Targeting microbiota in dietary obesity management: a systematic review on randomized control trials in adults

Abstract

Obesity is an alarming public health problem. Tailored nutritional therapy is advisable since emerging evidence on complex cross-talks among multifactorial agents. In this picture, the gut microbiota is highly individualized and intricately dependent on dietary patterns, with implications for obesity management. Most of the papers on the topic are observational and often conflicting. This review aimed to systematically organize the body of evidence on microbiota deriving from dietary trials in adult obesity giving the most certain phylogenetic, and metabolomic signatures in relation to both the host metabolism and phenotype changes published until now. We retrieved 18 randomized control trials on 1385 subjects with obesity who underwent several dietary interventions, including standard diet and healthy dietary regimens. Some phyla and species were more related to diets rich in fibers and others to healthy diets. Weight loss, metabolism improvements, inflammatory markers decrease were specifically related to different microorganisms or functions. The Prevotella/Bacteroides ratio was one of the most reported predictors. People with the burden of obesity comorbidities had the most significant taxonomic changes in parallel with a general improvement. These data emphasize the possibility of using symbiotic approaches involving tailored diets, microbiota characteristics, and maybe drugs to treat obesity and metabolic disorders. We encourage Authors to search for specific phylogenetic associations beyond a too generally reported Firmicutes/Bacteroides ratio.

Keywords:

• Obesity
• diet
• fibers
• microbiota
• short chain fatty acids
• human

Acknowledgements

The Authors should thank Daniele Spadaccini, and Sabrina Tini for their technical assistance.

Disclosure statement

The Authors have no conflict of interests that could have influenced the objective reports of the results.

Additional information

Funding

This research was partially supported by: Ministry of Education, Universities, and Research: Grant PRIN (SIDERALE project; 2020NCKXBR_004); Ministry of Education, Universities, and Research, Department of Excellence grant (FOHN project, KETOMI project).