PXD066966-1

PXD066966 is an original dataset announced via ProteomeXchange.

Title	Proteomic characteristics of diabetic patients infected with SARS-CoV-2 Omicron variant
Description	We comprehensively characterized alterations in the serum proteome through proteomic analysis. A total of 2,297 high-confidence proteins were identified. Principal Component Analysis (PCA) based on protein expression levels revealed inter-sample relationships across multiple dimensions. The results demonstrated distinct clustering patterns between mild and severe infection groups in protein expression profiles. Partial overlap was observed between diabetes-associated mild and severe infection groups. Pairwise comparisons revealed distinguishable proteomic signatures among all groups. Differential analysis identified 1,325 statistically significant proteins between severe and mild cases. These comprised approximately 1,000 upregulated and 397 downregulated proteins. Prominent upregulated proteins in severe cases included SH3KBP1, FCER1G, FUBP1, LAMP1, GSDMD, RPL36, RBX1, CAPG, CPPED1, and SAMSN1. Significant downregulation was observed in AEBP1, BCHE, TRPM2, PRSS3, SMU1, SFRP4, SPOCK3, PHF14, UNC13B, and CTSV. These proteomic alterations indicate a hyperactivated stress response in severe patients. Enhanced immune-inflammatory activation co-occurred with suppressed cellular repair and metabolic regulation. Such dysregulation may exacerbate inflammatory tissue damage, cellular apoptosis, and multi-organ dysfunction. This pathophysiological cascade underlies the development of severe clinical complications.
HostingRepository	iProX
AnnounceDate	2025-08-05
AnnouncementXML	Submission_2026-06-15_20:13:40.462.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Yanhua Li
SpeciesList	scientific name: Homo sapiens; NCBI TaxID: 9606;
ModificationList	No PTMs are included in the dataset
Instrument	timsTOF Pro

Revision	Datetime	Status	ChangeLog Entry
0	2025-08-04 23:47:35	ID requested
⏵ 1	2026-06-15 20:13:40	announced

Dataset with its publication pending

submitter keyword: Diabetes, Severe Disease, COVID-19, Serology, Proteomics

Fu Gao
contact affiliation	Institute of Microbiology, Chinese Academy of Sciences
contact email	gaof@im.ac.cn
lab head
Yanhua Li
contact affiliation	Institute of Microbiology, Chinese Academy of Sciences
contact email	liyh@im.ac.cn
dataset submitter

iProX dataset URI