Hyperphosphatemia, by itself and in the context of chronic kidney disease, contributes to iron restrictive anemia by directly targeting the liver and elevating proinflammatory cytokines and hepcidin, which contributes to widespread tissue injury, such as skeletal muscle wasting.

Two gene variants provide different levels of protection against sleeping sickness, but this comes with an increased risk of developing chronic kidney disease.

Indoxyl sulfate, a key uremic toxin in chronic kidney disease (CKD), induces trained immunity in monocytes via crosstalk between aryl hydrocarbon receptor (AhR)-dependent epigenetic reprogramming by enhancement of the arachidonic acid pathway and AhR-independent metabolic rewiring.

Multi-omics-driven patient stratification identify at-risk profile of metabolic complications in people living with HIV on suppressive therapy that need clinical attention.

The first inhibitor identified against an iso-enzyme that initiates O-glycosylation in the Golgi complex promises new therapeutic approaches for cancer and chronic kidney disease.

Fundc1-mediated mitophagy protects renal EPO-producing cells from myofibroblastic conversion under stresses.

Genetic and functional studies reveal a previously unrecognized role for a transmembrane protein in glomerular filtration barrier function.

Lymphangiogenic therapy VEGFCc156s improved angiotensin-II-induced impairments in heart function via novel mechanisms, which include transcriptional responses to alleviate inflammation and cardiac fibrosis, and systemic responses to ameliorate hypertension.

While Trypanosoma congolense is mostly known to cause a chronic wasting disease in animals, a new mouse model shows that acute cerebral trypanosomiasis is triggered by parasite sequestration and infiltration of T helper cells in the brain parenchyma.

Integrating machine learning (ML) models with selected features improved the prediction accuracy of diabetic kidney disease compared to traditional logistic regression models using established features, revealing potential new markers and supporting the use of ML techniques in epidemiological studies.