The spatially resolved transcriptome signatures of glomeruli in chronic kidney disease.

Chronic kidney disease Nephrology

Journal

JCI insight
ISSN: 2379-3708
Titre abrégé: JCI Insight
Pays: United States
ID NLM: 101676073

Informations de publication

Date de publication:
22 Mar 2024
Historique:
received: 20 09 2022
accepted: 14 02 2024
medline: 22 3 2024
pubmed: 22 3 2024
entrez: 22 3 2024
Statut: epublish

Résumé

Here, we used digital spatial profiling (DSP) to describe the glomerular transcriptomic signatures that may characterize the complex molecular mechanisms underlying progressive kidney disease in Alport syndrome, focal segmental glomerulosclerosis, and membranous nephropathy. Our results revealed significant transcriptional heterogeneity among diseased glomeruli, and this analysis showed that histologically similar glomeruli manifested different transcriptional profiles. Using glomerular pathology scores to establish an axis of progression, we identified molecular pathways with progressively decreased expression in response to increasing pathology scores, including signal recognition particle-dependent cotranslational protein targeting to membrane and selenocysteine synthesis pathways. We also identified a distinct signature of upregulated and downregulated genes common to all the diseases investigated when compared with nondiseased tissue from nephrectomies. These analyses using DSP at the single-glomerulus level could help to increase insight into the pathophysiology of kidney disease and possibly the identification of biomarkers of disease progression in glomerulopathies.

Identifiants

pubmed: 38516889
pii: 165515
doi: 10.1172/jci.insight.165515
doi:
pii:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Geremy Clair (G)

Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, USA.

Hasmik Soloyan (H)

The GOFARR Laboratory, The Saban Research Institute, Division of Urology, Children's Hospital Los Angeles, Los Angeles, California, USA.

Paolo Cravedi (P)

Department of Medicine, Translational Transplant Research Center, Icahn School of Medicine at Mount Sinai, New York, New York, USA.

Andrea Angeletti (A)

Nephrology Dialysis and Renal Transplantation, IRCCS Istituto Giannina Gaslini, Genova, Italy.

Fadi Salem (F)

Department of Laboratory Medicine and Pathology, Mayo Clinic, Jacksonville, Florida, USA.

Laith Al-Rabadi (L)

Division of Nephrology and Hypertension, Department of Internal Medicine, University of Utah Health, Salt Lake City, Utah, USA.

Roger E De Filippo (RE)

Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, USA.
Department of Urology, Keck School of Medicine, and.

Stefano Da Sacco (S)

Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, USA.
Department of Urology, Keck School of Medicine, and.

Kevin V Lemley (KV)

Division of Nephrology, Department of Pediatrics, University of Southern California, Los Angeles, California, USA.

Sargis Sedrakyan (S)

Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, USA.
Department of Urology, Keck School of Medicine, and.

Laura Perin (L)

Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, USA.
Department of Urology, Keck School of Medicine, and.

Classifications MeSH