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Specific Gut Microbiome and Serum Metabolome Changes in Lung Cancer Patients

BACKGROUND: Lung cancer (LC) is one of the most aggressive, prevalent and fatal malignancies. Gut microbes and their associated metabolites are thought to cause and modulate LC development, albeit influenced by the host genetic make-up and environment. Herein, we identified and classified gut microb...

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Autores principales: Zhao, Feng, An, Rui, Wang, Liqian, Shan, Jikang, Wang, Xianjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8435782/
https://www.ncbi.nlm.nih.gov/pubmed/34527604
http://dx.doi.org/10.3389/fcimb.2021.725284
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author Zhao, Feng
An, Rui
Wang, Liqian
Shan, Jikang
Wang, Xianjun
author_facet Zhao, Feng
An, Rui
Wang, Liqian
Shan, Jikang
Wang, Xianjun
author_sort Zhao, Feng
collection PubMed
description BACKGROUND: Lung cancer (LC) is one of the most aggressive, prevalent and fatal malignancies. Gut microbes and their associated metabolites are thought to cause and modulate LC development, albeit influenced by the host genetic make-up and environment. Herein, we identified and classified gut microbiota and serum metabolites associated with LC. METHODS: Stool samples were collected from 41 LC patients and 40 healthy volunteers. The gut microbiota was analyzed using 16S rRNA gene sequencing. Serum samples were collected from the same LC patients (n=30) and healthy volunteers (n=30) and serum metabolites were analyzed using liquid chromatography-mass spectrometry (LC-MS). Microbiome and metabolome data were analyzed separately and integrated for combined analysis using various bioinformatics methods. RESULTS: Serum metabolomics uncovered 870 metabolites regulated in 76 metabolic pathways in both groups. Microbial diversity analyses identified 15967 operational taxonomic units (OTUs) in groups. Of these, the abundance of 232 OTUs was significantly different between HC and LC groups. Also, serum levels of glycerophospholipids (LysoPE 18:3, LysoPC 14:0, LysoPC 18:3), Imidazopyrimidines (Hypoxanthine), AcylGlcADG 66:18; AcylGlcADG (22:6/22:6/22:6) and Acylcarnitine 11:0 were substantially different between HC and LC groups. Combined analysis correlated LC-associated microbes with metabolites, such as Erysipelotrichaceae_UCG_003, Clostridium and Synergistes with glycerophospholipids. CONCLUSIONS: There is an intricate relationship between gut microbiome and levels of several metabolites such as glycerophospholipids and imidazopyrimidines. Microbial-associated metabolites are potential diagnostic biomarkers and therapeutic targets for LC.
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spelling pubmed-84357822021-09-14 Specific Gut Microbiome and Serum Metabolome Changes in Lung Cancer Patients Zhao, Feng An, Rui Wang, Liqian Shan, Jikang Wang, Xianjun Front Cell Infect Microbiol Cellular and Infection Microbiology BACKGROUND: Lung cancer (LC) is one of the most aggressive, prevalent and fatal malignancies. Gut microbes and their associated metabolites are thought to cause and modulate LC development, albeit influenced by the host genetic make-up and environment. Herein, we identified and classified gut microbiota and serum metabolites associated with LC. METHODS: Stool samples were collected from 41 LC patients and 40 healthy volunteers. The gut microbiota was analyzed using 16S rRNA gene sequencing. Serum samples were collected from the same LC patients (n=30) and healthy volunteers (n=30) and serum metabolites were analyzed using liquid chromatography-mass spectrometry (LC-MS). Microbiome and metabolome data were analyzed separately and integrated for combined analysis using various bioinformatics methods. RESULTS: Serum metabolomics uncovered 870 metabolites regulated in 76 metabolic pathways in both groups. Microbial diversity analyses identified 15967 operational taxonomic units (OTUs) in groups. Of these, the abundance of 232 OTUs was significantly different between HC and LC groups. Also, serum levels of glycerophospholipids (LysoPE 18:3, LysoPC 14:0, LysoPC 18:3), Imidazopyrimidines (Hypoxanthine), AcylGlcADG 66:18; AcylGlcADG (22:6/22:6/22:6) and Acylcarnitine 11:0 were substantially different between HC and LC groups. Combined analysis correlated LC-associated microbes with metabolites, such as Erysipelotrichaceae_UCG_003, Clostridium and Synergistes with glycerophospholipids. CONCLUSIONS: There is an intricate relationship between gut microbiome and levels of several metabolites such as glycerophospholipids and imidazopyrimidines. Microbial-associated metabolites are potential diagnostic biomarkers and therapeutic targets for LC. Frontiers Media S.A. 2021-08-30 /pmc/articles/PMC8435782/ /pubmed/34527604 http://dx.doi.org/10.3389/fcimb.2021.725284 Text en Copyright © 2021 Zhao, An, Wang, Shan and Wang https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Cellular and Infection Microbiology
Zhao, Feng
An, Rui
Wang, Liqian
Shan, Jikang
Wang, Xianjun
Specific Gut Microbiome and Serum Metabolome Changes in Lung Cancer Patients
title Specific Gut Microbiome and Serum Metabolome Changes in Lung Cancer Patients
title_full Specific Gut Microbiome and Serum Metabolome Changes in Lung Cancer Patients
title_fullStr Specific Gut Microbiome and Serum Metabolome Changes in Lung Cancer Patients
title_full_unstemmed Specific Gut Microbiome and Serum Metabolome Changes in Lung Cancer Patients
title_short Specific Gut Microbiome and Serum Metabolome Changes in Lung Cancer Patients
title_sort specific gut microbiome and serum metabolome changes in lung cancer patients
topic Cellular and Infection Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8435782/
https://www.ncbi.nlm.nih.gov/pubmed/34527604
http://dx.doi.org/10.3389/fcimb.2021.725284
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