Absence of a pancreatic microbiome in intraductal papillary mucinous neoplasm.

ENDOSCOPIC PROCEDURES INFLAMMATION INTESTINAL MICROBIOLOGY PANCREATIC DISEASE PANCREATIC TUMOURS

Journal

Gut
ISSN: 1468-3288
Titre abrégé: Gut
Pays: England
ID NLM: 2985108R

Informations de publication

Date de publication:
01 Mar 2024
Historique:
received: 28 08 2023
accepted: 06 02 2024
medline: 2 3 2024
pubmed: 2 3 2024
entrez: 1 3 2024
Statut: aheadofprint

Résumé

This study aims to validate the existence of a microbiome within intraductal papillary mucinous neoplasm (IPMN) that can be differentiated from the taxonomically diverse DNA background of next-generation sequencing procedures. We generated 16S rRNA amplicon sequencing data to analyse 338 cyst fluid samples from 190 patients and 19 negative controls, the latter collected directly from sterile syringes in the operating room. A subset of samples (n=20) and blanks (n=5) were spiked with known concentrations of bacterial cells alien to the human microbiome to infer absolute abundances of microbial traces. All cyst fluid samples were obtained intraoperatively and included IPMNs with various degrees of dysplasia as well as other cystic neoplasms. Follow-up culturing experiments were conducted to assess bacterial growth for microbiologically significant signals. Microbiome signatures of cyst fluid samples were inseparable from those of negative controls, with no difference in taxonomic diversity, and microbial community composition. In a patient subgroup that had recently undergone invasive procedures, a bacterial signal was evident. This outlier signal was not characterised by higher taxonomic diversity but by an increased dominance index of a gut-associated microbe, leading to lower taxonomic evenness compared with the background signal. The 'microbiome' of IPMNs and other pancreatic cystic neoplasms does not deviate from the background signature of negative controls, supporting the concept of a sterile environment. Outlier signals may appear in a small fraction of patients following recent invasive endoscopic procedures. No associations between microbial patterns and clinical or cyst parameters were apparent.

Identifiants

pubmed: 38429112
pii: gutjnl-2023-331012
doi: 10.1136/gutjnl-2023-331012
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: None declared.

Auteurs

Marie-Madlen Pust (MM)

Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA xavier@molbio.mgh.harvard.edu mpust@mgh.harvard.edu cfernandez@mgh.harvard.edu.
Department of Medicine, Harvard Medical School, Boston, Massachusetts, USA.
Center for Computational and Integrative Biology, Massachusetts General Hospital, Boston, Massachusetts, USA.

Darío Missael Rocha Castellanos (DM)

Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.

Kara Rzasa (K)

Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.

Andrea Dame (A)

Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.

Gleb Pishchany (G)

Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, Massachusetts, USA.

Charnwit Assawasirisin (C)

Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.

Andrew Liss (A)

Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.

Carlos Fernandez-Del Castillo (C)

Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA xavier@molbio.mgh.harvard.edu mpust@mgh.harvard.edu cfernandez@mgh.harvard.edu.

Ramnik J Xavier (RJ)

Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA xavier@molbio.mgh.harvard.edu mpust@mgh.harvard.edu cfernandez@mgh.harvard.edu.
Center for Computational and Integrative Biology, Massachusetts General Hospital, Boston, Massachusetts, USA.

Classifications MeSH