A weight-loss model based on baseline microbiota and genetic scores for selection of dietary treatments in overweight and obese population

Cuevas-Sierra, Amanda; Milagro, Fermı́n I.; Guruceaga, Elizabeth; Cuervo, Marta; Goñi, Leticia; Garcı́a-Granero, Marta; Martínez, J. Alfredo; Riezu‐Boj, José I.

doi:10.1016/j.clnu.2022.06.008

Cited by 22 publications

(13 citation statements)

References 66 publications

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“…Furthermore, the recent work published by Cuevas-Sierra and coworkers analyzed the baseline microbiota predictive value for weight loss dietary strategies upon low-fat and high-protein regimes separately. When sex was included in the data modeling, the observed predictions were notably improved (73). The above results are strongly suggestive of directions to adopt in future studies.…”

Section: Discussionmentioning

confidence: 54%

The microbiota composition drives personalized nutrition: Gut microbes as predictive biomarkers for the success of weight loss diets

Hernández-Calderón

Wiedemann²,

Benı́tez-Páez³

2022

Front. Nutr.

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The investigation of the human gut microbiome during recent years has permitted us to understand its relevance for human health at a systemic level, making it possible to establish different functional axes (e.g., the gut-brain, gut-liver, and gut-lung axes), which support the organ-like status conferred to this microecological component of our body. The human gut microbiota is extremely variable but modifiable via diet, a fact that allows targeting of microbes through defined dietary strategies to uncover cost-effective therapies to minimize the burden of non-communicable diseases such as pandemic obesity and overweight and its metabolic comorbidities. Nevertheless, randomly controlled dietary interventions regularly exhibit low to moderate degrees of success in weight control, making their implementation difficult in clinical practice. Here, we review the predictive value of the baseline gut microbiota configurations to anticipate the success of dietary interventions aimed at weight loss, mostly based on caloric restriction regimes and oral fiber supplementation. This emergent research concept fits into precision medicine by considering different diet patterns and adopting the best one, based on the individual microbiota composition, to reach significant adiposity reduction and improve metabolic status. We review the results from this fresh perspective of investigation, taking into account studies released very recently. We also discuss some future outlooks in the field and potential pitfalls to overcome with the aim of gaining knowledge in the field and achieving breakthroughs in personalized nutrition.

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Section: Discussionmentioning

confidence: 54%

The microbiota composition drives personalized nutrition: Gut microbes as predictive biomarkers for the success of weight loss diets

Hernández-Calderón

Wiedemann²,

Benı́tez-Páez³

2022

Front. Nutr.

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“…It has been reported that with the addition of polysaccharides in high-fat diet mice or in vitro fecal fermentation, the relative abundance of Prevotellaceae increased. , Likewise, Prevotellaceae was suggested to contribute to reduce gut dysbiosis in type 2 diabetic mice . A very recent report also claimed that there might be a negative relationship between the relative abundance of Acidaminococcaceae and body fat, body mass index, and body weight in humans on a moderately high protein diet . Furthermore, a study in obese children has suggested the relative abundance of Oscillospiraceae might be negatively correlated to cholesterol .…”

Section: Resultsmentioning

confidence: 99%

“…37 A very recent report also claimed that there might be a negative relationship between the relative abundance of Acidaminococcaceae and body fat, body mass index, and body weight in humans on a moderately high protein diet. 38 Furthermore, a study in obese children has suggested the relative abundance of Oscillospiraceae might be negatively correlated to cholesterol. 39 Therefore, the modulation in these health-related gut bacteria may indicate the potential prebiotic effect of FGAX samples.…”

Section: Changes At the Phylum Levelmentioning

confidence: 99%

Soluble, Diferuloylated Corn Bran Glucuronoarabinoxylans Modulate the Human Gut Microbiota In Vitro

Lin

Holck

et al. 2023

J. Agric. Food Chem.

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Corn bran is exceptionally rich in substituted glucuronoarabinoxylan polysaccharides, which are monoferuloylated and cross-linked by diferulic acid moieties. Here, we assessed the potential prebiotic activity of three enzymatically solubilized corn bran glucuronoarabinoxylans: medium feruloylated (FGAX-M), laccase cross-linked FGAX-M (FGAX-H), and alkali-treated FGAX-M devoid of feruloyl substitutions (FGAX-B). We examined the influence of these soluble FGAX samples on the gut microbiome composition and functionality during in vitro simulated colon fermentations, determined by 16S rRNA gene amplicon sequencing and assessment of short-chain fatty acid (SCFAs) production. All FGAX samples induced changes in the relative composition of the microbiota and the SCFA levels after 24 h of in vitro fermentation. The changes induced by FGAX-M and FGAX-H tended to be more profound and more similar to the changes induced by inulin than changes conferred by FGAX-B. The microbiota changes induced by FGAX-M and FGAX-H correlated with an increase in the relative abundance of Anaerostipes and with increased butyric acid production, while the changes induced by the FGAX-B sample were less compelling. The results imply that solubilized, substituted diferuloylated corn bran glucuronoarabinoxylans may be potential prebiotic candidates and that both single feruloylations and diferuloyl cross-links influence the prebiotic potential of these arabinoxylan compounds.

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“…A limitation of this line of research is that we do not have a clear consensus on how the underlying gut microbiome composition of a given group of individuals and the subsequent remodeling of the gut microbiota with long-chain n-3 PUFAs will impact physiological outcomes. As discussed below, an understanding of the microbiome integrated with other known variables of heterogeneity in the response to EPA and DHA will be critical in driving precision studies, as revealed in other disciplines relying on similar approaches [15][16][17].…”

Section: Gut Microbiomementioning

confidence: 99%

Heterogeneity in the response to n-3 polyunsaturated fatty acids

Shaikh

Bazinet

2023

Current Opinion in Clinical Nutrition &Amp; Metabolic Care

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Purpose of reviewA central goal in the study of long chain n-3 polyunsaturated fatty acids (PUFA) is to translate findings from the basic sciences to the population level to improve human health and prevent chronic diseases. A tenet of this vision is to think in terms of precision medicine and nutrition, that is, stratification of individuals into differing groups that will have different needs across the lifespan for n-3 PUFAs. Therefore, there is a critical need to identify the sources of heterogeneity in the human population in the dietary response to n-3 PUFA intervention.Recent findingsWe briefly review key sources of heterogeneity in the response to intake of long chain n-3 PUFAs. These include background diet, host genome, composition of the gut microbiome, and sex. We also discuss the need to integrate data from newer rodent models (e.g. population-based approaches), multi -omics, and analyses of big data using machine learning and data-driven cluster analyses.SummaryAccounting for vast heterogeneity in the human population, particularly with the use of big data integrated with preclinical evidence, will drive the next generation of precision nutrition studies and randomized clinical trials with long-chain n-3 PUFAs.

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A weight-loss model based on baseline microbiota and genetic scores for selection of dietary treatments in overweight and obese population

Cited by 22 publications

References 66 publications

The microbiota composition drives personalized nutrition: Gut microbes as predictive biomarkers for the success of weight loss diets

The microbiota composition drives personalized nutrition: Gut microbes as predictive biomarkers for the success of weight loss diets

Soluble, Diferuloylated Corn Bran Glucuronoarabinoxylans Modulate the Human Gut Microbiota In Vitro

Heterogeneity in the response to n-3 polyunsaturated fatty acids

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