Traditional Chinese Medicine Literature Research Articles

A COMPARATIVE ANALYSIS OF MARMA AND ACUPRESSURE POINTS

Marma holds a significant position within Ayurveda, as documented in the Susruta Samhita, which identifies 107 Marma points in the human body1. These points are located at junctures where muscles, veins, ligaments, bones, and joints converge and are considered vital centres of life energy. In comparison, acupoints in Tradition-al Chinese Medicine (TCM) share a similar positional concept with Marma points and serve to regulate vital energy. Acupuncture techniques often involve stimulating relevant acupoints to alleviate pain and address ail-ments. Given their shared location and energy regulation characteristics, this study systematically compares their origins, general attributes, and clinical applications, drawing upon Ayurvedic and TCM literature. The findings reveal a primary distinction in their origins, with Marma originating from the battlefield culture of ancient India, while acupoints stem from the medical experiences of ancient China. In terms of general attrib-utes, they exhibit diverse characteristics rooted in their respective medical theories, employing distinct classifica-tion methods. Regarding clinical applications, acupoints have long been integrated into the broader scope of medical science, whereas Marma points gradually gained recognition for their therapeutic functions. Collective-ly, these body points emerge independently, reflecting varying perspectives on the human body cultivated by two distinct civilisations. Through cross-regional comparison, this research enriches understanding of each traditional medicinal system and the cultural contexts that underpin them. Such insights facilitate collaboration and innovation within conven-tional medicine, fostering mutual exchange and appreciation of diverse cultural heritages.

Potential therapeutic effects of traditional Chinese medicine in acute mountain sickness: pathogenesis, mechanisms and future directions.

Acute mountain sickness (AMS) is a pathology with different symptoms in which the organism is not adapted to the environment that occurs under the special environment of high altitude. Its main mechanism is the organism's tissue damage caused by acute hypobaric hypoxia. Traditional Chinese medicine (TCM) theory focuses on the holistic concept. TCM has made remarkable achievements in the treatment of many mountain sicknesses. This review outlines the pathogenesis of AMS in modern and traditional medicine, the progress of animal models of AMS, and summarizes the therapeutic effects of TCM on AMS. Using the keywords "traditional Chinese medicine," "herbal medicine," "acute mountain sickness," "high-altitude pulmonary edema," "high-altitude cerebral edema," "acute hypobaric hypoxia," and "high-altitude," all relevant TCM literature published up to November 2023 were collected from Scopus, Web of Science, PubMed, and China National Knowledge Infrastructure databases, and the key information was analyzed. We systematically summarised the effects of acute hypobaric hypoxia on the tissues of the organism, the study of the methodology for the establishment of an animal model of AMS, and retrieved 18 proprietary Chinese medicines for the clinical treatment of AMS. The therapeutic principle of medicines is mainly invigorating qi, activating blood and removing stasis. The components of botanical drugs mainly include salidroside, ginsenoside Rg1, and tetrahydrocurcumin. The mechanism of action of TCM in the treatment of AMS is mainly through the regulation of HIF-1α/NF-κB signaling pathway, inhibition of inflammatory response and oxidative stress, and enhancement of energy metabolism. The main pathogenesis of AMS is unclear. Still, TCM formulas and components have been used to treat AMS through multifaceted interventions, such as compound danshen drip pills, Huangqi Baihe granules, salidroside, and ginsenoside Rg1. These components generally exert anti-AMS pharmacological effects by inhibiting the expression of VEGF, concentration of MDA and pro-inflammatory factors, down-regulating NF-κB/NLRP3 pathway, and promoting SOD and Na + -K + -ATPase activities, which attenuates acute hypobaric hypoxia-induced tissue injury. This review comprehensively analyses the application of TCM in AMS and makes suggestions for more in-depth studies in the future, aiming to provide some ideas and insights for subsequent studies.

INDIAN COSTUS IN ISLAMIC, AYURVEDA, TCM AND MODERN MEDICINE, A REVIEW ON ANTIMICROBIAL ACTION

Indian Costus species has been mentioned as an herbal remedy for infections in Islamic, Ayurveda and Traditional Chinese Medicine (TCM) literature as well. Using the Indian costus to treat disease is one of the cross-cultural practices, just like cupping therapy and meditation. This would mean that it is safe and beneficial. In the saying (Hadith) of the prophet of Islam, it was prescribed to treat pharyngitis and pleurisy (Ahmad et al., 2009). In TCM, Costus root (Guang Mu Xiang) powder is used to treat gastroenteritis and tenesmus (Nystrom, 2015). In Ayurveda, it is used as a spasmolytic and antiparasitic for intestinal disease (Pandey et al., 2007). Among the pharmacological benefits of costus is the antimicrobial effect. This includes the antibacterial, antiviral, antifungal and antiparasitic action of the substances to be discussed here. We did a focus on the antimicrobial effect in the three systems, compared and concluded findings through modern medicine to verify the evidence here.

TCMSSD: A comprehensive database focused on syndrome standardization

BackgroudQuantitative and standardized research on syndrome differentiation has always been at the forefront of modernizing Traditional Chinese Medicine (TCM) theory. However, the majority of existing databases primarily concentrate on the network pharmacology of herbal prescriptions, and there are limited databases specifically dedicated to TCM syndrome differentiation. PurposeIn response to this gap, we have developed the Traditional Chinese Medical Syndrome Standardization Database (TCMSSD, http://tcmssd.ratcm.cn). MethodsTCMSSD is a comprehensive database that gathers data from various sources, including TCM literature such as TCM Syndrome Studies (Zhong Yi Zheng Hou Xue) and TCM Internal Medicine (Zhong Yi Nei Ke Xue) and various public databases such as TCMID and ETCM. In our study, we employ a deep learning approach to construct the knowledge graph and utilize the BM25 algorithm for syndrome prediction. ResultsThe TCMSSD integrates the essence of TCM with the modern medical system, providing a comprehensive collection of information related to TCM. It includes 624 syndromes, 133,518 prescriptions, 8,073 diseases (including 1,843 TCM-specific diseases), 8,259 Chinese herbal medicines, 43,413 ingredients, 17,602 targets, and 8,182 drugs. By analyzing input data and comparing it with the patterns and characteristics recorded in the database, the syndrome prediction tool generates predictions based on established correlations and patterns. ConclusionThe TCMSSD fills the gap in existing databases by providing a comprehensive resource for quantitative and standardized research on TCM syndrome differentiation and laid the foundation for research on the biological basis of syndromes.

Integrated study reveals mechanism of Tripterygium Wilfordii against cholangiocarcinoma based on bioinformatics approaches and molecular dynamics simulation

BackgroundTripterygium wilfordii Hook. f. (TW) shows anticancer activity, and no study has comprehensively investigated the effects of TW in treating cholangiocarcinoma (CHOL). This study was designed to identify the therapeutic role and the mechanism of TW against CHOL to obtain anti-CHOL candidate components and targets. MethodsIngredients of TW were collected from the Traditional Chinese Medicine System Pharmacology Database and literature. Limma package and weighted gene co-expression network analysis were used to identify the genes related to CHOL. Enrichment analysis of Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) was performed by R package Cluster-Profiler and Metascape, respectively. Protein-Protein Interaction (PPI) network was used to select core genes in the treatment of CHOL by TW, followed by GEPIA2, UALCAN database, and ROC curves to assess their diagnostic and prognostic capability. Molecular docking and molecular dynamics simulation were applied to explore the binding affinity and stability of the complex between the bioactive ingredients in TW and core targets. ResultsA total of 67 ingredients in TW were collected, and 495 genes were obtained as genes of CHOL. 55 common TW-CHOL targets were identified. 171 biological process terms and 100 KEGG pathways were enriched. 12 genes were regarded as core genes through PPI analysis, such as CYP3A4, CES1, GC, and PLG, whose good diagnostic and prognostic capability were identified. Ten ingredients were selected through the construction of Herb-Components-Targets-Disease network. Molecular docking and molecular dynamics simulation both confirmed the good binding affinity and stability of the ligand-protein complexes. ConclusionThis study identified the therapeutic role and predicted the mechanism of TW against CHOL, where TW may combat CHOL through the regulation of metabolic conditions of the body, bile acid secretion, xenobiotics metabolism, and the inflammatory response. Celastrol, triptonide, triptolide and wilforlide A emerged as promising anti-CHOL candidates. So, this study offered a reference for the treatment of CHOL and the development of anti-CHOL drugs.

Jiawei Taohe Chengqi decoction inhibition of the notch signal pathway affects macrophage reprogramming to inhibit HSCs activation for the treatment of hepatic fibrosis

Ethnopharmacological relevanceJiawei Taohe Chengqi Tang (JTCD) is a modified formulation of Traditional Chinese Medicine (TCM) known as Taohe Chengqi Decoction, which has been described in the ancient TCM literature “Treatise on Febrile Diseases”. As a formula that can activate blood circulation and eliminate blood stasis and regulate Yin and Yang in traditional Chinese medicine applications, JTCD has been reported to be effective in the treatment of chronic liver disease and hepatic fibrosis (HF). Aim of studyThe current study aimed to evaluate the effectiveness of JTCD in modulating hepatic macrophages by regulating the Notch signal pathway, and to further investigate the mechanisms underlying macrophage reprogramming that leads to HF. Materials and methodsMolecular assays were performed using in vitro cultures of human mononuclear THP-1 cells and human-derived hepatic stellate cells LX-2. CCl4-induced mice were utilized as an in vivo model to simulate HF. ResultsOur results demonstrated that JTCD exhibited dual effects by inhibiting hepatic stellate cell (HSCs) activation and modulating the polarisation of macrophages towards the M2 phenotype while decreasing the M1 phenotype. Network pharmacological analyses and molecular docking studies revealed that the Notch signal pathway was significantly enriched and played a crucial role in the therapeutic response of JTCD against HF. Moreover, through the establishment of a co-culture model, we validated that JTCD inhibited the Notch signal pathway in macrophages, leading to alterations in macrophage reprogramming, subsequent inhibition of HSC activation, and ultimately exerting anti-HF effects. ConclusionIn conclusion, our findings provide solid evidence for JTCD in treating HF, as it suppresses the Notch signal pathway in macrophages, regulates macrophage reprogramming, and inhibits HSC activation.

Anti-allergic effects of Ulva-derived polysaccharides, oligosaccharides and residues in a murine model of food allergy

The medicinal benefits of green seaweed Ulva have been documented in traditional Chinese medicine literatures. Sulfated polysaccharides found in Ulva are recognized as the primary bioactive compounds, known for their immunomodulatory and anti-inflammatory properties. Despite this knowledge, the available information regarding anti-allergic activities of Ulva remains limited. The objective of this study was to prepare and characterize Ulva-derived polysaccharides (UP), oligosaccharides (UO), and residues (UR), followed by assessing their potential in improving allergic enteritis and gut microbiota in a murine model of ovalbumin (OVA)-induced food allergy. The immunomodulatory activities of UP, UO, and UR were evaluated by measuring the expression of serum antibodies, splenic cytokines and duodenal transcript factors of T cell subsets. The impact of UP, UO, and UR on enteric microbiota was explored by 16S rRNA gene sequencing analysis of fresh fecal samples from treated mice. Oral treatment of UP, UO, and UR noticeably attenuated allergic diarrhea and enteritis. Additionally, Ulva samples treatment decreased serum levels of IgG1 and OVA-specific IgE while increased the level of OVA-specific IgG. Enhanced production of IFN-γ and reduced production of IL-4 and IL-10 by splenocytes were observed in the treated mice. In parallel, Ulva samples treatment led to a decreased number of GATA3+ cells and an increased number of T-bet+ cells in the duodenum. However, the population of Foxp3+ cells was not significantly altered. Moreover, treatment of Ulva samples improved enteric dysbiosis evidenced by an increased abundance of Lactobacillus murinus, L. johnsonii, and L. reuteri, and a decreased abundance of Kineothrix alysoides, Lacrimispora saccharolytica, L. aerotolerans, and Erysipelotrichaceae in feces. In conclusion, UP, UO, and UR, which could modulate the Th1/Th2 immune balance, alleviate allergic enteritis and improve enteric dysbiosis in varying degrees, are potential to be developed into therapeutic agents for food allergy.

Yao-Shan of traditional Chinese medicine: an old story for metabolic health.

Type 2 diabetes mellitus, nonalcoholic fatty liver disease (NAFLD), cardio-cerebrovascular diseases (CCVDs), hyperuricemia and gout, and metabolic-related sexual dysfunction are metabolic diseases that affect human health in modern society. Scientists have made great efforts to investigate metabolic diseases using cell models in vitro or animal models in the past. However, the findings from cells or animals are difficult to translate into clinical applications due to factors such as the in vitro and in vivo differences; the differences in anatomy, physiology, and genetics between humans and animals; and the differences in microbiome-host interaction. The Chinese have extensively used the medicated diet of traditional Chinese medicine (TCM) (also named as Yao-Shan of TCM, Chinese Yao-Shan et al.) to maintain or improve cardiometabolic health for more than 2,200years. These ancient classic diets of TCM are essential summaries of long-term life and clinical practices. Over the past 5years, our group has made every effort to collect and sort out the classic Yao-Shan of TCM from the ancient TCM literature since Spring and Autumn and Warring States Period, especially these are involved in the prevention and treatment of metabolic diseases, such as diabetes, NAFLD, CCVDs, hyperuricemia and gout, and sexual dysfunction. Here, we summarized and discussed the classic Yao-Shan of TCM for metabolic diseases according to the time recorded in the ancient literature, and revised the Latin names of the raw materials in these Yao-Shan of TCM. Moreover, the modern medicine evidences of some Yao-Shan of TCM on metabolic diseases have also been summarized and emphasized in here. However, the exact composition (in terms of ratios), preparation process, and dosage of many Yao-Shan are not standardized, and their main active ingredients are vague. Uncovering the mystery of Yao-Shan of TCM through modern biological and chemical strategies will help us open a door, which is ancient but now looks new, to modulate metabolic homeostasis and diseases.

Studying classic Traditional Chinese Medicine literatures and establishing a solid theoretical foundation

Studying classic Traditional Chinese Medicine literatures and establishing a solid theoretical foundation

Hovenianin A Alleviates Hepatic Fibrosis by Inhibiting the PI3K/AKT Pathway in TGF-β1-Induced HSCs Based on Network Pharmacology and Transcriptomic Analysis.

Hepatic fibrosis is a global health problem, which currently has no FDA approved antifibrotic therapy yet. This study aimed to explore the mechanism of Hovenia genus in the treatment of hepatic fibrosis by an integrative strategy combining network pharmacology analysis, molecular docking, transcriptomics and experimental validation. The traditional Chinese medicine systems pharmacology (TCMSP) database and literatures were used to collect the components of Hovenia genus. Public databases including GeneCards, TTD, PharmGkb were used to acquire the putative targets. The GO and KEGG analysis were applied to explore the underlying mechanisms. Furthermore, The TGF-β1 induced hepatic stellate cells (HSCs) model were performed to evaluate the anti-hepatic fibrosis activity of Hovenia genus. The RT-qPCR, Western blotting and flow cytometry experiments were used to validate the anti-hepatic fibrosis mechanisms of Hovenianin A. The KEGG analysis of network pharmacology and transcriptomics revealed that the core targets mainly enriched in PI3K-Akt signaling pathways. The cell screening results indicated flavonoids were the main active ingredients of Hovenia. Hovenianin A, a bioactive bisflavonol, was validated to promote the apoptosis of HSCs by inhibiting PI3K-Akt pathway. Molecular docking further corroborated the binding sites between Hovenianin A and AKT1. In summary, Hovenia may have therapeutic effects on liver fibrosis by modulating the PI3K-Akt apoptosis pathway. Our findings may facilitate the development of Hovenia genus, which could help to treat liver fibrosis in the future.

Study on The Treatment of Osteonecrosis of The Femoral Head Based on The Classic Theory of “Blood Stasis Removal - Regeneration Bone - Fusion”

Objective Based on Traditional Chinese Medicine (TCM) classics, this paper, by searching the literature on the treatment of femoral head necrosis with TCM, aims to explain the essence of the theory of “blood stasis removal - regeneration bone - fusion”, analyze the development of modern Chinese medicine in the treatment of osteonecrosis of femoral head (ONFH), and provide new ideas for the treatment of ONFH with integrated traditional Chinese and western medicine. Methods CNKI, PubMed, Wanfang and VIP databases were searched by computer to collect literature research on the theory of “blood stasis removal - regeneration bone - fusion” and the treatment of ONFH with integrated TCM Western medicine. Based on content analysis and bibliometric analysis, the modern integrated traditional Chinese and western medicine literature database of treating ONFH with the theory of “removing blood stasis and generating bone” was established and analyzed. Results Based on the theory of “blood stasis removal - regeneration - bone fusion”, this paper found that the TCM treatment of ONFH has the clinical effect of promoting blood circulation and removing blood stasis. The essence of the modern medicine of the theory of “blood stasis removal - regeneration - bone fusion” is to eliminate the microcirculation disorders caused by microvascular regeneration and hypoperfusion, so as to promote bone regeneration, which coincides with the treatment of ONFH by western medicine. Conclusions The theory of “blood stasis removal - regeneration - bone fusion” in modern Chinese medicine has a certain scientific and valuable value, which is worth more scientific research in the future.

Jiawei Taohe Chengqi Decoction attenuates hepatic fibrosis by preventing activation of HSCs through regulating Src/ERK/Smad3 signal pathway

Ethnopharmacological relevanceJiawei Taohe Chengqi Decoction (JTCD) is a Traditional Chinese Medicine (TCM) formula modified from Taohe Chengqi Decoction in the classic ancient literature of TCM “Treatise on Febrile Diseases”. Clinical and pharmacological studies have shown that JTCD has a therapeutic effect on hepatic encephalopathy, non-alcoholic fatty liver, cirrhotic ascites, and can alleviate acute liver injury in rats. Our previous studies confirmed that JTCD could alleviate hepatic fibrosis and activation of hepatic stellate cells (HSCs). However, its mechanism remains unclear. Aim of the studyThis study aimed to elucidate the mechanism of Src Signal on hepatic fibrosis and HSCs activation, and whether JTCD inhibited hepatic fibrosis and HSCs activation through affecting Src Signal. Materials and methodsIn vivo, sixty specific pathogen free male C57/BL6 mice were divided into following six groups: Control group, Model group, SARA group, JTCD low dose group, JTCD medium dose group and JTCD high dose group. Then we established a carbon tetrachloride (CCL4)-induced hepatic fibrosis mice model, each JTCD group was given the corresponding dose of JTCD by gavage, the SARA group was given Saracatinib and the control group was given saline, once a day for 4 consecutive weeks. UPLC-Q-TOF-MS analyzed chemical components of JTCD. Pathological examination including Hematoxylin and Eosin (H&E), Masson and Sirius red staining was used to observe the characteristic of hepatic fibrosis. Automatic biochemical analyzer detected the levels of alanine aminotransfease (ALT), and aspartate transaminase (AST) in serum. Western-blot and immunohistochemical staining (IHC) detected protein expression. In vitro, we used shRNA to knock down the expression of Src in immortalized human hepatic stellate cell line (LX-2), then intervened with ERK1/2 agonists/inhibitors and JTCD-containing serum after transforming growth factor β1 (TGF-β1) treatment. Immunofluorescence and western-blot detected protein expression. The migratory characteristic of HSCs was assessed by wound-healing assay. ResultsWe identified 135 chemical components in the water extract of JTCD, and the water extract of JTCD contains a variety of anti-hepatic fibrosis components. Compared to the model group, hepatic fibrosis performance was significantly improved, the serum levels of ALT and AST were significantly decreased in JTCD groups and SARA group, IHC staining and western blot results indicated that JTCD decreased the expressions of α-smooth muscle actin (α-SMA), phospho-Src (Tyr416), phospho-ERK1/2 and phospho-Smad3. In vitro, JTCD-containing serum could significantly decrease the protein expressions of α-SMA, phospho-Src (Tyr416), phospho-ERK1/2 and phospho-Smad3 according to the results of western-blot and immunofluorescence, in addition, JTCD-containing serum inhibited the mobility and activation of LX-2. What's more, after intervening with Src-shRNA, ERK1/2 agonists/inhibitors and JTCD-containing serum, the western-blot results showed that Src/ERK/Smad3 signal has an important role in hepatic fibrosis and HSCs, and JTCD attenuates hepatic fibrosis by preventing activation of HSCs through regulating Src/ERK/Smad3 signal pathway. ConclusionsThe results showed that Src kinase promoted hepatic fibrosis and HSCs activation through the ERK/Smad3 signal pathway. More importantly, the mechanism by which JTCD attenuated hepatic fibrosis and HSCs activation was by inhibiting the Src/ERK/Smad3 signal pathway.

Influence of Huangqin Decoction on the immune function and fecal microbiome of chicks after experimental infection with Escherichia coli O78

Huangqin Decoction (HQD), a traditional Chinese medicine formula from the Shang Han Lun written by Zhang Zhongjing, has been used in China for nearly two thousand years. According to the traditional Chinese medicine and previous literature, HQD has the effect of clearing heat, removing toxins, relieving diarrhea and pain. Therefore, HQD was used to prevent or cure many diseases, such as inflammation, diarrhea, malaria, and other acute or chronic gastrointestinal diseases. The effect of HQD, one-herb-absent HQD treatments and enrofloxacin (ENR) on the average daily gain (ADG), mortality rates, visceral index and toll-like receptors (TLRs), inflammatory factors and intestinal microflora in E. coli O78-inoculated chicks were investigated. HQD supplementation increased ADG and reduced the mortality rates caused by E. coli challenge, decreased the heart, liver, bursa of Fabricius (BF) and spleen index. HQD supplementation decreased the serum lysozyme (LZM), IL-1β, TNF-α, IL-10, IL-6 level, down-regulated the mRNA expression of TLR4, -5 and -15 in the spleen by E. coli challenged chicks, and up-regulated the mRNA expression of TLR4, -5 and -15 in BF. At the phylum level, HQD supplementation reversed the increase of Operational Taxonomic Unit (OTUs), decreased the relative abundance of harmful bacteria Proteobacteria, increased the relative abundance of probiotic bacteria Bacteroidetes and Firmicutes. At the genus level, HQD decreased the relative abundance of harmful bacteria Escherichia-Shigella and Pseudomonas. It means that HQD treatment reversed the change of the gut microbiota structure. Compared with HQD, HQD-DZ and HQD-HQ increased the mortality rates. HQD-HQ decreased the ADG and liver index. HQD-GC decreased the spleen index. All herb-absent increased the serum IL-6, but only the HQD-HQ and HQD-SY increased the serum TNF-α. All herb-absent did not activate the TLRs signaling pathways in spleen and BF of chicks. The harmful bacteria Escherichia-Shigella were increased in HQD-HQ and HQD-DZ treatments. HQD-DZ treatment also increased the level of Proteobacteria. The results showed that dietary supplementation with HQD, by down-regulating the mRNA expression of TLR4, -5 and -15 in the spleen, further decreasing the serum LZM and IL-1β, TNF-α, IL-10, IL-6 level, improves the immune function and reverses the change of fecal microbiome in chicks challenged with E. coli. In herb-absent supplementation, the results showed that SY and DZ play a key role in reducing the levels of inflammatory factors and keeping fecal microbiome balance respectively. More importantly, HQ is indispensable in HQD, not only play a key role in reducing the level of inflammatory factors, but also in keeping the balance of fecal microflora.

Obstructive sleep apnea hypopnea syndrome in ancient traditional Chinese medicine.

In western medicine, obstructive sleep apnea hypopnea syndrome (OSAHS) is an increasingly serious public health hazard, which is exacerbated by the obesity epidemic and an aging population. Ancient medical literature of traditional Chinese medicine (TCM) also recorded OSAHS-like symptoms but described the disease from a completely distinct theoretical perspective. The earliest records of snoring in ancient China can be traced back 2500years. In TCM, the pathogenesis of OSAHS can be attributed mainly to turbid phlegm and blood stasis. Various TCM prescriptions, herbal medicines, and external therapy have also been proposed for the prevention and therapy of OSAHS. Some of these strategies are still used in current clinical practice. This review highlights historical characterizations of OSAHS and the theory of TCM and also explores its therapy in TCM, which may shed light on future OSAHS research. This is the first systematic English review of the role of TCM in the treatment of OSAHS.

A Multigranularity Text Driven Named Entity Recognition CGAN Model for Traditional Chinese Medicine Literatures.

Recognition of Traditional Chinese Medicine (TCM) entities from different types of literature is challenging research, which is the foundation for extracting a large amount of TCM knowledge existing in unstructured texts into structured formats. The lack of large-scale annotated data makes unsatisfactory application of conventional deep learning models in TCM text knowledge extraction. Some other unsupervised methods rely on other auxiliary data, such as domain dictionaries. We propose a multigranularity text-driven NER model based on Conditional Generation Adversarial Network (MT-CGAN) to implement TCM NER with small-scale annotated corpus. In the model, a multigranularity text features encoder (MTFE) is designed to extract rich semantic and grammatical information from multiple dimensions of TCM texts. By differentiating the conditional constraints of the generator and discriminator of MT-CGAN, the synchronization between the generated tag labs and the named entities is guaranteed. Furthermore, seeds of different TCM text types are introduced into our model to improve the precision of NER. We compare our method with other baseline methods to illustrate the effectiveness of our method on 4 kinds of gold-standard datasets. The experiment results show that the standard precision, recall, and F1 score of our method are higher than the state-of-the-art methods by 0.24∼8.97%, 0.89∼12.74%, and 0.01∼10.84%. MT-CGAN is able to extract entities from different types of TCM literature effectively. Our experimental results indicate that the proposed approach has a clear advantage in processing TCM texts with more entity types, higher sparsity, less regular features, and a small-scale corpus.

Comparative research on structure function recognition based on deep learning

PurposeThe research on structure function recognition mainly concentrates on identifying a specific part of academic literature and its applicability in the multidiscipline perspective. A specific part of academic literature, such as sentences, paragraphs and chapter contents are also called a level of academic literature in this paper. There are a few comparative research works on the relationship between models, disciplines and levels in the process of structure function recognition. In view of this, comparative research on structure function recognition based on deep learning has been conducted in this paper.Design/methodology/approachAn experimental corpus, including the academic literature of traditional Chinese medicine, library and information science, computer science, environmental science and phytology, was constructed. Meanwhile, deep learning models such as convolutional neural networks (CNN), long and short-term memory (LSTM) and bidirectional encoder representation from transformers (BERT) were used. The comparative experiments of structure function recognition were conducted with the help of the deep learning models from the multilevel perspective.FindingsThe experimental results showed that (1) the BERT model performed best, with F1 values of 78.02, 89.41 and 94.88%, respectively at the level of sentence, paragraph and chapter content. (2) The deep learning models performed better on the academic literature of traditional Chinese medicine than on other disciplines in most cases, e.g. F1 values of CNN, LSTM and BERT, respectively arrived at 71.14, 69.96 and 78.02% at the level of sentence. (3) The deep learning models performed better at the level of chapter content than other levels, the maximum F1 values of CNN, LSTM and BERT at 91.92, 74.90 and 94.88%, respectively. Furthermore, the confusion matrix of recognition results on the academic literature was introduced to find out the reason for misrecognition.Originality/valueThis paper may inspire other research on structure function recognition, and provide a valuable reference for the analysis of influencing factors.

Design of a Barometer-Based Pulse-Taking Device With In Vivo Validation Against High-Frequency Ultrasound Pulse Wave Imaging

Wrist-site pulse-sensing devices have drawn increasing attention for daily monitoring of human body conditions in the context of western medicine and modernization of traditional Chinese medicine (TCM) palpation. Existing tactile pulse sensors are deemed to only access the superficial tissue layer as surface detectors but have not been validated against medical imaging of the radial artery and its pulsation. We hereby proposed to employ high-frequency (15.6MHz) and high frame-rate (1000fps) ultrasound radial pulse wave imaging (US-rPWI) to substantiate human radial pulse-taking. We first presented an easy-to-fabricate, cost-effective pulse-sensing prototype based on a commercial off-the-shelf (COTS) barometer. The prototype performance was evaluated using a homemade pressurized vessel-mimicking phantom and 30 different <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">in vitro</i> pulses outputted from a TCM palpation training machine. Phantom experiments evidenced accurate portrayal of dynamic pressure waveforms (mean distortion ratio: 3.38±0.07%, compared with the ground truth). <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">In vivo</i> validation on human pre- and post- prandial pulses was further performed. US-rPWI revealed significantly diminished pulse amplitudes and gradual waveform deformation from the arterial wall to the skin layer. Nevertheless, <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">in vivo</i> pulse waveforms detected at the skin surface by the prototype were highly correlated (correlation coefficient: 0.926±0.07) with those obtained from the radial arterial wall by US-rPWI. Moreover, the changes in post-prandial pulse waveforms detected by both the prototype and US-rPWI were in excellent agreement with those in TCM literature, thus demonstrating the sensitivity of human pulse-taking in quantitative assessment of health conditions at the point of care and providing more clinical evidence for the modernization of TCM sphygmology.

Identifying Active Substances and the Pharmacological Mechanism of Houttuynia cordata Thunb. in Treating Radiation-Induced Lung Injury Based on Network Pharmacology and Molecular Docking Verification

Background Houttuynia cordata Thunb. is a traditional Chinese herb widely used mainly because of the pharmacological effects related to heat clearance and detoxification. Emerging clinical evidence indicates that the efficacy of Houttuynia cordata Thunb. on RILI is upstanding. Nevertheless, its underlying therapeutic mechanism remains unclear and warrants further elucidation. Methods The major active components and corresponding targets of Houttuynia cordata Thunb. were retrieved from the traditional Chinese medicine system pharmacology database (TCMSP) and literature review. The related targets of RILI were retrieved from the GeneCards database. Common targets among the active compounds and diseases were identified through Venn diagram analysis. Cytoscape was employed to construct and visualize the network relationship among the drug, active compounds, targets, and disease. The protein interaction network (PPI) was constructed by STRING. The reliability (the binding affinity) of the core targets and active compounds was verified by molecular docking. Results A search of the TCMSP database and related literature revealed 12 active compounds of Houttuynia cordata Thunb. against RILI. The core active compounds included quercetin, kaempferol, hyperoside, and rutin. Hub nodes including TP53, VEGFA, JUN, TNF, and IL-6 were identified in the PPI network. The GO categories were classified into three functional categories: 112 biological processes, 9 molecular functions, and 32 cellular components of the active compounds of Houttuynia cordata Thunb. The KEGG pathway enrichment analysis demonstrated the enrichment of target genes in several key cancer-related signaling pathways, including the cancer pathways, TNF signaling pathway, PI3K-Akt signaling pathway, and HIF-1 signaling pathway. Molecular docking analysis validated the effective binding capacity of the main active compounds with the core targets. Conclusion The main active components of Houttuynia cordata Thunb. have a potential pharmacological effect against RILI via the cancer pathways, TNF signaling pathway, and PI3K-Akt signaling pathway.

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

ObjectiveThe 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.MethodsTaking 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.ResultsThe 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.ConclusionThis 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.

An Improved Deep Learning Model: S-TextBLCNN for Traditional Chinese Medicine Formula Classification.

Purpose: This study proposes an S-TextBLCNN model for the efficacy of traditional Chinese medicine (TCM) formula classification. This model uses deep learning to analyze the relationship between herb efficacy and formula efficacy, which is helpful in further exploring the internal rules of formula combination. Methods: First, for the TCM herbs extracted from Chinese Pharmacopoeia, natural language processing (NLP) is used to learn and realize the quantitative expression of different TCM herbs. Three features of herb name, herb properties, and herb efficacy are selected to encode herbs and to construct formula-vector and herb-vector. Then, based on 2,664 formulae for stroke collected in TCM literature and 19 formula efficacy categories extracted from Yifang Jijie, an improved deep learning model TextBLCNN consists of a bidirectional long short-term memory (Bi-LSTM) neural network and a convolutional neural network (CNN) is proposed. Based on 19 formula efficacy categories, binary classifiers are established to classify the TCM formulae. Finally, aiming at the imbalance problem of formula data, the over-sampling method SMOTE is used to solve it and the S-TextBLCNN model is proposed. Results: The formula-vector composed of herb efficacy has the best effect on the classification model, so it can be inferred that there is a strong relationship between herb efficacy and formula efficacy. The TextBLCNN model has an accuracy of 0.858 and an F1-score of 0.762, both higher than the logistic regression (acc = 0.561, F1-score = 0.567), SVM (acc = 0.703, F1-score = 0.591), LSTM (acc = 0.723, F1-score = 0.621), and TextCNN (acc = 0.745, F1-score = 0.644) models. In addition, the over-sampling method SMOTE is used in our model to tackle data imbalance, and the F1-score is greatly improved by an average of 47.1% in 19 models. Conclusion: The combination of formula feature representation and the S-TextBLCNN model improve the accuracy in formula efficacy classification. It provides a new research idea for the study of TCM formula compatibility.