Applied Microbiology and Biotechnology, Journal Year: 2022, Volume and Issue: 106(21), P. 6899 - 6913
Published: Oct. 3, 2022
Language: Английский
Journal of Endocrinology, Journal Year: 2022, Volume and Issue: 256(3)
Published: Dec. 2, 2022
The human body is inhabited by numerous bacteria, fungi, and viruses, each part has a unique microbial community structure. gastrointestinal tract harbors approximately 100 trillion strains comprising more than 1000 bacterial species that maintain symbiotic relationships with the host. gut microbiota consists mainly of phyla Firmicutes, Bacteroidetes, Proteobacteria, Actinobacteria. Of these, Firmicutes Bacteroidetes constitute 70-90% total abundance. Gut utilize nutrients ingested host, interact other species, help healthy homeostasis in In recent years, it become increasingly clear breakdown structure its functions, known as dysbiosis, associated development allergies, autoimmune diseases, cancers, arteriosclerosis, among others. Metabolic such obesity diabetes, also have causal relationship dysbiosis. present review provides brief overview general roles their metabolic disorders.
Language: Английский
Citations
93
Gut Microbes, Journal Year: 2023, Volume and Issue: 15(1)
Published: Feb. 16, 2023
The gut microbiome serves as a signaling hub that integrates environmental inputs with genetic and immune signals to influence the host's metabolism immunity. Gut bacteria are intricately connected human health disease state, specific species driving characteristic dysbiosis found in gastrointestinal conditions such inflammatory bowel (IBD); thus, changes could be harnessed improve IBD diagnosis, prognosis, treatment. advancement next-generation sequencing techniques 16S rRNA whole-genome shotgun has allowed exploration of complexity microbial ecosystem high resolution. Current data is promising appears perform better some studies than currently used fecal inflammation biomarker, calprotectin, predicting from healthy controls irritable syndrome (IBS). This study reviews current on differential potential within cohorts, between other diseases.
Language: Английский
Citations
43
Seminars in Immunology, Journal Year: 2024, Volume and Issue: 71, P. 101859 - 101859
Published: Jan. 21, 2024
Language: Английский
Citations
18
Biomarker Research, Journal Year: 2024, Volume and Issue: 12(1)
Published: Sept. 27, 2024
Abstract Cells, as the fundamental units of life, contain multidimensional spatiotemporal information. Single-cell RNA sequencing (scRNA-seq) is revolutionizing biomedical science by analyzing cellular state and intercellular heterogeneity. Undoubtedly, single-cell transcriptomics has emerged one most vibrant research fields today. With optimization innovation technologies, intricate details concealed within cells are gradually unveiled. The combination scRNA-seq other multi-omics at forefront field. This involves simultaneously measuring various omics data individual cells, expanding our understanding across a broader spectrum dimensions. precisely captures aspects transcriptomes, immune repertoire, spatial information, temporal epitopes, in diverse contexts. In addition to depicting cell atlas normal or diseased tissues, it also provides cornerstone for studying differentiation development patterns, disease heterogeneity, drug resistance mechanisms, treatment strategies. Herein, we review traditional technologies outline latest advancements multi-omics. We summarize current status challenges applying biological clinical applications. Finally, discuss limitations potential strategies address them.
Language: Английский
Citations
18
Microorganisms, Journal Year: 2023, Volume and Issue: 11(1), P. 192 - 192
Published: Jan. 12, 2023
Healthcare-associated infections (HAIs) are still a global public health concern, associated with high mortality and increased by the phenomenon of antimicrobial resistance. Causative agents HAIs commonly found in hospital environment monitored epidemiological surveillance programs; however, is potential reservoir for pathogenic microbial strains where microorganisms may persist on medical equipment surfaces, surrounding patients, corporal surfaces patients healthcare workers (HCWs). The characterization microbiota provide knowledge regarding relatedness between commensal microorganisms, their role development, environmental conditions that favor its proliferation. This information contribute to effective control dissemination pathogens improve infection programs. In this review, we describe evidence contribution HAI development factors, resistance, virulence factors community persistence surfaces.
Language: Английский
Citations
30
Neural Regeneration Research, Journal Year: 2023, Volume and Issue: 19(4), P. 833 - 845
Published: Aug. 14, 2023
A growing body of evidence suggests that the gut microbiota contributes to development neurodegenerative diseases via microbiota-gut-brain axis. As a contributing factor, dysbiosis always occurs in pathological changes diseases, such as Alzheimer's disease, Parkinson's and amyotrophic lateral sclerosis. High-throughput sequencing technology has helped reveal bidirectional communication between central nervous system enteric is facilitated by microbiota's diverse microorganisms, for both neuroimmune neuroendocrine systems. Here, we summarize bioinformatics analysis wet-biology validation metagenomics with an emphasis on multi-omics studies virome. The pathogen-associated signaling biomarkers identifying brain disorders potential therapeutic targets are also elucidated. Finally, discuss role diet, prebiotics, probiotics, postbiotics exercise interventions remodeling microbiome reducing symptoms diseases.
Language: Английский
Citations
29
Journal of Clinical Microbiology, Journal Year: 2023, Volume and Issue: unknown
Published: May 18, 2023
Bacterial vaginosis (BV) is the most common cause of vaginal discharge among reproductive-age women. It associated with multiple adverse health outcomes, including increased risk acquisition HIV and other sexually transmitted infections (STIs), in addition to birth outcomes. While it known that BV a dysbiosis characterized by shift microbiota from protective Lactobacillus species an increase facultative strict anaerobic bacteria, its exact etiology remains unknown. The purpose this minireview provide updated overview range tests currently used for diagnosis both clinical research settings. This article divided into two primary sections: traditional diagnostics molecular diagnostics. Molecular diagnostic assays, particularly 16S rRNA gene sequencing, shotgun metagenomic fluorescence situ hybridization (FISH), are specifically highlighted, multiplex nucleic acid amplification (NAATs), given their increasing use practice (NAATs) studies (16S FISH) regarding pathogenesis. We also discussion strengths weaknesses current discuss future challenges field research.
Language: Английский
Citations
28
Microbiome, Journal Year: 2023, Volume and Issue: 11(1)
Published: Jan. 13, 2023
Abstract Background Celiac disease (CD) is an autoimmune disorder triggered by gluten consumption. Almost all CD patients possess human leukocyte antigen (HLA) DQ2/DQ8 haplotypes; however, only a small subset of individuals carrying these alleles develop CD, indicating the role environmental factors in pathogenesis. The main objective this study was to determine contributory gut microbiota and microbial metabolites onset. To end, we obtained fecal samples from prospective cohort (ABIS) at ages 2.5 5 years. Samples were collected children who developed after final sample collection (CD progressors) healthy matched age, HLA genotype, breastfeeding duration, gluten-exposure time ( n =15–16). We first used 16S sequencing immunoglobulin-A (IgA-seq) using same (i) 16 controls 15 progressors age (ii) 13 9 5. completed cytokine profiling, plasma metabolomics =7–9). also determined effects one microbiota-derived metabolite, taurodeoxycholic acid (TDCA), on intestines immune cell composition vivo. Results have distinct composition, increased IgA response, unique targets compared subjects. Notably, 26 metabolites, five cytokines, chemokine significantly altered Among identified 2-fold increase TDCA. TDCA treatment alone caused villous atrophy, CD4+ T cells, Natural Killer two important immunoregulatory proteins, Qa-1 NKG2D expression cells while decreasing T-regulatory intraepithelial lymphocytes (IELs) C57BL/6J mice. Conclusions Pediatric metabolome, profile before diagnosis. Furthermore, more IgA-coated bacteria their microbiota. feeding stimulates inflammatory response C57BJ/6 mice causes hallmark CD. Thus, TDCA, enriched progressors’ plasma, has potential drive inflammation enhance
Language: Английский
Citations
26
Advanced Science, Journal Year: 2023, Volume and Issue: 10(35)
Published: Nov. 1, 2023
Abstract Fecal microbiota transplantation (FMT) has emerged as a promising therapeutic approach for dysbiosis‐related diseases. However, the clinical practice of crude fecal transplants presents limitations in terms acceptability and reproductivity. Consequently, two alternative solutions to FMT are developed: transplanting bacteria communities or virome. Advanced methods mainly include washed spores treatment. Transplanting virome is also explored, with development transplantation, which involves filtering from feces. These approaches provide more palatable options patients healthcare providers while minimizing research heterogeneity. In general, evolution next generation global trends components focuses on
Language: Английский
Citations
24
Current Research in Biotechnology, Journal Year: 2024, Volume and Issue: 7, P. 100211 - 100211
Published: Jan. 1, 2024
The human gut microbiome is an intricate ecosystem with profound implications for host metabolism, immune function, and neuroendocrine activity. Over the years, studies have strived to decode this microbial universe, especially its interactions health underlying metabolic processes. Traditional analyses often struggle complex interplay within due presumptions of independence. In response, machine learning (ML) deep (DL) provide advanced multivariate non-linear analytical tools that adeptly capture microbiota. With influx data from metagenomic next-generation sequencing (mNGS), there's increasing reliance on these artificial intelligence (AI) subsets derive actionable insights. This review delves into cutting-edge ML techniques tailored microbiota research. It further underscores potential in shaping clinical diagnostics, prognosis, intervention strategies, pointing a future where computational methods bridge gap between knowledge targeted interventions.
Language: Английский
Citations
15