Evidence mapPaperPMID 40859375Full record

ReviewDiabetology & metabolic syndrome2025

A systematic review on type 3 diabetes: bridging the gap between metabolic dysfunction and Alzheimer's disease.

Fereshteh Atabi, Mahdi Moassesfar, Tara Nakhaie, Mobina Bagherian, Niloufar Hosseinpour, Mehrdad Hashemi

Abstract readReview
In one paragraph

Review in Diabetology & metabolic syndrome, 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. Review
  2. Review
  3. Review
  4. Review
  5. Review
  6. Article
  7. Alzheimer's disease in theFree neuropathology · 2026
    Article
  8. Review
  9. 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

6 authors.

Fereshteh AtabiDepartment of Biochemistry and Biophysics, TeMS.C., Islamic Azad University, Tehran, Iran. feratabi@gmail.com.ORCID http://orcid.org/0000-0002-6051-2644
Mahdi MoassesfarDepartment of Biochemistry and Biophysics, TeMS.C., Islamic Azad University, Tehran, Iran.ORCID http://orcid.org/0009-0009-3313-4930
Tara NakhaieDepartment of Laboratory Sciences, TeMS.C., Islamic Azad University, Tehran, Iran.ORCID http://orcid.org/0009-0000-1006-4452
Mobina BagherianDepartment of Laboratory Sciences, TeMS.C., Islamic Azad University, Tehran, Iran.ORCID http://orcid.org/0009-0003-4641-0208
Niloufar HosseinpourDepartment of Laboratory Sciences, TeMS.C., Islamic Azad University, Tehran, Iran.ORCID http://orcid.org/0009-0006-6698-215X
Mehrdad HashemiFarhikhtegan Medical Convergence Sciences Research Center, Farhikhtegan Hospital of Tehran Medical Sciences, TeMS.C., Islamic Azad University, Tehran, Iran.ORCID http://orcid.org/0000-0003-0627-6991

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlzheimer's disease (AD) is increasingly associated with metabolic dysfunction, particularly insulin resistance, which impairs neuronal signaling and energy metabolism. Disruption of brain insulin pathways contributes to amyloid-beta accumulation, tau pathology, and neuroinflammation. These shared features have led to the concept of "Type 3 Diabetes" (T3D). This review aims to investigate the molecular links between insulin resistance and AD and to highlight emerging therapeutic strategies.

methodsA systematic review was conducted in accordance with PRISMA guidelines using PubMed, Scopus, Web of Science, and the Cochrane Library to identify studies published between January 2010 and July 2025. Search terms included "Diabetes Mellitus", "Insulin Resistance", "Alzheimer Disease", "Nerve Degeneration", "Cognitive Dysfunction", and other related molecular and clinical keywords. After removing duplicates and applying predefined inclusion and exclusion criteria, a total of 213 peer-reviewed articles were included in the final analysis.

resultsInsulin resistance was consistently identified as a key pathological driver, impairing brain glucose uptake, amyloid-beta clearance, and tau phosphorylation. Disruption of insulin signaling pathways, especially PI3K/Akt and GLUT4 translocation, was associated with neuroinflammation, oxidative stress, and cognitive decline. Additionally, transcriptomic data highlighted the role of non-coding RNAs, including MEG3 and MALAT1, in modulating insulin sensitivity and glucose homeostasis, linking metabolic imbalance to neuronal dysfunction.

conclusionInsulin resistance and disrupted glucose metabolism play a central role in the development and progression of AD, supporting the concept of T3D. Targeting these pathways shows promising neuroprotective potential. Future studies should focus on validating these interventions in large-scale clinical trials.

Indexed as

Alzheimer diseaseDiabetes mellitusGlucose metabolism disordersInsulin resistanceNerve degenerationOxidative stressTranscriptome

Identifiers

PMID40859375
PMCPMC12382249

What Socratic holds

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LicenceCC BY-NC-ND
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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.