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Perry, D. L.

Publications and source records attributed to Perry, D. L..

2 recordsLinked to original sources

Clinical Characterization of Host Response to Simian Hemorrhagic Fever Virus Infection in Permissive and Refractory Hosts: A Model for Determining Mechanisms of VHF Pathogenesis

Simian hemorrhagic fever virus (SHFV) causes a fulminant and typically lethal viral hemorrhagic fever (VHF) in macaques (Cercopithecinae: Macaca spp.) but causes subclinical infections in patas monkeys (Cercopithecinae: Erythrocebus patas). This difference in disease course offers a unique opportunity to compare host-responses to infection by a VHF-causing virus in biologically similar susceptible and refractory animals. Patas and rhesus monkeys were inoculated side-by-side with SHFV. In contrast to the severe disease observed in rhesus monkeys, patas monkeys developed a limited clinical disease characterized by changes in complete blood counts, serum chemistries, and development of lymphadenopathy. Viremia was measurable 2 days after exposure and its duration varied by species. Infectious virus was detected in terminal tissues of both patas and rhesus monkeys. Varying degrees of overlap in changes in serum concentrations of IFN-{gamma}, MCP-1, and IL-6 were observed between patas and rhesus monkeys, suggesting the presence of common and species-specific cytokine responses to infection. Similarly, quantitative immunohistochemistry of terminal livers and whole blood flow cytometry revealed varying degrees of overlap in changes in macrophages, natural killer cells, and T-cells. The unexpected degree of overlap in host-response suggests that relatively small subsets of a hosts response to infection may be responsible for driving pathogenesis that results in a hemorrhagic fever. Furthermore, comparative SHFV infection in patas and rhesus monkeys offers an experimental model to characterize host-response mechanisms associated with viral hemorrhagic fever and evaluate pan-viral hemorrhagic fever countermeasures.\n\nIMPORTANCEHost-response mechanisms involved in pathogenesis of VHFs remain poorly understood. An underlying challenge is separating beneficial, inconsequential, and detrimental host-responses during infection. The comparison of host-responses to infection with the same virus in biologically similar animals that have drastically different disease manifestations allows for the identification of pathogenic mechanisms. SHFV, a surrogate virus for human VHF-causing viruses likely causes subclinical infection in African monkeys such as patas monkeys but can cause severe disease in Asian macaque monkeys. Data from the accompanying article by Buechler et al. support that infection of macaques and baboons with non-SHFV simarteviruses can establish persistent or long-term subclinical infections. Baboons, macaques, and patas monkeys are relatively closely taxonomically related (Cercopithecidae: Cercopithecinae) and therefore offer a unique opportunity to dissect how host-response differences determine disease outcome in VHFs.

immunology↗

Copy number variants in clinical WGS: deployment and interpretation for rare and undiagnosed disease

PurposeCurrent diagnostic testing for genetic disorders involves serial use of specialized assays spanning multiple technologies. In principle, whole genome sequencing (WGS) has the potential to detect all genomic mutation types on a single platform and workflow. Here we sought to evaluate copy number variant (CNV) calling as part of a clinically accredited WGS test.\n\nMethodsUsing a depth-based copy number caller we performed analytical validation of CNV calling on a reference panel of 17 samples, compared the sensitivity of WGS-based variants to those from a clinical microarray, and set a bound on precision using orthogonal technologies. We developed a protocol for family-based analysis, annotation, filtering, visualization of WGS based CNV calls, and deployed this across a clinical cohort of 79 rare and undiagnosed cases.\n\nResultsWe found that CNV calls from WGS are at least as sensitive as those from microarrays, while only creating a modest increase in the number of variants interpreted (~10 CNVs per case). We identified clinically significant CNVs in 15% of the first 79 cases analyzed. This pipeline also enabled identification of cases of uniparental disomy (UPD) and a 50% mosaic trisomy 14. Directed analysis of some CNVs enabled break-point level resolution of genomic rearrangements and phasing of de-novo CNVs.\n\nConclusionRobust identification of CNVs by WGS is possible within a clinical testing environment, and further developments will bring improvements in resolution of smaller and more complex CNVs.

genomics↗