai'i and deployed in Indonesia) across time (days 0 and 14). We found that microbiome diversity, stability, and composition were dependent on gear type, training location, and sampling timepoint. At day 14, species diversity was significantly higher in Hawai'i samples compared to Indonesia samples for boot, coat, and trouser swabs. In addition, we observed the presence of potential microbial risk factors, as opportunistic pathogenic species, such as

Indexed as

Military PersonnelHawaiiHumansIndonesiaRisk FactorsRNA, Ribosomal, 16SRNA, Ribosomal, 16Scombat injurygear microbiomemicrobial genomicsmilitary medicine

Identifiers

PMID38170999
PMCPMC10807412

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.