Traditional Chinese medicine(TCM) decoction pieces are a core carrier for the inheritance and innovation of TCM, and their quality and safety are critical to public health and the sustainable development of the industry. Conventional quality control models, while having established a well-developed system through long-term practice, still face challenges such as relatively long inspection cycles, insufficient objectivity in characterizing complex traits, and urgent needs for improving the efficiency of integrating multidimensional quality information when confronted with the dual demands of large-scale production and precision quality control. With the rapid development of artificial intelligence, machine learning can deeply analyze multidimensional data of the morphology, spectroscopy, and chemical fingerprints of decoction pieces by constructing high-dimensional feature space analysis models, significantly improving the standardization level and decision-making efficiency of quality evaluation. This article reviews the research progress in the application of machine learning in the processing, production, and rapid quality evaluation of TCM decoction pieces. It further analyzes current challenges in technological implementation and proposes potential solutions, offering theoretical and technical references to advance the digital and intelligent transformation of the industry.
Machine Learning ; Drugs, Chinese Herbal/standards* ; Quality Control ; Medicine, Chinese Traditional/standards* ; Humans

In this study, we investigated the anti-osteoporotic activity and mechanism of action of extract of Panax quiquefolium L. based on zebrafish model combined with metabolomics technology. A zebrafish model of prednisolone-induced osteoporosis was used to compare the anti-osteoporotic activity of Panax quiquefolium L., and the expression of osteoblast-associated genes and osteoclast-associated genes in zebrafish was detected by quantitative real-time PCR (qRT-PCR), using bone fluorescence area and fluorescence density as evaluation indexes. Metabolomics based on ultra-high performance liquid chromatography-mass spectrometry (UPLC-MS) was used to explore the change patterns of biomarkers and the metabolic pathways affected. The results showed that the 50% ethanol extracts of Panax quiquefolium L. from Jilin, Canada, Wenden and the United States can significantly improve the bone fluorescence area of zebrafish compared with model group. Furthermore, four sources 50% ethanol extracts of Panax quiquefolium L. except United States also can significantly improve the bone fluorescence density of zebrafish. In addition, PCR showed that extract of Panax quiquefolium L. can significantly up-regulated the expression of vitamin D receptor b (vdrb), collagen type I α2 (col1a2) and cysteine-rich acidic secreted protein (sparc) genes, and down-regulated the expression of matrix metalloproteinase 9 (mmp9), anti-tartrase acid phosphatase (trap) and cathepsin K (ctsk) genes. Metabolomic analysis identified 24 key differential metabolites. Furthermore, pathway analysis showed that Panax quiquefolium L. could regulate the levels of 10 key biomarkers by participating in purine metabolism, tricarboxylic acid cycle and pentose phosphate metabolism and improve the osteoporosis status of zebrafish. This study preliminically revealed the anti-osteoporosis mechanism of 50% ethanol extract from Panax quiquefolium L. through multi-component, multi-target and multi-pathway and also provides theoretical basis for clinical development and utilization of anti-osteoporosis products of Panax quiquefolium L. This experiment was approved by the Experimental Animal Welfare Ethics Committee of the Institute of Biology, Shandong Academy of Sciences (approval number: SWS20181002).

OBJECTIVE: To investigate the short- and mid-term effectiveness of unicompartmental knee arthroplasty (UKA) for post-traumatic arthritis (PTA) of knee. METHODS: The clinical data of 30 patients with PTA of unilateral knee between March 2014 and September 2021 was retrospectively analyzed. There were 14 males and 16 females with an average of 64.5 years (range, 33-81 years). The average body mass index was 26.7 kg/m ² (range, 19.8-35.6 kg/m ²). The types of injuries that caused PTA included intra-articular fracture in 16 cases, extra-articular fracture in 8 cases, and soft tissue injury in 6 cases. The initial injuries were treated by conservative therapy in 12 cases and by surgical therapy in 18 cases. Ten cases were medial compartment osteoarthritis and 20 cases were lateral compartment osteoarthritis. According to Kellgren-Lawrence staging, there were 19 cases of grade Ⅲ and 11 cases of grade Ⅳ. The operative time, the length of hospital stay, complications, and subjective satisfaction were recorded. The Oxford Knee Function Score (OKS), Hospital for Special Surgery (HSS) score, and knee range of motion (ROM) were used to evaluate knee function. Weight-bearing X-ray films were taken to measure the femoro-tibial angle (FTA) and to assess alignment correction of the lower limb. RESULTS: The operative time ranged from 50 to 95 minutes (mean, 63.7 minutes), the length of hospital stay ranged from 3 to 8 days (mean, 6.9 days). Superficial infection occurred in 2 patients, while the remaining incisions healed by first intention. There was no deep vein thrombosis or neurovascular injury. All patients were followed up 17-109 months (median, 70 months). At last follow-up, OKS score, HSS score, and ROM in 30 cases significantly improved when compared with those before operation (P<0.05). Lower limb alignment was significantly corrected and there was significant difference in FTA of the varus and valgus knees between pre- and post-operation ( P<0.05). The patient satisfaction rate was 86.7% (26/30). Two cases developed contralateral osteoarthritis progression during follow-up. No bearing dislocation, prosthesis loosening or sinking occurred and none required further revision. CONCLUSION For patients with PTA of knee, UKA can obtain definite short- and mid-term effectiveness with high patient satisfaction.
Male ; Female ; Humans ; Arthroplasty, Replacement, Knee ; Retrospective Studies ; Knee Prosthesis ; Osteoarthritis, Knee/surgery* ; Treatment Outcome ; Knee Joint/surgery* ; Lower Extremity/surgery* ; Range of Motion, Articular

Since Curcumae Radix decoction pieces have multiple sources, it is difficult to distinguish depending on traditional cha-racters, and the mixed use of multi-source Curcumae Radix will affect its clinical efficacy. Heracles Neo ultra-fast gas phase electronic nose was used in this study to quickly identify and analyze the odor components of 40 batches of Curcumae Radix samples from Sichuan, Zhejiang, and Guangxi. Based on the odor fingerprints established for Curcumae Radix decoction pieces of multiple sources, the odor components was identified and analyzed, and the chromatographic peaks were processed and analyzed to establish a rapid identification method. Principal component analysis(PCA), discriminant factor analysis(DFA), and soft independent modeling cluster analysis(SIMCA) were constructed for verification. At the same time, one-way analysis of variance(ANOVA) combined with variable importance in projection(VIP) was employed to screen out the odor components with P<0.05 and VIP>1, and 13 odor components such as β-caryophyllene and limonene were hypothesized as the odor differential markers of Curcumae Radix decoction pieces of diffe-rent sources. The results showed that Heracles Neo ultra-fast gas phase electronic nose can well analyze the odor characteristics and rapidly and accurately discriminate Curcumae Radix decoction pieces of different sources. It can be applied to the quality control(e.g., online detection) in the production of Curcumae Radix decoction pieces. This study provides a new method and idea for the rapid identification and quality control of Curcumae Radix decoction pieces.
Drugs, Chinese Herbal/analysis* ; Electronic Nose ; China ; Plant Roots/chemistry* ; Limonene/analysis* ; Chromatography, High Pressure Liquid

Derived from Curcuma plants, Curcumae Longae Rhizoma, Curcumae Rhizoma, Wenyujin Rhizoma Concisum, and Curcumae Radix are common blood-activating and stasis-resolving medicinals in clinical practice, which are mainly used to treat amenorrhea, dysmenorrhea, chest impediment and heart pain, and rheumatic arthralgia caused by blood stasis block. According to modern research, the typical components in medicinals derived from Curcuma plants, like curcumin, demethoxycurcumin, bisdemethoxycurcumin, curdione, germacrone, curcumol, and β-elemene, have the activities of hemorheology improvement, anti-platelet aggregation, anti-thrombosis, anti-inflammation, anti-tumor, and anti-fibrosis, thereby activating blood and resolving stasis. However, due to the difference in origin, medicinal part, processing, and other aspects, the efficacy and clinical application are different. The efficacy-related substances behind the difference have not yet been systematically studied. Thus, focusing on the efficacy-related substances, this study reviewed the background, efficacy and clinical application, efficacy-related substances, and "prediction-identification-verification" research method of blood-activating and stasis-resolving medicinals derived from Curcuma plants, which is expected to lay a theoretical basis for the future research on the "similarities and differences" of such medicinals based on integrated evidence chain and to guide the scientific and rational application of them in clinical practice.
Curcuma ; Curcumin ; Drugs, Chinese Herbal ; Plant Roots ; Platelet Aggregation ; Rhizome

This study aims to study the effective substance and mechanism of Ziziphi Spinosae Semen extract in the treatment of insomnia based on serum metabolomics and network pharmacology. The rat insomnia model induced by p-chlorophenylalanine(PCPA) was established. After oral administration of Ziziphi Spinosae Semen extract, the general morphological observation, pentobarbital sodium-induced sleep test, and histopathological evaluation were carried out. The potential biomarkers of the extract in the treatment of insomnia were screened by ultra-high performance liquid chromatography-mass spectrometry(UHPLC-MS) combined with multivariate analysis, and the related metabolic pathways were further analyzed. The "component-target-pathway" network was constructed by ultra-high performance liquid chromatography coupled with quadrupole-Exactive mass spectrometry(UHPLC-Q-Exactive-MS/MS) combined with network pharmacology to explore the effective substances and mechanism of Ziziphi Spinosae Semen in the treatment of insomnia. The results of pentobarbital sodium-induced sleep test and histopathological evaluation(hematoxylin and eosin staining) showed that Ziziphi Spinosae Semen extract had good theraputic effect on insomnia. A total of 21 endogenous biomarkers of Ziziphi Spinosae Semen extract in the treatment of insomnia were screened out by serum metabolomics, and the metabolic pathways of phenylalanine, tyrosine and tryptophan biosynthesis, phenylalanine metabolism, and nicotinate and nicotinamide metabolism were obtained. A total of 34 chemical constituents were identified by UHPLC-Q-Exactive-MS/MS, including 24 flavonoids, 2 triterpenoid saponins, 4 alkaloids, 2 triterpenoid acids, and 2 fatty acids. The network pharmacological analysis showed that Ziziphi Spinosae Semen mainly acted on target proteins such as dopamine D2 receptor(DRD2), 5-hydroxytryptamine receptor 1 A(HTR1 A), and alpha-2 A adrenergic receptor(ADRA2 A) in the treatment of insomnia. It was closely related to neuroactive ligand-receptor interaction, serotonergic synapse, and calcium signaling pathway. Magnoflorine, N-nornuciferine, caaverine, oleic acid, palmitic acid, coclaurine, betulinic acid, and ceanothic acid in Ziziphi Spinosae Semen may be potential effective compounds in the treatment of insomnia. This study revealed that Ziziphi Spinosae Semen extract treated insomnia through multiple metabolic pathways and the overall correction of metabolic disorder profile in a multi-component, multi-target, and multi-channel manner. Briefly, this study lays a foundation for further research on the mechanism of Ziziphi Spinosae Semen in treating insomnia and provides support for the development of innovative Chinese drugs for the treatment of insomnia.
Animals ; Chromatography, High Pressure Liquid ; Drugs, Chinese Herbal/chemistry* ; Metabolomics ; Network Pharmacology ; Rats ; Seeds/chemistry* ; Sleep Initiation and Maintenance Disorders/drug therapy* ; Tandem Mass Spectrometry ; Ziziphus/chemistry*

Objectives: Hand, foot and mouth disease (HFMD) is a widespread infectious disease that causes a significant disease burden on society. To achieve early intervention and to prevent outbreaks of disease, we propose a novel warning model that can accurately predict the incidence of HFMD. Methods: We propose a spatial-temporal graph convolutional network (STGCN) that combines spatial factors for surrounding cities with historical incidence over a certain time period to predict the future occurrence of HFMD in Guangdong and Shandong between 2011 and 2019. The 2011-2018 data served as the training and verification set, while data from 2019 served as the prediction set. Six important parameters were selected and verified in this model and the deviation was displayed by the root mean square error and the mean absolute error. Results: As the first application using a STGCN for disease forecasting, we succeeded in accurately predicting the incidence of HFMD over a 12-week period at the prefecture level, especially for cities of significant concern. Conclusions This model provides a novel approach for infectious disease prediction and may help health administrative departments implement effective control measures up to 3 months in advance, which may significantly reduce the morbidity associated with HFMD in the future.
China/epidemiology* ; Cities/epidemiology* ; Data Visualization ; Disease Outbreaks/statistics & numerical data* ; Forecasting/methods* ; Hand, Foot and Mouth Disease/prevention & control* ; Humans ; Incidence ; Neural Networks, Computer ; Reproducibility of Results ; Spatio-Temporal Analysis ; Time Factors

OBJECTIVE: To analyze the main factors affecting the positive results of acupuncture for chronic pain in English literature of randomized controlled trial (RCT), in order to provide reference for the design of acupuncture clinical research. METHODS: The RCTs of acupuncture for chronic pain published before March 26, 2020 were searched in PubMed, EMbase and Cochrane Library by computer. A total of 21 factors were analyzed by single-factor analysis, and the factors with statistically significant difference were selected for multivariate Logistic regression analysis. RESULTS: A total of 69 RCTs were included, including 47 RCTs (68.12%) with positive results and 22 RCTs (31.88%) with non-positive results. The multivariate Logistic regression analysis was performed with the three screened factors (publication year, treatment frequency and intervention form) selected by single-factor analysis, and the results showed that the positive results were related to the frequency of acupuncture treatment. The positive rate of RCT with frequency≥2 times a week was 3.24 times of that with frequency<2 times a week (OR=3.24, 95%CI =[1.07,9.83], P<0.05). CONCLUSION Acupuncture frequency may be the main factor affecting the positive results of RCT in English literature of acupuncture for chronic pain. More researches are needed in the future to explore the influence of acupuncture frequency on the curative effect.
Acupuncture ; Acupuncture Therapy ; Chronic Pain/therapy* ; Humans ; PubMed

OBJECTIVE: To investigate the cardioprotective effect of Danqi Tablet (DQT, ) on ischemic heart model rats and the regulative effect on energy metabolism through peroxisome proliferator-activated receptor-γ coactivator-1α (PGC-1α). METHODS: Rat ischemic heart model was induced by ligation of left anterior descending coronary artery. Totally 40 Sprague-Dawley rats were randomly divided into sham group, model group, DQT group (1.5 mg/kg daily) and trimetazidine (TMZ) group (6.3 mg/kg daily) according to a random number table, 10 rats in each group. Twenty-eight days after continuous administration, cardiac function was assessed by echocardiography and the structures of myocardial cells were observed by hematoxylin-eosin staining. The level of adenosine triphosphate (ATP) in myocardial cells was measured by ATP assay kit. Expressions level of key transcriptional regulators, including PGC-1α, Sirtuin 1 (SIRT1), AMP-activated protein kinase (AMPK), and downstream targets of PGC-1α, such as mitofusin 1 (MFN1), mitofusin 2 (MFN2) and superoxide dismutase 2 (SOD2) were measured by Western blot. Expression level of PGC-1α was examined by immunohistochemical staining. RESULTS: The rat ischemic heart model was successfully induced and the heart function in model group was compromised. Compared with the model group, DQT exerted cardioprotective effects, up-regulated the ATP production in myocardial cells and inhibited the infiltration of inflammatory cells in the margin area of infarction of the myocardial tissues (P<0.01). The expressions of PGC-1α, SIRT1 and AMPK were increased in the DQT group (all P<0.05). Furthermore, the downstream targets, including MFN1, MFN2 and SOD2 were up-regulated (P<0.05 or P<0.01). Compared with the TMZ group, the expression levels of PGC-1α, MFN1 and SOD2 were increased by DQT treatment (P<0.05 or P<0.01). CONCLUSION DQT regulated energy metabolism in rats with ischemic heart model through AMPK/SIRT1 -PGC-1α pathway. PGC-1α might serve as a promising target in the treatment of ischemic heart disease.

OBJECTIVE: To explore the influence of electroacupuncture (EA) on the expression of AMPA receptor subunit GluR1 in the rats with acute spinal cord injury (SCI) and explore the potential effect mechanism of EA in treatment of acute SCI. METHODS: A total of 80 SD rats were randomly divided into five groups, i.e. a sham-operation group, a model group, an AMPA antagonist (DNQX) group, an EA group and a DNQX+EA group, 16 rats in each group. The modified Allen's impacting method was adopted to prepare the rat model of acute SCI at T RESULTS: Compared to the sham-operation group in 6 h, 24 h and 48 h after modeling, the BBB scores were all significantly decreased in the model group ( CONCLUSION The intervention with EA at "Dazhui" and "Mingmen" promotes the repair of the injured nerve in the spinal anterior horn probably through inhibiting GluR1 expression in the spinal injured area in the rats with acute SCI.
Animals ; Electroacupuncture ; Rats ; Rats, Sprague-Dawley ; Receptors, AMPA/genetics* ; Spinal Cord ; Spinal Cord Injuries/therapy*