Metagenomic and targeted metabolomic analyses reveal distinct phenotypes of the gut microbiota in patients with colorectal cancer and type 2 diabetes mellitus.
10.1097/CM9.0000000000002421
- Author:
Yong YANG
1
;
Zihan HAN
2
;
Zhaoya GAO
3
;
Jiajia CHEN
3
;
Can SONG
4
;
Jingxuan XU
1
;
Hanyang WANG
1
;
An HUANG
1
;
Jingyi SHI
1
;
Jin GU
1
Author Information
1. Department of Gastrointestinal Surgery, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education, Beijing), Peking University Cancer Hospital and Institute, Beijing 100142, China.
2. Department of Gastrointestinal Oncology, Peking University Cancer Hospital and Institute, Beijing 100142, China.
3. Department of Gastrointestinal Surgery, Peking University Shougang Hospital, Beijing 100144, China.
4. Peking-Tsinghua Center for Life Science, Peking University International Cancer Center, Beijing 100142, China.
- Publication Type:Journal Article
- MeSH:
Humans;
Gastrointestinal Microbiome/genetics*;
Diabetes Mellitus, Type 2;
Microbiota;
Bacteria/genetics*;
Fatty Acids, Volatile;
Colorectal Neoplasms/metabolism*;
Butyrates;
Feces/microbiology*
- From:
Chinese Medical Journal
2023;136(23):2847-2856
- CountryChina
- Language:English
-
Abstract:
BACKGROUND:Type 2 diabetes mellitus (T2DM) is an independent risk factor for colorectal cancer (CRC), and the patients with CRC and T2DM have worse survival. The human gut microbiota (GM) is linked to the development of CRC and T2DM, respectively. However, the GM characteristics in patients with CRC and T2DM remain unclear.
METHODS:We performed fecal metagenomic and targeted metabolomics studies on 36 samples from CRC patients with T2DM (DCRC group, n = 12), CRC patients without diabetes (CRC group, n = 12), and healthy controls (Health group, n = 12). We analyzed the fecal microbiomes, characterized the composition and function based on the metagenomics of DCRC patients, and detected the short-chain fatty acids (SCFAs) and bile acids (BAs) levels in all fecal samples. Finally, we performed a correlation analysis of the differential bacteria and metabolites between different groups.
RESULTS:Compared with the CRC group, LefSe analysis showed that there is a specific GM community in DCRC group, including an increased abundance of Eggerthella , Hungatella , Peptostreptococcus , and Parvimonas , and decreased Butyricicoccus , Lactobacillus , and Paraprevotella . The metabolomics analysis results revealed that the butyric acid level was lower but the deoxycholic acid and 12-keto-lithocholic acid levels were higher in the DCRC group than other groups ( P < 0.05). The correlation analysis showed that the dominant bacterial abundance in the DCRC group ( Parvimonas , Desulfurispora , Sebaldella , and Veillonellales , among others) was negatively correlated with butyric acid, hyodeoxycholic acid, ursodeoxycholic acid, glycochenodeoxycholic acid, chenodeoxycholic acid, cholic acid and glycocholate. However, the abundance of mostly inferior bacteria was positively correlated with these metabolic acid levels, including Faecalibacterium , Thermococci , and Cellulophaga .
CONCLUSIONS:Unique fecal microbiome signatures exist in CRC patients with T2DM compared to those with non-diabetic CRC. Alterations in GM composition and SCFAs and secondary BAs levels may promote CRC development.
