Evidence map›Paper›PMID 41862552›Full record

ArticleScientific reports2026

Cysteine-reactive mitigators of small vessel disease-related NOTCH3 mutants.

Naw May Pearl Cartee, Xiaojie Zhang, Soo Jung Lee, Michael M Wang

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Naw May Pearl CarteeDepartment of Neurology, University of Michigan, 1137 Catherine St., Box 5622, Ann Arbor, MI, 48109-5622, USA.
Xiaojie ZhangDepartment of Neurology, University of Michigan, 1137 Catherine St., Box 5622, Ann Arbor, MI, 48109-5622, USA.
Soo Jung LeeDepartment of Neurology, University of Michigan, 1137 Catherine St., Box 5622, Ann Arbor, MI, 48109-5622, USA.
Michael M WangDepartment of Neurology, University of Michigan, 1137 Catherine St., Box 5622, Ann Arbor, MI, 48109-5622, USA. micwang@umich.edu.

Funding

BLRD VA I01 BX003824CSRD VA I01 CX002783U.S. Department of Veterans Affairs BX003824
6 · The paper itself

Abstract

Pathogenic alterations in NOTCH3 cause CADASIL, an accelerated and currently untreatable form of cerebrovascular disease. CADASIL mutant NOTCH3, which frequently harbors abnormalities in EGF repeat cysteine number, adopt disulfide dependent abnormal conformations. To seek potential strategies to mitigate the impact of CADASIL mutations on NOTCH3, we investigated whether cysteine-targeting compounds may affect pathological NOTCH3. LSL-NOTCH3, a split luciferase assay that discriminates between benign and pathogenic NOTCH3 conformations, was used to quantify the capacity of 21 small molecule compounds to restore NOTCH3 reporter activity. We assayed the activity of each of the small molecules on 16 different pathogenic mutants distributed over three different regions of NOTCH3. Ten of 21 compounds had statistically significant effects on at least one mutant NOTCH3. Five of 21 compounds had mitigating effects on a majority of mutant NOTCH3 in three regions of the protein, with disulfiram and auranofin targeting the most favorable range of mutants. These findings support the concept that cysteine-targeting can potentially mitigate the effects of a broad range of NOTCH3 pathogenic mutants and provide an impetus to investigate whether cysteine-targeting strategies affect disease-relevant phenotypes in EGF repeat-related human disorders.

Indexed as

CADASILCysteineMutationReceptor, Notch3AuranofinDisulfiramHumansAuranofinCysteineDisulfiramNOTCH3 protein, humanReceptor, Notch3AuranofinCADASILConformational changeCysteinesDisulfide bondsDisulfiramNOTCH3Split luciferase

Identifiers

PMID41862552
PMCPMC13144312

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.