Infective endocarditis (IE) may be accompanied by the production of a broad spectrum of autoantibodies, including antineutrophil cytoplasmic antibodies (ANCA). ANCA detection creates difficulties in the differential diagnosis of IE, especially in relation to kidney injury, the determination of the mechanism of which is important for choosing a treatment policy and estimating a prognosis. The paper describes a clinical case of a 57-year-old man who was found to have higher proteinase-3 (PR-3) ANCA titers along with the symptoms of anemia, purpura, and kidney injury during his hospitalization; echocardiography revealed vegetation on the aortic valve. IE was diagnosed; 2-week antibiotic therapy was ineffective; there was progressive aortic insufficiency necessitating aortic valve replacement. In the postoperative period, there was progression of renal failure and higher PR-3 ANCA titers, which made it possible to regard kidney injury as a manifestation of ANCA-associated glomerulonephritis. Intensive immunosuppressive therapy with intravenous and oral prednisolone was initiated, which showed positive effects in reducing proteinuria, erythrocyturia, serum creatinine levels, and simultaneously PR-3 ANCA titers. The paper gives the data available in the literature on the frequency of an association of IE with ANCA, the clinical features, diagnostic criteria, and treatment approaches. It discusses the mechanisms of ANCA formation in patients with IE.
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http://dx.doi.org/10.17116/terarkh201789684-88 | DOI Listing |
J Med Internet Res
January 2025
Department of Nephrology, Hunan Key Laboratory of Kidney Disease and Blood Purification, The Second Xiangya Hospital of Central South University, Changsha, China.
Background: Acute kidney injury (AKI) is a common complication in hospitalized older patients, associated with increased morbidity, mortality, and health care costs. Major adverse kidney events within 30 days (MAKE30), a composite of death, new renal replacement therapy, or persistent renal dysfunction, has been recommended as a patient-centered endpoint for clinical trials involving AKI.
Objective: This study aimed to develop and validate a machine learning-based model to predict MAKE30 in hospitalized older patients with AKI.
Diabetes
January 2025
Centre de recherche, Centre hospitalier de l'Université de Montréal (CRCHUM) and Département de médecine, Université de Montréal, 900 Saint Denis Street, Montréal, QC Canada H2X 0A9.
The role of the intrarenal renin-angiotensin system (iRAS) in diabetic kidney disease (DKD) progression remains unclear. In this study, we generated mice with renal tubule-specific deletion of angiotensinogen (Agt; RT-Agt-/-) in both Akita and streptozotocin (STZ)-induced mouse model of diabetes. Both Akita RT-Agt-/- and STZ-RT-Agt-/- mice exhibited significant attenuation of glomerular hyperfiltration, urinary albumin/creatinine ratio, glomerulomegaly and tubular injury.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
January 2025
Institute of Optical Materials and Chemical Biology, Guangxi Key Laboratory of Electrochemical Energy Materials, School of Chemistry and Chemical Engineering, Guangxi University, Nanning 530004, Guangxi, People's Republic of China.
Monitoring subcellular organelle dynamics in real time and precisely assessing membrane heterogeneity in living cells are very important for studying fundamental biological mechanisms and gaining a comprehensive understanding of cellular processes. However, there remains a shortage of effective tools for these purposes. Herein, we propose a strategy to develop the exchangeable water-sensing probeAPBD for time-lapse imaging of dynamics in cellular membrane-bound organelle morphology with structured illumination microscopy at the nanoscale.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Anaesthesiology, Intensive Care and Pain Medicine, University Hospital Müunster, Müunster, Germany.
Objective: Acute kidney injury (AKI) is a frequent complication in critically ill patients, affecting up to 50% of patients in the intensive care units. The lack of standardized and open-source tools for applying the Kidney Disease Improving Global Outcomes (KDIGO) criteria to time series, requires researchers to implement classification algorithms of their own which is resource intensive and might impact study quality by introducing different interpretations of edge cases. This project introduces pyAKI, an open-source pipeline addressing this gap by providing a comprehensive solution for consistent KDIGO criteria implementation.
View Article and Find Full Text PDFIndian J Pediatr
January 2025
Department of Internal Medicine, Yanbian University Hospital, Yanji, Jilin, 133002, China.
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