Predicting Mortality and Hospitalization in Heart Failure With Preserved Ejection Fraction by Using Machine Learning.

Background: Few studies have incorporated echocardiography and laboratory data to predict clinical outcomes in heart failure with preserved ejection fraction (HFpEF).

Objectives: This study aimed to use machine learning to find predictors of heart failure (HF) hospitalization and cardiovascular (CV) death in HFpEF.

Methods: From the Chang Gung Research Database in Taiwan, 6,092 HFpEF patients (2,898 derivation, 3,194 validation) identified between 2008 and 2017 were followed until 2019.

Combinatorial functionomics identifies HDAC6-dependent molecular vulnerability of radioresistant head and neck cancer.

Background: Radiotherapy is the primary treatment modality for most head and neck cancers (HNCs). Despite the addition of chemotherapy to radiotherapy to enhance its tumoricidal effects, almost a third of HNC patients suffer from locoregional relapses. Salvage therapy options for such recurrences are limited and often suboptimal, partly owing to divergent tumor and microenvironmental factors underpinning radioresistance.

Deep imaging of LepR stromal cells in optically cleared murine bone hemisections.

Tissue clearing combined with high-resolution confocal imaging is a cutting-edge approach for dissecting the three-dimensional (3D) architecture of tissues and deciphering cellular spatial interactions under physiological and pathological conditions. Deciphering the spatial interaction of leptin receptor-expressing (LepR) stromal cells with other compartments in the bone marrow is crucial for a deeper understanding of the stem cell niche and the skeletal tissue. In this study, we introduce an optimized protocol for the 3D analysis of skeletal tissues, enabling the visualization of hematopoietic and stromal cells, especially LepR stromal cells, within optically cleared bone hemisections.

Fractionation and identification of ocular protective compounds from kochiae fructus against oxidative damage in retinal pigment epithelium cells.

Ethnopharmacological Relevance: Kochiae Fructus, the ripe fruit of Kochia scoparia, is a traditional Chinese medicine commonly used to treat eye discomforts and vision problems. Although Kochiae Fructus is mentioned in many classical Chinese medical texts, its protective effects and the roles of its active phytochemicals in eye treatment still lack scientific exploration.

Aim Of The Study: This study aimed to clarify the protective effects and identify the active fractions and compounds of Kochiae Fructus against oxidative stress-induced retinal pigment epithelium (RPE) cell death.

17α-methyltestosterone exposure disrupted growth, liver physiology and intestinal microbial on fish: A case study on migratory bony fishes (Takifugu fasciatus).

17α-methyltestosterone (17α-MT) is prevalent in the aqueous environment, but its toxicological profile remains incomplete. This study analyzed the effects of different 17α-MT concentrations on the growth performance, mortality, sex ratio, liver physiological metabolism, and intestinal microorganisms of Takifugu fasciatus, and on the microorganisms composition of its culture environment. Results showed that 17α-MT increased the male ratio and mortality but inhibited the growth of T.