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Naslov:A microbiome and metabolomic signature of phases of cutaneous healing identified by profiling sequential acute wounds of human skin: An exploratory study
Avtorji:ID Ashrafi, Mohammed, Manchester University NHS Foundation Trust, Wythenshawe Hospital, Manchester, United Kingdom (Avtor)
ID Xu, Yun, School of Chemistry, Manchester Institute of Biotechnology, The University of Manchester, Manchester, United Kingdom (Avtor)
ID Muhamadali, Howbeer, School of Chemistry, Manchester Institute of Biotechnology, The University of Manchester, Manchester, United Kingdom (Avtor)
ID White, Iain R., Laboratory for Environmental and Life Sciences, University of Nova Gorica, Nova Gorica, Slovenia (Avtor)
ID Wilkinson, Maxim, School of Chemistry, Manchester Institute of Biotechnology, The University of Manchester, Manchester, United Kingdom (Avtor)
ID Baguneid, Mohamed, Manchester University NHS Foundation Trust, Wythenshawe Hospital, Manchester, United Kingdom (Avtor)
ID Goodacre, Roy, School of Chemistry, Manchester Institute of Biotechnology, The University of Manchester, Manchester, United Kingdom (Avtor)
ID Bayat, Ardeshir, Manchester University NHS Foundation Trust, Wythenshawe Hospital, Manchester, United Kingdom (Avtor), et al.
Datoteke: Gradivo nima datotek, ki so prostodostopne za javnost. Gradivo je morda fizično dosegljivo v knjižnici fakultete, zalogo lahko preverite v COBISS-u. Povezava se odpre v novem oknu
Jezik:Angleški jezik
Vrsta gradiva:Delo ni kategorizirano
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:UNG - Univerza v Novi Gorici
Opis: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.
Ključne besede:metabolomics, skin, volatile organic compounds, VOCs, wound healing
Verzija publikacije:Objavljena publikacija
Leto izida:2020
Št. strani:26
Številčenje:15, 2
PID:20.500.12556/RUNG-5063-d4a2ae5e-c6ea-14cf-d860-14f956262fbc Novo okno
COBISS.SI-ID:5581307 Novo okno
DOI:10.1371/journal.pone.0229545 Novo okno
NUK URN:URN:SI:UNG:REP:NEFAJ0IG
Datum objave v RUNG:03.03.2020
Število ogledov:4151
Število prenosov:0
Metapodatki:XML DC-XML DC-RDF
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Skupna ocena:(0 glasov)
Vaša ocena:Ocenjevanje je dovoljeno samo prijavljenim uporabnikom.
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Gradivo je del revije

Naslov:PLoS ONE
Skrajšan naslov:PLoS ONE
Založnik:Public Library of Science
Leto izida:2020
ISSN:1932-6203

Licence

Licenca:CC BY-NC-SA 4.0, Creative Commons Priznanje avtorstva-Nekomercialno-Deljenje pod enakimi pogoji 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by-nc-sa/4.0/deed.sl
Opis:Licenca Creative Commons, ki prepoveduje komercialno uporabo in zahteva, da uporabnik predelana dela objavi z enako licenco.
Začetek licenciranja:03.03.2020

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