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16S rRNA sequencing analysis of the oral and fecal microbiota in colorectal cancer positives versus colorectal cancer negatives in Iranian population.
Rezasoltani, Sama; Azizmohammad Looha, Mehdi; Asadzadeh Aghdaei, Hamid; Jasemi, Seyedesomayeh; Sechi, Leonardo Antonio; Gazouli, Maria; Sadeghi, Amir; Torkashvand, Shirin; Baniali, Reyhaneh; Schlüter, Hartmut; Zali, Mohammad Reza; Feizabadi, Mohammad Mehdi.
Afiliação
  • Rezasoltani S; Section Mass Spectrometric Proteomics, Diagnostic Center, University Medical Center Hamburg-Eppendorf (UKE), 20246, Hamburg, Germany.
  • Azizmohammad Looha M; Division of Oral Microbiology and Immunology, Department of Operative Dentistry, Periodontology and Preventive Dentistry, RWTH University Hospital, 52057 Aachen, Germany.
  • Asadzadeh Aghdaei H; Basic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, 19835-178, Iran.
  • Jasemi S; Basic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, 19835-178, Iran.
  • Sechi LA; Department of Biomedical Sciences, University of Sassari, Viale San Pietro 43b, 07100, Sassari, Italy.
  • Gazouli M; Department of Biomedical Sciences, University of Sassari, Viale San Pietro 43b, 07100, Sassari, Italy. sechila@uniss.it.
  • Sadeghi A; Struttura Complessa Microbiologia e Virologia, Azienda Ospedaliera Universitaria, 07100 Sassari, Italy. sechila@uniss.it.
  • Torkashvand S; Department of Basic Medical Sciences, Laboratory of Biology, Medical School, National and Kapodistrian University of Athens, Athens, Greece.
  • Baniali R; Gastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, 19835-178, Iran.
  • Schlüter H; Basic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, 19835-178, Iran.
  • Zali MR; Basic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, 19835-178, Iran.
  • Feizabadi MM; Section Mass Spectrometric Proteomics, Diagnostic Center, University Medical Center Hamburg-Eppendorf (UKE), 20246, Hamburg, Germany.
Gut Pathog ; 16(1): 9, 2024 Feb 20.
Article em En | MEDLINE | ID: mdl-38378690
ABSTRACT

BACKGROUND:

Colorectal cancer (CRC) poses a significant healthcare challenge, accounting for nearly 6.1% of global cancer cases. Early detection, facilitated by population screening utilizing innovative biomarkers, is pivotal for mitigating CRC incidence. This study aims to scrutinize the fecal and salivary microbiomes of CRC-positive individuals (CPs) in comparison to CRC-negative counterparts (CNs) to enhance early CRC diagnosis through microbial biomarkers. MATERIAL AND

METHODS:

A total of 80 oral and stool samples were collected from Taleghani Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran, encompassing both CPs and CNs undergoing screening. Microbial profiling was conducted using 16S rRNA sequencing assays, employing the Nextera XT Index Kit on an Illumina NovaSeq platform.

RESULTS:

Distinct microbial profiles were observed in saliva and stool samples of CPs, diverging significantly from those of CNs at various taxonomic levels, including phylum, family, and species. Saliva samples from CPs exhibited abundance of Calothrix parietina, Granulicatella adiacens, Rothia dentocariosa, and Rothia mucilaginosa, absent in CNs. Additionally, Lachnospiraceae and Prevotellaceae were markedly higher in CPs' feces, while the Fusobacteria phylum was significantly elevated in CPs' saliva. Conversely, the non-pathogenic bacterium Akkermansia muciniphila exhibited a significant decrease in CPs' fecal samples compared to CNs.

CONCLUSION:

Through meticulous selection of saliva and stool microbes based on Mean Decrease GINI values and employing logistic regression for saliva and support vector machine models for stool, we successfully developed a microbiota test with heightened sensitivity and specificity for early CRC detection.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article