Evidence map›Paper›PMID 41239495›Full record

ArticleDiabetology & metabolic syndrome2025

Temporal dynamic of cognitive decline in type 2 diabetes mellitus patients: a multimodal biomarker analysis using event-based modal and principal component analysis.

Min-Hua Ni, Bo Hu, Xiao-Yan Bai, Yao Tong, Zi-Yang Ma, Hao Xie, Xin-Yu Cao, Yan-Yan Cui, Si-Ning Li, Pan Dai and 6 more

Abstract read
In one paragraph

Article in Diabetology & metabolic syndrome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

16 authors.

Min-Hua Ni *Department of Radiology, Tangdu Hospital, Fourth Military Medical University, 569 Xinsi Road, Xi'an, 710038, Shaanxi Province, China.
Bo Hu *Department of Radiology, Tangdu Hospital, Fourth Military Medical University, 569 Xinsi Road, Xi'an, 710038, Shaanxi Province, China.
Xiao-Yan BaiDepartment of Radiology, Tangdu Hospital, Fourth Military Medical University, 569 Xinsi Road, Xi'an, 710038, Shaanxi Province, China.
Yao TongDepartment of Radiology, Tangdu Hospital, Fourth Military Medical University, 569 Xinsi Road, Xi'an, 710038, Shaanxi Province, China.
Zi-Yang MaDepartment of Radiology, Tangdu Hospital, Fourth Military Medical University, 569 Xinsi Road, Xi'an, 710038, Shaanxi Province, China.
Hao XieDepartment of Radiology, Tangdu Hospital, Fourth Military Medical University, 569 Xinsi Road, Xi'an, 710038, Shaanxi Province, China.
Xin-Yu CaoDepartment of Radiology, Tangdu Hospital, Fourth Military Medical University, 569 Xinsi Road, Xi'an, 710038, Shaanxi Province, China.
Yan-Yan CuiDepartment of Radiology, Tangdu Hospital, Fourth Military Medical University, 569 Xinsi Road, Xi'an, 710038, Shaanxi Province, China.
Si-Ning LiDepartment of Radiology, Tangdu Hospital, Fourth Military Medical University, 569 Xinsi Road, Xi'an, 710038, Shaanxi Province, China.
Pan DaiDepartment of Radiology, Tangdu Hospital, Fourth Military Medical University, 569 Xinsi Road, Xi'an, 710038, Shaanxi Province, China.
Li-Juan DuDepartment of Radiology, Tangdu Hospital, Fourth Military Medical University, 569 Xinsi Road, Xi'an, 710038, Shaanxi Province, China.
Xin-Wen YuDepartment of Endocrinology, Tangdu Hospital, Fourth Military Medical University, 569 Xinsi Road, Xi'an, 710038, Shaanxi, China.
Lin-Feng YanDepartment of Radiology, Tangdu Hospital, Fourth Military Medical University, 569 Xinsi Road, Xi'an, 710038, Shaanxi Province, China.
Bin GaoDepartment of Endocrinology, Tangdu Hospital, Fourth Military Medical University, 569 Xinsi Road, Xi'an, 710038, Shaanxi, China.
Ying YuDepartment of Radiology, Tangdu Hospital, Fourth Military Medical University, 569 Xinsi Road, Xi'an, 710038, Shaanxi Province, China. yytdfsk@fmmu.edu.cn.
Guang-Bin CuiDepartment of Radiology, Tangdu Hospital, Fourth Military Medical University, 569 Xinsi Road, Xi'an, 710038, Shaanxi Province, China. cgbtd@126.com.

Funding

National Science Foundation of China 82302148National Science Foundation of China 82471936
6 · The paper itself

Abstract

backgroundType 2 diabetes mellitus (T2DM) is an important risk factor for cognitive impairment. Prior research has shown cognitive deficits and neural alterations across multiple domains in T2DM patients. However, the sequential dynamics of cognitive decline in this population remain poorly understood. This study employs an integrative approach combining Principal Component Analysis (PCA) and the Event-Based Model (EBM) to identify the temporal sequence of cognitive changes and underlying neural mechanisms in T2DM.

methodsThis study assessed 119 T2DM patients and 87 healthy controls with neuropsychological tests and Magnetic Resonance Imaging for gray matter volume (GMV). PCA was used to reduce dimensionality in CVLT, STROOP, and WCST due to their substantial number of items, enabling integration into the EBM model. EBM estimated the sequence of cognitive and neurostructural changes. Partial correlation analyses were used to examine associations with clinical factors with controlling covariance.

resultsCognitive decline in T2DM began with attention and working memory, followed by executive function and episodic memory. GMV loss started in the insular gyrus, spreading to other regions. T2DM patients exhibited significantly more advanced disease progression than healthy controls (EBM stage 0.54 (0.12) vs. 0.49 (0.10), P = 0.001). A negative correlation linked long-delay memory (CVLT-PC4) to random blood glucose (r = -0.581, P

conclusionMemory decline and insular gyrus atrophy may serve as early biomarkers for T2DM-related cognitive impairment. These findings highlight potential targets for early intervention and suggest strategies for developing personalized treatments to improve life quality in affected individuals.

Indexed as

Cognitive declineEvent-based modelGray matter volumePrincipal component analysisType 2 diabetes mellitus

Identifiers

PMID41239495
PMCPMC12619481

What Socratic holds

Textmetadata
LicenceCC BY
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.