Individuals with ultrarare disorders pose a structural challenge for healthcare systems since expert clinical knowledge is required to establish diagnoses. In TRANSLATE NAMSE, a 3-year prospective study, we evaluated a novel diagnostic concept based on multidisciplinary expertise in Germany. Here we present the systematic investigation of the phenotypic and molecular genetic data of 1,577 patients who had undergone exome sequencing and were partially analyzed with next-generation phenotyping approaches. Molecular genetic diagnoses were established in 32% of the patients totaling 370 distinct molecular genetic causes, most with prevalence below 1:50,000. During the diagnostic process, 34 novel and 23 candidate genotype–phenotype associations were identified, mainly in individuals with neurodevelopmental disorders. Sequencing data of the subcohort that consented to computer-assisted analysis of their facial images with GestaltMatcher could be prioritized more efficiently compared with approaches based solely on clinical features and molecular scores. Our study demonstrates the synergy of using next-generation sequencing and phenotyping for diagnosing ultrarare diseases in routine healthcare and discovering novel etiologies by multidisciplinary teams.

Amyotrophic lateral sclerosis (ALS) is an invariably fatal neurodegenerative disease with limited therapeutic options. There is an urgent need for novel biomarkers to be used as surrogates for new therapeutic trials and disease monitoring. In this study, we sought to systematically study creatine kinase isoenzyme MB (CK-MB) in a real-world cohort of ALS patients, assess the diagnostic performance, and evaluate its association with other laboratory and clinical parameters. We reviewed data from 194 consecutive patients that included 130 ALS patients and 64 disease control patients (primary lateral sclerosis [PLS], benign fasciculations syndrome [BFS], Huntington’s disease [HD] and Alzheimer’s disease [AD]). CK-MB was elevated in the sera of more than half of all patients with ALS. In patients with spinal-onset ALS, CK-MB levels were significantly higher than in patients with other neurodegenerative diseases. Patients with slower rates of functional decline had a significantly higher baseline CK-MB. Furthermore, CK-MB elevations correlated with cardiac troponin T (cTnT) and with revised ALS Functional Rating Scale (ALSFRS-R) bulbar subcategory. We posit that measuring CK-MB in ALS patients in a complimentary fashion could potentially aid in the diagnostic workup of ALS and help discriminate the disease from some ALS mimics and other neurodegenerative diseases. CK-MB levels also may provide valuable prognostic information regarding disease aggressiveness as well as correlations with specific phenotypic presentations.

Background: There is a dearth of information about “brain fog,” characterized by concentration, word-finding, or memory problems, which has been listed in the new World Health Organization provisional classification “U09.9 Post-COVID-19 Condition.” Moreover, the extent to which these symptoms may be associated with neurological, pulmonary, or psychiatric difficulties is unclear. Objective: This ongoing cohort study aims to carefully assess neurocognitive function in the context of the neurological, psychiatric, and pulmonary sequelae of SARS-CoV-2 infection among patients with asymptomatic/mild and severe cases of COVID-19 after remission, including actively recruited healthy controls. Methods: A total of 150 participants will be included in this pilot study. The cohort will comprise patients who tested positive for SARS-CoV-2 infection with either an asymptomatic course or a mild course defined as no symptoms except for olfactory and taste dysfunction (n=50), patients who tested positive for SARS-CoV-2 infection with a severe disease course (n=50), and a healthy control group (n=50) with similar age and sex distribution based on frequency matching. A comprehensive neuropsychological assessment will be performed comprising nuanced aspects of complex attention, including language, executive function, verbal and visual learning, and memory. Psychiatric, personality, social and lifestyle factors, sleep, and fatigue will be evaluated. Brain magnetic resonance imaging, neurological and physical assessment, and pulmonological and lung function examinations (including body plethysmography, diffusion capacity, clinical assessments, and questionnaires) will also be performed. Three visits are planned with comprehensive testing at the baseline and 12-month visits, along with brief neurological and neuropsychological examinations at the 6-month assessment. Blood-based biomarkers of neurodegeneration will be quantified at baseline and 12-month follow-up. Results: At the time of submission, the study had begun recruitment through telephone and in-person screenings. The first patient was enrolled in the study at the beginning of April 2021. Interim data analysis of baseline information is expected to be complete by December 2021 and study completion is expected at the end of December 2022. Preliminary group comparisons indicate worse word list learning, short- and long-delayed verbal recall, and verbal recognition in both patient cohorts compared with those of the healthy control group, adjusted for age and sex. Initial volumetric comparisons show smaller grey matter, frontal, and temporal brain volumes in both patient groups compared with those of healthy controls. These results are quite robust but are neither final nor placed in the needed context intended at study completion. Conclusions: To the best of our knowledge, this is the first study to include objective and comprehensive longitudinal analyses of neurocognitive sequelae of COVID-19 in an extreme group comparison stratified by disease severity with healthy controls actively recruited during the pandemic. Results from this study will contribute to the nascent literature on the prolonged effects of COVID-19 on neurocognitive performance via our coassessment of neuroradiological, neurological, pulmonary, psychiatric, and lifestyle factors. Trial Registration: International Clinical Trials Registry Platform DRKS00023806; https://trialsearch.who.int/Trial2.aspx?TrialID=DRKS00023806 International Registered Report Identifier (IRRID): DERR1-10.2196/30259

Introduction/Aims: Cardiac troponin T (cTnT) levels are elevated in the majority of persons with amyotrophic lateral sclerosis (ALS) and increase over time. Neurofilament light chain (NfL) is an established therapy response biomarker in ALS as superoxide dismutase1 (SOD1)‐ALS patients treated with the antisense oligonucleotide tofersen show a decrease in NfL. In this study, we assess cTnT levels in SOD1‐ALS at baseline and during tofersen treatment.Methods: cTnT was analyzed at baseline and during tofersen treatment in 23 SOD1‐ALS patients at two specialized ALS centers in Germany and compared to a control cohort of 74 ALS patients without SOD1 variants.Results: cTnT levels increased in the control ALS cohort over time (p < 0.0001) but not in the tofersen group (p = 0.36). Creatine kinase (CK) and CK‐MB levels did not show significant changes over time. The median monthly increase of cTnT was 0.045 points (IQR 0.02–0.08) in the control ALS cohort and 0.01 points (IQR −0.01–0.03) in the tofersen group (p = 0.0013). A significantly lower fold change in cTnT levels was observed in the tofersen‐treated cohort (median 1.2; IQR 0.77–1.59) relative to the control group (median 1.89; IQR 1.35–2.75) (p = 0.0003). Nine (39%) patients treated with tofersen experienced a reduction in cTnT levels.Discussion: In this study, we describe a response signal of cTnT to tofersen treatment, which supports the value of cTnT as an independent biomarker in ALS. These results contribute to the notion that cTnT may provide additional value as a progression and treatment response biomarker in ALS complementary to NfL and warrant further investigation.

Most individuals with rare diseases initially consult their primary care physician. For a subset of rare diseases, efficient diagnostic pathways are available. However, ultra-rare diseases often require both expert clinical knowledge and comprehensive genetic diagnostics, which poses structural challenges for public healthcare systems. To address these challenges within Germany, a novel structured diagnostic concept, based on multidisciplinary expertise at established university hospital centers for rare diseases (CRDs), was evaluated in the three year prospective study TRANSLATE NAMSE. A key goal of TRANSLATE NAMSE was to assess the clinical value of exome sequencing (ES) in the ultra-rare disease population. The aims of the present study were to perform a systematic investigation of the phenotypic and molecular genetic data of TRANSLATE NAMSE patients who had undergone ES in order to determine the yield of both ultra-rare diagnoses and novel gene-disease associations; and determine whether the complementary use of machine learning and artificial intelligence (AI) tools improved diagnostic effectiveness and efficiency. ES was performed for 1,577 patients (268 adult and 1,309 pediatric). Molecular genetic diagnoses were established in 499 patients (74 adult and 425 pediatric). A total of 370 distinct molecular genetic causes were established. The majority of these concerned known disorders, most of which were ultra-rare. During the diagnostic process, 34 novel and 23 candidate genotype-phenotype associations were delineated, mainly in individuals with neurodevelopmental disorders. To determine the likelihood that ES will lead to a molecular diagnosis in a given patient, based on the respective clinical features only, we developed a statistical framework called YieldPred. The genetic data of a subcohort of 224 individuals that also gave consent to the computer-assisted analysis of their facial images were processed with the AI tool Prioritization of Exome Data by Image Analysis (PEDIA) and showed superior performance in variant prioritization. The present analyses demonstrated that the novel structured diagnostic concept facilitated the identification of ultra-rare genetic disorders and novel gene-disease associations on a national level and that the machine learning and AI tools improved diagnostic effectiveness and efficiency for ultra-rare genetic disorders.

Introduction Serum cardiac troponin T (cTnT) levels are elevated in the majority of amyotrophic lateral sclerosis (ALS) patients and increase over time. Neurofilament light chain (NfL) is an established therapy response biomarker in ALS as superoxide dismutase 1 (SOD1)-ALS patients treated with the antisense oligonucleotide tofersen show a decrease in NfL. In this study we assess the course of cTnT levels in SOD1-ALS at baseline and during tofersen treatment. Methods Serum cTnT was analyzed at baseline and during tofersen treatment in 23 SOD1-ALS patients at two specialized ALS centers in Germany and compared to a control cohort of 74 ALS patients without SOD1-mutations and not treated with tofersen. Results cTnT levels increased in the control ALS-cohort over time (p<0.0001) but not in the tofersen group (p=0.36). CK, and CK-MB levels did not show relevant changes over time. The median monthly increase of cTnT was 0.045 points (IQR 0.02-0.08) in the control ALS cohort and 0.01 points (IQR −0.01-0.03) in the tofersen group (p=0.0013). The fold change in cTnT levels of the tofersen-treated cohort (median 1.2; IQR 0.77-1.59) was significantly less and even showed a reduction in some patients compared to the control group (median 1.89; IQR 1.35-2.75) (p=0.0003). Discussion In this study, we find a response signal of cTnT to tofersen treatment, which supports the value of cTnT as an independent biomarker in ALS. These results contribute to the notion that cTnT may provide additional value as a progression and treatment response biomarker in ALS complementary to NfL and warrant further investigations.