Improved management of lysosomal glucosylceramide levels in a mouse model of type 1 Gaucher disease using enzyme and substrate reduction therapy is a research paper published in Journal of Inherited Metabolic Disease (2010). On theSindex it has a DataRank of 2.2. It has been cited 45 times, with 39 citing works in its 1-hop citation network.
AbstractGaucher disease is caused by a deficiency of the lysosomal enzyme glucocerebrosidase (acid β‐glucosidase), with consequent cellular accumulation of glucosylceramide (GL‐1). The disease is managed by intravenous administrations of recombinant glucocerebrosidase (imiglucerase), although symptomatic patients with mild to moderate type 1 Gaucher disease for whom enzyme replacement therapy (ERT) is not an option may also be treated by substrate reduction therapy (SRT) with miglustat. To determine whether the sequential use of both ERT and SRT may provide additional benefits, we compared the relative pharmacodynamic efficacies of separate and sequential therapies in a murine model of Gaucher disease (D409V/null). As expected, ERT with recombinant glucocerebrosidase was effective in reducing the burden of GL‐1 storage in the liver, spleen, and lung of 3‐month‐old Gaucher mice. SRT using a novel inhibitor of glucosylceramide synthase (Genz‐112638) was also effective, albeit to a lesser degree than ERT. Animals administered recombinant glucocerebrosidase and then Genz‐112638 showed the lowest levels of GL‐1 in all the visceral organs and a reduced number of Gaucher cells in the liver. This was likely because the additional deployment of SRT following enzyme therapy slowed the rate of reaccumulation of GL‐1 in the affected organs. Hence, in patients whose disease has been stabilized by intravenously administered recombinant glucocerebrosidase, orally administered SRT with Genz‐112638 could potentially be used as a convenient maintenance therapy. In patients naïve to treatment, ERT followed by SRT could potentially accelerate clearance of the offending substrate.
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Base Score Contribution
0.574
From this paper's citation signal
Citation Network Contribution
1.6
From 38 citing papers with measurable signal
DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 26% comes from its base citations and 74% from the citation network (38 citing papers contributed measurable signal).
Citers are pulled from OpenAlex sorted by cited_by_count:descand capped per paper, so when the cap binds we keep the highest-signal references and the score is reproducible across reruns.
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