Exploring Temporal and Sex-Linked Dysregulation in Alzheimer's Disease Phospho-Proteome.


Journal

bioRxiv : the preprint server for biology
Titre abrégé: bioRxiv
Pays: United States
ID NLM: 101680187

Informations de publication

Date de publication:
17 Aug 2023
Historique:
pubmed: 30 8 2023
medline: 30 8 2023
entrez: 30 8 2023
Statut: epublish

Résumé

This study aims to characterize dysregulation of phosphorylation for the 5XFAD mouse model of Alzheimer's disease (AD). Employing global phosphoproteome measurements, we analyze temporal (3, 6, 9 months) and sex-dependent effects on mouse hippocampus tissue to unveil molecular signatures associated with AD initiation and progression. Our results indicate 1.9 to 4.4 times higher phosphorylation prevalence compared to protein expression across all time points, with approximately 4.5 times greater prevalence in females compared to males at 3 and 9 months. Moreover, our findings reveal consistent phosphorylation of known AD biomarkers APOE and GFAP in 5XFAD mice, alongside novel candidates BIG3, CLCN6 and STX7, suggesting their potential as biomarkers for AD pathology. In addition, we identify PDK1 as a significantly dysregulated kinase at 9 months in females, and the regulation of gap junction activity as a key pathway associated with Alzheimer's disease across all time points. AD-Xplorer, the interactive browser of our dataset, enables exploration of AD-related changes in phosphorylation, protein expression, kinase activities, and pathways. AD-Xplorer aids in biomarker discovery and therapeutic target identification, emphasizing temporal and sex-specific nature of significant phosphoproteomic signatures. Available at: https://yilmazs.shinyapps.io/ADXplorer.

Identifiants

pubmed: 37645993
doi: 10.1101/2023.08.15.553056
pmc: PMC10461982
pii:
doi:

Types de publication

Preprint

Langues

eng

Subventions

Organisme : NIGMS NIH HHS
ID : R01 GM117208
Pays : United States
Organisme : NLM NIH HHS
ID : R01 LM012980
Pays : United States
Organisme : NIH HHS
ID : S10 OD026882
Pays : United States
Organisme : NIH HHS
ID : S10 OD028614
Pays : United States

Auteurs

Serhan Yılmaz (S)

Department of Computer and Data Sciences, Case Western Reserve University.

Filipa Blasco Tavares Pereira Lopes (FBT)

Department of Nutrition, School of Medicine, Case Western Reserve University.
Center for Proteomics and Bioinformatics, Case Western Reserve University.

Daniela Schlatzer (D)

Department of Nutrition, School of Medicine, Case Western Reserve University.
Center for Proteomics and Bioinformatics, Case Western Reserve University.

Rihua Wang (R)

Department of Physiology & Biophysics, Case Western Reserve University.
Center for Mitochondrial Diseases, Case Western Reserve University.

Xin Qi (X)

Department of Physiology & Biophysics, Case Western Reserve University.
Center for Mitochondrial Diseases, Case Western Reserve University.

Mehmet Koyutürk (M)

Department of Computer and Data Sciences, Case Western Reserve University.
Center for Proteomics and Bioinformatics, Case Western Reserve University.

Mark R Chance (MR)

Department of Nutrition, School of Medicine, Case Western Reserve University.
Center for Proteomics and Bioinformatics, Case Western Reserve University.

Classifications MeSH