Background and objective Primary ciliary dyskinesia (PCD) is a rare and genetically heterogeneous disease and the severity of the disease related with genetic analysis has been described in some previous studies. The main aim of our study was to describe the clinical characteristics and laboratory findings of patients with genetically diagnosed PCD and to investigate the correlation between clinical, radiologic, and laboratory findings and genetic analyses of these patients. Method This is a cohort study in which we analyzed the clinical characteristics, laboratory findings, and genetic results of 46 patients with genetically diagnosed PCD through whole‐exome sequencing at our single center from a total of 265 patients with PCD within a 5‐year period. Results Genetic analysis revealed pathogenic variants in DNAH5 (n = 12 individuals, 12 families), CCDC40 (n = 9 individuals, six families), RSPH4A (n = 5 individuals, three families), DNAH11 (n = 4 individuals, four families), HYDIN (n = 5 individuals, five families), CCNO (n = 4 individuals, four families), DNAI1 (n = 2 individuals, one family), ARMC4 (n = 2 individuals, two families), TTC25 (n = 1), DNAH1 (n = 1), and CCDC39 (n = 1) genes. Although not statistically significant, the age at diagnosis was lower (median: 3 years; range, 6 months‐4 years) in patients with CCNO pathogenic variants due to the early reporting of symptoms, and the median body mass index (BMI) and BMI z scores were lower in patients at 18.7 and 16 kg/m2, and −0.78 and −1.2 with CCDC40 and CCNO pathogenic variants, respectively. The median forced expiratory flow in 1 second (FEV1%), forced vital capacity (FVC%), and forced expiratory flow (FEF)25‐75% were 53%, 64%, and 28%, respectively; these parameters were also lower in the CCDC40 group than in the other groups. There was no significant correlation between the genetic results and symptoms, radiologic findings, and microbiologic data of patients with PCD. Conclusion In PCD, there was significant heterogeneity of lung disease, patients who had pathogenic variants in CCNO presented earlier, and those with CCDC40 and CCNO had worse lung disease, and poorer nutritional status compared with the other subgroups. We hope that whole genotype‐phenotype and clinical relationships will be identified in PCD.

BackgroundAutosomal recessive polycystic kidney disease (ARPKD) is a rare but frequently severe disorder that is typically characterized by cystic kidneys and congenital hepatic fibrosis but displays pronounced phenotypic heterogeneity. ARPKD is among the most important causes for pediatric end stage renal disease and a leading reason for liver-, kidney- or combined liver kidney transplantation in childhood. The underlying pathophysiology, the mechanisms resulting in the observed clinical heterogeneity and the long-term clinical evolution of patients remain poorly understood. Current treatment approaches continue to be largely symptomatic and opinion-based even in most-advanced medical centers. While large clinical trials for the frequent and mostly adult onset autosomal dominant polycystic kidney diseases have recently been conducted, therapeutic initiatives for ARPKD are facing the challenge of small and clinically variable cohorts for which reliable end points are hard to establish.Methods/DesignARegPKD is an international, mostly European, observational study to deeply phenotype ARPKD patients in a pro- and retrospective fashion. This registry study is conducted with the support of the German Society for Pediatric Nephrology (GPN) and the European Study Consortium for Chronic Kidney Disorders Affecting Pediatric Patients (ESCAPE Network). ARegPKD clinically characterizes long-term ARPKD courses by a web-based approach that uses detailed basic data questionnaires in combination with yearly follow-up visits. Clinical data collection is accompanied by associated biobanking and reference histology, thus setting roots for future translational research.DiscussionThe novel registry study ARegPKD aims to characterize miscellaneous subcohorts and to compare the applied treatment options in a large cohort of deeply characterized patients. ARegPKD will thus provide evidence base for clinical treatment decisions and contribute to the pathophysiological understanding of this severe inherited disorder.

No abstract

There are more than 8000 rare diseases (RDs) that affect >5 % of the world’s population. Many of the RDs have no effective treatment and lack of knowledge creates delayed diagnosis making management difficult. The emerging concept of the personalized medicine allows for early screening, diagnosis, and individualized treatment of human diseases. In this context, the discovery of biomarkers in RDs will be of prime importance to enable timely prevention and effective treatment. Since 80 % of RDs are of genetic origin, identification of new genes and causative mutations become valuable biomarkers. Furthermore, dynamic markers such as expressed genes, metabolites, and proteins are also very important to follow prognosis and response the therapy. Recent advances in omics technologies and their use in combination can define pathophysiological pathways that can be drug targets. Biomarker discovery and their use in diagnosis in RDs is a major pillar in RD research.

No abstract