Explanipedia

Liquid Biopsy-Multiomics Link Adhesion Pathway Dysregulation to Kidney Injury Severity Open

Nanditha Anandakrishnan, Zhengzi Yi, Zeguo Sun, Ying Liu, Jonathan C. Haydak , et al. · 2025

Corrigendum to "Comprehensive Proteomics Metadata and Integrative Web Portals Facilitate Sharing and Integration of LINCS Multiomics Data". Open

D. Vidović, Behrouz Shamsaei, Stephan C. Schürer, Phillip Kogan, Szymon Chojnacki , et al. · 2025

Author Correction: LILRB3 genetic variation is associated with kidney transplant failure in African American recipients Open

Zeguo Sun, Zhengzi Yi, Chengguo Wei, Wenlin Wang, Tianyuan Ren , et al. · 2025

Comprehensive Proteomics Metadata and Integrative Web Portals Facilitate Sharing and Integration of LINCS Multiomics Data Open

D. Vidović, Behrouz Shamsaei, Stephan C. Schürer, Phillip Kogan, Szymon Chojnacki , et al. · 2025

Multiscale mapping of transcriptomic signatures for cardiotoxic drugs Open

Jens Hansen, Yuguang Xiong, Mustafa M. Siddiq, Priyanka Dhanan, Bin Hu , et al. · 2024

Drug-induced gene expression profiles can identify potential mechanisms of toxicity. We focus on obtaining signatures for cardiotoxicity of FDA-approved tyrosine kinase inhibitors (TKIs) in human induced-pluripotent-stem-cell-derived cardi…

A high-throughput microfabricated platform for rapid quantification of metastatic potential Open

Smiti Bhattacharya, Abora Ettela, Jonathan C. Haydak, Chad M. Hobson, Alan D. Stern , et al. · 2024

Assays that measure morphology, proliferation, motility, deformability, and migration are used to study the invasiveness of cancer cells. However, native invasive potential of cells may be hidden from these contextual metrics because they …

Integrated multiomics implicates dysregulation of ECM and cell adhesion pathways as drivers of severe COVID-associated kidney injury Open

Nanditha Anandakrishnan, Zhengzi Yi, Zeguo Sun, Ying Liu, Jonathan C. Haydak , et al. · 2024

COVID-19 has been a significant public health concern for the last four years; however, little is known about the mechanisms that lead to severe COVID-associated kidney injury. In this multicenter study, we combined quantitative deep urina…

Role of biophysics and mechanobiology in podocyte physiology Open

Jonathan C. Haydak, Evren U. Azeloglu · 2024

Genetic polymorphisms of Leukocyte Immunoglobulin-Like Receptor B3 (<i>LILRB3</i>) gene in African American kidney transplant recipients are associated with post-transplant graft failure Open

Zeguo Sun, Zhengzi Yi, Chengguo Wei, Wenlin Wang, Paolo Cravedi , et al. · 2024

Background African American (AA) kidney transplant recipients exhibit a higher rate of graft loss compared to other racial and ethnic populations, highlighting the need to identify causative factors underlying this disparity. Method We ana…

A large-scale retrospective study enabled deep-learning based pathological assessment of frozen procurement kidney biopsies to predict graft loss and guide organ utilization Open

Zhengzi Yi, Caixia Xi, Madhav C. Menon, Paolo Cravedi, Fasika Tedla , et al. · 2023

Open-Source System for Real-Time Functional Assessment of In Vitro Filtration Barriers Open

Tess Fallon, Merve Zuvin, Alan D. Stern, Nanditha Anandakrishnan, Ilse S. Daehn , et al. · 2023

The integrity of the barrier between blood and the selective filtrate of solutes is important for homeostasis and its disruption contributes to many diseases. Microphysiological systems that incorporate synthetic or natural membranes with …

Precision Medicine in Nephrology: An Integrative Framework of Multidimensional Data in the Kidney Precision Medicine Project Open

Tarek M. El‐Achkar, Michael T. Eadon, Matthias Kretzler, Jonathan Himmelfarb, Blue B. Lake , et al. · 2023

Deep learning on electronic medical records identifies distinct subphenotypes of diabetic kidney disease driven by genetic variations in the<i>Rho</i>pathway Open

Ishan Paranjpe, Xuan Wang, Nanditha Anandakrishnan, Jonathan C. Haydak, Tielman Van Vleck , et al. · 2023

A bstract Kidney disease affects 50% of all diabetic patients; however, prediction of disease progression has been challenging due to inherent disease heterogeneity. We use deep learning to identify novel genetic signatures prognostically …

An atlas of healthy and injured cell states and niches in the human kidney Open

Blue B. Lake, Rajasree Menon, Seth Winfree, Qiwen Hu, Ricardo Melo Ferreira , et al. · 2023

Understanding kidney disease relies on defining the complexity of cell types and states, their associated molecular profiles and interactions within tissue neighbourhoods 1 . Here we applied multiple single-cell and single-nucleus assays (…

HCK induces macrophage activation to promote renal inflammation and fibrosis via suppression of autophagy Open

Man Chen, Madhav C. Menon, Wenlin Wang, Jia Fu, Zhengzi Yi , et al. · 2023

Patient-Specific Pharmacokinetics and Dasatinib Nephrotoxicity Open

Benjamin Adegbite, Matthew Abramson, Victoria Gutgarts, Florin Marcel Musteata, Kinsuk Chauhan , et al. · 2023

Background Dasatinib has been associated with nephrotoxicity. We sought to examine the incidence of proteinuria on dasatinib and determine potential risk factors that may increase dasatinib-associated glomerular injury. Methods We examined…

Proteomic characterization of acute kidney injury in patients hospitalized with SARS-CoV2 infection Open

Ishan Paranjpe, Pushkala Jayaraman, Chen‐Yang Su, Sirui Zhou, Steven Chen , et al. · 2023

Background Acute kidney injury (AKI) is a known complication of COVID-19 and is associated with an increased risk of in-hospital mortality. Unbiased proteomics using biological specimens can lead to improved risk stratification and discove…

#3120 PREDICTION OF COVID-19 SEVERITY IN HOSPITALIZED PATIENTS USING URINARY PROTEOMICS AND MACHINE LEARNING Open

Nanditha Anandakrishnan, Zhengzi Yi, Ying Liu, Aparna Saha, Stefanie DeFronzo , et al. · 2023

Background and Aims COVID-19 has been a significant public health concern for the last three years; however, not much is known about the mechanisms that lead to severe kidney outcomes in patients hospitalized with COVID-19. In this multice…

#3119 DEEP LEARNING IDENTIFIES SUBPHENOTYPES OF DIABETIC KIDNEY DISEASE DRIVEN BY GENETIC VARIATIONS IN THE RHO PATHWAY Open

Nanditha Anandakrishnan, Ishan Paranjpe, Xuan Wang, Jonathan C. Haydak, Tielman Van Vleck , et al. · 2023

Background and Aims Diabetic kidney disease (DKD) is a leading cause of end-stage kidney disease (ESKD), however therapies targeting causal pathways have been limited by disease heterogeneity. Integrating electronic health record (EHR) dat…

#5863 A NOVEL SELF-SEALING DIALYSIS PORT EVALUATION Open

Wright Jacob, Alan I. Benvenisty, Kenneth R. Nakazawa, Marina de Cos, Philip Nasser , et al. · 2023

Background and Aims There are several complications associated with hemodialytic vascular that arise from the incorrect cannulation, including aneurysms, infection, vessel damage, and uncontrolled bleeding. These risks severely limit treat…

Evaluation of Plasma Biomarkers to Predict Major Adverse Kidney Events in Hospitalized Patients With COVID-19 Open

Steven Menez, Steven G. Coca, Dennis G. Moledina, Yumeng Wen, Lili Chan , et al. · 2023

Open-Source System for Real Time Functional Assessment of In-Vitro Filtration Barriers Open

Tess Fallon, Merve Zuvin, Alan D. Stern, Nanditha Anandakrishnan, Ilse S. Daehn , et al. · 2023

Microphysiological systems that incorporate synthetic or natural membranes with human cells mimic the human kidney, and they can readily be used to study key cell biological processes as well as drug effects and interactions. We present an…

Open-Source System for Real Time Functional Assessment of In-Vitro Filtration Barriers Open

Tess Fallon, Merve Zuvin, Alan D. Stern, Nanditha Anandakrishnan, Ilse S. Daehn , et al. · 2023

Microphysiological systems that incorporate synthetic or natural membranes with human cells mimic the human kidney, and they can readily be used to study key cell biological processes as well as drug effects and interactions. We present an…

Open-Source System for Real Time Functional Assessment of In-Vitro Filtration Barriers Open

Tess Fallon, Merve Zuvin, Alan D. Stern, Nanditha Anandakrishnan, Ilse S. Daehn , et al. · 2023

Microphysiological systems that incorporate synthetic or natural membranes with human cells mimic the human kidney, and they can readily be used to study key cell biological processes as well as drug effects and interactions. We present an…

Dasatinib nephrotoxicity correlates with patient-specific pharmacokinetics Open

Benjamin Adegbite, Matthew Abramson, Victoria Gutgarts, Marcel F. Musteata, Kinsuk Chauhan , et al. · 2023

A bstract Introduction Dasatinib has been associated with nephrotoxicity. We sought to examine the incidence of proteinuria on dasatinib and determine potential risk factors that may increase dasatinib-associated glomerular injury. Methods…

Predicting individual-specific cardiotoxicity responses induced by tyrosine kinase inhibitors Open

Jaehee V. Shim, Yuguang Xiong, Priyanka Dhanan, Rafael Dariolli, Evren U. Azeloglu , et al. · 2023

Introduction: Tyrosine kinase inhibitor drugs (TKIs) are highly effective cancer drugs, yet many TKIs are associated with various forms of cardiotoxicity. The mechanisms underlying these drug-induced adverse events remain poorly understood…

Computational study of biomechanical drivers of renal cystogenesis Open

Gerard A. Ateshian, Katherine A. Spack, James Hone, Evren U. Azeloglu, G. Luca Gusella · 2023

Proteomic Characterization of Acute Kidney Injury in Patients Hospitalized with SARS-CoV2 Infection Open

Girish N. Nadkarni, Ishan Paranjpe, Pushkala Jayaraman, Chen‐Yang Su, Sirui Zhou , et al. · 2023

KIBRA upregulation increases susceptibility to podocyte injury and glomerular disease progression Open

Kristin Meliambro, Yanfeng Yang, Marina de Cos, Estefania Rodriguez Ballestas, Caroline Malkin , et al. · 2023

Despite recent progress in the identification of mediators of podocyte injury, mechanisms underlying podocyte loss remain poorly understood, and cell-specific therapy is lacking. We previously reported that kidney and brain expressed prote…

Biochemical network motifs can transduce and process oscillatory information Open

Jamil Reja, Tess Fallon, Andrew M. Leader, Evren U. Azeloglu · 2022

Biological networks that are formed through amalgamation of signaling pathways include recurrent configurations called network motifs. These statistically over-represented subgraphs are often formed through interconnected enzyme-substrate …

Evren U. Azeloglu YOU? Author Swipe