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Biology subjects

Patel, V. C.

Publications and source records attributed to Patel, V. C..

3 recordsLinked to original sources

Decoding the microbiome and resistome of advanced chronic liver disease through long-read metagenomics

IntroductionPatients with advanced chronic liver disease (ACLD) and underlying cirrhosis frequently require repeated courses of antimicrobial therapy, with both the frequency and spectrum of antimicrobial exposure increasing alongside disease progression. In this population, impaired immune function and increased intestinal barrier dysfunction contribute to a heightened susceptibility of multidrug-resistant bacterial infections. ObjectiveTo comprehensively characterise the gastrointestinal microbiome and antimicrobial resistance gene (ARG) landscape across the clinical spectrum of ACLD, and to identify microbial and resistome signatures associated with disease severity. DesignWe employed long-read metagenomic sequencing (Oxford Nanopore Technologies) to profile the gastrointestinal microbiome and resistome across distinct ACLD stages: acute-on-chronic liver failure (ACLF), decompensated cirrhosis (DC), and stable cirrhosis, compared to healthy controls. ResultsACLF patients had pronounced levels of Enterococcus faecium, with six samples out of 28 showing over 95% relative abundance, suggesting its potential as a bacterial biomarker for advanced cirrhosis. We reconstructed 28 high-quality MAGs of E. faecium from cirrhosis patients, 17 of which originated from ACLF cases. This dominance of E. faecium correlated with substantially reduced microbial diversity and a marked depletion of key commensal taxa, including Blautia, Akkermansia, Faecalibacterium, and Bifidobacterium. Resistome analysis revealed significant enrichment of clinically relevant ARGs in DC and ACLF, including those conferring resistance to aminoglycosides, beta-lactams, and glycopeptides, correlating with prior antimicrobial exposure. ConclusionLong-read metagenomics enables high-resolution characterisation of microbial and resistome dynamics across ACLD severities. By capturing taxonomic shifts, functional potential, and ARG enrichment, this approach provides valuable insights into microbiome trajectories linked with disease severity, informing mechanistic research and potential clinical interventions. Impact statementChronic liver disease is a major global health burden, responsible for approximately 2 million deaths each year. Advanced chronic liver disease profoundly disrupts the gut microbiome, often exacerbated by repeated antibiotic exposure, promoting the persistence of antimicrobial-resistant organisms. Leveraging Oxford Nanopore Technologies long-read metagenomic sequencing, this study delivers high-resolution insights into the gut microbiome and resistome across progressive stages of cirrhosis. We reveal Enterococcus faecium dominance as a defining feature of cirrhosis, accompanied by severe loss of commensal diversity and enrichment of clinically significant resistance genes. These findings underscore the clinical utility of culture-independent metagenomic profiling for detecting pathogenic taxa and resistance determinants within the gut ecosystem of high-risk patients. Our work highlights the translational potential of long-read metagenomics as an accessible tool for pathogen surveillance, antimicrobial stewardship, and precision infection management in advanced liver disease.

microbiology↗

Enhanced Computational and Experimental Approaches for Comparative Analysis of the Human Mycobiome

The mycobiome is now recognized as a critical part of the human microbial ecosystem, playing a significant role in both health and disease. Mycobiome research is currently in its infancy and relies on fungal-specific primers with challenges in bioinformatics to accurately determine the structure of the mycobiota community. In addition, the majority of computational and experimental methods currently in use have been optimized for bacteria rather than for fungi. Here, we provide a comparative analysis of extraction methodologies for metagenome sequencing and subsequent bioinformatic analysis that will enhance fungal species identification. We utilized cultured mock fungal communities, including both yeast and mold species, to evaluate the efficiency of extraction protocols. We further enhanced computational analysis of the mycobiome, using mock and human metagenome data together with our curated catalogue consisting of 984 fungal genomes specific to the human mycobiome. Application of this optimised workflow for oral and gut samples of healthy individuals detected of novel species from Puccinia and Lentinus genera among the established presence of Malassezia, Rhizophagus, Candida and Saccharomyces genera. In addition, Enterocytozoon, was identified specifically in the gut mycobiome. Our pipeline enabled the comprehensive sampling of all fungal genes in a microbial community within a human sample minimising bias, reducing errors and artefacts from amplification, and providing accurate diversity and abundance data for the human mycobiome.

genomics↗

Pathogenic entero- and salivatypes harbour changes in microbiome virulence and antimicrobial resistance genes with increasing chronic liver disease severity

Background & AimsLife-threatening complications of cirrhosis are triggered by bacterial infections, with the ever-increasing threat of antimicrobial resistance (AMR). Alterations in the gut microbiome in decompensated cirrhosis (DC) and acute-on-chronic liver failure (ACLF) are recognised to influence clinical outcomes, whilst the role of the oral microbiome is still being explored. Our aims were to simultaneously interrogate the gut and oral micro- and mycobiome in cirrhotic patients, and assess microbial community structure overlap in relation to clinical outcomes, as well as alterations in virulence factors and AMR genes. Methods18 healthy controls (HC), 20 stable cirrhotics (SC), 50 DC, 18 ACLF and 15 with non-liver sepsis (NLS) i.e. severe infection but without cirrhosis, were recruited at a tertiary liver centre. Shotgun metagenomic sequencing was undertaken from saliva (S) and faecal (F) samples (paired where possible). Salivatypes and enterotypes based on clustering of genera were calculated and compared in relation to cirrhosis severity and in relation to specific clinical parameters. Virulence and antimicrobial resistance genes (ARGs) were evaluated in both oral and gut niches, and distinct resistotypes identified. ResultsSpecific saliva- and enterotypes revealed a greater proportion of pathobionts with concomitant reduction in autochthonous genera with increasing cirrhosis severity, and in those with hyperammonemia. Overlap between oral and gut microbiome communities was observed and was significantly higher in DC and ACLF vs SC and HCs, independent of antimicrobial, beta-blocker and acid suppressant use. Two distinct gut microbiome clusters [ENT2/ENT3] harboured genes encoding for the phosphoenolpyruvate:sugar phosphotransferase system (PTS) system and other virulence factors in patients with DC and ACLF. Substantial numbers of ARGs (oral: 1,218 and gut: 672) were detected with 575 ARGs common to both sites. The cirrhosis resistome was significantly different to HCs, with three and four resistotypes identified for the oral and gut microbiome, respectively. DiscussionOral and gut microbiome profiles differ significantly with increasing severity of cirrhosis, with progressive dominance of pathobionts and loss of commensals. DC and ACLF have significantly worse microbial diversity than NLS, despite similar antimicrobial exposure, supporting the additive patho-biological effect of cirrhosis. The degree of microbial community overlap between sites, frequency of virulence factors and presence of ARGs, all increment significantly with hepatic decompensation. These alterations may predispose to higher infection risk, poorer response to antimicrobial therapy and worsening outcomes, and provide the rationale for developing non-antibiotic-dependent microbiome-modulating therapies.

physiology↗