Hierarchical deep compartment modeling: A workflow to leverage machine learning and Bayesian inference for hierarchical pharmacometric modeling.

Population pharmacokinetic (PK) modeling serves as the cornerstone for understanding drug behavior within a specific population. It integrates subject covariates to elucidate the variability in PK parameters, thus enhancing predictive accuracy. However, covariate modeling within this framework can be intricate and time-consuming due to the often obscure structural relationship between covariates and PK parameters.

Severity of Topiramate-Related Working Memory Impairment Is Modulated by Plasma Concentration and Working Memory Capacity.

Drug side effects that impair cognition can lead to diminished quality of life and discontinuation of therapy. Topiramate is an antiepileptic drug that elicits cognitive deficits more frequently than other antiepileptic drugs, impairing multiple cognitive domains including language, attention, and memory. Although up to 40% of individuals taking topiramate may experience cognitive deficits, we are currently unable to predict which individuals will be most severely affected before administration.

Lamotrigine clearance increases by 5 weeks gestational age: Relationship to estradiol concentrations and gestational age.

Objective: To determine how early lamotrigine clearance (LTG-CL/F) increases during early pregnancy in women with epilepsy and to quantify the relationship of LTG-CL/F to estradiol concentrations and gestational week.

Methods: This was a multicenter, observational study of pregnant women with epilepsy on lamotrigine and no interacting concomitant medications, employing frequent blood sampling prior to and early in pregnancy. A population mixed-effects modeling approach was used to describe the relationship between LTG-CL/F and gestational week and between LTG-CL/F and estradiol.

Lymphoid tissue fibrosis is associated with impaired vaccine responses.

Vaccine responses vary by geographic location. We have previously described how HIV-associated inflammation leads to fibrosis of secondary lymph nodes (LNs) and T cell depletion. We hypothesized that other infections may cause LN inflammation and fibrosis, in a process similar to that seen in HIV infection, which may lead to T cell depletion and affect vaccine responses.

Defining total-body AIDS-virus burden with implications for curative strategies.

In the quest for a functional cure or the eradication of HIV infection, it is necessary to know the sizes of the reservoirs from which infection rebounds after treatment interruption. Thus, we quantified SIV and HIV tissue burdens in tissues of infected nonhuman primates and lymphoid tissue (LT) biopsies from infected humans. Before antiretroviral therapy (ART), LTs contained >98% of the SIV RNA and DNA cells.

Large number of rebounding/founder HIV variants emerge from multifocal infection in lymphatic tissues after treatment interruption.

Antiretroviral therapy (ART) suppresses HIV replication in most individuals but cannot eradicate latently infected cells established before ART was initiated. Thus, infection rebounds when treatment is interrupted by reactivation of virus production from this reservoir. Currently, one or a few latently infected resting memory CD4 T cells are thought be the principal source of recrudescent infection, but this estimate is based on peripheral blood rather than lymphoid tissues (LTs), the principal sites of virus production and persistence before initiating ART.