<<< Full experiment listing

PXD007531

PXD007531 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleProteomics based identification and validation of biomarkers for AMD
DescriptionAge related macular degeneration (AMD) is one of the leading causes of irreversible central vision loss in the elderly population. According to the WHO estimates, AMD globally ranks third in causing vision impairment with a blindness prevalence of 8.7%.There is no cure for AMD; however,if it is diagnosed at an early stage, its progression can be slowed down by maintaining a healthy life style. Studies have been carried out to identify biomarkers in the plasma or serum of AMD patients. However, a consensus has not been reached with respect to an ideal biomarker which can predict and prognosticate the disease at an earlier stage. This can be attributed to the differences in the ethnicity and other geographical differences, which makes it important to conduct the study in specific regions.The current study aims to findnon-invasive prognostic biomarkers in the urine specimens of the AMD patients. Comparative proteomic analysis of urine samples from Early AMD, Choroidalneovascular membrane(CNVM) , Geographic atrophy(GA) and healthy controls was performed using Tandem mass tags (TMT) followed by mass spectrometry. Out of 751 proteins identified 383 proteins were found to be differentially expressed in various groups of AMD patients. Gene ontology classification of differentially expressed proteins revealed majority of them were involved in catalytic functions and binding activities. Pathway analysis showed, cell adhesion molecule pathways (CAMs), Complement and coagulation cascades, to be significantly deregulated in AMD. Upon validation by ELISA, SERPINA-1, TIMP-1, APOA-1 were significantly over expressed in AMD patients compared to the controls. A logistic model of APOA-1 in combination with CFH and C3 polymorphisms predicted the risk of developing AMD with 82% accuracy. This study gives us a preliminary data on non invasive biomarkers for AMD, which can be further validated in a large cohort and translated for diagnostic use.
HostingRepositoryPRIDE
AnnounceDate2023-11-14
AnnouncementXMLSubmission_2023-11-14_08:49:21.913.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterKrishnakumar Subramanian
SpeciesList scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationListTMT6plex-126 reporter+balance reagent acylated residue; monohydroxylated residue; iodoacetamide derivatized residue
InstrumentOrbitrap Fusion
Dataset History
RevisionDatetimeStatusChangeLog Entry
02017-08-22 03:53:53ID requested
12022-03-02 02:48:29announced
22023-11-14 08:49:22announced2023-11-14: Updated project metadata.
Publication List
Dataset with its publication pending
Keyword List
curator keyword: Biological, Biomedical
submitter keyword: AMD, Urine, Biomarkers
Contact List
Dr. S.Krishnakumar
contact affiliationDept of pathology, Vision research foundation, Chennai, India
contact emaildrkk@snmail.org
lab head
Krishnakumar Subramanian
contact affiliationVision research foundation, Chennai-06
contact emaildrkk@snmail.org
dataset submitter
Full Dataset Link List
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/2022/03/PXD007531
PRIDE project URI
Repository Record List
[ + ]