ǂan ǂexploratory study
Mohammed Ashrafi (Author), Yun Xu (Author), Howbeer Muhamadali (Author), I. R. White (Author), Maxim Wilkinson (Author), Katherine Hollywood (Author), Mohamed Baguneid (Author), Royston Goodacre (Author), Ardeshir Bayat (Author)

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;

Data

Language: English
Year of publishing:
Typology: 1.01 - Original Scientific Article
Organization: UNG - University of Nova Gorica
UDC: 616.5
COBISS: 5581307 Link will open in a new window
ISSN: 1932-6203
Views: 2337
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Other data

URN: URN:SI:UNG
Type (COBISS): Not categorized
Pages: str. 1-26
Volume: ǂVol. ǂ15
Issue: ǂno. ǂ2
Chronology: Feb. 2020
DOI: 10.1371/journal.pone.0229545
ID: 11423747
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