Field Of Traditional Chinese Medicine Research Articles

Exploring the “gene–metabolite” network of ischemic stroke with blood stasis and toxin syndrome by integrated transcriptomics and metabolomics strategy

A research model combining a disease and syndrome can provide new ideas for the treatment of ischemic stroke. In the field of traditional Chinese medicine, blood stasis and toxin (BST) syndrome is considered an important syndrome seen in patients with ischemic stroke (IS). However, the biological basis of IS-BST syndrome is currently not well understood. Therefore, this study aimed to explore the biological mechanism of IS-BST syndrome. This study is divided into two parts: (1) establishment of an animal model of ischemic stroke disease and an animal model of BST syndrome in ischemic stroke; (2) use of omics methods to identify differentially expressed genes and metabolites in the models. We used middle cerebral artery occlusion (MCAO) surgery to establish the disease model, and utilized carrageenan combined with active dry yeast and MCAO surgery to construct the IS-BST syndrome model. Next, we used transcriptomics and metabolomics methods to explore the differential genes and metabolites in the disease model and IS-BST syndrome model. It is found that the IS-BST syndrome model exhibited more prominent characteristics of IS disease and syndrome features. Both the disease model and the IS-BST syndrome model share some common biological processes, such as thrombus formation, inflammatory response, purine metabolism, sphingolipid metabolism, and so on. Results of the “gene–metabolite” network revealed that the IS-BST syndrome model exhibited more pronounced features of complement-coagulation cascade reactions and amino acid metabolism disorders. Additionally, the “F2 (thrombin)–NMDAR/glutamate” pathway was coupled with the formation process of the blood stasis and toxin syndrome. This study reveals the intricate mechanism of IS-BST syndrome, offering a successful model for investigating the combination of disease and syndrome.

Construction of a Multicellular Communication Network Model for Cell Co-Culture Technology and Evaluation of Its Simulation Capability

Abstract Objective: Cell co-culture technology has been widely used to analyze the effects of drugs on cell proliferation and the expression of some proteins in cells, especially in the field of traditional Chinese medicine (TCM); however, the interactions between cells and the transmission of TCM effects between cells have not been adequately studied. Materials and Methods: Using data on gene transcription regulation, biological response, signal channel, and cell-specific expression protein, we built a network for cell types based on entity grammar. Through the correspondence and location information of signal molecules and receptors, type-specific networks of single cells were connected and a multicellular network of smooth muscle cells, neurons, and vascular endothelial cells was constructed. The mechanism of action of nimodipine was analyzed based on the multicellular communication network and its simulation capability was evaluated. Results: The outputs generated by the model developed in this study showed that nimodipine inhibited smooth muscle contraction, due to the overload of Ca2+ and the toxicity of excitatory amino acids, and protected neurons and vascular endothelial cells by supporting cell proliferation and inhibiting cell apoptosis. These results were consistent with the known mechanism of nimodipine action, thus confirming that the multicellular network can be used to study the transmission of drug effects among cells. Conclusions: This study lays a foundation for the analysis of the transmission of drug effects in multi-cells, tissues, organs, and other spatial scales through multicellular co-culture experiments, based on a multicellular communication network. In addition, it provides a biological network model for the analysis of TCM action mechanisms.

Efficacy and safety of Piwei Peiyuan Prescription in the treatment of chronic atrophic gastritis: A multicenter, double-blind, double-simulated, randomized, controlled clinical trial.

The incidence of chronic atrophic gastritis (CAG) is on the rise due to the growing pressure in modern social life, increasing bad living habits and emotional disorders (such as anxiety and depression), and the aging of the population. Of note, digestive system diseases are the dominant diseases in the field of traditional Chinese medicine (TCM). Therefore, this study evaluated the efficacy and safety of Piwei Peiyuan Prescription, a TCM prescription, in the treatment of CAG through a multicenter, double-blind, randomized, controlled design. This research was organized by the Second Affiliated Hospital of Anhui University of TCM and simultaneously performed in 6 centers. A total of 120 CAG patients were included and randomized into 2 groups: group A (treatment with Piwei Peiyuan granules plus Weifuchun Simulant) and Group B (treatment with Weifuchun Tablets plus Piwei Peiyuan Simulant). These 2 groups were compared in terms of gastroscopy scores, TCM syndrome scores, and serological indicators at baseline and within 12 weeks after treatment. According to endoscopic biopsy for pathological observation, atrophy (2.56 ± 1.08 vs 3.00 ± 1.00, P = .028) and intestinal epithelial hyperplasia (1.00 ± 1.43 vs 1.69 ± 1.80, P = .043) scores were lower in group A than in group B. For the more, group A had higher effective rates for inflammation, atrophy, and intestinal metaplasia (IM) in various regions of the stomach, especially for atrophy/IM of the gastric angle (64%, P = .034) and atrophy/IM of the lesser curvature of gastric antrum (63%, P = .042) than group B. According to TCM syndrome scores, Piwei Peiyuan Prescription improved the scores of gastric distension (2.30 ± 1.13 vs 2.80 ± 0.99, P = .022), preference for warmth and pressure (1.44 ± 1.06 vs 1.36 ± 1.10, P = .041), and poor appetite and indigestion (0.78 ± 0.66 vs 1.32 ± 0.72, P = .018). GAS, MTL, and PGE2 expression was significantly elevated after treatment with Piwei Peiyuan Prescription (P < .001). Piwei Peiyuan Prescription is effective for CAG treatment with high safety.

Core characteristics of sublingual veins analysis and its relationship with hypertension.

The sublingual vein (SV) is a specialized diagnostic method used in Traditional Chinese Medicine (TCM). Despite its ability to objectively reflect blood flow, SV is often overlooked in clinical practice. This study aims to analyze the core characteristics of SV and investigate the in-depth relationship between its digital characteristics and hypertension. The goal is to find a link between SV and hypertension and break out of the current situation. Modern digital analysis techniques were applied to the traditional SV diagnostic theory. In a controlled study with 204 participants, the digital characteristics of SV were documented using TFDA-1, and its color value was analyzed using TDAS. Morphological characteristics of SV, such as trunklength, width, and tortuosity, were examined by combining computer vision with expert interpretation. This involved the application of automatic ranging methods and a rectangular approximation algorithm, which are novel approaches in the field of TCM. The t-test and Mann-Whitney U test were used to analyze the digital characteristics of SV in hypertension. Binary logistic regression and neural network models were established using machine learning to explore the deep relationship between SV characteristics and hypertension. There was a significant difference of the tortuosity of SV between the two groups (Z=-2.629, p= 0.009). The results revealed thick width of SV (OR = 2.64, 95% CI: 1.02-6.79) was the risk factor for hypertension. Addition of SV characteristics improved overall percent correct for hypertension prediction to 80%. TCM method of diagnosis of SV has been greatly expanded in terms of technical means, and the close relationship between SV and hypertension has been found in clinical data.

Development and Application of Traditional Chinese Medicine Using AI Machine Learning and Deep Learning Strategies.

Traditional Chinese medicine (TCM) has been used for thousands of years and has been proven to be effective at treating many complicated illnesses with minimal side effects. The application and advancement of TCM are, however, constrained by the absence of objective measuring standards due to its relatively abstract diagnostic methods and syndrome differentiation theories. Ongoing developments in machine learning (ML) and deep learning (DL), specifically in computer vision (CV) and natural language processing (NLP), offer novel opportunities to modernize TCM by exploring the profound connotations of its theory. This review begins with an overview of the ML and DL methods employed in TCM; this is followed by practical instances of these applications. Furthermore, extensive discussions emphasize the mature integration of ML and DL in TCM, such as tongue diagnosis, pulse diagnosis, and syndrome differentiation treatment, highlighting their early successful application in the TCM field. Finally, this study validates the accomplishments and addresses the problems and challenges posed by the application and development of TCM powered by ML and DL. As ML and DL techniques continue to evolve, modern technology will spark new advances in TCM.

Borneol acts as an adjuvant agent to enhance the oral absorption of Panax notoginseng saponins in rats: Effect of optical configuration and compatibility ratios

Panax notoginseng saponins (PNS), as the main active component of Panax notoginseng, shows broad pharmacological effects but with low oral bioavailability. Borneol (BO) is commonly used as an adjuvant drug in the field of traditional Chinese medicine, which has been proven to facilitate the absorption of ginsenosides such as Rg1 and Rb1 in vivo. The presence of chiral carbons has resulted in three optical isomers of BO commercially available in the market, all of which are documented by national standards. This study aimed to investigate the role of BO in promoting the oral absorption of PNS from the perspective of optical configuration and compatibility ratios. In this study, an ultra-performance liquid chromatography coupled with triple quadrupole-linear ion trap tandem mass spectrometry (UPLC-QTRAP-MS/MS) method was validated and applied to determine the concentrations of five main saponins in PNS in rat plasma. The kinetic characteristics of PNS was compared when co-administered with BO based on optical isomerism and different compatibility ratios. The results showed that BO promoted the exposure of PNS in rats. Three forms of BO, namely d-borneol (DB), l-borneol (LB), and synthetic borneol (SB), exhibited different promotion strengths. SB elevated PNS exposure in rats more than DB or LB. It is also interesting to note that under different compatibility ratios, SB can exert a strong promoting effect only when PNS and BO were combined in a 1:1 ratio (PNS 75 mg/kg; BO 75 mg/kg). As a pharmacokinetic booster, the dosage of BO is worthy of consideration and should follow the traditional medication principles of Chinese medicine. This study shed new light on the compatible use of PNS and BO from the perspective of "configuration-dose-influence" of BO. The results provide important basis for the clinical application and selection of BO.

Brief discussion of the differences in the acupoint location between Meridians and Acupoints and Acupuncture and Moxibustion.

There are the differences in the location of some acupoints between textbooks Meridians and Acupoints and Acupuncture and Moxibustion. Both of the textbooks are in the category of the "14th Five-Year Plan". The differences in acupoint location have brought some confusion for students, full-time teachers and researchers in the field of traditional Chinese medicine. In the paper, based on GB/T 12346-2021： Nomenclature and Location of Meridian Points, published in2021, and in reference with GB/T 12346-2006： Nomenclature and Location of Acupuncture Points, published in 2006, the discrepancy in the acupoint location was systematically collated in the aspects of the expression style and layout, text expression and potential difference of location between these two textbooks, published by China Press of Traditional Chinese Medicine, People's Medical Publishing House and China Science Publishing. Based on the historical evolution and the academic controversy of acupoint positioning, the reasons of the differences in acupoint location were analyzed, the potential influences on the teaching, examination, competition and research of Chinese medicine acupuncture were explored, and the suggestions for solution were proposed.

Perceptions and Controversies on Cholera in Traditional Chinese Medicine Field in Late Qing Dynasty

Abstract At the beginning of the initial cholera outbreak in China, Wang Qingren (王清任), after years of clinical trials, became an early representative who discovered the infectious characteristics and observed the course of cholera in the field of traditional Chinesse medicine (TCM). Later, Kou Langao (寇兰皋) and Xu Zimo (徐子默), both medical practitioners, constructed a diagnosis and treatment system for cholera with cold patterns under the theory of typhoid. They represented "School of Cholera with Cold Patterns" (SCCP). In the 1860s, with the influence of Wang Shixiong’s (王士雄) studies on the nature of cholera under the theory of epidemic febrile disease, the "School of Cholera with Heated Patterns" (SCHP) prevailed thereafter. The two schools complemented each other in theories and contributed to the integrity of TCM in cholera diagnosis and treatment. By reviewing previous literature, books, clinical cases, and historical materials in medical field, this article aims 1) to summarise the influence TCM on the perception development towards cholera in the late Qing dynasty; 2) to explore the origin of the controversy between SCCP and SCHP from historical evidence; 3) to summarize the historical lessons from the debate over cholera in TCM based on the principle of treatment based on pattern identification, and offer suggestions for the current prevention and treatment of new diseases using TCM.

Distribution and protection of Thesium chinense Turcz. under climate and land use change.

Wild medicinal plants are prominent in the field of Traditional Chinese Medicine (TCM), but their availability is being impacted by human activities and ecological degradation in China. To ensure sustainable use of these resources, it is crucial to scientifically plan areas for wild plant cultivation. Thesium chinense, a known plant antibiotic, has been overharvested in recent years, resulting in a sharp reduction in its wild resources. In this study, we employed three atmospheric circulation models and four socio-economic approaches (SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5) to investigate the primary environmental factors influencing the distribution of T. chinense. We also examined changes in its suitable area using the Biomod2 package. Additionally, we utilized the PLUS model to project and analyze future land use changes in climate-stable regions for T. chinense. Our planning for wild tending areas of T. chinense was facilitated by the ZONATION software. Over the next century, the climate-stable regions for T. chinense in China is approximately 383.05 × 104 km2, while the natural habitat in this region will progressively decline. Under the current climate conditions, about 65.06% of the habitats in the high suitable areas of T. chinense are not affected by future land use changes in China. Through hotspot analysis, we identified 17 hotspot cities as ideal areas for the wild tending of T. chinense, including 6 core hotspot cities, 6 sub-hotspot cities, and 5 fringe hotspot cities. These findings contribute to a comprehensive research framework for the cultivation planning of T. chinense and other medicinal plants.

Guidelines for application of high-content screening in traditional Chinese medicine: concept, equipment, and troubleshooting

High-content screening (HCS) technology combines automated high-speed imaging hardware and single-cell quantitative analysis. It can greatly accelerate data acquisition in cellular fluorescence imaging and is a powerful research technique in traditional Chinese medicine (TCM). An increasing number of laboratories and platforms, including TCM laboratories, have begun utilizing HCS systems. However, this technology is still in its infancy in TCM research and there is a lack of sufficient experience with the associated concepts, instrument configurations, and analysis methods. To improve the understanding of HCS among researchers in the field of TCM, this paper summarizes the concept of HCS, software and hardware configuration, the overall research process, as well as common problems and related solutions of HCS in TCM research based on our team’s previous research experience, providing several research examples and an outlook on future perspectives, aiming to provide a technical guide for HCS in TCM research.

Hot words and overseas hotspots on traditional Chinese medicine in 2020

To analyze the hot words of traditional Chinese medicine (TCM) research and the hotspots of overseas concern in 2020. With the core collection of Web of Science as the data source and 827 TCM-related concepts as the search terms, the research papers related to TCM were obtained through subject search, the authors’ keywords were extracted for frequency statistics, and the top 100 hot words in the field of TCM were obtained. The top 10 overseas hotspots are obtained through cluster analysis. Some suggestions are provided for the hot research areas in the field of TCM.

A Brief Discussion on the Construction of Practical Teaching System for the Traditional Chinese Medicine Resources and Development Major

China’s traditional medicine, science, and technology industry has great development potential. However, thereis a problem of insufficient practitioners in the current industrial development. At the same time, the capabilities of existing practitioners do not match the demand standards. Therefore, it is necessary to actively promote the education of resources and development in Central Asia. As an institution for cultivating talents, colleges and universities must establish a practical teaching system for cultivating talents. Based on the requirements put forward by China in education, this article studies the development status of the traditional Chinese medicine resources and development major, determines the talent training goals, starts from the practical teaching aspect, and locates the industry’s requirements for the capabilities of personnel in the fieldof traditional Chinese medicine. It also puts forward the overall idea of the construction of the practical teaching system, summarizes the reform content of the practical teaching system, and lastly provides the specific path of the reform.

Classification method of traditional Chinese medicine compound decoction duration based on multi-dimensional feature weighted fusion

This paper extends a text classification method utilizing natural language processing (NLP) into the field of traditional Chinese medicine (TCM) compound decoction to effectively and scientifically extend the TCM compound decoction duration. Specifically, a TCM compound decoction duration classification named TCM-TextCNN is proposed to fuse multi-dimensional herb features and improve TextCNN. Indeed, first, we utilize word vector technology to construct feature vectors of herb names and medicinal parts, aiming to describe the herb characteristics comprehensively. Second, considering the impact of different herb features on the decoction duration, we use an improved Term Frequency-Inverse Word Frequency (TF-IWF) algorithm to weigh the feature vectors of herb names and medicinal parts. These weighted feature vectors are then concatenated to obtain a multi-dimensional herb feature vector, allowing for a more comprehensive representation. Finally, the feature vector is input into the improved TextCNN, which uses k-max pooling to reduce information loss rather than max pooling. Three fully connected layers are added to generate higher-level feature representations, followed by softmax to obtain the final results. Experimental results on a dataset of TCM compound decoction duration demonstrate that TCM-TextCNN improves accuracy, recall, and F1 score by 5.31%, 5.63%, and 5.22%, respectively, compared to methods solely rely on herb name features, thereby confirming our method’s effectiveness in classifying TCM compound decoction duration.

The modern scientific mystery of traditional Chinese medicine processing——take some common traditional Chinese medicine as examples

The processing of traditional Chinese medicine (TCM) is a unique traditional pharmaceutical technology in China, which is the most important feature that distinguishes Chinese medicine from natural medicine and plant medicine. Since the record in Huangdi Neijing (Inner Canon of the Yellow Emperor), till now, the processing of TCM has experienced more than 2000 years of inheritance, innovation, and development, which is a combination of TCM theory and clinical practice, and plays an extremely important position in the field of TCM. In recent years, as a clinical prescription of TCM, Chinese herbal pieces have played a significant role in the prevention and control of the COVID-19 and exhibited their unique value, and therefore they have become the highlight of China's clinical treatment protocol and provided Chinese experience and wisdom for the international community in the prevention and control of the COVID-19 epidemic. This paper outlines the research progress in the processing of representative TCM in recent years, reviews the mechanism of the related effects of TCM materials after processing, such as changing the drug efficacy and reducing the toxicity, puts forward the integration and application of a variety of new technologies and methods, so as to reveal the modern scientific mystery of the processing technology of TCM.

Methods for the development of clinical practice guidelines for traditional Chinese medicine

The clinical practice guidelines (CPGs) are statements that include recommendations intended to optimize patient care that are informed by a systematic review of evidence and an assessment of the benefits and harms of alternative care options. Currently, CPGs have been developed in the field of traditional Chinese medicine (TCM) for years; however, the method of the CPG formulation process is not standardized, which has caused problems in the quality of CPGs for TCM. To promote the development and improve the status of CPGs for TCM, we used the different processes for the development of CPGs in the world for references, combined with the characteristics of TCM research, and formulated the standardized process of CPGs for TCM to provide a reference for the developers of CPGs for TCM.

Academic characteristics of contemporary famous traditional Chinese medicine experts and schools in treatment of chronic renal failure based on SrTO

According to the systematic review of text and opinion(SrTO) developed by the Joanna Briggs Institute(JBI), this study integrated the evidence of the medical cases, papers, medical experience, and other related research of famous experts and schools on the treatment of chronic renal failure in the field of traditional Chinese medicine(TCM) nephropathy, analyzed the academic characteristics and influencing factors from the aspects of the principle, method, recipe, and medicines, and explored the internal logic and law of inheritance and innovation in TCM nephropathy. A total of 36 famous TCM experts and 4 schools were included. The work areas are concentrated in North and South China. 94.0% of the famous TCM experts have experienced master-disciple teaching. 27.8% have studied TCM through family succession. 38.9% have been taught by multiple famous teachers. And 5.6% have not experienced master-disciple teaching. In terms of principle, method, recipe, and medicines, many innovations have been made, with 30.6% of famous TCM experts proposing new theories, 11.1% advocating staged treatment of chronic renal failure, and 47.2% summarizing the treatment methods. The formation of the academic thoughts of contemporary famous TCM experts and schools on the treatment of chronic renal failure is closely related to the learning mode, era, and work area. Contemporary famous TCM experts and schools have the academic characteristics of combining classical and clinical theories and paying more attention to TCM with western medicine supplemented. The field of TCM nephropathy has the characteristics of simultaneous inheritance and innovation. On the basis of inheriting the classical theories of TCM, it absorbs modern medical theories, combines clinical diagnosis with the syndrome and treatment law of contemporary diseases, and makes innovations in principle, method, recipe, and medicines, which has significant clinical efficacy in the treatment of chronic renal failure.

A review of novel research technology to explore the mystery of traditional Chinese medicine: Terahertz.

During the 2022 Annual National Terahertz Biophysics Conference, the hypothesis was proposed that bio frequency electromagnetic fields sensitive points, akin to acupuncture points, exist in the human body. This development has prompted numerous researchers to apply terahertz technology to the field of traditional Chinese medicine (TCM). In recent years, terahertz technology has achieved notable progress in the field of TCM, particularly concerning the meridian-collateral system. This review systematically presents the advancements in terahertz technology and its implications on TCM theory from a biophysical perspective. Additionally, it summarizes the utilization of terahertz waves in elucidating aspects of TCM, particularly focusing on the scientific connotation of Qi, the theoretical foundation of the meridian-collateral system, and moxibustion in diagnosing and treating diseases. We aimed to explore the innovative applications and distinct advantages of terahertz technology in TCM and its feasibility as a pioneering technological tool for the modernization of TCM.

Blinding assessment in clinical trials of traditional Chinese medicine: Exploratory principles and protocol

As one of the key components of clinical trials, blinding, if successfully implemented, can help to mitigate the risks of implementation bias and measurement bias, consequently improving the validity and reliability of the trial results. However, successful blinding in clinical trials of traditional Chinese medicine (TCM) is hard to achieve, and the evaluation of blinding success through blinding assessment lacks established guidelines. Taking into account the challenges associated with blinding in the TCM field, here we present a framework for assessing blinding. Further, this study proposes a blinding assessment protocol for TCM clinical trials, building upon the framework and the existing methods. An assessment report checklist and an approach for evaluating the assessment results are presented based on the proposed protocol. It is anticipated that these improvements to blinding assessment will generate greater awareness among researchers, facilitate the standardization of blinding, and augment the blinding effectiveness. The use of this blinding assessment may further advance the quality and precision of TCM clinical trials and improve the accuracy of the trial results. The blinding assessment protocol will undergo continued optimization and refinement, drawing upon expert consensus and experience derived from clinical trials.Please cite this article as: Wang XC, Liu XY, Shi KL, Meng QG, Yu YF, Wang SY, Wang J, Qu C, Lei C, Yu XP. Blinding assessment in clinical trials of traditional Chinese medicine: Exploratory principles and protocol. J Integr Med. 2023; 21(6): 528–536.

Pressure stimulus study on acupuncture points with multi-channel multimode-fiber diffuse speckle contrast analysis (MMF-DSCA).

A multi-channel multimode-fiber deep tissue flowmetry system has been constructed based on diffuse speckle contrast analysis (DSCA) for simultaneous blood flow measurements at different locations on the human body. This system has been utilized in an acupuncture study within the field of traditional Chinese medicine (TCM), primarily focusing on acupuncture points along the large intestine meridian. Deep tissue blood flow was monitored at four different acupuncture points (LI1, LI5, LI10, and ST25) with a sampling rate of 60 Hz while applying pressure stimulus on LI4 (hegu or hapgok). Although the blood flow index (BFI) and blood volume (BV) did not exhibit significant changes after the pressure stimulus, an increase in the amplitude and complexity of low-frequency oscillations (LFOs) in microcirculation was observed.

A syndrome differentiation model of TCM based on multi-label deep forest using biomedical text mining.

Syndrome differentiation and treatment is the basic principle of traditional Chinese medicine (TCM) to recognize and treat diseases. Accurate syndrome differentiation can provide a reliable basis for treatment, therefore, establishing a scientific intelligent syndrome differentiation method is of great significance to the modernization of TCM. With the development of biomdical text mining technology, TCM has entered the era of intelligence that based on data, and model training increasingly relies on the large-scale labeled data. However, it is difficult to form a large standard data set in the field of TCM due to the low degree of standardization of TCM data collection and the privacy protection of patients' medical records. To solve the above problem, a multi-label deep forest model based on an improved multi-label ReliefF feature selection algorithm, ML-PRDF, is proposed to enhance the representativeness of features within the model, express the original information with fewer features, and achieve optimal classification accuracy, while alleviating the problem of high data processing cost of deep forest models and achieving effective TCM discriminative analysis under small samples. The results show that the proposed model finally outperforms other multi-label classification models in terms of multi-label evaluation criteria, and has higher accuracy in the TCM syndrome differentiation problem compared with the traditional multi-label deep forest, and the comparative study shows that the use of PCC-MLRF algorithm for feature selection can better select representative features.