Interactions Between Gut Microbiota and Host Metabolism Predisposing to Obesity and Diabetes

2011 ◽  
Vol 62 (1) ◽  
pp. 361-380 ◽  
Author(s):  
Giovanni Musso ◽  
Roberto Gambino ◽  
Maurizio Cassader
Author(s):  
Rong Li ◽  
Xue Huang ◽  
Xiao Liang ◽  
Min Su ◽  
Keng Po Lai ◽  
...  

Abstract Obesity, a risk to health, is a global problem in modern society. The prevalence of obesity was approximately 13% among world’s adult population. Recently, several reports suggested that the interference of gut microbiota composition and function is associated with metabolic disorders, including obesity. Gut microbiota produce a board range of metabolites involved in energy and glucose homeostasis, leading to the alteration in host metabolism. However, systematic evaluation of the relationship between gut microbiota, gut metabolite and host metabolite profiles in obese adults is still lacking. In this study, we used comparative metagenomics and metabolomics analysis to determine the gut microbiota and gut–host metabolite profiles in six normal and obese adults of Chinese origin, respectively. Following the functional and pathway analysis, we aimed to understand the possible impact of gut microbiota on the host metabolites via the change in gut metabolites. The result showed that the change in gut microbiota may result in the modulation of gut metabolites contributing to glycolysis, tricarboxylic acid cycle and homolactic fermentation. Furthermore, integrated metabolomic analysis demonstrated a possible positive correlation of dysregulated metabolites in the gut and host, including l-phenylalanine, l-tyrosine, uric acid, kynurenic acid, cholesterol sulfate and glucosamine, which were reported to contribute to metabolic disorders such as obesity and diabetes. The findings of this study provide the possible association between gut microbiota–metabolites and host metabolism in obese adults. The identified metabolite changes could serve as biomarkers for the evaluation of obesity and metabolic disorders.


2021 ◽  
Vol 9 (6) ◽  
pp. 1302
Author(s):  
Patrice D. Cani ◽  
Emilie Moens de Hase ◽  
Matthias Van Hul

The field of the gut microbiota is still a relatively young science area, yet many studies have already highlighted the translational potential of microbiome research in the context of human health and disease. However, like in many new fields, discoveries are occurring at a fast pace and have provided new hope for the development of novel clinical applications in many different medical conditions, not in the least in metabolic disorders. This rapid progress has left the field vulnerable to premature claims, misconceptions and criticism, both from within and outside the sector. Tackling these issues requires a broad collaborative effort within the research field and is only possible by acknowledging the difficulties and challenges that are faced and that are currently hindering clinical implementation. These issues include: the primarily descriptive nature of evidence, methodological concerns, disagreements in analysis techniques, lack of causality, and a rather limited molecular-based understanding of underlying mechanisms. In this review, we discuss various studies and models that helped identifying the microbiota as an attractive tool or target for developing various translational applications. We also discuss some of the limitations and try to clarify some common misconceptions that are still prevalent in the field.


Physiology ◽  
2012 ◽  
Vol 27 (5) ◽  
pp. 300-307 ◽  
Author(s):  
Rémy Burcelin

The recent epidemic of obesity and diabetes and the diversity at the individual level could be explained by the intestinal microbiota-to-host relationship. More than four million gene products from the microbiome could interact with the immune system to induce a tissue metabolic infection, which is the molecular origin of the low-grade inflammation that characterizes the onset of obesity and diabetes.


2020 ◽  
Vol 6 (12) ◽  
pp. 124-154
Author(s):  
S. Bulgakova ◽  
N. Romanchuk ◽  
O. Pomazanova

The new competencies of psychoneuroimmunoendocrinology and psychoneuroimmunology play a strategic role in interdisciplinary science and interdisciplinary planning and decision-making. The introduction of multi-vector neurotechnologies of artificial intelligence and the principles of digital health care will contribute to the development of modern neuroscience and neuromarketing. The availability of innovative technologies, such as next-generation sequencing and correlated bioinformatics tools, allows deeper investigation of the cross-network relationships between the microbiota and human immune responses. Immune homeostasis is the balance between immunological tolerance and inflammatory immune responses — a key feature in the outcome of health or disease. A healthy microbiota is the qualitative and quantitative ratio of diverse microbes of individual organs and systems, maintaining the biochemical, metabolic and immune equilibrium of the macroorganism necessary to preserve human health. Functional foods, healthy biomicrobiota, healthy lifestyle and controlled protective environmental effects, artificial intelligence and electromagnetic information load/overload are responsible for the work of the human immune system and its ability to respond to pandemic attacks in a timely manner. Obesity continues to be one of the main problems of modern health care due to its high prevalence and polymorbidity. In addition to cardiometabolic diseases, lesions of the musculoskeletal system, obese individuals show impaired cognitive functions, have a high risk of developing depression and anxiety. The gut microbiota mediates between environmental influences (food, lifestyle) and the physiology of the host, and its change may partially explain the cross-link between the above pathologies. It is known that Western eating patterns are the main cause of the obesity epidemic, which also contributes to dysbiotic drift of the gut microbiota, which in turn contributes to the development of complications associated with obesity. Experimental studies in animal models and, to a lesser extent in humans, show that microbiota is associated with obesity and may contribute to the endocrine, neurochemical and development of systemic inflammation underlying obesity itself and related diseases. Nevertheless, a number of questions remain at present. Modeling the microbiota-gut-brain axis, provides the brain with information from the gut not only through the nervous system but also through a continuous stream of microbial, endocrine, metabolic and immune messages. The communication network provides important keys to understanding how obesity and diabetes can affect the brain by provoking neuropsychiatric diseases. The literature review is devoted to the analysis of data on the relationship of the gut-brain axis, obesity and cognitive functions, immune homeostasis and new competencies: psychoneuroimmunology and psychoneuroimmunoendocrinology.


2022 ◽  
Vol 22 (1) ◽  
Author(s):  
Yuqing He ◽  
Francesco Tiezzi ◽  
Jeremy Howard ◽  
Yijian Huang ◽  
Kent Gray ◽  
...  

Abstract Background The interplay between the gut microbiota and feeding behavior has consequences for host metabolism and health. The present study aimed to explore gut microbiota overall influence on feeding behavior traits and to identify specific microbes associated with the traits in three commercial swine breeds at three growth stages. Feeding behavior measures were obtained from 651 pigs of three breeds (Duroc, Landrace, and Large White) from an average 73 to 163 days of age. Seven feeding behavior traits covered the information of feed intake, feeder occupation time, feeding rate, and the number of visits to the feeder. Rectal swabs were collected from each pig at 73 ± 3, 123 ± 4, and 158 ± 4 days of age. DNA was extracted and subjected to 16 S rRNA gene sequencing. Results Differences in feeding behavior traits among breeds during each period were found. The proportion of phenotypic variances of feeding behavior explained by the gut microbial composition was small to moderate (ranged from 0.09 to 0.31). A total of 21, 10, and 35 amplicon sequence variants were found to be significantly (q-value < 0.05) associated with feeding behavior traits for Duroc, Landrace, and Large White across the three sampling time points. The identified amplicon sequence variants were annotated to five phyla, with Firmicutes being the most abundant. Those amplicon sequence variants were assigned to 28 genera, mainly including Christensenellaceae_R-7_group, Ruminococcaceae_UCG-004, Dorea, Ruminococcaceae_UCG-014, and Marvinbryantia. Conclusions This study demonstrated the importance of the gut microbial composition in interacting with the host feeding behavior and identified multiple archaea and bacteria associated with feeding behavior measures in pigs from either Duroc, Landrace, or Large White breeds at three growth stages. Our study provides insight into the interaction between gut microbiota and feeding behavior and highlights the genetic background and age effects in swine microbial studies.


2015 ◽  
Vol 12 (3) ◽  
pp. 133-143 ◽  
Author(s):  
Patrice D. Cani ◽  
Hubert Plovier ◽  
Matthias Van Hul ◽  
Lucie Geurts ◽  
Nathalie M. Delzenne ◽  
...  

2020 ◽  
Vol 8 (1) ◽  
pp. 111 ◽  
Author(s):  
Weida Wu ◽  
Li Zhang ◽  
Bing Xia ◽  
Shanlong Tang ◽  
Lei Liu ◽  
...  

Inulin (INU) is a non-digestible carbohydrate, known for its beneficial properties in metabolic disorders. However, whether and how gut microbiota in its regulation contributes to host metabolism has yet to be investigated. We conduct this study to examine the possible associations between the gut microbiota and circulating gut microbiota–host co-metabolites induced by inulin interventions. Plasma and intestinal site samples were collected from the pigs that have consumed inulin diet for 60 days. High-throughput sequencing was adopted for microbial composition, and the GC-TOF-MS-based metabolomics were used to characterize featured plasma metabolites upon inulin intervention. Integrated multi-omics analyses were carried out to establish microbiota–host interaction. Inulin consumption decreased the total cholesterol (p = 0.04) and glucose (p = 0.03) level in serum. Greater β-diversity was observed in the cecum and colon of inulin-fed versus that of control-fed pigs (p < 0.05). No differences were observed in the ileum. In the cecum, 18 genera were altered by inulin, followed by 17 in the colon and 6 in the ileum. Inulin increased propionate, and isobutyrate concentrations but decreased the ratio of acetate to propionate in the cecum, and increased total short fatty acids, valerate, and isobutyrate concentrations in the colon. Metabolomic analysis reveals that indole-3-propionic acid (IPA) was significantly higher, and the branched-chain amino acids (BCAA), L-valine, L-isoleucine, and L-leucine are significantly lower in the inulin groups. Mantel test and integrative analysis revealed associations between plasma metabolites (e.g., IPA, BCAA, L-tryptophan) and inulin-responsive cecal microbial genera. These results indicate that the inulin has regional effects on the intestine microbiome in pigs, with the most pronounced effects occurring in the cecum. Moreover, cecum microbiota plays a pivotal role in the modulation of circulating host metabolites upon inulin intervention


Author(s):  
Sidharth P Mishra ◽  
Shalini Jain ◽  
Subhash Taraphder ◽  
Hariom Yadav

Abstract Decade-old studies have demonstrated that microbes living in our gut (microbiota) contribute to both maintaining normal metabolic function and to the pathology of metabolic diseases, such as obesity and diabetes. Emerging evidence suggests that gut microbiota influences the personalized effects of diets and drugs and impact the gut–brain axis and leaky gut inflammation to control metabolic function/diseases. Gut microbiota can be an ideal source of prognostic markers and therapies for metabolic diseases. Here we discuss the emerging concepts in the area of microbiota and metabolic interactions in personalized nutrition, drug response, and disease prognosis.


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