Biology subjects

Brock, B.

Publications and source records attributed to Brock, B..

3 recordsLinked to original sources

bioRxiv2025

Biological Drivers of Early Childhood Caries in Preschool Children of Northern Arizona and Hawaii

Early childhood caries (ECC) is the most prevalent chronic childhood disease, disproportionately affecting children from specific racial/ethnic groups. While ECC is a multifactorial disease influenced by demographic, behavioral, and environmental factors, it is also widely associated with the presence of Streptococcus mutans in the oral microbiome. To better understand the interplay between demographic and microbial factors and ECC risk, we collected saliva samples from 408 preschool children aged 1-6 years, including 266 from northern Arizona and 142 from Hawaii, representing racially and geographically diverse populations. Logistic regression showed that the odds of developing ECC increased 80.09% with each year of age, and that compared to White children, the odds were significantly higher for Native Hawaiian/Pacific Islander (330.94%), Native American (282.35%), and Hispanic (245.22%) children. Oral S. mutans colonization increased odds by 360.49%. The S. mutans-positive samples were genotyped using a multiplexed targeted amplicon sequencing assay. Phylogenetic analysis showed high genetic diversity in S. mutans between and within populations, with no geographic clustering. Some S. mutans clades were associated with up to a 33-fold increase in ECC odds. Only Native Hawaiian/Pacific Islander children were more likely to carry S. mutans strains from higher-risk clades. Markers associated with high risk S. mutans strains were identified in genes involved in carbohydrate metabolism, pH regulation, and biofilm formation. This study underscores the multifaceted nature of ECC, linking demographic disparities with strain-specific features of S. mutans and identifies new genetic markers that may play a role in S. mutans virulence.

microbiology↗

bioRxiv2023

Lyssa excreta: Defining parameters for fecal samples as a rabies virus surveillance method

It is not possible to systematically screen the environment for rabies virus (RABV) using current approaches. We sought to determine under what conditions RABV is detectable from feces and other accessible samples from infected wildlife to broaden the number of biological samples that could be used to test for RABV. We employed a recently-developed quantitative RT-PCR assay called the "LN34 panlyssavirus real-time RT-PCR assay", which is highly sensitive and specific for all variants of RABV. We harvested and tested brain tissue, fecal, and/or mouth swab samples from 25 confirmed RABV positive bats of six species. To determine if rabies RNA lasts in feces sufficiently long post-defecation to use it as a surveillance tool, we tested fecal samples from 10 bats at the time of sample collection and after 24 hours of exposure to ambient conditions, with an additional test on six bats out to 72 hours. To assess whether we could pool fecal pellets and still detect a positive, we generated dilutions of known positives at 1:1, 1:10, 1:50, and 1:200. For six individuals for which matched brain, mouth swab, and fecal samples were tested, results were positive for 100%, 67%, and 67%, respectively. For the first time test to 24 hours, 63% of feces that were positive at time 0 were still positive after 24 hours, and 50% of samples at 72 hours were positive across all three replicates. Pooling tests revealed that fecal positives were detected at 1:10 dilution, but not at 1:50 or 1:200. Our preliminary results suggest that fecal samples hold promise for a rapid and non-invasive environmental screening system.

pathology↗

bioRxiv2020

Phylogenetic Analysis of St. Louis Encephalitis Virus within Two Southwestern United State Counties: a case for a bulk introduction event into the southwest United States

St. Louis Encephalitis Virus (SLEV) has been seasonally detected within the Culex spp. populations within Maricopa County, Arizona and Coachella Valley, California since an outbreak in Maricopa County in 2015. Previous work revealed that the outbreak was caused by an importation of SLEV genotype III, which had only been detected within Argentina in prior years. However, little is known about when the importation occurred or the population dynamics since its arrival into the southwestern United States. In this study, we wanted to determine if the annual detection of SLEV in Maricopa and Riverside counties is due to enzootic cycling or new importations. To address this question, we analyzed 143 SLEV genomes (138 sequenced as part of this study) using the Bayesian phylogenetic analysis software, BEAST, to estimate the date of arrival into the American Southwest and characterize the underlying population structure of SLEV. Phylogenetic clustering showed that SLEV variants circulating in Arizona and California form two distinct populations with little evidence of transmission among the two populations since the onset of the outbreak. Interestingly, the SLEV variants in Coachella Valley appear to be annually imported from a nearby source, whereas the Arizona population is locally sourced each year. Finally, the earliest representatives of SLEV genotype III in the southwestern US formed a polytomy that includes both California and Arizona samples. We propose that the initial outbreak could have resulted from an introductory population of SLEV, perhaps in one or more bird flocks migrating north in 2013, rather than a single variant introduced by one bird.

bioinformatics↗