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Laura Barisoni

Duke University

ORCID: 0000-0003-0848-9683

Publishes on Renal Diseases and Glomerulopathies, Chronic Kidney Disease and Diabetes, AI in cancer detection. 269 papers and 12.7k citations.

269Publications
12.7kTotal Citations

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Top publicationsby citations

VEGF Inhibition and Renal Thrombotic Microangiopathy
Vera Eremina, J. Ashley Jefferson, Jolanta Kowalewska et al.|New England Journal of Medicine|2008
Cited by 1.5kOpen Access

The glomerular microvasculature is particularly susceptible to injury in thrombotic microangiopathy, but the mechanisms by which this occurs are unclear. We report the cases of six patients who were treated with bevacizumab, a humanized monoclonal antibody against vascular endothelial growth factor (VEGF), in whom glomerular disease characteristic of thrombotic microangiopathy developed. To show that local reduction of VEGF within the kidney is sufficient to trigger the pathogenesis of thrombotic microangiopathy, we used conditional gene targeting to delete VEGF from renal podocytes in adult mice; this resulted in a profound thrombotic glomerular injury. These observations provide evidence that glomerular injury in patients who are treated with bevacizumab is probably due to direct targeting of VEGF by antiangiogenic therapy.

An atlas of healthy and injured cell states and niches in the human kidney
Cited by 633Open Access

. Here we applied multiple single-cell and single-nucleus assays (>400,000 nuclei or cells) and spatial imaging technologies to a broad spectrum of healthy reference kidneys (45 donors) and diseased kidneys (48 patients). This has provided a high-resolution cellular atlas of 51 main cell types, which include rare and previously undescribed cell populations. The multi-omic approach provides detailed transcriptomic profiles, regulatory factors and spatial localizations spanning the entire kidney. We also define 28 cellular states across nephron segments and interstitium that were altered in kidney injury, encompassing cycling, adaptive (successful or maladaptive repair), transitioning and degenerative states. Molecular signatures permitted the localization of these states within injury neighbourhoods using spatial transcriptomics, while large-scale 3D imaging analysis (around 1.2 million neighbourhoods) provided corresponding linkages to active immune responses. These analyses defined biological pathways that are relevant to injury time-course and niches, including signatures underlying epithelial repair that predicted maladaptive states associated with a decline in kidney function. This integrated multimodal spatial cell atlas of healthy and diseased human kidneys represents a comprehensive benchmark of cellular states, neighbourhoods, outcome-associated signatures and publicly available interactive visualizations.

The Dysregulated Podocyte Phenotype
Laura Barisoni, Wilhelm Kriz, Peter Mündel et al.|Journal of the American Society of Nephrology|1999
Cited by 559

Podocytes are highly differentiated, postmitotic cells, whose function is largely based on their complex cytoarchitecture. The differentiation of podocytes coincides with progressive expression of maturity markers, including WT-1, CALLA, C3b receptor, GLEPP-1, podocalyxin, and synaptopodin. In collapsing forms of focal segmental glomerulosclerosis (FSGS), including idiopathic FSGS and HIV-associated nephropathy, podocytes undergo characteristic, irreversible ultrastructural changes. This study analyzes the expression pattern of the above differentiation markers and of the proliferation marker Ki-67 in collapsing idiopathic FSGS and HIV-associated nephropathy compared with minimal change disease, membranous glomerulopathy, as well as normal adult and fetal human kidney. In minimal change disease and membranous glomerulopathy, all mature podocyte markers were retained at normal levels despite severe proteinuria and foot process fusion; no cell proliferation was observed. In contrast, in collapsing idiopathic FSGS and HIV-associated nephropathy, there was disappearance of all markers from all collapsed glomeruli and of synaptopodin from 16% of noncollapsed glomeruli. This phenotypic dysregulation of podocytes was associated with cell proliferation in both diseases. It is concluded that the loss of specific podocyte markers defines a novel dysregulated podocyte phenotype and suggests a common pathomechanism in collapsing FSGS, whether idiopathic or HIV-associated.

Tissue transcriptome-driven identification of epidermal growth factor as a chronic kidney disease biomarker
Wenjun Ju, Viji Nair, Shahaan Smith et al.|Science Translational Medicine|2015
Cited by 430

Chronic kidney disease (CKD) affects 8 to 16% people worldwide, with an increasing incidence and prevalence of end-stage kidney disease (ESKD). The effective management of CKD is confounded by the inability to identify patients at high risk of progression while in early stages of CKD. To address this challenge, a renal biopsy transcriptome-driven approach was applied to develop noninvasive prognostic biomarkers for CKD progression. Expression of intrarenal transcripts was correlated with the baseline estimated glomerular filtration rate (eGFR) in 261 patients. Proteins encoded by eGFR-associated transcripts were tested in urine for association with renal tissue injury and baseline eGFR. The ability to predict CKD progression, defined as the composite of ESKD or 40% reduction of baseline eGFR, was then determined in three independent CKD cohorts. A panel of intrarenal transcripts, including epidermal growth factor (EGF), a tubule-specific protein critical for cell differentiation and regeneration, predicted eGFR. The amount of EGF protein in urine (uEGF) showed significant correlation (P < 0.001) with intrarenal EGF mRNA, interstitial fibrosis/tubular atrophy, eGFR, and rate of eGFR loss. Prediction of the composite renal end point by age, gender, eGFR, and albuminuria was significantly (P < 0.001) improved by addition of uEGF, with an increase of the C-statistic from 0.75 to 0.87. Outcome predictions were replicated in two independent CKD cohorts. Our approach identified uEGF as an independent risk predictor of CKD progression. Addition of uEGF to standard clinical parameters improved the prediction of disease events in diverse CKD populations with a wide spectrum of causes and stages.