Evidence map›Paper›PMID 32380663›Full record

ArticleMolecules (Basel, Switzerland)2020

Repurposing Zileuton as a Depression Drug Using an AI and In Vitro Approach.

Norwin Kubick, Marta Pajares, Ioana Enache, Gina Manda, Michel-Edwar Mickael

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 42% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Neuropsychiatric events associated with montelukast in patients with asthma: a systematic review.European respiratory review : an official journal of the European Respiratory Society · 2023
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Navigating the Intersection of Technology and Depression Precision Medicine.Advances in experimental medicine and biology · 2024
    Review
  8. Review
  9. Article
  10. Review
  11. Article
  12. Review
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 4 institutions in 5 countries.

Norwin KubickDepartment of Biochemistry and Molecular Cell Biology (IBMZ), University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246 Hamburg, Germany.ORCID 0000-0001-8958-0352
Marta PajaresInstituto de Investigaciones Biomédicas Alberto Sols (CSIC-UAM), 28029 Madrid, Spain.
Ioana EnacheDepartment of radiology, Victor Babes National Institute of Pathology, 99-101 Splaiul Independenței, 050096 Bucharest, Romania.
Gina MandaDepartment of radiology, Victor Babes National Institute of Pathology, 99-101 Splaiul Independenței, 050096 Bucharest, Romania.ORCID 0000-0002-9706-1883
Michel-Edwar MickaelPM forskningscentret, 17854 Ekerö Stockholm, Sweden.ORCID 0000-0002-4186-4900
Institutul National Victor Babes · ROInstitute for Financial Research · SEInstituto de Investigaciones Biomédicas Sols-Morreale · ESUniversität Hamburg · DE

Funding

red brain Redbrain
6 · The paper itself

Abstract

Repurposing drugs to target M1 macrophages inflammatory response in depression constitutes a bright alternative for commonly used antidepressants. Depression is a significant type of mood disorder, where patients suffer from pathological disturbances associated with a proinflammatory M1 macrophage phenotype. Presently, the most commonly used antidepressants such as Zoloft and Citalopram can reduce inflammation, but suffer from dangerous side effects without offering specificity toward macrophages. We employed a new strategy for drug repurposing based on the integration of RNA-seq analysis and text mining using deep neural networks. Our system employs a Google semantic AI universal encoder to compute sentences embedding. Sentences similarity is calculated using a sorting function to identify drug compounds. Then sentence relevance is computed using a custom-built convolution differential network. Our system highlighted the NRF2 pathway as a critical drug target to reprogram M1 macrophage response toward an anti-inflammatory profile (M2). Using our approach, we were also able to predict that lipoxygenase inhibitor drug zileuton could modulate NRF2 pathway in vitro. Taken together, our results indicate that reorienting zileuton usage to modulate M1 macrophages could be a novel and safer therapeutic option for treating depression.

Indexed as

AnimalsAntidepressive AgentsAnti-Inflammatory AgentsArtificial IntelligenceCells, CulturedData MiningDrug RepositioningHydroxyureaLipopolysaccharidesMacrophagesMiceNeural Networks, ComputerNF-E2-Related Factor 2RAW 264.7 CellsSemanticsSequence Analysis, RNAAntidepressive AgentsAnti-Inflammatory AgentsHydroxyureaLipopolysaccharidesNfe2l2 protein, mouseNF-E2-Related Factor 2zileutonAIdeep neural networkdepressionmacrophagesNRF2repurposingtext mining

Identifiers

PMID32380663
PMCPMC7249014
OpenAlexW3023833237

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.