PXD053895
PXD053895 is an original dataset announced via ProteomeXchange.
Dataset Summary
| Title | Serum Proteomics Identifies Biomarkers for Predicting Non-survivors in Elderly COVID-19 Patients |
| Description | In December 2022, China ceased the zero-COVID-19 policy, resulting in an increase in hospitalizations and deaths due to COVID-19, particularly among the elderly population. There is a pressing need to understand the disease progress and predict the survival outcomes of elderly patients to reduce the mortality rate. We applied 4D-DIA mass spectrometry for serum proteome analysis and provided a comprehensive characterization of disease features in elderly patients within the Chinese population. Our study elucidated that immune disorders, lung damage, and cardiovascular disorders are predominant causes of death in these patients. Compared to clinical indices, proteomic analysis is more sensitive in tracing these disorders. We also provided a prediction panel for survival outcomes of elderly patients using levels of CXCL10, CXCL16 and IL1RA, which were validated by ELISA. These biomarkers will help improve predictive efficacy for survival outcomes in elderly patients. |
| HostingRepository | iProX |
| AnnounceDate | 2024-07-12 |
| AnnouncementXML | Submission_2024-09-01_20:09:48.908.xml |
| DigitalObjectIdentifier | |
| ReviewLevel | Peer-reviewed dataset |
| DatasetOrigin | Original dataset |
| RepositorySupport | Unsupported dataset by repository |
| PrimarySubmitter | Haohao Tang |
| SpeciesList | scientific name: Homo sapiens; NCBI TaxID: 9606; |
| ModificationList | No PTMs are included in the dataset |
| Instrument | timsTOF Pro |
Dataset History
| Revision | Datetime | Status | ChangeLog Entry |
|---|---|---|---|
| 0 | 2024-07-11 19:33:32 | ID requested | |
| 1 | 2024-07-11 19:35:19 | announced | |
| ⏵ 2 | 2024-09-01 20:09:49 | announced | 2024-09-02: Update information. |
Publication List
| Dataset with its publication pending |
Keyword List
| submitter keyword: Serum proteomics features, COVID-19 |
Contact List
| Yang Chen | |
|---|---|
| contact affiliation | Peking University Health Science Center |
| contact email | chenyang1816185048@bjmu.edu.cn |
| lab head | |
| Haohao Tang | |
| contact affiliation | Peking University Health Science Center |
| contact email | Tanghaohao0987@163.com |
| dataset submitter | |
Full Dataset Link List
| iProX dataset URI |
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