⮝ Full datasets listing
PXD044751
PXD044751 is an original dataset announced via ProteomeXchange.
Dataset Summary
| Title | A multiplexed urinary biomarker panel has potential for Alzheimer’s Disease Diagnosis using targeted proteomics and machine learning |
| Description | As disease-modifying therapies are now available for Alzheimer’s disease (AD), accessible, accurate and affordable biomarkers to support diagnosis are urgently needed. We sought to develop a mass spectrometry-based urine test as a high-throughput screening tool for diagnosing AD. We collected urine from a discovery cohort (n=11) of well characterised individuals with AD (n=6) and their asymptomatic, CSF biomarker negative study partners (n=5) and used untargeted proteomics for biomarker discovery. Protein biomarkers identified were taken forward to develop a high-throughput, multiplexed and targeted proteomic assay which was tested on an independent cohort (n=21). The panel of proteins identified are known to be involved in AD pathogenesis. In comparing AD and controls, a panel of proteins including MIEN1, TNFB, VCAM1, REG1B and ABCA7 had a classification accuracy of 86%. These proteins have been previously implicated in AD pathogenesis. This suggests that urine targeted mass spectrometry has potential utility as a diagnostic screening tool in AD. |
| HostingRepository | PanoramaPublic |
| AnnounceDate | 2026-05-04 |
| AnnouncementXML | Submission_2026-05-04_21:01:25.097.xml |
| DigitalObjectIdentifier | |
| ReviewLevel | Peer-reviewed dataset |
| DatasetOrigin | Original dataset |
| RepositorySupport | Supported dataset by repository |
| PrimarySubmitter | Jenny Hallqvist |
| SpeciesList | scientific name: Homo sapiens; NCBI TaxID: 9606; |
| ModificationList | Carbamidomethyl; Label:13C(6)15N(2); Label:13C(6)15N(4) |
| Instrument | Xevo TQ-S; ACQUITY UPLC |
Dataset History
| Revision | Datetime | Status | ChangeLog Entry |
|---|---|---|---|
| 0 | 2023-08-22 14:27:06 | ID requested | |
| ⏵ 1 | 2026-05-04 21:01:26 | announced |
Publication List
| H, ä, llqvist J, Pinto RC, Heywood WE, Cordey J, Foulkes AJM, Slattery CF, Leckey CA, Murphy EC, Zetterberg H, Schott JM, Mills K, Paterson RW, A Multiplexed Urinary Biomarker Panel Has Potential for Alzheimer's Disease Diagnosis Using Targeted Proteomics and Machine Learning. Int J Mol Sci, 24(18):(2023) [pubmed] |
Keyword List
| submitter keyword: Alzheimer’s, urine, machine learning, biomarkers, proteomics, mass spectrometry, diagnosis |
Contact List
| Kevin Mills | |
|---|---|
| contact affiliation | Great Ormond Street Institute of Child Health, University College London |
| contact email | kevin.mills@ucl.ac.uk |
| lab head | |
| Jenny Hallqvist | |
| contact affiliation | Great Ormond Street Institute of Child Health, University College London |
| contact email | j.hallqvist@ucl.ac.uk |
| dataset submitter | |
Full Dataset Link List
| Panorama Public dataset URI |
