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Platelet biomarkers identifying mild cognitive impairment in type 2 diabetes patients
Haitao Yu1,2, Yanchao Liu1,3, Ting He1
1Department of Pathophysiology, Key Laboratory of Ministry of Education for Neurological Disorders, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Abstract:
Type 2 diabetes mellitus (T2DM) is an independent risk factor of Alzheimer's disease (AD). Therefore, identifying periphery biomarkers correlated with mild cognitive impairment (MCI) is of importance for early diagnosis of AD. Here, we performed platelet proteomics in T2DM patients with MCI (T2DM-MCI) and without MCI (T2DM-nMCI). Pearson analysis of the omics data with MMSE (mini-mental state examination), Aβ1-42/Aβ1-40 (β-amyloid), and rGSK-3β(T/S9) (total to Serine-9-phosphorylated glycogen synthase kinase-3β) revealed that mitophagy/autophagy-, insulin signaling-, and glycolysis/gluconeogenesis pathways-related proteins were most significantly involved. Among them, only the increase of optineurin, an autophagy-related protein, was simultaneously correlated with the reduced MMSE score, and the increased Aβ1-42/Aβ1-40 and rGSK-3β(T/S9), and the optineurin alone could discriminate T2DM-MCI from T2DM-nMCI. Combination of the elevated platelet optineurin and rGSK-3β(T/S9) enhanced the MCI-discriminating efficiency with AUC of 0.927, specificity of 86.7%, sensitivity of 85.3%, and accuracy of 0.859, which is promising for predicting cognitive decline in T2DM patients.
Insights
Type 2 diabetes (T2DM) patients with cognitive decline show altered platelet proteins. Increased optineurin levels may help predict Alzheimer's disease (AD) risk in these individuals.
Area of Science:
- Biochemistry
- Neuroscience
- Endocrinology
Background:
- Type 2 diabetes mellitus (T2DM) is a significant risk factor for Alzheimer's disease (AD).
- Early identification of peripheral biomarkers for mild cognitive impairment (MCI) in T2DM patients is crucial for AD prediction.
- Platelet proteomics offers a potential avenue for discovering such biomarkers.
Purpose of the Study:
- To identify peripheral protein biomarkers in platelets associated with mild cognitive impairment (MCI) in patients with Type 2 diabetes mellitus (T2DM).
- To investigate the correlation between specific platelet proteins and cognitive function, amyloid levels, and GSK-3β phosphorylation in T2DM patients.
Main Methods:
- Platelet proteomic analysis was conducted on T2DM patients with (T2DM-MCI) and without (T2DM-nMCI) mild cognitive impairment.
- Pearson correlation analysis was used to assess relationships between protein expression and cognitive scores (MMSE), Aβ1-42/Aβ1-40 ratio, and rGSK-3β(T/S9).
- Machine learning models were employed to evaluate the diagnostic efficiency of identified biomarkers.
Main Results:
- Mitophagy/autophagy, insulin signaling, and glycolysis/gluconeogenesis pathways were significantly implicated in T2DM-MCI.
- Increased optineurin, an autophagy-related protein, correlated with reduced MMSE, elevated Aβ1-42/Aβ1-40, and increased rGSK-3β(T/S9).
- Optineurin alone could distinguish T2DM-MCI from T2DM-nMCI; a combination with rGSK-3β(T/S9) achieved high diagnostic accuracy (AUC 0.927).
Conclusions:
- Platelet optineurin is a promising biomarker for predicting cognitive decline in T2DM patients.
- Combined analysis of platelet optineurin and rGSK-3β(T/S9) shows potential for early AD risk assessment in T2DM.
- These findings highlight the role of autophagy and related pathways in the T2DM-associated cognitive impairment.
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