Evidence map›Paper›PMID 37855983›Full record

ArticleMolecular neurobiology2024

Personalized Protein-Protein Interaction Networks Towards Unraveling the Molecular Mechanisms of Alzheimer's Disease.

Betül Ceylan, Elif Düz, Tunahan Çakir

Abstract read
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In one paragraph

Article in Molecular neurobiology, 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
0.8field-weighted citation impact, top 26% 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, 5 citations in OpenAlex.

  1. Review
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  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

3 authors at 1 institution in 1 country.

Betül CeylanDepartment of Bioengineering, Gebze Technical University, 41400, Gebze, Kocaeli, Turkey.ORCID https://orcid.org/0000-0002-5899-9625
Elif DüzDepartment of Bioengineering, Gebze Technical University, 41400, Gebze, Kocaeli, Turkey.ORCID https://orcid.org/0000-0001-7702-0868
Tunahan ÇakirDepartment of Bioengineering, Gebze Technical University, 41400, Gebze, Kocaeli, Turkey. tcakir@gtu.edu.tr.ORCID http://orcid.org/0000-0001-8262-4420
Gebze Technical University · TR

Funding

Türkiye Bilimsel ve Teknolojik Araştırma Kurumu Project Code: 120S824
6 · The paper itself

Abstract

Alzheimer's disease (AD) is a highly heterogenous neurodegenerative disease, and several omic-based datasets were generated in the last decade from the patients with the disease. However, the vast majority of studies evaluate these datasets in bulk by considering all the patients as a single group, which obscures the molecular differences resulting from the heterogeneous nature of the disease. In this study, we adopted a personalized approach and analyzed the transcriptome data from 403 patients individually by mapping the data on a human protein-protein interaction network. Patient-specific subnetworks were discovered and analyzed in terms of the genes in the subnetworks, enriched functional terms, and known AD genes. We identified several affected pathways that could not be captured by the bulk comparison. We also showed that our personalized findings point to patterns of alterations consistent with the recently suggested AD subtypes.

Indexed as

Alzheimer DiseaseNeurodegenerative DiseasesHumansProtein Interaction MapsTranscriptomeAlzheimer’s diseaseDisease subtypesPersonalized networksProtein-protein interactionSubnetwork discoveryTranscriptome data

Identifiers

PMID37855983
OpenAlexW4387764993

What OpenQuestion holds

Textmetadata
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.