Diabetic neuropathic pain (DNP) is one of the most common and complex complications of diabetes. In recent years, studies have shown that gut microbiota can regulate inflammatory response, intestinal permeability, glucose metabolism, and fatty acid oxidation, synthesis, and energy consumption by regulating factors such as lipopolysaccharides, short chain fatty acids, bile acids, and branched chain amino acids, achieving the goal of treating DNP. This paper summarizes the relevant mechanisms of gut microbiota in the treatment of DNP, the relevant intervention measures of traditional Chinese and western medicine, in order to provide new ideas for clinical treatment of DNP.
As an interdisciplinary subject of medicine and artificial intelligence, intelligent diagnosis and treatment has received extensive attention in both academia and industry. Traditional Chinese medicine (TCM) is characterized by individual syndrome differentiation as well as personalized treatment with personality analysis, which makes the common law mining technology of big data and artificial intelligence appear distortion in TCM diagnosis and treatment study. This article put forward an intelligent diagnosis model of TCM, as well as its construction method. It could not only obtain personal diagnosis varying individually through active learning, but also integrate multiple machine learning models for training, so as to form a more accurate model of learning TCM. Firstly, we used big data extraction technique from different case sources to form a structured TCM database under a unified view. Then, taken a pediatric common disease pneumonia with dyspnea and cough as an example, the experimental analysis on large-scale data verified that the TCM intelligent diagnosis model based on active learning is more accurate than the pre-existing machine learning methods, which may provide a new effective machine learning model for studying TCM diagnosis and treatment.
Scientism and humanism are two main views on the development of medicine, which run through both theory and practice. Under the guidance of the modern medical concept of " bio-psycho-social”, the views of scientism and humanism on medicine have reached an unprecedented level of development and integration, which jointly determine the connotations and demands of current medicine. As one of the current mainstream medical models, evidence-based medicine (EBM) has played an important role in the management of current medical theories and practices. Meanwhile, EBM has also encompassed views of scientism and humanism in its own development and has successfully shaped the knowledge and methodological system. EBM will continue to gain insight into the characteristics of views of scientism and humanism in the future of medicine to improve itself and should pay more attention to the development of humanism view. As an important branch discipline of EBM, evidence-based Chinese medicine may become a model of the perfect combination of scientism view and humanism view.
This paper introduces the application and funding of evidence-based research projects on traditional Chinese medicine (TCM) of the National Natural Science Foundation of China (NSFC) in 2019 in terms of clinical research and methodology research, summarizes the primary problems existing in evidence-based research on TCM, discusses the quality of evidence-based research on TCM in clinical research, highlights the characteristics of TCM and reveals the evidence-based methodology on TCM.
ObjectiveTo assess the efficacy and safety of Tiao-She nursing of traditional Chinese medicine (TCM) for mild cognitive disorder (MCD), and to provide theoretical basis for developing evidence-based guideline of Tiao-She nursing of TCM. MethodsWe searched PubMed, Web of Science, The Cochrane Library, EMbase, MEDLINE, Springerlink, CBM, CNKI, VIP and WanFang Data for systematic reviews/meta-analyses (SRs/MAs), as well as randomized controlled trials (RCTs), up to December 2014. Two reviewers screened literature according to the inclusion and exclusion criteria and extracted data. Methodological quality and evidence quality of included SRs/MAs were assessed using AMSTAR scale and GRADE tool, respectively. Methodological quality of included RCTs was assessed using risk of bias assessment tool of the Cochrane Handbook 5.1.0. ResultsNine RCTs were identified, but no SRs/MAs was retrieved. Interventions for MCD included acupoint massage, moxibustion, auricular-plaster therapy, qigong, Tai chi, calligraphy, and food therapy of ginseng. All included RCTs showed that Tiao-She nursing of TCM was effective on cognitive ability and psychosocial function. ConclusionTiao-She nursing of TCM might be effective and safe, and the methods are variable. Due to the limitation of the quality of included RCTs, the efficacy and safety of Tiao-She nursing of TCM for MCD are still needed to be verified by high quality studies.
Objective To discuss the rules of using traditional Chinese medicine (TCM) to treat systemic lupus erythematosus (SLE) and Sjögren syndrome (SS). Methods The TCM prescriptions for patients with SLE or SS treated at the Department of Rheumatology of Longhua Hospital, Shanghai University of Traditional Chinese Medicine between January 2013 and July 2021 were collected. The prescriptions collected were broken down and analyzed for frequencies of the efficacies, properties, flavors and meridian tropisms of drugs in the prescriptions. The correlation and clustering analysis was performed in VOSviewer software. Results The medication information of 3689 cases of inpatients was included, from which 69167 pieces of data of using TCM prescriptions were extracted. The top 20 high-frequency drugs for treating SLE patients were mainly drugs for promoting blood circulation and removing blood stasis, qi-tonifying drugs, and drugs for heat clearing and detoxicating, which were mostly sweet, bitter or acrid in flavor, cold, warm or neutral in properties, and of the spleen, liver or stomach meridian. The drugs could be seperated into 3 clusters, the blue cluster mainly included qi-tonifying drugs, blood-tonifying drugs, and drugs for promoting blood circulation and removing blood stasis; the green cluster mainly included drugs for heat clearing and drugs for promoting blood circulation and removing blood stasis; and the red cluster mainly consisted of drugs for promoting blood circulation and removing blood stasis, drugs for inducing diuresis and alleviating edema, drugs for dispelling wind-heat, and digestant drugs. The top 20 high-frequency drugs for treating SS patients were mainly drugs for promoting blood circulation and removing blood stasis, qi-tonifying drugs, and drugs for inducing diuresis and alleviating edema, which were mostly sweet, bitter or acrid in flavor, slightly cold, cold or warm in properties, and of the spleen, stomach or liver meridian. The drugs could be seperated into 2 clusters, the green cluster mainly consisted of yin-tonifying drugs, drugs for promoting blood circulation and removing blood stasis, and drugs for heat clearing; the red cluster mainly included qi-tonifying drugs, drugs for promoting blood circulation and removing blood stasis, and drugs for inducing diuresis and alleviating edema. Conclusions The medication for SLE is in line with the treatment principle of “supplementing qi and nourishing yin, detoxicating and removing stasis”; the medication for SS, on the other hand, agrees with the basic rule of “nourishing yin and clearing away heat, promoting body fluid to moisten dryness”. Both are based on the approach of strengthening the body resistance, which is in line with the diagnostic and treatment ideas of rheumatology department and may offer the ideas of TCM syndrome differentiation for clinical use of drugs and thereby guiding the current clinical practice.
Precision medicine is a personalized medical system based on patients' individual biological information, clinical symptoms and signs, forming a new clinical research model and medical practice path. The basic idea of traditional Chinese medicine and the concept of precision medicine share many similarities. The basket trial developed for precision medicine is also suitable for clinical trials and evaluation of the efficacy of traditional Chinese medicine syndrome differentiation and treatment systems. Basket trials are used to evaluate the efficacy of a drug in the treatment of multiple diseases or disease subtypes. It has the advantages of sharing a master protocol, unifying management of subsidiary studies, simplifying the test implementation process, unifying statistical analysis, saving resources, reducing budgets and accelerating the drug evaluation progress. This is similar to the concept of using the "same treatment for different diseases" found in traditional Chinese medicine. This paper introduced the concept and method of basket trials and explored their application and advantages in clinical research into traditional Chinese medicine. This study is expected to provide references for the methodological innovation of clinical research into traditional Chinese medicine.
ObjectiveTo construct a prediction model of diabetics distal symmetric polyneuropathy (DSPN) based on neural network algorithm and the characteristic data of traditional Chinese medicine and Western medicine. MethodsFrom the inpatients with diabetes in the First Affiliated Hospital of Anhui University of Chinese Medicine from 2017 to 2022, 4 071 cases with complete data were selected. The early warning model of DSPN was established by using neural network, and 49 indicators including general epidemiological data, laboratory examination, signs and symptoms of traditional Chinese medicine were included to analyze the potential risk factors of DSPN, and the weight values of variable features were sorted. Validation was performed using ten-fold crossover, and the model was measured by accuracy, sensitivity, specificity, positive predictive value, negative predictive value, and AUC value. ResultsThe mean duration of diabetes in the DSPN group was about 4 years longer than that in the non-DSPN group (P<0.001). Compared with non-DSPN patients, DSPN patients had a significantly higher proportion of Chinese medicine symptoms and signs such as numbness of limb, limb pain, dizziness and palpitations, fatigue, thirst with desire to drink, dry mouth and throat, blurred vision, frequent urination, slow reaction, dull complexion, purple tongue, thready pulse and hesitant pulse (P<0.001). In this study, the DSPN neural network prediction model was established by integrating traditional Chinese and Western medicine feature data. The AUC of the model was 0.945 3, the accuracy was 87.68%, the sensitivity was 73.9%, the specificity was 92.7%, the positive predictive value was 78.7%, and the negative predictive value was 90.72%. ConclusionThe fusion of Chinese and Western medicine characteristic data has great clinical value for early diagnosis, and the established model has high accuracy and diagnostic efficacy, which can provide practical tools for DSPN screening and diagnosis in diabetic population.
The therapeutic efficacy of Danshen and Jiangxiang in the treatment of ischemic stroke (IS) is relatively significant. Studying the mechanism of action of Danshen and Jiangxiang in the treatment of IS can effectively identify candidate traditional Chinese medicines (TCM) with efficacy. However, it is challenging to analyze the effector substances and explain the mechanism of action of Danshen-Jiangxiang from a systematic perspective using traditional pharmacological approaches. In this study, a systematic study was conducted based on the drug-target-symptom-disease association network using complex network theory. On the basis of the association information about Danshen, Jiangxiang and IS, the protein-protein interaction (PPI) network and the “drug pair-pharmacodynamic ingredient-target-IS” network were constructed. The different topological features of the networks were analyzed to identify the core pharmacodynamic ingredients including formononetin in Jiangxiang, cryptotanshinone and tanshinone IIA in Danshen as well as core target proteins such as prostaglandin G/H synthase 2, retinoic acid receptor RXR-alpha, sodium channel protein type 5 subunit alpha, prostaglandin G/H synthase 1 and beta-2 adrenergic receptor. Further, a method for screening IS candidates based on TCM symptoms was proposed to identify key TCM symptoms and syndromes using the “drug pair-TCM symptom-syndrome-IS” network. The results showed that three TCMs, namely Puhuang, Sanleng and Zelan, might be potential therapeutic candidates for IS, which provided a theoretical reference for the development of drugs for the treatment of IS.
Objective To analyze the differences in distribution of traditional Chinese medicine (TCM) syndrome elements and salivary microbiota between the individuals with pulmonary nodules and those without, and to explore the potential correlation between the distribution of TCM syndrome elements and salivary microbiota in patients with pulmonary nodules. Methods We retrospectively recruited 173 patients with pulmonary nodules (PN) and 40 healthy controls (HC). The four diagnostic information was collected from all participants, and syndrome differentiation method was used to analyze the distribution of TCM syndrome elements in both groups. Saliva samples were obtained from the subjects for 16S rRNA high-throughput sequencing to obtain differential microbiota and to explore the correlation between TCM syndrome elements and salivary microbiota in the evolution of the pulmonary nodule disease. Results The study found that in the PN group, the primary TCM syndrome elements related to disease location were the lung and liver, and the primary TCM syndrome elements related to disease nature were yin deficiency and phlegm. In the HC group, the primary TCM syndrome elements related to disease location were the lung and spleen, and the primary TCM syndrome elements related to disease nature were dampness and qi deficiency. There were differences between the two groups in the distribution of TCM syndrome elements related to disease location (lung, liver, kidney, exterior, heart) and disease nature (yin deficiency, phlegm, qi stagnation, qi deficiency, dampness, blood deficiency, heat, blood stasis) (P<0.05). The species abundance of the salivary microbiota was higher in the PN group than that in the HC group (P<0.05), and there was significant difference in community composition between the two groups (P<0.05). Correlation analysis using multiple methods, including Mantel test network heatmap analysis and Spearman correlation analysis and so on, the results showed that in the PN group, Prevotella and Porphyromonas were positively correlated with disease location in the lung, and Porphyromonas and Granulicatella were positively correlated with disease nature in yin deficiency (P<0.05). ConclusionThe study concludes that there are notable differences in the distribution of TCM syndrome elements and the species abundance and composition of salivary microbiota between the patients with pulmonary nodules and the healthy individuals. The distinct external syndrome manifestations in patients with pulmonary nodules, compared to healthy individuals, may be a cascade event triggered by changes in the salivary microbiota. The dual correlation of Porphyromonas with both disease location and nature suggests that changes in its abundance may serve as an objective indicator for the improvement of symptoms in patients with yin deficiency-type pulmonary nodules.