Results 91 to 100 of about 11,405,950 (406)
Blood and urine biomarkers of disease progression in IgA nephropathy
The prognosis of patients with IgA nephropathy (IgAN) is variable but overall not good. Almost all patients with IgAN are at risk of developing end-stage renal disease within their expected lifetime.
Zhi-Yu Duan +3 more
doaj +1 more source
Epidemiology of Cryptococcosis and Cryptococcal Meningitis in a large retrospective cohort of patients after solid organ transplantation [PDF]
Background Cryptococcosis is the third most common invasive fungal infection in solid organ transplant (SOT) recipients. There are no nationally representative data describing the incidence, risk factors, and outcomes of cryptococcosis ...
George, Ige A +3 more
core +2 more sources
Exome Sequencing of a Clinical Population for Autosomal Dominant Polycystic Kidney Disease [PDF]
Alex R. Chang +11 more
openalex +1 more source
The Inflammasomes in Kidney Disease [PDF]
Renal inflammation is a universal response to infectious and noninfectious triggers. Sensors of the innate immune system, such as Toll-like receptors or RIG-like receptors, provide danger recognition platforms on renal cells that integrate and translate the diverse triggers of renal inflammation by inducing cell activation and the secretion of ...
Hans-Joachim, Anders, Daniel A, Muruve
openaire +2 more sources
Urinary LGALS3BP is elevated in bladder cancer patients compared to healthy controls as detected by the 1959 antibody–based ELISA. The antibody shows enhanced reactivity to the high‐mannose glycosylated variant secreted by cancer cells treated with kifunensine (KIF).
Asia Pece +18 more
wiley +1 more source
Liquid biopsy epigenetics: establishing a molecular profile based on cell‐free DNA
Cell‐free DNA (cfDNA) fragments in plasma from cancer patients carry epigenetic signatures reflecting their cells of origin. These epigenetic features include DNA methylation, nucleosome modifications, and variations in fragmentation. This review describes the biological properties of each feature and explores optimal strategies for harnessing cfDNA ...
Christoffer Trier Maansson +2 more
wiley +1 more source
Machine learning model for cardiovascular disease prediction in patients with chronic kidney disease
IntroductionCardiovascular disease (CVD) is the leading cause of death in patients with chronic kidney disease (CKD). This study aimed to develop CVD risk prediction models using machine learning to support clinical decision making and improve patient ...
He Zhu +12 more
doaj +1 more source
Background Mesenchymal stem cells (MSCs) have been reported to promote regeneration in both subjects with acute kidney injury (AKI) and chronic kidney disease (CKD), but their efficacy remains limited, probably because most of the cells accumulate in the
Yuanjun Yang +7 more
doaj +1 more source
Automatic Renal Segmentation in DCE-MRI using Convolutional Neural Networks
Kidney function evaluation using dynamic contrast-enhanced MRI (DCE-MRI) images could help in diagnosis and treatment of kidney diseases of children. Automatic segmentation of renal parenchyma is an important step in this process.
Haghighi, Marzieh +2 more
core +1 more source
Inhibition of ACSL4 ameliorates tubular ferroptotic cell death and protects against fibrotic kidney disease [PDF]
Yue Dai +8 more
openalex +1 more source

