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Faecal microbiome and metabolic signatures in rectal neuroendocrine tumors

Background: The prevalence of rectal neuroendocrine tumors (RNET) has increased substantially over the past decades. Little is known on mechanistic alteration in the pathogenesis of such disease. We postulate that perturbations of human gut microbiome-metabolome interface influentially affect the de...

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Autores principales: Hu, Wei, Chen, Ze Min, Li, Xia Xi, Lu, Lan, Yang, Gen Hua, Lei, Zheng Xia, You, Li Juan, Cui, Xiao Bing, Lu, Si Cun, Zhai, Zhi Yong, Zeng, Zhi Yu, Chen, Ye, Huang, Si Lin, Gong, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ivyspring International Publisher 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8899573/
https://www.ncbi.nlm.nih.gov/pubmed/35265196
http://dx.doi.org/10.7150/thno.66464
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author Hu, Wei
Chen, Ze Min
Li, Xia Xi
Lu, Lan
Yang, Gen Hua
Lei, Zheng Xia
You, Li Juan
Cui, Xiao Bing
Lu, Si Cun
Zhai, Zhi Yong
Zeng, Zhi Yu
Chen, Ye
Huang, Si Lin
Gong, Wei
author_facet Hu, Wei
Chen, Ze Min
Li, Xia Xi
Lu, Lan
Yang, Gen Hua
Lei, Zheng Xia
You, Li Juan
Cui, Xiao Bing
Lu, Si Cun
Zhai, Zhi Yong
Zeng, Zhi Yu
Chen, Ye
Huang, Si Lin
Gong, Wei
author_sort Hu, Wei
collection PubMed
description Background: The prevalence of rectal neuroendocrine tumors (RNET) has increased substantially over the past decades. Little is known on mechanistic alteration in the pathogenesis of such disease. We postulate that perturbations of human gut microbiome-metabolome interface influentially affect the development of RNET. The study aims to characterize the composition and function of faecal microbiome and metabolites in RNET individuals. Methods: We performed deep shotgun metagenomic sequencing and untargeted liquid chromatography-mass spectrometry (LC-MS) metabolomic profiling of faecal samples from the discovery cohort (18 RNET patients, 40 controls), and validated the microbiome and metabolite-based classifiers in an independent cohort (15 RNET participants, 19 controls). Results: We uncovered a dysbiotic gut ecological microenvironment in RNET patients, characterized by aberrant depletion and attenuated connection of microbial species, and abnormally aggregated lipids and lipid-like molecules. Functional characterization based on our in-house and Human Project Unified Metabolic Analysis Network 2 (HUMAnN2) pipelines further indicated a nutrient deficient gut microenvironment in RNET individuals, evidenced by diminished activities such as energy metabolism, vitamin biosynthesis and transportation. By integrating these data, we revealed 291 robust associations between representative differentially abundant taxonomic species and metabolites, indicating a tight interaction of gut microbiome with metabolites in RNET pathogenesis. Finally, we identified a cluster of gut microbiome and metabolite-based signatures, and replicated them in an independent cohort, showing accurate prediction of such neoplasm from healthy people. Conclusions: Our current study is the first to comprehensively characterize the perturbed interface of gut microbiome and metabolites in RNET patients, which may provide promising targets for microbiome-based diagnostics and therapies for this disorder.
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spelling pubmed-88995732022-03-08 Faecal microbiome and metabolic signatures in rectal neuroendocrine tumors Hu, Wei Chen, Ze Min Li, Xia Xi Lu, Lan Yang, Gen Hua Lei, Zheng Xia You, Li Juan Cui, Xiao Bing Lu, Si Cun Zhai, Zhi Yong Zeng, Zhi Yu Chen, Ye Huang, Si Lin Gong, Wei Theranostics Research Paper Background: The prevalence of rectal neuroendocrine tumors (RNET) has increased substantially over the past decades. Little is known on mechanistic alteration in the pathogenesis of such disease. We postulate that perturbations of human gut microbiome-metabolome interface influentially affect the development of RNET. The study aims to characterize the composition and function of faecal microbiome and metabolites in RNET individuals. Methods: We performed deep shotgun metagenomic sequencing and untargeted liquid chromatography-mass spectrometry (LC-MS) metabolomic profiling of faecal samples from the discovery cohort (18 RNET patients, 40 controls), and validated the microbiome and metabolite-based classifiers in an independent cohort (15 RNET participants, 19 controls). Results: We uncovered a dysbiotic gut ecological microenvironment in RNET patients, characterized by aberrant depletion and attenuated connection of microbial species, and abnormally aggregated lipids and lipid-like molecules. Functional characterization based on our in-house and Human Project Unified Metabolic Analysis Network 2 (HUMAnN2) pipelines further indicated a nutrient deficient gut microenvironment in RNET individuals, evidenced by diminished activities such as energy metabolism, vitamin biosynthesis and transportation. By integrating these data, we revealed 291 robust associations between representative differentially abundant taxonomic species and metabolites, indicating a tight interaction of gut microbiome with metabolites in RNET pathogenesis. Finally, we identified a cluster of gut microbiome and metabolite-based signatures, and replicated them in an independent cohort, showing accurate prediction of such neoplasm from healthy people. Conclusions: Our current study is the first to comprehensively characterize the perturbed interface of gut microbiome and metabolites in RNET patients, which may provide promising targets for microbiome-based diagnostics and therapies for this disorder. Ivyspring International Publisher 2022-01-31 /pmc/articles/PMC8899573/ /pubmed/35265196 http://dx.doi.org/10.7150/thno.66464 Text en © The author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions.
spellingShingle Research Paper
Hu, Wei
Chen, Ze Min
Li, Xia Xi
Lu, Lan
Yang, Gen Hua
Lei, Zheng Xia
You, Li Juan
Cui, Xiao Bing
Lu, Si Cun
Zhai, Zhi Yong
Zeng, Zhi Yu
Chen, Ye
Huang, Si Lin
Gong, Wei
Faecal microbiome and metabolic signatures in rectal neuroendocrine tumors
title Faecal microbiome and metabolic signatures in rectal neuroendocrine tumors
title_full Faecal microbiome and metabolic signatures in rectal neuroendocrine tumors
title_fullStr Faecal microbiome and metabolic signatures in rectal neuroendocrine tumors
title_full_unstemmed Faecal microbiome and metabolic signatures in rectal neuroendocrine tumors
title_short Faecal microbiome and metabolic signatures in rectal neuroendocrine tumors
title_sort faecal microbiome and metabolic signatures in rectal neuroendocrine tumors
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8899573/
https://www.ncbi.nlm.nih.gov/pubmed/35265196
http://dx.doi.org/10.7150/thno.66464
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