Effect of ancient wheat pasta on gut microbiota composition and bacteria-derived metabolites: A randomized controlled trial.

MCFAs SCFAs ancient wheat gut microbiota modern wheat pasta

Journal

Frontiers in nutrition
ISSN: 2296-861X
Titre abrégé: Front Nutr
Pays: Switzerland
ID NLM: 101642264

Informations de publication

Date de publication:
2022
Historique:
received: 17 06 2022
accepted: 01 07 2022
entrez: 22 8 2022
pubmed: 23 8 2022
medline: 23 8 2022
Statut: epublish

Résumé

In recent years, many studies have suggested that ancient wheat products might have beneficial effects on cardiometabolic risk profile, but little is known about their effect on gut microbiota (GM). The aim of the present study was to evaluate whether a replacement diet with pasta made from ancient wheat (AD) could influence the GM composition and its metabolites' production compared to a replacement diet with pasta made from modern wheat (CD). A randomized, double-blinded crossover trial with two intervention phases was conducted on 20 clinically healthy adults (9 females; 11 males; mean age 43.1 ± 12.5 years). Study participants were assigned to consume pasta made using semi-whole flour from organic wheat that was either from ancient or modern control wheat for 8 weeks in a random order. An 8-week washout period was implemented between the interventions. Stool samples were collected from all subjects at the beginning and at the end of each intervention period. GM composition, and short- (SCFAs) and medium- chain fatty acids (MCFAs) production was evaluated. Dietary interventions did not produce significant diversity in the GM composition at higher ranks (phylum, class, order and family), but only at genus level. In detail, the AD significantly (adj. p < 0.05) changed the abundance of A short-term replacement diet with both ancient and modern wheat pasta determined significant changes in GM composition at the genus level but notably the AD resulted in a greater beneficial impact on anti-inflammatory SCFAs.

Sections du résumé

Background and aim UNASSIGNED
In recent years, many studies have suggested that ancient wheat products might have beneficial effects on cardiometabolic risk profile, but little is known about their effect on gut microbiota (GM). The aim of the present study was to evaluate whether a replacement diet with pasta made from ancient wheat (AD) could influence the GM composition and its metabolites' production compared to a replacement diet with pasta made from modern wheat (CD).
Methods UNASSIGNED
A randomized, double-blinded crossover trial with two intervention phases was conducted on 20 clinically healthy adults (9 females; 11 males; mean age 43.1 ± 12.5 years). Study participants were assigned to consume pasta made using semi-whole flour from organic wheat that was either from ancient or modern control wheat for 8 weeks in a random order. An 8-week washout period was implemented between the interventions. Stool samples were collected from all subjects at the beginning and at the end of each intervention period. GM composition, and short- (SCFAs) and medium- chain fatty acids (MCFAs) production was evaluated.
Results UNASSIGNED
Dietary interventions did not produce significant diversity in the GM composition at higher ranks (phylum, class, order and family), but only at genus level. In detail, the AD significantly (adj. p < 0.05) changed the abundance of
Conclusion UNASSIGNED
A short-term replacement diet with both ancient and modern wheat pasta determined significant changes in GM composition at the genus level but notably the AD resulted in a greater beneficial impact on anti-inflammatory SCFAs.

Identifiants

pubmed: 35990344
doi: 10.3389/fnut.2022.971666
pmc: PMC9386222
doi:

Types de publication

Journal Article

Langues

eng

Pagination

971666

Informations de copyright

Copyright © 2022 Baldi, Dinu, Pagliai, Colombini, Di Gloria, Curini, Pallecchi, Ramazzotti, Bartolucci, Benedettelli, Amedei and Sofi.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Références

Nat Methods. 2016 Jul;13(7):581-3
pubmed: 27214047
Curr Res Microb Sci. 2021 Jun 17;2:100043
pubmed: 34841334
J Nutr Biochem. 2018 Feb;52:1-9
pubmed: 29065353
NPJ Parkinsons Dis. 2021 Mar 10;7(1):27
pubmed: 33692356
J Acad Nutr Diet. 2020 Nov;120(11):1859-1883.e31
pubmed: 32933853
Gastroenterology. 2015 May;148(6):1158-74.e4
pubmed: 25680668
Gut. 2018 Sep;67(9):1716-1725
pubmed: 29934437
J Gastroenterol Hepatol. 2018 Nov;33(11):1844-1852
pubmed: 29744928
Nat Biotechnol. 2019 Aug;37(8):852-857
pubmed: 31341288
Pain Med. 2020 Oct 1;21(10):2366-2372
pubmed: 32488245
Gut. 2021 Mar;70(3):595-605
pubmed: 33051190
Nutrients. 2020 Sep 20;12(9):
pubmed: 32962219
Compr Rev Food Sci Food Saf. 2019 Sep;18(5):1437-1452
pubmed: 33336916
Int J Food Sci Nutr. 2021 May;72(3):367-374
pubmed: 32718191
Nutrients. 2019 Nov 26;11(12):
pubmed: 31779167
Lancet. 2019 Feb 2;393(10170):434-445
pubmed: 30638909
J Physiol. 2017 Dec 1;595(23):7023-7038
pubmed: 29023737
Gut. 2021 Jun;70(6):1088-1097
pubmed: 32978245
PLoS One. 2017 Jul 20;12(7):e0180190
pubmed: 28727837
Front Immunol. 2020 Nov 03;11:567801
pubmed: 33224137
Am J Physiol Cell Physiol. 2014 Dec 1;307(11):C979-85
pubmed: 25273884
Nat Biotechnol. 2020 Jun;38(6):685-688
pubmed: 32483366
Crit Rev Food Sci Nutr. 2023;63(1):18-32
pubmed: 34184959
World J Gastroenterol. 2019 Sep 28;25(36):5543-5558
pubmed: 31576099
J Comput Biol. 2017 Nov;24(11):1138-1143
pubmed: 28715235
Dig Liver Dis. 2021 Nov;53(11):1412-1421
pubmed: 34024731
J Cereal Sci. 2018 Jan;79:469-476
pubmed: 29497244
World J Gastroenterol. 2022 May 14;28(18):1965-1980
pubmed: 35664958
Gut. 2016 Feb;65(2):330-9
pubmed: 26338727
Microorganisms. 2020 Apr 15;8(4):
pubmed: 32326636
PeerJ. 2016 Oct 18;4:e2584
pubmed: 27781170
J Clin Biochem Nutr. 2018 Jul;63(1):33-35
pubmed: 30087541
Front Microbiol. 2020 May 27;11:973
pubmed: 32547507
Proc Nutr Soc. 2021 Feb;80(1):37-49
pubmed: 32238208
Gut Microbes. 2021 Jan-Dec;13(1):1965463
pubmed: 34491886

Auteurs

Simone Baldi (S)

Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy.

Monica Dinu (M)

Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy.

Giuditta Pagliai (G)

Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy.

Barbara Colombini (B)

Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy.

Leandro Di Gloria (L)

Department of Biomedical, Experimental and Clinical Sciences "Mario Serio", University of Florence, Florence, Italy.

Lavinia Curini (L)

Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy.

Marco Pallecchi (M)

Department of Neurosciences, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy.

Matteo Ramazzotti (M)

Department of Biomedical, Experimental and Clinical Sciences "Mario Serio", University of Florence, Florence, Italy.

Gianluca Bartolucci (G)

Department of Neurosciences, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy.

Stefano Benedettelli (S)

Department of Agrifood Production and Environmental Sciences, University of Florence, Florence, Italy.

Amedeo Amedei (A)

Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy.
Interdisciplinary Internal Medicine Unit, Careggi University Hospital, Florence, Italy.

Francesco Sofi (F)

Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy.
Unit of Clinical Nutrition, Careggi University Hospital, Florence, Italy.

Classifications MeSH