The Early Warning System for the Diabetic Encephalopathy

NCT ID: NCT02420470

Last Updated: 2022-07-13

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

RECRUITING

Total Enrollment

300 participants

Study Classification

OBSERVATIONAL

Study Start Date

2015-04-30

Study Completion Date

2026-12-31

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

Diabetes( mainly type II diabetes )lead to the central nervous system (CNS) function impairment, especially the mild cognitive impairment that increased the risk of progression to dementia.The primary objectives are defined according to a hierarchical design: i) to tailor and apply multi-parametric, functional MRI techniques to identify cerebral abnormalities (cerebral biomarkers) in type 2 diabetes mellitus and prodromal diabetes mellitus ; ii) to assess whether these cerebral biomarkers are associated with cognitive decrements;iii) to follow up with the putative prediabetic condition patients to verify whether they can transform into diabetes.

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

Diabetes ( mainly type II diabetes ) lead to the central nervous system (CNS) function impairment, especially the mild cognitive impairment (MCI) that increased the risk of progression to dementia. It was regarded that neurodegeneration contributes to the diabetic MCI, however, recent research suggested that CNS microvascular alterations are the mechanism for early diabetic MCI. But there still lacks an early warning system for the CNS micro-structure alterations during early diabetes. Latest neuroimaging techniques enable the measurement of brain blood flow, local neural activity,and the nuclei deposition of iron to reflect CNS micro-structure alterations. But these techniques are complicated and can not fully reflect the alterations with one single technique.We previous observed that 44.4% of diabetic patients demonstrate MCI and established the comprehensive protocols of measuring brain blood flow, local neural activity and the nuclei deposition of iron simultaneously based on the multimodal MRI technique so as to reflect the microstructure alterations reliably and validly. Therefore, we intend to integrate psychological measurement and clinical biochemical examination, and to establish the early warning system for the central nervous system micro-structure alterations during early diabetes based on the multi-modal MRI technique. The reliability and validity of this system will be tested in the diabetic rat model. The early warning system will likely assist in screening patients with diabetic microstructure alterations, to perform early intervention so as to prevent or delay the progression from diabetic MCI to dementia.

Conditions

See the medical conditions and disease areas that this research is targeting or investigating.

Diabetes Mellitus Type 2 Mild Cognitive Impairment Metabolic Syndrome X

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

Review each arm or cohort in the study, along with the interventions and objectives associated with them.

healthy control group

fasting plasma glucose(FPG)\<6.11mmol/L,and 2-h plasma glucose(2hPG)\<7.77mmol/L;

No interventions assigned to this group

prodromal diabetes group

IFG:fasting plasma glucose(FPG) ≥5.6mmol/L (100mg/dl),and\<7.0mmol/L (126mg/dl),oral glucose tolerance test(OGTT) 2-h plasma glucose(2hPG) \<7.8 mmol/L ;IGT:oral glucose tolerance test(OGTT) 2-h plasma glucose(2hPG) ≥7.8mmol/L (140mg/dl),and\<11.1mmol/L (200mg/dl),fasting plasma glucose(FPG)\< 5.6mmol/L

No interventions assigned to this group

diabetes group

fasting plasma glucose(FPG)\>7.0mmol/L, or 2-h plasma glucose(2hPG)\>11.1mmol/L

No interventions assigned to this group

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

Inclusion Criteria

* without dementia
* Inform Consent Form
* Education time more than 6 years
* blood glucose matches the group standard

Exclusion Criteria

* Pregnant woman
* suffer from serious brain disease
* Magnetic resonance contraindications
* lack of compliance
* image quality is too poor to deal with
Minimum Eligible Age

40 Years

Maximum Eligible Age

65 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

Meet the organizations funding or collaborating on the study and learn about their roles.

Tang-Du Hospital

OTHER

Sponsor Role lead

Responsible Party

Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.

Responsibility Role SPONSOR

Principal Investigators

Learn about the lead researchers overseeing the trial and their institutional affiliations.

Guangbin Cui, professor

Role: STUDY_CHAIR

Tang-Du Hospital

Locations

Explore where the study is taking place and check the recruitment status at each participating site.

Tangdu Hospital

Xi'an, Shaanxi, China

Site Status RECRUITING

Countries

Review the countries where the study has at least one active or historical site.

China

Central Contacts

Reach out to these primary contacts for questions about participation or study logistics.

Guangbin Cui, professor

Role: CONTACT

Facility Contacts

Find local site contact details for specific facilities participating in the trial.

Ying Yu, master

Role: primary

029-18191260958

References

Explore related publications, articles, or registry entries linked to this study.

Hu B, Yu Y, Yu XW, Ni MH, Cui YY, Cao XY, Yang AL, Jin YX, Liang SR, Li SN, Dai P, Wu K, Yan LF, Gao B, Cui GB. Sequence of episodic memory-related behavioral and brain-imaging abnormalities in type 2 diabetes. Nutr Diabetes. 2025 Feb 1;15(1):1. doi: 10.1038/s41387-025-00359-w.

Reference Type DERIVED
PMID: 39893169 (View on PubMed)

Hu B, Yan LF, Sun Q, Yu Y, Zhang J, Dai YJ, Yang Y, Hu YC, Nan HY, Zhang X, Heng CN, Hou JF, Liu QQ, Shao CH, Li F, Zhou KX, Guo H, Cui GB, Wang W. Disturbed neurovascular coupling in type 2 diabetes mellitus patients: Evidence from a comprehensive fMRI analysis. Neuroimage Clin. 2019;22:101802. doi: 10.1016/j.nicl.2019.101802. Epub 2019 Mar 27.

Reference Type DERIVED
PMID: 30991623 (View on PubMed)

Sun Q, Chen GQ, Wang XB, Yu Y, Hu YC, Yan LF, Zhang X, Yang Y, Zhang J, Liu B, Wang CC, Ma Y, Wang W, Han Y, Cui GB. Alterations of White Matter Integrity and Hippocampal Functional Connectivity in Type 2 Diabetes Without Mild Cognitive Impairment. Front Neuroanat. 2018 Mar 20;12:21. doi: 10.3389/fnana.2018.00021. eCollection 2018.

Reference Type DERIVED
PMID: 29615873 (View on PubMed)

Yu Y, Sun Q, Yan LF, Hu YC, Nan HY, Yang Y, Liu ZC, Wang W, Cui GB. Multimodal MRI for early diabetic mild cognitive impairment: study protocol of a prospective diagnostic trial. BMC Med Imaging. 2016 Aug 24;16(1):50. doi: 10.1186/s12880-016-0152-x.

Reference Type DERIVED
PMID: 27552827 (View on PubMed)

Other Identifiers

Review additional registry numbers or institutional identifiers associated with this trial.

TDLL-2014086

Identifier Type: -

Identifier Source: org_study_id

More Related Trials

Additional clinical trials that may be relevant based on similarity analysis.

Sweet Sensing in Type 2 Diabetes
NCT06804187 ENROLLING_BY_INVITATION