Leonie Wagner

ORCID: 0009-0005-9322-0268
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About
Contact & Profiles
Research Areas
  • Renal and related cancers
  • Single-cell and spatial transcriptomics
  • Chronic Kidney Disease and Diabetes
  • Acute Kidney Injury Research
  • Renal and Vascular Pathologies
  • Extracellular vesicles in disease
  • Renal Transplantation Outcomes and Treatments
  • IgG4-Related and Inflammatory Diseases
  • Renal Diseases and Glomerulopathies
  • Organ Donation and Transplantation
  • Otitis Media and Relapsing Polychondritis
  • T-cell and B-cell Immunology
  • Veterinary Medicine and Surgery
  • Clinical Laboratory Practices and Quality Control
  • Dialysis and Renal Disease Management
  • Cytomegalovirus and herpesvirus research
  • Neuroinflammation and Neurodegeneration Mechanisms
  • Vasculitis and related conditions
  • Renal function and acid-base balance

Charité - Universitätsmedizin Berlin
2022-2024

German Rheumatism Research Centre
2022-2024

Freie Universität Berlin
2022

Humboldt-Universität zu Berlin
2022

Oklahoma State University
2019

Significance Statement Early identification of patients at risk renal flares in ANCA vasculitis is crucial. However, current clinical parameters have limitations predicting relapse accurately. This study investigated the use urinary CD4 + T lymphocytes as a predictive biomarker for vasculitis. study, including urine samples from 102 patients, found that presence cells was robust predictor within 6-month time frame, with sensitivity 60% and specificity 97.8%. The diagnostic accuracy exceeded...

10.1681/asn.0000000000000311 article EN Journal of the American Society of Nephrology 2024-01-17

Acute kidney injury (AKI) is a major health issue, the outcome of which depends primarily on damage and reparative processes tubular epithelial cells. Mechanisms underlying AKI remain incompletely understood, specific therapies are lacking monitoring course in clinical routine confined to measuring urine output plasma levels filtration markers. Here we demonstrate feasibility potential novel approach assess cellular molecular dynamics by establishing robust urine-to-single cell RNA...

10.1016/j.kint.2022.07.032 article EN cc-by-nc-nd Kidney International 2022-08-29

Introduction Acute kidney injury (AKI) is associated with significant morbidity and mortality. The diagnosis currently based on urine output serum creatinine there a lack of biomarkers that directly reflect tubular damage. Here, we establish flow cytometric quantification renal epithelial cells as potential biomarker for quantifying the severity damage predicting AKI outcome. Methods A total 84 patients were included in this study, divided into an exploratory cohort (n=21) confirmatory...

10.1101/2022.01.31.22270101 preprint EN medRxiv (Cold Spring Harbor Laboratory) 2022-02-01

Early detection of kidney transplant (KT) rejection remains a challenge in patient care. Non-invasive biomarkers hold high potential to detect rejection, adjust immunosuppression, and monitor KT patients. So far, no approach has fully satisfied requirements innovate routine monitoring In this two-center study we analyzed total 380 urine samples. T cells tubular epithelial were quantified patients with graft deterioration using flow cytometry. Epigenetic cell quantification was used confirm...

10.3389/fmed.2022.928516 article EN cc-by Frontiers in Medicine 2022-07-15

Abstract Acute kidney injury (AKI) is a major health issue, the outcome of which depends primarily on damage and reparative processes tubular epithelial cells (TEC). Mechanisms underlying AKI remain incompletely understood, specific therapies are lacking monitoring course in clinical routine confined to measuring urine output plasma levels filtration markers. Here we demonstrate feasibility potential novel approach assess cellular molecular dynamics by establishing robust urine-to-single...

10.1101/2022.02.15.479234 preprint EN cc-by-nd bioRxiv (Cold Spring Harbor Laboratory) 2022-02-16

The main objective of this study was to validate the accuracy Nova StatSensor creatinine POC meter (measurement range: 0.3 12 mg/dL) for quantifying blood concentration in goats presented Oklahoma State University Boren Veterinary Medical Hospital. A secondary compare against a standard chemistry analyzer triage into 3 clinically applicable categories: healthy, pre-renal azotemia, and postrenal azotemia. We hypothesize that will generate values comparable those obtained via analyzer.

10.21423/aabppro20197321 article EN American Association of Bovine Practitioners Conference Proceedings 2019-09-12
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