Proteomic Analysis of Mouse Kidney Tissue Associates Peroxisomal Dysfunction with Early Diabetic Kidney Disease

Επιστημονική δημοσίευση - Άρθρο Περιοδικού uoadl:3034311 30 Αναγνώσεις

Μονάδα:
Ερευνητικό υλικό ΕΚΠΑ
Τίτλος:
Proteomic Analysis of Mouse Kidney Tissue Associates Peroxisomal
Dysfunction with Early Diabetic Kidney Disease
Γλώσσες Τεκμηρίου:
Αγγλικά
Περίληψη:
Background: The absence of efficient inhibitors for diabetic kidney
disease (DKD) progression reflects the gaps in our understanding of DKD
molecular pathogenesis. Methods: A comprehensive proteomic analysis was
performed on the glomeruli and kidney cortex of diabetic mice with the
subsequent validation of findings in human biopsies and omics datasets,
aiming to better understand the underlying molecular biology of early
DKD development and progression. Results: LC-MS/MS was employed to
analyze the kidney proteome of 2 DKD models: Ins2Akita (early and late
DKD) and db/db mice (late DKD). The abundance of detected proteins was
defined. Pathway analysis of differentially expressed proteins in the
early and late DKD versus the respective controls predicted
dysregulation in DKD hallmarks (peroxisomal lipid metabolism and
beta-oxidation), supporting the functional relevance of the findings.
Comparing the observed protein changes in early and late DKD, the
consistent upregulation of 21 and downregulation of 18 proteins was
detected. Among these were downregulated peroxisomal and upregulated
mitochondrial proteins. Tissue sections from 16 DKD patients were
analyzed by IHC confirming our results. Conclusion: Our study shows an
extensive differential expression of peroxisomal proteins in the early
stages of DKD that persists regardless of the disease severity,
providing new perspectives and potential markers of diabetic kidney
dysfunction.
Έτος δημοσίευσης:
2022
Συγγραφείς:
Tserga, Aggeliki
Pouloudi, Despoina
Saulnier-Blache, Jean
Sebastien
Stroggilos, Rafael
Theochari, Irene
Gakiopoulou,
Harikleia
Mischak, Harald
Zoidakis, Jerome
Schanstra, Joost
Peter
Vlahou, Antonia
Makridakis, Manousos
Περιοδικό:
BioMedicine
Εκδότης:
MDPI
Τόμος:
10
Αριθμός / τεύχος:
2
Λέξεις-κλειδιά:
diabetes; diabetic kidney disease; proteomics; kidney; LC-MS; MS;
biomarker; peroxisome; glomeruli
Επίσημο URL (Εκδότης):
DOI:
10.3390/biomedicines10020216
Το ψηφιακό υλικό του τεκμηρίου δεν είναι διαθέσιμο.