Frontiers in Microbiology, Год журнала: 2024, Номер 15
Опубликована: Сен. 10, 2024
Fishborne trematode (FBT) is an important group of parasites that are endemic worldwide to a certain extent. However, despite the epidemiological significance, species and phylogenetic evolution characteristics FBT metacercariae have not been well studied. In this study, total 600
Язык: Английский
Journal of Translational Medicine, Год журнала: 2025, Номер 23(1)
Опубликована: Апрель 10, 2025
Knowledge of the urinary microbiome (urobiome) in diabetic kidney disease (DKD) remains limited. The most commonly used 16S rRNA sequencing technique can only provide bacterial identification at genus level. As a novel technique, 2bRAD for (2bRAD-M) be to identify low-biomass species In this study, we 2bRAD-M compare urobiome composition patients with DKD different stages healthy individuals and those type 2 diabetes mellitus (T2DM), expectation that would find discriminative correlated DKD. Healthy controls, microalbuminuria (DKD1 group) or macroalbuminuria (DKD2 group), T2DM were recruited (n = 20 each group). first-morning urine was collected testing. albumin-to-creatinine ratio (ACR) also measured samples. Serum samples detecting clinical indicators. microbial diversity based on abundance calculated. Differential bacteria groups identified. Besides, correlation between indices analyzed. Urobiome significantly reduced groups. DKD1 group, dominant genus, followed by Pseudomonas_E, whereas DKD2 Pseudomonas_E became Escherichia notably reduced. Both Bifidobacterium Streptococcus, which top genera control substantially decreased included coli Acinetobacter johnsonii, while DKD2, oleovorans, Enterococcus faecalis, Morganella morganii showed strong renal function indicators protein levels. markedly from patients. These findings valuable insights into onset progression DKD, driven changes community structure.
Язык: Английский
Процитировано
0
Frontiers in Medical Technology, Год журнала: 2025, Номер 6
Опубликована: Апрель 15, 2025
The microbiome of the gut is a complex ecosystem that contains wide variety microbial species and functional capabilities. has significant impact on health disease by affecting endocrinology, physiology, neurology. It can change progression certain diseases enhance treatment responses tolerance. microbiota plays pivotal role in human health, influencing range physiological processes. Recent advances computational tools artificial intelligence (AI) have revolutionized study microbiota, enabling identification biomarkers are critical for diagnosing treating various diseases. This review hunts through cutting-edge methodologies integrate multi-omics data—such as metagenomics, metaproteomics, metabolomics—providing comprehensive understanding microbiome's composition function. Additionally, machine learning (ML) approaches, including deep network-based methods, explored their ability to uncover patterns within data, offering unprecedented insights into interactions link host health. By highlighting synergy between traditional bioinformatics advanced AI techniques, this underscores potential these approaches enhancing biomarker discovery developing personalized therapeutic strategies. convergence advancements research marks step forward precision medicine, paving way novel diagnostics treatments tailored individual profiles. Investigators discover connections microorganisms, expression genes, profiles metabolites. Individual reactions medicines target microbes be predicted models driven intelligence. possible obtain medicine first gaining an development disease. application allows customization specific environment individual.
Язык: Английский
Процитировано
0
Forensic Science Medicine and Pathology, Год журнала: 2025, Номер unknown
Опубликована: Апрель 21, 2025
Язык: Английский
Процитировано
0
Mathematics, Год журнала: 2024, Номер 12(17), С. 2717 - 2717
Опубликована: Авг. 30, 2024
Microbiota analysis can provide valuable insights in various fields, including diet and nutrition, understanding health disease, environmental contexts, such as the role of microorganisms different ecosystems. Based on results, we targeted therapies, personalized medicine, or detect contaminants. In our research, examined gut microbiota 16 animal taxa, humans, well cattle pig manure, where focused 16S rRNA V3-V4 hypervariable regions. Analyzing these regions is common microbiome studies but be challenging since results are high-dimensional. Thus, utilized machine learning techniques demonstrated their applicability processing microbial sequence data. Moreover, showed that commonly employed natural language adapted for analyzing text vectors. We obtained latter through frequency analyses proposed hierarchical clustering method over them. All steps this study were gathered a data pipeline. The demonstrate not only found similarities between samples also sorted groups’ into semantically related clusters. tested against other known algorithms like Kmeans Spectral Clustering using evaluation metrics. superiority pipeline types microbiota, oral, gut, skin, demonstrating its reusability robustness.
Язык: Английский
Процитировано
1
Tropical Medicine and Infectious Disease, Год журнала: 2024, Номер 9(7), С. 152 - 152
Опубликована: Июль 6, 2024
Background: The high prevalence of suspected early-onset neonatal sepsis among preterm infants leads to immediate antibiotic administration upon admission. Notably, most blood cultures for do not yield a causative pathogen. This study aimed assess polymerase chain reaction (PCR) targeting the variable region V4 16S ribosomal gene (16S rDNA) and Sanger sequencing bacterial identification in with sepsis. Methods: Therefore, this prospective was conducted. Preterm were included study. three groups formed based on risk infection clinical Blood samples collected admission unit culture molecular analysis. PCR amplification subsequent rDNA performed. Results: Twenty-eight patients negative 100% patients. Amplification identified genera 19 across distinct groups. predominant taxonomically genus Pseudomonas. Conclusions: Amplifying through neonates can enhance microbial species that cause infection, especially cultures.
Язык: Английский
Процитировано
0
Genes, Год журнала: 2024, Номер 15(9), С. 1129 - 1129
Опубликована: Авг. 27, 2024
To date, studies on microbial forensics have focused mainly sequence analysis and generally do not include information the quantification of comparison between human bacterial DNA present in forensic samples. Knowing amount each type can be important for determining when how best to employ analysis, especially there is insufficient successful short tandem repeat (STR) typing. The goal this work was develop a quantitative PCR (qPCR) assay that simultaneously quantifies would simple cost-effective laboratories implement. Through reproducibility study several small-scale experiments, reliability custom qPCR established. A illustrated multiplex produced data comparable previously established assays. experiments showed common surfaces such as keyboards (6.76 pg/μL), elevator buttons (11.9 cleaning supplies (7.17 dispensers (16.4 pg/μL) failed produce quantities sufficient quality STR (≥250 pg). However, all tested suitable reaching 1 ng amplified targets necessary analysis. In fact, concentrations down 10−8 ng/uL enough product sequencing. newly developed tool will allow scientists make better decisions regarding whether or methods pursued during other investigations.
Язык: Английский
Процитировано
0
Food Bioscience, Год журнала: 2024, Номер 62, С. 105079 - 105079
Опубликована: Сен. 8, 2024
Язык: Английский
Процитировано
0
Frontiers in Microbiology, Год журнала: 2024, Номер 15
Опубликована: Сен. 10, 2024
Fishborne trematode (FBT) is an important group of parasites that are endemic worldwide to a certain extent. However, despite the epidemiological significance, species and phylogenetic evolution characteristics FBT metacercariae have not been well studied. In this study, total 600
Язык: Английский
Процитировано
0