Application of Classical Prescriptions of Rhizome Chinese Herbal Medicines for Medicine and Food Homology and Development Status of Its Modern Food

The efficacy,application and compatibility of five kinds of Chinese Herbal Medicines medicine(including yam,licorice,Platyc-odonisi Radix,Polygonati Rhizoma,and Pueraria Lobata)for medicine and food homology in the past five years were systematically searched and summarized,and the current situation of their food development was reviewed to provide theoretical basis for the research and development of this kind of CHMs for health care.

Uric acid-lowering activity and mechanisms of Chinese medicines with medicinefood homology:a systematic study

Objective To summarize the uric acid-lowering effects and mechanisms of Chinese medicines with medicine-food homology,aiming to provide novel perspectives for the devel-opment of new anti-hyperuricemia(HUA)drugs.Methods Papers on the research of HUA prevention and treatment with medicine-food ho-mology from December 15,2002 to August 10,2024 were screened and collected through Chi-na National Knowledge Infrastructure(CNKI),PubMed,ScienceDirect,and Google Scholar.Subsequently,the impact of these medications and their extracts,as well as the active com-pounds on HUA were assessed.Results A total of 148 relevant papers were collected,including 43 kinds of Chinese medicines and 61 active compounds,all of which have anti-HUA activity.Among them,41 kinds of Chinese medicines could inhibit the activity of xanthine oxidase,thus leading to the inhibition of uric acid production;and 22 kinds of Chinese medicines could facilitate uric acid excretion,while 15 kinds of Chinese medicines could reduce the inflammation levels in the body and promoting renal protection.Notably,polyphenols and flavonoids are the key active components for the uric acid-lowering effects.Conclusion This study systematically summarized and analyzed the uric acid-lowering ef-fects and mechanisms of Chinese medicines with medicine-food homology,laying a founda-tion for their development as HUA agents.

Classification of cold and hot medicinal properties of Chinese herbal medicines based on graph convolutional network

Objective To develop a model based on a graph convolutional network(GCN)to achieve ef-ficient classification of the cold and hot medicinal properties of Chinese herbal medicines(CHMs).Methods After screening the dataset provided in the published literature,this study includ-ed 495 CHMs and their 8075 compounds.Three molecular descriptors were used to repre-sent the compounds:the molecular access system(MACCS),extended connectivity finger-print(ECFP),and two-dimensional(2D)molecular descriptors computed by the RDKit open-source toolkit(RDKit_2D).A homogeneous graph with CHMs as nodes was constructed and a classification model for the cold and hot medicinal properties of CHMs was developed based on a GCN using the molecular descriptor information of the compounds as node features.Fi-nally,using accuracy and F1 score to evaluate model performance,the GCN model was ex-perimentally compared with the traditional machine learning approaches,including decision tree(DT),random forest(RF),k-nearest neighbor(KNN),Naïve Bayes classifier(NBC),and support vector machine(SVM).MACCS,ECFP,and RDKit_2D molecular descriptors were al-so adopted as features for comparison.Results The experimental results show that the GCN achieved better performance than the traditional machine learning approach when using MACCS as features,with the accuracy and F1 score reaching 0.8364 and 0.8453,respectively.The accuracy and F1 score have increased by 0.8690 and 0.8120,respectively,compared with the lowest performing feature combina-tion OMER(only the combination of MACCS,ECFP,and RDKit_2D).The accuracy and F1 score of DT,RF,KNN,NBC,and SVM are 0.5051 and 0.5018,0.6162 and 0.6015,0.6768 and 0.6243,0.6162 and 0.6071,0.6364 and 0.6225,respectively.Conclusion In this study,by introducing molecular descriptors as features,it is verified that molecular descriptors and fingerprints play a key role in classifying the cold and hot medici-nal properties of CHMs.Meanwhile,excellent classification performance was achieved using the GCN model,providing an important algorithmic basis for the in-depth study of the“struc-ture-property”relationship of CHMs.

Mendelian Randomization Study of Causal Relationship between Inflammatory Factors and Vascular Dementia and Chinese Herbal Medicines Screening for Prevention and Treatment

Objective: This study aims to examine the causal relationship between inflammatory factors and the probability of developing vascular dementia (VD) using Mendelian Randomization (MR) and Chinese herbal medicine prediction method, and to screen potential Chinese herbal medicines for the prevention and treatment of VD. Methods: Single nucleotide polymorphisms (SNPs) that exhibit a strong association with vascular dementia (VD) were identified as instrumental variables from the summary statistics of genome-wide association studies (GWAS). The primary analytical method employed was inverse variance weighting (IVW), while auxiliary analyses included the MR-Egger method, weighted median method, simple model, and weighted model. A two-way Mendelian randomization analysis was conducted to assess the causal relationship between inflammatory factors and the risk of VD, thereby identifying the key inflammatory factors involved. The MR-Egger intercept test and Cochran’s Q test were employed to assess the horizontal polymorphism and heterogeneity of instrumental variables. A sensitivity analysis was conducted by excluding one method at a time. Ultimately, based on key inflammatory factors, predictions for the prevention and treatment using traditional Chinese medicine were made, along with the screening of homologous herbal remedies. Results: Based on the results of the forward MR, the probability of developing VD was elevated when the inflammatory factors CXCL10 and CXCL5 were expressed at higher levels, whereas the probability of developing VD decreased as the expression levels of IL-13 and IL-20RA increased. These findings were supported by the assessment of pleiotropy, heterogeneity, and sensitivity. The results of the reverse MR analysis showed that there was no causal relationship between VD, as an exposure dataset, and these four inflammatory factors. According to the key inflammatory factors, 37 Chinese herbal medicines such as Siraitia grosvenorii were selected. Their characteristics including four natures, five flavors, channel tropism and treatment efficiency were cold, warm, neutral, pungent, sweet, bitter, lung meridian, spleen meridian, liver meridian, kidney meridian and clearing heat. Among them, Siraitia grosvenorii, Poria with hostwood, Perilla frutescens, and Radix Platycodi were all medicine and food homologous Chinese herbal medicines. Conclusions: The increase of CXCL10 and CXCL5 expression levels can increase the risk of VD, and the increase of IL-13 and IL-20 RA expression levels can reduce the risk of VD. Siraitia grosvenorii and other Chinese herbal medicines might be potential sources of therapeutic drugs for the treatment of VD. Medicine and food homologous Chinese herbal medicines, such as Siraitia grosvenorii, Poria with hostwood, Perilla frutescens, and Radix Platycodi, may help the elderly population with corresponding Traditional Chinese Medicine (TCM) constitutions to prevent VD.

Effects of Salinity Fluctuation and Dietary Traditional Chinese Herbal Medicines on Survival,Growth and Immunity of Exopalaemon carinicauda

[Objective]The aim of this study was to provide a theoretical basis for the large-scale breeding of Exopalaemon carinicauda. [Method]Effects of salinity fluctuation （S0,S3,S6 and S9 represented salinity fluctuations of 0,3,6 and 9 respectivley） and dietary traditional Chinese herbal medicines （0,1%,2% and 4% respectively） on survival,growth and immunity of E.carinicauda were studied,and its experiment lasted for 60 d. [Result]The results showed that specific growth rate,feed conversion efficiency and superoxide dismutase activity of E.carinicauda in the treatment group with 1% dietary traditional Chinese herbal medicine and S6 salinity fluctuation were higher than those in other treatments,which was significantly higher than the treatment groups with S0,S3 and S9 salinity fluctuation at the same adding level of 1% dietary traditional Chinese herbal medicine. The regression analysis indicated that at S0,S3 and S6 salinity fluctuation,the optimal adding level of dietary traditional Chinese herbal medicines in feeds decreased with the increase of salinity fluctuation,accounting for 2.74%,1.77% and 0.51% respectively. At four adding levels of dietary traditional Chinese herbal medicines,the optimal salinity fluctuation of E.carinicauda also decreased with the increase of dietary traditional Chinese herbal medicines in feeds,accounting for 5.26,4.95,3.54 and 1.97 respectively. [Conclusion]Salinity,dietary traditional Chinese herbal medicines and their interactions have a significant effect on survival,growth and immunity of E.carinicauda,which calls for attentions in the breeding.

Screening of Chinese Herbal Medicines Resistant to Chicken Escherichia coli and Infectious Laryngotracheitis Virus

[Objective] This study aimed to screen Chinese herbal medicines resistant to Chicken Escherichia coli and infectious laryngotracheitis virus. [Methed] Conven- tional punch method, test tube method and plate dilution method were adopted for in vitro susceptibility test of chicken E, coil strains O5 and O8 using 13 kinds of Chi- nese herbal medicines including Sanguisorba officinalis, Coptis chinensis, Anemar- rhena asphodeloides, Strobilanthes cusia, Agastache rugosa, etc.; chicken embryo inoculation experiment was adopted to screen Chinese herbal medicines resistant to chicken infectious laryngotracheitis virus. [Result] Sanguisorba officinalis, Fructus mume, Rheum officinale, Coptis chinensis, Herba Taraxaci, Anemarrhena asphode- Ioides, Scutellaria baicalensis and Rhizoma Fagopyri Cymosi had ideal antibacterial effect against chicken E. coil strain O5; Sanguisorba officinalis, Fructus mume, Rheum officinale, Coptis chinensis, Herba taraxaci and Rhizoma Fagopyri Cymosi had ideal antibacterial effect against chicken E. coil strain 08; other Chinese herbal medicines showed relatively poor or no antibacterial effect. Results of chicken embryo inoculation experiment showed that nine kinds of Chinese herbal medicines showed relatively strong anti-lLTV effect, including Forsythia suspensa, Radix Isatidis, Fofium isatidis, Flos Ionicerae, Radix codonopsis, Radix astragali, Atractylodes, Radix gly- cyrrhizae, and Pericarpium granati. [Conclusion] The study laid the foundation for fur- ther development of Chinese herbal compound preparations to treat chicken cofibacil- Iosis, infectious laryngotracheitis and other bacterial, viral diseases.

Molecular mechanism and research progress of traditional Chinese medicine in the treatment of prostate cancer

Prostate cancer(PCa)is one of the most common malignant tumors in the male genitourinary system,ranking second in incidence worldwide.Traditional Chinese medicine(TCM),as an important component of complementary and alternative medicine,shows unique advantages in cancer treatment.Chinese herbal medicine is usually composed of multiple ingredients and involves multiple signaling pathways,which showed function of inducing apoptosis of cancer cells,arresting the cell cycle,inhibiting invasion and metastasis,reducing drug resistance,and regulating immune function.Physical therapy is also an important treatment of TCM.Currently,Physical therapy such as acupuncture or Tai Chi and Qigong are gaining increased recognition in the management of PCa,particularly in addressing issues like urinary incontinence and bone metastasis-related pain.This article reviews the TCM treatment and therapy of PCa,in order to provide new research avenues and treatment options for the treatment of PCa with TCM and improve the quality of life of patients.

Model informed precision medicine of Chinese herbal medicines formulas-A multi-scale mechanistic intelligent model

Recent trends suggest that Chinese herbal medicine formulas(CHM formulas)are promising treatments for complex diseases.To characterize the precise syndromes,precise diseases and precise targets of the precise targets between complex diseases and CHM formulas,we developed an artificial intelligence-based quantitative predictive algorithm(DeepTCM).DeepTCM has gone through multilevel model calibration and validation against a comprehensive set of herb and disease data so that it accurately captures the complex cellular signaling,molecular and theoretical levels of traditional Chinese medicine(TCM).As an example,our model simulated the optimal CHM formulas for the treatment of coronary heart disease(CHD)with depression,and through model sensitivity analysis,we calculated the balanced scoring of the formulas.Furthermore,we constructed a biological knowledge graph representing interactions by associating herb-target and gene-disease interactions.Finally,we experimentally confirmed the therapeutic effect and pharmacological mechanism of a novel model-predicted intervention in humans and mice.This novel multiscale model opened up a new avenue to combine“disease syndrome”and“macro micro”system modeling to facilitate translational research in CHM formulas.

Developments in the study of Chinese herbal medicine's assessment index and action mechanism for diabetes mellitus

In traditional Chinese medicine(TCM),based on various pathogenic symptoms and the‘golden chamber’medical text,Huangdi Neijing,diabetes mellitus falls under the category‘collateral disease’.TCM,with its wealth of experience,has been treating diabetes for over two millennia.Different antidiabetic Chinese herbal medicines re-duce blood sugar,with their effective ingredients exerting unique advantages.As well as a glucose lowering effect,TCM also regulates bodily functions to prevent diabetes associated complications,with reduced side effects compared to western synthetic drugs.Chinese herbal medicine is usually composed of polysaccharides,saponins,al-kaloids,flavonoids,and terpenoids.These active ingredients reduce blood sugar via various mechanism of actions that include boosting endogenous insulin secretion,enhancing insulin sensitivity and adjusting key enzyme activity and scavenging free radicals.These actions regulate glycolipid metabolism in the body,eventually achiev-ing the goal of normalizing blood glucose.Using different animal models,a number of molecular markers are available for the detection of diabetes induction and the molecular pathology of the disease is becoming clearer.Nonetheless,there is a dearth of scientific data about the pharmacology,dose-effect relationship,and structure-activity relationship of TCM and its constituents.Further research into the efficacy,toxicity and mode of action of TCM,using different metabolic and molecular markers,is key to developing novel TCM antidiabetic formulations.

The potential of Chinese herbal medicines in treating anxiety disorders

In recent years,there has not been much progress in developing anxiolytic drugs.Amongst the barriers are the lack of clarity on the pathogenesis of anxiety disorders,low product conversion rates for developing drugs targeting the receptors,and species variability.Some scientists have focused on natural medicines,especially herbal medicines in traditional Chinese medicine.New drugs with excellent anxiolytic activity are hoped to be found in herbal medicines with anxiolytic effects.This mini-review summarised three Chinese herbal medicines with anxiolytic effects and anxiolytic herbal formulas used in the traditional Chinese medicine clinic.Several key issues that block the development of new anxiolytic drugs are also discussed.We hope to provide some ideas for researching and developing new anxiolytic drugs and studying anxiolytic components in traditional Chinese medicine.

Wavelet-based classification and influence matrix analysis method for the fast discrimination of Chinese herbal medicines according to the geographical origins with near infrared spectroscopy

A discriminant analysis technique using wavelet transformation(WT)and influence matrixanalysis(CAIMAN)method is proposed for the near infrared(NIR)spectroscopy classifi-cation.In the proposed methodology,NIR spectra are decomposed by WT for data com-pression and a forward feature selection is further employed to extract the relevant informationfrom the wavelet coefficients,reducing both classification errors and model complexity.Adiscriminant-CAIMAN(D-CAIMAN)method is utilized to build the classification model inwavelet domain on the basis of reduced wavelet coefficients of spectral variables.NIR spectradata set of 265 salviae miltiorrhizae radia samples from 9 different geographical origins is usedas an example to test the classification performance of the algorithm.For a comparison,k-nearest neighbor(KNN),linear discriminant analysis(LDA)and quadratic discriminant analysis(QDA)methods are also employed.D-CAIMAN with wavelet-based feature selection(WD-CAIMAN)method shows the best performance,achieving the total classification rate of ioo%in both cross-validation set and prediction set.It is worth noting that the WD-CAIMANclassifier also shows improved sensitivity,selectivity and model interpretability in thecla.ssifications.

The journey,gain,and thought from engaging in the research of Chinese herbal medicines in China,Japan,and United States

<正>Since early 80s of last century,Chinese herbal medicines focused on the isolation and structural identification of active/chemical compounds have being investigated,started the journey from Henan College of Traditional Chinese Medicine.After one year(1985~1986) advanced study in Prof.Jingxi Xie's laboratory in the

Bioactive Components of Chinese Herbal Medicines in the Treatment of Glucose and Lipid Metabolism Disorders:Evidence and Potential Mechanisms

Disturbed cholesterol and glucose homeostasis play crucial roles in the development of various diseases such as cardiovascular diseases,cerebrovascular diseases,central nervous system diseases,and cancer.An increasing number of studies have shown that excessive body fat accumulation is associated with type 2 diabetes or insulin resistance in a vicious cycle.This vicious cycle promotes the occurrence and development of the aforementioned diseases.Therefore,stabilizing the blood lipids and blood glucose of patients is the predominant strategy for improving the symptoms of patients with cardiovascular,cerebrovascular,and central nervous system diseases.Traditional Chinese medicine,mainly Chinese herbal medicine(CHM),has a history of more than 2000 years in China,which has established a unique theory and accumulated a great wealth of clinical experience.Moreover,CHM has been widely used in China and other countries for the treatment of cardiovascular and cerebrovascular diseases,with the advantages of preventing and curing hyperlipidemia,diabetes,hypertension,and other diseases.However,the use of CHM in Western countries remains rather limited,partly because of the incomplete understanding of multiple complex components and uncertain pharmacological mechanisms.Herein,we review and discuss the benefits,molecular mechanisms,and clinical research progress of bioactive components of CHM and their preparations as therapeutics for hyperlipidemia and hyperglycemia.

Screening of Chinese Herbal Medicines against Avian Infectious Laryngotracheitis Virus and Escherichia coli

[ Objective] This study aimed to screen Chinese herbal medicines against avian infectious laryngotracheitis virus and Escherichia coli. [ Method ] Conventional Chinese medicine plate dilution method, plate punching method and test tube method were applied to screen Chinese herbal medicines against avian infectious laryngotracheitis virus based on chicken embryo inoculation experiment. [ Result ] Forsythia suspensa, Radix lsatidis, Isatis iadigotica, Lonicera japonica, Codonopsis pilosula, Astragalus membranaceus, Rhizoma Atractylodis Macrocephalae, C, tyeyrrhiza uralensis and Pericarpium granati had relatively strong anti-ILTV effect; among the Chinese herbal medicines against avian E. coli, Sanguisorba offwinalis, Fructus Mume, Rheum palmatum, Anemarrhena asphodeloides, Radix Scutellariae and Fagopyrum cymosum had relatively strong effect against avian E. coli Os, while other Chinese herbal medicines had relatively weak or no inhibitory effect on avian E. coli 0s and 05. [ Conclusion] This study laid the foundation for further development of Chinese herbal medicine compound preparations to treat avian infectious laryngotracheitis, avian colibacillosis and other viral diseases and bacterial diseases.

Effects of Fermented Nano Chinese Herbal Medicines Replacing Antibiotics on Production Performance and Carcass Quality of Growing-Finishing Pigs

[Objectives]To study the effects of fermented nano Chinese herbal medicines replacing antibiotics on the production performance and carcass quality of growing-finishing pigs.[Methods]200 healthy and disease-free Duroc-Landrace-Yorkshire(DLY)growing-finishing pigs with similar birth time(45±2 d)and body weight of about 31.5 kg were randomly divided into group A(fed with non-antibiotic basal diet),group B(fed with antibiotic basal diet),group C(fed with non-antibiotic basal diet+0.1%fermented nano Chinese herbal medicine preparation),group D(fed with non-antibiotic basal diet+0.3%fermented nano Chinese herbal medicine preparation)and group E(fed with non-antibiotic basal diet+0.5%fermented nano Chinese herbal medicine preparation).The experiment lasted for 90 d.At the end of the experiment,the production performance and carcass indicators were measured.[Results]Compared with group A,the final weight,average daily gain(ADG)and average daily feed intake(ADFI)of groups B,C,D and E were extremely significantly increased(P<0.01),while the feed-to-gain ratio(F/G)was extremely significantly decreased(P<0.01).Compared with group B,the ADG of group E was significantly increased(P<0.05),while the F/G was significantly decreased(P<0.05).Compared with group A,the slaughter rate and carcass length of pigs in groups B,C,D and E were extremely significantly increased(P<0.01);compared with group B,the slaughter rate of groups D and E was extremely significantly increased(P<0.01).[Conclusions]The fermented nano Chinese herbal medicine preparation has better effects in promoting growth than that of antibiotic additives,and it can significantly improve the carcass quality of growing-finishing pigs.

The effects of Chinese herbal medicines on Madopar dose and adverse reaction during the maintenance phase of Parkinson's disease:a systematic review with meta-analysis

Background:Parkinson’s disease is a progressive neurodegenerative disease,and is usually treated with levodopa combined with dopa decarboxylase inhibitor like Madopar.In order to improve the efficacy and reduce adverse reactions,Chinese herbal medicines are usually applied with Madopar to treat Parkinson’s disease in clinic.According to the results of certain randomized controlled trials,levodopa drugs combined with Chinese herbal medicines could achieve better effects like the improvement of clinical symptoms,the reduced incidence of adverse reactions,and the reduced dose of levodopa drugs(especially in the maintenance phase).However,not all the randomized controlled trials showed favorable effect on Parkinson’s disease.Therefore,it is necessary to find out how to effectively combine Chinese herbal medicines with Madopar.In order to evaluate the effects of Chinese herbal medicines on Madopar dose and adverse reaction during the maintenance phase of Parkinson’s disease,a meta-analysis was conducted.Methods:A systematic research was carried out for randomized controlled trials of combined Chinese herbal medicines and Madopar treatment for Parkinson’s disease during the maintenance phase published till August 2019.The primary outcome was the Madopar dose and secondary outcome was the incidence of adverse reaction.Data were pooled and analyzed with RevMan 5.3.Results:A total of 18 studies were included with 1,169 cases.However,study quality evaluation showed low methodological quality.Meta-analyses showed that the dose of Madopar in the treatment group was significantly lower than that in the control group,and the incidence of adverse reactions in the treatment group was also significantly lower than that in the control group.However,the correlation analysis showed that the reduction of Madopar dose was not related to the reduction of incidence of adverse reactions(P>0.05).There existed publication bias on the primary outcome and secondary outcome.Conclusions:Chinese herbal medicines could reduce the Madopar dose and adverse reaction during the maintenance phase of Parkinson’s disease treatment.This conclusion must be considered cautiously,for lack of studies of high quality.

Discussions about Modern Standardized Production of Genuine Traditional Chinese Herbal Medicines

In recent years,with the vigorous development of the Chinese herbal medicine market in China,the government and various circles of society pay close attention to the safety of Chinese herbal medicine production. The cultivation and production of traditional Chinese herbal medicine already could not satisfy the current market demands. This paper summarized the forming,changing and the influencing factors of Chinese herbal medicines,and organized the research for the formation of traditional Chinese herbal medicines by modern scholars in China. It reached the following conclusion: the production of modern Chinese herbal medicines should ensure its unique properties,and the more important is to guarantee the quality and safety. With the continuous improvement of science and technology innovation ability and the appraisal method of Chinese medicines,the better management system has been applied in the process of planting. This paper summarized the six attributes of modern production of Chinese herbal medicines,to ensure genuine,safe and standardized production of traditional Chinese medicines.

Integration of Chinese herbal medicines and exercise for insomnia:a systematic review and meta-analysis

Background:As a disease,insomnia is often ignored by the general public.Insomnia,which not directly fatal,may be equivalent to chronic suicide if it is not paid attention to.However,there are many theories on how to treat insomnia,and researchers have been searching for a cure.Chinese herbal medicine(CHM)and exercise therapy(ET)are relatively effective,and have been used since ancient times to treat insomnia.This study aimed to examine the effect of CHM combined with ET(CHM-ET)on patients with insomnia.Methods:We searched eight electronic databases including PubMed,Web of Science,EMBASE,the Cochrane Library,the China National Knowledge Infrastructure(CNKI),the China Biology Medicine disc(CBMdisc),the China Science and Technology Journal Database(VIP),the Wanfang Database to find randomized controlled trials(RCTs)evaluating CHM-ET in the treatment of insomnia patients up to September 13,2022.Two researchers read and screened the publications to extract data.We used the pittsburgh sleep quality index(PSQI)as the evaluation indicators for each study,and the other was the total effective rate(TER).The Cochrane risk-of-bias assessment tool was used to assess the risk of bias of the included literature.The level of evidence for this result was assessed by GARDE method.The meta-analysis was performed using STATA 14 software and RevMan 5.3.The research method was registered with PROSPERO(CRD42022350926).Results:We included fourteen randomized controlled trials,which including a total of 1,126 participants.Compared with the control group,the experimental group showed significantly improvements in sleep effect as reflected by the reduced PSQI score[mean difference(MD)=-2.47,95%confidence interval(CI)(-3.15,-1.78),I^(2)=92%]with low quality of evidence,and increased TER[risk ratio(RR)=1.23,95%CI(1.14,1.33),I^(2)=40%]with moderate quality of evidence.Compared with hypnotic drugs,CHM-ET significantly reduced the PSQI score[mean difference(MD)=-3.18,95%CI(-5.48,-0.89),I^(2)=73%]with low quality of evidence.The PSQI of CHM-ET significantly decreased compared with single CHM[mean difference(MD)=-3.04,95%CI(-5.84,-0.25),I^(2)=98%]with low quality of evidence,and ET[mean difference(MD)=-2.44,95%CI(-2.87,-2.02),I^(2)=0%]with moderate quality of evidence.No serious adverse reactions were observed.Conclusion:This review suggested that CHM-ET may be an effective treatment for insomnia.However,given the limited quality of the studies and methodologies included in the trials,further rigorous randomized controlled trials are needed for more accurate results.

Effects of Salinity and Dietary Chinese Herbal Medicine on Survival and Growth of Juvenile Fenneropenaeus chinensis

[Objective] The aim of this study was to provide theoretical basis for the large-scale breeding of Fenneropenaeus chinensis as well as the promotion of Chinese herbal medicine.[Method] The experiment was conducted to determine the effects of salinity（12‰,20‰ and 28‰）and dietary Chinese herbal medicine（CHM：0%,1%,2% and 4%）on survival and growth of juvenile F.chinensis with the average initial wet body weight of 0.027±0.005 g.The experiment lasted for 5 weeks.[Result] The survival rate,specific growth rate,food consumption and apparent digestibility coefficient was increased with CHM level increasing;when attained the critical value,the survival rate,specific growth rate,food consumption and apparent digestibility coefficient decreased with CHM level increasing.Food conversion ratio decreased with CHM level increasing,and then it increased after attained the critical value.At each CHM level,the survival rate,specific growth rate,food consumption and apparent digestibility coefficient were highest at salinity of 20‰,while food conversion ratio was lowest at salinity 20‰.[Conclusion] Salinity and CHM had a significant effect on growth of F.chinensis,which should be paid more attention in the breeding.

Analysis of Adverse Reactions in the Treatment of COVID-19 with Three Chinese Patent Medicines and Three Herbal Formulas

Objective To explore the rules and characteristics of the adverse drug reactions(ADRs)of three Chinese patent medicines and three herbal formulas for the treatment of COVID-19,and to provide a reference for clinical safe medication.Methods The cases and ADR reports of the three Chinese patent medicines and three herbal formulas in PubMed,Web of Science,Springer Link,CNKI,Wanfang and VIP database were retrieved from December 2019 to May 2021.Then we extracted and analyzed the effective information included in the literature.Results and Conclusion According to the pre-developed retrieval plan,a total of 136 documents were obtained,and a total of 6 documents met the inclusion criteria finally.553 patients used three Chinese patent medicines and three herbal formulas,and there were 133 cases of adverse reactions.The adverse reactions of patients taking the three Chinese patent medicines and three herbal formulas can all be explained under the theory of traditional Chinese medicine,and the adverse reactions can be eliminated by adding or subtracting the flavor of the medicine or stopping the medicine.