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Integrated microbiome, metabolome, and proteome analysis identifies a novel interplay among commensal bacteria, metabolites and candidate targets in non‐small cell lung cancer

BACKGROUND: Accumulation of evidence suggests that the gut microbiome, its specific metabolites, and differentially expressed proteins (DEPs) are related to non‐small cell lung cancer (NSCLC) pathogenesis. We now report the influences of the gut microbiota, metabolites, and DEPs on the mediation of...

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Autores principales: Qian, Xiang, Zhang, Hong‐Yan, Li, Qing‐Lin, Ma, Guan‐Jun, Chen, Zhuo, Ji, Xu‐Ming, Li, Chang‐Yu, Zhang, Ai‐qin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9218934/
https://www.ncbi.nlm.nih.gov/pubmed/35735103
http://dx.doi.org/10.1002/ctm2.947
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author Qian, Xiang
Zhang, Hong‐Yan
Li, Qing‐Lin
Ma, Guan‐Jun
Chen, Zhuo
Ji, Xu‐Ming
Li, Chang‐Yu
Zhang, Ai‐qin
author_facet Qian, Xiang
Zhang, Hong‐Yan
Li, Qing‐Lin
Ma, Guan‐Jun
Chen, Zhuo
Ji, Xu‐Ming
Li, Chang‐Yu
Zhang, Ai‐qin
author_sort Qian, Xiang
collection PubMed
description BACKGROUND: Accumulation of evidence suggests that the gut microbiome, its specific metabolites, and differentially expressed proteins (DEPs) are related to non‐small cell lung cancer (NSCLC) pathogenesis. We now report the influences of the gut microbiota, metabolites, and DEPs on the mediation of NSCLC's chronic inflammation and immune dysregulation. METHODS: We conducted 16S ribosomal RNA sequencing for the gut microbiome in healthy volunteers and NSCLC patients. Liquid chromatography–mass spectrometry (LC–MS) analysis was employed to explore differences between metabolites and DEPs in serum samples. Additionally, LC–MS‐based metabolomic analysis was conducted in 40 NSCLC tissues and 40 adjacent tissues. The omics data were separately analysed and integrated by using Spearman's correlation coefficient. Then, faecal microbiota transplantation (FMT) assay was used to assess the effects of the gut microbiome and specific metabolites in mice. RESULTS: Faecal microbiome analysis revealed gut microflora dysbiosis in NSCLC patients with Prevotella, Gemmiger, and Roseburia significantly upregulated at the genus level. Then, we identified that nervonic acid/all‐trans‐retinoic acid level was negatively related to Prevotella. Additionally, a total of core 8 DEPs were selected in the proteome analysis, which mainly participated in the production of IL‐8 and NF‐κB pathways. CRP, LBP, and CD14 were identified as potential biomarkers for NSCLC. Transplantation of faecal microbiota from patients with NSCLC or Prevotella copri‐colonized recipient in mice resulted in inflammation and immune dysregulation. In turn, nervonic acid/all‐trans‐retinoic acid treatment improved the phenotype of C57BL/6 mice bearing P. copri‐treated Lewis lung cancer (LLC). CONCLUSIONS: Overall, these results pointed out that P. copri‐nervonic acid/all‐trans‐retinoic acid axis may contribute to the pathogenesis of NSCLC.
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spelling pubmed-92189342022-06-29 Integrated microbiome, metabolome, and proteome analysis identifies a novel interplay among commensal bacteria, metabolites and candidate targets in non‐small cell lung cancer Qian, Xiang Zhang, Hong‐Yan Li, Qing‐Lin Ma, Guan‐Jun Chen, Zhuo Ji, Xu‐Ming Li, Chang‐Yu Zhang, Ai‐qin Clin Transl Med Research Articles BACKGROUND: Accumulation of evidence suggests that the gut microbiome, its specific metabolites, and differentially expressed proteins (DEPs) are related to non‐small cell lung cancer (NSCLC) pathogenesis. We now report the influences of the gut microbiota, metabolites, and DEPs on the mediation of NSCLC's chronic inflammation and immune dysregulation. METHODS: We conducted 16S ribosomal RNA sequencing for the gut microbiome in healthy volunteers and NSCLC patients. Liquid chromatography–mass spectrometry (LC–MS) analysis was employed to explore differences between metabolites and DEPs in serum samples. Additionally, LC–MS‐based metabolomic analysis was conducted in 40 NSCLC tissues and 40 adjacent tissues. The omics data were separately analysed and integrated by using Spearman's correlation coefficient. Then, faecal microbiota transplantation (FMT) assay was used to assess the effects of the gut microbiome and specific metabolites in mice. RESULTS: Faecal microbiome analysis revealed gut microflora dysbiosis in NSCLC patients with Prevotella, Gemmiger, and Roseburia significantly upregulated at the genus level. Then, we identified that nervonic acid/all‐trans‐retinoic acid level was negatively related to Prevotella. Additionally, a total of core 8 DEPs were selected in the proteome analysis, which mainly participated in the production of IL‐8 and NF‐κB pathways. CRP, LBP, and CD14 were identified as potential biomarkers for NSCLC. Transplantation of faecal microbiota from patients with NSCLC or Prevotella copri‐colonized recipient in mice resulted in inflammation and immune dysregulation. In turn, nervonic acid/all‐trans‐retinoic acid treatment improved the phenotype of C57BL/6 mice bearing P. copri‐treated Lewis lung cancer (LLC). CONCLUSIONS: Overall, these results pointed out that P. copri‐nervonic acid/all‐trans‐retinoic acid axis may contribute to the pathogenesis of NSCLC. John Wiley and Sons Inc. 2022-06-23 /pmc/articles/PMC9218934/ /pubmed/35735103 http://dx.doi.org/10.1002/ctm2.947 Text en © 2022 The Authors. Clinical and Translational Medicine published by John Wiley & Sons Australia, Ltd on behalf of Shanghai Institute of Clinical Bioinformatics. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Qian, Xiang
Zhang, Hong‐Yan
Li, Qing‐Lin
Ma, Guan‐Jun
Chen, Zhuo
Ji, Xu‐Ming
Li, Chang‐Yu
Zhang, Ai‐qin
Integrated microbiome, metabolome, and proteome analysis identifies a novel interplay among commensal bacteria, metabolites and candidate targets in non‐small cell lung cancer
title Integrated microbiome, metabolome, and proteome analysis identifies a novel interplay among commensal bacteria, metabolites and candidate targets in non‐small cell lung cancer
title_full Integrated microbiome, metabolome, and proteome analysis identifies a novel interplay among commensal bacteria, metabolites and candidate targets in non‐small cell lung cancer
title_fullStr Integrated microbiome, metabolome, and proteome analysis identifies a novel interplay among commensal bacteria, metabolites and candidate targets in non‐small cell lung cancer
title_full_unstemmed Integrated microbiome, metabolome, and proteome analysis identifies a novel interplay among commensal bacteria, metabolites and candidate targets in non‐small cell lung cancer
title_short Integrated microbiome, metabolome, and proteome analysis identifies a novel interplay among commensal bacteria, metabolites and candidate targets in non‐small cell lung cancer
title_sort integrated microbiome, metabolome, and proteome analysis identifies a novel interplay among commensal bacteria, metabolites and candidate targets in non‐small cell lung cancer
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9218934/
https://www.ncbi.nlm.nih.gov/pubmed/35735103
http://dx.doi.org/10.1002/ctm2.947
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