An Extensively Humanized Mouse Model to Predict Pathways of Drug Disposition and Drug/Drug Interactions, and to Facilitate Design of Clinical Trials

Species differences in drug metabolism and disposition can confound the extrapolation of in vivo pharmacokinetic data to man, and also profoundly compromise drug efficacy studies due to differences in pharmacokinetics, in metabolites produced (which are often pharmacologically active) and in differential activation of the transcription factors CAR and PXR which regulate the expression of enzymes such as P450s and drug transporters. These differences have gained additional importance as a consequence of the use of genetically modified mouse models for drug efficacy testing and also patient-derived xenografts to predict individual patient responses to anti-cancer drugs. A number of humanised mouse models for cytochrome P450s, CAR and PXR have been reported. However, the utility of these models has been compromised as a consequence of the redundancy of P450 reactions across gene families where the remaining murine P450s can metabolise the compounds being tested. To remove this confounding factor and create a mouse model which more closely reflects human pathways of drug disposition we have substituted 33 murine P450s from the major gene families involved in drug disposition, together with Car and Pxr, for human CAR, PXR, CYP1A1, CYP1A2, CYP2C9, CYP2D6, CYP3A4 and CYP3A7. We have also created a mouse line where 34 P450s have been deleted from the mouse genome. We demonstrate using model compounds and anti-cancer drugs how these mouse lines can be applied to predict drug-drug interactions in patients and discuss their potential application in the more informed design of clinical trials and the personalised treatment of cancer

Standardisierungswettbewerb zwischen parametrisierbarer Standardsoftware und komponentenbasierten Anwendungssystemen

Standardisierungswettbewerb zwischen parametrisierbarer Standardsoftware und komponentenbasierten Anwendungssystemen / Stefan Volkert ; Bernd Reitwiesner. - In: Information age economy / Hans Ulrich Buhl ... (Hrsg.). - Heidelberg : Physica-Verl., 2001. - S. 667-68

Decreases in Community Viral Load Are Accompanied by Reductions in New HIV Infections in San Francisco

BACKGROUND: At the individual level, higher HIV viral load predicts sexual transmission risk. We evaluated San Francisco's community viral load (CVL) as a population level marker of HIV transmission risk. We hypothesized that the decrease in CVL in San Francisco from 2004-2008, corresponding with increased rates of HIV testing, antiretroviral therapy (ART) coverage and effectiveness, and population-level virologic suppression, would be associated with a reduction in new HIV infections. METHODOLOGY/PRINCIPAL FINDINGS: We used San Francisco's HIV/AIDS surveillance system to examine the trends in CVL. Mean CVL was calculated as the mean of the most recent viral load of all reported HIV-positive individuals in a particular community. Total CVL was defined as the sum of the most recent viral loads of all HIV-positive individuals in a particular community. We used Poisson models with robust standard errors to assess the relationships between the mean and total CVL and the primary outcome: annual numbers of newly diagnosed HIV cases. Both mean and total CVL decreased from 2004-2008 and were accompanied by decreases in new HIV diagnoses from 798 (2004) to 434 (2008). The mean (p = 0.003) and total CVL (p = 0.002) were significantly associated with new HIV cases from 2004-2008. CONCLUSIONS/SIGNIFICANCE: Reductions in CVL are associated with decreased HIV infections. Results suggest that wide-scale ART could reduce HIV transmission at the population level. Because CVL is temporally upstream of new HIV infections, jurisdictions should consider adding CVL to routine HIV surveillance to track the epidemic, allocate resources, and to evaluate the effectiveness of HIV prevention and treatment efforts

Deletion of the WD40 Domain of LRRK2 in Zebrafish Causes Parkinsonism-Like Loss of Neurons and Locomotive Defect

LRRK2 plays an important role in Parkinson's disease (PD), but its biological functions are largely unknown. Here, we cloned the homolog of human LRRK2, characterized its expression, and investigated its biological functions in zebrafish. The blockage of zebrafish LRRK2 (zLRRK2) protein by morpholinos caused embryonic lethality and severe developmental defects such as growth retardation and loss of neurons. In contrast, the deletion of the WD40 domain of zLRRK2 by morpholinos targeting splicing did not induce severe embryonic developmental defects; rather it caused Parkinsonism-like phenotypes, including loss of dopaminergic neurons in diencephalon and locomotion defects. These neurodegenerative and locomotion defects could be rescued by over-expressing zLRRK2 or hLRRK2 mRNA. The administration of L-dopa could also rescue the locomotion defects, but not the neurodegeneration. Taken together, our results demonstrate that zLRRK2 is an ortholog of hLRRK2 and that the deletion of WD40 domain of zLRRK2 provides a disease model for PD