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P2X7 Receptor in Rare Diseases: Shared Molecular Mechanisms and Therapeutic Implications.

Rare diseases (RDs) are individually uncommon but collectively affect a large global population, and the vast majority still lack effective disease-modifying therapies. With advances in genomics and data-sharing platforms, research has increasingly shifted from a single-disease perspective to the search for convergent molecular pathways that might be shared across clinically distinct entities. In this context, the purinergic P2X7 receptor (P2X7R) has emerged as a putative "shared molecular platform" due to its central role in inflammation amplification, cell death and immune regulation. P2X7R is an ATP-gated ion channel with unique structural and functional features: under high extracellular ATP, it not only forms a non-selective cation channel but can also dilate into a "large pore" permeable to macromolecules, thereby triggering Ca2+overload, NLRP3 inflammasome assembly, reactive oxygen species (ROS) production and apoptotic/necrotic-like cell death. This review briefly outlines the epidemiology of RDs and the structural-functional characteristics of P2X7R, then systematically summarizes current evidence linking P2X7R to multiple rare diseases, including Charcot-Marie-Tooth disease, Guillain-Barré syndrome, amyotrophic lateral sclerosis, Huntington's disease, multiple sclerosis, and selected inflammatory and metabolic RDs (CAPS, familial Mediterranean fever, Systemic sclerosis, Dravet syndrome and Gaucher disease). By comparing P2X7R expression and functional alterations, downstream signaling pathways and pharmacological data from animal models across these conditions, we propose that a P2X7R-dependent network centered on a "Ca2+-NLRP3-inflammation/cell death axis" may constitute a common pathogenic backbone for diverse RDs. At the same time, disease-specific spatiotemporal expression patterns of P2X7R in central vs peripheral nervous systems and in immune vs target organ cells confer marked context dependence and "double-edged sword" properties. Finally, we discuss opportunities and challenges for P2X7R-targeted strategies, including the impact of disease stage and sex differences on therapeutic efficacy, and key bottlenecks in translating preclinical findings into clinical benefit. A deeper understanding of both shared and disease-specific roles of P2X7R may provide a conceptual framework and therapeutic entry point for precision stratification and multi-target interventions in rare diseases.

P2X7 receptor↗

Pharmacy benefit forecast for a new interferon Beta-1a for the treatment of multiple sclerosis: development of a first-line decision tool for pharmacy-budget planning using administrative claims data.

OBJECTIVE: To estimate the incremental change in pharmacy per-member-permonth (PMPM) costs, according to various formulary designs, for a new interferon beta-1a product (IB1a2) using administrative claims data. METHODS: Cross-sectional sex- and age-specific disease prevalence and treatment rates for relapsing, remitting multiple sclerosis (RRMS) patients were measured using integrated medical and pharmacy claims data from a 500,000- member employer group in the southern United States. Migration to IB1a2 from other drugs in the class was based on market-share data for new and existing RRMS patients. Duration of therapy was estimated by analyzing claims for current RRMS therapies. Daily therapy cost was provided by the manufacturer of IB1a2, adjusted for migration from other therapies, and multiplied by estimated volume to predict incremental and total PMPM cost impact. Market-share estimates were used to develop a PMPM cost forecast for the next 2 years. PMPM cost estimates were calculated for preferred (copayment tier 2) and nonpreferred (copayment tier 3) formulary designs with and without prior authorization (PA). One-way sensitivity analysis was performed to assess the influence of product pricing, duration of therapy, and other market factors. RESULTS: Annual incremental PMPM change was $0.047 for the scenario of third copayment tier with PA. The incremental change was greatest for those aged 55 to 65 years ($0.056 PMPM) and did not vary greatly by benefit design. Duration of therapy had the greatest impact on the PMPM estimate across benefit designs. CONCLUSION: IB1a2 will not cause a significant change in managed care pharmacy budgets under a variety of formulary conditions, according to this crosssectional analysis of current care-seeking behavior by RRMS patients. Economic impact may differ if IB1a2 expands RRMS patients. treatment-seeking behavior.

Adjuvants, Immunologic↗

CDtool-an integrated software package for circular dichroism spectroscopic data processing, analysis, and archiving.

CDtool is a software package written to facilitate circular dichroism (CD) spectroscopic studies on both conventional lab-based instruments and synchrotron beamlines. It takes format-independent input data from any type of CD instrument, enables a wide range of standard and advanced processing methods, and, in a single user-friendly graphics-based package, takes raw data through the entire processing procedure and, importantly, uses data-mining techniques to retain in the final output all the information associated with the processing. It permits the facile comparison of data obtained from different instruments without the need for reformatting and displays it in graphical formats suitable for publication. It also includes the ability to automatically archive the processed data. This latter feature may be especially useful in light of recent funding institution directives with regard to data sharing and archiving and requirements for "good practice" and "traceability" within the pharmaceutical industry. In addition, CDtool includes a means of interfacing with protein data bank coordinate files and calculating secondary structures from them using alternate definitions and algorithms. This feature, along with a function that permits the facile production of new reference databases, enables the creation of specialized databases for secondary structural analyses of specific types of proteins. Thus the CDtool software not only enables rapid data processing and analyses but also includes many enhanced features not available in other CD data processing/analysis packages.

Archives↗

Academic medical centers' standards for clinical-trial agreements with industry.

BACKGROUND: Although industry sponsors provide approximately 70 percent of the funding for clinical drug trials in the United States, little is known about the legal agreements that exist between industry sponsors and academic investigators. We studied institutional standards regarding contractual provisions that restrict investigators' control over trials. METHODS: We used a structured, cross-sectional mail survey of medical-school research administrators responsible for negotiating clinical-trial agreements with industry sponsors. RESULTS: Of 122 institutions approached, 107 participated. There was a high degree of consensus among administrators about the acceptability of several contractual provisions relating to publications. For example, more than 85 percent reported that their office would not approve provisions giving industry sponsors the authority to revise manuscripts or decide whether results should be published. There was considerable disagreement about the acceptability of provisions allowing the sponsor to insert its own statistical analyses in manuscripts (24 percent allowed them, 47 percent disallowed them, and 29 percent were not sure whether they should allow them), draft the manuscript (50 percent allowed it, 40 percent disallowed it, and 11 percent were not sure whether they should allow it), and prohibit investigators from sharing data with third parties after the trial is over (41 percent allowed it, 34 percent disallowed it, and 24 percent were not sure whether they should allow it). Disputes were common after the agreements had been signed and most frequently centered on payment (75 percent of administrators reported at least one such dispute in the previous year), intellectual property (30 percent), and control of or access to data (17 percent). CONCLUSIONS: Standards for certain restrictive provisions in clinical-trial agreements with industry sponsors vary considerably among academic medical centers. Greater sharing of information about legal relationships with industry sponsors is desirable in order to build consensus about appropriate standards.

Academic Medical Centers↗

Predictors of sharing drugs among injection drug users in the South Bronx: implications for HIV transmission.

HIV may be transmitted in the process of sharing injected drugs, even if all participants have their own syringes. In an effort to gain understanding of the extent and predictors of drug sharing, data were obtained via personal interviews with 1,024 injection drug users from four neighborhoods in the South Bronx. The relationship between drug-sharing and demographic, sexual, and drug-related variables was first examined in a bivariate analysis, and then via multiple logistic regression. Individuals who split drugs were more likely to be female, have had sex with a casual partner, exchanged sex for drugs or other needs, recently smoked crack cocaine, and shared needles. They were less likely to live or inject at their own home or have used a new needle the last time they injected. In a final logistic model, correlates of drug sharing included trading sex, injecting outside one's home, and using borrowed, rented or shared needles. Despite the lack of significance for gender in the final logistic model, females were at high risk of drug sharing because they constituted the great majority of those who exchanged sex. Continuing research is needed to understand how drug-sharing contributes to the spread of HIV and other infections, as are studies of approaches to reducing drug sharing. Prevention strategists and outreach organizations should be aware of the HIV risks inherent in the widespread practice of drug sharing.

Adult↗

Hepatorenal syndrome: combined liver kidney transplants versus isolated liver transplant.

BACKGROUND: As many as 38% of combined liver-kidney transplant (LKTx) procedures performed nationally may be done for the renal diagnosis of hepatorenal syndrome (HRS). This study was designed to compare the national results with those at our medical center and to determine if combined LKTx provides any benefit over isolated liver transplant (LTx) to HRS patients. METHODS: Data on 29 combined LKTx and 79 HRS patients at our center were collected and compared with the national data on 414 LKTx and 2442 patients with serum creatinine >2.0 mg/dl receiving isolated LTx from 1988 to 1995. RESULTS: United Network of Organ Sharing data revealed 5-year patient survival of 62.2% for LKTx recipients and 50.4% for patients with serum creatinine >2.0 mg/dl receiving isolated LTx (P=0.0001). Our center results demonstrated 5-year patient survival of 48.1% for LKTx patients, 67.1% for HRS patients receiving isolated LTx, and 70.1% for patients with serum creatinine >2.0 mg/dl receiving isolated LTx (P not significant comparing all groups). Intensive care unit status and preoperative dialysis rates were similar in those HRS patients who did and those who did not need future KTx. CONCLUSION: National data would suggest a survival benefit of combined LKTx over isolated LTx for those patients with poor renal function, specifically those with HRS, whereas our center's results suggest otherwise. Unfortunately, we could not identify any preoperative risk factors in the HRS patients, or in the broader group of patients with renal insufficiency at our center, that would indicate the need for future renal transplantation. We believe that HRS patients can be successfully managed with isolated LTx.

Hepatorenal Syndrome↗

Using local authority data for action on health inequalities: the Caerphilly Health and Social Needs Study.

BACKGROUND: Primary care organisations in the United Kingdom have been given new and challenging population health responsibilities to improve health and address health inequality in local communities through partnership working with local authorities. This requires robust health and social needs assessment data for effective local planning. AIM: To assess the use and value of local authority data shared through partnership working between Caerphilly Local Health Group and Caerphilly County Borough Council. DESIGN OF STUDY: Cross-sectional analysis of aggregate electoral division data. SETTING: Caephilly County Borough, south-east Wales. METHOD: Local authority datasets identified were categorised into one of six domains: income, unemployment, housing, health, education, and social services. Data were presented at electoral division level as rates in thematic maps and correlations between the variables within and between each domain were explored using Spearman's rank correlation coefficient, with particular focus on children in families. Local planning documents were scrutinised to ascertain the use and value of the data. RESULTS: A broad range of data described a comprehensive picture of health and social inequalities within the borough. Multiple deprivation tended to cluster in electoral divisions, particularly for data relating to children, painting an overwhelming picture of inequality in life chances. The data were used in a wide range of local partnership planning initiatives, including the Health Improvement Programme, Children's Services Plan, and a successful Healthy Living Centre bid. CONCLUSION: Local authority data can help primary care organisations in a population approach to needs assessment for use in local partnership planning targeted at reducing health inequalities.

Cross-Sectional Studies↗

Establishing maternal and child health data collection priorities for state and local oral health programs.

OBJECTIVE: This paper identifies specific data items for use by state and local agencies in a maternal and child oral health needs assessment model. METHODS: A modified Delphi approach was used to develop consensus on items for inclusion in the data set and their relative importance. Initially, 31 data items were chosen from several national sources. All state dental directors, along with other selected administrators and advisory committee members for this process, were asked to categorize each of the data items as core (essential), important but optional, or of lesser importance. Short comments about each data item were accepted, as were additions to the list of data items. Two rounds of comments were held. RESULTS: Eleven data items/types of information were selected as core items to be included in all needs assessments. All but one of these items were determined by the scores of the respondents. The advisory committee strongly recommended that at least one core item relate to the public's perception of oral health. Some differences in perceived importance of several items existed among the state dental directors, local dental directors, and the advisory committee. Twenty-one items were identified as being important, but optional, and seven were considered less than important and not included in the model data set. CONCLUSIONS: A modified Delphi approach facilitated the development of core and optional data items for a model oral health needs assessment. This model has potential for a common reporting mechanism so that states and local dental programs can share data.

Adolescent↗

Data bank has operational impact. Proper peer review can protect hospitals from antitrust and defamation suits.

The Health Care Quality Improvement Act of 1986 can help protect medical professionals and healthcare facilities from antitrust and defamation claims and other forms of litigation arising from the peer review process. Some hospitals may need to make major changes in their peer review activity as a result of the act. The healthcare entity, not the physicians involved in peer review, has the burden of complying with the provisions of the act. Failure to comply with the act can lead to loss of immunity from damages, fines, and potential exclusion from the Medicare program. The potential for liability has sparked a need for hospitals to reexamine and possibly reorganize medical staff and update procedures and related governing documents. Healthcare entities may consider changes such as implementing a director of medical affairs function, choosing medical staff for multiple-year terms, and centralizing physician review files. In the 1980s many hospitals created quality assurance and risk management programs. Risk managers need to share data with quality assurance personnel, who must in turn share the information with medical staff involved with credentialing, peer review, and medical affairs management. Legal counsel will need to be familiar with the legalities of the act, as well as the hospital's peer review procedures and operations. General legal counsel should oversee coordination of hospital proceedings and assist in educating staff on the legalities of peer review.

Credentialing↗

Integrating Biobanking Into Conservation Practice: The Development and Impact of the EAZA Biobank.

Zoological biobanks are becoming essential tools in conservation, offering a means to preserve genetic material and support in situ population management amid accelerating biodiversity loss. With rapid advances in genomics, cryopreservation, and assisted reproduction technologies, biobanks enable a proactive approach to providing insurance against genetic erosion and facilitating future research, supplementation, and genetic rescue. However, to be effective, zoological biobanks must be purposefully designed, strategically integrated into conservation frameworks such as the Convention on Biological Diversity (CBD) Kunming-Montreal Global Biodiversity Framework (KMGBF), and regularly evaluated for coverage and impact. Using the EAZA Biobank as an example, we outline the structure, development, and collaborative foundations that have enabled its rapid growth, built on community support and conservation impact. Leveraging EAZA's institutional network and data-sharing platforms such as ZIMS, the Biobank employs a decentralized, four-hub model of zoological institutions storing samples. A gap analysis, integrating threat status, breeding programs, genomic data repositories, and phylogenetic diversity, highlights current sampling strengths and deficiencies and guides future collection priorities. The integration of specimen-specific genomic data and the EAZA Biobank Cryonetwork of institutions with expertise in storing and generating gametes and cell lines will expand the Biobank's role in population management and conservation. Zoological biobanks must now evolve alongside advances in biotechnology and genomics. Sample collection strategies should serve conservation needs and anticipate future applications in genomics, cryobiology, and conservation medicine, linking biospecimens with the wealth of data generated from them. This approach should be scalable beyond EAZA, forming the foundation of a global standardized biobanking framework. Ultimately, zoological biobanks are not merely repositories of the past-they are essential infrastructures shaping the future potential of species conservation.

EAZA↗

Virtual spatial registration of stand-alone fNIRS data to MNI space.

The registration of functional brain data to common stereotaxic brain space facilitates data sharing and integration across different subjects, studies, and even imaging modalities. Thus, we previously described a method for the probabilistic registration of functional near-infrared spectroscopy (fNIRS) data onto Montreal Neurological Institute (MNI) coordinate space that can be used even when magnetic resonance images of the subjects are not available. This method, however, requires the careful measurement of scalp landmarks and fNIRS optode positions using a 3D-digitizer. Here we present a novel registration method, based on simulations in place of physical measurements for optode positioning. First, we constructed a holder deformation algorithm and examined its validity by comparing virtual and actual deformation of holders on spherical phantoms and real head surfaces. The discrepancies were negligible. Next, we registered virtual holders on synthetic heads and brains that represent size and shape variations among the population. The registered positions were normalized to MNI space. By repeating this process across synthetic heads and brains, we statistically estimated the most probable MNI coordinate values, and clarified errors, which were in the order of several millimeters across the scalp, associated with this estimation. In essence, the current method allowed the spatial registration of completely stand-alone fNIRS data onto MNI space without the use of supplementary measurements. This method will not only provide a practical solution to the spatial registration issues in fNIRS studies, but will also enhance cross-modal communications within the neuroimaging community.

Adult↗

Health care data in the United States.

This article serves as an introduction to the following article, An Inventory of U.S. Health Care Data Bases. As an introduction, this article-reviews the characteristics of U.lS. Health Care Data. These characteristics include a lack of common definition and uniformity of reporting of observations, systems that are sometimes duplicative, and a resistance to data sharing on the part of collecting agencies, arising from the pluralistic American health care economy. Yet federal, state, and local governments as well as private organizations need health data to operate and evaluate their programs. Moreover, recent shifts to block grants and cutbacks in federal funding without accountability requirements will adversely affect our ability to adequately monitor the impact of these programs on the nation's health. The article discusses these data issues, but also emphasizes the need for coordination between the government and private sectors.

Data Collection↗

What the publisher can teach the patient: intellectual property and privacy in an era of trusted privication.

This article begins with a premise that intellectual property and privacy have something significant and yet understated in common: both are about balancing a creator's desire to control a particular set of data with consumers' desires to access and redistribute that data. Both law and technology influence such balancing, making it more or less palatable to use data for particular purposes--whether one is an individual making a copy of a popular song for a friend, or a hospital selling a list of maternity ward patients to a day care service. In the shadow of the Internet's rapid development and concomitant easing of barriers to data sharing, holders of intellectual property are pairing increased legal protection with the technologies of "trusted systems." I describe how these technologies might allow more thorough mass distribution of data, while allowing publishers to retain unprecedented control over their wares. For instance, an e-Book seller might charge one price for a read-only copy that could not be printed or forwarded and charge an additional fee for each copy or printout made. Taking up the case of medical privacy, I then suggest that those who worry about the confidentiality of medical records, particularly as they are digitized by recent congressional mandate, might seek to augment comparatively paltry legal protections with trusted systems technologies. For instance, a trusted system could allow a patient to specify how and by whom her records could be used; within limits, she could allow full access to her primary care physician, while allowing only time-limited access to emergency care providers, non-personally identifiable access to medical researchers, and no access at all for marketing purposes. These technologies could allow for new kinds of privacy protection, without sacrificing the legitimate interests of the consumers of medical records.

Humans↗

Development of the Crash Injury Research and Engineering Network.

The Crash Injury Research and Engineering Network has developed a computer database and wide area network for data sharing and analysis among 8 trauma centers. The computer database extends the National Highway Traffic Safety Administration's National Automotive Sampling System with medical- and trauma-related variables in a relational/object database system. The medical data include injury location details, injury subclassification systems, and medical images for better biomechanical injury evaluation. Key data elements are migrated to a core repository so that all centers can review the status of case acquisition across the network. Cases, whole or in part, may be migrated between centers so that individual center expertise may be shared in evaluating the cause of injury. Electronic rounds, where cases are reviewed simultaneously across multiple centers, are possible.

Accidents, Traffic↗

Estimation of dietary exposure to chemicals: a case study illustrating methods of distributional analyses for food consumption data.

There are a number of sources of variability in food consumption patterns and residue levels of a particular chemical (e.g., pesticide, food additive) in commodities that lead to an expected high level of variability in dietary exposures across a population. This paper focuses on examples of consumption pattern survey data for specific commodities, namely that for wine and grape juice, and demonstrates how such data might be analyzed in preparation for performing stochastic analyses of dietary exposure. Data from the NIAAA/NHIS wine consumption survey were subset for gender and age group and, with matched body weight data from the survey database, were used to define empirically-based percentile estimates for wine intake (microliter wine/kg body weight) for the strata of interest. The data for these two subpopulations were analyzed to estimate 14-day consumption distributional statistics and distributions for only those days on which wine was consumed. Data subsets for all wine-consuming adults and wine-consuming females ages 18 through 45, were determined to fit a lognormal distribution (R2 = 0.99 for both datasets). Market share data were incorporated into estimation of chronic exposures to hypothetical chemical residues in imported table wine. As a separate example, treatment of grape juice consumption data for females, ages 18-40, as a simple lognormal distribution resulted in a significant underestimation of intake, and thus exposure, because the actual distribution is a mixture (i.e., multiple subpopulations of grape juice consumers exist in the parent distribution). Thus, deriving dietary intake statistics from food consumption survey data requires careful analysis of the underlying empirical distributions.

Adolescent↗

Hand-held computer operating system program for collection of resident experience data.

OBJECTIVE: To describe a system for recording resident experience involving hand-held computers with the Palm Operating System (3 Com, Inc., Santa Clara, CA). PROGRAM DESCRIPTION: Hand-held personal computers (PCs) are popular, easy to use, inexpensive, portable, and can share data among other operating systems. Residents in our program carry individual hand-held database computers to record Residency Review Committee (RRC) reportable patient encounters. Each resident's data is transferred to a single central relational database compatible with Microsoft Access (Microsoft Corporation, Redmond, WA). Patient data entry and subsequent transfer to a central database is accomplished with commercially available software that requires minimal computer expertise to implement and maintain. The central database can then be used for statistical analysis or to create required RRC resident experience reports. As a result, the data collection and transfer process takes less time for residents and program director alike, than paper-based or central computer-based systems. CONCLUSION: The system of collecting resident encounter data using hand-held computers with the Palm Operating System is easy to use, relatively inexpensive, accurate, and secure. The user-friendly system provides prompt, complete, and accurate data, enhancing the education of residents while facilitating the job of the program director.

Computer Communication Networks↗

Structured documentation.

Structured documentation is a concept-oriented method of capturing clinical information that can be shared readily through automated systems. Standards are evolving for controlled vocabularies that are applicable to various aspects of clinical medicine. Vocabulary expressiveness and the significant preparatory work needed to use structured terms are hindrances to the rapid acceptance of these tools; however, the benefits of increased efficiencies, data sharing, and automated triggers may outweigh the cost of these hindrances. Understanding the basic principles of structured documentation and defining the use of the structured data within a practice allows an organization to select a tool that most closely fits its needs.

Documentation↗