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20 resultsShowing papers similar to Clinical and diagnostic values of metagenomic next-generation sequencing for infection in hematology patients: a systematic review and meta-analysis
ClearClinical and diagnostic values of metagenomic next-generation sequencing for infection in hematology patients: a systematic review and meta-analysis
Researchers conducted a systematic review and meta-analysis showing that metagenomic next-generation sequencing (mNGS) — a technology that identifies pathogens by reading their DNA — achieves high detection rates for infections in blood cancer patients. The findings suggest mNGS can guide antibiotic decisions and improve patient outcomes, particularly in China where the evidence base is strongest.
Application of metagenomic next-generation sequencing in the diagnosis of urinary tract infection in patients undergoing cutaneous ureterostomy
Researchers applied metagenomic next-generation sequencing alongside urine culture to diagnose urinary tract infections in patients with cutaneous ureterostomy. The study found that combining these methods provides more comprehensive diagnostic information, and identified specific cytokines and microorganisms as promising biomarkers for building effective diagnostic models for this patient population.
Exploring the Potential of Metatranscriptomics to Describe Microbial Communities and Their Effects in Molluscs
Metatranscriptomics revealed a more complete picture of mussel microbiomes — including bacteria, viruses, fungi, and protozoans — than traditional 16S sequencing alone. The approach also identified host genes whose expression changed with pathogen load, providing new insights into how molluscs respond to microbial infections.
A combined metagenomics and metatranscriptomics approach to assess the occurrence and reduction of pathogenic bacteria in municipal wastewater treatment plants
This paper is not relevant to microplastics research — it uses metagenomics and metatranscriptomics to assess pathogenic bacteria, antibiotic-resistant genes, and mobile genetic elements in wastewater treatment plants in South Africa.
Microbiome differential abundance methods produce different results across 38 datasets
Researchers compared 14 commonly used methods for identifying differentially abundant microbes across 38 microbiome datasets. They found that different methods often produced substantially different results when applied to the same data, with high rates of disagreement between tools. The study highlights that the choice of analytical method can significantly influence microbiome research conclusions and calls for greater standardization in the field.
Meta-analysis of H. pylori and the gut microbiome interactions and clinical outcomes
This meta-analysis identified specific gut microbial signatures associated with H. pylori infection and disease progression, offering predictive models for early diagnosis and risk stratification. The findings support microbiome-based approaches to personalized treatment of H. pylori-associated gastrointestinal disorders.
mNGS 与 Xpert-MTB/RIF 在肺结核诊断中的诊断价值比较：系统综述与荟萃分析
This research review compared two methods for diagnosing tuberculosis (TB), a deadly lung infection that kills more people worldwide than any other infectious disease. Scientists found that a newer genetic testing method called mNGS was better at detecting TB bacteria than the current standard test, catching 72% of cases versus 64%. Using both tests together was even more effective at 79%, which could help doctors diagnose TB faster and save more lives by starting treatment sooner.
Diversity of antibiotic resistance gene variants at subsequent stages of the wastewater treatment process revealed by a metagenomic analysis of PCR amplicons
Not relevant to microplastics — this study uses next-generation sequencing to catalog antibiotic resistance gene variants at different stages of a wastewater treatment plant, finding that some variants change in abundance through the process while novel variants are present throughout.
Integrating Metagenomics and Immunoinformatics to Prioritize Antigens and Immune-Modulating Molecules from Environmental Microbiomes
Researchers explored how combining metagenomic sequencing of environmental microbiomes with computational immunology tools can identify microbial proteins and metabolites that modulate immunity. The study describes workflows that screen metagenome-assembled genomes from soil, water, and microplastic-associated biofilms to predict potential antigens and immune-stimulating molecules. The findings suggest this integrated approach could accelerate discovery of novel immune-modulating compounds from environmental microorganisms.
Bacterial colonization dynamics and antibiotic resistance gene dissemination in the hospital environment after first patient occupancy: a longitudinal metagenetic study
Researchers tracked how bacteria and antibiotic resistance genes spread throughout a newly opened hospital ward after its first patients arrived, providing new insights into how clinical environments become colonized with potentially dangerous microbes. The findings could help guide infection control strategies in healthcare facilities.
The virtual microbiome: A computational framework to evaluate microbiome analyses
Researchers created virtual bacterial populations mimicking real microbiome ecology to test the accuracy of standard microbiome analysis pipelines, finding that gaps in genomic databases significantly compromise microbiome characterization reliability — an issue typically overlooked in microbiome studies.
Identification of Pathogenic Bacteria in Blood Cockle (Anadara granosa) using 16S rRNA Gene
Researchers identified pathogenic bacteria in blood cockle (Anadara granosa) samples using 16S rRNA gene sequencing, characterizing the microbial contamination present in this widely consumed Indonesian seafood species. The study found multiple pathogenic bacterial genera in the cockle samples, raising food safety concerns about raw or improperly processed cockle consumption.
Aproximación hacia la diversidad funcional a partir de multiómica comparativa entre pacientes pediátricos con Síndrome Nefrótico Idiopático a través del estado clínico y el genotipo de haptoglobina
This multi-omics study compared nasopharyngeal and gut microbiome profiles and fecal metabolomes in pediatric Idiopathic Nephrotic Syndrome patients versus healthy controls, finding that haptoglobin genotype influences metabolite patterns and that microbiome composition differs between active disease and remission states.
Comprehensive profiling and risk assessment of antibiotic resistomes in surface water and plastisphere by integrated shotgun metagenomics
Researchers used shotgun metagenomics to compare antibiotic resistance genes in surface water versus the biofilms that form on microplastic surfaces, known as the plastisphere. They found that microplastics harbored distinct microbial communities with different antibiotic resistance profiles compared to surrounding water. The study raises concerns that microplastics may serve as vehicles for spreading antibiotic resistance in aquatic environments.
Metagenomic insights into the abundance and composition of resistance genes in aquatic environments: Influence of stratification and geography
A global survey of 122 lake and seawater metagenomic datasets found that antibiotic resistance genes (ARGs) and metal resistance genes (MRGs) were significantly more abundant in lake water than seawater, with multidrug resistance and bacitracin resistance as the most prevalent ARGs. The study provides a large-scale baseline for resistance gene abundance in aquatic environments and its variation with geography and stratification.
Metagenomic insights into taxonomic, functional diversity and inhibitors of microbial biofilms
This review examines the structure, diversity, and quorum-sensing mechanisms of microbial biofilms, highlighting metagenomic approaches for understanding how biofilms promote antibiotic resistance and pathogen spread in hospitals and industrial settings.
Decoding the microplastic Micro-interface: a complex Web of gene transfer and pathogenic threats in wastewater
Researchers used metagenomics to study how microplastic surfaces in wastewater treatment systems serve as hotspots for antibiotic resistance genes and pathogenic bacteria. They found that microplastic micro-interfaces supported more robust microbial networks and facilitated horizontal gene transfer of resistance and virulence genes more actively than surrounding environments. The study suggests that microplastics in wastewater may accelerate the spread of antibiotic resistance and increase pathogenicity risks.
Multidrug-resistant Pseudomonas aeruginosa in ICU patients and hospital surfaces: β-lactamase burden, biofilm formation and clonal spread
Researchers characterized 216 Pseudomonas aeruginosa isolates from ICU patients and hospital surfaces in Brazil, finding that 30.5% were multidrug-resistant, 77.3% formed strong biofilms, and clonal analysis revealed cross-hospital transmission — highlighting the role of hospital environments in spreading antibiotic-resistant pathogens.
Unraveling the role of microplastics in antibiotic resistance: Insights from long-read metagenomics on ARG mobility and host dynamics
Researchers used long-read metagenomics to investigate how microplastics serve as vectors for antibiotic resistance genes in aquatic environments. They found that plasmid-encoded resistance genes varied significantly between microplastic biofilms and surrounding water, highlighting horizontal gene transfer as a key mechanism for resistance gene enrichment on plastic surfaces. The study identified specific bacterial taxa driving this enrichment and revealed that enhanced cell adhesion and transporter activity on microplastics facilitate the spread of antibiotic resistance.
Metagenomic insights into isolable bacterial communities and antimicrobial resistance in airborne dust from pig farms
Researchers studied bacterial communities and antimicrobial resistance in airborne dust from pig farms in Thailand using metagenomic sequencing. The study found the highest bacterial concentrations inside pig houses, with Staphylococcus and Enterococcus being the most frequently isolated species, and identified that the same resistant bacteria appeared across dust, feed, and fecal samples on individual farms.