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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\u2010MCI) and without MCI (T2DM\u2010nMCI). Pearson analysis of the omics data with MMSE (mini\u2010mental state examination), A\u03b21\u201042\/A\u03b21\u201040 (\u03b2\u2010amyloid), and rGSK\u20103\u03b2(T\/S9) (total to Serine\u20109\u2010phosphorylated glycogen synthase kinase\u20103\u03b2) revealed that mitophagy\/autophagy\u2010, insulin signaling\u2010, and glycolysis\/gluconeogenesis pathways\u2010related proteins were most significantly involved. Among them, only the increase of optineurin, an autophagy\u2010related protein, was simultaneously correlated with the reduced MMSE score, and the increased A\u03b21\u201042\/A\u03b21\u201040 and rGSK\u20103\u03b2(T\/S9), and the optineurin alone could discriminate T2DM\u2010MCI from T2DM\u2010nMCI. Combination of the elevated platelet optineurin and rGSK\u20103\u03b2(T\/S9) enhanced the MCI\u2010discriminating 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.<\/jats:p>","DOI":"10.1111\/acel.13469","type":"journal-article","created":{"date-parts":[[2021,9,16]],"date-time":"2021-09-16T10:44:21Z","timestamp":1631789061000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":29,"title":["Platelet biomarkers identifying mild cognitive impairment in type 2 diabetes patients"],"prefix":"10.1111","volume":"20","author":[{"given":"Haitao","family":"Yu","sequence":"first","affiliation":[{"name":"Department 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"},{"name":"Key Laboratory 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