Quantitative considerations to gather maximum information from viral growth efficiency studies: the example of polyomavirus type BK (BKV).

This short communication shows how the application of simple mathematical formulae allows researchers to extract maximum information from viral growth efficiency studies at virtually no additional costs (in terms of time or money), thus improving the comparability of results (growth rates, replicative capacities, efficacies of antivirals) between in vitro and in vivo growth efficiency studies. This could help in elucidating kinetic links between the molecular basis of virus function and clinical findings.

Polyomavirus BK with rearranged noncoding control region emerge in vivo in renal transplant patients and increase viral replication and cytopathology.

Immunosuppression is required for BK viremia and polyomavirus BK-associated nephropathy (PVAN) in kidney transplants (KTs), but the role of viral determinants is unclear. We examined BKV noncoding control regions (NCCR), which coordinate viral gene expression and replication. In 286 day-matched plasma and urine samples from 129 KT patients with BKV viremia, including 70 with PVAN, the majority of viruses contained archetypal (ww-) NCCRs.

Cytomegalovirus and polyomavirus BK posttransplant.

Virus replication and progression to disease in transplant patients is determined by patient-, graft- and virus-specific factors. This complex interaction is modulated by the net state of immunosuppression and its impact on virus-specific cellular immunity. Due to the increasing potency of immunosuppressive regimens, graft rejections have decreased, but susceptibility to infections has increased.

Viral dynamics in transplant patients: implications for disease.

Viral infections cause substantial morbidity and mortality in transplant patients. Quantifying viral loads is widely appreciated as a direct means to diagnose and monitor the course of viral infections. Recent studies indicate that the kinetics of viral load changes rather than single viral load measurements better correlate with organ involvement.

HIV replication elicits little cytopathic effects in vivo: analysis of surrogate markers for virus production, cytotoxic T cell response and infected cell death.

Several potential mechanisms for viral destruction of HIV-infected cells have been described. The hypothesis was examined that if HIV were cytopathic, a positive relation between the in vivo virus production or CTL activity and infected cell death should be observed. In a regression analysis no significant relation was found between surrogate markers for in vivo virus production or the virus-specific CTL response and death rates of productively infected cells.

Rapid dynamics of polyomavirus type BK in renal transplant recipients.

Background: Polyomavirus type BK-associated nephropathy (PVAN) is an emerging cause of early renal transplant failure. No specific antiviral treatment has been established. Current interventions rely on improving immune functions by reducing immunosuppression.

Contrasting B cell- and T cell-based protective vaccines.

A substantial research effort is devoted to the development of vaccines based on T cells. Such a vaccine would provide a means to protect against infection with HIV and stop the current pandemic. Here we investigate the possibility to develop a protective T cell-based vaccine.

Spatial models of virus-immune dynamics.

To date, the majority of theoretical models describing the dynamics of infectious diseases in vivo are based on the assumption of well-mixed virus and cell populations. Because many infections take place in solid tissues, spatially structured models represent an important step forward in understanding what happens when the assumption of well-mixed populations is relaxed. Here, we explore models of virus and virus-immune dynamics where dispersal of virus and immune effector cells was constrained to occur locally.

Glancing behind virus load variation in HIV-1 infection.

Although the steady-state virus load during HIV-1 infection is remarkably stable within a patient, it displays variation over several orders of magnitude between patients. Despite intensive research, the host and virus factors that are responsible for the observed variation remain poorly understood. Comparison of model predictions with clinical data suggests that most of the variation in steady-state virus load between patients reflects variation of the net rate at which activated CD4 cells are produced.