Publications by authors named "K Kamemura"

Article Synopsis
  • The new Japanese guidelines for primary aldosteronism introduce a "borderline range" for functional confirmatory tests, which is not commonly found in other international guidelines.
  • This study compared patients in the borderline group to definitive-positive and negative groups using data from a nationwide Japanese registry, analyzing results from 1,785 individuals based on their captopril-challenge test results.
  • The findings showed that the borderline group did not differ significantly from the negative group concerning target organ damage, though both groups had higher odds of chronic kidney disease and electrocardiographic abnormalities when compared to definitive-positive patients.
View Article and Find Full Text PDF

VAMP-associated protein (VAP) is a type IV integral transmembrane protein at the endoplasmic reticulum (ER). Mutations in human VAPB/ALS8 are associated with amyotrophic lateral sclerosis (ALS). The N-terminal major sperm protein (MSP) domain of VAPB (Drosophila Vap33) is cleaved, secreted, and acts as a signaling ligand for several cell-surface receptors.

View Article and Find Full Text PDF

Aiming at the application to photodynamic therapy, natural bacteriochlorophyll-a was converted to chemically stable free-base derivatives possessing different kinds of hydrophilic C17-propionate residues. These semi-synthetic bacteriochlorins were found to have self-assembling ability in an aqueous environment and formed stable J-type aggregates in a cell culture medium containing 0.2% DMSO.

View Article and Find Full Text PDF

Background: Heart failure (HF) causes extracardiac organ congestion, including in the hepatic portal system. Reducing venous congestion is essential for HF treatment, but evaluating venous congestion is sometimes difficult in patients with chronic HF. The portal vein (PV) flow pattern can be influenced by right atrial pressure.

View Article and Find Full Text PDF
Article Synopsis
  • The study developed a machine-learning algorithm to help diagnose aldosterone-producing adenoma (APA) using a comprehensive dataset from Japan, involving 41 healthcare centers and patients treated between 2006 and 2019.
  • An ensemble-learning model (ELM) was created by combining seven machine-learning programs, focusing on key predictive factors like serum potassium and aldosterone levels, achieving an impressive accuracy with AUC values of 0.899 for screening and 0.913 for confirmatory tests.
  • This algorithm aims to enhance APA diagnosis in primary care settings, ensuring patients with potentially treatable conditions are accurately identified and managed.
View Article and Find Full Text PDF