The interpretation of human body in traditional Chinese medicine and its influence on the characteristics of TCM theory

Scientific epistemology beliefs and acceptance of Traditional Chinese Medicine: A multigroup analysis based on the UTAUT model in Southern China

Purpose

This study for the first time delves into the intricate relationship between scientific literacy and the acceptance of traditional Chinese medicine (TCM) by employing a multigroup path analysis based on the Unified Theory of Acceptance and Use of Technology (UTAUT) model. We adopted Scientific Epistemology Belief (SEB) as an indicator for measuring scientific literacy due to its comprehensive reflection of individuals' understanding of scientific knowledge and knowing. In assessing TCM acceptance, we focused on Chinese parents' receptivity towards pediatric TCM, as it offers a more genuine representation of actual inclinations.

Methods

A convenience sample of 1016 Chinese parents in Southern China was assessed using online Likert-scale questionnaires on SEB and UTAUT determinants (including performance expectancy, social influence, risk awareness, and facilitating conditions). A K-means cluster analysis was employed to discern distinct SEB profiles, followed by a multigroup path analysis to ascertain UTAUT model variations across these profiles.

Results

Five SEB profiles were identified, namely, intermediate, absolutistic, multiplistic, sophisticated, and evidence-based. Evidence-based believers manifested the highest pediatric TCM acceptance, albeit with elements of blind faith, while multiplistic skeptics, prone to questioning everything, displayed the least acceptance. The absolutistic, intermediate, and sophisticated demonstrated moderate TCM acceptance levels, with the intermediate profile outscoring both absolutistic and sophisticated. These findings highlight that individuals with high scientific literacy do not blindly endorse TCM, nor do those with limited scientific understanding fully appreciate TCM's merits.

Conclusion

SEB significantly moderates TCM acceptance factors in the UTAUT model, indicating that extremes in scientific knowledge spectrum result in less balanced TCM perspectives. Our findings pave the way for novel insights into harmonizing modern and traditional medical practices.

The development and dissemination of intelligent storage management software of Chinese excellent traditional culture based on blockchain in the era of financial media

With the advent of the era of media convergence, the storage management and inheritance of excellent traditional Chinese culture will usher in new opportunities, creating new opportunities for tapping the contemporary value of traditional culture. This work aims to explore the current protection and innovation of excellent traditional Chinese culture. It takes the digital storage and communication of intangible cultural heritage as an example to summarize the status quo of its storage management and communication, leading to the necessity of intelligent storage of excellent traditional culture. Meanwhile, in terms of intelligent storage management and communication, the application innovation of media convergence combined with blockchain technology has entered the public's vision. To better realize the intelligent storage and communication of excellent traditional Chinese culture, this work mainly studies how to operate the clever integration mechanism of media convergence and blockchain technology and summarizes the advantages of the two. The software development and design of the traditional culture storage system platform are carried out, and the platform's structural characteristics and development process are clarified. Finally, the mechanism is applied to the intelligent storage management and communication of traditional culture to test the time consumption of its network storage and information query. The results show that the test network has a good overall performance, short time consumption and stable operation when the storage network access is not blocked. This work can provide a more diversified information storage management and communication scheme, and provide a theoretical and practical basis for the intelligent storage management and communication of excellent traditional Chinese culture.

Analysis of Traditional Chinese Medicine Symptoms in Children with Spastic Cerebral Palsy: A Data Mining Study

Background

Cerebral palsy (CP) ranks as a major cause of motor disabilities in children, with spastic CP making up roughly 70-80% of all CP cases. The primary objective of our study is to identify characteristics of Traditional Chinese Medicine(TCM) symptom of spastic CP, thereby establishing correlations between the TCM symptom and the disease, providing a more scientific theoretical foundation for TCM treatments on spastic CP, enabling a deeper comprehension of clinical interventions, ultimately, improving rehabilitation outcomes in TCM treatment for spastic CP.

Methods

We conducted a data mining study on TCM symptom of spastic CP children aged 4-14 years old treated at Xi'an Encephalopathy Hospital Affiliated to Shaanxi University of Chinese Medicine, from October 2021 to March 2023. The medical records of all eligible and complete spastic CP patients were extracted, processed for data cleansing, transformed, and subsequently analyzed to discern distinctive TCM symptom. K-Means Clustering Analysis and Association Rule Analysis were used for data mining.

Results

Core symptoms identified for spastic CP encompassed "Motor Dysfunction", "Impaired Speech", "Delayed Development", "Limb Stiffness", "Rigidity in the limbs", "Intellectual Impairment", "Timidity and susceptibility to startle responses", "Muscle Wasting", and "Pale or Dull Complexion". Among the top-ranking associations of symptom, patterns emerge wherein "Motor dysfunction" intertwine with "Impaired speech", "Motor dysfunction" coexist with "Delayed development", and "Impaired speech" are accompanied by "Delayed development".

Conclusion

This study identified the core symptom of spastic CP and tentatively suggests that the clinical manifestations of spastic CP are essentially consistent with the TCM pattern "liver exuberance and spleen weakness". This finding has facilitated the preliminary establishment of correlations between TCM pattern differentiation and the disease in medicine. It is anticipated that this correlation will bring tangible benefits to a larger number of children with spastic CP.

Integrated UPLC/Q-TOF-MS/MS Analysis and Network Pharmacology to Reveal the Neuroprotective Mechanisms and Potential Pharmacological Ingredients of Aurantii Fructus Immaturus and Aurantii Fructus

Aurantii Fructus (AF) and Aurantii Fructus Immaturus (AFI) have been used for thousands of years as traditional Chinese medicine (TCM) with sedative effects. Modern studies have shown that Citrus plants also have protective effects on the nervous system. However, the effective substances and mechanisms of action in Citrus TCMs still remain unclear. In order to explore the pharmacodynamic profiles of identified substances and the action mechanism of these herbs, a comprehensive approach combining ultra-high-performance liquid chromatography with quadrupole time-of-flight mass spectrometry (UPLC/Q-TOF-MS/MS) analysis and network pharmacology was employed. Firstly, UNIFI 2.1.1 software was used to identify the chemical characteristics of AF and AFI. Secondly, the SwissTargetPrediction database was used to predict the targets of chemical components in AF and AFI. Targets for neuroprotection were also collected from GeneCards: The Human Gene Database (GeneCards-Human Genes|Gene Database|Gene Search). The networks between targets and compounds or diseases were then constructed using Cytoscape 3.9.1. Finally, the Annotation, Visualization and Integrated Discovery Database (DAVID) (DAVID Functional Annotation Bioinformatics Microarray Analysis) was used for GO and pathway enrichment analysis. The results showed that 50 of 188 compounds in AF and AFI may have neuroprotective biological activities. These activities are associated with the regulatory effects of related components on 146 important signaling pathways, derived from the KEGG (KEGG: Kyoto Encyclopedia of Genes and Genomes), such as neurodegeneration (hsa05022), the Alzheimer's disease pathway (hsa05010), the NF-kappa B signaling pathway (hsa04064), the hypoxia-inducible factor (HIF)-1 signaling pathway (hsa04066), apoptosis (hsa04210), the epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor resistance signaling pathway (hsa01521), and others, by targeting 108 proteins, including xanthine dehydrogenase (XDH), glutamate ionotropic receptor NMDA type subunit 2B (GRIN2B), and glucose-6-phosphate dehydrogenase (G6PD), among others. These targets are thought to be related to inflammation, neural function and cell growth.

The Potential Mechanism of Liujunzi Decoction in the Treatment of Breast Cancer based on Network Pharmacology and Molecular Docking Technology

BACKGROUND

Liujunzi Decoction (LJZD) is a potential clinical treatment for Breast Cancer (BC), but the active ingredients and mechanisms underlying its effectiveness remain unclear.

OBJECTIVE

The study aimed to investigate the target gene of LJZD compatibility and the possible mechanism of action in the treatment of breast cancer by using network pharmacology and molecular docking.

METHODS

Based on TCMSP, ETCM, and BATMAN database searching and screening to obtain the ingredients of LJZD, the related targets were obtained. Breast cancer-related targets were collected through GEO, Geencards, OMIM, and other databases, and drug-disease Venn diagrams were drawn by R. The PPI network map was constructed by using Cytoscape. The intersecting targets were imported into the STRING database, and the core targets were analyzed and screened. The intersected targets were analyzed by the DAVID database for GO and KEGG enrichment. AutoDock Vina and Gromacs were used for molecular docking and simulation of the core targets and active ingredients.

RESULTS

126 active ingredients of LJZD were obtained; 241 targets related to breast cancer were sought after screening, and 180 intersection targets were identified through Venn diagram analysis. The core targets were FOS and ESR1. KEGG enrichment analysis mainly involved PI3K/Akt, MAPK, and other signaling pathways.

CONCLUSION

This study has explored the possible targets and signaling pathways of LJZD in treating breast cancer through network pharmacology and bioinformatics analysis. Molecular docking and simulation have further validated the potential mechanism of action of LJZD in breast cancer treatment, providing essential experimental data for future studies.

Data-mining-based of ancient traditional Chinese medicine records from 475 BC to 1949 to potentially treat COVID-19

Traditional Chinese Medicine (TCM) plays a role in preventing and treating COVID-19 in China. Based on the manifestations and symptoms of COVID-19, our study used the data mining method to summarize related therapeutic experience left by predecessors who used TCM to treat epidemics in their eras. Initially, we collected abundant medical records with similar manifestations of COVID-19 in Chinese ancient times. The key words including wen (), yi (), li (), and zhang () were searched in ZhongyiZhiku (https://www.zk120.com/) from Warring States Period (475 BC-221 BC) to the Republic of China era (1912-1949) to locate ancient medical records according to inclusion criteria and exclusion criteria. Moreover, COVID-19-related manifestations and corresponding medications in those records were categorized. Eventually, Traditional Chinese Medicine Inheritance Support System version 2.5 was used to build a medical record database of TCM treating COVID-19. Our study collected 263 epidemic medical records comprising COVID-19 related manifestations and found that Chinese Materia Medica (CMM) combinations excavated from ancient medical records included Ren Shen Bai Du San, Wu Ling San, Xiao Chai Hu Tang, Da Cheng Qi Tang, Da Chai Hu Tang, Ling Gui Zhu Gan Tang, and Qing Wen Bai Du Yin. The recurrent CMMs with a high frequency for treating COVID-19 manifestations were Scutellariae Radix (Huang Qin), Paeoniae Alba Radix (Bai Shao), Poria (Fu Ling), and Bupleuri Radix (Chai Hu). Our study suggests that TCM might offer new therapeutic strategies for COVID-19.

Harnessing the power of traditional Chinese medicine monomers and compound prescriptions to boost cancer immunotherapy

At present, cancer is the largest culprit that endangers human health. The current treatment options for cancer mainly include surgical resection, adjuvant radiotherapy and chemotherapy, but their therapeutic effects and long-term prognosis are unsatisfactory. Immunotherapy is an emerging therapy that has completely transformed the therapeutic landscape of advanced cancers, and has tried to occupy a place in the neoadjuvant therapy of resectable tumors. However, not all patients respond to immunotherapy due to the immunological and molecular features of the tumors. Traditional Chinese Medicine (TCM) provides a new perspective for cancer treatment and is considered to have the potential as promising anti-tumor drugs considering its immunoregulatory properties. This review concludes commonly used TCM monomers and compounds from the perspective of immune regulatory pathways, aiming to clearly introduce the basic mechanisms of TCM in boosting cancer immunotherapy and mechanisms of several common TCM. In addition, we also summarized closed and ongoing trials and presented prospects for future development. Due to the significant role of immunotherapy in the treatment of non-small cell lung cancer (NSCLC), TCM combined with immunotherapy should be emphasized in NSCLC.

Integrated Metabolomics and Network Pharmacology to Reveal the Mechanisms of Gandouling Tablets Against Copper-Overload-Induced Neuronal Injury in Rats with Wilson's Disease

Purpose

Gandouling Tablets (GDL), a proprietary Chinese medicine, have shown a preventive effect against Wilson's disease (WD)-induced neuronal damage in previous studies. However, the potential mechanisms need additional investigation. Combining metabonomics and network pharmacology revealed the GDL pathway against WD-induced neuronal damage.

Methods

The WD rat model with a high copper load was developed, and nerve damage was assessed. Total metabonomics was used to identify distinct hippocampus metabolites and enriched metabolic pathways in MetaboAnalyst. The GDL's possible targets against WD neuron damage were then determined by network pharmacology. Cytoscape constructed compound metabonomics and pharmacology networks. Moreover, molecular docking and Real-Time Quantitative Polymerase Chain Reaction (RT-qPCR) validated key targets.

Results

GDL reduced WD-induced neuronal injury. Twenty-nine GDL-induced metabolites may protect against WD neuron injury. According to network pharmacology, we identified three essential gene clusters, of which genes in cluster 2 had the most significant impact on the metabolic pathway. A comprehensive investigation identified six crucial targets, including UGT1A1, CYP3A4, CYP2E1, CYP1A2, PIK3CB, and LPL, and their associated core metabolites and processes. Four targets reacted strongly with GDL active components. GDL therapy improved five targets' expression.

Conclusion

This collaborative effort revealed the mechanisms of GDL against WD neuron damage and a way to investigate the potential pharmacological mechanisms of other Traditional Chinese Medicine (TCM).

Molecular mechanism of Hedyotis Diffusae Herba in the treatment of lupus nephritis based on network pharmacology

Aims: To determine the bioactive components of Hedyotis Diffusae Herba (HDH) and the targets in treating lupus nephritis (LN), and so as to elucidate the protective mechanism of HDH against LN. Methods and results: An aggregate of 147 drug targets and 162 LN targets were obtained from online databases, with 23 overlapped targets being determined as potential therapeutic targets of HDH against LN. Through centrality analysis, TNF, VEGFA and JUN were screened as core targets. And the bindings of TNF with stigmasterol, TNF with quercetin, and VEGFA with quercetin were further validated by molecular docking. By conducting Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) enrichment analyses for drug targets, disease targets and the shared targets, TNF signaling pathway, Toll-like receptor signaling pathway, NF-kappa B signaling pathway and HIF-1 signaling pathway, etc., were found in all these three lists, indicating the potential mechanism of HDH in the treatment of LN. Conclusion: HDH may ameliorate the renal injury in LN by targeting multi-targets and multi-pathways, including TNF signaling pathway, NF-kappa B signaling pathway, HIF-1 signaling pathway and so on, which provided novel insights into further researches of the drug discovery in LN.

West meets east: Taking a stab at acupuncture point names

Acupuncture point names written in Chinese Han characters often provide clinically useful information in both their literal and figurative meanings about location and therapeutic use. The World Health Organization (WHO) standard acupuncture nomenclature includes these names in Han characters in an unusual array that includes both "original" forms and, in parentheses, simplified forms. Construction of a multilingual table of acupuncture point names during development of a database revealed that the assumption that the "original" form in the WHO nomenclature was the traditional Chinese character was frequently false. The Han character forms in the pdf of the 2009 reprint of WHO Standard Acupuncture Point Locations were carefully compared with Han characters used in traditional and simplified Chinese, Japanese and Korean writing systems. This work utilized three online tools: UnicodePlus, Unihan Database Lookup, and Wiktionary. Only 48% of the "original" character forms were traditional Chinese characters. The Unicode number was correct in 99%, but in most cases the East Asian font used was not a traditional Chinese one. The issue about Han character forms was also found in all earlier versions of the WHO standard acupuncture nomenclature. Other detected problems included the use of wrong characters for an "original" character form in one name and for a simplified character form in another name. The WHO standard acupuncture nomenclature should be revised with a focus on accuracy in the usage of Han characters.

Quantitative evaluation of traditional Chinese medicine development policy: A PMC index model approach

Background

Traditional Chinese medicine development policies (TCMDPs) are essential in improving the sustainable development of TCM undertakings, of which transmissions of policy information are closely related to the actual policy effectiveness. However, the inherent components of TCMDPs had not been explored from the structural dimension of policy design.

Methods

Based on the policy modeling consistency (PMC) index model, we constructed a comprehensive evaluation system, including ten first-level and 40 second-level indicators, and focused on the TCMDPs released by the Chinese central government in the past 42 years (1980-2022) to conduct multi-dimensional inspections to TCMDPs by analyzing the overall policy quality, individual scoring performance, and indicators distribution characteristics.

Results

This study pointed out that four policies were rated as "perfect," 35 were rated as "superb," 50 were rated as "excellent," 28 were rated as "good," and four were rated as "acceptable," with total mean values of the PMC index being 7.530 ± 0.835. Although most TCMDPs had appropriate policy structure and consistency, the potential weaknesses in the design of TCMDPs also needed our attention through careful checks on the outlier policy samples. Besides, the existing TCMDPs had room for improvement regarding policy areas, guarantees and incentives, objects included, and issuing agencies.

Conclusions

We emphasized that the policy evaluation method used in this current study, the PMC index model, is scarce in the TCMDPs. These findings are helpful for fully understanding the strengths and weaknesses of TCMDPs and provide theoretical references for further studies optimizing TCMDPs.

Recent advances on the regulation of bacterial biofilm formation by herbal medicines

Biofilm formation is a fundamental part of life cycles of bacteria which affects various aspects of bacterial-host interactions including the development of drug resistance and chronic infections. In clinical settings, biofilm-related infections are becoming increasingly difficult to treat due to tolerance to antibiotics. Bacterial biofilm formation is regulated by different external and internal factors, among which quorum sensing (QS) signals and nucleotide-based second messengers play important roles. In recent years, different kinds of anti-biofilm agents have been discovered, among which are the Chinese herbal medicines (CHMs). CHMs or traditional Chinese medicines have long been utilized to combat various diseases around the world and many of them have the ability to inhibit, impair or decrease bacterial biofilm formation either through regulation of bacterial QS system or nucleotide-based second messengers. In this review, we describe the research progresses of different chemical classes of CHMs on the regulation of bacterial biofilm formation. Though the molecular mechanisms on the regulation of bacterial biofilm formation by CHMs have not been fully understood and there are still a lot of work that need to be performed, these studies contribute to the development of effective biofilm inhibitors and will provide a novel treatment strategy to control biofilm-related infections.

Exploring the Protective Effects and Mechanism of Huaji Jianpi Decoction against Nonalcoholic Fatty Liver Disease by Network Pharmacology and Experimental Validation

This paper was designed to predict the mechanisms of the active components of Huaji Jianpi Decoction (HJJPD) against nonalcoholic fatty liver disease (NAFLD) based on network pharmacology-combined animal experiments. The candidate compounds of HJJPD and its relative targets were obtained from TCMSP and PharmMapper web server, and the intersection genes for NAFLD were discerned using OMIM, GeneCards, and DisGeNET. Then, the target protein-protein interaction (PPI) and component-target-pathway networks were constructed. Moreover, gene function annotation (GO) enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were performed to study the potential signaling pathways associated with HJJPD’s effect on NAFLD. Molecular docking simulation was preformed to validate the binding affinity between potential core components and key targets. Eventually, the candidate targets, the possible pathway, and the mechanism of HJJPD were predicted by the network pharmacology-based strategy, followed by experimental validation in the NAFLD mice model treated with HJJPD. A total of 55 candidate compounds and 36 corresponding genes were identified from HJJPD that are associated with activity against NAFLD, and then the network of them was constructed. Inflammatory response and lipid metabolism-related signaling pathways were identified as the critical signaling pathways mediating the therapeutic effect of the active bioactive ingredients on NAFLD. Compared with the model group, the liver wet weight, liver/body ratio, the levels of total cholesterol (TC), triglyceride (TG), aspartate aminotransferase (AST), alanine aminotransferase (ALT), and high-density lipoprotein (HDL) in serum in the HJJPD low-dose (17.52 g/kg·d), medium-dose (35.04 g/kg·d), and high-dose (70.07 g/kg·d) groups significantly decreased ( $P<0.05$ ). Light microscope observation shows that HJJPD could control the degree of lipid denaturation of the mouse liver tissue to a great extent. RT-qPCR results show that the mRNA expression levels of peroxisome proliferative activated receptor gamma (PPARG), tumor necrosis factor-α (TNF-α), antiserine/threonine protein kinase 1 (AKT1), and prostaglandin-endoperoxide synthase (PTGS2) in the liver tissues of the three HJJPD groups (17.52 g/kg·d, 35.04 g/kg·d, and 70.07 g/kg·d) were significantly lower than those in the model group ( $P<0.05$ ). HJJPD can exert its effect by inhibiting hepatic steatosis and related mRNA expression and decreasing the levels of other liver-related indexes. This study suggested that HJJPD exerted its effect on NAFLD by modulating multitargets with multicompounds through multipathways. It also demonstrated that the network pharmacology-based approach might provide insights for understanding the interrelationship between complex diseases and interventions of HJJPD.

Case report: Significant relief of linezolid-induced peripheral neuropathy in a pre-XDR-TB case after acupuncture treatment

The revised WHO guidelines on multidrug- or rifampicin-resistant tuberculosis (MDR/RR-TB) include linezolid in the core drug group. Common adverse events of prolonged linezolid use are bone marrow suppression and peripheral neuropathy (PN). Available measures against linezolid-induced PN (LIPN) often have insignificant effects, leading to linezolid discontinuation and a decline in the success rate of MDR/RR-TB treatment. Acupuncture treatment is a symptomatic treatment measure from traditional Chinese medicine (TCM) to relieve pain with overall very low evidence and has never been reported in LIPN. The pilot use of acupuncture in a pre-extensively drug-resistant (XDR)-TB (a more severe form of MDR/RR-TB) patient exhibited significant improvements in LIPN and thus maintained linezolid in the regimen for a longer period.

Exploration and Analysis of Educational History from the Perspective of Educational Environmental History and Environmental History

The emergence of environmental historiography, for the first time, organically combined the history of the environment and human history and began to pay attention to the close relationship between human social changes and environmental changes. This paper explores the impact of environmental history on education from the perspective of environmental history. This paper explores and analyzes the history of the educational environment from the perspective of environmental history and studies the laws and characteristics behind the evolution of the relationship between education and environment. This paper analyzes the influence of environmental history on the three views of college students under environmental education. Further analysis of educational environmental history is improved to improve the three views of college students and promote the social development of research significance. The study of educational environmental history is of great significance to enlarge the field of educational history research, enrich the content of educational history research, and perfect the discipline construction of educational history. At the same time, the environmental perspective and ecological consciousness of educational environmental history research are the embodiment and adherence of Marxist historical materialism and environmental view.

An introduction to traditional Chinese medicine, including acupuncture

As an independent medical system, the scientific value behind traditional Chinese medicine (TCM) is gaining appreciation because of growing evidence about mechanisms and efficacy. The aim of this special issue is to introduce this ancient medicine to readers through the compiled research papers focusing on TCM. The papers in this issue cover many research fields such as TCM theory, traditional Chinese prescription, syndrome biomarkers, and acupuncture. In particular for acupuncture, the focus on the history of acupuncture, the importance of precise acupoint positioning, the effect of Fu's subcutaneous needling among patients with shoulder pain, and the effect of electroacupuncture on senile plaque and insulin signaling pathway in the olfactory bulb of transgenic mice. By combining, the papers in this issue and TCM papers published elsewhere provide scientific evidence to improve understanding this ancient Oriental form of medicine.

Potential therapeutic effect and methods of traditional Chinese medicine on COVID-19-induced depression: A review

COVID‐19 (coronavirus) has spread all over the world with a high infection rate. Currently, there are no targeted therapeutic drugs for COVID‐19 as well as for stress induced by COVID‐19. The unpredictable events of COVID‐19 can trigger feelings of fear, worry, or unease in people, leading to stress‐related disorders such as depression and anxiety. It has been reported that individuals, including COVID‐19 patients, medical staff, and ordinary people, are under both physical and psychological pressure, and many of them have developed depression or anxiety during this pandemic. Traditional Chinese medicine (TCM) has been widely used in treating depression with relatively better safety and efficacy and may have an important role in treating stress‐related disorders induced by COVID‐19. In this review, we collected the common TCM treatment methods including Qigong, Acupuncture, Five Elements Musical Therapy, Five Elements Emotional Therapy, and Chinese herbal medicine from the databases of PubMed and the China National Knowledge Internet to illustrate the effect of TCM on depression. The better knowledge of TCM and implementation of TCM in COVID‐19 clinics may help to effectively improve depression induced by COVID‐19, may assist people to maintain a healthy physical and mental quality, and may alleviate the current shortage of medical resources.