Evidence map›Paper›PMID 32986168›Full record

ReviewMetabolic brain disease2021

Insulin resistance: a connecting link between Alzheimer's disease and metabolic disorder.

Viplav Kshirsagar, Chetan Thingore, Archana Juvekar

Abstract readReview
PubMed Publisher
In one paragraph

Review in Metabolic brain disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
3.0field-weighted citation impact, top 8% of its field
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

35 citing papers in PubMed, 58 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Viplav KshirsagarDepartment of Pharmaceutical Sciences and Technology, Institute of Chemical Technology, Nathalal Parekh Marg, Near Khalsa college, Matunga, Mumbai, Maharashtra, 400019, India.
Chetan ThingoreDepartment of Pharmaceutical Sciences and Technology, Institute of Chemical Technology, Nathalal Parekh Marg, Near Khalsa college, Matunga, Mumbai, Maharashtra, 400019, India.
Archana JuvekarDepartment of Pharmaceutical Sciences and Technology, Institute of Chemical Technology, Nathalal Parekh Marg, Near Khalsa college, Matunga, Mumbai, Maharashtra, 400019, India. drarchana.juvekar@gmail.com.
Institute of Chemical Technology · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent evidence suggests that Alzheimer's disease (AD) is closely linked with insulin resistance, as seen in type 2 diabetes mellitus (T2DM). Insulin signaling is impaired in AD brains due to insulin resistance, ultimately resulting in the formation of neurofibrillary tangles (NFTs). AD and T2DM are connected at molecular, clinical, and epidemiological levels making it imperative to understand the contribution of T2DM, and other metabolic disorders, to AD pathogenesis. In this review, we have discussed various modalities involved in the pathogenesis of these two diseases and explained the contributing parameters. Insulin is vital for maintaining glucose homeostasis and it plays an important role in regulating inflammation. Here, we have discussed the roles of various contributing factors like miRNA, leptin hormone, neuroinflammation, metabolic dysfunction, and gangliosides in insulin impairment both in AD and T2DM. Understanding these mechanisms will be a big step forward for making molecular therapies that may help maintain or prevent both AD and T2DM, thus reducing the burden of both these diseases.

Indexed as

Alzheimer DiseaseAmyloid beta-PeptidesAnimalsBrainGlucoseHumansInsulin ResistanceMetabolic DiseasesNeurofibrillary TanglesOxidative StressAmyloid beta-PeptidesGlucoseAlzheimer’s diseaseGangliosidesInflammationInsulin resistancemiRNAT2DM

Identifiers

PMID32986168
OpenAlexW3089232237

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.