Analysis of the human kidney transcriptome and plasma proteome identifies markers of proximal tubule maladaptation to injury.


Journal

Science translational medicine
ISSN: 1946-6242
Titre abrégé: Sci Transl Med
Pays: United States
ID NLM: 101505086

Informations de publication

Date de publication:
13 Dec 2023
Historique:
medline: 13 12 2023
pubmed: 13 12 2023
entrez: 13 12 2023
Statut: ppublish

Résumé

Acute kidney injury (AKI) is a major risk factor for long-term adverse outcomes, including chronic kidney disease. In mouse models of AKI, maladaptive repair of the injured proximal tubule (PT) prevents complete tissue recovery. However, evidence for PT maladaptation and its etiological relationship with complications of AKI is lacking in humans. We performed single-nucleus RNA sequencing of 120,985 nuclei in kidneys from 17 participants with AKI and seven healthy controls from the Kidney Precision Medicine Project. Maladaptive PT cells, which exhibited transcriptomic features of dedifferentiation and enrichment in pro-inflammatory and profibrotic pathways, were present in participants with AKI of diverse etiologies. To develop plasma markers of PT maladaptation, we analyzed the plasma proteome in two independent cohorts of patients undergoing cardiac surgery and a cohort of marathon runners, linked it to the transcriptomic signatures associated with maladaptive PT, and identified nine proteins whose genes were specifically up- or down-regulated by maladaptive PT. After cardiac surgery, both cohorts of patients had increased transforming growth factor-β2 (TGFB2), collagen type XXIII-α1 (COL23A1), and X-linked neuroligin 4 (NLGN4X) and had decreased plasminogen (PLG), ectonucleotide pyrophosphatase/phosphodiesterase 6 (ENPP6), and protein C (PROC). Similar changes were observed in marathon runners with exercise-associated kidney injury. Postoperative changes in these markers were associated with AKI progression in adults after cardiac surgery and post-AKI kidney atrophy in mouse models of ischemia-reperfusion injury and toxic injury. Our results demonstrate the feasibility of a multiomics approach to discovering noninvasive markers and associating PT maladaptation with adverse clinical outcomes.

Identifiants

pubmed: 38091407
doi: 10.1126/scitranslmed.ade7287
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

eade7287

Auteurs

Yumeng Wen (Y)

Division of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.

Emily Su (E)

Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.

Leyuan Xu (L)

Section of Nephrology, Department of Medicine, Yale School of Medicine, New Haven, CT 06504, USA.

Steven Menez (S)

Division of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.

Dennis G Moledina (DG)

Section of Nephrology, Department of Medicine, Yale School of Medicine, New Haven, CT 06504, USA.

Wassim Obeid (W)

Division of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.

Paul M Palevsky (PM)

Renal-Electrolyte Division, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA.
Kidney Medicine Section, Medical Service, VA Pittsburgh Healthcare System, Pittsburgh, PA 15240, USA.

Sherry G Mansour (SG)

Section of Nephrology, Department of Medicine, Yale School of Medicine, New Haven, CT 06504, USA.

Prasad Devarajan (P)

Division of Nephrology and Hypertension, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA.

Lloyd G Cantley (LG)

Section of Nephrology, Department of Medicine, Yale School of Medicine, New Haven, CT 06504, USA.

Patrick Cahan (P)

Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.

Chirag R Parikh (CR)

Division of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.

Classifications MeSH