Evidence mapPaperPMID 37183545Full record

ArticleCNS neuroscience & therapeutics2023

Hypericin as a potential drug for treating Alzheimer's disease and type 2 diabetes with a view to drug repositioning.

Xin Yuan, Fei Yan, Li-Hui Gao, Qian-Hui Ma, Ju Wang

Open access · goldAbstract read
In one paragraph

Article in CNS neuroscience & therapeutics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.4field-weighted citation impact, top 6% 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

9 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Tocochromanols in the Leaves of Plants in theMolecules (Basel, Switzerland) · 2025
    Article
  6. Diverse Therapeutic Potentials of Hypericin: An In-Depth Review.Current topics in medicinal chemistry · 2025
    Review
  7. Article
  8. A new name for an old problem-Frontiers in fungal biology · 2024
    Article
  9. 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

5 authors at 1 institution in 1 country.

Xin YuanSchool of Biomedical Engineering, Tianjin Medical University, Tianjin, China.ORCID 0000-0002-6375-3259
Fei YanSchool of Biomedical Engineering, Tianjin Medical University, Tianjin, China.
Li-Hui GaoSchool of Biomedical Engineering, Tianjin Medical University, Tianjin, China.
Qian-Hui MaSchool of Biomedical Engineering, Tianjin Medical University, Tianjin, China.
Ju WangSchool of Biomedical Engineering, Tianjin Medical University, Tianjin, China.
Tianjin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsAlzheimer's disease (AD) and type 2 diabetes (T2D) are two of the most common diseases in elderly population and they have a high rate of comorbidity. Study has revealed that T2D is a major risk factor of AD, and thus exploring therapeutic approaches that can target both diseases has drawn much interest in recent years. In this study, we tried to explore drugs that could be potentially used to prevent or treat both AD and T2D via a drug repositioning approach.

methodsWe first searched the known drugs that may be effective to T2D treatment based on the network distance between the T2D-associated genes and drugs deposited in the DrugBank database. Then, via molecular docking, we further screened these drugs by examining their interaction with islet amyloid polypeptide (IAPP) and Aβ42 peptide, the key components involved in the pathogenesis of T2D or AD. Finally, the binding between the selected drug candidates and the target proteins was verified by molecular dynamics (MD) simulation; and the potential function of the drug candidates and the corresponding targets were analyzed.

resultsFrom multiple resources, 734 T2D-associated genes were collected, and a list of 1109 drug candidates for T2D was obtained. We found that hypericin had the lowest binding energy and the most stable interaction with either IAPP or Aβ42 peptide. In addition, we also found that the target genes regulated by hypericin were differentially expressed in the tissues related to the two diseases.

conclusionOur results show that hypericin may be able to bind with IAPP and Aβ42 stably and prevent their accumulation, and thus could be a promising drug candidate for treating the comorbidity of AD and T2D.

Indexed as

Alzheimer DiseaseDiabetes Mellitus, Type 2AgedAmyloid beta-PeptidesAnthracenesDrug RepositioningHumansIslet Amyloid PolypeptideMolecular Docking SimulationPeryleneAmyloid beta-PeptidesAnthraceneshypericinIslet Amyloid PolypeptidePeryleneAlzheimer's diseasedrug repositioninghypericintype 2 diabetes

Identifiers

PMID37183545
PMCPMC10580347
OpenAlexW4376630978

What Socratic holds

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LicenceCC BY
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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 Socratic graph.