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A Metabolomic Signature of Obesity and Risk of Colorectal Cancer: Two Nested Case–Control Studies

Authors :
Mingjia Yang
Chen Zhu
Lingbin Du
Jianv Huang
Jiayi Lu
Jing Yang
Ye Tong
Meng Zhu
Ci Song
Chong Shen
Juncheng Dai
Xiangfeng Lu
Zekuan Xu
Ni Li
Hongxia Ma
Zhibin Hu
Dongfeng Gu
Guangfu Jin
Dong Hang
Hongbing Shen
Source :
Metabolites, Vol 13, Iss 2, p 234 (2023)
Publication Year :
2023
Publisher :
MDPI AG, 2023.

Abstract

Obesity is a leading contributor to colorectal cancer (CRC) risk, but the metabolic mechanisms linking obesity to CRC are not fully understood. We leveraged untargeted metabolomics data from two 1:1 matched, nested case–control studies for CRC, including 223 pairs from the US Prostate, Lung, Colorectal, and Ovarian (PLCO) Cancer Screening Trial and 190 pairs from a prospective Chinese cohort. We explored serum metabolites related to body mass index (BMI), constructed a metabolomic signature of obesity, and examined the association between the signature and CRC risk. In total, 72 of 278 named metabolites were correlated with BMI after multiple testing corrections (p FDR < 0.05). The metabolomic signature was calculated by including 39 metabolites that were independently associated with BMI. There was a linear positive association between the signature and CRC risk in both cohorts (p for linear < 0.05). Per 1-SD increment of the signature was associated with 38% (95% CI: 9–75%) and 28% (95% CI: 2–62%) higher risks of CRC in the US and Chinese cohorts, respectively. In conclusion, we identified a metabolomic signature for obesity and demonstrated the association between the signature and CRC risk. The findings offer new insights into the underlying mechanisms of CRC, which is critical for improved CRC prevention.

Details

Language :
English
ISSN :
13020234 and 22181989
Volume :
13
Issue :
2
Database :
Directory of Open Access Journals
Journal :
Metabolites
Publication Type :
Academic Journal
Accession number :
edsdoj.90b9ee3d78264b5d8d6d1444dce23fcb
Document Type :
article
Full Text :
https://doi.org/10.3390/metabo13020234