Dietary Inflammatory and Insulinemic Potentials, Plasma Metabolome and Risk of Colorectal Cancer
The inflammatory and insulinemic potentials of diets have been associated with colorectal cancer risk. However, it is unknown whether the plasma metabolite profiles related to inflammatory diets, or to insulinemic diets, underlie this association. The aim of this study was to evaluate the associatio...
Main Authors: | , , , , , , , , , , , , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-06-01
|
Series: | Metabolites |
Subjects: | |
Online Access: | https://www.mdpi.com/2218-1989/13/6/744 |
_version_ | 1827736460958105600 |
---|---|
author | Dong Hoon Lee Qi Jin Ni Shi Fenglei Wang Alaina M. Bever Jun Li Liming Liang Frank B. Hu Mingyang Song Oana A. Zeleznik Xuehong Zhang Amit Joshi Kana Wu Justin Y. Jeon Jeffrey A. Meyerhardt Andrew T. Chan A. Heather Eliassen Clary B. Clish Steven K. Clinton Edward L. Giovannucci Fred K. Tabung |
author_facet | Dong Hoon Lee Qi Jin Ni Shi Fenglei Wang Alaina M. Bever Jun Li Liming Liang Frank B. Hu Mingyang Song Oana A. Zeleznik Xuehong Zhang Amit Joshi Kana Wu Justin Y. Jeon Jeffrey A. Meyerhardt Andrew T. Chan A. Heather Eliassen Clary B. Clish Steven K. Clinton Edward L. Giovannucci Fred K. Tabung |
author_sort | Dong Hoon Lee |
collection | DOAJ |
description | The inflammatory and insulinemic potentials of diets have been associated with colorectal cancer risk. However, it is unknown whether the plasma metabolite profiles related to inflammatory diets, or to insulinemic diets, underlie this association. The aim of this study was to evaluate the association between metabolomic profile scores related to the food-based empirical dietary inflammatory patterns (EDIP), the empirical dietary index for hyperinsulinemia (EDIH), and plasma inflammation (CRP, IL-6, TNFα-R2, adiponectin) and insulin (C-peptide) biomarkers, and colorectal cancer risk. Elastic net regression was used to derive three metabolomic profile scores for each dietary pattern among 6840 participants from the Nurses’ Health Study and Health Professionals Follow-up Study, and associations with CRC risk were examined using multivariable-adjusted logistic regression, in a case-control study of 524 matched pairs nested in both cohorts. Among 186 known metabolites, 27 were significantly associated with both the EDIP and inflammatory biomarkers, and 21 were significantly associated with both the EDIH and C-peptide. In men, odds ratios (ORs) of colorectal cancer, per 1 standard deviation (SD) increment in metabolomic score, were 1.91 (1.31–2.78) for the common EDIP and inflammatory-biomarker metabolome, 1.12 (0.78–1.60) for EDIP-only metabolome, and 1.65 (1.16–2.36) for the inflammatory-biomarkers-only metabolome. However, no association was found for EDIH-only, C-peptide-only, and the common metabolomic signatures in men. Moreover, the metabolomic signatures were not associated with colorectal cancer risk among women. Metabolomic profiles reflecting pro-inflammatory diets and inflammation biomarkers were associated with colorectal cancer risk in men, while no association was found in women. Larger studies are needed to confirm our findings. |
first_indexed | 2024-03-11T02:10:06Z |
format | Article |
id | doaj.art-34123ceeec9e45459a6aadec9c90b2c0 |
institution | Directory Open Access Journal |
issn | 2218-1989 |
language | English |
last_indexed | 2024-03-11T02:10:06Z |
publishDate | 2023-06-01 |
publisher | MDPI AG |
record_format | Article |
series | Metabolites |
spelling | doaj.art-34123ceeec9e45459a6aadec9c90b2c02023-11-18T11:35:07ZengMDPI AGMetabolites2218-19892023-06-0113674410.3390/metabo13060744Dietary Inflammatory and Insulinemic Potentials, Plasma Metabolome and Risk of Colorectal CancerDong Hoon Lee0Qi Jin1Ni Shi2Fenglei Wang3Alaina M. Bever4Jun Li5Liming Liang6Frank B. Hu7Mingyang Song8Oana A. Zeleznik9Xuehong Zhang10Amit Joshi11Kana Wu12Justin Y. Jeon13Jeffrey A. Meyerhardt14Andrew T. Chan15A. Heather Eliassen16Clary B. Clish17Steven K. Clinton18Edward L. Giovannucci19Fred K. Tabung20Department of Sport Industry Studies, Yonsei University, Seoul 03722, Republic of KoreaDepartment of Exercise and Nutrition Sciences, Moyes College of Education, Weber State University, Ogden, UT 84408, USAComprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USADepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USADepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USADepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USADepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USADepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USADepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USAChanning Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USAChanning Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USAClinical and Translational Epidemiology Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USADepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USADepartment of Sport Industry Studies, Yonsei University, Seoul 03722, Republic of KoreaDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02115, USAChanning Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USADepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USADepartment of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USAComprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USADepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USADepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USAThe inflammatory and insulinemic potentials of diets have been associated with colorectal cancer risk. However, it is unknown whether the plasma metabolite profiles related to inflammatory diets, or to insulinemic diets, underlie this association. The aim of this study was to evaluate the association between metabolomic profile scores related to the food-based empirical dietary inflammatory patterns (EDIP), the empirical dietary index for hyperinsulinemia (EDIH), and plasma inflammation (CRP, IL-6, TNFα-R2, adiponectin) and insulin (C-peptide) biomarkers, and colorectal cancer risk. Elastic net regression was used to derive three metabolomic profile scores for each dietary pattern among 6840 participants from the Nurses’ Health Study and Health Professionals Follow-up Study, and associations with CRC risk were examined using multivariable-adjusted logistic regression, in a case-control study of 524 matched pairs nested in both cohorts. Among 186 known metabolites, 27 were significantly associated with both the EDIP and inflammatory biomarkers, and 21 were significantly associated with both the EDIH and C-peptide. In men, odds ratios (ORs) of colorectal cancer, per 1 standard deviation (SD) increment in metabolomic score, were 1.91 (1.31–2.78) for the common EDIP and inflammatory-biomarker metabolome, 1.12 (0.78–1.60) for EDIP-only metabolome, and 1.65 (1.16–2.36) for the inflammatory-biomarkers-only metabolome. However, no association was found for EDIH-only, C-peptide-only, and the common metabolomic signatures in men. Moreover, the metabolomic signatures were not associated with colorectal cancer risk among women. Metabolomic profiles reflecting pro-inflammatory diets and inflammation biomarkers were associated with colorectal cancer risk in men, while no association was found in women. Larger studies are needed to confirm our findings.https://www.mdpi.com/2218-1989/13/6/744empirical dietary inflammatory patterninflammation biomarkersempirical dietary index for hyperinsulinemiaC-peptideplasma metabolomic profilescolorectal cancer |
spellingShingle | Dong Hoon Lee Qi Jin Ni Shi Fenglei Wang Alaina M. Bever Jun Li Liming Liang Frank B. Hu Mingyang Song Oana A. Zeleznik Xuehong Zhang Amit Joshi Kana Wu Justin Y. Jeon Jeffrey A. Meyerhardt Andrew T. Chan A. Heather Eliassen Clary B. Clish Steven K. Clinton Edward L. Giovannucci Fred K. Tabung Dietary Inflammatory and Insulinemic Potentials, Plasma Metabolome and Risk of Colorectal Cancer Metabolites empirical dietary inflammatory pattern inflammation biomarkers empirical dietary index for hyperinsulinemia C-peptide plasma metabolomic profiles colorectal cancer |
title | Dietary Inflammatory and Insulinemic Potentials, Plasma Metabolome and Risk of Colorectal Cancer |
title_full | Dietary Inflammatory and Insulinemic Potentials, Plasma Metabolome and Risk of Colorectal Cancer |
title_fullStr | Dietary Inflammatory and Insulinemic Potentials, Plasma Metabolome and Risk of Colorectal Cancer |
title_full_unstemmed | Dietary Inflammatory and Insulinemic Potentials, Plasma Metabolome and Risk of Colorectal Cancer |
title_short | Dietary Inflammatory and Insulinemic Potentials, Plasma Metabolome and Risk of Colorectal Cancer |
title_sort | dietary inflammatory and insulinemic potentials plasma metabolome and risk of colorectal cancer |
topic | empirical dietary inflammatory pattern inflammation biomarkers empirical dietary index for hyperinsulinemia C-peptide plasma metabolomic profiles colorectal cancer |
url | https://www.mdpi.com/2218-1989/13/6/744 |
work_keys_str_mv | AT donghoonlee dietaryinflammatoryandinsulinemicpotentialsplasmametabolomeandriskofcolorectalcancer AT qijin dietaryinflammatoryandinsulinemicpotentialsplasmametabolomeandriskofcolorectalcancer AT nishi dietaryinflammatoryandinsulinemicpotentialsplasmametabolomeandriskofcolorectalcancer AT fengleiwang dietaryinflammatoryandinsulinemicpotentialsplasmametabolomeandriskofcolorectalcancer AT alainambever dietaryinflammatoryandinsulinemicpotentialsplasmametabolomeandriskofcolorectalcancer AT junli dietaryinflammatoryandinsulinemicpotentialsplasmametabolomeandriskofcolorectalcancer AT limingliang dietaryinflammatoryandinsulinemicpotentialsplasmametabolomeandriskofcolorectalcancer AT frankbhu dietaryinflammatoryandinsulinemicpotentialsplasmametabolomeandriskofcolorectalcancer AT mingyangsong dietaryinflammatoryandinsulinemicpotentialsplasmametabolomeandriskofcolorectalcancer AT oanaazeleznik dietaryinflammatoryandinsulinemicpotentialsplasmametabolomeandriskofcolorectalcancer AT xuehongzhang dietaryinflammatoryandinsulinemicpotentialsplasmametabolomeandriskofcolorectalcancer AT amitjoshi dietaryinflammatoryandinsulinemicpotentialsplasmametabolomeandriskofcolorectalcancer AT kanawu dietaryinflammatoryandinsulinemicpotentialsplasmametabolomeandriskofcolorectalcancer AT justinyjeon dietaryinflammatoryandinsulinemicpotentialsplasmametabolomeandriskofcolorectalcancer AT jeffreyameyerhardt dietaryinflammatoryandinsulinemicpotentialsplasmametabolomeandriskofcolorectalcancer AT andrewtchan dietaryinflammatoryandinsulinemicpotentialsplasmametabolomeandriskofcolorectalcancer AT aheathereliassen dietaryinflammatoryandinsulinemicpotentialsplasmametabolomeandriskofcolorectalcancer AT clarybclish dietaryinflammatoryandinsulinemicpotentialsplasmametabolomeandriskofcolorectalcancer AT stevenkclinton dietaryinflammatoryandinsulinemicpotentialsplasmametabolomeandriskofcolorectalcancer AT edwardlgiovannucci dietaryinflammatoryandinsulinemicpotentialsplasmametabolomeandriskofcolorectalcancer AT fredktabung dietaryinflammatoryandinsulinemicpotentialsplasmametabolomeandriskofcolorectalcancer |