Evidence map›Paper›PMID 41332818›Full record

ArticlemedRxiv : the preprint server for health sciences2025

The Impact of Insulin Resistance on Grey Matter Changes Along the Alzheimer's Disease Continuum Insulin Resistance and Grey Matter in AD.

Valentina Bettonagli, Alice Galli, Elena Bazzoli, Chiara Tolassi, Salvatore Caratozzolo, Bianca Gumina, Ilenia Libri, Daniel Ferreira, Tiago Fleming Outeiro, Andrea Pilotto and 1 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. 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

11 authors.

Valentina BettonagliNeurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Italy.
Alice GalliNeurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Italy.
Elena BazzoliNutri Neuro Med, Desenzano del Garda, Italy.
Chiara TolassiNeurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Italy.
Salvatore CaratozzoloNeurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Italy.
Bianca GuminaNeurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Italy.
Ilenia LibriNeurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Italy.
Daniel FerreiraDepartment of Neurobiology, Care Sciences and Society (NVS) Center for Alzheimer Research, Division of Clinical Geriatrics, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0001-9522-4338
Tiago Fleming OuteiroUniversity Medical Center Goettingen, Department of Experimental Neurodegeneration, Center for Biostructural Imaging of Neurodegeneration, Goettingen, Germany.ORCID 0000-0003-1679-1727
Andrea PilottoNeurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Italy.ORCID 0000-0003-2029-6606
Alessandro PadovaniNeurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Italy.

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
NIA NIH HHS U01 AG024904
6 · The paper itself

Abstract

Background and Objectives: Insulin resistance is emerging as a modifiable risk factor for Alzheimer's, though its impact on grey matter volume across clinical stages remains poorly understood. The objective of the research is to investigate how insulin resistance affects grey matter integrity across the Alzheimer's disease continuum using structural MRI. Methods: Imaging, clinical, and metabolic data were extracted from 374 non-diabetic participants within the Alzheimer's Disease Neuroimaging Initiative (ADNI) dataset. Participants were classified as cognitively impaired (CI: n=186; 137 mild cognitive impairment, 49 early-to-moderate dementia; all AD biomarker positive) or cognitively unimpaired (CU: n=188; 122 amyloid-negative, 66 amyloid-positive). Insulin resistance was assessed at the time of MRI and clinical evaluation using the dichotomized triglyceride-glucose index (TyG). The Interactions between TyG and diagnostic group on grey matter volume were investigated using both voxel-wise and region-of-interest (ROI) based analyses, adjusted for age, sex, education, vascular risk factors, and global cognitive performance across the AD continuum. Results: Insulin resistance significantly impacted gray matter volume across the AD continuum, demonstrating stage-dependent effects. In early AD disease stages, insulin resistance was associated with lower grey matter volume in fronto-parietal regions, a finding that extended to several cortical areas in CI individuals. Temporal and fronto-limbic regions were particularly highlighted by the IR-diagnosis interaction. In amyloid-positive CU individuals, IR was linked to bilateral temporal atrophy, in contrast to amyloid-negative CU participants. Discussion: This study underscores the impact of insulin resistance on brain structure across the AD continuum, particularly within key vulnerability areas characteristic of AD pathology. These findings highlight the need for future research into potential therapeutic strategies targeting insulin signaling to mitigate neurodegeneration in AD.

Identifiers

PMID41332818
PMCPMC12668048

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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 OpenQuestion graph.