Evidence map›Paper›PMID 42712645›Full record

ReviewEXCLI journal2026

Evaluation of distinct and similar pathological features between diabetes and Alzheimer's disease.

Joshua Reed, Stephen C Bain, Venkateswarlu Kanamarlapudi

Abstract readReview
In one paragraph

Review in EXCLI journal, 2026. 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

3 authors.

Joshua ReedInstitute of Life Science, Medical School, Swansea University, Swansea SA2 8PP, UK.
Stephen C BainInstitute of Life Science, Medical School, Swansea University, Swansea SA2 8PP, UK.
Venkateswarlu KanamarlapudiInstitute of Life Science, Medical School, Swansea University, Swansea SA2 8PP, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type 1 diabetes (T1D), type 2 diabetes (T2D) and Alzheimer's disease (AD), which are heterogeneous multifactorial diseases, have become major global healthcare burdens and significant concerns for the future. Historically, the pathogeneses of these diseases were regarded as being largely distinct, but recent research suggests that this view is now outdated, with a lack of insulin and/or insulin resistance playing an important role in both forms of diabetes and AD. The current state of knowledge on the epidemiology, aetiology, and pathogenesis of T1D, T2D, and AD is summarised in this review. The evidence demonstrating overlapping pathological features between these diseases is also discussed here. Studies have demonstrated that islet autoimmunity, dysfunctional glucagon secretion, insulin resistance and islet amyloidosis manifest in both T1D and T2D. AD has been suggested to be type 3 diabetes (T3D), due to the associated abnormal brain insulin resistance, which is speculated to drive the progressive pathogenesis. Additionally, T1D and T2D are risk factors for AD and vice versa, and most AD patients also have diabetes or glucose intolerance, indicating bidirectional relationships. Thus, the association between AD and diabetes is already well established. Further understanding the connection between these diseases using recent scientific evidence may allow for the development of more efficient therapeutic strategies, which is highly desirable, given the prevalence of post-diagnosis complications. Evidence suggests that GLP-1R agonists can alleviate the phenotypes of all of these diseases, and these agonists could be used in the future to simultaneously treat them in subjects or prevent/delay their manifestation in at-risk individuals. See also the graphical abstract(Fig. 1).

Indexed as

Alzheimer's diseaseinsulin resistanceislet alpha-cellislet beta-celltype 1 diabetestype 2 diabetes

Identifiers

PMID42712645
PMCPMC13550658

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.