Cargando…
Platelet biomarkers identifying mild cognitive impairment in type 2 diabetes patients
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 (T2...
Autores principales: | , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8520722/ https://www.ncbi.nlm.nih.gov/pubmed/34528736 http://dx.doi.org/10.1111/acel.13469 |
_version_ | 1784584730479427584 |
---|---|
author | Yu, Haitao Liu, Yanchao He, Ting Zhang, Yao He, Jiahua Li, Mengzhu Jiang, Bijun Gao, Yang Chen, Chongyang Ke, Dan Liu, Jianjun He, Benrong Yang, Xifei Wang, Jian‐Zhi |
author_facet | Yu, Haitao Liu, Yanchao He, Ting Zhang, Yao He, Jiahua Li, Mengzhu Jiang, Bijun Gao, Yang Chen, Chongyang Ke, Dan Liu, Jianjun He, Benrong Yang, Xifei Wang, Jian‐Zhi |
author_sort | Yu, Haitao |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8520722 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-85207222021-10-25 Platelet biomarkers identifying mild cognitive impairment in type 2 diabetes patients Yu, Haitao Liu, Yanchao He, Ting Zhang, Yao He, Jiahua Li, Mengzhu Jiang, Bijun Gao, Yang Chen, Chongyang Ke, Dan Liu, Jianjun He, Benrong Yang, Xifei Wang, Jian‐Zhi Aging Cell Original Papers 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. John Wiley and Sons Inc. 2021-09-16 2021-10 /pmc/articles/PMC8520722/ /pubmed/34528736 http://dx.doi.org/10.1111/acel.13469 Text en © 2021 The Authors. Aging Cell published by Anatomical Society and John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Papers Yu, Haitao Liu, Yanchao He, Ting Zhang, Yao He, Jiahua Li, Mengzhu Jiang, Bijun Gao, Yang Chen, Chongyang Ke, Dan Liu, Jianjun He, Benrong Yang, Xifei Wang, Jian‐Zhi Platelet biomarkers identifying mild cognitive impairment in type 2 diabetes patients |
title | Platelet biomarkers identifying mild cognitive impairment in type 2 diabetes patients |
title_full | Platelet biomarkers identifying mild cognitive impairment in type 2 diabetes patients |
title_fullStr | Platelet biomarkers identifying mild cognitive impairment in type 2 diabetes patients |
title_full_unstemmed | Platelet biomarkers identifying mild cognitive impairment in type 2 diabetes patients |
title_short | Platelet biomarkers identifying mild cognitive impairment in type 2 diabetes patients |
title_sort | platelet biomarkers identifying mild cognitive impairment in type 2 diabetes patients |
topic | Original Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8520722/ https://www.ncbi.nlm.nih.gov/pubmed/34528736 http://dx.doi.org/10.1111/acel.13469 |
work_keys_str_mv | AT yuhaitao plateletbiomarkersidentifyingmildcognitiveimpairmentintype2diabetespatients AT liuyanchao plateletbiomarkersidentifyingmildcognitiveimpairmentintype2diabetespatients AT heting plateletbiomarkersidentifyingmildcognitiveimpairmentintype2diabetespatients AT zhangyao plateletbiomarkersidentifyingmildcognitiveimpairmentintype2diabetespatients AT hejiahua plateletbiomarkersidentifyingmildcognitiveimpairmentintype2diabetespatients AT limengzhu plateletbiomarkersidentifyingmildcognitiveimpairmentintype2diabetespatients AT jiangbijun plateletbiomarkersidentifyingmildcognitiveimpairmentintype2diabetespatients AT gaoyang plateletbiomarkersidentifyingmildcognitiveimpairmentintype2diabetespatients AT chenchongyang plateletbiomarkersidentifyingmildcognitiveimpairmentintype2diabetespatients AT kedan plateletbiomarkersidentifyingmildcognitiveimpairmentintype2diabetespatients AT liujianjun plateletbiomarkersidentifyingmildcognitiveimpairmentintype2diabetespatients AT hebenrong plateletbiomarkersidentifyingmildcognitiveimpairmentintype2diabetespatients AT yangxifei plateletbiomarkersidentifyingmildcognitiveimpairmentintype2diabetespatients AT wangjianzhi plateletbiomarkersidentifyingmildcognitiveimpairmentintype2diabetespatients |