Experimental Research on the Antitumor Effect of Human Gastric Cancer Cells Transplanted in Nude Mice Based on Deep Learning Combined with Spleen-Invigorating Chinese Medicine.

Gastric cancer is still the fifth most common malignant tumor in the world and has the fourth highest mortality rate in the world. Gastric cancer is difficult to treat because of its unobvious onset, low resection rate, and rapid deterioration. Therefore, humans have been working hard to combat gastric cancer. At present, the most commonly used treatment method is radiotherapy. However, this method will damage the normal tissues of the irradiated area while treating malignant tumor cells. It not only has side effects of damage to the patient's skin and mucous membranes but also needs high-rate radiotherapy and has high cost for chemotherapy. In order to solve these problems, it is necessary to find new treatment methods. This article proposes the use of Chinese medicine to invigorate the spleen to inhibit human gastric cancer cells. This article combines modern machine learning technology with traditional Chinese medicine and combines traditional Chinese medicine physiotherapy with Western medicine nude mouse transplantation experiments. The treatment of tumors in Chinese medicine is based on the theory of Chinese medicine and has different characteristics. Western medicine has the advantage of permanently injuring patients. The process of the experiment is to transplant human-derived gastric cancer cells into nude mice. After grouping treatments and obtaining comparative data, deep learning techniques are used to analyze the properties of Chinese medicines for strengthening the spleen and to compare the properties of Chinese medicines for strengthening the spleen. The experimental results showed that the tumor inhibition rate of mice using fluorouracil was 18%, the tumor inhibition rate of mice using low-dose Chinese medicine was 16%, and the tumor inhibition rate of mice using high-dose Chinese medicine reached 52%. 80 days after the experiment, the survival rate of mice using high-dose Chinese medicine is 100% higher than that of mice without treatment.

Quantification of "Cold-Hot" Medicinal Properties of Chinese Medicines Based on Primary Metabolites and Fisher's Analysis.

BACKGROUND: Chinese medicinal properties (CMP) are an important part of the basic theory of traditional Chinese medicines (TCMs). Quantitative research on the properties of TCMs is of great significance to deepen the understanding and application of the theory of drug properties and promoting the modernization of TCMs. However, these studies are limited to strong subjectivity or distinguish different drug properties based on certain indicators since CMP studies are diverse. OBJECTIVE: To realize quantitative comparison of same medicinal properties of different Chinese medicines. METHOD: To solve the above problem, we proposed and explored quantification of Chinese medicinal properties (QMP) and the quantification value of medicinal properties "R". The correlation between primary metabolites and "cold-hot" medicinal properties was explored on the premise of material basis of Chinese herbal medicines and Fisher's analysis. Based on indicators related to "cold-hot" medicinal properties, we utilized quantitative values "R" to characterize the strength or weakness of "cold-hot" medicinal properties. RESULTS: According to QMP, the same medicinal properties were quantified and compared by quantification value of medicinal properties that expressed by alphabet "R". The general theoretical formula of "R" deduced is R = (‖l‖ × cos θ)/‖L‖ = ∑ i=1 n j i p i /∑ i=1 n p i 2, in which n ≥ 1. In the light of formula of "R" and indicators related to "cold-hot" medicinal properties, we got "R" value of "cold-cool" and "warm-hot" medicinal properties. "R" values of "cold-cool" medicinal properties of Phellodendri chinensis cortex, Coptidis rhizoma, and Menthae haplocalycis herba were 0.63, 1.00, and 0.49, respectively. The result showed that Coptidis rhizoma is the most "cold-cool", followed by Phellodendri chinensis cortex, with Menthae haplocalycis herba is the weakest in the three Chinese medicines, consistent with cognition of TCM theory. CONCLUSION: QMP has certain guiding significance for the quantification of "cold and hot" drug properties. "R" is feasible to realize the quantitative comparison of the same drug properties of different traditional Chinese medicine, which is helpful to promote process of modern Chinese medicine construction.

Multitask Interactive Attention Learning Model Based on Hand Images for Assisting Chinese Medicine in Predicting Myocardial Infarction.

Acute myocardial infarction (AMI) is one of the most serious and dangerous cardiovascular diseases. In recent years, the number of patients around the world has been increasing significantly, among which people under the age of 45 have become the high-risk group for sudden death of AMI. AMI occurs quickly and does not show obvious symptoms before onset. In addition, postonset clinical testing is also a complex and invasive test, which may cause some postoperative complications. Therefore, it is necessary to propose a noninvasive and convenient auxiliary diagnostic method. In traditional Chinese medicine (TCM), it is an effective auxiliary diagnostic strategy to complete the disease diagnosis through some body surface features. It is helpful to observe whether the palmar thenar undergoes hypertrophy and whether the metacarpophalangeal joint is swelling in detecting acute myocardial infarction. Combined with deep learning, we propose a depth model based on traditional palm image (MTIALM), which can help doctors of traditional Chinese medicine to predict myocardial infarction. By building the shared network, the model learns information that covers all the tasks. In addition, task-specific attention branch networks are built to simultaneously detect the symptoms of different parts of the palm. The information interaction module (IIM) is proposed to further integrate the information between task branches to ensure that the model learns as many features as possible. Experimental results show that the accuracy of our model in the detection of metacarpophalangeal joints and palmar thenar is 83.16% and 84.15%, respectively, which are significantly improved compared with the traditional classification methods.

An evidence mapping of systematic reviews and meta-analysis on traditional Chinese medicine for ulcerative colitis.

BACKGROUND: Traditional Chinese Medicine (TCM) has been a proposed treatment option for ulcerative colitis (UC), however it has been difficult to understand the breadth and depth of evidence as various Chinese medicine therapies may produce effects differently. The aim of this evidence mapping is to visually understand the available evidence in the use of TCM in the treatment of UC, and to identify gaps in evidence to inform priorities of future research. METHODS: A systematic electronic literature search of six databases were performed to identify systematic reviews (SRs) on different Chinese medicine therapies in the treatment in UC. Methodological quality of the included SRs was assessed using AMSTAR 2. RESULTS: The mapping was based on 73 SRs, which included nine interventions that met eligibility criteria. The quality of the included SRs was very low. The diseases stages of patients with UC varied greatly, from active to remission, to non-acute outbreak, to not reported. The results mostly favored the method of intervention. Oral administration combined with enema was the most widely used route of administration in secondary research. CONCLUSION: Based on the current evidence, the treatment of UC with TCM can only be recommended cautiously. A majority of included SRs did not report the location of the disease, the disease classification, and the route of administration of the intervention. Further research is needed on the effectiveness of Chinese medicine alone in the treatment of UC. The effectiveness of combined Chinese and conventional medicine combined with different routes of administration cannot be confirmed. Attention should be paid to the methodological quality of the systematic review. Unifies the outcome indicators used in the evaluation of effectiveness.

Efficacy of erzhu jiedu recipe on hepatitis B cirrhosis with hyperalphafetoproteinemia: A randomized, double-blind, placebo-controlled clinical trial.

BACKGROUND: Hepatitis B cirrhosis with hyperalphafetoproteinemia is the intermediate stage of liver cirrhosis progressing to hepatocellular carcinoma (HCC), there is no effective way to treat precancerous lesions of liver in modern medicine. In recent decades, clinical and experimental evidence shows that Chinese medicine (CM) has a certain beneficial effect on Hepatitis B Cirrhosis. Therefore, this trial aims to evaluate the efficacy and safety of a CM erzhu jiedu recipe (EZJDR) for the treatment of Hepatitis B Cirrhosis with Hyperalphafetoproteinemia. METHODS: We designed a randomized, double blind, placebo-controlled clinical trial. A total of 72 patients of Hepatitis B Cirrhosis with hyperalphafetoproteinemia were randomized in 2 parallel groups. Patients in the control group received placebo granules similar to the EZJDR. In the EZJDR group, patients received EZJDR twice a day, after meals, for 48 weeks. The primary efficacy measures were changes in serum alpha-fetoprotein (AFP) and alpha-fetoprotein alloplasm (AFP-L3); The secondary indicators of efficacy are changes in liver function indicators, HBV-DNA level; Liver stiffness measurement (LSM); Hepatic portal vein diameter; T lymphocyte subgroup indexes during treatment. All data will be recorded in case report forms and analyzed by Statistical Analysis System software. Adverse events will also be evaluated. RESULTS: The results showed that EZJDR can significantly inhibit the levels of AFP and AFP-L3 in patients with hepatitis B cirrhosis and hyperalphafetoproteinemia and have good security. ETHICS AND DISSEMINATION: The study protocol was approved by the Medical Ethics Committee of Shuguang Hospital, affiliated with University of Traditional Chinese Medicine, Shanghai (NO.2018-579-08-01). TRIAL REGISTRATION: This trial was registered on Chinese Clinical Trial Center (NO.ChiCTR1800017165).

Evaluation of the efficacy of traditional Chinese medicine for the reproductive and pregnancy outcomes in women with endometriosis: A nationwide population-based study.

OBJECTIVE: Patients with endometriosis may seek traditional Chinese medicine (TCM) to help them conceive. The present study aims to evaluate the effects of TCM on reproductive and pregnancy outcomes in patients with endometriosis. MATERIALS AND METHODS: The patients with endometriosis taken from the National Health Insurance (NHI) research database between 2000 and 2012 were divided into two cohorts based on the use of TCM treatment. The two cohorts were matched by age and comorbidities and followed up until a new diagnosis of infertility, ectopic pregnancy, or miscarriage. Multivariable Cox proportional hazards models were used to evaluate the hazard ratio (HR) of reproductive and pregnancy outcomes. RESULTS: A total of 5244 patients with endometriosis were analyzed, including 1748 TCM users and 3496 matched control subjects. The proportion of infertility was higher in TCM users than in non-TCM users (adjusted hazard ratio [HR]: 1.34, 95% confidence interval [CI]: 1.13-1.60). However, there was no significant difference in the proportion of ectopic pregnancies between TCM users and non-TCM users (adjusted HR: 0.82, 95% CI: 0.60-1.13). There was no significant difference in the proportion of miscarriages between TCM users and non-TCM users (adjusted HR: 1.23, 95% CI: 0.95-1.61). CONCLUSION: TCM treatment showed insignificant efficacy in decreasing the risk of ectopic pregnancy and miscarriage in patients with endometriosis.

Comparative study on the antituberculous effect and mechanism of the traditional Chinese medicines NiuBeiXiaoHe extract and JieHeWan.

BACKGROUND: The traditional Chinese medicine NiuBeiXiaoHe (NBXH) extract and Chinese medicine preparation JieHeWan (JHW) exhibit anti-tuberculosis effects. The anti- tuberculosis effect of NBXH was compared with that of JHW to elucidate the mechanism of action of NBXH. METHODS: BALB/c mice aged 6-8 weeks were randomly divided into a normal control group, Tuberculosis (TB) model group, JHW treatment group, and NBXH treatment group. After 3 and 13 weeks of treatment, the therapeutic effect in each group was evaluated by comparing lung histopathology, lung and liver colony counts, the number of spots representing effector T cells secreting IFN-γ in an ELISPOT, and the levels of Th1, Th2, and Th17 cytokines, which were measured by a cytometric bead array (CBA). Mouse RNA samples were subjected to transcriptome sequencing. RESULTS: After 13 weeks of treatment, the mean histopathological lesion area of the NBXH group was significantly smaller than that of the TB model group (P < 0.05). Compared with those in the TB model group, the lung colony counts in the JHW and NBXH groups were significantly decreased (P < 0.05), and the IL-2 and IL-4 levels in the NBXH group were significantly increased (P < 0.05). NBXH partly restored significant changes in gene expression caused by Mycobacterium tuberculosis (M. tuberculosis) infection. According to GO and KEGG analyses, the changes in biological process (BP), cell composition (CC) and molecular function (MF) terms and in signaling pathways caused by NBXH and JHW treatment were not completely consistent, but they were mainly related to the immune response and inflammatory response in the mouse TB model. CONCLUSIONS: NBXH had therapeutic effects similar to those of JHW in improving lung histopathology, reducing lung colony counts, and regulating the levels of cytokines. NBXH restored significant changes in gene expression and repaired cell damage caused by M. tuberculosis infection by regulating immune-related pathways, which clarified the mechanism of action of NBXH.

Therapeutic Effects of Traditional Chinese Exercises on Musculoskeletal Pain: A Systematic Review and Meta-Analysis.

Background: The number of patients with musculoskeletal pain, which seriously affects people's quality of life, has increased. Traditional Chinese exercises are accepted and practiced to strengthen the body. Objective: This study aims to explore the efficacy of traditional Chinese exercises for the treatment of musculoskeletal pain. Methods: A comprehensive search of randomized controlled trials (RCTs) related to traditional Chinese exercises on patients with musculoskeletal pain was completed using PubMed, SinoMed, CNKI, VIP, and Wanfang Med Online databases. All RCTs published until February 2021 were considered. Two researchers independently screened the literature according to the predesigned inclusion and exclusion criteria, and data was extracted and assessed for their risk of bias via the Cochrane collaboration tool. Meta-analysis was performed using RevMan5.2 and Rx64 4.0.2 software. Results: A total of 45 RCT studies with 3178 patients were included. Traditional Chinese exercises were able to effectively alleviate patients with musculoskeletal pain (MD = -1.54, 95% confidence interval (-1.88, -1.19), P < 0.01). Among them, the Yi Jin Jing exercise was superior to other exercises, while Wu Qin Xi showed no significant effects. Besides, traditional Chinese exercises had significant positive effects on the dysfunction and stiffness of the waist and knee joints. Traditional Chinese exercises could effectively relieve the clinical symptoms of patients with musculoskeletal pain. Particularly, the Yi Jin Jing exercise presented the most significant positive effect on pain reduction.

Trends and Patterns in Traditional Chinese Medicine Use Among Chinese Population in Late Adulthood: An Eight-Year Repeated Panel Survey.

Traditional Chinese medicine (TCM), originated from China, is different from Western medicine in theory and practice. This study aimed to document the longitudinal trends and the patterns by demographical characteristics in the prevalence of TCM among the middle-aged and elderly Chinese population. This study used nationally representative longitudinal survey data from the China Health and Retirement Longitudinal Study (CHARLS), covering approximately 20,000 individuals in each panel survey from 2011 to 2018. The questions regarding medication use in the questionnaire was used to identify the TCM users. The prevalence of using TCM for treating chronic diseases among the patients with chronic diseases stabilized between 2011 and 2018, while the prevalence of TCM use for any purpose among the overall population climbed from 19.03% (95% CI 18.37% to 19.69%) in 2011 to 23.91% (95% CI 23.23% to 24.60%) in 2015. Moreover, the prevalence of TCM use for nonchronic conditions among the overall population increased during the same period as well. The TCM users were more likely to be females and city dwellers. The increasing prevalence of TCM use for any purpose among the overall population reflects the increasing influence and potentials of TCM by year. With the expected rising demand in TCM for the following decades in China, more clinical trials on safety and healthcare policy regarding TCM are merited in the future.

The dynamics of patient visits to traditional Chinese medicine during the 2019 coronavirus pandemic.

BACKGROUND: Large-scale epidemics have changed people's medical behavior, and patients tend to delay non-urgent medical needs. However, the impact of the pandemic on the use of complementary and alternative medicine remains unknown. METHODS: This retrospective study aimed to analyze the changes in the number of traditional Chinese medicine (TCM) patients and examine the epidemic prevention policy during the coronavirus disease 2019 (COVID-19) pandemic. We analyzed the number of TCM patients in Taipei City Hospital from January 2017 to May 2020. We tallied the numbers of patients in each month and compared them with those in the same months last year. We calculated the percentage difference in the number of patients to reveal the impact of the COVID-19 pandemic on TCM utilization. We used the Mann-Whitney U test to examine whether there was a significant difference in the number of patients during the COVID-19 pandemic. RESULTS: We included a total of 1,935,827 TCM visits of patients from January 2017 to May 2020 in this study. During the COVID-19 pandemic, the number of patients decreased significantly, except in February 2020. The number of patients during the COVID-19 pandemic had fallen by more than 15% compared with those in the same months last year. March and April had the greatest number of patient losses, with falls of 32.8 and 40% respectively. TCM patients declined significantly during the COVID-19 pandemic, and mobile medicine provided to rural areas fell considerably. Among all the TCM specialties, pediatrics and traumatology, as well as infertility treatment, witnessed the most significant decline in the number of patients. However, the number of cancer patients has reportedly increased. CONCLUSIONS: The COVID-19 pandemic decreased the utilization rate of TCM, especially for mobile healthcare in rural areas. We suggest that the government pay attention to the medical disparity between urban and rural areas, which are affected by the pandemic, as well as allocate adequate resources in areas deprived of medical care.

Herbal Medications Used to Treat Fever.

Fever is a natural body defense and a common symptom of disease. Herbs have been used for thousands of years to treat fever. Many herbs have anti-inflammatory properties. Some are useful in reducing the release of cytokines and mediators of inflammation, whereas others work as natural aspirins to inhibit cyclooxygenase. In addition, herbs have known antipathogenic properties and can be effective in the treatment of infection from numerous microorganisms. Last, in traditional Chinese medicine, herbs are used to restore imbalances between the nonpathogenic and the pathogenic clearing interior heat and treating heat patterns in a variety of ways.

Comparative efficacy and safety of complementary and alternative therapies for tubal obstructive infertility: A protocol for network meta-analysis.

BACKGROUND: Infertility is a kind of global disease. Fallopian tubal obstruction is one of the most important causes of female infertility. Complementary and alternative therapies are effective in treating tubal obstructive infertility, but there is no study on a comprehensive comparison among them. So, the purpose of this paper is to evaluate the efficacy and safety of different complementary and alternative therapies for tubal obstructive infertility. METHODS: We will search for randomized controlled trials (RCTs) from the following databases: PubMed, Cochrane Library, EMBASE, Web of Science, Chinese Biomedical Literature Database (SinoMed), Chinese National Knowledge Infrastructure (CNKI), Wanfang database, and VIP database. We will assess the risk of bias of the included studies with the Cochrane tool, and the strength of evidence with the GRADE approach. Both pairwise meta-analyses and network meta-analyses will be performed to examine the relative efficacy and safety of complementary and alternative therapies in the treatment of tubal obstructive infertility. CONCLUSION: Our findings will provide clear evidence based on current available studies, which may lead to some proposals for both patients and researchers. INPLASY REGISTRATION NUMBER: INPLASY202110076.

Traditional Chinese Medicine Formulas Alleviate Acute Pancreatitis: Pharmacological Activities and Mechanisms.

ABSTRACT: Acute pancreatitis (AP) is a common clinical gastrointestinal disorder with a high mortality rate for severe AP and lacks effective clinical treatment, which leads to considerable comorbidity and financial burden. Traditional Chinese medicine (TCM) has had the unique advantage of treating AP for a long time in China. Clinically, TCM formulas such as Da-cheng-qi decoction, Chai-qin-cheng-qi decoction, Qing-yi decoction, Da-chai-hu decoction, and Da-huang-fu-zi decoction are widely administrated to AP patients. All of these TCM formulas can improve gastrointestinal function, regulate the inflammatory response, and enhance immunity, thus preventing complications, reducing the mortality rate and financial burden. This review will summarize the pharmacological activities and mechanisms of TCM formulas in alleviating AP.

Syndrome Differentiation and Treatment Regularity in Traditional Chinese Medicine for Type 2 Diabetes: A Text Mining Analysis.

Objective: The goal of this study was to systematically summarize and categorize the syndrome differentiation, medication rules, and acupoint therapy in the domestic traditional Chinese medicine (TCM) literature on type 2 diabetes mellitus (T2DM), such that guidelines and new insights can be provided for future practitioners and researchers. Methods: Taking randomized controlled trials (RCTs) on the treatment of T2DM in TCM as the research theme, we searched for full-text literature in three major clinical databases, including CNKI, Wan Fang, and VIP, published between 1990 and 2020. We then conducted frequency statistics, cluster analysis, association rules extraction, and topic modeling based on a corpus of medical academic words extracted from 3,654 research articles. Results: The TCM syndrome types, subjective symptoms, objective indicators, Chinese herbal medicine, acupuncture points, and TCM prescriptions for T2DM were compiled based on invigorating the kidney and Qi, nourishing Yin, and strengthening the spleen. Most TCM syndrome differentiation for T2DM was identified as "Zhongxiao" (the lesion in the spleen and stomach) and "Xiaxiao" (the lesion in the kidney) deficiency syndromes, and most medications and acupoint therapies were focused on the "Spleen Channel" and "Kidney Channel." However, stagnation of liver Qi was mentioned less when compared with other syndromes, which did not have symptomatic medicines. Conclusion: This study provides an in-depth perspective for the TCM syndrome differentiation, medication rules, and acupoint therapy for T2DM and provides practitioners and researchers with valuable information about the current status and frontier trends of TCM research on T2DM in terms of both diagnosis and treatment.

Influence of Traditional Chinese Medicine on Medical Adherence and Outcome in Estrogen Receptor (+) Breast Cancer Patients in Taiwan: A Real-World Population-Based Cohort Study.

BACKGROUND: Medical adherence is often higher in clinical trials than in real world practice. The aim of this study was to investigate the effects of traditional Chinese medicine (TCM) on medical adherence to hormonal therapy (HT) and survival outcome in ER (+) breast cancer patients in Taiwan. SUBJECTS AND METHODS: Using a nationwide longitudinal population-based database, we enrolled patients with newly diagnosed ER-positive breast cancer who had received HT, and followed for up to 5 years (N = 872). Medication adherence in terms of medication possession ratios (MPR) and patient outcome were evaluated with or without TCM exposure. We applied logistic regression and Cox proportional hazards (PH) analysis to identify factors, including TCM exposure, associated with adherence to HT and mortality. RESULTS: MPR to HT in general decreased over the 5-year period post breast cancer diagnosis. Both TCM and MPR to HT ≥ 80% were significantly associated with reduced risk of breast cancer-associated mortality. Subgroup analysis revealed that TCM annual visits ≥ 3 times with CHP prescription 1~90 days per year affected mortality reduction most significantly (HR: 0.26; 95% CI = 0.08-0.83; p < 0.05) compared to other TCM use. In contrast, using TCM (either short-term or long-term) was not associated with MPR in HT. CONCLUSIONS: Our results supported the potential advantage of TCM on breast cancer-associated mortality, whereas TCM use does not compromise medical adherence to HT. This study offers important insights in integrative therapy for HT in patients with estrogen receptor (+) breast cancer.

Different impacts of the zero-markup drug policy on county general and traditional Chinese medicine hospitals: evidence from Shandong province, China.

BACKGROUND: As a key part of the new round of health reform, the zero-markup drug policy (ZMDP) removed the profit margins of drug sales at public health care facilities, and had some effects to the operation of these institutions. This study aims to assess whether the ZMDP has different impacts between county general and traditional Chinese medicine (TCM) hospitals. METHODS: We obtained longitudinal data from all county general and TCM hospitals of Shandong province in 2007-2017. We used difference-in-difference (DID) method to identify the overall and dynamic effects of the ZMDP. RESULTS: On average, after the implementation of the ZMDP, the share of revenue from medicine sales reduced by 16.47 and 10.42%, the revenue from medicine sales reduced by 24.04 and 11.58%, in county general and TCM hospitals, respectively. The gross revenue reduced by 5.07% in county general hospitals. The number of annual outpatient visits reduced by 11.22% in county TCM hospitals. Government subsidies increased by 199.22 and 89.3% in county general and TCM hospitals, respectively. The ZMDP reform was not significantly associated with the revenue and expenditure surplus, the number of annual outpatient visits and the number of annual inpatient visits in county general hospitals, the gross revenue, the revenue and expenditure surplus and the number of annual inpatient visits in county TCM hospitals. In terms of dynamic effects, the share of revenue from medicine sales, revenue from medicine sales, and gross revenue decreased by 20.20, 32.58 and 6.08% respectively, and up to 28.53, 63.89 and 17.94% after adoption, while government subsidies increased by around 170 to 200% in county general hospitals. The number of annual outpatient visits decreased by 9.70% and up to 18.84% in county TCM hospitals. CONCLUSION: The ZMDP achieved its some initial goals of removing the profits from western medicines in county hospitals' revenue without disrupting the normal operation, and had different impacts between county general and TCM hospitals. Meanwhile, some unintended consequences were also recognized through the analysis, such as the decline of the utilization of the TCM.

Literature based discovery of alternative TCM medicine for adverse reactions to depression drugs.

BACKGROUND: In recent years, Traditional Chinese Medicine (TCM) and alternative medicine have been widely used along with western drugs as a complementary form of treatment. In this study, we first use the scientific literature to identify western drugs with obvious side effects. Then, we find TCM alternatives for these western drugs to ameliorate their side effects. RESULTS: We used depression as a case study. To evaluate our method, we showed the relation between herb-ingredients-target-disease for representative alternative herbs of western drugs. Further, a protein-protein interaction network of western drugs and alternative herbs was produced, and we performed enrichment analysis of the targets of the active ingredients of the herbs and examined the enrichment of Gene Ontology terms for Biological Process, Cellular Component, and Molecular Function and KEGG Pathway levels, to show how these targets affect different levels of gene expression. CONCLUSION: Our proposed method is able to select herbs that are highly relevant to the target indication (depression) and are able to treat the side effects caused by the target drug. The compounds from our selected alternative herbal medicines can therefore be complementary to the western drugs and ameliorate their side effects, which may help in the development of new drugs.

A Semantic Analysis and Community Detection-Based Artificial Intelligence Model for Core Herb Discovery from the Literature: Taking Chronic Glomerulonephritis Treatment as a Case Study.

The Traditional Chinese Medicine (TCM) formula is the main treatment method of TCM. A formula often contains multiple herbs where core herbs play a critical therapeutic effect for treating diseases. It is of great significance to find out the core herbs in formulae for providing evidences and references for the clinical application of Chinese herbs and formulae. In this paper, we propose a core herb discovery model CHDSC based on semantic analysis and community detection to discover the core herbs for treating a certain disease from large-scale literature, which includes three stages: corpus construction, herb network establishment, and core herb discovery. In CHDSC, two artificial intelligence modules are used, where the Chinese word embedding algorithm ESSP2VEC is designed to analyse the semantics of herbs in Chinese literature based on the stroke, structure, and pinyin features of Chinese characters, and the label propagation-based algorithm LILPA is adopted to detect herb communities and core herbs in the herbal semantic network constructed from large-scale literature. To validate the proposed model, we choose chronic glomerulonephritis (CGN) as an example, search 1126 articles about how to treat CGN in TCM from the China National Knowledge Infrastructure (CNKI), and apply CHDSC to analyse the collected literature. Experimental results reveal that CHDSC discovers three major herb communities and eighteen core herbs for treating different CGN syndromes with high accuracy. The community size, degree, and closeness centrality distributions of the herb network are analysed to mine the laws of core herbs. As a result, we can observe that core herbs mainly exist in the communities with more than 25 herbs. The degree and closeness centrality of core herb nodes concentrate on the range of [15, 40] and [0.25, 0.45], respectively. Thus, semantic analysis and community detection are helpful for mining effective core herbs for treating a certain disease from large-scale literature.

Predictors for the use of traditional Chinese medicine among inpatients with first-time stroke: a population-based study.

BACKGROUND: Stroke is one of the major causes of death and disability. The treatments that are provided to patients during hospitalization after an acute stroke are very important in stabilizing their medical condition and enabling the recovery of their motor functions. However, limited information is available regarding the use of traditional Chinese medicine (TCM) during hospitalization for first-time stroke patients. The researchers aimed to investigate the factors affecting TCM use and to provide clinicians with comprehensive information on TCM use among first-time stroke inpatients in Taiwan. METHODS: The researchers collected and analyzed data, including patient characteristics, TCM use, and TCM prescription patterns, from the National Health Insurance Research Database in Taiwan for first-time stroke inpatients between 2006 and 2012. RESULTS: Among the 89,162 first-time stroke patients, 7455 were TCM users, and 81,707 were TCM nonusers. The predictors for TCM use were as follows: age, 45-64 or < 45 years; men; living in a level 2, 4, or 7 urbanized area; insured amount ≥ 576 USD per month; ischemic stroke; hospitalized for first-time stroke for 8-14 days, 15-28 days, or ≥ 29 days; stroke severity index score 0-9 or 10-19; Charlson-Deyo comorbidity index score 0 or 1-2; hospitalization in a regional or community hospital; receiving rehabilitation; and previous experience with outpatient TCM use. An increase in the number of TCM users was observed from 2006 to 2012. Furthermore, 68.8-79.7% of TCM users used acupuncture only, while 17.8-26.1% used both acupuncture and Chinese herbal medicine. CONCLUSIONS: An increasing number of first-time stroke patients have been choosing TCM as a complementary treatment during hospitalization. Moreover, TCM use is associated with demographic, clinical, and socioeconomic characteristics. These findings may help clinicians comprehensively understand the trend and the important factors affecting TCM utilization among patients who are hospitalized due to first-time stroke.