In vitro gut microbiome response to carbohydrate supplementation is acutely affected by a sudden change in diet.
Carbohydrate metabolism
Carbohydrate-active enzymes
Gut microbiome
Gut microbiota
In vitro fermentation
Meal Ready-to-Eat (MRE)
Metabolic competition
Microbial ecology
Microbial functional potential
Next generation sequencing
Journal
BMC microbiology
ISSN: 1471-2180
Titre abrégé: BMC Microbiol
Pays: England
ID NLM: 100966981
Informations de publication
Date de publication:
28 01 2023
28 01 2023
Historique:
received:
07
05
2021
accepted:
16
01
2023
entrez:
28
1
2023
pubmed:
29
1
2023
medline:
1
2
2023
Statut:
epublish
Résumé
Interactions between diet, stress and the gut microbiome are of interest as a means to modulate health and performance. Here, in vitro fermentation was used to explore the effects of a sudden change in diet, 21 days sole sustenance on the Meal, Ready-to-Eat (MRE) U.S. military combat ration, on inter-species competition and functional potential of the human gut microbiota. Human fecal samples collected before and after MRE intervention or consuming a habitual diet (HAB) were introduced to nutrient-rich media supplemented with starch for in vitro fermentation under ascending colon conditions. 16S rRNA amplicon and Whole-metagenome sequencing (WMS) were used to measure community composition and functional potential. Specific statistical analyses were implemented to detect changes in relative abundance from taxa, genes and pathways. Differential changes in relative abundance of 11 taxa, Dorea, Lachnospira, Bacteroides fragilis, Akkermansia muciniphila, Bifidobacterium adolescentis, Betaproteobacteria, Enterobacteriaceae, Bacteroides egerthii, Ruminococcus bromii, Prevotella, and Slackia, and nine Carbohydrate-Active Enzymes, specifically GH13_14, over the 24 h fermentation were observed as a function of the diet intervention and correlated to specific taxa of interest. These findings suggest that consuming MRE for 21 days acutely effects changes in gut microbiota structure in response to carbohydrate but may induce alterations in metabolic capacity. Additionally, these findings demonstrate the potential of starch as a candidate supplemental strategy to functionally modulate specific gut commensals during stress-induced states.
Sections du résumé
BACKGROUND
Interactions between diet, stress and the gut microbiome are of interest as a means to modulate health and performance. Here, in vitro fermentation was used to explore the effects of a sudden change in diet, 21 days sole sustenance on the Meal, Ready-to-Eat (MRE) U.S. military combat ration, on inter-species competition and functional potential of the human gut microbiota. Human fecal samples collected before and after MRE intervention or consuming a habitual diet (HAB) were introduced to nutrient-rich media supplemented with starch for in vitro fermentation under ascending colon conditions. 16S rRNA amplicon and Whole-metagenome sequencing (WMS) were used to measure community composition and functional potential. Specific statistical analyses were implemented to detect changes in relative abundance from taxa, genes and pathways.
RESULTS
Differential changes in relative abundance of 11 taxa, Dorea, Lachnospira, Bacteroides fragilis, Akkermansia muciniphila, Bifidobacterium adolescentis, Betaproteobacteria, Enterobacteriaceae, Bacteroides egerthii, Ruminococcus bromii, Prevotella, and Slackia, and nine Carbohydrate-Active Enzymes, specifically GH13_14, over the 24 h fermentation were observed as a function of the diet intervention and correlated to specific taxa of interest.
CONCLUSIONS
These findings suggest that consuming MRE for 21 days acutely effects changes in gut microbiota structure in response to carbohydrate but may induce alterations in metabolic capacity. Additionally, these findings demonstrate the potential of starch as a candidate supplemental strategy to functionally modulate specific gut commensals during stress-induced states.
Identifiants
pubmed: 36707764
doi: 10.1186/s12866-023-02776-2
pii: 10.1186/s12866-023-02776-2
pmc: PMC9883884
doi:
Substances chimiques
RNA, Ribosomal, 16S
0
Carbohydrates
0
Starch
9005-25-8
Banques de données
ClinicalTrials.gov
['NCT02423551']
Types de publication
Journal Article
Research Support, U.S. Gov't, Non-P.H.S.
Langues
eng
Sous-ensembles de citation
IM
Pagination
32Informations de copyright
© 2023. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.
Références
Int J Syst Evol Microbiol. 2002 Mar;52(Pt 2):423-428
pubmed: 11931151
Psychoneuroendocrinology. 2021 Feb;124:105047
pubmed: 33307493
Nat Methods. 2014 Nov;11(11):1144-6
pubmed: 25218180
Gut. 2016 Nov;65(11):1812-1821
pubmed: 26416813
Cell Rep Med. 2021 Sep 07;2(9):100393
pubmed: 34622230
Methods. 2016 Jun 1;102:3-11
pubmed: 27012178
Appl Environ Microbiol. 2006 May;72(5):3593-9
pubmed: 16672507
Nat Methods. 2018 Nov;15(11):962-968
pubmed: 30377376
Cell Host Microbe. 2017 Jan 11;21(1):84-96
pubmed: 28041931
Environ Microbiol. 2016 May;18(5):1403-14
pubmed: 26271760
J Nutr Biochem. 2019 Oct;72:108217
pubmed: 31473505
Front Microbiol. 2016 May 09;7:658
pubmed: 27242689
Br J Nutr. 2014 Feb;111(3):387-402
pubmed: 23931069
Nat Biotechnol. 2016 Sep;34(9):942-9
pubmed: 27454739
Science. 2001 May 11;292(5519):1115-8
pubmed: 11352068
Microbiology (Reading). 2017 Feb;163(2):161-174
pubmed: 28270263
Obesity (Silver Spring). 2013 May;21(5):981-4
pubmed: 23784900
PeerJ. 2019 Jul 26;7:e7359
pubmed: 31388474
Cell Host Microbe. 2019 Jun 12;25(6):789-802.e5
pubmed: 31194939
Genome Biol. 2017 Nov 30;18(1):228
pubmed: 29187204
Microb Ecol. 1998 Mar;35(2):180-7
pubmed: 9541554
Nature. 2012 Sep 13;489(7415):250-6
pubmed: 22972298
Appl Environ Microbiol. 1977 Nov;34(5):529-33
pubmed: 563214
Appl Environ Microbiol. 2003 Sep;69(9):5731-5
pubmed: 12957972
Bioinformatics. 2015 May 15;31(10):1674-6
pubmed: 25609793
Nat Methods. 2016 Jul;13(7):581-3
pubmed: 27214047
ISME J. 2012 Aug;6(8):1535-43
pubmed: 22343308
Nat Biotechnol. 2018 Nov;36(10):996-1004
pubmed: 30148503
Bioinformatics. 2016 Feb 15;32(4):605-7
pubmed: 26515820
Microbiome. 2019 Jun 13;7(1):91
pubmed: 31196177
J Microbiol Methods. 2014 Dec;107:1-7
pubmed: 25194233
Sci Rep. 2016 Jun 27;6:28484
pubmed: 27346372
Microorganisms. 2020 Nov 29;8(12):
pubmed: 33260318
Chin Med J (Engl). 2019 Aug 5;132(15):1843-1855
pubmed: 31306229
mSphere. 2018 May 16;3(3):
pubmed: 29769378
PLoS One. 2010 Nov 29;5(11):e15046
pubmed: 21151493
Front Microbiol. 2019 Jun 26;10:1459
pubmed: 31316490
Nat Methods. 2015 Oct;12(10):902-3
pubmed: 26418763
Inflamm Bowel Dis. 2013 Mar;19(3):481-8
pubmed: 23385241
Food Res Int. 2019 Jan;115:23-31
pubmed: 30599936
PLoS One. 2016 Jan 08;11(1):e0146406
pubmed: 26745269
PLoS One. 2010 Mar 10;5(3):e9490
pubmed: 20224823
Am J Gastroenterol. 2010 Nov;105(11):2420-8
pubmed: 20648002
Front Microbiol. 2018 Sep 11;9:2013
pubmed: 30258412
Front Microbiol. 2015 Aug 18;6:825
pubmed: 26347720
Genome Biol. 2012 Apr 16;13(9):R79
pubmed: 23013615
PLoS One. 2013 Sep 16;8(9):e72766
pubmed: 24066026
Sci Rep. 2021 Sep 3;11(1):17662
pubmed: 34480044
Can J Microbiol. 2013 Dec;59(12):771-7
pubmed: 24313449
mBio. 2017 Oct 17;8(5):
pubmed: 29042495
Nat Methods. 2017 Apr;14(4):417-419
pubmed: 28263959
AMB Express. 2018 Jun 16;8(1):98
pubmed: 29909506
ISME J. 2015 Mar 17;9(4):968-79
pubmed: 25325381
FEMS Microbiol Ecol. 2014 Feb;87(2):357-67
pubmed: 24117923
PeerJ. 2015 Oct 08;3:e1319
pubmed: 26500826
Nutrients. 2018 Feb 06;10(2):
pubmed: 29415499
Front Immunol. 2018 Sep 10;9:2042
pubmed: 30250472
Bioinformatics. 2014 Jul 15;30(14):2068-9
pubmed: 24642063
Microbiome. 2018 Sep 15;6(1):158
pubmed: 30219103
BMC Bioinformatics. 2019 Apr 16;20(1):188
pubmed: 30991942
Nat Biotechnol. 2019 Aug;37(8):852-857
pubmed: 31341288
Gut Microbes. 2019;10(4):439-446
pubmed: 31309868
Clin Microbiol Rev. 2007 Oct;20(4):593-621
pubmed: 17934076
Nucleic Acids Res. 2018 Jul 2;46(W1):W95-W101
pubmed: 29771380
Nucleic Acids Res. 2018 Jan 4;46(D1):D516-D521
pubmed: 30053267