Phosphoproteomic Analysis Reveals a Novel Mechanism of CaMKIIα Regulation Inversely Induced by Cocaine Memory Extinction versus Reconsolidation.

UNLABELLED: Successful addiction treatment depends on maintaining long-term abstinence, making relapse prevention an essential therapeutic goal. However, exposure to environmental cues associated with drug use often thwarts abstinence efforts by triggering drug using memories that drive craving and relapse. We sought to develop a dual approach for weakening cocaine memories through phosphoproteomic identification of targets regulated in opposite directions by memory extinction compared with reconsolidation in male Sprague-Dawley rats that had been trained to self-administer cocaine paired with an audiovisual cue. We discovered a novel, inversely regulated, memory-dependent phosphorylation event on calcium-calmodulin-dependent kinase II α (CaMKIIα) at serine (S)331. Correspondingly, extinction-associated S331 phosphorylation inhibited CaMKIIα activity. Intra-basolateral amygdala inhibition of CaMKII promoted memory extinction and disrupted reconsolidation, leading to a reduction in subsequent cue-induced reinstatement. CaMKII inhibition had no effect if the memory was neither retrieved nor extinguished. Therefore, inhibition of CaMKII represents a novel mechanism for memory-based addiction treatment that leverages both extinction enhancement and reconsolidation disruption to reduce relapse-like behavior. SIGNIFICANCE STATEMENT: Preventing relapse to drug use is an important goal for the successful treatment of addictive disorders. Relapse-prevention therapies attempt to interfere with drug-associated memories, but are often hindered by unintentional memory strengthening. In this study, we identify phosphorylation events that are bidirectionally regulated by the reconsolidation versus extinction of a cocaine-associated memory, including a novel site on CaMKIIα. Additionally, using a rodent model of addiction, we show that CaMKII inhibition in the amygdala can reduce relapse-like behavior. Together, our data supports the existence of mechanisms that can be used to enhance current strategies for addiction treatment.

Development of a highly automated and multiplexed targeted proteome pipeline and assay for 112 rat brain synaptic proteins.

We present a comprehensive workflow for large scale (>1000 transitions/run) label-free LC-MRM proteome assays. Innovations include automated MRM transition selection, intelligent retention time scheduling that improves S/N by twofold, and automatic peak modeling. Improvements to data analysis include a novel Q/C metric, normalized group area ratio, MLR normalization, weighted regression analysis, and data dissemination through the Yale protein expression database. As a proof of principle we developed a robust 90 min LC-MRM assay for mouse/rat postsynaptic density fractions which resulted in the routine quantification of 337 peptides from 112 proteins based on 15 observations per protein. Parallel analyses with stable isotope dilution peptide standards (SIS), demonstrate very high correlation in retention time (1.0) and protein fold change (0.94) between the label-free and SIS analyses. Overall, our method achieved a technical CV of 11.4% with >97.5% of the 1697 transitions being quantified without user intervention, resulting in a highly efficient, robust, and single injection LC-MRM assay.

Threonine 149 phosphorylation enhances ΔFosB transcriptional activity to control psychomotor responses to cocaine.

Stable changes in neuronal gene expression have been studied as mediators of addicted states. Of particular interest is the transcription factor ΔFosB, a truncated and stable FosB gene product whose expression in nucleus accumbens (NAc), a key reward region, is induced by chronic exposure to virtually all drugs of abuse and regulates their psychomotor and rewarding effects. Phosphorylation at Ser(27) contributes to ΔFosB's stability and accumulation following repeated exposure to drugs, and our recent work demonstrates that the protein kinase CaMKIIα phosphorylates ΔFosB at Ser(27) and regulates its stability in vivo. Here, we identify two additional sites on ΔFosB that are phosphorylated in vitro by CaMKIIα, Thr(149) and Thr(180), and demonstrate their regulation in vivo by chronic cocaine. We show that phosphomimetic mutation of Thr(149) (T149D) dramatically increases AP-1 transcriptional activity while alanine mutation does not affect transcriptional activity when compared with wild-type (WT) ΔFosB. Using in vivo viral-mediated gene transfer of ΔFosB-T149D or ΔFosB-T149A in mouse NAc, we determined that overexpression of ΔFosB-T149D in NAc leads to greater locomotor activity in response to an initial low dose of cocaine than does WT ΔFosB, while overexpression of ΔFosB-T149A does not produce the psychomotor sensitization to chronic low-dose cocaine seen after overexpression of WT ΔFosB and abrogates the sensitization seen in control animals at higher cocaine doses. We further demonstrate that mutation of Thr(149) does not affect the stability of ΔFosB overexpressed in mouse NAc, suggesting that the behavioral effects of these mutations are driven by their altered transcriptional properties.

Early-Life Stress Perturbs Key Cellular Programs in the Developing Mouse Hippocampus.

Conflicting reports are available with regard to the effects of childhood abuse and neglect on hippocampal function in children. While earlier imaging studies and some animal work have suggested that the effects of early-life stress (ELS) manifest only in adulthood, more recent studies have documented impaired hippocampal function in maltreated children and adolescents. Additional work using animal modes is needed to clarify the effects of ELS on hippocampal development. In this regard, genomic, proteomic, and molecular tools uniquely available in the mouse make it a particularly attractive model system to study this issue. However, very little work has been done so far to characterize the effects of ELS on hippocampal development in the mouse. To address this issue, we examined the effects of brief daily separation (BDS), a mouse model of ELS that impairs hippocampal-dependent memory in adulthood, on hippocampal development in 28-day-old juvenile mice. This age was chosen because it corresponds to the developmental period in which human imaging studies have revealed abnormal hippocampal development in maltreated children. Exposure to BDS caused a significant decrease in the total protein content of synaptosomes harvested from the hippocampus of 28-day-old male and female mice, suggesting that BDS impairs normal synaptic development in the juvenile hippocampus. Using a novel liquid chromatography multiple reaction monitoring mass spectrometry (LC-MRM) assay, we found decreased expression of many synaptic proteins, as well as proteins involved in axonal growth, myelination, and mitochondrial activity. Golgi staining in 28-day-old BDS mice showed an increase in the number of immature and abnormally shaped spines and a decrease in the number of mature spines in CA1 neurons, consistent with defects in synaptic maturation and synaptic pruning at this age. In 14-day-old pups, BDS deceased the expression of proteins involved in axonal growth and myelination, but did not affect the total protein content of synaptosomes harvested from the hippocampus, or protein levels of other synaptic markers. These results add two important findings to previous work in the field. First, our findings demonstrate that in 28-day-old juvenile mice, BDS impairs synaptic maturation and reduces the expression of proteins that are necessary for axonal growth, myelination, and mitochondrial function. Second, the results suggest a sequential model in which BDS impairs normal axonal growth and myelination before it disrupts synaptic maturation in the juvenile hippocampus.

Cystatin C or creatinine for pre-operative assessment of kidney function and risk of post-operative acute kidney injury: a secondary analysis of the METS cohort study.

Background: Post-operative acute kidney injury (PO-AKI) is a common surgical complication consistently associated with subsequent morbidity and mortality. Prior kidney dysfunction is a major risk factor for PO-AKI, however it is unclear whether serum creatinine, the conventional kidney function marker, is optimal in this population. Serum cystatin C is a kidney function marker less affected by body composition and might provide better prognostic information in surgical patients. Methods: This was a pre-defined, secondary analysis of a multi-centre prospective cohort study of pre-operative functional capacity. Participants were aged ≥40 years, undergoing non-cardiac surgery. We assessed the association of pre-operative estimated glomerular filtration rate (eGFR) calculated using both serum creatinine and serum cystatin C with PO-AKI within 3 days after surgery, defined by KDIGO creatinine changes. The adjusted analysis accounted for established AKI risk factors. Results: A total of 1347 participants were included (median age 65 years, interquartile range 56-71), of whom 775 (58%) were male. A total of 82/1347 (6%) patients developed PO-AKI. These patients were older, had higher prevalence of cardiovascular disease and related medication, were more likely to have intra-abdominal procedures, had more intraoperative transfusion, and were more likely to be dead at 1 year after surgery 6/82 (7.3%) vs 33/1265 (2.7%) (P = .038). Pre-operative eGFR was lower in AKI than non-AKI patients using both creatinine and cystatin C. When both measurements were considered in a single age- and sex-adjusted model, eGFR-Cysc was strongly associated with PO-AKI, with increasing risk of AKI as eGFR-Cysc decreased below 90, while eGFR-Cr was no longer significantly associated. Conclusions: Data from over 1000 prospectively recruited surgical patients confirms pre-operative kidney function as major risk factor for PO-AKI. Of the kidney function markers available, compared with creatinine, cystatin C had greater strength of association with PO-AKI and merits further assessment in pre-operative assessment of surgical risk.

Research protocol for an observational health data analysis to assess the applicability of randomized controlled trials focusing on newly diagnosed metastatic prostate cancer using real-world data: PIONEER IMI's "big data for better outcomes" program.

Background: Metastatic prostate cancer (PCa) constitutes ~5% of all new PCa diagnoses in Western countries. For most cases, primary consideration should be given to systemic therapies as the first-line approach based on evidence from randomized controlled trials (RCTs). Despite the importance of RCTs as the pinnacle of evidence in modern medicine, concerns have been raised about their applicability to real-life scenarios. These trials often feature participants who are younger with better performance statuses and prognoses compared to their real-world counterparts. The PIONEER project falls under the Innovative Medicine Initiative's (IMI) "Big Data for Better Outcomes" initiative, aimed at revolutionizing PCa care in Europe. The central focus lies in improving cancer-related outcomes, enhancing health system efficiency, and elevating the quality of health and social care. This study endeavours to evaluate the generalizability of RCT findings concerning newly diagnosed metastatic PCa. Methods: A systematic review of the literature will be conducted to compile patient characteristics from RCTs addressing this subject within the past decade. To create a real-world benchmark, patients with recently diagnosed metastatic PCa from a network of population-based databases will serve as a comparison group. The objective is to assess the applicability of RCT results in two ways. First, a comparison will be made between the characteristics of patients with newly diagnosed metastatic PCa enroled in RCTs and those with the same condition included in our databases which might represent the real-world setting. Second, an evaluation will be undertaken to determine the proportion of real-world patients with newly diagnosed metastatic PCa who meet the criteria for RCT enrolment. This study will rely on extensive observational data, primarily sourced from population-based registries, electronic health records, and insurance claims data. The study cohort is established upon routinely gathered healthcare data, meticulously mapped to the Observational Medical Outcomes Partnership Common Data Model.

PIONEER big data platform for prostate cancer: lessons for advancing future real-world evidence research.

Prostate Cancer Diagnosis and Treatment Enhancement through the Power of Big Data in Europe (PIONEER) is a European network of excellence for big data in prostate cancer. PIONEER brings together 34 private and public stakeholders from 9 countries in one multidisciplinary research consortium with the aim of positively transforming the field of prostate cancer clinical care by answering pressing questions related to prostate cancer screening, diagnosis and treatment. PIONEER has developed a unique state-of-the-art big data analytic platform by integrating existing data sources from patients with prostate cancer. PIONEER leveraged this platform to address prioritized research questions, filling knowledge gaps in the characterization, management and core outcomes of prostate cancer across the different disease stages. The network has benefited from sustained patient and stakeholder involvement and engagement, but many challenges remain when using real-world data for big data projects. To continue to advance prostate cancer care, data need to be available, suitable methodologies should be selected and mechanisms for knowledge sharing must be in place. Now acting as the prostate cancer arm of the European Association of Urology's new endeavour, UroEvidenceHub, PIONEER maintains its goal of maximizing the potential of big data to improve prostate cancer care.

Research Protocol for an Observational Health Data Analysis on the Adverse Events of Systemic Treatment in Patients with Metastatic Hormone-sensitive Prostate Cancer: Big Data Analytics Using the PIONEER Platform.

Combination therapies in metastatic hormone-sensitive prostate cancer (mHSPC), which include the addition of an androgen receptor signaling inhibitor and/or docetaxel to androgen deprivation therapy, have been a game changer in the management of this disease stage. However, these therapies come with their fair share of toxicities and side effects. The goal of this observational study is to report drug-related adverse events (AEs), which are correlated with systemic combination therapies for mHSPC. Determining the optimal treatment option requires large cohorts to estimate the tolerability and AEs of these combination therapies in "real-life" patients with mHSPC, as provided in this study. We use a network of databases that includes population-based registries, electronic health records, and insurance claims, containing the overall target population and subgroups of patients defined by unique certain characteristics, demographics, and comorbidities, to compute the incidence of common AEs associated with systemic therapies in the setting of mHSPC. These data sources are standardised using the Observational Medical Outcomes Partnership Common Data Model. We perform the descriptive statistics as well as calculate the AE incidence rate separately for each treatment group, stratified by age groups and index year. The time until the first event is estimated using the Kaplan-Meier method within each age group. In the case of episodic events, the anticipated mean cumulative counts of events are calculated. Our study will allow clinicians to tailor optimal therapies for mHSPC patients, and they will serve as a basis for comparative method studies.

Clinical Characterization of Patients Diagnosed with Prostate Cancer and Undergoing Conservative Management: A PIONEER Analysis Based on Big Data.

BACKGROUND: Conservative management is an option for prostate cancer (PCa) patients either with the objective of delaying or even avoiding curative therapy, or to wait until palliative treatment is needed. PIONEER, funded by the European Commission Innovative Medicines Initiative, aims at improving PCa care across Europe through the application of big data analytics. OBJECTIVE: To describe the clinical characteristics and long-term outcomes of PCa patients on conservative management by using an international large network of real-world data. DESIGN, SETTING, AND PARTICIPANTS: From an initial cohort of >100 000 000 adult individuals included in eight databases evaluated during a virtual study-a-thon hosted by PIONEER, we identified newly diagnosed PCa cases (n = 527 311). Among those, we selected patients who did not receive curative or palliative treatment within 6 mo from diagnosis (n = 123 146). OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Patient and disease characteristics were reported. The number of patients who experienced the main study outcomes was quantified for each stratum and the overall cohort. Kaplan-Meier analyses were used to estimate the distribution of time to event data. RESULTS AND LIMITATIONS: The most common comorbidities were hypertension (35-73%), obesity (9.2-54%), and type 2 diabetes (11-28%). The rate of PCa-related symptomatic progression ranged between 2.6% and 6.2%. Hospitalization (12-25%) and emergency department visits (10-14%) were common events during the 1st year of follow-up. The probability of being free from both palliative and curative treatments decreased during follow-up. Limitations include a lack of information on patients and disease characteristics and on treatment intent. CONCLUSIONS: Our results allow us to better understand the current landscape of patients with PCa managed with conservative treatment. PIONEER offers a unique opportunity to characterize the baseline features and outcomes of PCa patients managed conservatively using real-world data. PATIENT SUMMARY: Up to 25% of men with prostate cancer (PCa) managed conservatively experienced hospitalization and emergency department visits within the 1st year after diagnosis; 6% experienced PCa-related symptoms. The probability of receiving therapies for PCa decreased according to time elapsed after the diagnosis.

L-histidine decarboxylase and Tourette's syndrome.

Tourette's syndrome is a common developmental neuropsychiatric disorder characterized by chronic motor and vocal tics. Despite a strong genetic contribution, inheritance is complex, and risk alleles have proven difficult to identify. Here, we describe an analysis of linkage in a two-generation pedigree leading to the identification of a rare functional mutation in the HDC gene encoding L-histidine decarboxylase, the rate-limiting enzyme in histamine biosynthesis. Our findings, together with previously published data from model systems, point to a role for histaminergic neurotransmission in the mechanism and modulation of Tourette's syndrome and tics.

Unanswered questions in prostate cancer - findings of an international multi-stakeholder consensus by the PIONEER consortium.

PIONEER is a European network of excellence for big data in prostate cancer consisting of 37 private and public stakeholders from 9 countries across Europe. Many progresses have been done in prostate cancer management, but unanswered questions in the field still exist, and big data could help to answer these questions. The PIONEER consortium conducted a two-round modified Delphi survey aiming at building consensus between two stakeholder groups - health-care professionals and patients with prostate cancer - about the most important questions in the field of prostate cancer to be answered using big data. Respondents were asked to consider what would be the effect of answering the proposed questions on improving diagnosis and treatment outcomes for patients with prostate cancer and to score these questions on a scale of 1 (not important) to 9 (critically important). The mean percentage of participants who scored each of the proposed questions as critically important was calculated across the two stakeholder groups and used to rank the questions and identify the highest scoring questions in the critically important category. The identification of questions in prostate cancer that are important to various stakeholders will help the PIONEER consortium to provide answers to these questions to improve the clinical care of patients with prostate cancer.

The cost impact of disease progression to metastatic castration-sensitive prostate cancer.

BACKGROUND: Metastatic prostate cancer (PC) is associated with declining survival rates and increased health care expenditure. However, there are few studies quantifying these increased costs. OBJECTIVE: To estimate overall health care resource utilization and costs associated with progression to metastatic disease in Medicare or commercially insured patients with nonmetastatic castration-sensitive PC (nmCSPC) or previously undiagnosed PC. METHODS: In this retrospective, observational cohort study, we used data from the IBM MarketScan Commercial and MarketScan Medicare Supplemental Databases. Included patients were aged 18 years or older, had 2 or more health care claims associated with a diagnosis of PC, and had a diagnosis of metastatic disease (index date) between January 1, 2014, and December 31, 2016. Patients with PC were identified at index as either progressing from a localized disease state (nmCSPC) without evidence of castration resistance (progressors) or de novo metastatic without a prior PC diagnosis. Unadjusted all-cause direct health care costs for the 2-year pre-index period and up to 2 years post-index were summarized. Metastasis-related incremental all-cause direct health care costs were estimated using regression modeling to adjust for patient baseline characteristics, follow-up duration, and possible selection bias. RESULTS: We identified 3,854 patients who met the criteria for CSPC at metastasis: 2,766 Medicare patients (mean age 78.8 ± 7.6 years) and 1,088 commercial patients (mean age 57.6 ± 4.3 years), with de novo patients accounting for 28.9% and 34.5% of the 2 analysis populations, respectively. Mean unadjusted total all-cause health care costs over the 24-month pre-index period among progressors were $52,661 (Medicare) and $43,111 (commercial); those among de novo patients were $39,756 (Medicare) and $22,090 (commercial). Mean unadjusted post-index costs for progressors were $100,331 (Medicare) and $127,374 (commercial) over a mean follow-up duration of 14.63 and 18.41 months, respectively, and $124,538 (Medicare) and $173,408 (commercial) over a mean follow-up duration of 14.14 and 17.29 months for patients with de novo disease. After multivariate adjustment, incremental cost increases due to metastasis in patients with CSPC pre-index were estimated at $104,051 (Medicare) and $93,334 (commercial), assuming data are available for 24 months post-index. Allowing for variation in the postindex observation period, estimates were $71,308 (Medicare) and $82,336 (commercial). Among de novo patients, cost increases due to metastasis were estimated at $180,932 (Medicare) and $215,397 (commercial), assuming all patients have data for 24 months postindex. Allowing for variable follow-up, estimates were $113,253 (Medicare) and $161,714 (commercial). CONCLUSIONS: Development of metastatic CSPC is associated with considerable costs over a 24-month follow-up period. Cost increases are greater for de novo patients than for those who progressed from localized disease. DISCLOSURES: Q.-D. Trinh received personal fees from Astellas, Bayer, and Janssen and grants from Intuitive Surgical. L. Passos Chaves, Q. Feng, J. Zhu, and T. Abbott are employees of Astellas Pharma Global Development, Inc. R. Sandin is an employee of, and holds stock in, Pfizer AB. This study was funded by Astellas Pharma Inc. (Northbrook, IL) and Pfizer Inc., the codevelopers of enzalutamide. Astellas Pharma Inc. was involved in the study design, data collection, analysis, interpretation of data, and decision to present these results.

Good research practices for measuring drug costs in cost-effectiveness analyses: a societal perspective: the ISPOR Drug Cost Task Force report--Part II.

OBJECTIVES: Major guidelines regarding the application of cost-effectiveness analysis (CEA) have recommended the common and widespread use of the "societal perspective" for purposes of consistency and comparability. The objective of this Task Force subgroup report (one of six reports from the International Society for Pharmacoeconomics and Outcomes Research [ISPOR] Task Force on Good Research Practices-Use of Drug Costs for Cost Effectiveness Analysis [Drug Cost Task Force (DCTF)]) was to review the definition of this perspective, assess its specific application in measuring drug costs, identify any limitations in theory or practice, and make recommendations regarding potential improvements. METHODS: Key articles, books, and reports in the methodological literature were reviewed, summarized, and integrated into a draft review and report. This draft report was posted for review and comment by ISPOR membership. Numerous comments and suggestions were received, and the report was revised in response to them. RESULTS: The societal perspective can be defined by three conditions: 1) the inclusion of time costs, 2) the use of opportunity costs, and 3) the use of community preferences. In practice, very few, if any, published CEAs have met all of these conditions, though many claim to have taken a societal perspective. Branded drug costs have typically used actual acquisition cost rather than the much lower social opportunity costs that would reflect only short-run manufacturing and distribution costs. This practice is understandable, pragmatic, and useful to current decision-makers. Nevertheless, this use of CEA focuses on static rather than dynamic efficacy and overlooks the related incentives for innovation. CONCLUSIONS: Our key recommendation is that current CEA practice acknowledge and embrace this limitation by adopting a new standard for the reference case as one of a "limited societal" or "health systems" perspective, using acquisition drug prices while including indirect costs and community preferences. The field of pharmacoeconomics also needs to acknowledge the limitations of this perspective when it comes to important questions of research and development costs, and incentives for innovation.

Introducing PIONEER: a project to harness big data in prostate cancer research.

Prostate Cancer Diagnosis and Treatment Enhancement Through the Power of Big Data in Europe (PIONEER) is a European network of excellence for big data in prostate cancer, consisting of 32 private and public stakeholders from 9 countries across Europe. Launched by the Innovative Medicines Initiative 2 and part of the Big Data for Better Outcomes Programme (BD4BO), the overarching goal of PIONEER is to provide high-quality evidence on prostate cancer management by unlocking the potential of big data. The project has identified critical evidence gaps in prostate cancer care, via a detailed prioritization exercise including all key stakeholders. By standardizing and integrating existing high-quality and multidisciplinary data sources from patients with prostate cancer across different stages of the disease, the resulting big data will be assembled into a single innovative data platform for research. Based on a unique set of methodologies, PIONEER aims to advance the field of prostate cancer care with a particular focus on improving prostate-cancer-related outcomes, health system efficiency by streamlining patient management, and the quality of health and social care delivered to all men with prostate cancer and their families worldwide.

Author Correction: Introducing PIONEER: a project to harness big data in prostate cancer research.

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Use of a Targeted Urine Proteome Assay (TUPA) to identify protein biomarkers of delayed recovery after kidney transplant.

PURPOSE: Development of delayed graft function (DGF) following kidney transplant is associated with poor outcomes. An ability to rapidly identify patients with DGF versus those with immediate graft function (IGF) may facilitate the treatment of DGF and the research needed to improve prognosis. The purpose of this study was to use a Targeted Urine Proteome Assay to identify protein biomarkers of delayed recovery from kidney transplant. EXPERIMENTAL DESIGN: Potential biomarkers were identified using the Targeted Urine Proteome (MRM) Assay to interrogate the relative DGF/IGF levels of expression of 167 proteins in urine taken 12-18 h after kidney implantation from 21 DGF, 15 SGF (slow graft function), and 16 IGF patients. An iterative Random Forest analysis approach evaluated the relative importance of each biomarker, which was then used to identify an optimum biomarker panel that provided the maximum sensitivity and specificity with the least number of biomarkers. CONCLUSIONS AND CLINICAL RELEVANCE: Four proteins were identified that together distinguished DGF with a sensitivity of 77.4%, specificity of 82.6%, and AUC of 0.891. This panel represents an important step toward identifying DGF at an early stage so that more effective treatments can be developed to improve long-term graft outcomes.

Brain Region and Isoform-Specific Phosphorylation Alters Kalirin SH2 Domain Interaction Sites and Calpain Sensitivity.

Kalirin7 (Kal7), a postsynaptic Rho GDP/GTP exchange factor (RhoGEF), plays a crucial role in long-term potentiation and in the effects of cocaine on behavior and spine morphology. The KALRN gene has been linked to schizophrenia and other disorders of synaptic function. Mass spectrometry was used to quantify phosphorylation at 26 sites in Kal7 from individual adult rat nucleus accumbens and prefrontal cortex before and after exposure to acute or chronic cocaine. Region- and isoform-specific phosphorylation was observed along with region-specific effects of cocaine on Kal7 phosphorylation. Evaluation of the functional significance of multisite phosphorylation in a complex protein like Kalirin is difficult. With the identification of five tyrosine phosphorylation (pY) sites, a panel of 71 SH2 domains was screened, identifying subsets that interacted with multiple pY sites in Kal7. In addition to this type of reversible interaction, endoproteolytic cleavage by calpain plays an essential role in long-term potentiation. Calpain cleaved Kal7 at two sites, separating the N-terminal domain, which affects spine length, and the PDZ binding motif from the GEF domain. Mutations preventing phosphorylation did not affect calpain sensitivity or GEF activity; phosphomimetic mutations at specific sites altered protein stability, increased calpain sensitivity, and reduced GEF activity.

Adherence to bisphosphonate therapy and fracture rates in osteoporotic women: relationship to vertebral and nonvertebral fractures from 2 US claims databases.

OBJECTIVE: To characterize the relationships between adherence (complance and persistence) to bisphosphonate therapy and risk of specific fracture types in postmenopausal women. PATIENTS AND METHODS: Data were collected from 45 employers and 100 health plans in the continental United States from 2 claims databases during a 5-year period (January 1, 1999, through December 31, 2003). Claims from patients receiving a bisphosphonate prescription (alendronate or risedronate) were evaluated for 6 months before the Index prescription and during 24 months of follow-up to determine total, vertebral, and nonvertebral osteoporotic fractures, persistence (no gap in refills for >30 days during 24 months), and refill compliance (medication possession ratio > or = 0.80). RESULTS: The eligible cohort included 35,537 women (age, > or = 45 years) who received a bisphosphonate prescription. A subgroup with a specified diagnosis of postmenopausal osteoporosis was also evaluated. Forty-three percent were refill compliant, and 20% persisted with bisphosphonate therapy during the 24-month study period. Total, vertebral, nonvertebral, and hip fractures were significantly lower in refill-compliant and persistent patients, with relative risk reductions of 20% to 45%. The relationship between adherence and fracture risk remained significant after adjustment for baseline age, concomitant medications, and fracture history. There was a progressive relationship between refill compliance and fracture risk reduction, commencing at refill compliance rates of approximately 50% and becoming more pronounced at compliance rates of 75% and higher. CONCLUSIONS: Adherence to bisphosphonate therapy was associated with significantly fewer fractures at 24 months. Increasing refill compliance levels were associated with progressively lower fracture rates. These findings suggest that incremental changes in medication-taking habits could improve clinical outcomes of osteoporosis treatment.

Association between Hyaluronic Acid Injections and Time-to-Total Knee Replacement Surgery.

This study assessed the association between hyaluronic acid (HA) injections and time-to-total knee replacement (TKR) surgery for patients with knee osteoarthritis (OA). Patients 18 to 64 years of age who had TKR surgery between January 1, 2006 and December 31, 2011 were identified from the MarketScan Commercial claims database. All patients had 6 years or more of continuous enrollment prior to TKR surgery. There were two cohorts (1) patients with HA injections prior to TKR surgery and (2) patients who did not have HA injections prior to TKR surgery. Time-to-TKR was defined as the total days from the date of diagnosis of knee OA on the patient's first visit to an orthopedic surgeon to the date of TKR surgery. Results included 22,555 patients who had TKR surgery: 14,132 in the non-HA and 8,423 in the HA cohort. In this retrospective analysis of patients undergoing TKR, the median Time-to-TKR surgery was 326 days for the non-HA and 908 days for the HA cohort, a difference of 582 days. Those receiving HA injections had a median 1.6-year longer Time-to-TKR surgery versus those who did not receive HA injections. These results have both clinical and economic implications.