Design and optimization of potent, selective, and peripherally acting JNK3 inhibitors for chronic kidney disease.

German Clinical Practice Guideline on Microhematuria in Children and Young Adults: Evaluating Early Detection of Kidney Disease.

BD-KDD: A real-world clinical dataset for kidney disease diagnosis and healthy classification.

Association between chronic low-grade inflammation and metabolic syndrome and their impact on the risk of coronary artery disease in type 1 diabetes.

System-level multi-omics uncover proteomic, peptidomic, and metabolic remodeling in Microcystin-LR exacerbated chronic kidney disease.

PRMT1 and its Substrates: Novel functions in kidney and metabolic diseases.

Optimization of CaMKII inhibitory peptide with N-terminal fatty acid chain modification and its study on anti-kidney fibrosis.

Acute kidney injury (AKI) is a common and serious condition associated with prolonged hospitalization, chronic kidney disease, and increased mortality. Early prediction of AKI offers an opportunity to mitigate these adverse outcomes, yet existing models often fail to generalize to the emergency department (ED) setting, particularly for patients discharged directly to the community. We sought to develop and validate machine learning models that predict new or progressive AKI within 72 hours of ED departure, addressing challenges related to missing outcome data for discharged patients. This retrospective, multicenter study of adult patients from 5 EDs within a large health-care system included adult patients with at least 1 serum creatinine measurement during their ED visit. AKI was defined using Kidney Disease Improving Global Outcomes serum creatinine-based criteria, and prediction models relied on demographic, clinical, and laboratory data routinely collected during ED care. Extreme gradient boosting algorithms were trained using 4 approaches to handle missing outcome data: incomplete case exclusion, negative outcome assumption, multiple imputation, and inverse probability weighting. Model performance was evaluated via 10-fold cross-validation and external temporal validation using area under the receiver operating characteristic curve, precision, recall, calibration curve analyses, and measurement of diagnostic performance across a range of risk thresholds. A total of 1,124,017 ED visits between 2017 and 2024 were included in the study; 5.7% (22,093) met AKI progression outcome criteria. The models demonstrated robust predictive performance for any new or progressive AKI (area under the receiver operating characteristics curve, 0.81-0.82) and severe AKI (area under the receiver operating characteristics curve, 0.87-0.88) across validation cohorts. Inverse probability weighting provided a reliable and consistent method for handling missing outcome data, ensuring accurate risk estimates for both hospitalized and discharged patients. Models performed similarly across diverse subgroups and ED sites. Machine learning models trained on routinely collected ED data can provide reliable early predictions of AKI progression, supporting actionable clinical decision making for a broad spectrum of patients. This study advances the real-world usability of such models by expanding their applicability to discharged patients and by enabling estimation of ongoing kidney risk, irrespective of AKI status on arrival.

Chronic kidney disease detection using XceptionNet with Harmonic Addax Optimization.

Elevated vitamin B12 concentration can be caused by supplementation, liver disease, kidney disease, or myeloid malignancies. Persistent, unexplained elevations of vitamin B12 can raise concern among patients and may lead to invasive diagnostic procedures, including bone marrow biopsy. A potential benign cause of this elevation is macro-B12, a complex of vitamin B12, transcobalamin, and immunoglobulins. Although not bioactive, this complex can cause elevated plasma vitamin B12 concentrations due to reduced clearance. Polyethylene glycol (PEG) precipitation is a laboratory technique that can be used to support the suspicion of macro-B12. Here, a case is described in which a PEG precipitation could potentially have prevented an unnecessary bone marrow biopsy. In addition, the presence of macro-B12 was studied in a group of patients with and without myeloid malignancies. Macro-B12 was identified in 24% of 72 individuals with vitamin B12 > 1476 pmol/L. In one of these patients, a functional vitamin B12 deficiency was confirmed by an elevated methylmalonic acid (MMA) concentration. Macro-B12 was not detected in 8 patients with a myeloid malignancy. These findings suggest that, in patients with persistently elevated vitamin B12 concentrations and a low suspicion of a myeloid malignancy, PEG precipitation may help to explain the elevated vitamin B12 and prevent unnecessary diagnostic procedures including bone marrow punctures.

SGLT2 inhibitors and the risk of incident chronic kidney disease in type 2 diabetes: a nationwide emulated target trial in Taiwan.

Comparative effectiveness of tirzepatide versus GLP-1 receptor agonists on cardiovascular-kidney-metabolic stage progression: a real-world cohort study.

cGAS-STING signaling pathway promotes ischemic kidney injury by regulating HK3-mediated lipid accumulation.

TFEB has a protective effect in cisplatin induced AKI through regulating exosome-MVBs pathway.

Urinary NGAL as an early marker of subclinical kidney injury in adults with substance use disorder: A case-control study.

Plasma biomarkers of neurodegeneration and their associations with type 1 diabetes characteristics and glycemia.

Elevated IL-27 and altered anti-inflammatory cytokine levels in SLE patients with end-stage renal disease.

Renal-targeted drug delivery: overcoming barriers and charting the course.

Clinical Differences and Disparities Among Men and Women With Acute Myocardial Infarction-Related Cardiogenic Shock Undergoing Percutaneous Coronary Intervention.

Orthosiphon aristatus (Blume) Miq. is a medicinal plant valued for its diuretic properties and potential benefits in treating kidney and urinary diseases in the Philippines. Similar to other plants, intraspecific variation exists in O. aristatus, which often leads to ambiguity in the genotype utilized and hinders its effective utilization. Hence, we characterized and evaluated the agromorphological and phytochemical properties of three Philippine accessions of O. aristatus with different inflorescence colors through a field trial conducted in a completely randomized design, to select promising accessions that could serve as genetically stable reference materials. Differences were observed in 22 out of 31 quantitative traits, while variation occurred in 12 out of 18 qualitative traits. Phytochemical traits were negatively correlated with biomass. Philippine Biorepository Network (PBN) 2019-119 (white morphotype) exhibited the highest leaf count of 2,001.75 ± 311.40 per plant, shoot number of 53.25 ± 6.65 g/plant, and dry leaf yield of 25.16 ± 3.99 g/plant. However, PBN 2018-073 (purple morphotype) had the highest total flavonoid content of 31.05 ± 1.83 mg QE/g extract and rosmarinic acid content of 2.957 ± 0.22 mg/200 g sample. Based on both agronomic and phytochemical traits, PBN 2019-119 was identified as the most promising genotype, with a high agronomic yield and intermediate phytochemical content. This is the first study to evaluate O. aristatus accessions in the Philippines. It highlights the importance of understanding infraspecific variation in O. aristatus to improve its utilization and conservation.