Behavioural types correlate with the gut microbiome in juvenile wild and reared gilthead seabream

Alcohol use disorder (AUD) is commonly associated with distressing psychological symptoms. Pathologic changes associated with AUD have been described in both the gut microbiome and brain, but the mechanisms underlying gut-brain signaling in individuals with AUD are unknown. This study examined associations among the gut microbiome, brain morphometry, and clinical symptoms in treatment-seeking individuals with AUD. We performed a secondary analysis of data collected during inpatient treatment for AUD in subjects who provided gut microbiome samples and had structural brain magnetic resonance imaging (MRI; n = 16). Shotgun metagenomics sequencing was performed, and the morphometry of brain regions of interest was calculated. Clinical symptom severity was quantified using validated instruments. Gut-brain modules (GBMs) used to infer neuroactive signaling potential from the gut microbiome were generated in addition to microbiome features (e.g., alpha diversity and bacterial taxa abundance). Bivariate correlations were performed between MRI and clinical features, microbiome and clinical features, and MRI and microbiome features. Amygdala volume was significantly associated with alpha diversity and the abundance of several bacteria including taxa classified to Blautia, Ruminococcus, Bacteroides, and Phocaeicola. There were moderate associations between amygdala volume and GBMs, including butyrate synthesis I, glutamate synthesis I, and GABA synthesis I & II, but these relationships were not significant after false discovery rate (FDR) correction. Other bacterial taxa with shared associations to MRI features and clinical symptoms included Escherichia coli and Prevotella copri. We identified gut microbiome features associated with MRI morphometry and AUD-associated symptom severity. Given the small sample size and bivariate associations performed, these results require confirmation in larger samples and controls to provide meaningful clinical inferences. Nevertheless, these results will inform targeted future research on the role of the gut microbiome in gut-brain communication and how signaling may be altered in patients with AUD.

BackgroundThe human microbiome plays a vital role in human health, mediated by the gut–brain axis, with a large diversity of functions and physiological benefits. The dynamics and mechanisms of meditations on oral and gut microbiome modulations are not well understood. This study investigates the short-term modulations of the gut and oral microbiome during an Arhatic Yoga meditation retreat as well as on the role of microbiome in improving well-being through a possible gut-brain axis.MethodsA single-arm pilot clinical trial was conducted in a controlled environment during a 9-day intensive retreat of Arhatic Yoga meditation practices with vegetarian diet. Oral and fecal samples of 24 practitioners were collected at the start (Day0: T1), middle (Day3: T2), and end (Day9:T3) of the retreat. Targeted 16S rRNA gene amplicon sequencing was performed for both oral and gut samples. Functional pathway predictions was identified using phylogenetic investigation of communities by reconstruction of unobserved states (PICRUSt2). DESeq2 was used to identify the differential abundant taxa. Various statistical analyses were performed to assess the significant changes in the data.ResultsOur findings revealed that Arhatic Yoga meditation together with a vegetarian diet led to changes in the oral and gut microbiome profiles within the 9-day retreat. Oral microbiome profile showed a significant (p < 0.05) difference in the species richness and evenness at the end of study, while non-metric multidimensional scaling (NMDS) confirmed the shift in the gut microbiome profile of the practitioners by T2 timepoint, which was further supported by PERMANOVA analysis (p < 0.05). Health-benefiting microbes known to improve the gastrointestinal and gut-barrier functions, immune modulation, and gut-brain axis were enriched. Gut microbiome of both beginner and advanced Arhatic Yoga practitioners showed similar trends of convergence by the end of study. This implies a strong selection pressure by Arhatic Yoga meditation together with a vegetarian diet on the beneficial gut microbiome.ConclusionThis pilot study demonstrates that Arhatic Yoga meditation practices combined with a vegetarian diet during a short intensive retreat resulted in enrichment of known health-promoting microbes. Such microbial consortia may be developed for potential health benefits and used as probiotics to improve the gastrointestinal and immune systems, as well as functions mediated by the gut-brain axis.Trial registrationStudy was submitted in https://clinicaltrials.gov/on28-02-2024. Retrospective registered.

The "brain–gut axis" is a bidirectional network of information exchange between the gut and the brain, in which tryptophan metabolism plays a central role, which is directly and indirectly regulated by the gut microbiota. Modulation of the gut microbiota composition is a promising therapeutic strategy for diseases associated with dysfunction of the "brain-gut axis". The aim of the study was to summarize the available literature data on the role of tryptophan metabolism in modulating the function of the "brain–gut axis". The current national and international scientific literature on the role of tryptophan metabolism in modulating the brain–gut axis was analyzed. To search for literature sources, the databases Scopus, PubMed, ResearchGate, Wiley Online Library, Google Scholar for 2018–2024 were studied, a total of 33 sources. The study described the mechanisms of serotonin and kynurenine synthesis. The impact of the gut microbiota on tryptophan metabolism in the gastrointestinal tract is considered. The role and place of serotonin, kynurenine and microbial tryptophan metabolites in the functioning of the "brain–gut axis" are described. We concluded that the gut microbiota modulates the function of the "brain–gut axis" through the interaction between the immune system, bacterial metabolites, and changes in tryptophan metabolism. Due to the fact that the composition of the gut microbiota of animals and humans is different, it is not possible to extrapolate the results of animal studies on the pathogenesis, pathophysiology and treatment of "brain–gut axis" disorders to the human population. There is a need for further human studies to explore the possibility of using tryptophan and its metabolites as biomarkers for diagnosis and development of new therapeutic strategies for diseases associated with "brain–gut axis" dysfunction. One of the options for such treatment may be methods of intestinal microbiota rebiosis that modulate tryptophan availability. Keywords: serotonin, kynurenine, central nervous system, gut, gut microbiota.

Alleviation of migraine through gut microbiota-brain axis and dietary interventions: Coupling epigenetic network information with critical literary survey

With the development of 16S rRNA technology, gut microbiome evaluation has been performed in many diseases, including gastrointestinal tumors. Among these cancers, gastric cancer (GC) exhibits high morbidity and mortality and has been extensively studied in its pathogenesis and diagnosis techniques. The current researches have proved that the gut microbiome may have the potential to distinguish GC patients from healthy patients. However, the change of the gut microbiome according to tumor node metastasis classification (TNM) has not been clarified. Besides, the characteristics of gut microbiome in GC patients and their ages of onset are also ambiguous. To address the above shortcomings, we investigated 226 fecal samples and divided them according to their tumor stage and onset age. The findings revealed that surgery and tumor stage can change the characteristic of GC patients' gut microbiota. In specific, the effect of surgery on early gastric cancer (EGC) was greater than that on advanced gastric cancer (AGC), and the comparison of postoperative microflora with healthy people indicated that EGC has more differential bacteria than AGC. Besides, we found that Collinsella, Blautia, Anaerostipes, Dorea, and Lachnospiraceae_ND3007_group expressed differently between EGC and AGC. More importantly, it is the first time revealed that the composition of gut microbiota in GC is different between different onset ages. KEY POINTS: •Gut microbiota of gastric cancer(GC) patientsare either highly associated with TNM stage and surgery or not. It shows surgery has more significant changes in early gastric cancer (EGC) than advanced gastric cancer (AGC). •There existed specific gut microbiota between EGC and AGC which may have potential to distinguish the early or advanced GC. •Onset age of GC may influence the gut microbiota: the composition of gut microbiota of early-onset gastric cancer (EOGC) and late-onset gastric cancer (LOGC) is significantly different.

Is that a rumbling I feel in my stomach? Or perhaps it is the trillions of bacteria down there who are in revolt, fomenting (or fermenting!) a microbial revolution? No active biologist or medical researcher can easily ignore the revolution in gut microbiome research in recent years. It seems that the gut microbiome, the entire microbial ecosystem occupying the gastrointestinal ecological niche, can impact almost every organ in the human body, not least of which being the brain. The gut microbiome has been found to signal to both the developing and adult mammalian brain, modulating both health and disease states (Cryan and Dinan, 2012; Mayer et al., 2014). This article is protected by copyright. All rights reserved.

Brain and the gastrointestinal (GI) tract are intimately connected to form a bidirectional neurohumoral communication system. The communication between gut and brain, knows as the gut-brain axis, is so well established that the functional status of gut is always related to the condition of brain. The researches on the gut-brain axis were traditionally focused on the psychological status affecting the function of the GI tract. However, recent evidences showed that gut microbiota communicates with the brain via the gut-brain axis to modulate brain development and behavioral phenotypes. These recent findings on the new role of gut microbiota in the gut-brain axis implicate that gut microbiota could associate with brain functions as well as neurological diseases via the gut-brain axis. To elucidate the role of gut microbiota in the gut-brain axis, precise identification of the composition of microbes constituting gut microbiota is an essential step. However, identification of microbes constituting gut microbiota has been the main technological challenge currently due to massive amount of intestinal microbes and the difficulties in culture of gut microbes. Current methods for identification of microbes constituting gut microbiota are dependent on omics analysis methods by using advanced high tech equipment. Here, we review the association of gut microbiota with the gut-brain axis, including the pros and cons of the current high throughput methods for identification of microbes constituting gut microbiota to elucidate the role of gut microbiota in the gut-brain axis.

Bones and muscles are connected anatomically, and functionally. Preliminary evidence has shown the gut microbiome influences the aging process of bone and muscle in animal studies. However, such evidence in humans is still scarce. This study aimed to assess the microbiome-bone and microbiome-muscle associations in two cohorts of community-dwelling older adults. We leveraged information from two large population-based cohorts, i.e., the Rotterdam Study (mean age 62.7 ± 5.6 years; n=1,249) and the Framingham Heart Study (mean age 55.2 ± 9.1 years; n=1,227). For individuals included in this study, gut microbiome 16S rRNA sequencing, musculoskeletal phenotyping derived from DXA images, lifestyle and socioeconomic data, and medication records were available. Per cohort, the 16S rRNA sequencing data, derived from stool, were processed with the DADA2 pipeline and taxonomies were assigned using the SILVA reference database. In addition, the microbiome functional potential was obtained with PICRUSt2. Further, we investigated the association between the human gut microbiome (alpha diversity, genera and predicted functional pathways) and appendicular lean mass (ALM), femoral neck bone mineral density (FN-BMD) and trabecular bone score (TBS) using multilinear regression models controlling for multiple confounders, and performed a joint analysis from both cohorts. Sex-stratified analyses were also conducted. The gut microbiome alpha diversity was not associated with either tested phenotype after accounting for multiple-testing (P>1.67e-02). In the joint analysis, lower abundance of Oscillibacter (beta= -.51, 95%CI [-0.74, -.29]), Anaerotruncus (beta=-0.41, 95%CI [-0.61, - 0.21]), Eisenbergiella (beta=-0.39, 95%CI [-0.59, -.19]) and higher abundance of Agathobacter (beta=0.40, 95%CI [0.20, 0.60]) were associated with higher ALM (P<2.0e-04). Lower abundance of Anaerotruncus (beta=-0.32, 95%CI [-0.45, -.19]), Hungatella (beta=-0.26, 95%CI [-0.38, -.15]) and Clostridiales bacterium DTU089 (beta=-0.37, 95%CI [-0.55, -.19]) was associated with higher ALM only in females (P< 2.0e-04). Moreover, the biotin biosynthesis II pathway was positively associated with ALM (beta=0.44, 95% CI [0.24, 0.64]) (P<1.90e-04) in females while no associations were observed in males. We did not observe any robust association of bone traits with gut microbiome features. Our results indicate that specific genera are associated with ALM in middle-aged and older adults and these associations can present in a sex-specific manner. Overall, our study suggests that the gut microbiome is linked to muscle aging in middle-aged and older adults. However, larger sample sizes are still needed to underpin the specific microbiome features involved.

Xiao-Er-An-Shen Granule inhibits dopamine production to ameliorate Tourette syndrome in mice.

Mental disorders and neurological diseases are becoming a rapidly increasing medical burden. Although extensive studies have been conducted, the progress in developing effective therapies for these diseases has still been slow. The current dilemma reminds us that the human being is a superorganism. Only when we take the human self and its partner microbiota into consideration at the same time, can we better understand these diseases. Over the last few centuries, the partner microbiota has experienced tremendous change, much more than human genes, because of the modern transformations in diet, lifestyle, medical care, and so on, parallel to the modern epidemiological transition. Existing research indicates that gut microbiota plays an important role in this transition. According to gut-brain psychology, the gut microbiota is a crucial part of the gut-brain network, and it communicates with the brain via the microbiota–gut–brain axis. The gut microbiota almost develops synchronously with the gut-brain, brain, and mind. The gut microbiota influences various normal mental processes and mental phenomena, and is involved in the pathophysiology of numerous mental and neurological diseases. Targeting the microbiota in therapy for these diseases is a promising approach that is supported by three theories: the gut microbiota hypothesis, the “old friend” hypothesis, and the leaky gut theory. The effects of gut microbiota on the brain and behavior are fulfilled by the microbiota–gut–brain axis, which is mainly composed of the nervous pathway, endocrine pathway, and immune pathway. Undoubtedly, gut-brain psychology will bring great enhancement to psychology, neuroscience, and psychiatry. Various microbiota-improving methods including fecal microbiota transplantation, probiotics, prebiotics, a healthy diet, and healthy lifestyle have shown the capability to promote the function of the gut-brain, microbiota–gut–brain axis, and brain. It will be possible to harness the gut microbiota to improve brain and mental health and prevent and treat related diseases in the future.

A growing field of studies is focusing on the microbiota-gut-brain axis in order to better understand the bidirectional communication pathways between gut bacteria and the CNS. The pathophysiology of neurological disorders including Alzheimer's disease and autism has been attributed to dysregulation of gut-brain axis. Fecal microbiota transplantation is the method of transferring faeces from a healthy donor into the intestine of a recipient in order to restore the recipient's weakened intestinal flora. It's been used to treat a wide range of conditions, including recurrent Clostridium difficile infection and inflammatory bowel disease. Gut-brain psychology will aid studies on subjects such as character, memory and behaviour and will contribute to the advancement of general psychology as well as will add more light in the field of neuropsychology. Lactobacillus and Bifidobacterium, for example, are essential components of the gut microbiota. Oligosaccharides, unsaturated fatty acids, dietary fibers and polyphenols are the most popular prebiotics. Traditional fermented foods including yoghurt, natto and pickles help to balance the gut bacteria. The gut microbiota is shaped by a person's diet and gut-brain function is controlled by it. Different types of microbiota have different effects on the brain and actions through the microbiota–gut–brain axis. Via the microbiota-gut-brain axis, a healthy diet leads to a healthy gut microbiota and brain and mental health. Dysbiosis of the gut microbiota has been shown to trigger depression-like behaviours in GF mice. Proinflammatory mediators such as iNOS, ROS, COX2 and NF-B are released by microglia, resulting in neuroinflammation in Alzheimer's disease. It is becoming more widely recognized as a symptom of Autism Spectrum Disorder. The establishment of gut-brain psychology is expected to have a significant impact on psychology and related disciplines.

The gut microbiota plays a potential role in the pathophysiology of depression through the gut–brain axis. This cross-sectional study in 400 participants from the PREDIMED-Plus study investigates the interplay between gut microbiota and depression using a multi-omics approach. Depression was defined as antidepressant use or high Beck Depression Inventory-II scores. Gut microbiota was characterized by 16S rRNA sequencing, and faecal metabolites were analysed via liquid chromatography-tandem mass spectrometry. Participants with depression exhibited significant differences in gut microbial composition and metabolic profiles. Differentially abundant taxa included Acidaminococcus, Christensenellaceae R-7 group, and Megasphaera, among others. Metabolomic analysis revealed 15 significantly altered metabolites, primarily lipids, organic acids, and benzenoids, some of which correlated with gut microbial features. This study highlights the interplay between the gut microbiota and depression, paving the way for future research to determine whether gut microbiota influences depression pathophysiology or reflects changes associated with depression.

From Gut to Brain: The roles of intestinal microbiota, immune system, and hormones in intestinal physiology and gut-brain-axis.

This study used feces from 0-day-old (36 rabbits), 10-day-old (119 rabbits), and 60-day-old (119 rabbits) offspring rabbits and their corresponding female rabbits (36 rabbits) as experimental materials. Using 16s rRNA sequencing, the study analyzed the types and changes of gut microbiota in rabbits at different growth and development stages, as well as the correlation between gut microbiota composition and the weight of 60-day-old rabbits. All experimental rabbits were placed in the same rabbit shed. Juvenile rabbits were fed solid feed at 18 days of age and weaned at 35 days of age. In addition to identifying the dominant bacterial phyla of gut microbiota in rabbits at different age stages, it was found that the abundance of Clostridium tertium and Clostridium paraputrificum in all suckling rabbits (10-day-old) was significantly higher than that in rabbits fed with whole feed (60-day-old) (p < 0.05), while the abundance of Gram-negative bacterium cTPY13 was significantly lower (p < 0.05). In addition, Fast Expected Maximum Microbial Source Tracing (FEAST) analysis showed that the contribution of female rabbits' gut microbiota to the colonization of offspring rabbits' gut microbiota was significantly higher than that of unrelated rabbits' gut microbiota (p < 0.05). The contribution of female rabbits' gut microbiota to the colonization of gut microbiota in 0-day-old rabbits was significantly higher than that to the colonization of gut microbiota in the 10- and 60-day-old rabbits (p < 0.05). Finally, the correlation between gut microbiota composition and body weight of 60-day-old rabbits was analyzed based on a mixed linear model, and six ASVs significantly affecting body weight were screened. The above results provide important theoretical and practical guidance for maintaining gut health, improving growth and development performance, and feeding formulation in rabbits.

Introduction and Objective: This study aims to examine the gut and oral microbiome characteristics associated with chronic complications in T1D and explore potential links between these microbiomes. Methods: We conducted a cross-sectional study with 74 T1D patients (disease duration &amp;gt;10 years) and 43 healthy controls. Clinical data such as blood glucose, lipids, and complication-related tests were collected. Fecal and mouthwash samples were taken for metagenomic sequencing. Patients were grouped based on the number of chronic complications (diabetic nephropathy, retinopathy, peripheral neuropathy, and macrovascular complications) into three groups: no complications, one complication, and two or more complications. The differences in gut and oral microbiomes among the groups were analyzed. Results: β-diversity analysis showed significant differences in microbiome structure across groups (p = 0.001). Specific gut bacteria (Candidatus Propionivibrio aalborgensis, Eubacterium ventriosum, Faecalibacterium prausnitzii) and oral bacteria (Microlunatus antarcticus, Streptococcus gordonii, Corynebacterium durum) were linked to the number of complications. Gut and oral microbiota showed positive correlations with each other, particularly, Candidatus Propionivibrio aalborgensis and Microlunatus antarcticus. Further analysis showed, Additionally, Eubacterium ventriosum was negatively correlated with blood glucose and vascular complications, while Microlunatus antarcticus was positively correlated with disease duration and blood glucose levels. Conclusion: Distinct oral and gut microbiome characteristics associated with varying severities of chronic complications in T1D, and the differences in oral and gut microbiome species are correlated. This study offers new insights into T1D complications and potential strategies for their management. Disclosure X. Li: None. R. Tang: None.