Evidence map›Paper›PMID 40296619›Full record

SynthesisCurrent Alzheimer research2025

The Footprint of

Zahra Khosroabadi, Anoosha Niazmand, Seyed Reza Mousavi, Neda Hosseini, Nastaran Bagheri, Ahmad Chitsaz, Mansoor Salehi

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Current Alzheimer research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Zahra KhosroabadiDepartment of Genetics and Molecular Biology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Anoosha NiazmandDepartment of Genetics and Molecular Biology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Seyed Reza MousaviCellular, Molecular and Genetics Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Neda HosseiniCellular, Molecular and Genetics Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Nastaran BagheriCellular, Molecular and Genetics Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Ahmad ChitsazDepartment of Neurology, Isfahan University of Medical Sciences, Isfahan, Iran.
Mansoor SalehiCellular, Molecular and Genetics Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesDementia has become a major global cause of death, posing significant health and economic challenges. Alzheimer's disease (AD) is the most common type of dementia. Recent studies have shown that long noncoding RNAs (lncRNAs) play a role in AD development. In this context, the current study conducted a comprehensive meta-analysis of high-throughput Gene Expression Omnibus (GEO) datasets to identify significant lncRNAs that could play a crucial role in the pathogenesis of AD.

methodsThree microarray expression profiles of human subjects diagnosed with AD and corresponding healthy controls were obtained from the GEO database. Afterward, the expression profiles from the chosen microarray datasets were combined. A network of differentially expressed genes (DEGs) was visualized, identifying key hub genes. Subsequently, the two significant lncRNAs, identified as

resultsExperimental validation showed that

conclusionThis study thoroughly examined the molecular landscape of AD, identifying key differentially expressed genes and highlighting candidate

Indexed as

Alzheimer DiseaseRNA, Long NoncodingAgedComputer SimulationFemaleGene Expression ProfilingGene Regulatory NetworksHumansMaleRNA, Long NoncodingAlzheimer’s diseaseCHASERRexpressionlncRNApathogenesis.regulation

Identifiers

PMID40296619

What Socratic 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 Socratic graph.