Human Gut Microbiota for Diagnosis and Treatment of Depression.

Nowadays, depressive disorder is spreading rapidly all over the world. Therefore, attention to the studies of the pathogenesis of the disease in order to find novel ways of early diagnosis and treatment is increasing among the scientific and medical communities. Special attention is drawn to a biomarker and therapeutic strategy through the microbiota-gut-brain axis. It is known that the symbiotic interactions between the gut microbes and the host can affect mental health. The review analyzes the mechanisms and ways of action of the gut microbiota on the pathophysiology of depression. The possibility of using knowledge about the taxonomic composition and metabolic profile of the microbiota of patients with depression to select gene compositions (metagenomic signature) as biomarkers of the disease is evaluated. The use of in silico technologies (machine learning) for the diagnosis of depression based on the biomarkers of the gut microbiota is given. Alternative approaches to the treatment of depression are being considered by balancing the microbial composition through dietary modifications and the use of additives, namely probiotics, postbiotics (including vesicles) and prebiotics as psychobiotics, and fecal transplantation. The bacterium Faecalibacterium prausnitzii is under consideration as a promising new-generation probiotic and auxiliary diagnostic biomarker of depression. The analysis conducted in this review may be useful for clinical practice and pharmacology.

Unveiling the Connection between Microbiota and Depressive Disorder through Machine Learning.

In the last few years, investigation of the gut-brain axis and the connection between the gut microbiota and the human nervous system and mental health has become one of the most popular topics. Correlations between the taxonomic and functional changes in gut microbiota and major depressive disorder have been shown in several studies. Machine learning provides a promising approach to analyze large-scale metagenomic data and identify biomarkers associated with depression. In this work, machine learning algorithms, such as random forest, elastic net, and You Only Look Once (YOLO), were utilized to detect significant features in microbiome samples and classify individuals based on their disorder status. The analysis was conducted on metagenomic data obtained during the study of gut microbiota of healthy people and patients with major depressive disorder. The YOLO method showed the greatest effectiveness in the analysis of the metagenomic samples and confirmed the experimental results on the critical importance of a reduction in the amount of Faecalibacterium prausnitzii for the manifestation of depression. These findings could contribute to a better understanding of the role of the gut microbiota in major depressive disorder and potentially lead the way for novel diagnostic and therapeutic strategies.

Oxidative Stress Response of Probiotic Strain Bifidobacterium longum subsp. longum GT15.

Bifidobacterium is a predominant and important genus in the bacterial population of the human gut microbiota. Despite the increasing number of studies on the beneficial functionality of bifidobacteria for human health, knowledge about their antioxidant potential is still insufficient. Several in vivo and in vitro studies of Bifidobacterium strains and their cellular components have shown good antioxidant capacity that provided a certain protection of their own and the host's cells. Our work presents the data of transcriptomic, proteomic, and metabolomic analyses of the growing and stationary culture of the probiotic strain B. longum subsp. longum GT15 after exposure to hydrogen peroxide for 2 h and oxygen for 2 and 4 h. The results of the analysis of the sequenced genome of B. longum GT15 showed the presence of 16 gene-encoding proteins with known antioxidant functions. The results of the full transcriptomic analysis demonstrated a more than two-fold increase of levels of transcripts for eleven genes, encoding proteins with antioxidant functions. Proteomic data analysis showed an increased level of more than two times for glutaredoxin and thioredoxin after the exposure to oxygen, which indicates that the thioredoxin-dependent antioxidant system may be the major redox homeostasis system in B. longum bacteria. We also found that the levels of proteins presumably involved in global stress, amino acid metabolism, nucleotide and carbohydrate metabolism, and transport had significantly increased in response to oxidative stress. The metabolic fingerprint analysis also showed good discrimination between cells responding to oxidative stress and the untreated controls. Our results provide a greater understanding of the mechanism of oxidative stress response in B. longum and the factors that contribute to its survival in functional food products.

Multi-level analysis of the gut-brain axis shows autism spectrum disorder-associated molecular and microbial profiles.

Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by heterogeneous cognitive, behavioral and communication impairments. Disruption of the gut-brain axis (GBA) has been implicated in ASD although with limited reproducibility across studies. In this study, we developed a Bayesian differential ranking algorithm to identify ASD-associated molecular and taxa profiles across 10 cross-sectional microbiome datasets and 15 other datasets, including dietary patterns, metabolomics, cytokine profiles and human brain gene expression profiles. We found a functional architecture along the GBA that correlates with heterogeneity of ASD phenotypes, and it is characterized by ASD-associated amino acid, carbohydrate and lipid profiles predominantly encoded by microbial species in the genera Prevotella, Bifidobacterium, Desulfovibrio and Bacteroides and correlates with brain gene expression changes, restrictive dietary patterns and pro-inflammatory cytokine profiles. The functional architecture revealed in age-matched and sex-matched cohorts is not present in sibling-matched cohorts. We also show a strong association between temporal changes in microbiome composition and ASD phenotypes. In summary, we propose a framework to leverage multi-omic datasets from well-defined cohorts and investigate how the GBA influences ASD.

Alterations of the Composition and Neurometabolic Profile of Human Gut Microbiota in Major Depressive Disorder.

Major depressive disorder (MDD) is among the most prevalent mental disorders worldwide. Factors causing the pathogenesis of MDD include gut microbiota (GM), which interacts with the host through the gut-brain axis. In previous studies of GM in MDD patients, 16S rRNA sequencing was used, which provided information about composition but not about function. In our study, we analyzed whole metagenome sequencing data to assess changes in both the composition and functional profile of GM. We looked at the GM of 36 MDD patients, compared with that of 38 healthy volunteers. Comparative taxonomic analysis showed decreased abundances of Faecalibacterium prausnitzii, Roseburia hominis, and Roseburia intestinalis, and elevated abundances of Escherichia coli and Ruthenibacterium lactatiformans in the GM of MDD patients. We observed decreased levels of bacterial genes encoding key enzymes involved in the production of arginine, asparagine, glutamate, glutamine, melatonin, acetic, butyric and conjugated linoleic acids, and spermidine in MDD patients. These genes produced signature pairs with Faecalibacterium prausntizii and correlated with decreased levels of this species in the GM of MDD patients. These results show the potential impact of the identified biomarker bacteria and their metabolites on the pathogenesis of MDD, and should be confirmed in future metabolomic studies.

CRISPR-Cas Systems in Gut Microbiome of Children with Autism Spectrum Disorders.

The human gut microbiome is associated with various diseases, including autism spectrum disorders (ASD). Variations of the taxonomical composition in the gut microbiome of children with ASD have been observed repeatedly. However, features and parameters of the microbiome CRISPR-Cas systems in ASD have not been investigated yet. Here, we demonstrate such an analysis in order to describe the overall changes in the microbiome CRISPR-Cas systems during ASD as well as to reveal their potential to be used in diagnostics and therapy. For the systems identification, we used a combination of the publicly available tools suited for completed genomes with subsequent filtrations. In the considered data, the microbiomes of children with ASD contained fewer arrays per Gb of assembly than the control group, but the arrays included more spacers on average. CRISPR arrays from the microbiomes of children with ASD differed from the control group neither in the fractions of spacers with protospacers from known genomes, nor in the sets of known bacteriophages providing protospacers. Almost all bacterial protospacers of the gut microbiome systems for both children with ASD and the healthy ones were located in prophage islands, leaving no room for the systems to participate in the interspecies competition.

Biomarkers and Utility of the Antioxidant Potential of Probiotic Lactobacilli and Bifidobacteria as Representatives of the Human Gut Microbiota.

Lactobacilli and bifidobacteria are an important part of human gut microbiota. Among numerous benefits, their antioxidant properties are attracting more and more attention. Multiple in vivo and in vitro studies have demonstrated that lactobacilli and bifidobacteria, along with their cellular components, possess excellent antioxidant capacity, which provides a certain degree of protection to the human body against diseases associated with oxidative stress. Recently, lactobacilli and bifidobacteria have begun to be considered as a new source of natural antioxidants. This review summarizes the current state of research on various antioxidant properties of lactobacilli and bifidobacteria. Special emphasis is given to the mechanisms of antioxidant activity of these bacteria in the human gut microbiota, which involve bacterial cell components and metabolites. This review is also dedicated to the genes involved in the antioxidant properties of lactobacilli and bifidobacteria strains as indicators of their antioxidant potential in human gut microbiota. Identification of the antioxidant biomarkers of the gut microbiota is of great importance both for creating diagnostic systems for assessing oxidative stress and for choosing strategies aimed at restoring the normal functioning of the microbiota and, through it, restoring human health. In this review, the practical application of probiotic strains with proven antioxidant properties to prevent oxidative stress is also considered.

Bacterial Metabolites of Human Gut Microbiota Correlating with Depression.

Depression is a global threat to mental health that affects around 264 million people worldwide. Despite the considerable evolution in our understanding of the pathophysiology of depression, no reliable biomarkers that have contributed to objective diagnoses and clinical therapy currently exist. The discovery of the microbiota-gut-brain axis induced scientists to study the role of gut microbiota (GM) in the pathogenesis of depression. Over the last decade, many of studies were conducted in this field. The productions of metabolites and compounds with neuroactive and immunomodulatory properties among mechanisms such as the mediating effects of the GM on the brain, have been identified. This comprehensive review was focused on low molecular weight compounds implicated in depression as potential products of the GM. The other possible mechanisms of GM involvement in depression were presented, as well as changes in the composition of the microbiota of patients with depression. In conclusion, the therapeutic potential of functional foods and psychobiotics in relieving depression were considered. The described biomarkers associated with GM could potentially enhance the diagnostic criteria for depressive disorders in clinical practice and represent a potential future diagnostic tool based on metagenomic technologies for assessing the development of depressive disorders.

The bacterial neurometabolic signature of the gut microbiota of young children with autism spectrum disorders.

Introduction. The human gut microbiota is currently seen as an important factor that can promote autism spectrum disorder (ASD) development in children.Aim. This study aimed to detect differences in the taxonomic composition and content of bacterial genes encoding key enzymes involved in the metabolism of neuroactive biomarker compounds in the metagenomes of gut microbiota of children with ASD and neurotypical children.Methodology. A whole metagenome sequencing approach was used to obtain metagenomic data on faecal specimens of 36 children with ASD and 21 healthy neurotypical children of 3-5 years old. Taxonomic analysis was conducted using MetaPhlAn2. The developed bioinformatics algorithm and created catalogue of the orthologues were applied to identify bacterial genes of neuroactive compounds in the metagenomes. For the identification of metagenomic signatures of children with ASD, Wilcoxon's test and adjustment for multiple comparisons were used.Results. Statistically significant differences with decreases in average abundance in the microbiota of ASD children were found for the genera Barnesiella and Parabacteroides and species Alistipes putredinis, B. caccae, Bacteroides intestinihominis, Eubacterium rectale, Parabacteroides distasonis and Ruminococcus lactaris. Average relative abundances of the detected genes and neurometabolic signature approach did not reveal many significant differences in the metagenomes of the groups that were compared. We noted decreases in the abundance of genes linked to production of GABA, melatonine and butyric acid in the ASD metagenomes.Conclusion. For the first time, the neurometabolic signature of the gut microbiota of young children with ASD is presented. The data can help to provide a comparative assessment of the transcriptional and metabolomic activity of the identified genes.

Antibiotic Resistance Genes in the Gut Microbiota of Children with Autistic Spectrum Disorder as Possible Predictors of the Disease.

The gut microbiota (GM), which contains thousands of bacterial species, is a reservoir of antibiotic resistance genes (ARGs) called resistome. Early life exposure to antibiotics alters significantly the composition and function of the gut microbiota of children, which may trigger symptoms of autism spectrum disorder (ASD). This is because the GM plays an important role in the bidirectional communication between the gut and the brain and influences the brain normal functioning through multiple pathways. The goal of this article is to study the distribution of ARGs in the GM of 3- to 5-year-old healthy children and children with ASD living in Moscow, Russia. The metagenomic analysis of samples from both groups revealed differences in the signatures between them. The signatures consisted of the bacterial genera and aminoglycoside, ß-lactam, macrolide, and tetracycline resistance genes that they harbored. Our results show an increase in ARGs in the resistome of the GM of children with ASD. These findings emphasize the negative influence of early-life antibiotic therapy. We found three ARGs, aac(6')-aph(2''), cepA-49, and tet(40), which could serve as markers of ASD. The additional functions carried out by the enzymes, encoded by these genes, are being discussed.

Neuropeptides in the microbiota-brain axis and feeding behavior in autism spectrum disorder.

A combination of altered social and feeding behaviors is common in children with autism spectrum disorder (ASD); however, the underlying mechanisms are unknown. Nevertheless, it has been established that several specific neuropeptides are critically involved in the regulation of both feeding and social behavior, such as α-melanocyte-stimulating hormone (α-MSH) and oxytocin, respectively. Moreover, recent data implicated gut microbiota in regulation of host feeding and emotion and revealed its dysbiosis in ASD, suggesting a mechanistic role of altered microbiota-brain axis in ASD. In this review, we discuss how gut microbiota dysbiosis may alter hunger and satiety peptide hormones as well as brain peptidergic pathways involved in the regulation of host feeding and social behaviors and hence may contribute to the ASD pathophysiology. In particular, we show that interactions between α-MSH and oxytocin systems in the brain can provide clues for better understanding of the mechanisms underlying altered feeding and social behaviors in ASD and that the origin of such alterations can be linked to gut microbiota.

Draft Genome Sequences of Bifidobacterium angulatum GT102 and Bifidobacterium adolescentis 150: Focusing on the Genes Potentially Involved in the Gut-Brain Axis.

The draft genome sequences of Bifidobacterium angulatum GT102 and Bifidobacterium adolescentis 150 strains isolated from the human intestinal microbiota are reported. Both strains are able to produce gamma-aminobutyric acid (GABA). Detailed genomes analysis will help to understand the role of GABA in the functioning of gut-brain axis.

Complete Genome Sequence of Bifidobacterium longum GT15: Identification and Characterization of Unique and Global Regulatory Genes.

In this study, we report the first completely annotated genome sequence of the Russia origin Bifidobacterium longum subsp. longum strain GT15. Comparative genomic analysis of this genome with other available completely annotated genome sequences of B. longum strains isolated from other countries has revealed a high degree of conservation and synteny across the entire genomes. However, it was discovered that the open reading frames to 35 genes were detected only from the B. longum GT15 genome and absent from other genomes B. longum strains (not of Russian origin). These so-called unique genes (UGs) represent a total length of 39,066 bp, with G + C content ranging from 37 to 65 %. Interestingly, certain genes were detected in other B. longum strains of Russian origin. In our analysis, we examined genes for global regulatory systems: proteins of toxin-antitoxin (TA) systems type II, serine/threonine protein kinases (STPKs) of eukaryotic type, and genes of the WhiB-like family proteins. In addition, we have made in silico analysis of all the most significant probiotic genes and considered genes involved in epigenetic regulation and genes responsible for producing various neuromediators. This genome sequence may elucidate the biology of this probiotic strain as a promising candidate for practical (pharmaceutical) applications.

Complete Genome Sequence of Bifidobacterium longum GT15: Unique Genes for Russian Strains.

In this study, we report the first completely annotated genome sequence of the Russian-origin Bifidobacterium longum subsp. longum strain GT15. We discovered 35 unique genes (UGs) which were detected from only the B. longum GT15 genome and were absent from other B. longum strain genomes (not of Russian origin).

Identification and characterization of the serine/threonine protein kinases in Bifidobacterium.

Six genes encoding the bifidobacterial Hanks-type (eukaryote-like) serine/threonine protein kinases (STPK) were identified and classified. The genome of each bifidobacterial strain contains four conserved genes and one species-specific gene. Bifidobacterium longum and Bifidobacterium bifidum possess the unique gene found only in these species. The STPK genes of Russian industrial probiotic strain B. longum B379M were cloned and sequenced. The expression of these genes in Escherichia coli and bifidobacteria was observed. Autophosphorylation of the conserved STPK Pkb5 and species-specific STPK Pkb2 was demonstrated. This is the first report on Hanks-type STPK in bifidobacteria.

Identification and characterization of WhiB-like family proteins of the Bifidobacterium genus.

Bifidobacteria are strictly anaerobic bacteria, that are an important component of human microbiote due to their probiotic characteristics. They are frequently exposed to a variety of stresses, therefore, identification of genes implicated in stress responses in bifidobacteria is critical for biomedicine and maintenance of industrial strains. The WhiB-like family proteins unique for Actinobacteria are transcriptional regulators involved in major cellular processes, including stress responses. The aim of this study was the identification of WhiB-like family proteins of the Bifidobacterium genus of the Actinobacteria class and functional characterization of conservative whiB-like genes. The DNA sequence database of 36 strains revealed a family of WhiB-encoding genes. It were identified the wblE orthologs in all Bifidobacteria species and the whiB2 orthologs in all bifidobacterial strains except of all strains of Bifidobacterium animalis subsp. lactis and Bifidobacterium gallicum. Some strains, in particular, those of the Bifidobacterium longum group, contain additional whiB-like genes of different length and a low degree of similarity in sequences. The wblE and whiB2 genes of the Bifidobacterium genus are evolutionary conservative and ancient genes. The real-time PCR analysis showed that transcription of wblE is induced by a variety of stress conditions such as heat shock, osmotic, oxidative stresses, by antibiotic tetracycline and bile salt treatment, the nutrient starvation and entry into late stationary phase. The wblE gene may play a significant role in general stress responses in bifidobacteria.

Regulation of ribonuclease E activity by the L4 ribosomal protein of Escherichia coli.

Whereas ribosomal proteins (r-proteins) are known primarily as components of the translational machinery, certain of these r-proteins have been found to also have extraribosomal functions. Here we report the novel ability of an r-protein, L4, to regulate RNA degradation in Escherichia coli. We show by affinity purification, immunoprecipitation analysis, and E. coli two-hybrid screening that L4 interacts with a site outside of the catalytic domain of RNase E to regulate the endoribonucleolytic functions of the enzyme, thus inhibiting RNase E-specific cleavage in vitro, stabilizing mRNAs targeted by RNase E in vivo, and controlling plasmid DNA replication by stabilizing an antisense regulatory RNA normally attacked by RNase E. Broader effects of the L4-RNase E interaction on E. coli transcripts were shown by DNA microarray analysis, which revealed changes in the abundance of 65 mRNAs encoding the stress response proteins HslO, Lon, CstA, YjiY, and YaeL, as well as proteins involved in carbohydrate and amino acid metabolism and transport, transcription/translation, and DNA/RNA synthesis. Analysis of mRNA stability showed that the half lives of stress-responsive transcripts were increased by ectopic expression of L4, which normally increases along with other r-proteins in E. coli under stress conditions, and also by inactivation of RNase E. Our finding that L4 can inhibit RNase E-dependent decay may account at least in part for the elevated production of stress-induced proteins during bacterial adaptation to adverse environments.