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Effects of Different Foods and Cooking Methods on the Gut Microbiota: an Approach

Abstract

To support personalized diets targeting the gut microbiota, we employed an digestion-fermentation model and 16S rRNA gene sequencing to analyze the microbiota growing on representative foods of the Mediterranean and Western diets, as well as the influence of cooking methods. Plant- and animal-derived foods had significantly different impacts on the abundances of bacterial taxa. Animal and vegetable fats, fish and dairy products led to increases in many taxa, mainly within the Lachnospiraceae. In particular, fats favored increases in the beneficial bacteria , , and . However, butter, as well as gouda cheese and fish, also resulted in the increase of , associated to several diseases. Frying and boiling produced the most distinct effects on the microbiota, with members of the Lachnospiraceae and Ruminococcaceae responding the most to the cooking method employed. Nevertheless, cooking effects were highly individualized and food-dependent, challenging the investigation of their role in personalized diets.

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References
1.
Wan Y, Wang F, Yuan J, Li J, Jiang D, Zhang J . Effects of dietary fat on gut microbiota and faecal metabolites, and their relationship with cardiometabolic risk factors: a 6-month randomised controlled-feeding trial. Gut. 2019; 68(8):1417-1429. DOI: 10.1136/gutjnl-2018-317609. View

2.
Callahan B, McMurdie P, Rosen M, Han A, Johnson A, Holmes S . DADA2: High-resolution sample inference from Illumina amplicon data. Nat Methods. 2016; 13(7):581-3. PMC: 4927377. DOI: 10.1038/nmeth.3869. View

3.
Monlau F, Sambusiti C, Barakat A, Quemeneur M, Trably E, Steyer J . Do furanic and phenolic compounds of lignocellulosic and algae biomass hydrolyzate inhibit anaerobic mixed cultures? A comprehensive review. Biotechnol Adv. 2014; 32(5):934-51. DOI: 10.1016/j.biotechadv.2014.04.007. View

4.
Haro C, Garcia-Carpintero S, Rangel-Zuniga O, Alcala-Diaz J, Landa B, Clemente J . Consumption of Two Healthy Dietary Patterns Restored Microbiota Dysbiosis in Obese Patients with Metabolic Dysfunction. Mol Nutr Food Res. 2017; 61(12). DOI: 10.1002/mnfr.201700300. View

5.
Kaul A, Mandal S, Davidov O, Peddada S . Analysis of Microbiome Data in the Presence of Excess Zeros. Front Microbiol. 2017; 8:2114. PMC: 5682008. DOI: 10.3389/fmicb.2017.02114. View