Regulation of WASH-dependent actin polymerization and protein trafficking by ubiquitination.

Endosomal protein trafficking is an essential cellular process that is deregulated in several diseases and targeted by pathogens. Here, we describe a role for ubiquitination in this process. We find that the E3 RING ubiquitin ligase, MAGE-L2-TRIM27, localizes to endosomes through interactions with the retromer complex. Knockdown of MAGE-L2-TRIM27 or the Ube2O E2 ubiquitin-conjugating enzyme significantly impaired retromer-mediated transport. We further demonstrate that MAGE-L2-TRIM27 ubiquitin ligase activity is required for nucleation of endosomal F-actin by the WASH regulatory complex, a known regulator of retromer-mediated transport. Mechanistic studies showed that MAGE-L2-TRIM27 facilitates K63-linked ubiquitination of WASH K220. Significantly, disruption of WASH ubiquitination impaired endosomal F-actin nucleation and retromer-dependent transport. These findings provide a cellular and molecular function for MAGE-L2-TRIM27 in retrograde transport, including an unappreciated role of K63-linked ubiquitination and identification of an activating signal of the WASH regulatory complex.

MAGE-RING protein complexes comprise a family of E3 ubiquitin ligases.

The melanoma antigen (MAGE) family consists of more than 60 genes, many of which are cancer-testis antigens that are highly expressed in cancer and play a critical role in tumorigenesis. However, the biochemical and cellular functions of this enigmatic family of proteins have remained elusive. Here, we identify really interesting new gene (RING) domain proteins as binding partners for MAGE family proteins. Multiple MAGE family proteins bind E3 RING ubiquitin ligases with specificity. The crystal structure of one of these MAGE-RING complexes, MAGE-G1-NSE1, reveals structural insights into MAGE family proteins and their interaction with E3 RING ubiquitin ligases. Biochemical and cellular assays demonstrate that MAGE proteins enhance the ubiquitin ligase activity of RING domain proteins. For example, MAGE-C2-TRIM28 is shown to target p53 for degradation in a proteasome-dependent manner, consistent with its tumorigenic functions. These findings define a biochemical and cellular function for the MAGE protein family.

Echocardiographic and hemodynamic indices of myocardial contractility simultaneously evaluated in telemetered beagle dogs: A HESI-sponsored cross-company evaluation.

INTRODUCTION: Alterations in cardiac contractility can have significant clinical implications, highlighting the need for early detection of potential liabilities. Pre-clinical methods to assess contractility are typically invasive and their translation to human measures of cardiac function are not well defined. Clinically, cardiac function is most often measured non-invasively using echocardiography. The objective of these studies was to introduce echocardiography into standard large animal cardiovascular safety pharmacology studies and determine the feasibility of this combination. METHODS: A consortia of laboratories combined their data sets for evaluation. At each site, telemetered beagle dogs, in a 4 × 4 Latin square crossover study design (n = 4), were administered either pimobendan (positive inotrope) or atenolol (negative inotrope) orally at clinically relevant dose levels. Standard telemetry parameters were collected (heart rate, mean arterial blood pressure, etc.) continuously over 24 h, as well as derived contractility endpoints: QA interval and LV +dP/dtmax. At Tmax, echocardiography was performed in conscious dogs with minimal restraint to collect contractility parameters: ejection fraction (EF) and fractional shortening (FS). RESULTS: Correlations between telemetry and echo contractility endpoints showed that, in general, a change in LV +dP/dtmax of 1000 mmHg/s translates to a 5.2% change in EF and a 4.2% change in FS. Poor correlations were shown between QA interval derived simultaneously, to both EF and FS. DISCUSSION: Comparing data from telemetry-only groups to those that included echocardiography collections showed no effect in the ability to interpret test article-related effects, providing the foundation for the inclusion of echocardiography without compromising standard telemetry data quality.

The evaluation of endpoint variability and implications for study statistical power and sample size in conscious instrumented dogs.

INTRODUCTION: The sensitivity of a given test to detect a treatment-induced effect in a variable of interest is intrinsically related to the variability of that variable observed without treatment and the number of observations made in the study (i.e. number of animals). To evaluate test sensitivity to detect drug-induced changes in myocardial contractility using the variable LVdP/dtmax, a HESI-supported consortium designed and conducted studies in chronically instrumented, conscious dogs using telemetry. This paper evaluated the inherent variability of the primary endpoint, LVdP/dtmax, over time in individual animals as well as the variability between animals for a given laboratory. An approach is described to evaluate test system variability and thereby test sensitivity which may be used to support the selection of the number of animals for a given study, based on the desired test sensitivity. METHODS: A double 4 × 4 Latin square study design where eight animals each received a vehicle control and three dose levels of a test compound was conducted at six independent laboratories. LVdP/dtmax was assessed via implanted telemetry systems in Beagle dogs (N = 8) using the same protocol and each of the six laboratories conducted between two and four studies. Vehicle data from each study was used to evaluate the between-animal and within-animal variability in different time averaging windows. Simulations were conducted to evaluate statistical power and type I error for LVdP/dtmax based on the estimated variability and assumed treatment effects in hourly-interval, bi-hourly interval, or drug-specific super interval. RESULTS: We observe that the within-animal variability can be reduced by as much as 30% through the use of a larger time averaging window. Laboratory is a significant source of animal-to-animal variability as between-animal variability is laboratory-dependent and is less impacted by the use of different time averaging windows. The statistical power analysis shows that with N = 8, the double Latin square design has over 90% power to detect a minimal time profile with a maximum change of up to 15% or approximately 450 mm Hg/s in LVdP/dtmax. With N = 4, the single Latin square design has over 80% power to detect a minimal time profile with a maximum change of up to 20% or approximately 600 mm Hg/s in LVdP/dtmax. DISCUSSION: We describe a statistical procedure to quantitatively evaluate the acute cardiac effects from studies conducted across six sites and objectively examine the variability and sensitivity that were difficult or impossible to calculate consistently based on previous works. Although this report focuses on the evaluation on LVdP/dtmax, this approach is appropriate for other variables such as heart rate, arterial blood pressure, or variables derived from the ECG.

Cardiac contractility: Correction strategies applied to telemetry data from a HESI-sponsored consortium.

INTRODUCTION: QT has a long history of heart rate (HR) correction but limited investigations have been undertaken to assess the impact of cardiovascular parameters on left ventricular (LV) contractility in drug safety testing. Cardiac contractility is affected by preload (Cyon-Frank-Starling law), afterload (Anrep effect) and HR (Bowditch effect). We evaluated multi-parameter correction methods to help with dP/dtmax interpretation. METHODOLOGY: Modeling was undertaken using data from dogs in single or double 4×4 Latin square studies. Correction models (16 fitting formulas×2 modeling approaches (universal and individualized)×2 correction approaches (linear or proportional)) were evaluated. 3D/2D cloud analysis of the beat-to-beat data for the control, pimobendan, and either itraconazole or atenolol groups were used to evaluate correlations between parameters and derive an optimal correction method. RESULTS: Cardiac contractility (i.e., dP/dtmax) was best correlated to HR and systolic LV pressure with a correlation coefficient of 0.8. In decreasing order, dP/dtmin, mean arterial blood pressure (BP), systolic BP, diastolic BP, arterial pulse pressure and LV end diastolic pressure (LVEDP) showed a reduced correlation to dP/dtmax. Subject-specific models improved the correction by up to 14% when compared to universal correction models. The non-linear correction model was superior to the linear model. DISCUSSION: Results suggest that the optimal correction formula for dP/dtmax would be subject-specific, non-linear and would include HR and LV systolic pressure. Correcting contractility for HR and systolic LV pressure may enhance data interpretation in non-clinical drug safety assessments. Similar correction methods could be evaluated for other species used in safety pharmacology.

An evaluation of the utility of LVdP/dt40, QA interval, LVdP/dtmin and Tau as indicators of drug-induced changes in contractility and lusitropy in dogs.

INTRODUCTION: The importance of drug-induced effects on the inotropic state of the heart is well known. Unlike hemodynamic and cardiac electrophysiological methods, which have been routinely used in drug safety testing for years, the non-clinical assessment of drug effects on myocardial contractility is used less frequently with no established translation to humans. The goal of these studies was to determine whether assessment of alternate measures of cardiac inotropy could detect drug-induced changes in the contractile state of the heart using drugs known to have clinically relevant positive and negative effects on myocardial contractility. This study also evaluated drug-induced effects on lusitropy (relaxation) parameters of the heart. METHODS: A double 4×4 Latin square study design using Beagle dogs (n=8) was conducted. Drugs were administrated orally. Arterial blood pressure (BP), left ventricular pressure (LVP) and the electrocardiogram (ECG) were assessed across different laboratories using the same protocol. Each of the six laboratories studied at least 2 drugs (one positive inotrope (pimobendan or amrinone) and one negative inotrope (itraconazole or atenolol) at 3 doses selected to match clinical exposure data and a vehicle control). Animals were instrumented with an ITS telemetry system or DSI's D70-PCTP or PhysioTel™ Digital system. The data acquisition and analysis systems used were Ponemah, Notocord or EMKA. RESULTS: The derived inotropic and lusitropic parameters evaluated included peak systolic and end diastolic LVP, LVdP/dtmax, LVdP/dt40, QA interval, LVdP/dtmin and Tau. This study showed that LVdP/dt40 provided essentially identical results to LVdP/dtmax qualifying it as an index to assess drug effects on cardiac contractility. LVdP/dt40 provided an essentially identical assessment to that of LVdP/dtmax. The QA interval did not react sensitively to the drugs tested in this study; however, it did detect large effects and could be useful in early cardiovascular safety studies. The lusitropic parameter, LVdP/dtmin, was modestly decreased, and Tau was increased, by atenolol and itraconazole. At the doses tested, amrinone and pimobendan produced no changes in LVdP/dtmin while Tau was modestly increased. The drugs did not produce effects on BP, HR or the ECG at the doses tested. Blood samples were drawn to confirm drug exposures predicted from independent pharmacokinetic studies. DISCUSSION: These findings indicate that this experimental model can accurately and consistently detect changes in cardiac contractility, across multiple sites and instrumentation systems. While LVdP/dt40 produced responses similar to LVdP/dtmax, the QA interval and lusitropic parameters LVdP/dtmin and Tau were not markedly changed at the dose of drugs tested. Further studies with drugs that affect early diastolic relaxation through calcium handling are needed to better evaluate drug-induced changes on lusitropic properties of the heart.

Unlock the information in your data: Software to find, classify, and report on data patterns and arrhythmias.

INTRODUCTION: Safety studies generate a significant volume of waveform and calculated data. The verification of calculated data and the process of searching through these data for patterns of interest (including arrhythmias) is time intensive. Data Insights™ has been developed for the Ponemah™ software platform to provide efficient verification and search capabilities. METHODS: Searches may be constructed using calculated and pattern matching data available in Ponemah. Searches are composed of one or more search clauses that may be combined using Boolean operators (AND, OR). Each search clause is a Boolean expression composed of inputs and functions. Data Insights includes a number of predefined species-specific searches for arrhythmias that were qualified for canine, non-human primate and minipigs. Qualification compared arrhythmias identified using Data Insights against a board-certified veterinary cardiologist hand-scored reference datasets. RESULTS: In seven out of eight arrhythmia types, arrhythmia incidences identified by Data Insights were congruent to those identified by hand-scoring. Premature Atrial Contractions (PACs) accounted for the only discrepancy in hand scored data-segments, although all overt PACs identified by the veterinary cardiologist were also identified by Data Insights. Unscored atrio-ventricular blocks accounted for the remaining differences. DISCUSSION: Data Insights may be used to support different applications, as searches may be created for any physiologic signal type. Its interactive dialog permits rapid review of search results and a dynamic method for handling outliers, signal noise, and false positives. Data Insights provides an efficient method to locate, present, and report on data patterns and anomalies for accurate, consistent results.

Patient-centered communication and prognosis discussions with cancer patients.

OBJECTIVE: To examine physician communication associated with prognosis discussion with cancer patients. METHODS: We conducted a study of physician-patient communication using trained actors. Thirty-nine physicians, including 19 oncologists and 20 family physicians participated in the study. Actors carried two hidden digital recorders to unannounced visits. We coded recordings for eliciting and validating patient concerns, attentive voice tone, and prognosis talk. RESULTS: Actor adherence to role averaged 92% and the suspected detection rate was 14%. In a multiple regression, eliciting and validating patient concerns (beta=.40, C.I.=0.11-0.68) attentiveness (beta=.32, C.I.=0.06-0.58) and being an oncologist vs. a family physician (beta=.33, C.I.=0.33-1.36) accounted for 46% of the variance in prognosis communication. CONCLUSION: Eliciting and validating patient concerns and attentiveness voice tone is associated with increased discussion of cancer patient prognosis as is physician specialty. PRACTICE IMPLICATIONS: Eliciting and validating patient concerns and attentive voice tone may be markers of physician willingness to discuss emotionally difficult topics. Educating physicians about mindful practice may increase their ability to collect important information and to attend to patient concerns.