Evidence mapPaperPMID 42404397Full record

ReviewBiomarkers in neuropsychiatry2025

A systematic review of in vivo brain insulin resistance biomarkers in humans.

Graham Reid, Brendan Sargent, Sarah Bauermeister, Amanda Adler, Ivan Koychev

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In one paragraph

Review in Biomarkers in neuropsychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Graham ReidDepartment of Psychiatry, Medical Sciences Division, University of Oxford, Oxford, United Kingdom.
Brendan SargentDepartment of Psychiatry, Medical Sciences Division, University of Oxford, Oxford, United Kingdom.
Sarah BauermeisterDepartment of Psychiatry, Medical Sciences Division, University of Oxford, Oxford, United Kingdom.
Amanda AdlerRadcliffe Department of Medicine, Medical Sciences Division, University of Oxford, Oxford, United Kingdom.
Ivan KoychevDepartment of Psychiatry, Medical Sciences Division, University of Oxford, Oxford, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type 2 diabetes mellitus (T2DM) is associated with an elevated risk of dementia, prompting interest into the concept of brain-specific insulin resistance. However, the brain's reliance on insulin-independent glucose transporters complicates attempts to measure in vivo brain insulin resistance using the definition of system-wide insulin resistance, which is based on glucose-insulin interactions. In this review, we explore three available biomarkers for evaluating in vivo brain-specific insulin resistance in humans: (1) correlating systemic insulin resistance with brain function, (2) examining functional brain changes after the administration of intranasal insulin, and (3) quantifying insulin signalling proteins in neuronally enriched blood-derived extracellular vesicles. Integrating evidence from these three approaches tentatively suggests for the first time that a comprehensive assessment of the brain's default mode network (DMN), combining these methodologies within a single study, may offer a useful biomarker to quantify in vivo brain-specific insulin resistance in humans. Correlating DMN responses to concentrations of pY-IRS-1 in blood-derived extracellular vesicles would corroborate evidence for a brain-specific biomarker and provide a scalable approach to detecting brain-specific insulin resistance in humans. This advancement would enable in vivo evaluations of insulin resistance in the central nervous system, akin to the precise measurements of systemic insulin resistance seen in T2DM. An established and clearly defined biomarker of in vivo brain insulin resistance in humans would permit further investigation into the links between diabetes and dementia, ultimately bolstering support for secondary dementia prevention by identifying those at higher risk for cognitive decline.

Indexed as

Brain insulin resistanceDementiaExtracellular vesiclesNeuroimaging

Identifiers

PMID42404397
PMCPMC13328063

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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.