Analyses of Proteinuria, Renal Infiltration of Leukocytes, and Renal Deposition of Proteins in Lupus-prone MRL/lpr Mice.


Journal

Journal of visualized experiments : JoVE
ISSN: 1940-087X
Titre abrégé: J Vis Exp
Pays: United States
ID NLM: 101313252

Informations de publication

Date de publication:
08 06 2022
Historique:
entrez: 27 6 2022
pubmed: 28 6 2022
medline: 30 6 2022
Statut: epublish

Résumé

Systemic lupus erythematosus (SLE) is an autoimmune disorder with no known cure and is characterized by persistent inflammation in many organs, including the kidneys. Under such circumstances, the kidney loses its ability to clean waste from the blood and regulate salt and fluid concentrations, eventually leading to renal failure. Women, particularly those of childbearing age, are diagnosed nine times more often than men. Kidney disease is the leading cause of mortality in SLE patients. The present protocol describes a quick and simple method to measure excreted protein levels in collected urine, tracking lupus progression over time. In addition, an approach to isolate kidney mononuclear cells is provided based on size and density selection to investigate renal infiltration of leukocytes. Furthermore, an immunohistochemical method has been developed to characterize protein deposition in the glomeruli and leukocyte infiltration in the tubulointerstitial space. Together, these methods can help investigate the progression of chronic inflammation associated with the kidneys of lupus-prone MRL/lpr mice.

Identifiants

pubmed: 35758671
doi: 10.3791/63506
doi:

Types de publication

Journal Article Video-Audio Media Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Xavier Cabana-Puig (X)

Department of Biomedical Sciences and Pathobiology, Virginia-Maryland College of Veterinary Medicine, Virginia Polytechnic Institute and State University; xavier91@vt.edu.

Xin M Luo (XM)

Department of Biomedical Sciences and Pathobiology, Virginia-Maryland College of Veterinary Medicine, Virginia Polytechnic Institute and State University; xinluo@vt.edu.

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Classifications MeSH