Human Gut Microbiota Changes Reveal the Progression of Glucose Intolerance

To explore the relationship of gut microbiota with the development of type 2 diabetes (T2DM), we analyzed 121 subjects who were divided into 3 groups based on their glucose intolerance status: normal glucose tolerance (NGT; n = 44), prediabetes (Pre-DM; n = 64), or newly diagnosed T2DM (n = 13). Gut microbiota characterizations were determined with 16S rDNA-based high-throughput sequencing. T2DM-related dysbiosis was observed, including the separation of microbial communities and a change of alpha diversity between the different glucose intolerance statuses. To assess the correlation between metabolic parameters and microbiota diversity, clinical characteristics were also measured and a significant association between metabolic parameters (FPG, CRP) and gut microbiota was found. In addition, a total of 28 operational taxonomic units (OTUs) were found to be related to T2DM status by the Kruskal-Wallis H test, most of which were enriched in the T2DM group. Butyrate-producing bacteria (e.g. Akkermansia muciniphila ATCCBAA-835, and Faecalibacterium prausnitzii L2-6) had a higher abundance in the NGT group than in the pre-DM group. At genus level, the abundance of Bacteroides in the T2DM group was only half that of the NGT and Pre-DM groups. Previously reported T2DM-related markers were also compared with the data in this study, and some inconsistencies were noted. We found that Verrucomicrobiae may be a potential marker of T2DM as it had a significantly lower abundance in both the pre-DM and T2DM groups. In conclusion, this research provides further evidence of the structural modulation of gut microbiota in the pathogenesis of diabetes.     

Gut immune maturation depends on colonization with a host-specific microbiota

Gut microbial induction of host immune maturation exemplifies host-microbe mutualism. We colonized germ-free (GF) mice with mouse microbiota (MMb) or human microbiota (HMb) to determine whether small intestinal immune maturation depends on a coevolved host-specific microbiota. Gut bacterial numbers and phylum abundance were similar in MMb and HMb mice, but bacterial species differed, especially the Firmicutes. HMb mouse intestines had low levels of CD4(+) and CD8(+) T cells, few proliferating T cells, few dendritic cells, and low antimicrobial peptide expression--all characteristics of GF mice. Rat microbiota also failed to fully expand intestinal T cell numbers in mice. Colonizing GF or HMb mice with mouse-segmented filamentous bacteria (SFB) partially restored T cell numbers, suggesting that SFB and other MMb organisms are required for full immune maturation in mice. Importantly, MMb conferred better protection against Salmonella infection than HMb. A host-specific microbiota appears to be critical for a healthy immune system.     

Deletion of the Toll-Like Receptor 5 Gene Per Se Does Not Determine the Gut Microbiome Profile That Induces Metabolic Syndrome: Environment Trumps Genotype

Over the past decade, emerging evidence has linked alterations in the gut microbial composition to a wide range of diseases including obesity, type 2 diabetes, and cardiovascular disease. Toll-like receptors (TLRs) are the major mediators for the interactions between gut microbiota and host innate immune system, which is involved in the localization and structuring of host gut microbiota. A previous study found that TLR5 deficient mice (TLR5KO1) had altered gut microbial composition which led to the development of metabolic syndrome including hyperlipidemia, hypertension, insulin resistance and increased adiposity. In the current study, a second TLR5-deficient mouse model was studied (TLR5KO2). TLR5 deficient mice did not manifest metabolic abnormalities related to the metabolic syndrome compared with littermate controls maintained on normal chow or after feeding a high fat diet. Analysis of the gut microbial composition of littermate TLR5KO2 and wild type mice revealed no significant difference in the overall microbiota structure between genotypes. However, the TLR5KO2 microbiota was distinctly different from that previously reported for TLR5KO1 mice with metabolic syndrome. We conclude that an altered composition of the microbiota in a given environment can result in metabolic syndrome, but it is not a consequence of TLR5 deficiency per se.     

Iron in infectious diseases friend or foe?: The role of gut microbiota

Iron is a trace element involved in metabolic functions for all organisms, from microorganisms to mammalians. Iron deficiency is a prevalent health problem that affects billions of people worldwide, and iron overload could have some hazardous effect. The complex microbial community in the human body, also called microbiota, influences the host immune defence against infections. An imbalance in gut microbiota, dysbiosis, changes the host's susceptibility to infections by regulating the immune system. In recent years, the number of studies on the relationship between infectious diseases and microbiota has increased. Gut microbiota is affected by different parameters, including mode of delivery, hygiene habits, diet, drugs, and plasma iron levels during the lifetime. Gut microbiota may influence iron levels in the body, and iron overload and deficiency can also affect gut microbiota composition. Novel researches on microbiota shed light on the fact that the bidirectional interactions between gut microbiota and iron play a role in the pathogenesis of many diseases, especially infections. A better understanding of these interactions may help us to comprehend the pathogenesis of many infectious and metabolic diseases affecting people worldwide and following the development of more effective preventive and/or therapeutic strategies. In this review, we aimed to present the iron-mediated host-gut microbiota interactions, susceptibility to bacterial infections, and iron-targeted therapy approaches for infections.     

The Effects and Mechanisms of Flavonoids on Cancer Prevention and Therapy: Focus on Gut Microbiota

Flavonoids are a group of polyphenolic compounds which are ubiquitously found in plants and are consumed as part of the human diet in substantial amounts. The verification of flavonoids'' cancer chemopreventive benefits has led to a significant interest in this field. Gut microbiota includes a diverse community of microorganisms and has a close relationship with cancer development. Increasing evidence has indicated that flavonoids exert anticarcinogenic effects by reshaping gut microbiota. Gut microbiota can convert flavonoids into bioactive metabolites that possess anticancer activity. Here, we present a brief introduction to gut microbiota and provide an overview of the interplay between gut microbiota and cancer pathogenesis. We also highlight the crucial roles of flavonoids in preventing cancer based on their regulation of gut microbiota. This review would encourage research on the flavonoid-intestinal microbiota interactions and clinical trials to validate the chemotherapeutic potentials of targeting gut microbiota by dietary bioactive compounds.     

Metabolic syndrome cannot mask the changes of faecal microbiota compositions caused by primary hepatocellular carcinoma

Both hepatocellular carcinoma (HCC) and metabolic syndrome are closely associated with the composition of the gut microbiota (GM). Although it has been proposed that elements of the GM can be used as biomarkers for the early diagnosis of HCC, whether metabolic syndrome results in a misrepresentation of the results of the early diagnosis of HCC using GM remains unclear. We compared the differences in the faecal microbiota of 10 patients with primary HCC, six patients with type 2 diabetes mellitus (T2DM), seven patients with arterial hypertension, six patients with both HCC and T2DM, and 10 patients with both HCC and arterial hypertension, as well as 10 healthy subjects, using high-throughput sequencing of 16S rRNA gene amplicons. Our results revealed a significant difference in the GM between subjects with and without HCC. The 49 bacterial genera out of the 494 detected genera were significantly different between the groups. These results show that changes in the GM can be used to distinguish between subjects with and without HCC, and can resist interference of T2DM and arterial hypertension with the GM. The results of the present study provide an important basis for the clinical auxiliary diagnosis of HCC by detecting the GM.     

Metabolic syndrome in type 1 diabetes mellitus. Does it have any impact on the course of pregnancy?

To determine whether the symptoms of metabolic syndrome (MS), if accompanied by oxidative stress (OS), in type 1 diabetes mellitus (DM) patients could affect the course of pregnancy and the perinatal outcome. Oxidized low density lipoproteins (ox-LDL) and total lipid peroxides (TLP) were studied in 98 pregnant women with type 1 DM in the I(st) and III(rd) trimesters. 24% of the participants met the criteria of MS. Vascular complications were significantly more frequent in the MS-group (41.9% vs. 17.4% in the non-MS group, p<0.05). No differences in the markers of OS between the MS and the non-MS groups were noted in either the I(st) or the III(rd) trimester. A significant gestational rise in Per-Ox was found in both groups. Chronic hypertension was associated with significant differences in ox-LDL levels in both the I(st) and III(rd) trimester. No differences in perinatal outcome, as measured by abnormal birth weight or poor neonatal status (Apgar score<6, umbilical venous and/or arterial pH<7.20), were found. Conclusions: 1) MS in type 1 DM is associated with some changes in markers of oxidative stress, but it poses no additional risk to the course of pregnancy and perinatal outcome in properly controlled and treated pregnant women with type 1 DM. 2) Maternal hypertension is the only component of MS in diabetic pregnancy that is associated with significant changes in markers of oxidative stress. 3) MS is significantly more frequent in diabetic pregnant women with co-existing vascular complications and obesity.     

Lactobacillus casei Shirota Supplementation Does Not Restore Gut Microbiota Composition and Gut Barrier in Metabolic Syndrome: A Randomized Pilot Study

Metabolic syndrome is associated with disturbances in gut microbiota composition. We aimed to investigate the effect of Lactobacillus casei Shirota (LcS) on gut microbiota composition, gut barrier integrity, intestinal inflammation and serum bile acid profile in metabolic syndrome. In a single-centre, prospective, randomised controlled pilot study, 28 subjects with metabolic syndrome received either LcS for 12 weeks (n = 13) or no LcS (n = 15). Data were compared to healthy controls (n = 16). Gut microbiota composition was characterised from stool using 454 pyrosequencing of 16S rRNA genes. Serum bile acids were quantified by tandem mass spectrometry. Zonulin and calprotectin were measured in serum and stool by ELISA. Bacteroidetes/Firmicutes ratio was significantly higher in healthy controls compared to metabolic syndrome but was not influenced by LcS. LcS supplementation led to enrichment of Parabacteroides. Zonulin and calprotectin were increased in metabolic syndrome stool samples but not influenced by LcS supplementation. Serum bile acids were similar to controls and not influenced by LcS supplementation. Metabolic syndrome is associated with a higher Bacteroidetes/Firmicutes ratio and gut barrier dysfunction but LcS was not able to change this. LcS administration was associated with subtle microbiota changes at genus level.

Trial Registration

ClinicalTrials.gov NCT01182844     

Yeast culture dietary supplementation modulates gut microbiota,growth and biochemical parameters of grass carp

Gut microbiota contributes positively to the physiology of their host. Some feed additives have been suggested to improve livestock health and stimulate growth performance by modulating gut bacteria species. Here, we fed grass carp with 0 (control), 8% (Treat1), 10% (Treat2), 12% (Treat3) and 16% (Treat4) of yeast culture (YC) for 10 weeks. The gut microbiota was analysed by 16S rRNA gene V3‐4 region via an Illumina MiSeq platform. PCoA test showed that gut bacterial communities in the control and Treat3 formed distinctly separate clusters. Although all the groups shared a large size of OTUs as a core microbiota community, a strong distinction existed at genus level. Treat3 contained the highest proportion of the beneficial bacteria and obviously enhanced the capacity of amino acid, lipid metabolism and digestive system. In addition, Treat3 significantly improved the fish growth and increased the liver and serum T‐SOD activities while dramatically decreased the liver GPT and GOT. Collectively, these findings demonstrate the beneficial effects of YC feeding on gut microbiota, growth and biochemical parameters and Treat3 might be the optimal supplementation amount for grass carp, which opens up the possibility that a new feed additive can be developed for healthy aquaculture.     

胃肠道菌群与肿瘤发生的关系

人体的胃肠道菌群构成一个庞大、复杂的微生态系统,并且随着年龄的增长而发生动态变化,成年后菌群的结构达到动态平衡。胃肠道菌群具有参与物质代谢、促进机体免疫系统的发育和抑制病原菌定植等生理作用。菌群失调会导致各种疾病的发生,如肠易激综合征、炎症性肠病、肥胖症、1型糖尿病、肠道恶性肿瘤等。本文就胃肠道菌群与肿瘤发生发展关系的最新研究作一综述,并根据最新提出的Alpha-Bug学说和driver-passenger学说,论述了肠道菌群促进大肠癌发生的机制。为阐明胃肠道肿瘤的发生机制提供新的思路。     

Women with and without metabolic disorder differ in their gut microbiota composition

The aim of this study was to investigate whether overweight/obese women in metabolic disorder group (MDG, n = 27) differ in their gut microbiota composition from overweight/obese women in non-metabolic disorder group (NMDG, n = 47) and normal weight women group (NWG, n = 11). Gut microbiota was profiled from fecal samples by 16S rRNA fluorescence in situ hybridization and flow cytometry in 85 premenopausal women. Body composition was measured by bioimpedance, and dietary intakes were collected via food diaries. Standard procedures were used to assess plasma glucose, serum insulin, lipids, and inflammatory status. We found that the proportion of bacteria belonging to Eubacterium rectale-Clostridium coccoides group, indicating efficient energy harvest from nutrients in gut, was higher in MDG compared to NMDG and NWG, while no difference was found between NMDG and NWG. The proportion of Eubacterium rectale-Clostridium coccoides group correlated positively with weight, BMI, total fat, fat mass percentage (FM%), visceral fat area, and serum triglycerides, and negatively with high-density lipoprotein (HDL). Our results indicate that certain members of Eubacterium rectale-Clostridium coccoides group are associated with obesity-related MDs not obesity per se.     

Exploring the gut microbiota composition of Indian major carp,rohu (Labeo rohita), under diverse culture conditions

Gut microbiota of freshwater carps are often investigated for their roles in nutrient absorption, enzyme activities and probiotic properties. However, little is known about core microbiota, assembly pattern and the environmental influence on the gut microbiota of the Indian major carp, rohu. The gut microbial composition of rohu reared in different culture conditions was analysed by 16S rRNA amplicon sequencing. There was variation on gut microbial diversity and composition. A significant negative correlation between dissolved oxygen content (DO) and alpha diversity was observed, thus signifying DO content as one of the key environmental factors that regulated the diversity of rohu gut microbial community. A significant positive correlation was observed between phosphate concentration and abundance of Actinobacteria in different culture conditions. Two phyla, Proteobacteria and Actinobacteria along with OTU750868 (Streptomyces) showed significant (p < 0.05) differences in their abundance among all culture conditions. The Non-metric multidimensional scaling ordination (NMDS) analysis using Bray-Curtis distances, showed the presence of unique gut microbiota in rohu compared to other herbivorous fish. Based on niche breadth, 3 OTUs were identified as core generalists, persistent across all the culture conditions whereas the specialists dominated in the rohu gut microbiota assembly. Co-occurrence network analysis revealed positive interaction within core members while mutual exclusion between core and non-core members. Predicted microbiota function revealed that different culture conditions affected the metabolic capacity of gut microbiota of rohu. The results overall indicated the significant effect of different rearing environments on gut microbiota structure, assembly and inferred community function of rohu which might be useful for effective manipulation of gut microbial communities of rohu to promote better health and growth under different husbandry settings.     

Systemic multicompartmental effects of the gut microbiome on mouse metabolic phenotypes

To characterize the impact of gut microbiota on host metabolism, we investigated the multicompartmental metabolic profiles of a conventional mouse strain (C3H/HeJ) (n=5) and its germ‐free (GF) equivalent (n=5). We confirm that the microbiome strongly impacts on the metabolism of bile acids through the enterohepatic cycle and gut metabolism (higher levels of phosphocholine and glycine in GF liver and marked higher levels of bile acids in three gut compartments). Furthermore we demonstrate that (1) well‐defined metabolic differences exist in all examined compartments between the metabotypes of GF and conventional mice: bacterial co‐metabolic products such as hippurate (urine) and 5‐aminovalerate (colon epithelium) were found at reduced concentrations, whereas raffinose was only detected in GF colonic profiles. (2) The microbiome also influences kidney homeostasis with elevated levels of key cell volume regulators (betaine, choline, myo‐inositol and so on) observed in GF kidneys. (3) Gut microbiota modulate metabotype expression at both local (gut) and global (biofluids, kidney, liver) system levels and hence influence the responses to a variety of dietary modulation and drug exposures relevant to personalized health‐care investigations.     

25(OH)D levels in diabetic pregnancies relation with neonatal hypocalcemia

The levels of 25(OH)D have been quantified in 42 insulin diabetic pregnancies (DP) through the three trimesters of pregnancy with a total of 177 determinations. In parallel we quantified this metabolite in 114 normal pregnant women (NP) and also in 116 normal controls (NC). In addition 25(OH)D was quantified in 18 (DP) and 19 (NP) at delivery in the 35-37th week of pregnancy, and ionic calcium was measured in their newborns at 24 h of life. Grouping by trimesters of gestation, the (NP) group had 25(OH)D levels similar to those of (NC) and none showed significant differences between trimesters of pregnancy. (DP) showed in all seasons lower (25(OH)D levels than (NC) but did not have differences in these levels between trimesters of pregnancy. The newborns of (DP) had lower ionic calcium levels than newborns of (NP). Eight newborns of (DP) had hypocalcemia and seven of their mothers showed 25(OH)D levels lower than 10 ng/ml. These findings suggest that lower 25(OH)D levels in (DP) can influence the neonatal hypocalcemia in their newborns.     

Commensal microbial regulation of natural killer T cells at the frontiers of the mucosal immune system

The commensal microbiota co-exists in a mutualistic relationship with its human host. Commensal microbes play critical roles in the regulation of host metabolism and immunity, while microbial colonization, conversely, is under control of host immunity and metabolic pathways. These interactions are of central importance to the maintenance of homeostasis at mucosal surfaces and their perturbation can provide the basis for atopic and chronic inflammatory diseases such as asthma and inflammatory bowel disease (IBD). Recent evidence has revealed that natural killer T (NKT) cells, a subgroup of T cells which recognizes self and microbial lipid antigens presented by CD1d, are key mediators of host-microbial interactions. Mucosal and systemic NKT cell development is under control of the commensal microbiota, while CD1d regulates microbial colonization and influences the composition of the intestinal microbiota. Here, we outline the mechanisms of bidirectional cross-talk between the microbiota and CD1d-restricted NKT cells and discuss how a perturbation of these processes can contribute to the pathogenesis of immune-mediated disorders at mucosal surfaces.     

Alzheimer’s disease and gut microbiota

Alzheimer’s disease (AD) is a most common neurodegenerative disorder, which associates with impaired cognition. Gut microbiota can modulate host brain function and behavior via microbiota-gut-brain axis, including cognitive behavior. Germ-free animals, antibiotics, probiotics intervention and diet can induce alterations of gut microbiota and gut physiology and also host cognitive behavior, increasing or decreasing risks of AD. The increased permeability of intestine and blood-brain barrier induced by gut microbiota disturbance will increase the incidence of neurodegeneration disorders. Gut microbial metabolites and their effects on host neurochemical changes may increase or decrease the risk of AD. Pathogenic microbes infection will also increase the risk of AD, and meanwhile, the onset of AD support the “hygiene hypothesis”. All the results suggest that AD may begin in the gut, and is closely related to the imbalance of gut microbiota. Modulation of gut microbiota through personalized diet or beneficial microbiota intervention will probably become a new treatment for AD.     

粪菌移植在临床治疗中的研究进展

粪菌移植的历史可以追溯到中国东晋时期。大量研究证实粪菌移植有可能成为许多疾病的有效治疗方法,现已逐渐应用于临床上并取得较好的疗效。粪菌移植可以通过增加短链脂肪酸,特别是丁酸盐的产量来减少肠道通透性,从而降低疾病的严重程度,这有助于维持上皮屏障的完整性。粪菌移植还可以通过抑制Th1分化、T细胞活性、白细胞粘附和炎症因子的产生来恢复免疫生态失调。目前对粪菌移植的研究主要集中在治疗艰难梭菌感染,但其他领域对粪菌移植研究的热情也日益高涨,如用于治疗炎症性肠病、代谢综合征和肠易激综合征等。本文对最新的粪菌移植在临床治疗中的研究进展作一综述。     

How informative is the mouse for human gut microbiota research?

The microbiota of the human gut is gaining broad attention owing to its association with a wide range of diseases, ranging from metabolic disorders (e.g. obesity and type 2 diabetes) to autoimmune diseases (such as inflammatory bowel disease and type 1 diabetes), cancer and even neurodevelopmental disorders (e.g. autism). Having been increasingly used in biomedical research, mice have become the model of choice for most studies in this emerging field. Mouse models allow perturbations in gut microbiota to be studied in a controlled experimental setup, and thus help in assessing causality of the complex host-microbiota interactions and in developing mechanistic hypotheses. However, pitfalls should be considered when translating gut microbiome research results from mouse models to humans. In this Special Article, we discuss the intrinsic similarities and differences that exist between the two systems, and compare the human and murine core gut microbiota based on a meta-analysis of currently available datasets. Finally, we discuss the external factors that influence the capability of mouse models to recapitulate the gut microbiota shifts associated with human diseases, and investigate which alternative model systems exist for gut microbiota research.KEY WORDS: Gut microbiota, Humanized mouse models, Mouse core gut microbiota, Mouse models, Mouse pan-gut microbiota     

Machine learning-based investigation of the relationship between gut microbiome and obesity status

Gut microbiota is believed to play a crucial role in obesity. However, the consistent findings among published studies regarding microbiome–obesity interaction are relatively rare, and one of the underlying causes could be the limited sample size of cohort studies. In order to identify gut microbiota changes between normal-weight individuals and obese individuals, fecal samples along with phenotype information from 2262 Chinese individuals were collected and analyzed. Compared with normal-weight individuals, the obese individuals exhibit lower diversity of species and higher diversity of metabolic pathways. In addition, various machine learning models were employed to quantify the relationship between obesity status and Body mass index (BMI) values, of which support vector machine model achieves best performance with 0.716 classification accuracy and 0.485 R² score. In addition to two well-established obesity-associated species, three species that have potential to be obesity-related biomarkers, including Bacteroides caccae, Odoribacter splanchnicus and Roseburia hominis were identified. Further analyses of functional pathways also reveal some enriched pathways in obese individuals. Collectively, our data demonstrates tight relationship between obesity and gut microbiota in a large-scale Chinese population. These findings may provide potential targets for the prevention and treatment of obesity.     

具减肥功效的益生菌研究进展

摘要：肥胖症患病率在全球范围内持续增长,其中导致肥胖的最主要因素是能量摄入和消耗失衡。肠道菌群是涉及肥胖和代谢紊乱的环境因素,肥胖动物和人类患者表现出了肠道菌群组成和结构的改变。这种菌群失衡能影响机体能量平衡、炎症和肠道屏障功能等,进而影响代谢。研究显示益生菌可有效改善高脂饮食造成的肥胖。改变肠道菌群可能会成为预防或控制肥胖的有效疗法,该领域尚处于早期阶段,相关数据仍有限。本综述旨在总结最新的具有减肥功效益生菌的实验研究,帮助了解减肥益生菌的最新进展,为该领域后续研究提供帮助。