Evidence map›Paper›PMID 36604493›Full record

ArticleScientific reports2023

Single-cell-led drug repurposing for Alzheimer's disease.

Silvia Parolo, Federica Mariotti, Pranami Bora, Lucia Carboni, Enrico Domenici

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Tackling neurodegenerationFrontiers in molecular neuroscience · 2024
    Review
  6. Article
  7. Article
  8. 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.

Silvia ParoloFondazione the Microsoft Research-University of Trento Centre for Computational and Systems Biology (COSBI), 38068, Rovereto, Italy. parolo@cosbi.eu.ORCID 0000-0002-3671-5353
Federica MariottiFondazione the Microsoft Research-University of Trento Centre for Computational and Systems Biology (COSBI), 38068, Rovereto, Italy.
Pranami BoraFondazione the Microsoft Research-University of Trento Centre for Computational and Systems Biology (COSBI), 38068, Rovereto, Italy.
Lucia CarboniDepartment of Pharmacy and Biotechnology, Alma Mater Studiorum University of Bologna, 40126, Bologna, Italy.
Enrico DomeniciFondazione the Microsoft Research-University of Trento Centre for Computational and Systems Biology (COSBI), 38068, Rovereto, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alzheimer's disease is the most common form of dementia. Notwithstanding the huge investments in drug development, only one disease-modifying treatment has been recently approved. Here we present a single-cell-led systems biology pipeline for the identification of drug repurposing candidates. Using single-cell RNA sequencing data of brain tissues from patients with Alzheimer's disease, genome-wide association study results, and multiple gene annotation resources, we built a multi-cellular Alzheimer's disease molecular network that we leveraged for gaining cell-specific insights into Alzheimer's disease pathophysiology and for the identification of drug repurposing candidates. Our computational approach pointed out 54 candidate drugs, mainly targeting MAPK and IGF1R signaling pathways, which could be further evaluated for their potential as Alzheimer's disease therapy.

Indexed as

Alzheimer DiseaseDrug RepositioningGenome-Wide Association StudyHumansSystems Biology

Identifiers

PMID36604493
PMCPMC9816180

What Socratic holds

Textmetadata
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.