TY - JOUR
T1 - Metabolomics analysis of aspirin’s effects in human colon tissue and associations with adenoma risk
AU - Barry, Elizabeth L.
AU - Fedirko, Veronika
AU - Uppal, Karan
AU - Ma, Chunyu
AU - Liu, Ken
AU - Mott, Leila A.
AU - Peacock, Janet L.
AU - Passarelli, Michael N.
AU - Baron, John A.
AU - Jones, Dean P.
N1 - Funding Information:
E.L. Barry reports grants from NIH/NCI during the conduct of the study. J.A. Baron reports grants from NCI during the conduct of the study, as well as has a patent for chemopreventive use of aspirin issued (held with Dartmouth College). D.P. Jones reports grants from Emory University (received NIH grant support) during the conduct of the study. No potential conflicts of interest were disclosed by the other authors.
Funding Information:
These data are available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR000730. The data can be accessed directly via its Project DOI: 10.21228/M89X1C. This work was supported by NIH grant, U2C-DK119886.
Funding Information:
We would like to thank the participants and staff of the Aspirin/Folate Polyp Prevention Study for their valuable contributions. This work was supported by NCI/NIH R01CA188038 to E. Barry and R01CA059005 to J. Baron. The study biorepository was supported by NIGMS/NIH P20GM104416. Aspirin and placebo tablets used in the Aspirin/Folate Polyp Prevention Study were provided by the Bayer Corporation.
Publisher Copyright:
© 2020 American Association for Cancer Research.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2020/10/1
Y1 - 2020/10/1
N2 - Although substantial evidence supports aspirin’s efficacy in colorectal cancer chemoprevention, key molecular mechanisms are uncertain. An untargeted metabolomics approach with high-resolution mass spectrometry was used to elucidate metabolic effects of aspirin treatment in human colon tissue. We measured 10,269 metabolic features in normal mucosal biopsies collected at colonoscopy after approximately 3 years of randomized treatment with placebo, 81 or 325 mg/day aspirin from 325 participants in the Aspirin/Folate Polyp Prevention Study. Linear regression was used to identify aspirin-associated metabolic features and network analysis was used to identify pathways and predict metabolite identities. Poisson regression was used to examine metabolic features associations with colorectal adenoma risk. We detected 471 aspirin-associated metabolic features. Aside from the carnitine shuttle, aspirin-associated metabolic pathways were largely distinct for 81 mg aspirin (e.g., pyrimidine metabolism) and 325 mg (e.g., arachidonic acid metabolism). Among aspirin-associated metabolic features, we discovered three that were associated with adenoma risk and could contribute to the chemopreventive effect of aspirin treatment, and which have also previously been associated with colorectal cancer: creatinine, glycerol 3-phosphate, and linoleate. The last two of these are in the glycerophospholipid metabolism pathway, which was associated with 81 mg aspirin treatment and provides precursors for the synthesis of eicosanoids from arachidonic acid upstream of cyclooxygenase inhibition by aspirin. Conversely, carnitine shuttle metabolites were increased with aspirin treatment and associated with increased adenoma risk. Thus, our untargeted metabolomics approach has identified novel metabolites and pathways that may underlie the effects of aspirin during early colorectal carcinogenesis.
AB - Although substantial evidence supports aspirin’s efficacy in colorectal cancer chemoprevention, key molecular mechanisms are uncertain. An untargeted metabolomics approach with high-resolution mass spectrometry was used to elucidate metabolic effects of aspirin treatment in human colon tissue. We measured 10,269 metabolic features in normal mucosal biopsies collected at colonoscopy after approximately 3 years of randomized treatment with placebo, 81 or 325 mg/day aspirin from 325 participants in the Aspirin/Folate Polyp Prevention Study. Linear regression was used to identify aspirin-associated metabolic features and network analysis was used to identify pathways and predict metabolite identities. Poisson regression was used to examine metabolic features associations with colorectal adenoma risk. We detected 471 aspirin-associated metabolic features. Aside from the carnitine shuttle, aspirin-associated metabolic pathways were largely distinct for 81 mg aspirin (e.g., pyrimidine metabolism) and 325 mg (e.g., arachidonic acid metabolism). Among aspirin-associated metabolic features, we discovered three that were associated with adenoma risk and could contribute to the chemopreventive effect of aspirin treatment, and which have also previously been associated with colorectal cancer: creatinine, glycerol 3-phosphate, and linoleate. The last two of these are in the glycerophospholipid metabolism pathway, which was associated with 81 mg aspirin treatment and provides precursors for the synthesis of eicosanoids from arachidonic acid upstream of cyclooxygenase inhibition by aspirin. Conversely, carnitine shuttle metabolites were increased with aspirin treatment and associated with increased adenoma risk. Thus, our untargeted metabolomics approach has identified novel metabolites and pathways that may underlie the effects of aspirin during early colorectal carcinogenesis.
UR - http://www.scopus.com/inward/record.url?scp=85090257854&partnerID=8YFLogxK
U2 - 10.1158/1940-6207.CAPR-20-0014
DO - 10.1158/1940-6207.CAPR-20-0014
M3 - Article
C2 - 32655007
AN - SCOPUS:85090257854
SN - 1940-6207
VL - 13
SP - 863
EP - 875
JO - Cancer Prevention Research
JF - Cancer Prevention Research
IS - 10
ER -