Biology subjects

Barry, P. A.

Publications and source records attributed to Barry, P. A..

3 recordsLinked to original sources

bioRxiv2020

In vitro and in vivo characterization of a recombinant rhesus cytomegalovirus containing a complete genome

Cytomegaloviruses (CMVs) are highly adapted to their host species resulting in strict species specificity. Hence, in vivo examination of all aspects of CMV biology employs animal models using host-specific CMVs. Infection of rhesus macaques (RM) with rhesus CMV (RhCMV) has been established as a representative model for infection of humans with HCMV due to the close evolutionary relationships of both host and virus. However, the commonly used 68-1 strain of RhCMV has been passaged in fibroblasts for decades resulting in multiple genomic changes due to tissue culture adaptation that cause reduced viremia in RhCMV-naive animals and limited shedding compared to low passage isolates. Using sequence information from primary RhCMV isolates we constructed a full-length (FL) RhCMV by repairing all presumed mutations in the 68-1 bacterial artificial chromosome (BAC). Inoculation of adult, immunocompetent, RhCMV-naive RM with the reconstituted virus resulted in significant replication in the blood similar to primary isolates of RhCMV and furthermore led to extensive viremia in many tissues at day 14 post infection. In contrast, viral dissemination and viremia was greatly reduced upon deletion of genes also lacking in 68-1. Transcriptome analysis of infected tissues further revealed that chemokine-like genes deleted in 68-1 are among the most highly expressed viral transcripts both in vitro and in vivo consistent with an important immunomodulatory function of the respective proteins. We conclude that FL-RhCMV displays in vitro and in vivo characteristics of a wildtype virus while being amenable to genetic modifications through BAC recombineering techniques. Author SummaryHuman cytomegalovirus (HCMV) infections are generally asymptomatic in healthy immunocompetent individuals, but HCMV can cause serious disease after congenital infection and in individuals with immunocompromised immune systems. Since HCMV is highly species specific and cannot productively infect immunocompetent laboratory animals, experimental infection of rhesus macaques (RM) with rhesus CMV (RhCMV) has been established as a closely related animal model for HCMV. By employing the unique ability of CMV to elicit robust and lasting cellular immunity, this model has also been instrumental in developing novel CMV-based vaccines against chronic and recurring infections with pathogens such as the human immunodeficiency virus (HIV) and Mycobacterium tuberculosis (Mtb). However, most of this work was conducted with derivatives of the 68-1 strain of RhCMV which has acquired multiple genomic alterations in tissue culture. To model pathogenesis and immunology of clinical HCMV isolates we generated a full-length (FL) RhCMV clone representative of low passage isolates. Infection of RhCMV-naive RM with FL-RhCMV demonstrated viremia and tissue dissemination that was comparable to that of non-clonal low passage isolates. We further demonstrate that FL-RhCMV is strongly attenuated upon deletion of gene regions absent in 68-1 thus demonstrating the usefulness of FL-RhCMV to study RhCMV pathogenesis.

microbiology↗

bioRxiv2020

Bridging the gap: Using reservoir ecology and human serosurveys to estimate Lassa virus incidence in West Africa

Forecasting the risk of pathogen spillover from reservoir populations of wild or domestic animals is essential for the effective deployment of interventions such as wildlife vaccination or culling. Due to the sporadic nature of spillover events and limited availability of data, developing and validating robust, spatially explicit, predictions is challenging. Recent efforts have begun to make progress in this direction by capitalizing on machine learning methodologies. An important weakness of existing approaches, however, is that they generally rely on combining human and reservoir infection data during the training process and thus conflate risk attributable to the prevalence of the pathogen in the reservoir population with the risk attributed to the realized rate of spillover into the human population. Because effective planning of interventions requires that these components of risk be disentangled, we developed a multi-layer machine learning framework that separates these processes. Our approach begins by training models to predict the geographic range of the primary reservoir and the subset of this range in which the pathogen occurs. The spillover risk predicted by the product of these reservoir specific models is then fit to data on realized patterns of historical spillover into the human population. The result is a geographically specific spillover risk forecast that can be easily decomposed and used to guide effective intervention. Applying our method to Lassa virus, a zoonotic pathogen that regularly spills over into the human population across West Africa, results in a model that explains a modest but statistically significant portion of geographic variation in historical patterns of spillover. When combined with a mechanistic mathematical model of infection dynamics, our spillover risk model predicts that 897,700 humans are infected by Lassa virus each year across West Africa, with Nigeria accounting for more than half of these human infections. Author SummaryThe 2019 emergence of SARS-CoV-2 is a grim reminder of the threat animal-borne pathogens pose to human health. Even prior to SARS-CoV-2, the spillover of pathogens from animal reservoirs was a persistent problem, with pathogens such as Ebola, Nipah, and Lassa regularly but unpredictably causing outbreaks. Machine-learning models that anticipate when and where pathogen transmission from animals to humans is likely to occur would help guide surveillance efforts and preemptive countermeasures like information campaigns or vaccination programs. We develop a novel machine learning framework that uses datasets describing the distribution of a virus within its host and the range of its animal host, along with data on spatial patterns of human immunity, to infer rates of animal-to-human transmission across a region. By training the model on data from the animal host alone, our framework allows rigorous validation of spillover predictions using human data. We apply our framework to Lassa fever, a viral disease of West Africa that is spread to humans by rodents, and use the predictions to update estimates of Lassa virus infections in humans. Our results suggest that Nigeria is most at risk for the emergence of Lassa virus, and should be prioritized for outbreak-surveillance.

ecology↗

bioRxiv2019

Impact of preexisting virus-specific maternal antibodies on cytomegalovirus population genetics in a monkey model of congenital transmission

Human cytomegalovirus (HCMV) infection is the leading non-genetic cause of congenital birth defects worldwide. While several studies have investigated the genetic composition of viral populations in newborns diagnosed with HCMV, little is known regarding mother-to-child viral transmission dynamics and how therapeutic interventions may impact within-host viral populations. Here, we investigate how preexisting CMV-specific antibodies shape the maternal viral population and intrauterine virus transmission. Specifically, we characterize the genetic composition of CMV populations in a monkey model of congenital CMV infection to examine the effects of passively-infused hyperimmune globulin (HIG) on viral population genetics in both maternal and fetal compartments. In this study, 11 seronegative, pregnant monkeys were challenged with rhesus CMV (RhCMV), including a group pretreated with a standard potency HIG preparation (n = 3), a group pretreated with a high-neutralizing potency HIG preparation (n = 3), and an untreated control group (n = 5). Targeted amplicon deep sequencing of RhCMV glycoprotein B and L genes revealed that one of the three strains present in the viral inoculum (UCD52) dominated maternal and fetal viral populations. We identified de novo minor haplotypes of this strain and characterized their dynamics. Many of the identified haplotypes were consistently detected at multiple timepoints within sampled maternal tissues, as well as across tissue compartments, indicating haplotype persistence over time and transmission between maternal compartments. However, haplotype numbers and diversity levels were not appreciably different across HIG pretreatment groups. We found that while the presence of maternal antibodies reduced viral load and congenital infection, it has no apparent impact in the intrahost viral genetic diversity at the investigated loci. Interestingly, some haplotypes present in fetal and maternal-fetal interface tissues were also identified in maternal samples of corresponding dams, providing evidence for a wide RhCMV mother-to-fetus transmission bottleneck even in the presence of preexisting antibodies.\n\nAuthor summaryHuman cytomegalovirus (CMV) is the most common infectious cause of birth defects worldwide. Knowledge gaps remain regarding how maternal immunity impacts the genetic composition of CMV populations and the incidence of congenital virus transmission. Addressing these gaps is important to inform vaccine development efforts. Using viral samples collected from a monkey model of congenital CMV infection, we investigated the impact of passively-administered maternal antibodies on the genetic composition of the maternal virus population and that transmitted to the fetus. Our analysis focused on two CMV genes that encode glycoproteins that facilitate viral cellular entry and are known epitope targets of the humoral immune response. By identifying and analyzing variants across sampled maternal tissues, we found no impact in CMV genetic diversity by preexisting CMV-specific antibodies, despite the observation that such antibodies reduce viral load and confer some protection against congenital transmission. We further found that some minor variants identified in fetal and maternal-fetal interface tissues were also present in corresponding maternal tissues, indicating that a large number of viral particles passed from dam to fetus in observed cases of congenital transmission.

microbiology↗