Quality of life and survival analyses of breast cancer cases treated with integrated traditional Chinese and Western medicine

BACKGROUND Breast cancer(BC)is the second leading cause of tumor-related mortality after lung cancer.Chemotherapy resistance remains a major challenge to progress in BC treatment,warranting further exploration of feasible and effective alternative therapies.AIM To analyzed the quality of life(QoL)and survival of patients with BC treated with integrated traditional Chinese and Western medicine(TCM-WM).METHODS This study included 226 patients with BC admitted to the First Affiliated Hospital of Guangxi University of Traditional Chinese Medicine between February 2018 and February 2023,including 100 who received conventional Western medicine treatment(control group)and 126 who received TCM-WM treatment(research group).The total effective rate,side effects(alopecia,nausea and vomiting,hepatorenal toxicity,and myelosuppression),QoL assessed using the European Organization for Research and Treatment of Cancer Core Quality of Life Questionnaire(EORTC QLQ-C30),1-year overall survival(OS),recurrence and metastasis rates,and serum inflammatory factors[interleukin(IL)-6,IL-10,and tumor necrosis factor alpha]were comparatively analyzed.RESULTS The research group showed statistically better overall efficacy,EORTC QoL-C30 scores,and 1-year OS than the control group,with markedly lower side effects and 1-year recurrence and metastasis rates.Moreover,the posttreatment levels of serum inflammatory in the research group were significantly lower than the baseline and those in the control group.CONCLUSION Overall,TCM-WM demonstrated significantly improved therapeutic efficacy while ensuring drug safety in BC,which not only improved patients’QoL and prolonged survival,but also significantly inhibited the inflammatory response.

Integrative analysis of bone-formation associated genes and immune cell infiltration in osteoporosis, and the prediction of active ingredients in targeted traditional Chinese medicine

Objective To explore the differential expression and mechanisms of bone formation-related genes in osteoporosis(OP)leveraging bioinformatics and machine learning methodologies;and to predict the active ingredients of targeted traditional Chinese medicine(TCM)herbs.Methods The Gene Expression Omnibus(GEO)and GeneCards databases were employed to conduct a comprehensive screening of genes and disease-associated loci pertinent to the pathogenesis of OP.The R package was utilized as the analytical tool for the identification of differentially expressed genes.Least absolute shrinkage and selection operator(LASSO)logis-tic regression analysis and support vector machine-recursive feature elimination(SVM-RFE)algorithm were employed in defining the genetic signature specific to OP.Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment analyses for the selected pivotal genes were conducted.The cell-type identification by estimating rela-tive subsets of RNA transcripts(CIBERSORT)algorithm was leveraged to examine the infiltra-tion patterns of immune cells;with Spearman’s rank correlation analysis utilized to assess the relationship between the expression levels of the genes and the presence of immune cells.Coremine Medical Database was used to screen out potential TCM herbs for the treatment of OP.Comparative Toxicogenomics Database(CTD)was employed for forecasting the TCM ac-tive ingredients targeting the key genes.AutoDock Vina 1.2.2 and GROMACS 2020 softwares were employed to conclude analysis results;facilitating the exploration of binding affinity and conformational dynamics between the TCM active ingredients and their biological targets.Results Ten genes were identified by intersecting the results from the GEO and GeneCards databases.Through the application of LASSO regression and SVM-RFE algorithm;four piv-otal genes were selected:coat protein(CP);kallikrein 3(KLK3);polymeraseγ(POLG);and transient receptor potential vanilloid 4(TRPV4).GO and KEGG pathway enrichment analy-ses revealed that these trait genes were predominantly engaged in the regulation of defense response activation;maintenance of cellular metal ion balance;and the production of chemokine ligand 5.These genes were notably associated with signaling pathways such as ferroptosis;porphyrin metabolism;and base excision repair.Immune infiltration analysis showed that key genes were highly correlated with immune cells.Macrophage M0;M1;M2;and resting dendritic cell were significantly different between groups;and there were signifi-cant differences between different groups(P<0.05).The interaction counts of resveratrol;curcumin;and quercetin with KLK3 were 7;3;and 2;respectively.It shows that the interac-tions of resveratrol;curcumin;and quercetin with KLK3 were substantial.Molecular docking and molecular dynamics simulations further confirmed the robust binding affinity of these bioactive compounds to the target genes.Conclusion Pivotal genes including CP;KLK3;POLG;and TRPV4;exhibited commendable significant prognostic value;and played a crucial role in the diagnostic assessment of OP.Resveratrol;curcumin;and quercetin;natural compounds found in TCM;showed promise in their potential to effectively modulate the bone-forming gene KLK3.This study provides a sci-entific basis for the interpretation of the pathogenesis of OP and the development of clinical drugs.

Constitution identification model in traditional Chinese medicine based on multiple features

Objective To construct a precise model for identifying traditional Chinese medicine(TCM)constitutions;thereby offering optimized guidance for clinical diagnosis and treatment plan-ning;and ultimately enhancing medical efficiency and treatment outcomes.Methods First;TCM full-body inspection data acquisition equipment was employed to col-lect full-body standing images of healthy people;from which the constitutions were labelled and defined in accordance with the Constitution in Chinese Medicine Questionnaire(CCMQ);and a dataset encompassing labelled constitutions was constructed.Second;heat-suppres-sion valve(HSV)color space and improved local binary patterns(LBP)algorithm were lever-aged for the extraction of features such as facial complexion and body shape.In addition;a dual-branch deep network was employed to collect deep features from the full-body standing images.Last;the random forest(RF)algorithm was utilized to learn the extracted multifea-tures;which were subsequently employed to establish a TCM constitution identification mod-el.Accuracy;precision;and F1 score were the three measures selected to assess the perfor-mance of the model.Results It was found that the accuracy;precision;and F1 score of the proposed model based on multifeatures for identifying TCM constitutions were 0.842;0.868;and 0.790;respectively.In comparison with the identification models that encompass a single feature;either a single facial complexion feature;a body shape feature;or deep features;the accuracy of the model that incorporating all the aforementioned features was elevated by 0.105;0.105;and 0.079;the precision increased by 0.164;0.164;and 0.211;and the F1 score rose by 0.071;0.071;and 0.084;respectively.Conclusion The research findings affirmed the viability of the proposed model;which incor-porated multifeatures;including the facial complexion feature;the body shape feature;and the deep feature.In addition;by employing the proposed model;the objectification and intel-ligence of identifying constitutions in TCM practices could be optimized.

The enlightenment of artificial intelligence large-scale model on the research of intelligent eye diagnosis in traditional Chinese medicine

Eye diagnosis is a method for inspecting systemic diseases and syndromes by observing the eyes.With the development of intelligent diagnosis in traditional Chinese medicine(TCM);artificial intelligence(AI)can improve the accuracy and efficiency of eye diagnosis.However;the research on intelligent eye diagnosis still faces many challenges;including the lack of standardized and precisely labeled data;multi-modal information analysis;and artificial in-telligence models for syndrome differentiation.The widespread application of AI models in medicine provides new insights and opportunities for the research of eye diagnosis intelli-gence.This study elaborates on the three key technologies of AI models in the intelligent ap-plication of TCM eye diagnosis;and explores the implications for the research of eye diagno-sis intelligence.First;a database concerning eye diagnosis was established based on self-su-pervised learning so as to solve the issues related to the lack of standardized and precisely la-beled data.Next;the cross-modal understanding and generation of deep neural network models to address the problem of lacking multi-modal information analysis.Last;the build-ing of data-driven models for eye diagnosis to tackle the issue of the absence of syndrome dif-ferentiation models.In summary;research on intelligent eye diagnosis has great potential to be applied the surge of AI model applications.

An interpretability model for syndrome differentiation of HBV-ACLF in traditional Chinese medicine using small-sample imbalanced data

Objective Clinical medical record data associated with hepatitis B-related acute-on-chronic liver failure(HBV-ACLF)generally have small sample sizes and a class imbalance.However,most machine learning models are designed based on balanced data and lack interpretability.This study aimed to propose a traditional Chinese medicine(TCM)diagnostic model for HBV-ACLF based on the TCM syndrome differentiation and treatment theory,which is clinically interpretable and highly accurate.Methods We collected medical records from 261 patients diagnosed with HBV-ACLF,including three syndromes:Yang jaundice(214 cases),Yang-Yin jaundice(41 cases),and Yin jaundice(6 cases).To avoid overfitting of the machine learning model,we excluded the cases of Yin jaundice.After data standardization and cleaning,we obtained 255 relevant medical records of Yang jaundice and Yang-Yin jaundice.To address the class imbalance issue,we employed the oversampling method and five machine learning methods,including logistic regression(LR),support vector machine(SVM),decision tree(DT),random forest(RF),and extreme gradient boosting(XGBoost)to construct the syndrome diagnosis models.This study used precision,F1 score,the area under the receiver operating characteristic(ROC)curve(AUC),and accuracy as model evaluation metrics.The model with the best classification performance was selected to extract the diagnostic rule,and its clinical significance was thoroughly analyzed.Furthermore,we proposed a novel multiple-round stable rule extraction(MRSRE)method to obtain a stable rule set of features that can exhibit the model’s clinical interpretability.Results The precision of the five machine learning models built using oversampled balanced data exceeded 0.90.Among these models,the accuracy of RF classification of syndrome types was 0.92,and the mean F1 scores of the two categories of Yang jaundice and Yang-Yin jaundice were 0.93 and 0.94,respectively.Additionally,the AUC was 0.98.The extraction rules of the RF syndrome differentiation model based on the MRSRE method revealed that the common features of Yang jaundice and Yang-Yin jaundice were wiry pulse,yellowing of the urine,skin,and eyes,normal tongue body,healthy sublingual vessel,nausea,oil loathing,and poor appetite.The main features of Yang jaundice were a red tongue body and thickened sublingual vessels,whereas those of Yang-Yin jaundice were a dark tongue body,pale white tongue body,white tongue coating,lack of strength,slippery pulse,light red tongue body,slimy tongue coating,and abdominal distension.This is aligned with the classifications made by TCM experts based on TCM syndrome differentiation and treatment theory.Conclusion Our model can be utilized for differentiating HBV-ACLF syndromes,which has the potential to be applied to generate other clinically interpretable models with high accuracy on clinical data characterized by small sample sizes and a class imbalance.

Enhancing ulcerative colitis treatment with traditional Chinese medicine

Inflammatory bowel disease,particularly ulcerative colitis(UC),poses significant treatment challenges due to its chronic nature and potential for severe complications.This editorial reviews a recent network meta-analysis that evaluated the efficacy of and highlighted the superior outcomes achieved by combining each of five traditional Chinese medicine(TCM)formulations with mesalazine for the adjuvant treatment of UC.Clinical outcomes included enhanced mucosal healing,improved quality of life,and reduced recurrence rates.Additionally,the combination therapy resulted in a lower incidence of adverse reactions compared with mesalazine monotherapy.Despite these promising results,limitations such as variability in study quality and TCM dosage highlight the need for further highquality,large-sample,multicenter randomized controlled trials.This editorial underscores the potential of TCM in enhancing UC management and calls for more rigorous research to substantiate these findings and refine clinical guidelines.

Exploring the Application Effect of Flipped Classroom Combined with Problem-Based Learning Teaching Method in Clinical Skills Teaching of Standardized Training for Resident Doctors of Traditional Chinese Medicine

Objective: To explore the application effect of flipped classroom combined with problem-based learning teaching method in clinical skills teaching of standardized training for resident doctors of traditional Chinese Medicine. Methods: The study used the experimental control method. The study lasted from September to November 2022. The subjects of this study were 49 students of standardized training for resident doctors of traditional Chinese Medicine from grades 2020, 2021 and 2022 of Dazhou integrated TCM & Western Medicine Hospital. They were randomly divided into experiment group (25) and control group (24). The experiment group adopted flipped classroom combined with problem-based learning teaching method, and the control group adopted traditional teaching method. The teaching content was 4 basic clinical skill projects, including four diagnoses of traditional Chinese Medicine, cardiopulmonary resuscitation, dressing change procedure, acupuncture and massage. The evaluation method was carried out by comparing the students’ performance and a self-designed questionnaire was used to investigate the students’ evaluation of the teaching method. Results: The test scores of total scores in the experimental group (90.12 ± 5.89) were all higher than those in the control group (81.47 ± 7.96) (t = 4.53, P P Conclusions: The teaching process of the flipped classroom combined with problem-based learning teaching method is conducive to improving the efficiency of classroom teaching, cultivating students’ self-learning ability, and enhancing students’ willingness to learn.

A holistic strategy for quality and safety control of traditional Chinese medicines by the “iVarious” standard system

An effective quality control system is the key to ensuring the quality, safety and efficacy of traditional Chinese medicines(TCMs). However, the current quality standard research lacks top-level design and systematic design,mostly based on specific technologies or evaluation methods. To resolve the challenges and questions of quality control of TCMs, a brand-new quality standard system, named "iVarious", was proposed. The system comprises eight elements in a modular format. Meaning of every element was specifically illustrated via corresponding research instances. Furthermore, frankincense study was taken as an example for demonstrating standards and research process, based on the "i Various" system. This system highlighted a holistic strategy for effectiveness,security, integrity and systematization of quality and safety control standards of TCMs. The establishment of"i Various" integrates multi-disciplinary technologies and progressive methods, basis elements and key points of standard construction. The system provides a novel idea and technological demonstration for regulation establishment of TCMs quality standards.

Nursing outcomes of traditional Chinese medicine adjunctive therapy on osteofascial compartment syndrome:a review

The rate of disability due to acute osteofascial compartment syndrome(OCS)is high,and the therapeutic effect of decompressive fasciotomy is not ideal.This paper retrospectively reviews the modern treatment of OCS,including Western medicine and Traditional Chinese medicine(TCM),mainly in the context of the advantages of TCM in the treatment process of decompressive fasciotomy or conservative treatment to the patients who are suffering from OCS.It was found that TCM treatment reduced the levels of serum creatine kinase(CK),lactate dehydrogenase(LDH),and aspartate aminotransferase(AST);it is beneficial to the elimination of swelling and pain.TCM adjunctive therapy promotes patients’postoperative functional recovery and decreases the occurrence of fasciotomy in patients;TCM can relieve tissue hypoxia of compartments and prevent necrosis of muscle and nerve tissue.TCM treatment improves the quality of medical service and ensures the safety of OCS patients.This paper aims to summarize the function of TCM in the treatment of OCS,provide reference for the clinical treatment of OCS,and improve the nursing/medical outcomes of OCS.

Investigation on the cognitive status and the infiltration path of Traditional Chinese Medicine among residents in Liaoning Province

To understand citizens’awareness,trust and attitude towards Tradition Chinese medicine(TCM),to seek the best penetration path of TCM products and culture,to analyze their influencing factors,and to provide suggestions and countermeasures,a non-probabilistic judgment sampling method was used to conduct a survey among 459 people online with the help of Questionnaire Star and 434 valid questionnaires were collected.The survey shows that residents have a high degree of recognition and identification of Chinese medicine;citizens are rational when choosing TCM products,and the recognition of the emerging TCM culture infiltration path is low.Different social and demographic factors affect citizens’awareness,trust and attitude towards TCM,as well as the choice of infiltration path(P<0.05).

Traditional Chinese Medicine and Standardization——Origin and development of TCM

Traditional Chinese Medicine (TCM) is the medical science based on theories and practicing experience of traditional Chinese medicine to study transferring principles of health and sickness,as well as prevention, diagnosis,treatment,rehabilitation and healthcare.TCM is marked with its long history of development,integrated theory system and abundant practicing experience.

The Making of a Health Profession:How Chinese Medicine Became a Nationally Registered Allied Health Profession in Australia

In 2012, traditional Chinese medicine(TCM) practitioners in Australia became nationally-registered allied health professionals in three categories: acupuncturist, Chinese herbal medicine practitioner, and Chinese herbal medicine dispenser. Australia was the first Western country to introduce national registration for Chinese medicine, followed by Portugal and, recently, New Zealand. The practice of TCM in Australia can be traced back to the beginning of Chinese immigration to Australia during the Victorian Gold Rush which began in the 1850s. The process which led to national registration commenced in the early 1970s with the establishment of the first acupuncture courses. Decades of gradual development of courses from unaccredited part-time diplomas to accredited bachelor degrees, and the development, by the profession, of national consensus on educational standards were essential elements in the process which led to registration. Professional associations, such as the Australian Acupuncture and Chinese Medicine Association Ltd.(AACMA), also developed a framework of professional selfregulation, including Codes of Ethics, Codes of Conduct, ongoing professional development requirements and Infection Control Guidelines, and provided leadership in the development of the profession. After decades of tribalism and division within the TCM profession, the National Academic Standards Committee brought almost all stakeholders together to reach a consensus on the Australian Guidelines for Traditional Chinese Medicine Education which were published by AACMA in 2001. Professional associations also collaborated on joint submissions to the government in support of registration, which was introduced first in the state of Victoria in 2000, and subsequently became national in 2012. Despite national registration, some barriers still remain, and professional associations continue to lobby the federal government for inclusion in Medicare, chronic disease management scheme, and Veterans Affairs.

Discussion on Ideological and Political Theories Teaching in Traditional Chinese Medicine Courses Based on National Standard for Teaching Quality

This paper analyzes the necessity and existing problems of ideological and political theories teaching in traditional Chinese medicine courses,and puts forward some suggestions,such as improving the ideological and political ability of professional teachers,perfecting the evaluation mechanism,and exploring ideological and political elements based on the characteristics of courses,so as to provide the basis for ideological and political theories teaching in traditional Chinese medicine courses under the National Standard for Teaching Quality.

Analysis of the Clinical Effect of Chinese Medicine Combined with Acupuncture and Moxibustion on Insomnia

Objective:To explore and analyze the clinical efficacy of Chinese medicine combined with acupuncture and moxibustion in the treatment of insomnia.Method:80 patients with primary insomnia were selected as the study sample,with 20 cases randomly selected as the control group and the rest as the observation group.The control group was treated with ordinary western medicine,while the observation group patients were treated with traditional Chinese medicine combined with acupuncture and moxibustion based on this syndrome differentiation.The comparison items were treatment effect,sleep quality,mental health,quality of life,specific sleep indicators,cerebral blood flow and neurotransmitters.Result:The treatment effectiveness showed that the observation group had a higher treatment effectiveness rate than the control group(P<0.05);The results of sleep quality showed that after treatment,the scores of the observation group were lower than those of the control group in seven dimensions:sleep quality,sleep time,sleep onset time,sleep efficiency,sleep disorders,hypnotic drugs,and daytime dysfunc‐tion score(P<0.05);The quality of life results showed that after treatment,the observa‐tion group had higher scores than the control group in eight dimensions:physiological function,physiological function,physical pain,health status,energy,social function,emotional function,and mental health(P<0.05);The results of slow wave sleep time and fast eye movement sleep time showed that after treatment,the HAMA and HAMD scores of the physiological mechanism in the observation group were lower than those in the control group(P<0.05);The results of cerebral blood flow and neurotransmitter indica‐tors show that after treatment,glutamateγ-The peak systolic blood flow velocity of ami‐nobutyric acid,vertebral artery,and basilar artery in the observation group was higher than that in the control group(P<0.05).Conclusion:The clinical treatment of Chinese medicine combined with acupuncture and moxibustion in the treatment of insomnia patients can significantly improve the clinical treatment effect,and improve the cerebral hemorrhage and neurotransmitter status of patients,promote the improvement of their physical and mental status,can more significantly improve the quality of sleep,reduce sleep difficulties,reduce the dosage of sleeping pills,which has important clinical application value.

Considerations on the Quality Standards Reflecting the Characteristics of Compound Preparations of Traditional Chinese Medicine

Objective To study the current quality standard of traditional Chinese medicine(TCM)and its limitations in China,and encourage enterprises to take more responsibility to promote the development of this industry.Methods Based on the analysis of the status quo and problems of the quality standard system of TCM,the quality control mode,as well as the problems found in the reevaluation after marketing,some suggestions were put forward for adjusting the current quality standard of TCM.Results and Conclusion Through strengthening the quality control of the source,and under the premise of ensuring the safety,effectiveness and stability of TCM,the quality standards of TCM can be improved greatly.

Quality Markers of Traditional Chinese Medicine:Concept,Progress,and Perspective

As the most important complementary medication against a variety of diseases,traditional Chinese medicines(TCMs)have been extensively applied over thousands of years.Current quality control of herbal medicines,however,is in great dispute.Unlike chemical drugs,which have clear and validated quality standards,the content of only one(or a few)compounds of many herbs and preparations is currently assessed as an indicator of quality,even though the assessed compound(s)is neither closely associated with the efficacy nor representative of the medicine as a whole.Based on the clinical use,compatibility of multiple component prescriptions,and manufacturing process of TCM,the new concept of a TCM quality marker that was proposed in previous work is discussed further here.In addition,practical technological approaches are described for the qualitative analysis and quantification of TCMs including herbs,processed products,and preparations,which lead to the discovery and identification of specific chemicals as quality markers and new quality control patterns.The progress that has been made in TCM quality control is also addressed.This work provides useful information for the quality control of herbal medicines in the future.

Deeper Chemical Perceptions for Better Traditional Chinese Medicine Standards

Traditional Chinese medicines (TCMs), a complex system of natural resources with many diverse components, are widely used as approved medicinal agents in China. Quality control of TCMs is a huge challenge for the government and for testing institutes and is associated with numerous scientific issues. Among these considerations include the following questions: How many components are in TCMs? How can the multiple components in TCMs be comprehensively delineated and subsequently characterized? What is the level and range of these (active) metabolites within these multiple-component TCMs, in order to recommend standards? and What are the qualities required for a marker constituent to be selected, and from a practical perspective, how can these components be assessed with low cost and in a short time? All of these factors require significant and deep thinking in order to understand the individualistic chemistry of TCM in order to develop enhanced TCM quality standards for improved and consistent patient care. In this review, the latest exploratory research in TCM chemistry analytical techniques and methods is summarized in order to begin to develop responses to these scientific issues. Advances in these methods have included multidimensional separation for liquid chromatography–high-resolution mass spectrometry (LC–HRMS), smart triggering data-dependent acquisition of LC–HRMS, target analysis with liquid chromatography–mass spectrometry (LC–MS), supercritical fluid chromatography, and data mining of large mass spectrometry (MS) datasets. In addition, two quality strategies have been introduced in order to save reference standards and the analysis time for a TCM quality standard, including the application of the single standard to determine multi-components (SSDMC) and monomethodheterotrait matrix methods. Finally, a series of future improvements for analytical methods for TCMs are proposed.

Development of chromatographic technologies for the quality control of Traditional Chinese Medicine in the Chinese Pharmacopoeia

As an important branch of medicine, Traditional Chinese Medicine(TCM) has been applied for the treatment of diseases for thousands of years in China and other countries in East Asia. The Chinese Pharmacopoeia(ChP) is a drug code formulated by the Chinese government, and it includes a special volume for the monographs of TCM, which plays an important role in ensuring the quality of drugs. The use of quality control technology has always been a complex and important factor in TCM. Owing to the chemical diversity of TCM, chromatography technology has been proven to be a comprehensive strategy for the assessment of the overall quality of TCM and has become the main analytical method in the ChP.This article provides an overview of the classical and modern chromatographic technologies applied in the ChP, and summarizes the advantages and disadvantages of each technique in the TCM monographs.In 2020, the new edition of the Ch P(the 2020 edition) has been implemented at the end of 2020. This paper also contains a brief introduction about the application of chromatographic technologies in the new edition of the ChP.

An ultra-robust fingerprinting method for quality assessment of traditional Chinese medicine using multiple reaction monitoring mass spectrometry

Chromatographic fingerprinting has been perceived as an essential tool for assessing quality and chemical equivalence of traditional Chinese medicine.However,this pattern-oriented approach still has some weak points in terms of chemical coverage and robustness.In this work,we proposed a multiple reaction monitoring(MRM)-based fingerprinting method in which approximately 100 constituents were simultaneously detected for quality assessment.The derivative MRM approach was employed to rapidly design MRM transitions independent of chemical standards,based on which the large-scale fingerprinting method was efficiently established.This approach was exemplified on QiShenYiQi Pill(QSYQ),a traditional Chinese medicine-derived drug product,and its robustness was systematically evaluated by four indices:clustering analysis by principal component analysis,similarity analysis by the congruence coefficient,the number of separated peaks,and the peak area proportion of separated peaks.Compared with conventional ultraviolet-based fingerprints,the MRM fingerprints provided not only better discriminatory capacity for the tested normal/abnormal QSYQ samples,but also higher robustness under different chromatographic conditions(i.e.,flow rate,apparent pH,column temperature,and column).The result also showed for such large-scale fingerprints including a large number of peaks,the angle cosine measure after min-max normalization was more suitable for setting a decision criterion than the unnormalized algorithm.This proof-of-concept application gives evidence that combining MRM technique with proper similarity analysis metrices can provide a highly sensitive,robust and comprehensive analytical approach for quality assessment of traditional Chinese medicine.

Multimodal integrated strategy for the discovery and identification of quality markers in traditional Chinese medicine

With the modernization and internationalization of traditional Chinese medicine(TCM),the requirement for quality control has increased.The quality marker(Q-marker)is an important standard in this field and has been implemented with remarkable success in recent years.However,the establishment of Qmarkers remains fragmented and the process lacks systematicity,resulting in inconsistent quality control and insufficient correlation with clinical efficacy and safety of TCM.This review introduces four multimodal integrated approaches that contribute to the discovery of more comprehensive and accurate Qmarkers,thus aiding in the establishment of new quality control patterns based on the characteristics and principles of TCM.These include the whole-process quality control strategy,chemical-activity-based screening method,efficacy,safety,and consistent combination strategy,and TCM theory-guided approach.Furthermore,methodologies and representative examples of these strategies are described,and important future directions and questions in this field are also proposed.