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Metabolites


Title:Fecal Microbiota and Associated Volatile Organic Compounds Distinguishing No-Adenoma from High-Risk Colon Adenoma Adults
Author(s):Katsaounou K; Yiannakou D; Nikolaou E; Brown C; Vogazianos P; Aristodimou A; Chi J; Costeas P; Agapiou A; Frangou E; Tsiaoussis G; Potamitis G; Antoniades A; Shammas C; Apidianakis Y;
Address:"Department of Biological Sciences, University of Cyprus, Nicosia 2109, Cyprus. Stremble Ventures Ltd., Limassol 4042, Cyprus. AVVA Pharmaceuticals Ltd., Limassol 4001, Cyprus. Karaiskakio Foundation, Nicosia 2032, Cyprus. Department of Chemistry, University of Cyprus, Nicosia 2109, Cyprus. Nicosia General Hospital, Nicosia 2029, Cyprus. Nikis Center, Nicosia 1082, Cyprus"
Journal Title:Metabolites
Year:2023
Volume:20230704
Issue:7
Page Number: -
DOI: 10.3390/metabo13070819
ISSN/ISBN:2218-1989 (Print) 2218-1989 (Electronic) 2218-1989 (Linking)
Abstract:"Microbiota and the metabolites they produce within the large intestine interact with the host epithelia under the influence of a range of host-derived metabolic, immune, and homeostatic factors. This complex host-microbe interaction affects intestinal tumorigenesis, but established microbial or metabolite profiles predicting colorectal cancer (CRC) risk are missing. Here, we aimed to identify fecal bacteria, volatile organic compounds (VOC), and their associations that distinguish healthy (non-adenoma, NA) from CRC prone (high-risk adenoma, HRA) individuals. Analyzing fecal samples obtained from 117 participants >/=15 days past routine colonoscopy, we highlight the higher abundance of Proteobacteria and Parabacteroides distasonis, and the lower abundance of Lachnospiraceae species, Roseburia faecis, Blautia luti, Fusicatenibacter saccharivorans, Eubacterium rectale, and Phascolarctobacterium faecium in the samples of HRA individuals. Volatolomic analysis of samples from 28 participants revealed a higher concentration of five compounds in the feces of HRA individuals, isobutyric acid, methyl butyrate, methyl propionate, 2-hexanone, and 2-pentanone. We used binomial logistic regression modeling, revealing 68 and 96 fecal bacteria-VOC associations at the family and genus level, respectively, that distinguish NA from HRA endpoints. For example, isobutyric acid associations with Lachnospiraceae incertae sedis and Bacteroides genera exhibit positive and negative regression lines for NA and HRA endpoints, respectively. However, the same chemical associates with Coprococcus and Colinsella genera exhibit the reverse regression line trends. Thus, fecal microbiota and VOC profiles and their associations in NA versus HRA individuals indicate the significance of multiple levels of analysis towards the identification of testable CRC risk biomarkers"
Keywords:dysbacteriosis metabolites nutrients pathobionts;
Notes:"PubMed-not-MEDLINEKatsaounou, Kyriaki Yiannakou, Danae Nikolaou, Elpiniki Brown, Cameron Vogazianos, Paris Aristodimou, Aristos Chi, Jianxiang Costeas, Paul Agapiou, Agapios Frangou, Elisavet Tsiaoussis, George Potamitis, George Antoniades, Athos Shammas, Christos Apidianakis, Yiorgos eng EXCELLENCE/1216/0523/Research and Innovation Foundation/ Switzerland 2023/07/29 Metabolites. 2023 Jul 4; 13(7):819. doi: 10.3390/metabo13070819"

 
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Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
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