Evidence map›Paper›PMID 39883327›Full record

ReviewInflammopharmacology2025

Uncovering the intricacies of IGF-1 in Alzheimer's disease: new insights from regulation to therapeutic targeting.

Navpreet Kaur, Khadga Raj Aran

Abstract readReview
PubMed Publisher
In one paragraph

Review in Inflammopharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Review
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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

2 authors.

Navpreet KaurDepartment of Pharmacy Practice, ISF College of Pharmacy, Moga, Punjab, India.
Khadga Raj AranNeuropharmacology Division, Department of Pharmacology, ISF College of Pharmacy, Moga, 142001, Punjab, India. bishalarann@gmail.com.ORCID http://orcid.org/0000-0002-2450-2975

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by the accumulation of amyloid-β plaques and tau tangles, leading to cognitive decline and dementia. Insulin-like Growth Factor-1 (IGF-1) is similar in structure to insulin and is crucial for cell growth, differentiation, and regulating oxidative stress, synaptic plasticity, and mitochondrial function. IGF-1 exerts its physiological effects by binding to the IGF-1 receptor (IGF-1R) and activating PI3K/Akt pathway. In addition to the physiological activities in the brain, numerous studies point to a potential protective role of the IGF-1 pathway in the pathogenesis of neurodegenerative diseases, such as AD. Interestingly, patients with AD often exhibit altered insulin and IGF-1 levels, along with an inadequate insulin response. Dysregulation of IGF-1 signaling contributes to hyperphosphorylation of tau, NFT accumulation, increased β- and γ-secretase activity, elevated Aβ production, and impaired Aβ clearance, highlighting the need to explore the role of this signaling for potential therapeutic targets of AD. This review explores the role of IGF signaling in AD pathology, highlighting IGF-1 as a promising therapeutic target due to its significant involvement in disease mechanisms. Modulating IGF-1 activity could help mitigate neurodegeneration and preserve cognitive function in AD. A comprehensive understanding of the mechanisms underlying IGF-1 dysregulation is crucial for developing targeted therapeutic strategies to address the complex and multifaceted nature of AD.

Indexed as

Alzheimer DiseaseInsulin-Like Growth Factor IAmyloid beta-PeptidesAnimalsBrainHumansMolecular Targeted TherapyReceptor, IGF Type 1Signal TransductionAmyloid beta-PeptidesInsulin-Like Growth Factor IReceptor, IGF Type 1AcetylcholineAlzheimer’s diseaseBACE-1GSK-3βIGF-1NFTs

Identifiers

What OpenQuestion holds

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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.