Metabolite profile comparisons between ascending and descending colon tissue in healthy adults.
Adult
Biomarkers, Tumor
/ metabolism
Body Mass Index
Colon, Ascending
/ metabolism
Colon, Descending
/ metabolism
Colorectal Neoplasms
/ etiology
Feces
/ chemistry
Female
Gastrointestinal Microbiome
/ physiology
Healthy Volunteers
Humans
Ideal Body Weight
/ physiology
Intestinal Absorption
/ physiology
Lipid Metabolism
Lipids
/ analysis
Male
Metabolome
Middle Aged
Obesity
/ complications
Overweight
/ complications
Risk Factors
Ascending
Colon
Descending
Metabolomics
Obesity
Stool
Journal
World journal of gastroenterology
ISSN: 2219-2840
Titre abrégé: World J Gastroenterol
Pays: United States
ID NLM: 100883448
Informations de publication
Date de publication:
21 Jan 2020
21 Jan 2020
Historique:
received:
22
10
2019
revised:
11
12
2019
accepted:
21
12
2019
entrez:
29
1
2020
pubmed:
29
1
2020
medline:
13
11
2020
Statut:
ppublish
Résumé
Obesity is a risk factor for colorectal cancer, yet metabolic distinctions between healthy right and left colon tissue, before cancer is diagnosed, remains largely unknown. This study compared right-ascending and left-descending colon tissue metabolomes to identify differences from the stool metabolome in normal weight, overweight, and obese adults. To examine right and left colon tissue metabolites according to body mass index that may serve as mechanistic targets for interventions and biomarkers for colon cancer risk. Global, non-targeted metabolomics was applied to assess right-ascending and left-descending colon tissue collected from healthy adults undergoing screening colonoscopies to test the hypothesis that BMI differentially impacts colon tissue metabolite profiles. The colon tissue and stool metabolome of healthy adults ( Ascending and descending colon contained 504 host, food, and microbiota-derived metabolites from normal weight, overweight and obese adults grouped according to body mass index. Amino acids, lipids, and nucleotides were among the chemical types that further differentiated from the stool metabolite profiles. Normal weight adults had 46 significantly different metabolites between ascending and descending colon tissue locations, whereas there were 37 metabolite differences in overweight and 28 metabolite differences for obese adults ( There were metabolite profile differences between right-ascending and left-descending colon tissue in healthy adults. Colon lipids and other metabolites in obese and overweight adults were distinguished from normal weight participants and associated with gut inflammation, nutrient absorption, and products of microbiota metabolism.
Sections du résumé
BACKGROUND
BACKGROUND
Obesity is a risk factor for colorectal cancer, yet metabolic distinctions between healthy right and left colon tissue, before cancer is diagnosed, remains largely unknown. This study compared right-ascending and left-descending colon tissue metabolomes to identify differences from the stool metabolome in normal weight, overweight, and obese adults.
AIM
OBJECTIVE
To examine right and left colon tissue metabolites according to body mass index that may serve as mechanistic targets for interventions and biomarkers for colon cancer risk.
METHODS
METHODS
Global, non-targeted metabolomics was applied to assess right-ascending and left-descending colon tissue collected from healthy adults undergoing screening colonoscopies to test the hypothesis that BMI differentially impacts colon tissue metabolite profiles. The colon tissue and stool metabolome of healthy adults (
RESULTS
RESULTS
Ascending and descending colon contained 504 host, food, and microbiota-derived metabolites from normal weight, overweight and obese adults grouped according to body mass index. Amino acids, lipids, and nucleotides were among the chemical types that further differentiated from the stool metabolite profiles. Normal weight adults had 46 significantly different metabolites between ascending and descending colon tissue locations, whereas there were 37 metabolite differences in overweight and 28 metabolite differences for obese adults (
CONCLUSION
CONCLUSIONS
There were metabolite profile differences between right-ascending and left-descending colon tissue in healthy adults. Colon lipids and other metabolites in obese and overweight adults were distinguished from normal weight participants and associated with gut inflammation, nutrient absorption, and products of microbiota metabolism.
Identifiants
pubmed: 31988593
doi: 10.3748/wjg.v26.i3.335
pmc: PMC6969882
doi:
Substances chimiques
Biomarkers, Tumor
0
Lipids
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
335-352Informations de copyright
©The Author(s) 2020. Published by Baishideng Publishing Group Inc. All rights reserved.
Déclaration de conflit d'intérêts
Conflict-of-interest statement: Authors have nothing to disclose.
Références
Int J Endocrinol. 2013;2013:361895
pubmed: 23762050
Nat Methods. 2016 Jul;13(7):581-3
pubmed: 27214047
PLoS One. 2015 Aug 25;10(8):e0135959
pubmed: 26305323
Cancer Res. 1989 Nov 1;49(21):6039-43
pubmed: 2790818
Metabolomics. 2018 Jan;14(1):17
pubmed: 29681789
Int J Obes (Lond). 2016 Oct;40(10):1494-1502
pubmed: 27163744
Int J Obes Relat Metab Disord. 2004 Apr;28(4):559-67
pubmed: 14770200
J Surg Oncol. 2004 Dec 15;88(4):261-6
pubmed: 15565587
Clin Exp Pharmacol Physiol. 2012 Feb;39(2):161-7
pubmed: 21418088
Cancer J. 2014 May-Jun;20(3):170-5
pubmed: 24855003
Cancer Causes Control. 1996 Mar;7(2):253-63
pubmed: 8740738
Gastroenterology. 2010 Nov;139(5):1549-58, 1558.e1
pubmed: 20691689
Diabetes. 2002 Feb;51(2):271-5
pubmed: 11812732
Front Oncol. 2019 Feb 19;9:76
pubmed: 30838175
Pain. 2016 Sep;157(9):2097-103
pubmed: 27227691
Cancer Prev Res (Phila). 2018 Jul;11(7):393-402
pubmed: 29636352
Nat Rev Microbiol. 2016 Jan;14(1):20-32
pubmed: 26499895
J Biosci Bioeng. 2014 Oct;118(4):476-81
pubmed: 24721123
Clin Chim Acta. 2018 Dec;487:357-362
pubmed: 30296444
J Nutr. 2016 Feb;146(2):283-9
pubmed: 26674761
Biochem J. 2018 Mar 15;475(5):1019-1035
pubmed: 29437994
Methods. 2018 Oct 1;149:59-68
pubmed: 29704665
Cancer. 2014 Oct 1;120(19):3049-57
pubmed: 24894841
Front Microbiol. 2017 Nov 15;8:2224
pubmed: 29187837
Diabetologia. 2015 Sep;58(9):2133-43
pubmed: 26058503
Nat Rev Cancer. 2004 Jul;4(7):551-61
pubmed: 15229480
Cancer Prev Res (Phila). 2012 Dec;5(12):1358-67
pubmed: 22961778
J Biol Chem. 2007 Jan 12;282(2):1518-28
pubmed: 17121838
PLoS One. 2014 Sep 15;9(9):e104083
pubmed: 25222131
Am J Clin Nutr. 1998 Aug;68(2):291-5
pubmed: 9701185
Ann Surg Oncol. 2008 Sep;15(9):2388-94
pubmed: 18622647
Curr Opin Gastroenterol. 2015 Mar;31(2):159-65
pubmed: 25584736
Cancer Metab. 2016 Jun 06;4:11
pubmed: 27275383
Eur J Pharmacol. 2013 Jan 15;699(1-3):6-13
pubmed: 23201070
Obes Res Clin Pract. 2018 May - Jun;12(3):251-259
pubmed: 29428365
BMC Genomics. 2015;16 Suppl 7:S4
pubmed: 26100814
Eur J Surg Oncol. 2015 Mar;41(3):300-8
pubmed: 25468456
World J Surg Oncol. 2014 May 24;12:164
pubmed: 24884764
Dis Colon Rectum. 2001 Feb;44(2):251-8
pubmed: 11227943
J Proteome Res. 2006 Oct;5(10):2780-8
pubmed: 17022649
Clin Exp Metastasis. 2009;26(5):415-24
pubmed: 19267249
J Biol Chem. 2014 Feb 28;289(9):5950-9
pubmed: 24403081
J Exp Med. 2018 Feb 5;215(2):383-396
pubmed: 29339445
Medicine (Baltimore). 2017 Oct;96(42):e8241
pubmed: 29049212
PLoS One. 2013 Aug 06;8(8):e70803
pubmed: 23940645
Biochem J. 1961 Mar;78:541-50
pubmed: 13756126
Eur J Cancer. 1995 Jul-Aug;31A(7-8):1067-70
pubmed: 7576993
Cancer Prev Res (Phila). 2015 Jul;8(7):620-7
pubmed: 25930050
JAMA. 2019 Jan 1;321(1):23
pubmed: 30620358
Clin Transl Gastroenterol. 2014 Mar 20;5:e54
pubmed: 24646506
Nat Biotechnol. 2019 Aug;37(8):852-857
pubmed: 31341288
Curr Opin Biotechnol. 2016 Feb;37:16-23
pubmed: 26426959
J Adv Res. 2017 Nov 24;11:33-41
pubmed: 30034874
Int J Obes (Lond). 2006 Apr;30 Suppl 1:S7-S12
pubmed: 16570107