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Title:A microbiome and metabolomic signature of phases of cutaneous healing identified by profiling sequential acute wounds of human skin: An exploratory study
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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Language:English
Work type:Not categorized
Typology:1.01 - Original Scientific Article
Organization:UNG - University of Nova Gorica
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.
Keywords:metabolomics, skin, volatile organic compounds, VOCs, wound healing
Publication version:Version of Record
Year of publishing:2020
Number of pages:26
Numbering:15, 2
PID:20.500.12556/RUNG-5063-d4a2ae5e-c6ea-14cf-d860-14f956262fbc New window
COBISS.SI-ID:5581307 New window
DOI:10.1371/journal.pone.0229545 New window
NUK URN:URN:SI:UNG:REP:NEFAJ0IG
Publication date in RUNG:03.03.2020
Views:3132
Downloads:0
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Record is a part of a journal

Title:PLoS ONE
Shortened title:PLoS ONE
Publisher:Public Library of Science
Year of publishing:2020
ISSN:1932-6203

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License:CC BY-NC-SA 4.0, Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International
Link:http://creativecommons.org/licenses/by-nc-sa/4.0/
Description:A Creative Commons license that bans commercial use and requires the user to release any modified works under this license.
Licensing start date:03.03.2020

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