Editorial: Diets, Gut Microbiota, and Host Metabolism
- 1College of Animal Science and Technology, Hunan Agriculture University, Changsha, China
- 2State Key Laboratory of Applied Microbiology Southern China, Guangdong Provincial Key Laboratory of Microbial Culture Collection and Application, Guangdong Open Laboratory of Applied Microbiology, Guangdong Institute of Microbiology, Guangdong Academy of Sciences, Guangdong, China
- 3Institute of Animal Nutrition, Sichuan Agricultural University, Chengdu, China
- 4Department of Medicine, University of Kentucky Medical Center, Lexington, KY, United States
Editorial on the Research Topic
Interactions Between Diets, Gut Microbiota and Host Metabolism
Human gut hosts ~100 trillion bacteria, which eventually fall into about 500–1,000 bacterial species. Microbial density and diversity are established very rapidly in the gut of the newborn and drive stabilization of the normal commensal microbiota. However, the gut microbiota diversity and compositions are affected by genetic background, but most importantly by diets and environment (1–3). Wang et al. explored the relationships among diet supplements, gut microbiota, host genetics and metabolic status, leading to the conclusion that diets more intensively disturbed the structure of gut microbiota in excess of genetic change, particularly under leptin deficient conditions. Protein is a major dietary nutrient and Li et al. systemically analyzed the colonic microbiota and metabolic responses to different dietary protein sources in a piglet model. Hu et al. further indicated a role of amino acids in gut microbiota compositions. Starch acts as a major energy source of the daily diet and is the largest fraction among human and monogastric animal diets. Yu et al. demonstrated that the different dietary starch types treatment altered the intestinal microbiota and metabolite profiles of the pigs, and dietary with higher amylose may offer potential benefits for gut health. In an amazonian catfish Panaque nigrolineatus model, McDonald et al. discussed the microbiome and predictive metagenomic profiles in response to dietary a wood alone or a less refractory mixed diet containing wood and plant nutrition and a marked change was noticed in the enteric bacterial community composition. Besides, rutin, polysaccharide, matrine, fiber, quercetin, ahlorogenic acid, aloin, pinocembrin, xylooligosaccharide, and other active components have been reported to shape gut microbiota compositions in this Research Topic.
Gut microbiota is also changed in various pathologic conditions and has been considered as an objective measurement for some diseases (4–6). For example, Liu et al. provided a comprehensive understanding of the link between the gut microbiota and insomnia disorder and constructed a prediction model utilizing artificial neural network, which might be used for auxiliary diagnosis of insomnia disorder. Meanwhile, the potential relationships between gut microbiota and childhood leukemia also have been discussed by Wen et al., which may help build a healthy gut microbiota by adjusting the diet construction to deal with childhood leukemia. Thus, manipulation of gut microbiota has been considered a potential target for treating diseases.
Probiotics are live microorganisms that confer health benefits on the host via an improvement of gut microbiota compositions, and metabolism, or directly interacting with host (7, 8). In this Research Topic, several studies focused on the dietary benefits of probiotics. A clinic study showed that co-administration of probiotics with azithromycin is a promising therapy for Mycoplasma pneumoniae pneumonia treatment which could prevent and treat antibiotic-associated diarrhea effectively (Liang et al.). In the dextran sulfate sodium-induced colitis model, Lactobacillus brevis and Bacillus amyloliquefaciens are reported to alleviate colonic damage by reprograming gut microbiota ()Diang et al.; Cao et al.. Constipation is a common gastrointestinal disease, which is characterized by gut dysbiosis. However, Bifidobacterium colonization can alleviate constipation more efficiently by improving the water, propionate and butyrate content in feces, and overall gastrointestinal transit time (Wang et al.). In animal industry, probiotics are widely introduced to improve health and growth. Xu et al. reported that Lactobacillus paracasei subsp. paracasei L1 possesses probiotic properties (i.e., adhesion, aggregation, hydrophobicity, as well as survival upon exposure to various gastrointestinal conditions, and lack hemolytic and decarboxylation activities) and improves the growth performance in chickens. In weaning piglets, dietary Lactobacillus plantarum PFM 105 promotes intestinal development (intestinal villi) through modulation of gut microbiota and metabolism (Wang et al.). Similarly, Hu et al. probiotic Bacillus amyloliquefaciens has been indicated as an alternative of antibiotics on digestive enzymes activity and intestinal integrity of piglets.
We also received several articles about probiotic isolation. Somashekaraiah et al. isolated seven potential of lactic acid bacteria with the best probiotic attributes from the sap extract of the coconut palm inflorescence-Neera. Gong et al. also isolated a new Pediococcus pentosaceus strain (SL001) from soil samples and found it can be used as a dietary probiotic in freshwater fish aquaculture by enhancing immunity and promoter growth rate of grass carps.
It is clear from these papers in this Research Topic that the field of diet-gut microbiota-host metabolism interplay has many avenues to explore. The impact of dietary nutrients (i.e., protein, starch, fiber, amino acids, probiotics, and other active substances) on the gut microbiome is currently an area of intense investigation and hopefully will lead a detailed understanding of how specific nutrient can influence the ecology of the gut microenvironment to produce metabolic benefits. Meanwhile, gut microbiota dysbiosis is associated with various kinds of diseases, thus manipulation of gut ecology has been widely incorporated into clinical methods. Bacterial metabolites, microRNA, bacteriocin, and microbiota sensing pathways are increasingly recognized to be involved in the diet-gut microbiota-host metabolism interplay, while the detailed mechanisms in different models are far from clear.
All authors listed have made a substantial, direct and intellectual contribution to the work, and approved it for publication.
This study was supported by the Young Elite Scientists Sponsorship Program by CAST (2019-2021QNRC001) and Guangdong Basic and Applied Basic Research Foundation (2020B1515020046).
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
1. Yin J, Li Y, Han H, Ma J, Liu G, Wu X, et al. Administration of exogenous melatonin improves the diurnal rhythms of the gut microbiota in mice fed a high-fat diet. mSystems. (2020) 5:e00219–19. doi: 10.1128/mSystems.00002-20
3. Yin J, Li Y, Han H, Chen S, Gao J, Liu G, et al. Melatonin reprogramming of gut microbiota improves lipid dysmetabolism in high-fat diet-fed mice. J Pineal Res. (2018) 65:e12524. doi: 10.1111/jpi.12524
8. Hill C, Guarner F, Reid G, Gibson GR, Merenstein DJ, Pot B, et al. The International Scientific Association for Probiotics and Prebiotics consensus statement on the scope and appropriate use of the term probiotic. Nat Rev Gastroent Hepatol. (2014) 11:506–14. doi: 10.1038/nrgastro.2014.66
Keywords: diets, gut microbiota, host metabolism, dysbiosis, metagenomics, metabolomics
Citation: Yin J, Xie L, Luo Y and Oz HS (2020) Editorial: Diets, Gut Microbiota, and Host Metabolism. Front. Nutr. 7:108. doi: 10.3389/fnut.2020.00108
Received: 29 May 2020; Accepted: 12 June 2020;
Published: 22 July 2020.
Edited by:Giovanna Suzzi, University of Teramo, Italy
Reviewed by:Simone Guglielmetti, University of Milan, Italy
Copyright © 2020 Yin, Xie, Luo and Oz. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Jie Yin, firstname.lastname@example.org