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Characterization and predictive functional profiles on metagenomic 16S rRNA data of liver transplant recipients: A longitudinal study.
Sivaraj, Saranya; Copeland, Julia K; Malik, Anshu; Pasini, Elisa; Angeli, Marc; Azhie, Amirhossein; Husain, Shahid; Kumar, Deepali; Allard, Johane; Guttman, David S; Humar, Atul; Bhat, Mamatha.
Afiliação
  • Sivaraj S; Multi Organ Transplant Program, University Health Network, Toronto, Canada.
  • Copeland JK; Centre for the Analysis of Genome Evolution and Function, University of Toronto, Toronto, Canada.
  • Malik A; Multi Organ Transplant Program, University Health Network, Toronto, Canada.
  • Pasini E; Multi Organ Transplant Program, University Health Network, Toronto, Canada.
  • Angeli M; Multi Organ Transplant Program, University Health Network, Toronto, Canada.
  • Azhie A; Multi Organ Transplant Program, University Health Network, Toronto, Canada.
  • Husain S; Multi Organ Transplant Program, University Health Network, Toronto, Canada.
  • Kumar D; Division of Infectious Diseases, Department of Medicine, University Health Network, Toronto, Canada.
  • Allard J; Division of Infectious Diseases, Department of Medicine University of Toronto, Toronto, Canada.
  • Guttman DS; Multi Organ Transplant Program, University Health Network, Toronto, Canada.
  • Humar A; Division of Infectious Diseases, Department of Medicine, University Health Network, Toronto, Canada.
  • Bhat M; Division of Infectious Diseases, Department of Medicine University of Toronto, Toronto, Canada.
Clin Transplant ; 36(2): e14534, 2022 02.
Article em En | MEDLINE | ID: mdl-34781411
ABSTRACT
Long-term survival after Liver Transplantation (LT) is often compromised by infectious and metabolic complications. We aimed to delineate alterations in intestinal microbiome (IM) over time that could contribute to medical complications compromising long-term survival following LT. Fecal samples from LT recipients were collected at 3 months (3 M) and 6 months (6 M) post-LT. The bacterial DNA was extracted using E.Z.N.A. Stool DNA Kit and 16S rRNA gene sequencing at V4 hypervariable region was performed. DADA2 and Phyloseq was implemented to analyze the taxonomic composition. Differentially abundant taxa were identified by metagenomeSeq and LEfSe. Piphillin, an Inferred functional metagenomic analysis tool was used to study the bacterial functional content. For comparison, healthy samples were extracted from NCBI and analyzed similarly. The taxonomic & functional profiles of LT recipients were validated with metagenomic sequencing data from animals exposed to immunosuppressants using Venny. Our findings provide a new perspective on longitudinal increase in specific IM communities post-LT along with an increase in bacterial genes associated with metabolic and infectious disease.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Transplante de Fígado / Microbioma Gastrointestinal Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Transplante de Fígado / Microbioma Gastrointestinal Idioma: En Ano de publicação: 2022 Tipo de documento: Article