PXD044371

PXD044371 is an original dataset announced via ProteomeXchange.

Title	Comprehensive Landscape of SA-AKI Revealed by Integrated Proteomics and Metabolomics Analysis
Description	Sepsis-associated acute kidney injury (SA-AKI) is a severe and life-threatening condi-tion with high morbidity and mortality among emergency patients, and it poses a sig-nificant risk of chronic renal failure. Clinical treatments for SA-AKI remain reactive and non-specific, lacking effective diagnostic biomarkers or treatment targets. In this study, we established an SA-AKI mouse model using LPS and performed proteomics and metabolomics analyses. A variety of bioinformatic analyses, including Gene Set En-richment Analysis (GSEA), Weighted Gene Co-expression Network Analysis (WGCNA), protein and protein interactions (PPI), and MetaboAnalyst analysis, were conducted to investigate the key molecules of SA-AKI. Proteomics and metabolomics analyses re-vealed that sepsis led to impaired renal mitochondrial function and metabolic disorders. Immune-related pathways were found to be activated in kidneys upon septic infection. The catabolic products of polyamines accumulated in septic kidneys. Overall, our study provides a more comprehensive understanding of SA-AKI and identifies potential pathways for this condition.
HostingRepository	PRIDE
AnnounceDate	2023-11-14
AnnouncementXML	Submission_2023-11-14_09:06:38.447.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Jiatong Xu
SpeciesList	scientific name: Mus musculus (Mouse); NCBI TaxID: 10090;
ModificationList	No PTMs are included in the dataset
Instrument	Q Exactive HF-X

Revision	Datetime	Status	ChangeLog Entry
0	2023-08-04 19:45:33	ID requested
1	2023-10-24 10:37:59	announced
⏵ 2	2023-11-14 09:06:39	announced	2023-11-14: Updated project metadata.

Xu J, Li J, Li Y, Shi X, Zhu H, Chen L, Multidimensional Landscape of SA-AKI Revealed by Integrated Proteomics and Metabolomics Analysis. Biomolecules, 13(9):(2023) [pubmed]

submitter keyword: SA-AKI

proteomics

metabolomics

biomarker

mitochondrial dysfunction

Huadong Zhu
contact affiliation	Emergency Department, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College
contact email	zhuhuadong1970@126.com
lab head
Jiatong Xu
contact affiliation	Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College
contact email	xujt20@163.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/2023/10/PXD044371

PRIDE project URI

• PRIDE
  1. PXD044371
     1. Label: PRIDE project
     2. Name: Comprehensive Landscape of SA-AKI Revealed by Integrated Proteomics and Metabolomics Analysis