PXD027870

PXD027870 is an original dataset announced via ProteomeXchange.

Title	Discovering new peripheral plasma biomarkers to identify cognitive decline in type 2 diabetes
Description	Type 2 diabetes mellitus (T2DM) is an independent risk factor of Alzheimer's disease (AD), thus, identifying who among the increasing T2DM populations may develop into AD is important for early intervention. By using TMT-labeling coupled high-throughput mass spectrometry, we conducted a comprehensive plasma proteomic analysis in none-T2DM people (Ctrl, n=30), and the age-/sex-matched T2DM patients with mild cognitive impairment (T2DM-MCI, n=30) or T2DM without MCI (T2DM-nMCI, n=25). The candidate biomarkers identified by proteomics and bioinformatics analyses were verified by ELISA, and their diagnostic capabilities were evaluated with machine learning. A total of 53 differentially expressed proteins (DEPs) were identified in T2DM-MCI compared with T2DM-nMCI patients. These DEPs were significantly enriched in multiple biological processes, such as amyloid neuropathies, CNS disorders, and metabolic acidosis. Among the DEPs, alpha-1-antitrypsin (SERPINA1), major viral protein (PRNP), valosin-containing protein (VCP) showed strong collection with AD high-risk genes APP, MAPT, APOE, PSEN1, and PSEN2. And the levels of PP2A cancer inhibitor (CIP2A), PRNP, corticotropin releasing factor binding protein (CRHBP) were significantly increased, while the level of VCP was decreased in T2DM-MCI patients compared with the T2DM-nMCI, and these changes were correlated with the mini-mental state examination (MMSE) score. Further machine learning data showed that increases of CIP2A, ratio of β-amyloid (rAβ42/40), and rGSK-3β(T/S9) (ratio of total to serine-9-phosphorylated glycogen synthase kinase-3β) had the greatest power to identify mild cognitive decline in T2DM patients.
HostingRepository	PRIDE
AnnounceDate	2023-11-14
AnnouncementXML	Submission_2023-11-14_08:39:20.668.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	haitao Yu
SpeciesList	scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationList	TMT6plex-126 reporter+balance reagent acylated residue
Instrument	Q Exactive HF

Revision	Datetime	Status	ChangeLog Entry
0	2021-08-11 07:48:41	ID requested
1	2023-03-11 00:24:25	announced
⏵ 2	2023-11-14 08:39:23	announced	2023-11-14: Updated project metadata.

Yu H, Gao Y, He T, Li M, Zhang Y, Zheng J, Jiang B, Chen C, Ke D, Liu Y, Wang JZ, Discovering new peripheral plasma biomarkers to identify cognitive decline in type 2 diabetes. Front Cell Dev Biol, 10():818141(2022) [pubmed]

submitter keyword: Type 2 diabetes, mild cognitive impairment, proteomics, CIP2A, Alzheimer's disease, diagnostic biomarkers

Jian-Zhi Wang
contact affiliation	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
contact email	wangjz@mail.hust.edu.cn
lab head
haitao Yu
contact affiliation	Department of Pathophysiology, School of Basic Medicine and the Collaborative Innovation Center for Brain Science, Key Laboratory of Ministry of Education of China and Hubei Province for Neurological Disorders, Tongji Medical College, Huazhong University of Science and Technology
contact email	2647220207@qq.com
dataset submitter

Dataset FTP location NOTE: Most web browsers have now discontinued native support for FTP access within the browser window. But you can usually install another FTP app (we recommend FileZilla) and configure your browser to launch the external application when you click on this FTP link. Or otherwise, launch an app that supports FTP (like FileZilla) and use this address: ftp://ftp.pride.ebi.ac.uk/pride/data/archive/2023/03/PXD027870

PRIDE project URI

• PRIDE
  1. PXD027870
     1. Label: PRIDE project
     2. Name: Discovering new peripheral plasma biomarkers to identify cognitive decline in type 2 diabetes