ArticleInternational journal of molecular sciences2022
Repurposing Histaminergic Drugs in Multiple Sclerosis.
Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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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.
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Who cites it
11 citing papers in PubMed, 16 citations in OpenAlex.
- Adjunctive Non-Disease-Modifying Therapies in Multiple Sclerosis: Immunometabolic, Neuroprotective and Remyelination-Oriented Approaches.International journal of molecular sciences · 2026Review
- Review
- Prioritizing repurposable drugs for Alzheimer's disease using network-based analysis with concurrent assessment of Long QT syndrome risk.Biotechnology reports (Amsterdam, Netherlands) · 2025Article
- Perturbation response scanning of drug-target networks: Drug repurposing for multiple sclerosis.Journal of pharmaceutical analysis · 2025Article
- Article
- Network-based drug repurposing identifies small molecule drugs as immune checkpoint inhibitors for endometrial cancer.Molecular diversity · 2024Article
- Derivatives of Amodiaquine as Potent Human Cholinesterases Inhibitors: Implication for Treatment of Alzheimer's Disease.Molecules (Basel, Switzerland) · 2024Article
- A Closer Look at Histamine inInternational journal of molecular sciences · 2024Review
- Neuronal activity and remyelination: new insights into the molecular mechanisms and therapeutic advancements.Frontiers in cell and developmental biology · 2023Review
- Drug Repurposing at the Interface of Melanoma Immunotherapy and Autoimmune Disease.Pharmaceutics · 2022Review
- Identification of Potential Repurposable Drugs in Alzheimer's Disease Exploiting a Bioinformatics Analysis.Journal of personalized medicine · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Multiple sclerosis is an autoimmune disease with a strong neuroinflammatory component that contributes to severe demyelination, neurodegeneration and lesions formation in white and grey matter of the spinal cord and brain. Increasing attention is being paid to the signaling of the biogenic amine histamine in the context of several pathological conditions. In multiple sclerosis, histamine regulates the differentiation of oligodendrocyte precursors, reduces demyelination, and improves the remyelination process. However, the concomitant activation of histamine H1-H4 receptors can sustain either damaging or favorable effects, depending on the specifically activated receptor subtype/s, the timing of receptor engagement, and the central versus peripheral target district. Conventional drug development has failed so far to identify curative drugs for multiple sclerosis, thus causing a severe delay in therapeutic options available to patients. In this perspective, drug repurposing offers an exciting and complementary alternative for rapidly approving some medicines already approved for other indications. In the present work, we have adopted a new network-medicine-based algorithm for drug repurposing called SAveRUNNER, for quantifying the interplay between multiple sclerosis-associated genes and drug targets in the human interactome. We have identified new histamine drug-disease associations and predicted off-label novel use of the histaminergic drugs amodiaquine, rupatadine, and diphenhydramine among others, for multiple sclerosis. Our work suggests that selected histamine-related molecules might get to the root causes of multiple sclerosis and emerge as new potential therapeutic strategies for the disease.
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Registered trials
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 Socratic graph.