PXD045874-1

PXD045874 is an original dataset announced via ProteomeXchange.

Title	MOLECULAR MARKERS FOR CHRONIC KIDNEY DISEASE
Description	In Brazil, the incidence and prevalence of CKD are increasing, the prognosis remains poor and the costs of treating the disease are very high. Added to this is the increase in the main risk factors for the development and progression of CKD, such as greater aging of the population, high prevalence of AH, DM, overweight, smoking and others, which suggests the continuation of CKD as a serious problem of public health. This situation requires prevention actions, early diagnosis of the disease and agile action in the face of the functional changes evidenced. Furthermore, there is a need to find ways to prevent the progression of the disease. A disturbing issue in nephrology practice is the observation that a significant number of CKD patients lose renal function asymptomatically. One of the reasons is late diagnosis and referral to dialysis. The main causes are: the fact that CKD is often asymptomatic, difficulty in diagnosis, tendency of doctors not to refer patients adequately, selection of patients with less morbidities to start dialysis, resistance of patients to treatment, deficient structure of the health system and lack of access to treatment. The consequences of late referral are reflected in greater morbidity, mortality, costs and worse quality of life. In this sense, it is important to search for new markers of the disease that allow early diagnosis, monitoring of progression and, eventually, improving response to treatment. Analyzing mechanisms underlying renal failure and identifying unique biomarkers (such as metabolite ratios) have the potential to increase our understanding of CKD and improve disease diagnosis and treatment algorithms. In this sense, this project can represent important progress in CKD proteomics research, based on complex information obtained from proteomics associated with basic medical information. New biomarkers are needed as non-invasive tools to aid the accurate diagnosis of kidney diseases with similar clinical characteristics but different prognosis. This project aims to investigate the proteomics of saliva from chronic kidney disease patients in the search for molecular markers that can be used in both the diagnosis and prognosis of the disease. So, for this, it was necessary to select healthy individuals and chronic kidney disease patients, and collect sociodemographic, behavioral, food consumption, clinical and anthropometric data from these individuals. Next, the mass spectrometry proteomics technique was performed on saliva samples and investigated molecules that could be used as markers of CKD and other associated comorbidities, in addition to evaluating whether any molecule could be indicative of the progression of CKD.
HostingRepository	PRIDE
AnnounceDate	2024-12-17
AnnouncementXML	Submission_2024-12-17_11:11:21.202.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Bianca Picolo
SpeciesList	scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationList	No PTMs are included in the dataset
Instrument	6520A Quadrupole Time-of-Flight LC/MS

Revision	Datetime	Status	ChangeLog Entry
0	2023-10-03 04:57:41	ID requested
⏵ 1	2024-12-17 11:11:21	announced

10.3389/FMED.2024.1302637;

submitter keyword: PROTEOMIC, SALIVA,CHRONIC KIDNEY DISEASE, LC-MS/MS

Luciana Saraiva da Silva
contact affiliation	Faculty of Medicine, Federal University of Uberlândia, Uberlândia, MG, Brazil
contact email	luciana.saraiva@ufu.br
lab head
Bianca Picolo
contact affiliation	Federal University of Uberlandia
contact email	bianca_uliana@hotmail.com
dataset submitter

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/2024/12/PXD045874

PRIDE project URI

• PRIDE
  1. PXD045874
     1. Label: PRIDE project
     2. Name: MOLECULAR MARKERS FOR CHRONIC KIDNEY DISEASE