Metagenomic sequencing of the skin microbiota of the scalp predicting the risk of surgical site infections following surgery of traumatic brain injury in sub-Saharan Africa.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2024
Historique:
received: 26 04 2024
accepted: 03 07 2024
medline: 26 7 2024
pubmed: 26 7 2024
entrez: 24 7 2024
Statut: epublish

Résumé

Surgical site infections (SSI) are a significant concern following traumatic brain injury (TBI) surgery and often stem from the skin's microbiota near the surgical site, allowing bacteria to penetrate deeper layers and potentially causing severe infections in the cranial cavity. This study investigated the relationship between scalp skin microbiota composition and the risk of SSI after TBI surgery in sub-Saharan Africa (SSA). This was a prospective cohort study, enrolling patients scheduled for TBI surgery. Sterile skin swabs were taken from the surrounding normal skin of the head and stored for analysis at -80°Celcius. Patients were monitored postoperatively for up to three months to detect any occurrences of SSI. 16S rRNA sequencing was used to analyze the skin microbiota composition, identifying different taxonomic microorganisms at the genus level. The analysis compared two groups: those who developed SSI and those who did not. A total of 57 patients were included, mostly male (89.5%) with a mean age of 26.5 years, predominantly from urban areas in Uganda and victims of assault. Graphical visualization and metagenomic metrics analysis revealed differences in composition, richness, and evenness of skin microbiota within samples (α) or within the community (β), and showed specific taxa (phylum and genera) associated with either the group of SSI or the No SSI. Metagenomic sequencing analysis uncovered several baseline findings and trends regarding the skin microbiome's relationship with SSI risk. There is an association between scalp microbiota composition (abundancy and diversity) and SSI occurrence following TBI surgery in SSA. We hypothesize under reserve that the scalp microbiota dysbiosis could potentially be an independent predictor of the occurrence of SSI; we advocate for further studies with larger cohorts.

Sections du résumé

BACKGROUND BACKGROUND
Surgical site infections (SSI) are a significant concern following traumatic brain injury (TBI) surgery and often stem from the skin's microbiota near the surgical site, allowing bacteria to penetrate deeper layers and potentially causing severe infections in the cranial cavity. This study investigated the relationship between scalp skin microbiota composition and the risk of SSI after TBI surgery in sub-Saharan Africa (SSA).
METHODS METHODS
This was a prospective cohort study, enrolling patients scheduled for TBI surgery. Sterile skin swabs were taken from the surrounding normal skin of the head and stored for analysis at -80°Celcius. Patients were monitored postoperatively for up to three months to detect any occurrences of SSI. 16S rRNA sequencing was used to analyze the skin microbiota composition, identifying different taxonomic microorganisms at the genus level. The analysis compared two groups: those who developed SSI and those who did not.
RESULTS RESULTS
A total of 57 patients were included, mostly male (89.5%) with a mean age of 26.5 years, predominantly from urban areas in Uganda and victims of assault. Graphical visualization and metagenomic metrics analysis revealed differences in composition, richness, and evenness of skin microbiota within samples (α) or within the community (β), and showed specific taxa (phylum and genera) associated with either the group of SSI or the No SSI.
CONCLUSIONS CONCLUSIONS
Metagenomic sequencing analysis uncovered several baseline findings and trends regarding the skin microbiome's relationship with SSI risk. There is an association between scalp microbiota composition (abundancy and diversity) and SSI occurrence following TBI surgery in SSA. We hypothesize under reserve that the scalp microbiota dysbiosis could potentially be an independent predictor of the occurrence of SSI; we advocate for further studies with larger cohorts.

Identifiants

pubmed: 39047022
doi: 10.1371/journal.pone.0303483
pii: PONE-D-24-15717
doi:

Substances chimiques

RNA, Ribosomal, 16S 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0303483

Informations de copyright

Copyright: © 2024 Lekuya et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Auteurs

Hervé Monka Lekuya (HM)

Department of Surgery/Neurosurgery, CHS, Makerere University, Kampala, Uganda.
Department of Neurosurgery/Human Structure & Repair, Ghent University, Ghent, Belgium.

David Patrick Kateete (DP)

Department of Molecular Biology, CHS, Makerere University, Kampala, Uganda.

Geofrey Olweny (G)

Department of Molecular Biology, CHS, Makerere University, Kampala, Uganda.

Edgar Kigozi (E)

Department of Molecular Biology, CHS, Makerere University, Kampala, Uganda.

Larrey Kasereka Kamabu (LK)

Department of Surgery/Neurosurgery, CHS, Makerere University, Kampala, Uganda.

Safari Paterne Mudekereza (SP)

Faculté of Médecine, Neurosurgery Unit, Université Catholique de Bukavu, Bukavu, DRC.

Rose Nantambi (R)

Department of Surgery/Neurosurgery, CHS, Makerere University, Kampala, Uganda.

Ronald Mbiine (R)

Department of Surgery/Neurosurgery, CHS, Makerere University, Kampala, Uganda.

Fredrick Makumbi (F)

School of Public Health, Makerere University, Kampala, Uganda.

Stephen Cose (S)

Medical Research Council, London School of Hygiene & Tropical Medicine, Entebbe, Uganda.

Jelle Vandersteene (J)

Department of Neurosurgery/Human Structure & Repair, Ghent University, Ghent, Belgium.

Edward Baert (E)

Department of Neurosurgery/Human Structure & Repair, Ghent University, Ghent, Belgium.

Jean-Pierre Okito Kalala (JO)

Department of Neurosurgery/Human Structure & Repair, Ghent University, Ghent, Belgium.

Moses Galukande (M)

Department of Surgery/Neurosurgery, CHS, Makerere University, Kampala, Uganda.

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Classifications MeSH