The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
The role of the microbiome in diabetic foot ulcers: Biofilm community dynamics differ with healing outcomes
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Imirzalioglu, C., Sethi, S., Schneider, C., Hain, T., Chakraborty, T., Mayser, P., & Domann, E. (2014) · BMC Research Notes · doi:10.1186/1756-0500-7-196 · Cited by 23
Research works printed but not linked: 57
- Deng, 2023, Mechanisms of diabetic foot ulceration: a review, J Diabetes, 15, 299, 10.1111/1753-0407.13372 · DOI · Paper page
- Edmonds, 2021, The current burden of diabetic foot disease, J Clin Orthop Trauma, 17, 88, 10.1016/j.jcot.2021.01.017 · DOI · Paper page
- Armstrong, 2017, Diabetic foot ulcers and their recurrence, N Engl J Med, 376, 10.1056/NEJMra1615439 · DOI · Paper page
- Kerr, 2019, The cost of diabetic foot ulcers and amputations to the National Health Service in England, Diabet Med : J Br Diabetic Assoc, 36, 995, 10.1111/dme.13973 · DOI · Paper page
- Rodrigues, 2021, Biofilms in wounds: new advances in therapy and in healing management, Biomedicines, 9, 10.3390/biomedicines9020193 · doi:10.3390/biomedicines9020193
- Bowler, 2018, Antibiotic resistance and biofilm tolerance: a combined threat in the treatment of chronic infections, J Wound Care, 27, 273, 10.12968/jowc.2018.27.5.273 · DOI
- Pouget, 2023, Antimicrobial activity of antibiotics on biofilm formed by Staphylococcus aureus and Pseudomonas aeruginosa in an open microfluidic model mimicking the diabetic foot environment, J Antimicrob Chemother, 78, 540, 10.1093/jac/dkac438 · DOI
- Baz, 2023, Staphylococcus aureus strains exhibit heterogenous tolerance to direct cold atmospheric plasma therapy, Biofilm, 5, 10.1016/j.bioflm.2023.100123 · DOI
- Pouget, 2022, Polymicrobial biofilm Organization of Staphylococcus aureus and Pseudomonas aeruginosa in a chronic wound environment, Int J Mol Sci, 23, 10.3390/ijms231810761 · DOI
- Kvich, 2022, Investigation of the mechanism and chemistry underlying staphylococcus aureus' ability to inhibit Pseudomonas aeruginosa growth in vitro, J Bacteriol, 204, 10.1128/jb.00174-22 · DOI
- Malone, 2017, The prevalence of biofilms in chronic wounds: a systematic review and meta-analysis of published data, J Wound Care, 26, 20, 10.12968/jowc.2017.26.1.20 · DOI · Paper page
- Brown, 2022, Assessing the inflammatory response to in vitro polymicrobial wound biofilms in a skin epidermis model, npj Biofilms Microbiomes, 8, 10.1038/s41522-022-00286-z · DOI
- Travis, 2020, The microbiome of diabetic foot ulcers: a comparison of swab and tissue biopsy wound sampling techniques using 16S rRNA gene sequencing, BMC Microbiol, 20, 163, 10.1186/s12866-020-01843-2 · DOI
- Smith, 2016, One step closer to understanding the role of bacteria in diabetic foot ulcers: characterising the microbiome of ulcers, BMC Microbiol, 16, 10.1186/s12866-016-0665-z · DOI
- Jnana, 2020, Microbial community distribution and core microbiome in successive wound grades of individuals with diabetic foot ulcers, Appl Environ Microbiol, 86, 10.1128/AEM.02608-19 · DOI
- Malik Asif, 2016, The importance of anaerobic bacteria in non-healing wounds, Wound Prac Res, 24
- Allkja, 2025, Investigating the prevalence of fungi in diabetic ulcers: an under recognised contributor to polymicrobial biofilms, APMIS, 133, 10.1111/apm.70025 · doi:10.1111/apm.70025
- MacDonald, 2019, Evidence of differential microbiomes in healing versus non-healing diabetic foot ulcers prior to and following foot salvage therapy, J Orthop Res, 37, 1596, 10.1002/jor.24279 · DOI
- Armstrong, 1998, Validation of a Diabetic Wound Classification System: the contribution of depth, infection, and ischemia to risk of amputation, Diabetes Care, 21, 855, 10.2337/diacare.21.5.855 · DOI · Paper page
- Curry, 2022, Emu: species-level microbial community profiling of full-length 16S rRNA Oxford Nanopore sequencing data, Nat Methods, 19, 845, 10.1038/s41592-022-01520-4 · DOI · Paper page
- McMurdie, 2013, Phyloseq: an R package for reproducible interactive analysis and graphics of microbiome census data, PLoS One, 8, 10.1371/journal.pone.0061217 · DOI · Paper page
- Davis, 2018, Simple statistical identification and removal of contaminant sequences in marker-gene and metagenomics data, Microbiome, 6, 10.1186/s40168-018-0605-2 · DOI · Paper page
- Djm, 2021, microViz: an R package for microbiome data visualization and statistics, J Open Source Softw, 6
- Dixon, 2003, VEGAN, a package of R functions for community ecology, J Veg Sci, 14, 10.1111/j.1654-1103.2003.tb02228.x · DOI · Paper page
- Peschel, 2021, NetCoMi: network construction and comparison for microbiome data in R, Briefings Bioinf, 22, 10.1093/bib/bbaa290 · DOI · Paper page
- Kurtz, 2015, Sparse and compositionally robust inference of microbial ecological networks, PLoS Comput Biol, 11, 10.1371/journal.pcbi.1004226 · DOI · Paper page
- Malone, 2017, Next generation DNA sequencing of tissues from infected diabetic foot ulcers, EBioMedicine, 21, 10.1016/j.ebiom.2017.06.026 · DOI
- Kalan, 2019, Strain- and species-level variation in the microbiome of diabetic wounds is associated with clinical outcomes and therapeutic efficacy, Cell Host Microbe, 25, 641, 10.1016/j.chom.2019.03.006 · DOI · Paper page
- Wolcott, 2016, Analysis of the chronic wound microbiota of 2,963 patients by 16S rDNA pyrosequencing, Wound Repair Regen, 24, 10.1111/wrr.12370 · DOI · Paper page
- Sloan, 2019, Examining diabetic heel ulcers through an ecological lens: microbial community dynamics associated with healing and infection, J Med Microbiol, 68, 10.1099/jmm.0.000907 · DOI
- Kalan, 2019, The role of the microbiome in nonhealing diabetic wounds, Ann N Y Acad Sci, 1435, 79, 10.1111/nyas.13926 · DOI
- Kalan, 2016, Redefining the chronic-wound microbiome: fungal communities are prevalent, dynamic, and associated with delayed healing, mBio, 7, 10.1128/mBio.01058-16 · DOI · Paper page
- Ghannoum, 2016, Cooperative evolutionary strategy between the bacteriome and mycobiome, mBio, 7, 10.1128/mBio.01951-16 · DOI
- Ghannoum, 2010, Characterization of the oral fungal microbiome (Mycobiome) in healthy individuals, PLoS Pathog, 6, 10.1371/journal.ppat.1000713 · DOI · Paper page
- Peters, 2017, The oral fungal mycobiome: characteristics and relation to periodontitis in a pilot study, BMC Microbiol, 17, 10.1186/s12866-017-1064-9 · DOI · Paper page
- Paul, 2024, A fungal metabolic regulator underlies infectious synergism during Candida albicans-Staphylococcus aureus intra-abdominal co-infection, Nat Commun, 15, 10.1038/s41467-024-50058-w · DOI
- Kamath, 2024, In vitro analysis of interactions between Pseudomonas aeruginosa and Candida albicans treated with silver sulfadiazine in wound infections - PubMed, JAC-antimicrobial resistance, 6, 10.1093/jacamr/dlae075 · DOI
- De Jongh, 2024, Porphyromonas gingivalis interaction with Candida albicans allows for aerobic escape, virulence and adherence, Biofilm, 7, 10.1016/j.bioflm.2023.100172 · DOI
- Townsend, 2017, Implications of antimicrobial combinations in complex wound biofilms containing fungi, Antimicrob Agents Chemother, 61, 10.1128/AAC.00672-17 · DOI
- Kean, 2017, Candida albicans mycofilms support Staphylococcus aureus colonization and enhances miconazole resistance in dual-species interactions, Front Microbiol, 8, 258, 10.3389/fmicb.2017.00258 · DOI · Paper page
- Lee, 2017, Proteus vulgarisandProteus mirabilisDecreaseCandida albicansBiofilm Formation by suppressing morphological transition to its hyphal form, Yonsei Med J, 58, 1135, 10.3349/ymj.2017.58.6.1135 · DOI
- Kart, 2020, Altered metabolomic profile of dual-species biofilm: interactions between Proteus mirabilis and Candida albicans, Microbiol Res, 230, 10.1016/j.micres.2019.126346 · DOI
- Townsend, 2024, What is slough? Defining the proteomic and microbial composition of slough and its implications for wound healing, Wound Repair Regen, 32, 10.1111/wrr.13170 · DOI
- Tong, 2022, Association between hemoglobin A1c, Vitamin C, and microbiome in diabetic foot ulcers and intact skin: a cross-sectional study, Health Sci Rep, 5, 10.1002/hsr2.718 · DOI
- Stewart, 2024, Association of biofilm and microbial metrics with healing rate in older adults with chronic venous leg ulcers, Wound Repair Regen, 32, 10.1111/wrr.13230 · DOI
- Van Leeuwen, 2016, Interspecies interactions between Clostridium difficile and Candida albicans, mSphere, 1, 10.1128/mSphere.00187-16 · DOI
- Rossignol, 2009, Correlation between biofilm formation and the hypoxic response in Candida parapsilosis, Eukaryot Cell, 8, 550, 10.1128/EC.00350-08 · DOI
- Tkaczyk, 2022, Neutralizing Staphylococcus aureus virulence with AZD6389, a three mAb combination, accelerates closure of a diabetic polymicrobial wound, mSphere, 7, 10.1128/msphere.00130-22 · DOI
- Escobar, 2021, Repurposing kinase inhibitor Bay 11-7085 to combat Staphylococcus aureus and Candida albicans biofilms, Front Pharmacol, 12, 10.3389/fphar.2021.675300 · DOI
- Wei, 2015, Trophic network architecture of root-associated bacterial communities determines pathogen invasion and plant health, Nat Commun, 6, 8413, 10.1038/ncomms9413 · DOI · Paper page
- Hu, 2016, Probiotic diversity enhances rhizosphere microbiome function and plant disease suppression, mBio, 7, 10.1128/mBio.01790-16 · DOI · Paper page
- Finegold, 2004, Porphyromonas uenonis sp. Nov., a pathogen for humans distinct from P. asaccharolytica and P. endodontalis, J Clin Microbiol, 42, 10.1128/JCM.42.11.5298-5301.2004 · doi:10.1128/jcm.42.11.5298-5301.2004
- Karygianni, 2020, Biofilm matrixome: extracellular components in structured microbial communities, Trends Microbiol, 28, 10.1016/j.tim.2020.03.016 · DOI · Paper page
- Paleczny, 2021, The high impact of Staphylococcus aureus biofilm Culture medium on in vitro outcomes of antimicrobial activity of wound antiseptics and antibiotic, Pathogens, 10, 1385, 10.3390/pathogens10111385 · DOI
- Van Charante, 2023, 3D-printed wound dressings containing a fosmidomycin-derivative prevent Acinetobacter baumannii biofilm formation, iScience, 26, 10.1016/j.isci.2023.107557 · DOI
- Robertson, 2024, Development, characterization, and evaluation of a simple polymicrobial colony biofilm model for testing of antimicrobial wound dressings, J Appl Microbiol, 135, 10.1093/jambio/lxae042 · DOI
- Khalid, 2023, A synthetic polymicrobial community biofilm model demonstrates spatial partitioning, tolerance to antimicrobial treatment, reduced metabolism, and small colony variants typical of chronic wound biofilms, Pathogens, 12, 10.3390/pathogens12010118 · DOI
Metadata
- Authors
- Allkja, J., Bairoliya, S., Bakri, A., Short, B., Brown, J. L., Delaney, C., Smith, P., Short, R. D., Jenkins, T., Cao, B., Williams, C., & Ramage, G.
- Venue
- Biofilm
- Publisher
- Elsevier BV
- Published
- 2026-12
- Volume
- 12
- Pages
- 100405
- ISSN
- 2590-2075
- Cited by
- 0
- References
- 1
- Language
- en
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- creativecommons.org/licenses/by/4.0/ (vor)
- Funders
- Engineering and Physical Sciences Research Council
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The role of the microbiome in diabetic foot ulcers: Biofilm community dynamics differ with healing outcomes. https://app.cochat.ai/papers/10.1016/j.bioflm.2026.100405
- The paper
- Allkja, J., Bairoliya, S., Bakri, A., Short, B., Brown, J. L., Delaney, C., Smith, P., Short, R. D., Jenkins, T., Cao, B., Williams, C., & Ramage, G. (2026). The role of the microbiome in diabetic foot ulcers: Biofilm community dynamics differ with healing outcomes. Biofilm. https://doi.org/10.1016/j.bioflm.2026.100405
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.