Treatment With Multi-Species Probiotics Changes the Functions, Not the Composition of Gut Microbiota in Postmenopausal Women With Obesity: A Randomized, Double-Blind, Placebo-Controlled Study

被引:22
作者
Kaczmarczyk, Mariusz [1 ]
Szulinska, Monika [2 ]
Loniewski, Igor [3 ,4 ]
Kregielska-Narozna, Matylda [2 ]
Skonieczna-Zydecka, Karolina [3 ]
Kosciolek, Tomasz [5 ]
Bezshapkin, Valentyn [5 ]
Bogdanski, Pawel [2 ]
机构
[1] Pomeranian Med Univ, Dept Clin & Mol Biochem, Szczecin, Poland
[2] Poznan Univ Med Sci, Dept Treatment Obes Metab Disorders & Clin Dietet, Poznan, Poland
[3] Pomeranian Med Univ, Dept Biochem Sci, Szczecin, Poland
[4] Pomeranian Med Univ, Dept Human Nutr & Metabol, Szczecin, Poland
[5] Jagiellonian Univ, Malopolska Ctr Biotechnol, Krakow, Poland
关键词
probiotics; microbiota; metabolism; obesity; menopause; FECAL MICROBIOTA; CONTROLLED-TRIAL; DISEASES; DIET; ADULTS;
D O I
10.3389/fcimb.2022.815798
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
Probiotics are known to regulate host metabolism. In randomized controlled trial we aimed to assess whether interventions with probiotic containing following strains: Bifidobacterium bifidum W23, Bifidobacterium lactis W51, Bifidobacterium lactis W52, Lactobacillus acidophilus W37, Levilactobacillus brevis W63, Lacticaseibacillus casei W56, Ligilactobacillus salivarius W24, Lactococcus lactis W19, and Lactococcus lactis W58 affect gut microbiota to promote metabolic effects. By 16S rRNA sequencing we analyzed the fecal microbiota of 56 obese, postmenopausal women randomized into three groups: (1) probiotic dose 2.5 x 10(9) CFU/day (n = 18), (2) 1 x 10(10) CFU/day (n = 18), or (3) placebo (n = 20). In the set of linear mixed-effects models, the interaction between pre- or post-treatment bacterial abundance and time on cardiometabolic parameters was significantly (FDR-adjusted) modified by type of intervention (26 and 19 three-way interactions for the pre-treatment and post-treatment abundance, respectively), indicating the modification of the bio-physiological role of microbiota by probiotics. For example, the unfavorable effects of Erysipelotrichi, Erysipelotrichales, and Erysipelotrichaceae on BMI might be reversed, but the beneficial effect of Betaproteobacteria on BMI was diminished by probiotic treatment. Proinflammatory effect of Bacteroidaceae was alleviated by probiotic administration. However, probiotics did not affect the microbiota composition, and none of the baseline microbiota-related features could predict therapeutic response as defined by cluster analysis. Conclusions: Probiotic intervention alters the influence of microbiota on biochemical, physiological and immunological parameters, but it does not affect diversity and taxonomic composition. Baseline microbiota is not a predictor of therapeutic response to a multispecies probiotic. Further multi-omic and mechanistic studies performed on the bigger cohort of patients are needed to elucidate the cardiometabolic effect of investigated probiotics in postmenopausal obesity.
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页数:15
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