Evidence map›Paper›PMID 41431341›Full record

ArticleBrain and behavior2025

Insulin Resistance and Cognitive Function in Nondiabetic Patients With Cerebral Small Vessel Disease: Role of Brain Glymphatic Function.

Xiao-Li Yang, Yu-Fan Luo, Tian-Yao Wang, Meng-Xiang Wang, Wen-Mei Lu, Hu-Lie Zeng, Dan-Hong Wu

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Article in Brain and behavior, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Xiao-Li YangDepartment of Neurology, Shanghai Fifth People's Hospital, Fudan University, Shanghai, China.
Yu-Fan LuoDepartment of Neurology, Shanghai Fifth People's Hospital, Fudan University, Shanghai, China.
Tian-Yao WangDepartment of Radiology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Meng-Xiang WangDepartment of Neurology, Shanghai Fifth People's Hospital, Fudan University, Shanghai, China.
Wen-Mei LuDepartment of Neurology, Shanghai Fifth People's Hospital, Fudan University, Shanghai, China.
Hu-Lie ZengDepartment of Neurology, Shanghai Fifth People's Hospital, Fudan University, Shanghai, China.ORCID 0000-0003-0484-836X
Dan-Hong WuDepartment of Neurology, Shanghai Fifth People's Hospital, Fudan University, Shanghai, China.ORCID 0000-0002-1132-6669

Funding

Health Profession Clinical Research Funds of Shanghai Municipal Health Commission (202540025).Minhang District Natural Science FoundationShanghai Minhang District Health and Family Planning Commission for Constructing Big Disciplines
6 · The paper itself

Abstract

objectiveBoth insulin sensitivity and brain glymphatic function were linked to cognitive function in nondiabetic patients with cerebral small vessel disease (CSVD). This study aims to elucidate these complex associations through mediation analysis.

methodsPatients who underwent multimodal magnetic resonance imaging (MRI) scans were recruited. Global cognitive assessment was performed by Mini-Mental State Examination (MMSE), four isolated cognitive domains were assessed simultaneously. Glymphatic function was assessed using the diffusion tensor imaging along the perivascular space (DTI-ALPS) index, insulin sensitivity was assessed by the homeostasis model assessment-estimated insulin resistance index (HOMA-IR), and HOMA-IR≥2.80 was defined as insulin resistance (IR). Mediation analysis was conducted to examine the effect of the DTI-ALPS on insulin sensitivity and cognitive function.

results110 CSVD patients were recruited, 40 patients were IR and 70 patients were non-IR. Both the HOMA-IR and DTI-ALPS index were significant predictors of cognitive function, with B = -0.592, 95%CI, -0.939 to -0.244, p = 0.001 and B = 9.378, 95% CI, 3.376 to 15.381, p = 0.003, respectively, after adjusting for age, sex, and other confounding factors. Mediation analysis revealed that the DTI-ALPS index served as a significant partial mediator in the relationship between HOMA-IR and cognitive function, with direct effect = -0.649 (95% CI, -1.015 to -0.282, p < 0.001), total effect = -0.743 (95% CI, -1.106 to -0.380, p < 0.001), and the indirect effect = -0.094 (95% CI, -0.236 to -0.006, p = 0.029), accounting for 12.66% of the total effect.

conclusionBoth the HOMA-IR and the DTI-ALPS index are independent risk factors for cognitive function. Furthermore, the DTI-ALPS index significantly and partially mediates the relationship between the HOMA-IR and cognitive function.

Indexed as

BrainCerebral Small Vessel DiseasesCognitionGlymphatic SystemInsulin ResistanceAgedCognitive DysfunctionDiffusion Tensor ImagingFemaleHumansMagnetic Resonance ImagingMaleMiddle Agedbrain glymphatic functioncerebral small vessel diseasecognitive functiondiffusion tensor imaging along the perivascular space (DTI‐ALPS) indexinsulin sensitivity

Identifiers

PMID41431341
PMCPMC12723189

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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.