Results 41 to 50 of about 14,135,306 (260)
Non-invasive molecular imaging of kidney diseases
In nephrology, differential diagnosis or assessment of disease activity largely relies on the analysis of glomerular filtration rate, urinary sediment, proteinuria and tissue obtained through invasive kidney biopsies.
B. Klinkhammer +5 more
semanticscholar +1 more source
OBJECTIVE: To compare the successful outcome of flap versus no-flap in O’Conor & Sokol technique for simple vesicovaginal fistula (VVF) repair. METHODS: This quasi-experimental study was conducted in department of Urology, Institute of Kidney Diseases,
Liaqat Ali +5 more
doaj +1 more source
Identifying chemokines as therapeutic targets in renal disease: Lessons from antagonist studies and knockout mice [PDF]
Chemokines, in concert with cytokines and adhesion molecules, play multiple roles in local and systemic immune responses. In the kidney, the temporal and spatial expression of chemokines correlates with local renal damage and accumulation of chemokine ...
Anders, Hans-Joachim +3 more
core +1 more source
Progress of small ubiquitin-related modifiers in kidney diseases
. Objective:. Small ubiquitin-related modifiers (SUMOs) are a group of post-translational modification proteins extensively expressed in eukaryotes. Abnormal SUMOylation can lead to the development of various diseases.
Ou Li +6 more
doaj +1 more source
Renal macrophages and NLRP3 inflammasomes in kidney diseases and therapeutics
Macrophages are exceptionally diversified cell types and perform unique features and functions when exposed to different stimuli within the specific microenvironment of various kidney diseases.
Mohammad Islamuddin, Xue-Bin Qin
semanticscholar +1 more source
Background Pericyte-myofibroblast transition (PMT) has been confirmed to contribute to renal fibrosis in several kidney diseases, and transforming growth factor-β1 (TGF-β1) is a well-known cytokine that drives PMT.
Liangmei Chen +13 more
doaj +1 more source
Imaging-based deep learning in kidney diseases: recent progress and future prospects
Kidney diseases result from various causes, which can generally be divided into neoplastic and non-neoplastic diseases. Deep learning based on medical imaging is an established methodology for further data mining and an evolving field of expertise, which
Meng Zhang +9 more
semanticscholar +1 more source
Role of Semaphorin 3A in Kidney Development and Diseases [PDF]
Kidney diseases are worldwide public health problems affecting millions of people. However, there are still limited therapeutic options against kidney diseases. Semaphorin 3A (SEMA3A) is a secreted and membrane-associated protein, which regulates diverse
Sang, Yizhen +11 more
core +2 more sources
MicroRNAs and Polycystic Kidney Disease
MicroRNAs (miRNAs) are a class of small non protein-coding RNAs that function as inhibitors of post-transcriptional gene expression in plants and animals. Over a thousand different miRNAs are known to be encoded by the human genome, the majority of which
core +1 more source
Humoral and Cellular Immunogenicity of 3 Doses of BNT162b2 in Children With Kidney Diseases
IntroductionPatients with severe kidney diseases are at risk of complications from COVID-19; however, little is known about the effectiveness of COVID-19 vaccines in children and adolescents with kidney diseases.MethodsWe investigated the immunogenicity ...
Wong, Howard HW +49 more
core +1 more source

