ABSTRACT
Curcuma wenyujin, as one of the eight Daodi-herbs in Zhejiang province, is widely used. It has the effects of eliminating stasis and dissipating mass, moving Qi and activating blood, and clearing heart and relieving depression. Modern studies have shown that it has anti-tumor, anti-inflammatory, anti-oxidation, anti-thrombus and liver-protecting effects and mainly contains sesquiterpenoids, monoterpenoids, diterpenoids, and curcumins. This paper reviews the research progress in the chemical constituents and pharmacological effects of C. wenyujin in the last decade, discusses the modern clinical applications combined with the traditional efficacy, and predicts its quality markers(Q-markers) from plant consanguinity, medicinal properties, efficacy, processing and measurability of chemical components based on the theory of Q-markers, so as to provide a reference for the establishment of a scientific quality evaluation system and the research and application of this herb in the future.
Subject(s)
Anti-Inflammatory Agents , Curcuma/chemistry , LiverABSTRACT
BackgroundThe 2019 novel coronavirus (COVID-19) has continuous outbreaks around the world. Lung is the main organ that be involved. There is a lack of clinical data on the respiratory sounds of COVID-19 infected pneumonia, which includes invaluable information concerning physiology and pathology. The medical resources are insufficient, which are now mainly supplied for the severe patients. The development of a convenient and effective screening method for mild or asymptomatic suspicious patients is highly demanded. MethodsThis is a retrospective case series study. 10 patients with positive results of nucleic acid were enrolled in this study. Lung auscultation was performed by the same physician on admission using a hand-held portable electronic stethoscope delivered in real time via Bluetooth. The recorded audio was exported, and was analyzed by six physicians. Each physician individually described the abnormal breathing sounds that he heard. The results were analyzed in combination with clinical data. Signal analysis was used to quantitatively describe the most common abnormal respiratory sounds. ResultsAll patients were found abnormal breath sounds at least by 3 physicians, and one patient by all physicians. Cackles, asymmetrical vocal resonance and indistinguishable murmurs are the most common abnormal breath sounds. One asymptomatic patient was found vocal resonance, and the result was correspondence with radiographic computed tomography. Signal analysis verified the credibility of the above abnormal breath sounds. ConclusionsThis study describes respiratory sounds of patients with COVID-19, which fills up for the lack of clinical data and provides a simple screening method for suspected patients.
