Publications by authors named "Sawyer Farmer"

The composition of the human vaginal microbiome has been linked to a variety of medical conditions including yeast infection, bacterial vaginosis, and sexually transmitted infection. The vaginal microbiome is becoming increasingly acknowledged as a key factor in personal health, and it is essential to establish methods to collect and process accurate samples with self-collection techniques to allow large, population-based studies. In this study, we investigate if using AssayAssure Genelock, a nucleic acid preservative, introduces microbial biases in self-collected vaginal samples.

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Background: Schools are high-risk settings for SARS-CoV-2 transmission, but necessary for children's educational and social-emotional wellbeing. Previous research suggests that wastewater monitoring can detect SARS-CoV-2 infections in controlled residential settings with high levels of accuracy. However, its effective accuracy, cost, and feasibility in non-residential community settings is unknown.

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Replicability is a well-established challenge in microbiome research with a variety of contributing factors at all stages, from sample collection to code execution. Here, we focus on voided urine sample storage conditions for urogenital microbiome analysis. Using urine samples collected from 10 adult females, we investigated the microbiome preservation efficacy of AssayAssure Genelock (Genelock), compared with no preservative, under different temperature conditions.

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Article Synopsis
  • Effective detection of SARS-CoV-2 variants through wastewater analysis can complement existing clinical testing methods, especially in resource-limited areas where traditional testing may be biased.* -
  • The study implemented improved virus concentration techniques and software to enhance the sequencing of multiple virus strains from wastewater, resulting in high-resolution data over 295 days at a university and its surrounding county.* -
  • Wastewater surveillance identified emerging variants up to 14 days earlier than clinical methods and revealed instances of virus spread that clinical testing missed, highlighting its potential for public health monitoring.*
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Article Synopsis
  • Monitoring SARS-CoV-2 on surfaces can help identify past exposure, especially in places like hospitals and schools, by detecting viral RNA left by infected individuals.
  • A study collected samples from isolation housing units to investigate where SARS-CoV-2 accumulates, finding high viral loads on frequently touched surfaces like light switches but also on untouched ones like floors.
  • The bacterial community in these environments seems to predict the presence of SARS-CoV-2, suggesting a potential link between certain bacterial types and higher viral detection.
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As SARS-CoV-2 continues to spread and evolve, detecting emerging variants early is critical for public health interventions. Inferring lineage prevalence by clinical testing is infeasible at scale, especially in areas with limited resources, participation, or testing/sequencing capacity, which can also introduce biases. SARS-CoV-2 RNA concentration in wastewater successfully tracks regional infection dynamics and provides less biased abundance estimates than clinical testing.

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Article Synopsis
  • - Monitoring the presence of SARS-CoV-2 on surfaces helps to identify past exposures to infected individuals, assisting in tracking the virus’s spread, particularly in areas like hospitals and schools.
  • - Research indicates that the highest viral loads are found on frequently touched surfaces (e.g., light switches, faucets), with detectable levels also present on non-touched surfaces, making sampling strategies important for environments where people are mask-wearing.
  • - The study also linked SARS-CoV-2 levels to the surrounding bacterial community, finding that certain bacterial species can predict the likelihood of samples being positive for the virus, emphasizing the relationship between surface type and viral presence.
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Background: Schools are high-risk settings for SARS-CoV-2 transmission, but necessary for children's educational and social-emotional wellbeing. Previous research suggests that wastewater monitoring can detect SARS-CoV-2 infections in controlled residential settings with high levels of accuracy. However, its effective accuracy, cost, and feasibility in non-residential community settings is unknown.

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Wastewater-based surveillance has gained prominence and come to the forefront as a leading indicator of forecasting COVID-19 (coronavirus disease 2019) infection dynamics owing to its cost-effectiveness and its ability to inform early public health interventions. A university campus could especially benefit from wastewater surveillance, as universities are characterized by largely asymptomatic populations and are potential hot spots for transmission that necessitate frequent diagnostic testing. In this study, we employed a large-scale GIS (geographic information systems)-enabled building-level wastewater monitoring system associated with the on-campus residences of 7,614 individuals.

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We have chosen to test the safety of human intracerebroventricular (ICV) brain injections of autologous non-genetically-modified adipose-derived stromal vascular fraction (ADSVF). In this IRB-approved trial, 24 patients received ICV ADSVF via an implanted reservoir between 5/22/14 and 5/22/17. Seven others were injected via their ventriculo-peritoneal shunts.

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