Management, vaccination status and COVID-19 morbidity of patients with Gaucher disease in Germany during the COVID-19 pandemic.

BACKGROUND: Continuation of standard management of Gaucher disease (GD) has been challenging during the COVID-19 pandemic, resulting in infrequent/missed infusions and follow-up appointments. Little data are available on the consequences of these changes and on the SARS-CoV-2 vaccinations in German GD patients. METHODS: A survey with 22 questions about GD management during the pandemic was sent to 19 German Gaucher centres. It was answered by 11/19 centres caring for 257 GD patients (almost ¾ of the German GD population); 245 patients had type 1 and 12 had type 3 GD; 240 were ≥ 18 years old. RESULTS: Monitoring intervals were prolonged in 8/11 centres from a median of 9 to 12 months. Enzyme replacement therapy (ERT) was changed to home ERT in 4 patients and substituted by oral substrate reduction therapy (SRT) in 6 patients. From March 2020 to October 2021, no serious complications of GD were documented. Only 4 SARS-CoV-2 infections were reported (1.6%). Two infections were asymptomatic and two mild; all occurred in adult type 1, non-splenectomized patients on ERT. Vaccination rate in adult GD was 79.5% (95.3% mRNA vaccines). Serious vaccination complications were not reported. CONCLUSIONS: The COVID-19 pandemic has lowered the threshold for switching from practice- or hospital-based ERT to home therapy or to SRT. No major GD complication was documented during the pandemic. Infection rate with SARS-CoV-2 in GD may rather be lower than expected, and its severity is mild. Vaccination rates are high in GD patients and vaccination was well tolerated.

aRgus: Multilevel visualization of non-synonymous single nucleotide variants & advanced pathogenicity score modeling for genetic vulnerability assessment.

The widespread use of high-throughput sequencing techniques is leading to a rapidly increasing number of disease-associated variants of unknown significance and candidate genes. Integration of knowledge concerning their genetic, protein as well as functional and conservational aspects is necessary for an exhaustive assessment of their relevance and for prioritization of further clinical and functional studies investigating their role in human disease. To collect the necessary information, a multitude of different databases has to be accessed and data extraction from the original sources commonly is not user-friendly and requires advanced bioinformatics skills. This leads to a decreased data accessibility for a relevant number of potential users such as clinicians, geneticist, and clinical researchers. Here, we present aRgus (https://argus.urz.uni-heidelberg.de/), a standalone webtool for simple extraction and intuitive visualization of multi-layered gene, protein, variant, and variant effect prediction data. aRgus provides interactive exploitation of these data within seconds for any known gene of the human genome. In contrast to existing online platforms for compilation of variant data, aRgus complements visualization of chromosomal exon-intron structure and protein domain annotation with ClinVar and gnomAD variant distributions as well as position-specific variant effect prediction score modeling. aRgus thereby enables timely assessment of protein regions vulnerable to variation with single amino acid resolution and provides numerous applications in variant and protein domain interpretation as well as in the design of in vitro experiments.