PXD051271-1
PXD051271 is an original dataset announced via ProteomeXchange.
Dataset Summary
| Title | Population scale proteomics enables adaptive digital twin modelling in sepsis |
| Description | 1364 plasma proteome samples taken at time-of-admission to the emergency department from patients suspected of sepsis. Used initially with the following abstract: Sepsis is one of the leading causes of mortality in the world. Currently, the heterogeneity of sepsis makes it challenging to determine the molecular mechanisms that define the syndrome. Here, we leverage population scale proteomics to analyze a well-defined cohort of 1364 blood samples taken at time-of-admission to the emergency department from patients suspected of sepsis. We identified panels of proteins using explainable artificial intelligence that predict clinical outcomes and applied these panels to reduce high-dimensional proteomics data to a low-dimensional interpretable latent space (ILS). Using the ILS, we constructed an adaptive digital twin model that accurately predicted organ dysfunction, mortality, and early-mortality-risk patients using only data available at time-of-admission. In addition to being highly effective for investigating sepsis, this approach supports the flexible incorporation of new data and can generalize to other diseases to aid in translational research and the development of precision medicine. |
| HostingRepository | MassIVE |
| AnnounceDate | 2024-04-08 |
| AnnouncementXML | Submission_2024-04-09_00:42:24.982.xml |
| DigitalObjectIdentifier | |
| ReviewLevel | Non peer-reviewed dataset |
| DatasetOrigin | Original dataset |
| RepositorySupport | Unsupported dataset by repository |
| PrimarySubmitter | Aaron Scott |
| SpeciesList | scientific name: Homo sapiens; common name: human; NCBI TaxID: 9606; |
| ModificationList | No PTMs are included in the dataset |
| Instrument | timsTOF Pro |
Dataset History
| Revision | Datetime | Status | ChangeLog Entry |
|---|---|---|---|
| 0 | 2024-04-08 03:25:01 | ID requested | |
| ⏵ 1 | 2024-04-09 00:42:25 | announced |
Publication List
| no publication |
Keyword List
| submitter keyword: sepsis, DIA, diaPASEF, plasma |
Contact List
| Johan Malmstrom | |
|---|---|
| contact affiliation | Division of Infection Medicine, Department of Clinical Sciences, Faculty of Medicine, Lund University |
| contact email | johan.malmstrom@med.lu.se |
| lab head | |
| Adam Linder | |
| contact affiliation | Division of Infection Medicine, Department of Clinical Sciences, Faculty of Medicine, Lund University |
| contact email | adam.linder@med.lu.se |
| lab head | |
| Aaron Scott | |
| contact affiliation | Lund University |
| contact email | aaron.scott@med.lu.se |
| dataset submitter | |
Full Dataset Link List
| MassIVE dataset URI |
| 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://massive.ucsd.edu/v07/MSV000094486/ |
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