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Rivera, I.

Publications and source records attributed to Rivera, I..

7 recordsLinked to original sources

Cross-Serogroup Analysis of Representative Top-Seven Shiga toxin-producing Escherichia coli Plasmids Reveals Lineage-Specific Patterns

Plasmids play a significant role in shaping the pathogenic potential of Shiga toxin-producing Escherichia coli (STEC) by encoding virulence and adaptive genes that complement chromosomal determinants. While plasmid-encoded factors such as ehxA, espP, katP, and toxB are known to enhance intestinal colonization and host interaction, the diversity and evolutionary patterns of STEC plasmids remain insufficiently characterized. Most previous studies have focused on single serogroups, particularly O157, leaving cross-serogroup comparisons largely unexplored. To address this gap, we conducted an in-depth investigation of 109 complete plasmid sequences (1.5-187 kb) from the "Top Seven" STEC serogroups (O26, O45, O103, O111, O121, O145, and O157), retrieved from NCBI, to examine their structural organization, virulence composition, resistance patterns, mobility potential, and evolutionary dynamics. Our analysis revealed the dominance of F-type plasmids carrying IncFIB and IncFII replicons across serogroups, along with lineage-specific associations with major virulence genes. By examining the enterohemolysin operon across ehxA-positive plasmids, we identified a highly conserved structural framework maintained across 92.5% of analyzed sequences, with minimal variation. We further characterized antimicrobial resistance gene distribution, finding that only 11% of plasmids (12/109) carried such genes, of which 92% were multidrug-resistant. Analysis of mobility features revealed that predicted conjugative potential and MOBF-type relaxases varied considerably among serogroups. The 32 plasmids without virulence or resistance cargo carried at most colicin determinants, yet all received a predicted mobility class, with conjugative machinery confined to plasmids above 37 kb. At the plasmid level, serogroups O26/O103 are closely related and carry relatively high-risk virulence profiles, while the O121/O145 group exhibits moderate virulence gene inventories. The O45/O111 group is further distinguished by its transfer features, while O157 strains form a distinct clade with the broadest array of plasmid-encoded high-risk virulence genes.

microbiology↗

Pathogenome and Plasmid-Borne Antimicrobial Resistance Phenotypes in a Multidrug-Resistant O111:H8 Shiga Toxin-Producing Escherichia coli Strain

Plasmids contribute to virulence and antimicrobial resistance in Shiga toxin-producing Escherichia coli (STEC). Here, the mobility, gene content, and evolutionary context of four plasmids carried by an O111:H8 STEC strain designated UTAK-22: pUTAK-22.1-MDR, pUTAK-22.2-MDR, pUTAK-22.3-P1, and pUTAK-22.4-pO111 were characterized. Conjugation experiments, phenotype-based selective readouts, and comparative genomics together showed that pUTAK-22.1-MDR is self-transmissible, whereas pUTAK-22.2-MDR and pUTAK-22.4-pO111 are most consistent with mobilization in trans, making use of the strain's native helper plasmid background, while pUTAK-22.3-P1 represents a conjugation-deficient IncY phage-derived replicon. Genome annotation and comparative analyses further highlighted the structural diversity and mosaic composition of these plasmids, including P1-like phage remnants, virulence loci, and distinct antimicrobial resistance modules. Phenotypic profiling of the native wild-type plasmid complement and selected transconjugants in the recipient E. coli strain WG5 further showed that the presence of co-resident plasmids and redundant resistance determinants results in dosage-dependent streptomycin tolerance. Together, these findings expand our understanding of the mobility landscape, evolutionary dynamics, and resistance potential of STEC plasmids, while underscoring the importance of interpreting resistance phenotypes in the context of a strain's natural plasmid composition.

microbiology↗

Biomimetic model for the identification of distinctive microenvironmental factors in glioblastoma radiosensitivity

Radiation therapy (RT) has long been included in the treatment of glioblastoma (GBM). However, radioresistance in cancer cells as well as toxicity in normal tissues are major obstacles to clinical efficacy. Improved understanding of the mechanisms of tumor microenvironment-induced radioresistance during and after radiation therapy can provide fundamental insights to improve clinical outcomes in GBM. Here, using three-dimensional engineered hydrogel models in vitro, we report the influence of extracellular matrix, hypoxia, and adjacent neuronal cells in radiotherapeutic sensitivity. We find that mechanical cues and oxygen availability regulate cellular response to radiation, with softer matrices allowing for more DNA damage. Hyaluronan fragments from the extracellular matrix also modulate rapid metabolic response to radiation, especially in hypoxic environments. We show that neuronal networks influence tumor metabolic activity and the inflammatory response. Overall, we demonstrate here that alternative radiation strategies, such as low dose rate radiation therapy and microenvironmental regulation, have the potential to be more effective in a specific subset of radiosensitive GBM tumors.

bioengineering↗

Metagenomes and Metagenome-Assembled Genomes from Tidal Lagoons at a New York City Waterfront Park

We report the sequencing and analysis of 15 shotgun metagenomes, including the reconstruction of 129 high-quality metagenome-assembled genomes, from tidal lagoons and bay water at Bush Terminal Piers Park in Brooklyn, NY sampled from July to September 2024.. Our metagenomic database for this site provides an important baseline for ongoing studies of the microbial communities of public parks and waterfront areas. In particular, we provide rich functional and taxonomic annotations that enable the use of these metagenomes and metagenome-assembled genomes for a wide variety of downstream applications.

microbiology↗

Phylogenomic framework and virulence gene boundaries of emerging Shiga toxin producing Escherichia coli O118 informed by the comprehensive profiling of 359 O118 genomes

Non-O157 Shiga toxin-producing Escherichia coli (STEC), particularly the O118 serogroup, are emerging pathogens linked to severe foodborne illnesses, including hemolytic uremic syndrome. The hallmark of STEC virulence is the production of a potent phage-borne cytotoxin, often accompanied by the locus of enterocyte effacement (LEE). This study explores the genomic landscape, virulence factors, and resistance traits of O118 STEC. We analyzed 357 publicly available O118 genomes across ten H-antigens and included two clinically significant O118:H16 STEC strains sequenced to closure. Pangenome assessment and core genome multilocus sequence typing (MLST) based on 4,160 shared genes revealed phylogenetic clustering by H-type and delineated distinct STEC-phylogroups, alongside relationships to non-STEC pathovars such as uropathogenic E. coli (UPEC), enteropathogenic E. coli (EPEC), and enterotoxigenic E. coli (ETEC). Identified STEC phylogroups encompassed H6, H12, H16, and H2 strains with diverse Shiga toxin (stx) profiles (stx1a, stx2a, stx2b, stx2c, stx2f). A subset of H2-STEC lacked stx, suggesting potential secondary phage loss. Most STEC groups harbored the locus of enterocyte effacement (LEE). Further, a strong correlation was observed between H-antigens and eae subtypes, with specific pairings such as H6/eae-{iota}, H16/eae-{beta}, and H2/eae-{varepsilon}. Horizontally acquired pathogenicity islands--including O-island 122 in H16 strains and a novel pathogenicity-associated island carrying antibiotic resistance--along with other loci related to colonization and interbacterial competition, further enhance these strains virulence potential. Our findings underscore the genetic diversity and virulence potential of O118 STEC. Understanding phylogroup-specific traits and resistance markers is crucial for effective surveillance and public health interventions. ImportanceShiga toxin-producing Escherichia coli (STEC) are a major public health concern, responsible for illnesses ranging from diarrhea to life-threatening kidney damage. Among non-O157 STEC, serogroup O118 is increasingly recognized as an emerging STEC lineage. This study provides the most comprehensive genomic analysis to date of O118 STEC, offering critical insights into their pathogenome, virulence traits, and antimicrobial resistance inventories. Notably, we identified a novel 74 kb pathogenicity island in clinical strain H16-12089 that encodes a combination of multidrug resistance genes, virulence factors, and interbacterial competition systems. Understanding the genetic makeup and virulence potential of these pathogens is essential for improving surveillance, risk assessment, and public health interventions.

genomics↗

Protective Effects of STI-2020 Antibody Delivered Post-Infection by the Intranasal or Intravenous Route in a Syrian Golden Hamster COVID-19 Model

We have previously reported that the SARS-CoV-2 neutralizing antibody, STI-2020, potently inhibits cytopathic effects of infection by genetically diverse clinical SARS-CoV-2 pandemic isolates in vitro, and has demonstrated efficacy in a hamster model of COVID-19 when administered by the intravenous route immediately following infection. We now have extended our in vivo studies of STI-2020 to include disease treatment efficacy, profiling of biodistribution of STI-2020 in mice when antibody is delivered intranasally (IN) or intravenously (IV), as well as pharmacokinetics in mice following IN antibody administration. Importantly, SARS-CoV-2-infected hamsters were treated with STI-2020 using these routes, and treatment effects on severity and duration of COVID-19-like disease in this model were evaluated. In SARS-CoV-2 infected hamsters, treatment with STI-2020 12 hours post-infection using the IN route led to a decrease in severity of clinical disease signs and a more robust recovery during 9 days of infection as compared to animals treated with an isotype control antibody. Treatment via the IV route using the same dose and timing regimen resulted in a decrease in the average number of consecutive days that infected animals experienced weight loss, shortening the duration of disease and allowing recovery to begin more rapidly in STI-2020 treated animals. Following IN administration in mice, STI-2020 was detected within 10 minutes in both lung tissue and lung lavage. The half-life of STI-2020 in lung tissue is approximately 25 hours. We are currently investigating the minimum effective dose of IN-delivered STI-2020 in the hamster model as well as establishing the relative benefit of delivering neutralizing antibodies by both IV and IN routes.

microbiology↗

Integrated RNA and metabolite profiling of urine liquid biopsies for prostate cancer biomarker discovery

Sensitive and specific diagnostic and prognostic biomarkers for prostate cancer (PCa) are urgently needed. Urine samples are a non-invasive means to obtain abundant and readily accessible \"liquid biopsies\". Herein we used urine liquid biopsies to identify and characterize a novel group of urine-enriched RNAs and metabolites in PCa patients and normal individuals with or without benign prostatic disease. Differentially expressed RNAs were identified in urine samples by deep sequencing and metabolites in urine were measured by mass spectrometry. The mRNA and metabolite profiles were distinct in patients with benign and malignant disease. Integrated analysis of urinary gene expression and metabolite signatures unveiled an aberrant glutamate metabolism and tricarboxylic acid (TCA) cycle node in prostate cancer-derived cells. Functional validation supports a role for glutamate metabolism and glutamate oxaloacetate transaminase 1 (GOT1)-dependent redox balance in prostate cancer, which can be exploited for novel biomarkers and therapies.

cancer biology↗