Evidence map›Paper›PMID 40292249›Full record

Review3 Biotech2025

Correlation of autophagy and Alzheimer's disease with special emphasis on the role of phosphodiesterase-4.

Aniruddha Banerjee, Dithu Thekkekkara, S N Manjula, Salini P Nair, Mankala Sree Lalitha

Abstract readReview
In one paragraph

Review in 3 Biotech, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Aniruddha BanerjeeDepartment of Pharmacology, JSS College of Pharmacy, JSS Academy of Higher Education & Research, Mysore, Karnataka 570 015 India.
Dithu ThekkekkaraDepartment of Pharmacology, JSS College of Pharmacy, JSS Academy of Higher Education & Research, Mysore, Karnataka 570 015 India.ORCID 0000-0003-1313-7500
S N ManjulaDepartment of Pharmacology, JSS College of Pharmacy, JSS Academy of Higher Education & Research, Mysore, Karnataka 570 015 India.
Salini P NairDepartment of Pharmacology, JSS College of Pharmacy, JSS Academy of Higher Education & Research, Mysore, Karnataka 570 015 India.
Mankala Sree LalithaDepartment of Pharmacology, JSS College of Pharmacy, JSS Academy of Higher Education & Research, Mysore, Karnataka 570 015 India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autophagy disruption is important in Alzheimer's disease (AD) as it prevents misfolded proteins from being removed, which leads to the accumulation of amyloid plaques and neurofibrillary tangles (NFTs). Restoring autophagy improves neuronal survival and cognitive function, according to experimental models. In AD models, mTOR inhibition and AMPK activation enhance synaptic plasticity and lessen learning deficits. Inhibitors of phosphodiesterase-4 (PDE4) improve cognition and reduce neuroinflammation via altering cyclic adenosine monophosphate (cAMP) transmission. Furthermore, autophagic-lysosomal clearance is encouraged by upregulating transcription factor EB (TFEB), which lessens the pathogenic damage linked to AD. These results point to autophagy modification as a promising therapeutic approach, with the mTOR, AMPK, cAMP, and TFEB pathways being possible targets for drugs. Though much evidence is based on animal studies, these findings provide valuable insights into autophagy's role in AD pathology, offering promising directions for future research and drug development.

Indexed as

Alzheimer's disease (AD)AutophagyCyclic adenosine monophosphate (cAMP)mTORPhosphodiesterase-4 (PDE4)

Identifiers

PMID40292249
PMCPMC12018668

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.