Evidence map›Paper›PMID 32106276›Full record

ArticlePloS one2020

A microbiome and metabolomic signature of phases of cutaneous healing identified by profiling sequential acute wounds of human skin: An exploratory study.

Mohammed Ashrafi, Yun Xu, Howbeer Muhamadali, Iain White, Maxim Wilkinson, Katherine Hollywood, Mohamed Baguneid, Royston Goodacre, Ardeshir Bayat

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

  1. Pooled it
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  14. Current Knowledge in Skin Metabolomics: Updates from Literature Review.International journal of molecular sciences · 2022
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  17. Valsartan nano-filaments alter mitochondrial energetics and promote faster healing in diabetic rat wounds.Wound repair and regeneration : official publication of the Wound Healing Society [and] the European Tissue Repair Society · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 2 countries.

Mohammed AshrafiPlastic & Reconstructive Surgery Research, Division of Musculoskeletal & Dermatological Sciences, NIHR Manchester Biomedical Research Centre (BRC), University of Manchester, Manchester, United Kingdom.ORCID 0000-0003-3704-9134
Yun XuSchool of Chemistry, Manchester Institute of Biotechnology, The University of Manchester, Manchester, United Kingdom.
Howbeer MuhamadaliSchool of Chemistry, Manchester Institute of Biotechnology, The University of Manchester, Manchester, United Kingdom.
Iain WhiteSchool of Chemistry, Manchester Institute of Biotechnology, The University of Manchester, Manchester, United Kingdom.
Maxim WilkinsonSchool of Chemistry, Manchester Institute of Biotechnology, The University of Manchester, Manchester, United Kingdom.
Katherine HollywoodManchester Centre for Synthetic Biology of Fine and Speciality Chemicals (SYNBIOCHEM), Manchester Institute of Biotechnology, The University of Manchester, Manchester, United Kingdom.
Mohamed BaguneidManchester University NHS Foundation Trust, Wythenshawe Hospital, Manchester, United Kingdom.
Royston GoodacreSchool of Chemistry, Manchester Institute of Biotechnology, The University of Manchester, Manchester, United Kingdom.
Ardeshir BayatPlastic & Reconstructive Surgery Research, Division of Musculoskeletal & Dermatological Sciences, NIHR Manchester Biomedical Research Centre (BRC), University of Manchester, Manchester, United Kingdom.
University of Manchester · GBUniversity of Liverpool · GBManchester University NHS Foundation Trust · GBUniversity of Nova Gorica · SI

Funding

Biotechnology and Biological Sciences Research Council BB/M017702/1Department of Health
6 · The paper itself

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.

Indexed as

AdultCollagenFemaleHumansMaleMetabolomeMetabolomicsMicrobiotaMiddle AgedPrincipal Component AnalysisPropionibacteriumSkinStaphylococcusTime FactorsWound HealingYoung AdultCollagen

Identifiers

PMID32106276
PMCPMC7046225
OpenAlexW3007715244

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.