The battlefield of rare diseases: where uncommon insights are common

Childhood rare diseases and the UN convention on the rights of the child

This letter discusses an initiative that considered the rights of a child living with a rare disease in the context of the United Nations Convention on the Rights of the Child (UNCRC). The aim was to inform laypeople on the intersection between the UNCRC and rare and undiagnosed diseases. The Project was initiated in Western Australia for a national audience, with a view that it might also provide a framework that is translatable to other jurisdictions internationally. This letter discusses some of the key themes raised by the Project and the potential for further work.

A Rare Kidney Disease To Cure Them All? Towards Mechanism-Based Therapies for Proteinopathies

Autosomal dominant tubulointerstitial kidney diseases (ADTKDs) are a group of rare genetic diseases that lead to kidney failure. Mutations in the MUC1 gene cause ADTKD-MUC1 (MUC1 kidney disease, MKD), a disorder with no available therapies. Recent studies have identified the molecular and cellular mechanisms that drive MKD disease pathogenesis. Armed with patient-derived cell lines and pluripotent stem cell (iPSC)-derived kidney organoids, it was found that MKD is a toxic proteinopathy caused by the intracellular accumulation of misfolded MUC1 protein in the early secretory pathway. We discuss the advantages of studying rare monogenic kidney diseases, describe effective patient-derived model systems, and highlight recent mechanistic insights into protein quality control that have implications for additional proteinopathies beyond rare kidney diseases.

The case for open science: rare diseases

The premise of Open Science is that research and medical management will progress faster if data and knowledge are openly shared. The value of Open Science is nowhere more important and appreciated than in the rare disease (RD) community. Research into RDs has been limited by insufficient patient data and resources, a paucity of trained disease experts, and lack of therapeutics, leading to long delays in diagnosis and treatment. These issues can be ameliorated by following the principles and practices of sharing that are intrinsic to Open Science. Here, we describe how the RD community has adopted the core pillars of Open Science, adding new initiatives to promote care and research for RD patients and, ultimately, for all of medicine. We also present recommendations that can advance Open Science more globally.

Digit-all: Rare Diseases

Rare diseases are increasingly recognised as a global public health priority and contribute to significant and disproportionately high health system impacts. Accordingly, they present clinical and public health challenges, as well as opportunities for digital health solutions across the lifespan, including improved diagnosis, treatment, navigation and care coordination, and integration and coordination for broader societal and patient wellbeing. People living with rare diseases, individually and cumulatively, are digital disruptors. In this manuscript the authors describe some of the unique dynamics of the rare disease domain as they currently, or have the potential to in the future, apply to digital health; highlight some recent international rare diseases digital health initiatives; and touch upon implications for those with more common disorders.

Darier disease is associated with heart failure: a cross-sectional case-control and population based study

Human data supporting a role for endoplasmic reticulum (ER) stress and calcium dyshomeostasis in heart disease is scarce. Darier disease (DD) is a hereditary skin disease caused by mutations in the ATP2A2 gene encoding the sarcoendoplasmic-reticulum Ca2⁺ ATPase isoform 2 (SERCA2), which causes calcium dyshomeostasis and ER stress. We hypothesized that DD patients would have an increased risk for common heart disease. We performed a cross-sectional case-control clinical study on 25 DD patients and 25 matched controls; and a population-based cohort study on 935 subjects with DD and matched comparison subjects. Main outcomes and measures were N-terminal pro-brain natriuretic peptide, ECG and heart diagnosis (myocardial infarction, heart failure and arrythmia). DD subjects showed normal clinical heart phenotype including heart failure markers and ECG. The risk for heart failure was 1.59 (1,16-2,19) times elevated in DD subjects, while no major differences were found in myocardial infarcation or arrhythmias. Risk for heart failure when corrected for cardivascular risk factors or alcohol misuse was 1.53 (1.11–2.11) and 1.58 (1,15–2,18) respectively. Notably, heart failure occurred several years earlier in DD patients as compared to controls. We conclude that DD patients show a disease specific increased risk of heart failure which should be taken into account in patient management. The observation also strenghtens the clinical evidence on the important role of SERCA2 in heart failure pathophysiology.

Challenges in Research and Health Technology Assessment of Rare Disease Technologies: Report of the ISPOR Rare Disease Special Interest Group

BACKGROUND

Successful development of new treatments for rare diseases (RDs) and their sustainable patient access require overcoming a series of challenges related to research and health technology assessment (HTA). These impediments, which may be unique to RDs or also apply to common diseases but are particularly pertinent in RDs, are diverse and interrelated.

OBJECTIVE

To develop for the first time a catalog of primary impediments to RD research and HTA, and to describe the cause and effect of individual challenges.

METHODS

Challenges were identified by an international 22-person expert working group and qualitative outreach to colleagues with relevant expertise. A broad range of stakeholder perspectives is represented. Draft results were presented at annual European and North American International Society for Pharmacoeconomics and Outcomes Research (ISPOR) congresses, and written comments were received by the 385-strong ISPOR Rare Disease Review Group from two rounds of review. Findings were refined and confirmed via targeted literature search.

RESULTS

Research-related challenges linked to the low prevalence of RDs were categorized into those pertaining to disease recognition and diagnosis, evaluation of treatment effect, and patient recruitment for clinical research. HTA-related challenges were classified into issues relating to the lack of a tailored HTA method for RD treatments and uncertainty for HTA agencies and health care payers.

CONCLUSIONS

Identifying and highlighting diverse, but interrelated, key challenges in RD research and HTA is an essential first step toward developing implementable and sustainable solutions. A collaborative multistakeholder effort is required to enable faster and less costly development of safe, efficacious, and appropriate new RD therapies that offer value for money.

3-Dimensional Facial Analysis-Facing Precision Public Health

Precision public health is a new field driven by technological advances that enable more precise descriptions and analyses of individuals and population groups, with a view to improving the overall health of populations. This promises to lead to more precise clinical and public health practices, across the continuum of prevention, screening, diagnosis, and treatment. A phenotype is the set of observable characteristics of an individual resulting from the interaction of a genotype with the environment. Precision (deep) phenotyping applies innovative technologies to exhaustively and more precisely examine the discrete components of a phenotype and goes beyond the information usually included in medical charts. This form of phenotyping is a critical component of more precise diagnostic capability and 3-dimensional facial analysis (3DFA) is a key technological enabler in this domain. In this paper, we examine the potential of 3DFA as a public health tool, by viewing it against the 10 essential public health services of the “public health wheel,” developed by the US Centers for Disease Control. This provides an illustrative framework to gage current and emergent applications of genomic technologies for implementing precision public health.

Applying Precision Public Health to Prevent Preterm Birth

Preterm birth (PTB) is one of the major health-care challenges of our time. Being born too early is associated with major risks to the child with potential for serious consequences in terms of life-long disability and health-care costs. Discovering how to prevent PTB needs to be one of our greatest priorities. Recent advances have provided hope that a percentage of cases known to be related to risk factors may be amenable to prevention; but the majority of cases remain of unknown cause, and there is little chance of prevention. Applying the principle of precision public health may offer opportunities previously unavailable. Presented in this article are ideas that may improve our abilities in the fields of studying the effects of migration and of populations in transition, public health programs, tobacco control, routine measurement of length of the cervix in mid-pregnancy by ultrasound imaging, prevention of non-medically indicated late PTB, identification of pregnant women for whom treatment of vaginal infection may be of benefit, and screening by genetics and other “omics.” Opening new research in these fields, and viewing these clinical problems through a prism of precision public health, may produce benefits that will affect the lives of large numbers of people.

Improved Diagnosis and Care for Rare Diseases through Implementation of Precision Public Health Framework

Public health relies on technologies to produce and analyse data, as well as effectively develop and implement policies and practices. An example is the public health practice of epidemiology, which relies on computational technology to monitor the health status of populations, identify disadvantaged or at risk population groups and thereby inform health policy and priority setting. Critical to achieving health improvements for the underserved population of people living with rare diseases is early diagnosis and best care. In the rare diseases field, the vast majority of diseases are caused by destructive but previously difficult to identify protein-coding gene mutations. The reduction in cost of genetic testing and advances in the clinical use of genome sequencing, data science and imaging are converging to provide more precise understandings of the 'person-time-place' triad. That is: who is affected (people); when the disease is occurring (time); and where the disease is occurring (place). Consequently we are witnessing a paradigm shift in public health policy and practice towards 'precision public health'.Patient and stakeholder engagement has informed the need for a national public health policy framework for rare diseases. The engagement approach in different countries has produced highly comparable outcomes and objectives. Knowledge and experience sharing across the international rare diseases networks and partnerships has informed the development of the Western Australian Rare Diseases Strategic Framework 2015-2018 (RD Framework) and Australian government health briefings on the need for a National plan.The RD Framework is guiding the translation of genomic and other technologies into the Western Australian health system, leading to greater precision in diagnostic pathways and care, and is an example of how a precision public health framework can improve health outcomes for the rare diseases population.Five vignettes are used to illustrate how policy decisions provide the scaffolding for translation of new genomics knowledge, and catalyze transformative change in delivery of clinical services. The vignettes presented here are from an Australian perspective and are not intended to be comprehensive, but rather to provide insights into how a new and emerging 'precision public health' paradigm can improve the experiences of patients living with rare diseases, their caregivers and families.The conclusion is that genomic public health is informed by the individual and family needs, and the population health imperatives of an early and accurate diagnosis; which is the portal to best practice care. Knowledge sharing is critical for public health policy development and improving the lives of people living with rare diseases.

Gaucher disease and comorbidities: B-cell malignancy and parkinsonism

Data emerging from the International Collaborative Gaucher Group (ICGG) Gaucher Registry together with other contemporary clinical surveys have revealed a close association between Gaucher disease and non-Hodgkin's B-cell lymphoma and myeloma and Gaucher disease and Parkinson's disease. Several possible explanations for increased B-cell proliferation and neoplasia in Gaucher disease have been proposed, including the possible influence of sphingosine (derived from the extra lysosomal metabolism of glucosylceramide), gene modifiers, splenectomy and immune system deregulation induced by cytokines, chemokines, and hydrolases released from Gaucher cells. Parkinson's disease is frequently seen in the otherwise-healthy relatives of Gaucher disease patients leading to the finding that GBA mutations represent a genetic risk factor for Parkinson's disease. The mechanism of the association between GBA mutations and Parkinson's disease has yet to be elucidated but the pathogenesis appears distinct from that of Gaucher disease. Several pathogenic pathways have been proposed including lysosomal and/or mitochondrial dysfunction. The effect of Gaucher disease specific therapies on the incidence of cancer or Parkinson's disease are not clear and will likely be evaluated in future ICGG Gaucher Registry studies.

Validity of participant-reported diagnoses in an online patient registry: a report from the NF1 Patient Registry Initiative

BACKGROUND

With increased internet accessibility worldwide, it is now possible to assemble individuals with rare diseases through web-based patient registries. However, the validity of participant-reported medical diagnoses is unknown. The objective of this study was to evaluate the accuracy of participant-reported Neurofibromatosis Type 1 (NF1) diagnoses among participants in the NF1 Patient Registry Initiative (NPRI).

METHODS

Subjects enrolled in the NPRI from 5/17/2011 to 7/7/2014 were included. Medical records (MRs) were obtained for participants who returned medical record release forms (MRRFs) during the study period. Participants were classified as having definite, probable, suspected, or no NF1 diagnosis based on MR information. To assess whether a returned MRRF served as a reliable marker of MR-documented NF1, we calculated the positive predictive value (PPV) as the proportion of individuals with MR-documented NF1 among those from whom MRs were obtained. We further examined whether a returned MRRF predicted the number of reported NF1 clinical signs in multivariable linear regression analyses.

RESULTS

A total of 1456 individuals were included in the analyses. Of 416 individuals who returned MRRFs, 205 MRs were reviewed within the study period. The PPV ranged from 72.0 to 98.5% when including definite or definite/probable/suspected cases, respectively. The mean number of reported NF1 clinical signs was similar between those who returned (mean=3.3 ± 1.2) and did not return (mean=3.2 ± 1.3) their MRRFs. MRRF return was not a significant predictor of the number of NF1 clinical signs after adjusting for covariates.

CONCLUSION

These data strongly suggest that individuals enrolling in the NPRI accurately report their NF1 diagnosis.

Important role of translational science in rare disease innovation, discovery, and drug development

Rare diseases play a leading role in innovation and the advancement of medical and pharmaceutical science. Most rare diseases are genetic disorders or atypical manifestations of infectious, immunologic, or oncologic diseases; they all provide opportunities to study extremes of human pathology and provide insight into both normal and aberrant physiology. Recently, drug development has become increasingly focused on classifying diseases largely on genetic grounds; this has allowed the identification of molecularly defined targets and the development of targeted therapies. Clinical trials are now focusing on progressively smaller subgroups within both common and rare disease populations, often based on genetic tests or biomarkers. Drug developers, researchers, and regulatory agencies face a variety of challenges throughout the life cycle of drug research and development for rare diseases. These include the small numbers of patients available for study, lack of knowledge of the disease's natural history, incomplete understanding of the basic mechanisms causing the disorder, and variability in disease severity, expression, and course. Traditional approaches to rare disease clinical research have not kept pace with advances in basic science, and increased attention to translational science is needed to address these challenges, especially diagnostic testing, registries, and novel trial designs.