Evidence map›Paper›PMID 41361238›Full record

ArticleScientific reports2025

Integrative gene co-expression network analysis reveals protein-coding and LncRNA genes associated with Alzheimer's disease pathology.

Fatemeh Zebardast, Michael Peter Sascha Riethmüller, Katja Nowick

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

3 authors.

Fatemeh ZebardastHuman Biology and Primate Evolution Group, Department of Biology, Chemistry and Pharmacy, Institute for Zoology, Freie Universität Berlin, Berlin, Germany.
Michael Peter Sascha RiethmüllerHuman Biology and Primate Evolution Group, Department of Biology, Chemistry and Pharmacy, Institute for Zoology, Freie Universität Berlin, Berlin, Germany.
Katja NowickHuman Biology and Primate Evolution Group, Department of Biology, Chemistry and Pharmacy, Institute for Zoology, Freie Universität Berlin, Berlin, Germany. katja.nowick@fu-berlin.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alzheimer's disease (AD) is a complex neurodegenerative disorder marked by widespread molecular changes, many of which remain poorly understood. While AD pathology progresses through specific brain regions, it is unclear whether these regions are affected similarly. Long non-coding RNAs (lncRNAs), emerging as key cellular regulators, remain largely uncharacterized in AD. Understanding how lncRNAs interact with protein-coding genes across brain regions could shed light on AD mechanisms and progression. To investigate this, we performed consensus weighted gene co-expression network analysis on 396 postmortem brain RNA-seq samples using a meta-analytic approach. Our analysis revealed substantial network rewiring in AD, particularly in the temporal cortex compared to the frontal cortex. The temporal cortex exhibited adaptive changes in gene interactions, while the frontal cortex showed a breakdown of healthy correlations-possibly reflecting regional differences in disease progression. We identified 46 protein-coding genes and 27 lncRNAs as key components in the AD network of the temporal cortex. Using known functions of protein-coding genes as reference points, we inferred potential functions for over 100 lncRNAs across both regions. These findings highlight novel lncRNA candidates potentially involved in AD and provide insights into their roles in both healthy and diseased brain states.

Indexed as

Alzheimer DiseaseGene Regulatory NetworksRNA, Long NoncodingAgedBrainFemaleFrontal LobeGene Expression ProfilingGene Expression RegulationHumansMaleTemporal LobeRNA, Long NoncodingAlzheimer’s diseaseConsensus gene co-expression networkLong non-coding RNAs (lncRNA)Random walk with restart (RWR)Weighted topological overlap (wTO)

Identifiers

PMID41361238
PMCPMC12689637

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.