A novel inexpensive murine model of oral administration of digitoxin (100 micro g/kg per day) added to routine chow is described. Serum digitoxin levels achieved after oral (n = 5; 116 +/- 14 ng/mL) and subcutaneous (n = 5; 124 +/- 11 ng/mL) administration were similar. A significant increase in the maximal left ventricular pressure rise of treated (n = 9) compared with control (n = 6) rats (dP/dt: 8956 +/- 233 vs 7980 +/- 234 mmHg/s, respectively; P = 0.01) characterized the positive inotropic action of digitoxin. In addition, no differences were observed in treated compared with control rats with regard to the electrocardiogram and systolic and diastolic left ventricular pressures.
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http://dx.doi.org/10.1111/j.1440-1681.2004.04009.x | DOI Listing |
J Am Chem Soc
January 2025
School of Chemistry and Chemical Engineering, Henan Normal University, Xinxiang, Henan 453007, P. R. China.
Imine-containing azaarene-based triarylmethanes are vital molecular motifs that are prevalent in a wide array of bioactive compounds. Recognizing the limitations of current synthetic methodologies─marked by a scarcity of examples and difficulties in flexible functional group modulation─we have developed an efficient and modular asymmetric photochemical strategy employing pyridotriazoles and boronic acids as substrates. Utilizing novel chiral diamine-derived pyrroles and primary amines as catalysts, we successfully synthesized a diverse range of triarylmethanes with high yields and excellent enantioselectivities.
View Article and Find Full Text PDFHospital wastewater (HWW) is a major pollutant that presents significant risks to both environmental and human health. In this study, we developed a novel, inexpensive and highly antibacterial magnetic nanocomposite composed of FeO nanoparticles synthesised from spent pickling liquors, coated with chitosan and then integrated with polyhexamethylene guanidine hydrochloride (FeO@CS@PHMG) using sodium tripolyphosphate (TPP) as a crosslinking agent. The obtained results revealed that the synthesised nanocomposite exhibited high antibacterial activity against and .
View Article and Find Full Text PDFChem Commun (Camb)
January 2025
School of Chemistry and Chemical Engineering, Yangzhou University, Siwangting Road 180, 225002, Yangzhou, China.
As fundamental structural scaffolds in numerous natural products and pharmaceutical molecules, the construction of cyclohexenone architectures has remained a pivotal focus in organic chemistry. However, established strategies to synthesize cyclohexenone derivatives Dowd-Beckwith ring-expansion reaction invariably involve the use of transition metals and photoirradiation. Herein, we present a novel transition-metal- and photoirradiation-free pathway to access such structures from α-iodomethyl β-keto esters with electron-rich arenediazonium salts as inexpensive radical initiators and oxidants under mild reaction conditions.
View Article and Find Full Text PDFSensors (Basel)
January 2025
Facultad de Ingeniería, Universidad Autónoma de Baja California, Mexicali 21280, Mexico.
Lock-in amplifiers (LIAs) are critical tools in precision measurement, particularly for applications involving weak signals obscured by noise. Advances in signal processing algorithms and hardware synthesis have enabled accurate signal extraction, even in extremely noisy environments, making LIAs indispensable in sensor applications for healthcare, industry, and other services. For instance, the electrical impedance measurement of the human body, organs, tissues, and cells, known as bioelectrical impedance, is commonly used in biomedical and healthcare applications because it is non-invasive and relatively inexpensive.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Division of General Internal Medicine, Mayo Clinic College of Medicine and Science, 200 First St SW, Rochester, US.
Background: Virtual patients (VPs) are computer screen-based simulations of patient-clinician encounters. VP use is limited by cost and low scalability.
Objective: Show proof-of-concept that VPs powered by large language models (LLMs) generate authentic dialogs, accurate representations of patient preferences, and personalized feedback on clinical performance; and explore LLMs for rating dialog and feedback quality.
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