University Of Traditional Chinese Medicine Research Articles

International standard of Traditional Chinese Medicine techniques: the operating specifications for Chinese medicated bath (2022).

Chinese medicated bath is one of the external therapies in Traditional Chinese Medicine (TCM), which has been widely used clinically. The "International Standard of Traditional Chinese Medicine Techniques: The Operating Specifications for Chinese Medicated Bath" is drawn up by the Beijing University of Chinese Medicine Third Affiliated Hospital and Beijing University of Chinese Medicine Xiamen Hospital in collaboration with domestic TCM universities and hospitals. The specification includes definition, operating process, points for attention and contraindications. It is targeted to provide reference for TCM providers at home and abroad with TCM background in clinical decision-making.

A real-world observational study on the effect of Qingre Lishi decoction on glycemic profile using continuous glucose monitoring in obese type 2 diabetes adults

ObjectiveTo observe the clinical efficacy and safety of the Qingre Lishi decoction in treating of newly diagnosed overweight and obese patients with type 2 diabetes mellitus (T2DM) from an evidence-based medical perspective.Methods70 cases of overweight and obese patients with newly diagnosed T2DM treated in the outpatient clinic of the Department of Endocrinology of the Affiliated Hospital of Liaoning University of Traditional Chinese Medicine from December 2021 to November 2022 were selected, of which 35 cases were in the observation group and 35 cases were in the control group. The observation group was treated with the Qingre Lishi decoction add lifestyle intervention, and the control group was treated with lifestyle intervention only. We compared and analyzed the fasting blood glucose (FPG), 2-hour postprandial glucose (2hPG), the occurrence of adverse reactions, and the related indexes provided by wearing the CGM device during the observation period of the patients in the two groups.Results53 participants completed the clinical trial. In relation of glycemic control, a decreasing trend has shown in both groups, with the decreases in FPG, 2hPG, eHbA1c, and MG in the observation group being higher than those in the control group (P<0.05). In regard to blood glucose attainment, at the 28d, the attainment rate of patients in the observation group with TIR>80% was 87.10%, and the magnitude of changes in the rise of TIR and the fall of TAR was significantly better than that in the control group (P<0.01). In terms of blood glucose fluctuation, CV and SD of the patients in the observation group decreased compared with the 0d; the magnitude of daytime blood glucose fluctuation was significantly alleviated compared with that of the control group. The degree of decrease in LAGE, MAGE, and MODD was significantly lower than that of the control group (P<0.01).ConclusionThe Qingre Lishi decoction can effectively improve the hyperglycemic condition of overweight and obese patients with newly diagnosed T2DM. It can reduce blood glucose, alleviate blood glucose fluctuations, reduce the incidence of hypoglycemia, and improve patients’ adherence and self-confidence in controlling blood glucose.Clinical Trial Registrationhttps://itmctr.ccebtcm.org.cn/, identifier ITMCTR2024000006.

Technetium-99m-methylene diphosphonate single photon emission computed tomography/computed tomography combined with prostate-specific antigen/free prostate-specific antigen ratio for bone metastasis of prostate cancer.

Prostate cancer (PC) is one of the most common malignant tumors in men, and bone metastasis is one of its common complications, which seriously affects the quality of life and prognosis of patients. To investigate the diagnostic value of technetium-99m-methylene diphosphonate (99mTc-MDP) single photon emission computed tomography (SPECT)/CT imaging combined with the serum prostate-specific antigen (PSA)/free PSA ratio for PC bone metastasis (PCBM). One hundred patients with PC who visited the Hospital of Chengdu University of Traditional Chinese Medicine from January 2020 to January 2022 were recruited as the experimental (Exp) group, while 30 patients with benign prostatic lesions (BPLs) were recruited as the control (Ctrl) group. All patients underwent 99mTc-MDP SPECT/CT imaging and serum PSA/fPSA testing. The SPECT/CT imaging results and serum PSA/fPSA ratios of patients were analyzed to evaluate their diagnostic values for PCBM. The difference in general information of the patients was not obvious, showing comparability. The two methods showed no visible differences in negative predictive value and sensitivity for patients with PCBM, but had great differences in positive predictive value and specificity (P < 0.05). The PSA/fPSA ratio of patients with PC in the Exp group was lower than those with BPLs, and patients with PCBM had a much lower PSA/fPSA ratio than those without PC (P < 0.05). The results confirmed that the combined use of 99mTc-MDP SPECT/CT imaging and serum PSA/fPSA ratio achieved a detection rate of 95% for PCBM. The combination of 99mTc-MDP SPECT/CT and PSA/fPSA ratio is accurate and reliable for the diagnosis of PCBM, which provides an important reference for clinical practice.

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

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. To analyzed the quality of life (QoL) and survival of patients with BC treated with integrated traditional Chinese and Western medicine (TCM-WM). 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. 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. 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.

Recent trends in Tuina for chronic pain management: A bibliometric analysis and literature review

BackgroundThe utilization of Tuina as a therapeutic intervention for the management of chronic pain has experienced a gradually increase in its popularity, and the purpose of this bibliometric analysis is to offer a comprehensive understanding of the current state and frontier trends, as well as to provide recommendations for future research directions. MethodsPublications on Tuina for chronic pain published between 2004 and 2023 were retrieved from the Web of Science Core Collection (WoSCC). Microsoft Excel, CiteSpace, VOSViewer, and the R package “bibliometrix” were used to quantitatively analyse the annual publication volume, countries/regions, journals, institutions, cited references, authors, and keywords. ResultsA total of 287 publications were retrieved. The number of annual publications on the use of Tuina for treating chronic pain has gradually increased. Most publications were published in China and the United States. Notably, the most productive institution and author were identified as Shanghai University of Traditional Chinese Medicine and Min Fang, respectively. Medicine ranked first as the most influential affiliate and most productive journal. These publications came from 1650 authors, among whom Edzard Ernst had the most co-citations. Keyword analysis revealed that the new research frontier was low back pain. ConclusionThe utilization of Tuina for the treatment of chronic pain has been gaining increasing recognition. Acupuncture, randomised controlled trials, systematic reviews, etc. were the main research subjects. Furthermore, low back pain is the new research frontier. This study provides an in-depth perspective on Tuina for chronic pain, which provides valuable reference material for clinicians with insights of therapeutic strategy, educators with valuable topics, and researchers with new research directions.

The effect of body weight-supported Tai Chi Yunshou on upper limb motor function in stroke survivors based on neurobiomechanical analysis: a four-arm, parallel-group, assessors-blind randomized controlled trial protocol

IntroductionA series of functional disorders commonly occur after stroke, of which upper limb dysfunction is the most difficult to recover. The upper limb rehabilitation effect of Tai Chi Yunshou(TCY) in the later stage of stroke has been confirmed by research. Body weight support-Tai Chi Yunshou (BWS-TCY) is based on TCY exercise and robotic exoskeletons offers most flexibility in deweighting and control strategy. This study is aimed to explore the effect of BWS-TCY on upper limb motor function in stroke based on neurobiomechanics.Methods and analysisA single-blind randomized controlled trial will be conducted on 36 stroke survivors who will be randomly assigned to three groups: experimental group, control group A and control group B. In addition, 12 healthy elderly people will be recruited into the healthy control group. Those in the experimental group will receive 20 min of CRT and 20 min of BWS-TCY training, while participants in the control group A will receive 20 min of CRT and 20 min of Robot-assisted training. Participants in the control group B will undergo 40 min of Conventional rehabilitation training (CRT) daily. All interventions will take place 5 days a week for 12 weeks, with a 12-week follow-up period. No intervention will be carried out for the healthy control group. Upper limb function will be assessed before and after the intervention using various rating scales (Fugl-Meyer Assessment, Wolf Motor Function Test, etc.), as well as neurobiomechanical analyses (surface electromyography, functional near-infrared brain function analysis system, and Xsens maneuver Capture System). Additionally, 10 healthy elderly individuals will be recruited for neurobiomechanical analysis, and the results will be compared with those of stroke survivors.DiscussionThe results of this study will offer initial evidence on the effectiveness and feasibility of BWS-TCY as an early intervention for stroke rehabilitation. Positive findings from this study could contribute to the development of guidelines for the use of BWS-TCY in the early stages of stroke.Ethics and disseminationThis study has been approved by the Research Ethics Committees of the seventh People’s Hospital Affiliated to Shanghai University of Traditional Chinese Medicine (Study ID: 2022-7th-HIRB-022). The results of the study will be published in a peer-reviewed journal and presented at scientific conferences.Clinical trial registrationhttps://clinicaltrials.gov/, ChiCTR 2200063150.

The effect of body weight-supported Tai Chi Yunshou on upper limb motor function in stroke survivors based on neurobiomechanical analysis: a four-arm, parallel-group, assessors-blind randomized controlled trial protocol.

A series of functional disorders commonly occur after stroke, of which upper limb dysfunction is the most difficult to recover. The upper limb rehabilitation effect of Tai Chi Yunshou(TCY) in the later stage of stroke has been confirmed by research. Body weight support-Tai Chi Yunshou (BWS-TCY) is based on TCY exercise and robotic exoskeletons offers most flexibility in deweighting and control strategy. This study is aimed to explore the effect of BWS-TCY on upper limb motor function in stroke based on neurobiomechanics. A single-blind randomized controlled trial will be conducted on 36 stroke survivors who will be randomly assigned to three groups: experimental group, control group A and control group B. In addition, 12 healthy elderly people will be recruited into the healthy control group. Those in the experimental group will receive 20 min of CRT and 20 min of BWS-TCY training, while participants in the control group A will receive 20 min of CRT and 20 min of Robot-assisted training. Participants in the control group B will undergo 40 min of Conventional rehabilitation training (CRT) daily. All interventions will take place 5 days a week for 12 weeks, with a 12-week follow-up period. No intervention will be carried out for the healthy control group. Upper limb function will be assessed before and after the intervention using various rating scales (Fugl-Meyer Assessment, Wolf Motor Function Test, etc.), as well as neurobiomechanical analyses (surface electromyography, functional near-infrared brain function analysis system, and Xsens maneuver Capture System). Additionally, 10 healthy elderly individuals will be recruited for neurobiomechanical analysis, and the results will be compared with those of stroke survivors. The results of this study will offer initial evidence on the effectiveness and feasibility of BWS-TCY as an early intervention for stroke rehabilitation. Positive findings from this study could contribute to the development of guidelines for the use of BWS-TCY in the early stages of stroke. This study has been approved by the Research Ethics Committees of the seventh People's Hospital Affiliated to Shanghai University of Traditional Chinese Medicine (Study ID: 2022-7th-HIRB-022). The results of the study will be published in a peer-reviewed journal and presented at scientific conferences. https://clinicaltrials.gov/, ChiCTR 2200063150.

Application of multidisciplinary team-based integrated traditional Chinese medicine and Western medicine in rotator cuff injury patients undergoing arthroscopic surgery.

Arthroscopic rotator cuff repair is a common surgical treatment for rotator cuff injuries (RCIs). Although this procedure has certain clinical advantages, it requires rehabilitation management interventions to ensure therapeutic efficacy. To investigate the effect of integrated traditional Chinese medicine and Western medicine (TCM-WM) under the multidisciplinary team (MDT) model on the postoperative recovery of patients undergoing arthroscopic surgery for RCIs. This study enrolled 100 patients who underwent arthroscopic rotator cuff repair for RCIs at the Seventh People's Hospital of Shanghai University of Traditional Chinese Medicine between June 2021 and May 2024. They were divided into a control group (n = 48) that received routine rehabilitation treatment and an experimental group (n = 52) that received TCM-WM under the MDT model (e.g., acupuncture, TCM traumatology and orthopedics, and rehabilitation). The results of the Constant-Murley Shoulder Score (CMS), Visual Analogue Scale (VAS), Shoulder Pain and Disability Index (SPADI), muscular strength evaluation, and shoulder range of motion (ROM) assessments were analyzed. After treatment, the experimental group showed significantly higher CMS scores in terms of pain, functional activity, shoulder joint mobility, and muscular strength than the baseline and those of the control group. The experimental group also exhibited significantly lower VAS and SPADI scores than the baseline and those of the control group. In addition, the experimental group showed significantly enhanced muscular strength (forward flexor and external and internal rotator muscles) and shoulder ROM (forward flexion, abduction, and lateral abduction) after treatment compared with the control group. TCM-WM under the MDT model improved shoulder joint function, relieved postoperative pain, promoted postoperative functional recovery, and facilitated the recovery of muscular strength and shoulder ROM in patients with RCIs who underwent arthroscopic rotator cuff repair.

Prediction of hypertension risk based on multiple feature fusion

ObjectiveIn the application of machine learning to the prediction of hypertension, many factors have seriously affected the classification accuracy and generalization performance. We propose a pulse wave classification model based on multi-feature fusion for accuracy prediction of hypertension. Methods and MaterialsWe propose an ensemble under-sampling model with dynamic weights to decrease the influence of class imbalance on classification, further to automatically classify of hypertension on inquiry diagnosis. We also build a deep learning model based on hybrid attention mechanism, which transforms pulse waves to feature maps for extraction of in-depth features, so as to automatically classify hypertension on pulse diagnosis. We build the multi-feature fusion model based on dynamic Dempster/Shafer (DS) theory combining inquiry diagnosis and pulse diagnosis to enhance fault tolerance of prediction for multiple classifiers. In addition, this study calculates feature importance ranking of scale features on inquiry diagnosis and temporal and frequency-domain features on pulse diagnosis. ResultsThe accuracy, sensitivity, specificity, F1-score and G-mean after 5-fold cross-validation were 94.08%, 93.43%, 96.86%, 93.45% and 95.12%, respectively, based on the hypertensive samples of 409 cases from Longhua Hospital affiliated to Shanghai University of Traditional Chinese Medicine and Hospital of Integrated Traditional Chinese and Western Medicine. We find the key factors influencing hypertensive classification accuracy, so as to assist in the prevention and clinical diagnosis of hypertension. ConclusionCompared with the state-of-the-art models, the multi-feature fusion model effectively utilizes the patients’ correlated multimodal features, and has higher classification accuracy and generalization performance.

World Federation of Acupuncture-Moxibustion Societies (WFAS) Technical Benchmark of Acupuncture and Moxibustion: Cupping: 世界针灸学会联合会标准《针灸技术操作规范:拔罐》

World Federation of Acupuncture-Moxibustion Societies (WFAS) Technical Benchmark of Acupuncture and Moxibustion: Cupping, developed under the leadership of Tianjin University of Traditional Chinese Medicine, was approved by WFAS. This technical benchmark was issued on October 9, 2023, and implemented on December 31, 2023. The main contents include the scope, normative references, terms and definitions, procedures and rules, and safety. This article focuses on the above contents, an outlook on the application, popularization, and update plan of this technical benchmark is proposed.

Clinical effect of acupuncture at ghost points combined with fluoxetine hydrochloride on mild-to-moderate depression.

Depression is a common, chronic, and recurrent mood disorder that has become a worldwide health hazard. Fluoxetine hydrochloride, a common treatment method, can inhibit 5-hydroxytryptamine (5-HT) recycling in the presynaptic membrane; however, the efficacy of a single drug is inadequate. At present, mild-to-moderate depression can be treated with acupuncture of ghost caves, but the clinical curative effect of combined therapy with fluoxetine hydrochloride has not been sufficiently reported. To evaluate the clinical effect of acupuncture at ghost points combined with fluoxetine hydrochloride in the treatment of mild-to-moderate depression. This retrospective study included 160 patients with mild-to-moderate depression who were admitted to Shanghai Hospital of Integrated Traditional Chinese and Western Medicine, Affiliated to Shanghai University of Traditional Chinese Medicine, between January 2022 and June 2023. Patients were separated into a single-agent group (fluoxetine hydrochloride treatment, n = 80) and a coalition group (fluoxetine hydrochloride treatment combined with acupuncture at ghost points, n = 80). Pre-treatment symptoms were recorded, and the clinical curative effect and adverse reactions [Asberg Antidepressant Side Effects Scale (SERS)] were assessed. Depression before and after treatment [Hamilton Depression Scale (HAMD)-24], neurotransmitter levels [5-HT, norepinephrine (NE), dopamine (DA)], oxidative stress indicators [superoxide dismutase (SOD), malondialdehyde (MDA)], and sleep quality [Pittsburgh Sleep Quality Index (PSQI)] were compared. The total efficacy rate was 97.50% in the coalition group and 86.25% in the single-agent group (P < 0.05). After 2, 4, 6, and 8 wk of treatment, the HAMD, self-rating depression scale, and SERS scores of the coalition and single-agent groups decreased compared with pre-treatment, and the decrease was more significant in the coalition group (P < 0.05). After 8 wk of treatment, the levels of NE, DA, 5-HT, and SOD in the coalition and single-agent groups increased, while the levels of MDA decreased; the increases and decrease in the coalition group were more significant (P < 0.05). The PSQI scores of the coalition and single-agent groups decreased, and the decrease was more significant in the coalition group (P < 0.05). Acupuncture at ghost points combined with paroxetine tablets can safely improve depressive symptoms and sleep disorders, regulate neurotransmitter levels, and reduce stress responses in patients with mild-to-moderate depression.

Decoding Wilson disease: a machine learning approach to predict neurological symptoms.

Wilson disease (WD) is a rare autosomal recessive disorder caused by a mutation in the ATP7B gene. Neurological symptoms are one of the most common symptoms of WD. This study aims to construct a model that can predict the occurrence of neurological symptoms by combining clinical multidimensional indicators with machine learning methods. The study population consisted of WD patients who received treatment at the First Affiliated Hospital of Anhui University of Traditional Chinese Medicine from July 2021 to September 2023 and had a Leipzig score ≥ 4 points. Indicators such as general clinical information, imaging, blood and urine tests, and clinical scale measurements were collected from patients, and machine learning methods were employed to construct a prediction model for neurological symptoms. Additionally, the SHAP method was utilized to analyze clinical information to determine which indicators are associated with neurological symptoms. In this study, 185 patients with WD (of whom 163 had neurological symptoms) were analyzed. It was found that using the eXtreme Gradient Boosting (XGB) to predict achieved good performance, with an MCC value of 0.556, ACC value of 0.929, AUROC value of 0.835, and AUPRC value of 0.975. Brainstem damage, blood creatinine (Cr), age, indirect bilirubin (IBIL), and ceruloplasmin (CP) were the top five important predictors. Meanwhile, the presence of brainstem damage and the higher the values of Cr, Age, and IBIL, the more likely neurological symptoms were to occur, while the lower the CP value, the more likely neurological symptoms were to occur. To sum up, the prediction model constructed using machine learning methods to predict WD cirrhosis has high accuracy. The most important indicators in the prediction model were brainstem damage, Cr, age, IBIL, and CP. It provides assistance for clinical decision-making.

Radiomics analysis using magnetic resonance imaging of bone marrow edema for diagnosing knee osteoarthritis.

This study aimed to develop and validate a bone marrow edema model using a magnetic resonance imaging-based radiomics nomogram for the diagnosis of osteoarthritis. Clinical and magnetic resonance imaging (MRI) data of 302 patients with and without osteoarthritis were retrospectively collected from April 2022 to October 2023at Longhua Hospital affiliated with the Shanghai University of Traditional Chinese Medicine. The participants were randomly divided into two groups (a training group, n = 211 and a testing group, n = 91). We used logistic regression to analyze clinical characteristics and established a clinical model. Radiomics signatures were developed by extracting radiomic features from the bone marrow edema area using MRI. A nomogram was developed based on the rad-score and clinical characteristics. The diagnostic performance of the three models was compared using the receiver operating characteristic curve and Delong's test. The accuracy and clinical application value of the nomogram were evaluated using calibration curve and decision curve analysis. Clinical characteristics such as age, radiographic grading, Western Ontario and McMaster Universities Arthritis Index score, and radiological features were significantly correlated with the diagnosis of osteoarthritis. The Rad score was constructed from 11 radiological features. A clinical model was developed to diagnose osteoarthritis (training group: area under the curve [AUC], 0.819; testing group: AUC, 0.815). Radiomics models were used to effectively diagnose osteoarthritis (training group,: AUC, 0.901; testing group: AUC, 0.841). The nomogram model composed of Rad score and clinical characteristics had better diagnostic performance than a simple clinical model (training group: AUC, 0.906; testing group: AUC, 0.845; p < 0.01). Based on DCA, the nomogram model can provide better diagnostic performance in most cases. In conclusion, the MRI-bone marrow edema-based radiomics-clinical nomogram model showed good performance in diagnosing early osteoarthritis.

First Report of Leaf Spot Disease on Lonicera japonica Caused by Nigrospora oryzae in China.

Lonicera japonica Thunb. is a traditional Chinese medicinal plant, which widely cultivated in China, Japan and Korea. From August to October in 2021 and 2022, severe leaf spots symptoms were observed on L. japonica in medicinal botanical garden of Shandong University of Traditional Chinese Medicine (36°55'89"N, 116°79'91"E), Jinan, Shandong Province, China. The disease incidence was above 80% in the 25 acre cultivation area. Early symptoms were small brown spots on the leaves. Then the number of small spots gradually increased and spread over the entire leaves. The small brown spots seldom merge together to form larger lesions. Leaves with typical symptoms were collected from twenty individual plants, and cut into small 5×5 mm fragments in the junction of infected and healthy tissues. The fragments were sterilized in 75% ethanol for 30 s and 1% NaClO for 60 s, rinsed three times in sterile water, and then placed on potato dextrose agar (PDA). After 3 days of incubation at 25°C, fungal plugs along the edge of the colony were cut and transferred to new PDA for purification. A total number of 23 colonies with similar morphological characteristics were obtained, and three representative strains (Lj14, Lj18 and Lj20) were selected for subsequent study. The colonies grew rapidly on PDA and covered the entire petri dish in 4 days. Colonies had abundant aerial hyphae, initially white, round, later turning gray and black. Conidia were oblate or nearly spherical, single-celled, black, and measured in size from 9.6 to 13.2 μm × 7.9 to 16.1 μm in diameter (n=150) (Figure S1). The observed characteristics were close to those of Nigrospora spp. ( Wang et al. 2017). The genomic DNA was extracted, and PCR amplification of the rDNA internal transcribed spacer (ITS), β-tubulin gene (TUB), and translation elongation factor 1-alpha gene (TEF1) were completed by primers ITS1/ITS4, Bt2a/Bt2b and EF1-728F/EF1-986R (Carbone and Kohn, 1999). Sequences were deposited in GenBank (accession nos. OR936661, OR936662, OR936671 for ITS, OR947626, OR947627, OR947628 for TUB, and OR947629, OR947630, OR947631 for TEF1 sequences, respectively). BLAST analyses of ITS (OR936661), TUB(OR947626) and TEF1 (OR947629) sequences exhibited 100% (487 bp out of 487 bp), 99.48% (380 bp out of 382 bp), and 99.6% (248 bp out of 249 bp) similarity to the sequences of N. oryzae strains KoLRI_053384 (MZ855426), LC2991 (KY019496) and LC7307 (KY019409), respectively. Lj14, Lj18 and Lj20 formed a clade with N. oryzae LC6763 and LC2991 in phylogenetic tree (Figure S2). Based on morphological and molecular evidence, the pathogen was identified as N. oryzae (Berk. &Broome) Petch. To fulfill Koch's postulates, the pathogenicity was tested in vivo experiments. Thirty non-wounded healthy leaves of ten intact plants were inoculated with 10 µl spore suspension (106 spores/ml) of three strains, respectively. As negative control, thirty leaves of ten healthy plants were inoculated with sterile water. The inoculated plants were placed at 28°C in the growth chamber with high relative humidity. The pathogenicity tests were repeated three times. Distinct symptoms similar to that of natural conditions were observed on the leaves of inoculated plants after 4 to 7 days. The strain was reisolated from the lesions and identified as N. oryzae by morphological features and ITS sequence. The pathogen has been reported to cause leaf spot disease on tobacco (Wang et al. 2022) and asiatic dayflower (Qiu et al. 2022). To our knowledge, this is the first report of leaf spot caused by N. oryzae on Lonicera japonica in China. The research will be helpful for leaf spot disease control.

Constructing and validating a predictive nomogram for osteoporosis risk among Chinese single-center male population using the systemic immune-inflammation index

Osteoporosis (OP) is a bone metabolism disease that is associated with inflammatory pathological mechanism. Nonetheless, rare studies have investigated the diagnostic effectiveness of immune-inflammation index in the male population. Therefore, it is interesting to achieve early diagnosis of OP in male population based on the inflammatory makers from blood routine examination. We developed a prediction model based on a training dataset of 826 Chinese male patients through a retrospective study, and the data was collected from January 2022 to May 2023. All participants underwent the dual-energy X-ray absorptiometry (DXEA) and blood routine examination. Inflammatory markers such as systemic immune-inflammation index (SII) and platelet-to-lymphocyte ratio (PLR) was calculated and recorded. We utilized the least absolute shrinkage and selection operator (LASSO) regression model to optimize feature selection. Multivariable logistic regression analysis was applied to construct a predicting model incorporating the feature selected in the LASSO model. This predictive model was displayed as a nomogram. Receiver operating characteristic (ROC) curve, C-index, calibration curve, and clinical decision curve analysis (DCA) to evaluate model performance. Internal validation was test by the bootstrapping method. This study was approved by the Ethic Committee of the First Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine (Ethic No. JY2023012) and conducted in accordance with the relevant guidelines and regulations. The predictive factors included in the prediction model were age, BMI, cardiovascular diseases, cerebrovascular diseases, neuropathy, thyroid diseases, fracture history, SII, PLR, C-reactive protein (CRP). The model displayed well discrimination with a C-index of 0.822 (95% confidence interval: 0.798–0.846) and good calibration. Internal validation showed a high C-index value of 0.805. Decision curve analysis (DCA) showed that when the threshold probability was between 3 and 76%, the nomogram had a good clinical value. This nomogram can effectively predict the incidence of OP in male population based on SII and PLR, which would help clinicians rapidly and conveniently diagnose OP with men in the future.

Efficacy of a Daltuzumab-containing Regimen in Patients with mSMART High-Risk Multiple Myeloma

To investigate the efficacy and safety of a treatment regimen based on daratumumab in patients with high-risk relapsed refractory multiple myeloma(MM) with mSMART 3.0 score. Clinical data were collected from 16 patients with mSMART3.0 score high-risk relapsed refractory MM treated at the Affiliated Hospital of Shandong University of Traditional Chinese Medicine from May 2020 to May 2023, all of whom received daltezumab-based regimen (regimen drugs including dexamethasone, isazomib, bortezomib, lenalidomide). The efficacy and safety of the treatment were retrospectively analyzed. The median age of 16 patients was 63.5 (47-70) years old, including 10 cases of IgG type, 2 cases of IgA type, and 4 cases of light chain type. The curative efficacy was judged in all 16 patients, with an overall response rate of 93.75% (15/16), including 4 cases of strict complete remission (sCR), 1 case of complete remission (CR), 2 case of very good partial remission (VGPR), partial remission (PR) in 5 cases, and minor remission (MR) in 3 cases. The median follow-up time was 11(2-30) months, and the median progression-free survival and median overall survival were not achieved in 16 patients at the median follow-up period. The hematologic adverse effects of the treatment regimen using daratumumab-based were mainly neutropenia, and the non-hematologic adverse effects were mainly infusion-related adverse reactions and infections. Daratumumab-based regimen for the treatment of relapsed refractory MM patients with high risk of mSMART3.0 score has better efficacy and safety.

Global trend of nondrug and nonsedativehypnotic treatment forinsomnia: a bibliometric study.

To present a bibliometric analysis of global scientific publications on the nondrug and nonsedative hypnotic treatment of insomnia with regard to influential institutions, publications, countries, research hotspots, trends, and frontiers. A literature review was conducted by searching the Web of Science Core Collection (WoSCC) and China National Knowledge Infrastructure (CNKI) databases to identify all publications related to the nondrug and nonsedative hypnotic treatment of insomnia from 2000 to 2021. Eligible publications were reviewed, including annual publication increments, citation analyses, international collaborations, and keyword analyses. The data were analysed using CiteSpace (vers5.8.R3, 6.1.R2 and 6.1.6, College of Computing and Informatics, Philadelphia, PA, USA) and virtualized by knowledge maps. RESULTS：In total, 9832 publications were included in this analysis. The results from the WoSCC showed that the United States of America (Count = 2268, 40.33%), Stanford University (Count = 141, 2.51%), and the United States Department of Health and Human Services were the leading country, institute, and funding agency regarding the number of publications, respectively. 'Cognitive-behavioural therapy" was the most popular research topic generated from the cocited reference. The most frequently co-occurring keywords were insomnia, cognitive behavioural therapy, disorder, depression, quality of life, Meta-analysis, older adult, sleep, prevalence and efficacy, while keywords including clinical practice guideline, guideline, and Tai Chi remained popular after 2021. Circadian rhythm was the strongest research frontier for 2000-2021. In China, Chengdu University of Traditional Chinese Medicine (Count = 69, 4.79%) was the most productive institute in this field. The most frequently co-occurring keywords from Chinese literature were sleep disorder, sleep quality, acupuncture and moxibustion, Parkinson's disease, transcranial magnetic stimulation, health education, music therapy, chronic insomnia, quality of life, and nonmotor symptoms. Traditional Chinese medicine was the strongest research frontier for 2019-2021. This bibliometric study provides an exhaustive mapping encompassing pertinent institute, publications, influential articles, researchers and topics of the global trend of nondrug and nonsedative hypnotic treatment for insomnia. The results show that the research trend has shifted from primary studies on the efficacy and safety of nondrug and nonsedative hypnotic treatment for insomnia to comorbidity studies. Clinical practice guidelines will potentially become the research frontier for this field post-2021. The findings are important for researchers, clinicians, journal editors, and policy-makers working in the field of nondrug and nonsedative hypnotic treatment for insomnia to understand the strengths and potentials in the current studies and guide future clinical practice, research, and science policy.

Study on regulating AQP1, AQP3, AQP4, 5-HT, NOS1 in slow transit constipation rats by Liqi Tongbian mixture.

Liqi Tongbian is a traditional Chinese medicine (TCM) preparation that contains herbs that may treat slow transit constipation (STC). Atractylodes macrocephala, Astragalus membranaceus, Fructus aurantii, radish seed, uncooked Polygonum multiflorum, and Agastache rugosa were included in the formula for their unique qualities. The control of water transfer in the colon is greatly influenced by aquaporin 3 (AQP3). Based on this, the Liqi Tongbian mixture was used to detect the concentrations of aquaporins (AQPs), 5-HT and nitrix oxide synthase 1 (NOS1) in STC rats, and explore its effect, in order to provide a theoretical basis for the remedy of STC with TCM. Zhejiang University of Traditional Chinese Medicine provided 32 three-week-old Sprague Dawley rats of SPF-grade. The pairs licensed under SYXK (Zhejiang) 2021-0012 were kept at 20-25°C and humidity of 50-65%. The compound diphenoxylate caused constipation in the control, model, Liqi laxative (LQTB), and mosapride groups. The Liqi laxative rats were administered a mixture of traditional Chinese herbs after modeling, while mosapride was given to the other group. The levels of 5-HT, NOS1 and AQPs were tested in the feces and intestinal tissues. Comparing the condition of rat feces, it was found that the model group had significantly lower overall bulk, score and particles within 24 h compared to the control group. In comparison to mosapride, LQTB performed better. The model group had higher levels of 5-HT and NOS1 in intestinal tissue, while the LQTB and mosapride groups had decreased levels of these AQPs. LQTB had lower levels of AQP1, AQP3 and AQP4 than mosapride, while the model group had higher levels of these AQPs. Liqi Tongbian mixture works better than mosapride in improving constipation symptoms in rats with STC, and its mechanism is related to regulating the level of intestinal AQPs and neurotransmitters.

Development and prospect ofbotanical drugs in the treatment of lung cancer–a visualisation study based on

IntroductionLung cancer has one of the highest death rates in the world. modern medicine is the main treatment, but it has many side effects. Scholars have turned their attention to botanical drugs. It is found that in addition to treating lung cancer, it can also reduce side effects, improve the immunity of patients and the quality of lives of patients. MethodsWe searched journal papers from the Web of Science database dated from January 2002 to March 2023 in the field of botanical drugs treating lung cancer, we used Cite Space, VOS viewer, Pajet analysis software to analyze publication, author, institution, country, keyword, keyword cluster, journals of co-citation analysis, burst keyword, and drew visual maps. Results814 articles were obtained,Liu Liang published the most papers in the field, Shanghai University of Traditional Chinese Medicine was an important scientific research institution, and it had more cooperation with other institutions. China had the largest number of publications. The research content mainly focused on lung cancer, apoptosis, traditional Chinese medicine, Chinese herb medicine, efficacy, chemotherapy, signalling pathways, mechanisms, and in vitro. Ten significant clusters were generated by keyword cluster analysis. The Journal Of Ethnopharmacology (929 citations) and Cancer Research (683 citations) were excellent journals in the JCR1 region. The top 18 burst keywords showed the hot research issues in the past more than 20 years. ConclusionThe research is still in initial stage. This paper shows the current situation, research progress, and hotspots of the field with the help of visual maps.

Manual Acupuncture Manipulation Recognition Method via Interactive Fusion of Spatial Multiscale Motion Features

Manual acupuncture manipulation (MAM) is essential in traditional Chinese medicine treatment. MAM action recognition is important for junior acupuncturists’ training and education; however, there are obvious personalized differences in hand gestures among expert acupuncturists for the same type of MAM. In addition, during the MAM operations, the magnitude and frequency of the expert acupuncturists’ hand shape and relative needle-holding finger position changes are tiny and fast, resulting in difficulties in observing MAM action details. Thus, we propose a Spatial Multiscale Interactive Fusion MAM Recognition Network to solve the difficulties in MAM recognition. First, this paper presents an optical flow-based hand motion contour global feature extraction method for acupuncture hand shape. Second, to explore the motion rule between the needle-holding fingers during the MAM operations, we design a quantitative description method of the relative motion of the needle-holding fingers: an “interactive attention module,” which achieves feature fusion and mines the correlation between different scales of MAM action features. Finally, the proposed MAM recognition method was validated by 20 acupuncturists from the Beijing University of Traditional Chinese Medicine and 10 from the Beijing Zhongguancun Hospital who participated in the MAM video signal collection. The proposed recognition method achieves the highest average validation accuracy of 95.3% and the highest test accuracy of 96.0% for four typical MAMs, proving its feasibility and effectiveness.