Evidence mapPaperPMID 40536952Full record

ArticleNeural regeneration research2026

Metabolic breakdown: Linking insulin resistance and mitochondrial dysfunction to neurodegeneration in Alzheimer's disease.

Simona Lanzillotta, Lucrezia Romana Rolfi, Barbara Zulli, Eugenio Barone

Abstract read
In one paragraph

Article in Neural regeneration research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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

4 authors.

Simona LanzillottaDepartment of Biochemical Sciences "A. Rossi-Fanelli", Faculty of Pharmacy and Medicine, Sapienza University of Rome, Rome, Italy.
Lucrezia Romana Rolfi
Barbara Zulli

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increasing prevalence of metabolic disorders and neurodegenerative diseases has uncovered shared pathophysiological pathways, with insulin resistance and mitochondrial dysfunction emerging as critical contributors to cognitive decline. Insulin resistance impairs neuronal metabolism and synaptic function, fostering neurodegeneration as observed in Alzheimer's disease and Down syndrome. Indeed, Down syndrome, characterized by the triplication of the APP gene, represents a valuable genetic model for studying early-onset Alzheimer's disease and accelerated aging. Building on the link between metabolic dysfunctions and neurodegeneration, innovative strategies addressed brain insulin resistance as a key driver of cognitive decline. Intranasal insulin has shown promise in improving cognition in early Alzheimer's disease and type 2 diabetes, supporting the concept that restoring insulin sensitivity can mitigate neurodegeneration. However, insulin-based therapies risk desensitizing insulin signaling, potentially worsening the disease. Incretins, particularly glucagon-like peptide 1 receptor agonists, offer neuroprotective benefits by enhancing insulin sensitivity, metabolism, and synaptic plasticity while reducing oxidative distress and neuroinflammation. This review focuses on current knowledge on the metabolic and molecular interactions between insulin resistance, mitochondrial dynamics (including their roles in energy metabolism), and oxidative distress regulation, as these are pivotal in both Alzheimer's disease and Down syndrome. By addressing these interconnected mechanisms, innovative treatments may emerge for both metabolic and neurodegenerative disorders.

Indexed as

agingAlzheimer’s diseasebrain insulin resistanceDown syndromeenergy metabolismglucagon-like peptide 1incretinsinsulinmitochondrianeurodegeneration

Identifiers

PMID40536952
PMCPMC13211837

What Socratic holds

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Registered trials

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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.