Nephrology

Exosomes derived from human umbilical cord mesenchymal stem cells attenuate senescence of peritoneal mesothelial cells by inhibiting oxidative stress.

OBJECTIVE: Aging is a natural process that affects cellular function. In peritoneal dialysis (PD), chronic exposure to dialysate induces oxidative stress (OS) in peritoneal mesothelial cells (PMCs), leading to cellular aging, fibrosis, and reduced dialysis efficacy. Mesenchymal stem cells (MSCs) have shown potential in alleviating cellular aging. This study investigates the role of exosomes (hUMSC...

Effects of Hepatic or Renal Impairment on Pharmacokinetics of Fruquintinib.

Fruquintinib (FRUZAQLA) is a highly selective tyrosine kinase inhibitor of all three vascular endothelial growth factor receptors (-1, -2, and -3). Two Phase 1, open-label, single-dose studies investigated the impact of hepatic or renal impairment on the pharmacokinetics and tolerability of fruquintinib. Participants with moderate renal impairment (creatinine clearance [CrCl] 30-59 mL/min; eight p...

Hypoferremic Response to Chronic Inflammation Is Controlled via the Hemojuvelin/Hepcidin/Ferroportin Axis and Does Not Involve Hepcidin-Independent Regulation of Fpn mRNA.

The iron regulatory hormone hepcidin contributes to the pathogenesis of anemia of inflammation (AI) by inhibiting the iron exporter ferroportin in tar...

Push Forward Clinical Management of Hematological Toxicity due to Lenalidomide Overexposure: Model-Informed Precision Dosing for Chinese Population With Renal Insufficiency.

Dose-dependent hematological toxicity of lenalidomide has been reported previously, and thus, there is a clinical need for dose individualization to m...

Semi-quantitative analysis of Right Ventricular Myocardial First-pass Perfusion Using Cardiac Magnetic Resonance Imaging in Systemic Sclerosis and Pulmonary Arterial Hypertension.

BACKGROUND: Right ventricular (RV) myocardial perfusion has been touted as a primary mechanism to understand impairment in RV function in patients wit...

Inadequate imipenem dosing in patients with decreased kidney function: A clinical pharmacokinetic study.

OBJECTIVES: A number of population pharmacokinetic (popPK) models of imipenem in critically ill patients are available for dosing optimisation, but th...

Enhancing clinical decision-making in closed pelvic fractures with machine learning models.

Closed pelvic fractures can lead to severe complications, including hemodynamic instability (HI) and mortality. Accurate prediction of these risks is ...

Periodontal disease in adolescents with type 1 diabetes mellitus: A cross link between continuous glucose monitoring-derived metrics, caspase-3 levels, diabetic nephropathy and subclinical atherosclerosis.

BACKGROUND: Periodontitis can lead to the development of atherosclerotic heart disease.

55 MHz constant field dielectric warming of kidneys and ovaries cryopreserved by vitrification.

Organs cryopreserved by vitrification benefit from fast warming to avoid growth and recrystallization of ice that may nucleate during cooling and duri...

Comparison of Machine Learning Algorithms and Bayesian Estimation in Predicting Tacrolimus Concentration in Tunisian Kidney Transplant Patients During the Early Post-Transplant Period.

BACKGROUND AND OBJECTIVE: Model-informed precision dosing (MIPD), based on a Bayesian approach and machine learning (ML) algorithms, is a suitable app...

AI-driven glomerular morphology quantification: a novel pipeline for assessing basement membrane thickness and podocyte foot process effacement in kidney diseases.

BACKGROUND AND OBJECTIVE: Measuring the thickness of the glomerular basement membrane (GBM) and assessing the percentage of podocyte foot process effa...

Artificial Intelligence: The New Transplant Selection Committee Member.

Enhancing Organ Allocation Efficiency: A Pilot Study Evaluating Artificial Intelligence-Assisted Assessment of Donor Kidney Pathology.

PURPOSE: The purpose of this study is to evaluate the effectiveness of an artificial intelligence (AI)-assisted review (AAR) system in improving diagn...

Active Organic Salts Enabling Non-Intrusive Electrolyte Presodiation Strategy.

Na-ion batteries show great promise, but their practical utilization is hindered by irreversible Na-ion loss during cell formation, resulting in initi...

Machine learning-derived multivariate renal function trajectories in acute kidney injury in critically ill patients: a multicentre retrospective study.

BACKGROUND: Acute kidney injury (AKI) exhibits considerable heterogeneity. The objective of the current study was to identify AKI subphenotypes in int...

Prediction of perimetric progression in ocular hypertension and open angle glaucoma based on corneal biomechanics.

PurposeTo identify parameters that are significant risk predictors of visual field (VF) progression in patients with ocular hypertension (OHT) or earl...

Latent space autoencoder generative adversarial model for retinal image synthesis and vessel segmentation.

Diabetes is a widespread condition that can lead to serious vision problems over time. Timely identification and treatment of diabetic retinopathy (DR...

Machine learning models for acute kidney injury prediction and management: a scoping review of externally validated studies.

Despite advancements in medical care, acute kidney injury (AKI) remains a major contributor to adverse patient outcomes and presents a significant cha...

GLIO-Select: Machine Learning-Based Feature Selection and Weighting of Tissue and Serum Proteomic and Metabolomic Data Uncovers Sex Differences in Glioblastoma.

Glioblastoma (GBM) is a fatal brain cancer known for its rapid and aggressive growth, with some studies indicating that females may have better surviv...

Agreement Between AI and Nephrologists in Addressing Common Patient Questions About Diabetic Nephropathy: Cross-Sectional Study.

This research letter presents a cross-sectional analysis comparing the agreement between artificial intelligence models and nephrologists in respondin...