ArticleJournal of clinical microbiology2014
Microbial profiling of combat wound infection through detection microarray and next-generation sequencing.
Article in Journal of clinical microbiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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Who cites it
32 citing papers in PubMed, 57 citations in OpenAlex.
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- Metagenomic characterization of infected diabetic foot ulcers in North Africa: microbial diversity, virulome, and resistome profiling.Frontiers in microbiology · 2026Article
- Wounds and the Microbiota: The Healing Interplay Between Host and Microbial Communities.International journal of molecular sciences · 2025Review
- Phylogenetic evaluation and genotypic identification of burn-related Pseudomonas aeruginosa strains isolated from post-burn human infections during hospitalization.Pathogens and disease · 2024Article
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- Antimicrobial analysis of honey against Staphylococcus aureus isolates from wound, ADMET properties of its bioactive compounds and in-silico evaluation against dihydropteroate synthase.BMC complementary medicine and therapies · 2023Article
- Metagenomic features of bioburden serve as outcome indicators in combat extremity wounds.Scientific reports · 2022Article
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- Tracking bacterial DNA patterns in septic progression using 16s rRNA gene amplicon sequencing analysis.International journal of clinical and experimental pathology · 2021Article
- Topical Delivery of Lactobacillus Culture Supernatant Increases Survival and Wound Resolution in Traumatic Acinetobacter baumannii Infections.Probiotics and antimicrobial proteins · 2020Article
- Diagnosis of complication in lung transplantation by TBLB + ROSE + mNGS.Open medicine (Warsaw, Poland) · 2020Article
- Axiom Microbiome Array, the next generation microarray for high-throughput pathogen and microbiome analysis.PloS one · 2019Article
- A Porcine Wound Model ofAdvances in wound care · 2019Article
- Feature Selection for Longitudinal Data by Using Sign Averages to Summarize Gene Expression Values over Time.BioMed research international · 2019Article
- A longitudinal feature selection method identifies relevant genes to distinguish complicated injury and uncomplicated injury over time.BMC medical informatics and decision making · 2018Article
- Impact of viral presence in tumor on gene expression in non-small cell lung cancer.BMC cancer · 2018Article
- Observational
- To select relevant features for longitudinal gene expression data by extending a pathway analysis method.F1000Research · 2018Article
Corrections and comments
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Authors and funding
11 authors at 6 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Combat wound healing and resolution are highly affected by the resident microbial flora. We therefore sought to achieve comprehensive detection of microbial populations in wounds using novel genomic technologies and bioinformatics analyses. We employed a microarray capable of detecting all sequenced pathogens for interrogation of 124 wound samples from extremity injuries in combat-injured U.S. service members. A subset of samples was also processed via next-generation sequencing and metagenomic analysis. Array analysis detected microbial targets in 51% of all wound samples, with Acinetobacter baumannii being the most frequently detected species. Multiple Pseudomonas species were also detected in tissue biopsy specimens. Detection of the Acinetobacter plasmid pRAY correlated significantly with wound failure, while detection of enteric-associated bacteria was associated significantly with successful healing. Whole-genome sequencing revealed broad microbial biodiversity between samples. The total wound bioburden did not associate significantly with wound outcome, although temporal shifts were observed over the course of treatment. Given that standard microbiological methods do not detect the full range of microbes in each wound, these data emphasize the importance of supplementation with molecular techniques for thorough characterization of wound-associated microbes. Future application of genomic protocols for assessing microbial content could allow application of specialized care through early and rapid identification and management of critical patterns in wound bioburden.
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