| Title: | A microbiome and metabolomic signature of phases of cutaneous healing identified by profiling sequential acute wounds of human skin: An exploratory study |
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| Authors: | ID Ashrafi, Mohammed, Manchester University NHS Foundation Trust, Wythenshawe Hospital, Manchester, United Kingdom (Author)
ID Xu, Yun, School of Chemistry, Manchester Institute of Biotechnology, The University of Manchester, Manchester, United Kingdom (Author)
ID Muhamadali, Howbeer, School of Chemistry, Manchester Institute of Biotechnology, The University of Manchester, Manchester, United Kingdom (Author)
ID White, Iain R., Laboratory for Environmental and Life Sciences, University of Nova Gorica, Nova Gorica, Slovenia (Author)
ID Wilkinson, Maxim, School of Chemistry, Manchester Institute of Biotechnology, The University of Manchester, Manchester, United Kingdom (Author)
ID Baguneid, Mohamed, Manchester University NHS Foundation Trust, Wythenshawe Hospital, Manchester, United Kingdom (Author)
ID Goodacre, Roy, School of Chemistry, Manchester Institute of Biotechnology, The University of Manchester, Manchester, United Kingdom (Author)
ID Bayat, Ardeshir, Manchester University NHS Foundation Trust, Wythenshawe Hospital, Manchester, United Kingdom (Author), et al. |
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| Files: |
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| Language: | English |
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| Work type: | Not categorized |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: | UNG - University of Nova Gorica
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| Abstract: | Profiling skin microbiome and metabolome has been utilised to gain further insight into wound healing processes. The aims of this multi-part temporal study in 11 volunteers were to analytically profile the dynamic wound tissue and headspace metabolome and sequence microbial communities in acute wound healing at days 0, 7, 14, 21 and 28, and to investigate their relationship to wound healing, using non-invasive quantitative devices. Metabolites were obtained using tissue extraction, sorbent and polydimethylsiloxane patches and analysed using GCMS. PCA of wound tissue metabolome clearly separated time points with 10 metabolites of 346 being involved in separation. Analysis of variance-simultaneous component analysis identified a statistical difference between the wound headspace metabolome, sites (P = 0.0024) and time points (P<0.0001), with 10 out of the 129 metabolites measured involved with this separation between sites and time points. A reciprocal relationship between Staphylococcus spp. and Propionibacterium spp. was observed at day 21 (P<0.05) with a statistical correlation between collagen and Propionibacterium (r = 0.417; P = 0.038) and Staphylococcus (r = -0.434; P = 0.03). Procrustes analysis showed a statistically significant similarity between wound headspace and tissue metabolome with non-invasive wound devices. This exploratory study demonstrates the temporal and dynamic nature of acute wound metabolome and microbiome presenting a novel class of biomarkers that correspond to wound healing, with further confirmatory studies now necessary. |
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| Keywords: | metabolomics, skin, volatile organic compounds, VOCs, wound healing |
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| Publication version: | Version of Record |
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| Year of publishing: | 2020 |
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| Number of pages: | 26 |
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| Numbering: | 15, 2 |
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| PID: | 20.500.12556/RUNG-5063-d4a2ae5e-c6ea-14cf-d860-14f956262fbc |
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| COBISS.SI-ID: | 5581307 |
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| DOI: | 10.1371/journal.pone.0229545 |
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| NUK URN: | URN:SI:UNG:REP:NEFAJ0IG |
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| Publication date in RUNG: | 03.03.2020 |
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| Views: | 4098 |
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| Downloads: | 0 |
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