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Multi-kingdom microbial signatures in excess body weight colorectal cancer based on global metagenomic analysis.
Zhu, Xinyue; Xu, Pingping; Zhu, Ruixin; Gao, Wenxing; Yin, Wenjing; Lan, Ping; Zhu, Lixin; Jiao, Na.
Afiliação
  • Zhu X; Putuo People's Hospital, School of Life Sciences and Technology, Tongji University, Shanghai, PR China.
  • Xu P; Department of Colorectal Surgery, Zhongshan Hospital, Fudan University, Shanghai, PR China.
  • Zhu R; Putuo People's Hospital, School of Life Sciences and Technology, Tongji University, Shanghai, PR China. rxzhu@tongji.edu.cn.
  • Gao W; Putuo People's Hospital, School of Life Sciences and Technology, Tongji University, Shanghai, PR China.
  • Yin W; Putuo People's Hospital, School of Life Sciences and Technology, Tongji University, Shanghai, PR China.
  • Lan P; Guangdong Institute of Gastroenterology; Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases; Biomedical Innovation Center, Sun Yat-Sen University, Guangzhou, PR China.
  • Zhu L; Department of General Surgery, The Sixth Affiliated Hospital of Sun Yat-Sen University, Guangzhou, PR China.
  • Jiao N; Guangdong Institute of Gastroenterology; Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases; Biomedical Innovation Center, Sun Yat-Sen University, Guangzhou, PR China. zhulx6@mail.sysu.edu.cn.
Commun Biol ; 7(1): 24, 2024 01 05.
Article em En | MEDLINE | ID: mdl-38182885
ABSTRACT
Excess body weight (EBW) increases the risk of colorectal cancer (CRC) and is linked to lower colonoscopy compliance. Here, we extensively analyzed 981 metagenome samples from multiple cohorts to pinpoint the specific microbial signatures and their potential capability distinguishing EBW patients with CRC. The gut microbiome displayed considerable variations between EBW and lean CRC. We identify 44 and 37 distinct multi-kingdom microbial species differentiating CRC and controls in EBW and lean populations, respectively. Unique bacterial-fungal associations are also observed between EBW-CRC and lean-CRC. Our analysis revealed specific microbial functions in EBW-CRC, including D-Arginine and D-ornithine metabolism, and lipopolysaccharide biosynthesis. The best-performing classifier for EBW-CRC, comprising 12 bacterial and three fungal species, achieved an AUROC of 0.90, which was robustly validated across three independent cohorts (AUROC = 0.96, 0.94, and 0.80). Pathogenic microbial species, Anaerobutyricum hallii, Clostridioides difficile and Fusobacterium nucleatum, are EBW-CRC specific signatures. This work unearths the specific multi-kingdom microbial signatures for EBW-CRC and lean CRC, which may contribute to precision diagnosis and treatment of CRC.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Colorretais / Microbioma Gastrointestinal Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Colorretais / Microbioma Gastrointestinal Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article