The scientific interpretation of the theory of medicinal properties of TCM is a research hotspot in the modernization of TCM. It is of great value to clarify the property and degree of cold and heat in Chinese materia medica for guiding clinical precise medication. In recent years, the research on the cold and heat properties of Chinese materia medica has been carried out at the animal, cell and molecular levels. Based on the objective material basis of medicinal properties, from the perspective of biological effects such as thermodynamics and multiomics; with the help of infrared thermal imaging and other technologies for analysis; forming a variety of research models such as "property-structure relationship". Related research has developed from a single material component or index to a new model that tends to integrate multi-source information and multi-dimensional data. However, how to deal with the problems of large sample size, strong redundancy, high heterogeneity, and how to integrate multi-dimensional information are still research difficulties. With its powerful computing and learning ability, machine learning can show good discrimination and prediction ability in the study of cold and hot properties of Chinese materia medica, and play an important role in the study of cold and hot properties of Chinese materia medica. At present, the most widely used algorithms are linear discriminant analysis, Logistic discriminant analysis, support vector machine, decision tree, random forest and so on. The data dimension of the existing research needs to be enriched, the algorithm has room for further optimization, and a more detailed discriminant model of cold and hot properties of Chinese materia medica needs to be established.

Objective:To establish HPLC fingerprint spectra and multi-component content determination methods for 20 batches of Mori Ramulus from different origins; To evaluate the quality of Mori Ramulus from different producing areas with similarity evaluation, CA, PCA, PLS-DA and other chemical pattern recognition methods.Methods:The chromatography was performed on Wondasil C18 column (4.6 mm×250 mm, 5 μm) at the detection wavelength of 254 nm, with acetonitrile (A) -0.2% glacial acetic acid (B) as the mobile phase at the flow rate of 0.8 ml/min. The fingerprint was established through the "TCM chromatographic Fingerprint Similarity Evaluation System", the similarity was calculated, and the chemical pattern recognition was carried out by SPSS 26.0 and SIMCA 14.1 software.Results:The similarity calculation results of fingerprint spectra showed that the similarity of the production areas in Fujian, Zhejiang, and Hebei was>0.830, while the similarity of other production areas was>0.900; a total of 14 common peaks were identified, and 8 components of mulberroside A, chlorogenic acid, polydatin, oxyresveratrol, resveratrol, morin, kuwanone G and morusin were identified; CA, PCA analysis divided Mori Ramulus from different producing areas into two categories, extracted four principal components, and the cumulative variance contribution rate was 89.247%. PLS-DA analysis was based on a VIP value greater than 1, and three quality difference criteria of mulberroside A, kuwanone G and morusin were selected.Conclusions:The established HPLC fingerprint and content determination method is simple, reproducible, stable, accurate and reliable. Combined with the chemical stoichiometric analysis methods, the quality evaluation of Mori Ramulus from different origins can be complete, and provide a reference for the quality control of mulberry branches.

Objective:To optimize the technology of Zhangbang wine moistening bran stir-fried Mori Ramulus.Methods:Using the total contents of 8 components including mulberry bark glycoside A, chlorogenic acid, resveratrol, resveratrol glycoside, oxidized resveratrol, mulberry pigment, mulberry ketone G, and mulberry saponin as the examination indicators, single factor investigation of five influencing factors of Zhangbang wine moistening bran stir-fried Mori Ramulus: wheat bran dosage, yellow wine dosage, frying temperature, soaking time, and processing time was conducted. Box Behnken response surface methodology was used for experimental design, to optimize processing technology for Zhangbang wine moistening bran stir-fried Mori Ramulus.Results:The optimal processing technology of the response surface method was: soaking time 116 min, wheat bran amount 19%, rice wine amount 10%, roasting time 7 min, and roasting temperature 237 ℃. Under these conditions, the average total content of eight components in the prepared Mori Ramulus decoction pieces was 787.8 μg/g, and RSD was 0.98%. Conclusion:The optimal processing technology of Zhangbang wine moistening bran stir-fried Mori Ramulus is stable, reliable and repeatable, which can better guarantee the quality of Zhangbang wine moistening bran stir-fried Mori Ramulus.

Due to the increase of susceptible individual species and drug-resistant pathogens, pulmonary infection is still a global problem that threatens human health. Toll-like receptors (TLR) can identify pathogenic pattern related molecules on the surface of pathogenic microorganisms in innate immunity and initiate innate immune response. It can participate in different anti-infection mechanisms and play an important role in pulmonary infectious diseases caused by different pathogens. In this paper, the research progress of TLR in pulmonary infection at home and abroad in recent years is reviewed.

Traditional Chinese medicine shows good hypoglycemic effect with mild efficacy, long duration and few adverse reac-tions. In recent years, the researches on the hypoglycemic effect of Ruikang Hospital Affilliated to traditional Chinese medicine mainly started from the mechanism of new target protein and pathway, for example, Chinese medicine monomers or compounds including as-tragalus polysaccharide, curcumin, berberine, emodin, total saponins of momordicacharantia, total saponins of momordicacharantia, Yitangkang, Jiangtang Sanhuang tablets, Jianpixiaokefang and Tangnaikang granule can activate Adenosine monophosphate ( AMP)-activated protein kinase ( AMPK) to play hypoglycemic effect.

In this study, the time-dependent changes on dynamic computed tomograph (CT) of radiation-induced liver injury in gastric cancer patients was examined. The CT images of 52 gastric cancer patients who had received chemoradiotherapies were reviewed on the PACS system. Dynamic CT scan was performed in all the subjects. Our results showed that 18 patients were found to have radiation-induced liver injury. The CT findings of radiation-induced liver injury in gastric cancer patients tend to show up one month after radiation treatment. The damaged area was of low density on all three phases, and then it was enhanced on portal vein phase or delay phase. The focal radiation reaction of liver without basic disease vanished 9-11 months later after treatment. We are led to conclude that dynamic CT is of help in the diagnosis of CRT-induced liver injury, and it may be the method of choice for following up the whole course of the CRT-induced liver injury, i.e., form hepatic damage to healing. The classification of CT findings we recommend can avoid the influence of technological factors, and thereby serve as a better guide for treatment of CRT-induced liver injury.

In this study, the time-dependent changes on dynamic computed tomograph (CT) of radiation-induced liver injury in gastric cancer patients was examined. The CT images of 52 gastric cancer patients who had received chemoradiotherapies were reviewed on the PACS system. Dynamic CT scan was performed in all the subjects. Our results showed that 18 patients were found to have radiation-induced liver injury. The CT findings of radiation-induced liver injury in gastric cancer patients tend to show up one month after radiation treatment. The damaged area was of low density on all three phases, and then it was enhanced on portal vein phase or delay phase. The focal radiation reaction of liver without basic disease vanished 9-11 months later after treatment. We are led to conclude that dynamic CT is of help in the diagnosis of CRT-induced liver injury, and it may be the method of choice for following up the whole course of the CRT-induced liver injury, i.e., form hepatic damage to healing. The classification of CT findings we recommend can avoid the influence of technological factors, and thereby serve as a better guide for treatment of CRT-induced liver injury.