Biology subjects

Shields-Cutler, R.

Publications and source records attributed to Shields-Cutler, R..

3 recordsLinked to original sources

bioRxiv2025

Pre-treatment Microbiome Diversity and Function is associated with Expansion of Cytotoxic and Regulatory Immune Populations after N-803 treatment in People with HIV

BackgroundN-803, an IL-15 superagonist, is currently being studied in clinical trials as a treatment to reverse HIV latency. However, its effects on the gut microbiome are not well understood. MethodsIn this longitudinal metagenomic study, we analyzed fecal microbiomes from ART-suppressed people with HIV at four different timepoints before, during, and after N-803 treatment. ResultsOverall taxonomic and functional diversity did not change significantly, yet beneficial microbial taxa and pathways were enriched after N-803. Specifically, the relative abundance of Faecalibacterium prausnitzii increased significantly after N-803, whereas histidine degradation pathways, often associated with pro-inflammatory mucosal state, decreased. A higher baseline microbial diversity correlated with stronger CD8+ and natural killer (NK) cells activation and reduced frequency of rectal HIV RNA+ cells. MaAsLin2 analyses further associated short-chain fatty acid (SCFA)-producing taxa and pathways with increased immune activation markers. ConclusionsThese results indicate that gut microbiome diversity prior to immunotherapy influences host response and suggest that microbiome-based strategies could improve efforts to cure HIV.

microbiology↗

bioRxiv2025

Gut barrier integrity biomarkers are associated with increased inflammation and predict disease status in hospitalized COVID-19 patients

The COVID-19 global pandemic persists as an endemic disease with frequent case spikes and a significant continued burden on public health. Although most COVID-19 cases are asymptomatic or mild, severe infections requiring hospitalization have resulted in likely more than 14 million cumulative deaths to date. One hallmark of severe COVID-19 is a dysregulated immune response that leads to systemic inflammation and contributes to disease severity and mortality but is not explained by viral replication alone. Severe COVID-19 has been shown to disrupt the gut microbiome and increase intestinal permeability which may contribute to immune dysregulation and systemic inflammation. In this study, we investigated the differences in plasma biomarkers for microbial translocation and gut barrier damage as well as circulating cytokines between healthy volunteers and patients hospitalized with COVID-19. We then performed a correlation analysis to understand how the relationships between these plasma biomarkers differed and used a random forest model to assess their accuracy in distinguishing between these two groups. Our results demonstrated that hospitalized COVID-19 patients have elevated concentrations of pro-inflammatory cytokines and markers of microbial translocation, and that the relationships between these biomarkers were significantly altered compared to healthy volunteers, especially those related to the mucosal associated homeostatic cytokines IL-17A and IL-23. Furthermore, IL-6 and LBP were the top biomarkers for prediction accuracy in our random forest model, highlighting the importance of managing microbial translocation in COVID-19 and its potential utility as a biomarker for disease severity. IMPORTANCECOVID-19 continues to be a burden on public health. Understanding how plasma biomarkers differ between healthy and acutely infected individuals can help in understanding pathogenesis and predict disease severity. It has been demonstrated that COVID-19 disrupts the gut microbiome and intestinal permeability, which contributes to systemic inflammation. Our study highlights the link between gut barrier integrity and inflammation in hospitalized SARS-CoV-2 cases, demonstrating the usefulness of gut barrier integrity biomarkers in predicting disease severity, and offers insights for therapeutic interventions in acute COVID-19 infection.

immunology↗

bioRxiv2018

Evaluating the information content of shallow shotgun metagenomics

Although microbial communities are associated with many aspects of human, environmental, plant, and animal health, there exists no cost-effective method for precisely characterizing species and genes present in such communities. While deep whole-genome shotgun (WGS) sequencing provides the highest-level of taxonomic and functional resolution, it is often prohibitively expensive for large-scale studies. The prevailing alternative, high-throughput 16S rRNA gene amplicon sequencing (16S), often does not resolve taxonomy past the genus level and provides only moderately accurate predictions of the functional profile; thus, there is currently no widely accepted approach to affordable, high-resolution, taxonomic and functional microbiome analysis. To address this technology gap, we evaluated the information content of shallow shotgun sequencing with as low as 0.5 million sequences per sample as an alternative to 16S sequencing for large human microbiome studies. We describe a library preparation protocol enabling shallow shotgun sequencing at approximately the same per-sample cost as 16S. We analyzed multiple real and simulated biological data sets, including two novel human stool samples with ultra-deep sequencing of 2.5 billion sequences per sample, and found that shallow shotgun recovers accurate species-level taxonomic and functional profiles of the human microbiome. We recognize and discuss some of the inherent limitations of shallow shotgun sequencing, and note that 16S sequencing remains a valuable and important method for taxonomic profiling of novel environments. Although deep WGS remains the gold standard for high-resolution microbiome analysis, we recommend that researchers consider shallow shotgun sequencing as a useful alternative to 16S for large-scale human microbiome research studies.

genomics↗