Evidence map›Paper›PMID 38383441›Full record

ArticleJournal of neuroinflammation2024

Integration of National Health Insurance claims data and animal models reveals fexofenadine as a promising repurposed drug for Parkinson's disease.

Jae-Bong Kim, Yujeong Kim, Soo-Jeong Kim, Tae-Young Ha, Dong-Kyu Kim, Dong Won Kim, Minyoung So, Seung Ho Kim, Hyun Goo Woo, Dukyong Yoon and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of neuroinflammation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.5field-weighted citation impact, top 19% of its field
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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
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

11 authors at 3 institutions in 1 country.

Jae-Bong Kim *Department of Pharmacology, Ajou University School of Medicine, 164, Worldcup-Ro, Yeongtong-Gu, Suwon, 16499, Korea.
Yujeong Kim *Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Korea.
Soo-Jeong KimCenter for Convergence Research of Neurological Disorders, Ajou University School of Medicine, Suwon, Korea.
Tae-Young HaDepartment of Pharmacology, Ajou University School of Medicine, 164, Worldcup-Ro, Yeongtong-Gu, Suwon, 16499, Korea.
Dong-Kyu KimCenter for Convergence Research of Neurological Disorders, Ajou University School of Medicine, Suwon, Korea.
Dong Won KimDepartment of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Korea.
Minyoung SoStandigm Inc., Seoul, Korea.
Seung Ho KimCenter for Convergence Research of Neurological Disorders, Ajou University School of Medicine, Suwon, Korea.
Hyun Goo WooCenter for Convergence Research of Neurological Disorders, Ajou University School of Medicine, Suwon, Korea.
Dukyong YoonDepartment of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Korea. dukyong.yoon@yonsei.ac.kr.
Sang Myun ParkDepartment of Pharmacology, Ajou University School of Medicine, 164, Worldcup-Ro, Yeongtong-Gu, Suwon, 16499, Korea. sangmyun@ajou.ac.kr.
Ajou University · KRYonsei University · KRGachon University · KR

Funding

National Research Foundation of Korea NRF-2019R1A5A2026045
6 · The paper itself

Abstract

backgroundParkinson's disease (PD) is a common and costly progressive neurodegenerative disease of unclear etiology. A disease-modifying approach that can directly stop or slow its progression remains a major unmet need in the treatment of PD. A clinical pharmacology-based drug repositioning strategy is a useful approach for identifying new drugs for PD.

methodsWe analyzed claims data obtained from the National Health Insurance Service (NHIS), which covers a significant portion of the South Korean population, to investigate the association between antihistamines, a class of drugs commonly used to treat allergic symptoms by blocking H1 receptor, and PD in a real-world setting. Additionally, we validated this model using various animal models of PD such as the 6-hydroxydopmaine (6-OHDA), α-synuclein preformed fibrils (PFF) injection, and Caenorhabditis elegans (C. elegans) models. Finally, whole transcriptome data and Ingenuity Pathway Analysis (IPA) were used to elucidate drug mechanism pathways.

resultsWe identified fexofenadine as the most promising candidate using National Health Insurance claims data in the real world. In several animal models, including the 6-OHDA, PFF injection, and C. elegans models, fexofenadine ameliorated PD-related pathologies. RNA-seq analysis and the subsequent experiments suggested that fexofenadine is effective in PD via inhibition of peripheral immune cell infiltration into the brain.

conclusionFexofenadine shows promise for the treatment of PD, identified through clinical data and validated in diverse animal models. This combined clinical and preclinical approach offers valuable insights for developing novel PD therapeutics.

Indexed as

Neurodegenerative DiseasesParkinson Diseasealpha-SynucleinAnimalsCaenorhabditis elegansDisease Models, AnimalDopaminergic NeuronsOxidopamineTerfenadinealpha-SynucleinfexofenadineOxidopamineTerfenadineAntihistamineDrug repositioningFexofenadineParkinson’s diseaseα-Synuclein

Identifiers

PMID38383441
PMCPMC10880337
OpenAlexW4392004851

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.