Potential Mechanisms of Action of Chinese Patent Medicines for COVID-19: A Review.

Coronavirus disease 2019 (COVID-19) is an emergent infectious pneumonia caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which is highly contagious and pathogenic. COVID-19 has rapidly swept across the world since it was first discovered in December 2019 and has drawn significant attention worldwide. During the early stages of the outbreak in China, traditional Chinese medicines (TCMs) were involved in the whole treatment process. As an indispensable part of TCM, Chinese patent medicines (CPMs) played an irreplaceable role in the prevention and treatment of this epidemic. Their use has achieved remarkable therapeutic efficacy during the period of medical observation and clinical treatment of mild, moderate, severe, and critical cases and during convalescence. In order to better propagate and make full use of the benefits of TCM in the treatment of COVID-19, this review will summarize the potential target of SARS-CoV-2 as well as the theoretical basis and clinical efficacy of recommended 22 CPMs by the National Health Commission and the Administration of TCM and local provinces or cities in the treatment of COVID-19. Additionally, the study will further analyze the drug composition, potential active ingredients, potential targets, regulated signaling pathways, and possible mechanisms for COVID-19 through anti-inflammatory and immunoregulation, antiviral, improve lung injury, antipyretic and organ protection to provide meaningful information about the clinical application of CPMs.

[Study on different ploidy Siraitia grosvenorii and their genetic relationship by FTIR].

Siraitia grosvenorii was an important Chinese traditional medicine. The spectra of leaf of diploid, triploid and tetraploid Siraitia grosvenorii were determined by Fourier transform infrared spectroscopy (FTIR) with OMNI sampler directly, fast and accurately. And based on the indices of wave number-absorbance from different bands and through comparison of differences of these infrared spectra the ploidy difference and genetic relationship of Siraitia grosvenorii were studied by the methods of principal component analysis (PCA) and cluster analysis. The results showed that for the ploidy, the position relationship of PCA three-dimensional-plot and the distance coefficient of clustering analysis plot between diploid and tetraploid were most remarkbly different, and the triploid was basically between diploid and tetraploid, so the ploidy was more different, the position relationship of PCA and the distance coefficient of clustering analysis were further, and the law was: 2 X < 3 X < 4 X. At the same time, the genetic relationship was further with each other while the position relationship of PCA and distance coefficient of clustering analysis was further too. And the genetic relationship of triploid was affected by the different male parent while their female parent was the same one. Therefore, using FTIR based on PCA and cluster analysis we could reveal the difference of ploidy and the genetic relationship between Siraitia grosvenorii to a certain extent. FTIR could be used for excellently polyploidy species breeding of Siraitia grosvenorii.