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Friday, 4 December 2015

Probiotics and immunity: provisional role for personalized diets and disease prevention

EPMA J. 2015; 6(1): 14.
Published online 2015 Jul 14. doi:  10.1186/s13167-015-0036-0
PMCID: PMC4517425


Zabolotny Institute of Microbiology and Virology, National Academy of Sciences of Ukraine, 154, Zabolotny St., Kyiv, 03680 Ukraine
Clinical Hospital “Pheophania” of State Affairs Department, Zabolotny Str., 21, Kyiv, 03680 Ukraine
LCL “Diaprof”, Svitlycky Str., 35, Kyiv, 04123 Ukraine
Cassovia Life Sciences, Palárikova 4, 04011 Košice, Slovak Republiс
Institute of Experimental Medicine, Faculty of Medicine, Pavol Jozef Šafárik University in Košice, Trieda SNP 1, 04011 Košice, Slovak Republiс
Rostyslav V. Bubnov, moc.liamg@vonbubtsor.
corresponding authorCorresponding author.

Abstract

There is great interest in the interaction between diet and immune system and concomitantly in the potential of probiotic bacteria, especially given recent advances in understanding of gut microbiota effects on health in the context of microbiome research. Following our recent study on bacterial wall elasticity as a predictive measure of phagocytic cellular reactions and related outcomes, a question was raised regarding the scope of the application of these findings in various medical conditions in the context of predictive, preventive, and personalized medicine (PPPM). This summarizing review of the data describes the contributions, both observed and potential, of probiotics to the gut-brain axis and various medical conditions, including immune and atopic states, metabolic and inflammatory diseases—including liver disease and diabetes mellitus—cancer, and more. It also suggests novel insights for a number of beneficial applications of probiotics and advances in development of novel probiotic-based treatments and personalized diets, as well as application of sophisticated imaging techniques and nanobiotechnologies that can be adopted in the near future by innovative medical experts, warranting further research and practical translation.
Keywords: Predictive, Preventive, and personalized medicine, Gut microbiota, Lactobacillus, Bifidobacterium, Gut-brain axis, Microbiome, Cancer, Immune disorders, Dietary biomarkers, Healthy diet, Nutrition, Fecal microbiota transplantation, Pattern recognition receptors

Review

Introduction

Healthy diet and nutrition are the very focus of the European Association for Predictive, Preventive and Personalised Medicine (EPMA), the main promoter of predictive, preventive, and personalized medicine (PPPM), and belong to the prioritized medical fields for long-term strategy of created multidisciplinary platform for progressing from “disease care” to “health care”: “advancing participatory medicine”, “well-being” concepts, and integrated approach. A major target of this approach is the effective management of immunity-related disorders, such as inflammation, atopy, asthma, musculoskeletal disorders, liver fibrosis, diabetes mellitus type 2 (T2D), metabolic syndrome, cardiovascular diseases (CVD), neurodegenerative diseases (NDD), atherosclerosis, and cancer [14].
The gut microbiota is increasingly considered to be one of the main mechanisms accounting for the increasing prevalence of these disorders over the past few decades. Being a food-grade ingredient, probiotic bacteria show great potential for medical application in general and particularly for personalized, preventive medicine. Lactic acid bacteria (LAB) belong to the group of microorganisms most frequently used as probiotics, due to their competitive inhibition of the colonization of pathogenic bacteria in the intestinal tract and their beneficial effects on the gut immune system and gut-brain axis.
Our recent research employing a non-clinical model investigated the role of cell wall elasticity as a predictive measure of the phagocytic system cells reaction and related outcomes [4]. This review discusses the immediate and far-reaching implications of the findings in the context of the increasing understanding of microbiome’s impact on health.