ArticleFrontiers in microbiology2022
Rapid microbiological diagnosis based on 16S rRNA gene sequencing: A comparison of bacterial composition in diabetic foot infections and contralateral intact skin.
Article in Frontiers in microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 14 citations in OpenAlex.
- Phylogenetic Profiling of the Diabetic Foot Ulcer Microbiome of an Afro-Caribbean Population.MicrobiologyOpen · 2026Article
- A Survey of the Microbiome, Culturome and ARG Profile of a Cohort of Chronic Diabetic Foot Lesions.APMIS : acta pathologica, microbiologica, et immunologica Scandinavica · 2026Article
- 16S rRNA sequencing and conventional culture provide complementary information in hospitalized patients with chronic lower-limb wounds.Frontiers in cellular and infection microbiology · 2026Article
- Characterization of vaginal microbiomes in clinician-collected bacterial vaginosis diagnosed samples.Microbiology spectrum · 2025Article
- Optimisation of cutaneous microbiota sampling methodology.Frontiers in microbiomes · 2025Article
- Metagenomic and ribosomal transcript profiles of diabetic foot osteomyelitis in Hispanic patients: underestimated bacteria in biofilm persistence.Frontiers in cellular and infection microbiology · 2025Article
- Portable direct spraying porous nanofibrous membranes stent-loaded polymyxin B for treating diabetic wounds with difficult-to-heal gram-negative bacterial infections.Materials today. Bio · 2024Article
- Microbial profile of diabetic foot osteomyelitis from the northwest of England.Clinical diabetes and endocrinology · 2024Article
- Anaerobes in diabetic foot infections: pathophysiology, epidemiology, virulence, and management.Clinical microbiology reviews · 2024Review
- 16S rRNA seq-identified Corynebacterium promotes pyroptosis to aggravate diabetic foot ulcer.BMC infectious diseases · 2024Article
Corrections and comments
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Authors and funding
9 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Diabetic foot infections (DFIs) represent a frequent complication of diabetes and a major cause of amputations. This study aimed to evaluate the utility of 16S rRNA gene sequencing for the rapid microbiological diagnosis of DFIs and to consistently characterize the microbiome of chronic diabetic foot ulcers (DFUs) and intact skin. Wound samples were collected by ulcer swabbing and tissue biopsy, and paired swabs of intact skin were collected from 10 patients with DFIs (five were moderately infected, and the other five were severely infected). Samples were analyzed by conventional culture and using Personal Genome Machine (PGM) 16S rRNA sequencing technology. The results showed that PGM technology detected significantly more bacterial genera (66.1 vs. 1.5 per wound sample,
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