Literature DB >> 32034403

Pretreatment Prevotella-to-Bacteroides ratio and salivary amylase gene copy number as prognostic markers for dietary weight loss.

Mads F Hjorth1, Lars Christensen1, Thomas M Larsen1, Henrik M Roager1, Lukasz Krych2, Witold Kot3, Dennis S Nielsen2, Christian Ritz1, Arne Astrup1.   

Abstract

BACKGROUND: The inconsistent link observed between salivary amylase gene copy number (AMY1 CN) and weight management is likely modified by diet and microbiome.
OBJECTIVE: Based on analysis of a previously published study, we investigated the hypothesis that interaction between diet, Prevotella-to-Bacteriodes ratio (P/B ratio), and AMY1 CN influence weight change.
METHODS: Sixty-two people with increased waist circumference were randomly assigned to receive an ad libitum New Nordic Diet (NND) high in dietary fiber, whole grain, intrinsic sugars, and starch or an Average Danish (Western) Diet (ADD) for 26 weeks. All foods were provided free of charge. Before subjects were randomly assigned to receive the NND or ADD diet, blood and fecal samples were collected, from which AMY1 CN and P/B ratio, respectively, were determined. Body weight change was described by using linear mixed models, including biomarker [log10(P/B ratio) and/or AMY1 CN] diet-group interactions.
RESULTS: Baseline means ± SDs of log10(P/B ratio) and AMY1 CN were -2.1 ± 1.8 and 6.6 ± 2.4, respectively. Baseline P/B ratio predicted a 0.99-kg/unit (95% CI: 0.40, 1.57; n = 54; P < 0.001) higher weight loss for those subjects on the NND compared with those on the ADD diet, whereas AMY1 CN was not found to predict weight loss differences between the NND and ADD groups [0.05 kg/CN (95% CI: -0.40, 0.51; n = 54; P = 0.83)]. However, among subjects with low AMY1 CN (<6.5 copies), baseline P/B ratio predicted a 2.12-kg/unit (95% CI: 1.37, 2.88; n = 30; P < 0.001) higher weight loss for the NND group than the ADD group. No such differences in weight loss were found among subjects in both groups with high AMY1 CN [-0.17 kg/unit (95% CI: -1.01, 0.66; n = 24; P = 0.68)].
CONCLUSIONS: The combined use of low AMY1 CN and pretreatment P/B ratio for weight loss prediction led to highly individualized weight loss results with the introduction of more fiber, whole grain, intrinsic sugars, and starch in the diet. These preliminary observations suggest that more undigested starch reaches the colon in individuals with low AMY1 CN, and that the fate of this starch depends on the gut microbiota composition. This trial was registered at clinicaltrials.gov as NCT01195610.
Copyright © The Author(s) 2020.

Entities:  

Keywords:  zzm321990 Prevotellazzm321990 ; amylase; enterotypes; genes; health; microbiota; weight

Year:  2020        PMID: 32034403     DOI: 10.1093/ajcn/nqaa007

Source DB:  PubMed          Journal:  Am J Clin Nutr        ISSN: 0002-9165            Impact factor:   7.045


  10 in total

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Review 2.  Impact of Food-Based Weight Loss Interventions on Gut Microbiome in Individuals with Obesity: A Systematic Review.

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3.  Impact of salivary and pancreatic amylase gene copy numbers on diabetes, obesity, and functional profiles of microbiome in Northern Japanese population.

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Journal:  Sci Rep       Date:  2022-05-10       Impact factor: 4.996

Review 4.  Goals in Nutrition Science 2020-2025.

Authors:  Josep Bassaganya-Riera; Elliot M Berry; Ellen E Blaak; Barbara Burlingame; Johannes le Coutre; Willem van Eden; Ahmed El-Sohemy; J Bruce German; Dietrich Knorr; Christophe Lacroix; Maurizio Muscaritoli; David C Nieman; Michael Rychlik; Andrew Scholey; Mauro Serafini
Journal:  Front Nutr       Date:  2021-02-09

5.  What is the promise of personalised nutrition?

Authors:  Paola G Ferrario; Bernhard Watzl; Grith Møller; Christian Ritz
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6.  Calorie restriction improves metabolic state independently of gut microbiome composition: a randomized dietary intervention trial.

Authors:  Solomon A Sowah; Alessio Milanese; Ruth Schübel; Jakob Wirbel; Ece Kartal; Theron S Johnson; Frank Hirche; Mirja Grafetstätter; Tobias Nonnenmacher; Romy Kirsten; Marina López-Nogueroles; Agustín Lahoz; Kathrin V Schwarz; Jürgen G Okun; Cornelia M Ulrich; Johanna Nattenmüller; Arnold von Eckardstein; Daniel Müller; Gabriele I Stangl; Rudolf Kaaks; Tilman Kühn; Georg Zeller
Journal:  Genome Med       Date:  2022-03-14       Impact factor: 11.117

7.  Prevotella abundance and salivary amylase gene copy number predict fat loss in response to wholegrain diets.

Authors:  Lars Christensen; Mads F Hjorth; Lukasz Krych; Tine Rask Licht; Lotte Lauritzen; Faidon Magkos; Henrik M Roager
Journal:  Front Nutr       Date:  2022-08-22

8.  Perspective: Leveraging the Gut Microbiota to Predict Personalized Responses to Dietary, Prebiotic, and Probiotic Interventions.

Authors:  Sean M Gibbons; Thomas Gurry; Johanna W Lampe; Anirikh Chakrabarti; Veerle Dam; Amandine Everard; Almudena Goas; Gabriele Gross; Michiel Kleerebezem; Jonathan Lane; Johanna Maukonen; Ana Lucia Barretto Penna; Bruno Pot; Ana M Valdes; Gemma Walton; Adrienne Weiss; Yoghatama Cindya Zanzer; Naomi V Venlet; Michela Miani
Journal:  Adv Nutr       Date:  2022-10-02       Impact factor: 11.567

Review 9.  Diet and exercise in the prevention and treatment of type 2 diabetes mellitus.

Authors:  Faidon Magkos; Mads F Hjorth; Arne Astrup
Journal:  Nat Rev Endocrinol       Date:  2020-07-20       Impact factor: 43.330

Review 10.  Diets, nutrients, genes and the microbiome: recent advances in personalised nutrition.

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Journal:  Br J Nutr       Date:  2021-01-29       Impact factor: 3.718

  10 in total

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