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Single-Cell RNA Sequencing of Urinary Cells Reveals Distinct Cellular Diversity in COVID-19-Associated AKI.
Cheung, Matthew D; Erman, Elise N; Liu, Shanrun; Erdmann, Nathaniel B; Ghajar-Rahimi, Gelare; Moore, Kyle H; Edberg, Jeffrey C; George, James F; Agarwal, Anupam.
  • Cheung MD; Division of Nephrology, Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama.
  • Erman EN; Department of Medicine, Nephrology Research and Training Center, University of Alabama at Birmingham, Birmingham, Alabama.
  • Liu S; Division of Cardiothoracic Surgery, Department of Surgery, University of Alabama at Birmingham, Birmingham, Alabama.
  • Erdmann NB; Division of Nephrology, Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama.
  • Ghajar-Rahimi G; Department of Medicine, Nephrology Research and Training Center, University of Alabama at Birmingham, Birmingham, Alabama.
  • Moore KH; Division of Cardiothoracic Surgery, Department of Surgery, University of Alabama at Birmingham, Birmingham, Alabama.
  • Edberg JC; Division of Clinical Immunology and Rheumatology, Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama.
  • George JF; Division of Infectious Diseases, Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama.
  • Agarwal A; Division of Nephrology, Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama.
Kidney360 ; 3(1): 28-36, 2022 01 27.
Article in English | MEDLINE | ID: covidwho-1776874
ABSTRACT

Background:

AKI is a common sequela of infection with SARS-CoV-2 and contributes to the severity and mortality from COVID-19. Here, we tested the hypothesis that kidney alterations induced by COVID-19-associated AKI could be detected in cells collected from urine.

Methods:

We performed single-cell RNA sequencing (scRNAseq) on cells recovered from the urine of eight hospitalized patients with COVID-19 with (n=5) or without AKI (n=3) as well as four patients with non-COVID-19 AKI (n=4) to assess differences in cellular composition and gene expression during AKI.

Results:

Analysis of 30,076 cells revealed a diverse array of cell types, most of which were kidney, urothelial, and immune cells. Pathway analysis of tubular cells from patients with AKI showed enrichment of transcripts associated with damage-related pathways compared with those without AKI. ACE2 and TMPRSS2 expression was highest in urothelial cells among cell types recovered. Notably, in one patient, we detected SARS-CoV-2 viral RNA in urothelial cells. These same cells were enriched for transcripts associated with antiviral and anti-inflammatory pathways.

Conclusions:

We successfully performed scRNAseq on urinary sediment from hospitalized patients with COVID-19 to noninvasively study cellular alterations associated with AKI and established a dataset that includes both injured and uninjured kidney cells. Additionally, we provide preliminary evidence of direct infection of urinary bladder cells by SARS-CoV-2. The urinary sediment contains a wealth of information and is a useful resource for studying the pathophysiology and cellular alterations that occur in kidney diseases.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Acute Kidney Injury / COVID-19 Type of study: Prognostic study Topics: Long Covid Limits: Humans Language: English Journal: Kidney360 Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Acute Kidney Injury / COVID-19 Type of study: Prognostic study Topics: Long Covid Limits: Humans Language: English Journal: Kidney360 Year: 2022 Document Type: Article