Dietary calcium phosphate strongly impacts gut microbiome changes elicited by inulin and galacto-oligosaccharides consumption.


Journal

Microbiome
ISSN: 2049-2618
Titre abrégé: Microbiome
Pays: England
ID NLM: 101615147

Informations de publication

Date de publication:
04 11 2021
Historique:
received: 17 03 2021
accepted: 16 08 2021
entrez: 4 11 2021
pubmed: 5 11 2021
medline: 22 3 2022
Statut: epublish

Résumé

Fructo-oligosaccharides (FOS), inulin, and galacto-oligosaccharides (GOS) are widely recognized prebiotics that profoundly affect the intestinal microbiota, including stimulation of bifidobacteria and lactobacilli, and are reported to elicit several health benefits. The combination of dietary FOS and inulin with calcium phosphate was reported to stimulate commensal Lactobacillus populations and protect the host against pathogenic Enterobacteriaceae, but little is known about the effects of GOS in diets with a different level of calcium phosphate. We investigated the microbiome changes elicited by dietary supplementation with GOS or inulin using diets with high (100 mmol/kg) and low (30 mmol/kg) calcium phosphate levels in adult Wistar rats. Rats were acclimatized to the respective experimental diets for 14 days, after which fecal material was collected, DNA was extracted from fecal material, and the V3‑V4 region of the bacterial 16S rRNA gene was amplified with PCR, followed by microbial composition analysis. In tandem, the organic acid profiles of the fecal material were analyzed. Feeding rats non-supplemented (no prebiotic-added) diets revealed that diets rich in calcium phosphate favored members of the Firmicutes and increased fecal lactic, succinic, acetic, propionic, and butyric acid levels. In contrast, relatively low dietary calcium phosphate levels promoted the abundance of mucin degrading genera like Akkermansia and Bacteroides, and resulted in increased fecal propionic acid levels and modest increases in lactic and butyric acid levels. Irrespective of the calcium phosphate levels, supplementation with GOS or inulin strongly stimulated Bifidobacterium, while only high calcium phosphate diets increased the endogenous Faecalibaculum populations. Despite the prebiotic's substantial difference in chemical structure, sugar composition, oligomer size, and the microbial degradation pathway involved in their utilization, inulin and GOS modulated the gut microbiota very similarly, in a manner that strongly depended on the dietary calcium phosphate level. Therefore, our study implies that the collection of detailed diet information including micronutrient balance is necessary to correctly assess diet-driven microbiota analysis. Video Abstract.

Sections du résumé

BACKGROUND
Fructo-oligosaccharides (FOS), inulin, and galacto-oligosaccharides (GOS) are widely recognized prebiotics that profoundly affect the intestinal microbiota, including stimulation of bifidobacteria and lactobacilli, and are reported to elicit several health benefits. The combination of dietary FOS and inulin with calcium phosphate was reported to stimulate commensal Lactobacillus populations and protect the host against pathogenic Enterobacteriaceae, but little is known about the effects of GOS in diets with a different level of calcium phosphate.
METHODS
We investigated the microbiome changes elicited by dietary supplementation with GOS or inulin using diets with high (100 mmol/kg) and low (30 mmol/kg) calcium phosphate levels in adult Wistar rats. Rats were acclimatized to the respective experimental diets for 14 days, after which fecal material was collected, DNA was extracted from fecal material, and the V3‑V4 region of the bacterial 16S rRNA gene was amplified with PCR, followed by microbial composition analysis. In tandem, the organic acid profiles of the fecal material were analyzed.
RESULTS
Feeding rats non-supplemented (no prebiotic-added) diets revealed that diets rich in calcium phosphate favored members of the Firmicutes and increased fecal lactic, succinic, acetic, propionic, and butyric acid levels. In contrast, relatively low dietary calcium phosphate levels promoted the abundance of mucin degrading genera like Akkermansia and Bacteroides, and resulted in increased fecal propionic acid levels and modest increases in lactic and butyric acid levels. Irrespective of the calcium phosphate levels, supplementation with GOS or inulin strongly stimulated Bifidobacterium, while only high calcium phosphate diets increased the endogenous Faecalibaculum populations.
CONCLUSIONS
Despite the prebiotic's substantial difference in chemical structure, sugar composition, oligomer size, and the microbial degradation pathway involved in their utilization, inulin and GOS modulated the gut microbiota very similarly, in a manner that strongly depended on the dietary calcium phosphate level. Therefore, our study implies that the collection of detailed diet information including micronutrient balance is necessary to correctly assess diet-driven microbiota analysis. Video Abstract.

Identifiants

pubmed: 34732247
doi: 10.1186/s40168-021-01148-0
pii: 10.1186/s40168-021-01148-0
pmc: PMC8567720
doi:

Substances chimiques

Calcium Phosphates 0
Oligosaccharides 0
RNA, Ribosomal, 16S 0
Inulin 9005-80-5

Types de publication

Journal Article Research Support, Non-U.S. Gov't Video-Audio Media

Langues

eng

Sous-ensembles de citation

IM

Pagination

218

Informations de copyright

© 2021. The Author(s).

Références

Compr Rev Food Sci Food Saf. 2018 May;17(3):678-697
pubmed: 33350129
PLoS One. 2013 Apr 22;8(4):e61217
pubmed: 23630581
Gut. 1997 Apr;40(4):497-504
pubmed: 9176078
Gut Pathog. 2016 Feb 12;8:3
pubmed: 26877770
Appl Environ Microbiol. 2021 Apr 13;87(9):
pubmed: 33608291
J Nutr. 1999 Mar;129(3):607-12
pubmed: 10082763
J Nutr. 1995 Jun;125(6):1401-12
pubmed: 7782892
PLoS One. 2011 Mar 03;6(3):e16876
pubmed: 21390229
Microb Biotechnol. 2013 Jan;6(1):67-79
pubmed: 23199239
PLoS One. 2012;7(12):e49868
pubmed: 23239972
Gut. 1993 Mar;34(3):365-70
pubmed: 8472985
Clin Nutr. 2019 Dec;38(6):2504-2520
pubmed: 30655101
Br J Nutr. 2001 Aug;86(2):291-300
pubmed: 11502244
Nature. 2017 Aug 24;548(7668):407-412
pubmed: 28813414
Altern Med Rev. 2009 Mar;14(1):36-55
pubmed: 19364192
Appl Environ Microbiol. 2001 Jan;67(1):125-32
pubmed: 11133436
Carbohydr Res. 2016 Apr 29;425:48-58
pubmed: 27035911
Carcinogenesis. 2003 Oct;24(10):1683-90
pubmed: 12896910
J Nutr. 1993 Nov;123(11):1939-51
pubmed: 8229312
Gut. 2003 Nov;52(11):1572-8
pubmed: 14570725
Appl Environ Microbiol. 2019 Oct 30;85(22):
pubmed: 31519661
Gut. 2013 Aug;62(8):1112-21
pubmed: 23135760
Sci Rep. 2020 Dec 10;10(1):21657
pubmed: 33303847
Aliment Pharmacol Ther. 2010 Oct;32(7):872-83
pubmed: 20735782
Early Hum Dev. 2008 Jan;84(1):45-9
pubmed: 17433577
Front Nutr. 2014 Dec 05;1:21
pubmed: 25988123
Nat Methods. 2016 Jul;13(7):581-3
pubmed: 27214047
Biotechniques. 2004 May;36(5):808-12
pubmed: 15152600
Appl Environ Microbiol. 2006 Dec;72(12):7518-30
pubmed: 17028235
Appl Environ Microbiol. 2016 Dec 1;82(23):6983-6993
pubmed: 27663027
J Gen Appl Microbiol. 2012;58(1):11-7
pubmed: 22449746
Carcinogenesis. 2001 Oct;22(10):1653-9
pubmed: 11577005
FEMS Microbiol Rev. 2005 Sep;29(4):625-51
pubmed: 16102595
Nutr Res Rev. 2015 Jun;28(1):42-66
pubmed: 26156216
Appl Environ Microbiol. 2005 Sep;71(9):5501-10
pubmed: 16151143
Gut. 2014 May;63(5):727-35
pubmed: 23804561
J Agric Food Chem. 2019 Dec 18;67(50):13969-13977
pubmed: 31747272
Gut. 2017 Nov;66(11):1968-1974
pubmed: 28213610
Nat Microbiol. 2020 Mar;5(3):511-524
pubmed: 31988379
BMC Genomics. 2013 May 10;14:312
pubmed: 23663691
Carcinogenesis. 2005 Jan;26(1):73-9
pubmed: 15539406
Appl Environ Microbiol. 2006 Aug;72(8):5204-10
pubmed: 16885266
Cancer Epidemiol Biomarkers Prev. 2006 Apr;15(4):717-25
pubmed: 16614114
J Exp Bot. 2009;60(3):727-40
pubmed: 19129163
J Bacteriol. 1992 Feb;174(3):1013-9
pubmed: 1732191
Cancer Res. 1996 Jul 15;56(14):3270-5
pubmed: 8764120
Science. 2005 Mar 25;307(5717):1955-9
pubmed: 15790854
J Nutr. 2012 Jul;142(7):1205-12
pubmed: 22623395
Nutrients. 2015 Jul 08;7(7):5542-55
pubmed: 26184291
Proc Natl Acad Sci U S A. 2011 Oct 25;108(43):17785-90
pubmed: 22006318
Am J Clin Nutr. 2008 Nov;88(5):1438-46
pubmed: 18996881
Proc Natl Acad Sci U S A. 2015 Aug 11;112(32):10038-43
pubmed: 26216954
J Nutr. 2006 Jan;136(1):70-4
pubmed: 16365061
Biomed Chromatogr. 2006 Aug;20(8):674-82
pubmed: 16206138
Appl Environ Microbiol. 2020 May 19;86(11):
pubmed: 32220841
Int J Mol Sci. 2018 Oct 10;19(10):
pubmed: 30308944
Appl Environ Microbiol. 2005 Oct;71(10):6150-8
pubmed: 16204533
Cell. 2016 Nov 17;167(5):1339-1353.e21
pubmed: 27863247
Am J Clin Nutr. 2004 Dec;80(6):1658-64
pubmed: 15585783
Gut. 2004 Apr;53(4):530-5
pubmed: 15016747
Nat Rev Gastroenterol Hepatol. 2016 Dec;13(12):691-706
pubmed: 27848961
Nat Rev Gastroenterol Hepatol. 2017 Aug;14(8):491-502
pubmed: 28611480
J Nutr. 2009 Aug;139(8):1525-33
pubmed: 19535420
Br J Nutr. 2015 Aug 28;114(4):586-95
pubmed: 26218845
Eur J Clin Nutr. 2007 Oct;61(10):1189-95
pubmed: 17268410
Food Microbiol. 2013 Apr;33(2):262-70
pubmed: 23200660
Nutrients. 2020 Jan 31;12(2):
pubmed: 32023943
J Nutr. 2003 Jul;133(7):2313-8
pubmed: 12840199
J Lipid Res. 1994 May;35(5):741-8
pubmed: 8071598
Appl Environ Microbiol. 2016 Dec 30;83(2):
pubmed: 27815279
Nat Rev Gastroenterol Hepatol. 2015 May;12(5):303-10
pubmed: 25824997
Br J Nutr. 2013 Apr 14;109(7):1338-48
pubmed: 22850280
Br J Nutr. 2007 Sep;98(3):540-9
pubmed: 17445348
Br J Nutr. 2005 Apr;93 Suppl 1:S157-61
pubmed: 15877889
Gastroenterology. 2003 Aug;125(2):469-76
pubmed: 12891550
Annu Rev Microbiol. 1979;33:561-94
pubmed: 386933
Int J Food Microbiol. 2010 Dec 15;144(2):285-92
pubmed: 21059476
Br J Nutr. 2010 Dec;104(12):1780-6
pubmed: 20691137
Aliment Pharmacol Ther. 2015 Jul;42(2):158-79
pubmed: 26011307
Osteoporos Int. 2017 Dec;28(12):3315-3324
pubmed: 29026938
Nucleic Acids Res. 2017 Jul 3;45(W1):W180-W188
pubmed: 28449106
Proc Natl Acad Sci U S A. 2013 May 28;110(22):9066-71
pubmed: 23671105
Proc Natl Acad Sci U S A. 2017 Jan 17;114(3):E367-E375
pubmed: 28049818
Int J Cancer. 2002 Mar 10;98(2):241-56
pubmed: 11857415
Aliment Pharmacol Ther. 2009 Mar 1;29(5):508-18
pubmed: 19053980

Auteurs

Jori Fuhren (J)

Host Microbe Interactomics Group, Wageningen University & Research, De Elst 1, 6708 WD, Wageningen, The Netherlands.

Markus Schwalbe (M)

Host Microbe Interactomics Group, Wageningen University & Research, De Elst 1, 6708 WD, Wageningen, The Netherlands.

Jos Boekhorst (J)

Host Microbe Interactomics Group, Wageningen University & Research, De Elst 1, 6708 WD, Wageningen, The Netherlands.

Christiane Rösch (C)

Laboratory of Food Chemistry, Wageningen University & Research, Bornse Weilanden 9, 6708 WG, Wageningen, The Netherlands.

Henk A Schols (HA)

Laboratory of Food Chemistry, Wageningen University & Research, Bornse Weilanden 9, 6708 WG, Wageningen, The Netherlands.

Michiel Kleerebezem (M)

Host Microbe Interactomics Group, Wageningen University & Research, De Elst 1, 6708 WD, Wageningen, The Netherlands. michiel.kleerebezem@wur.nl.

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