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

Guided by Academician Zhang Boli's theory of "dampness， turbidity， phlegm， and fluid-related diseases"，this paper elaborated on the pathogenesis and syndrome differentiation treatment of heart failure from the perspective of the "spleen-mitochondria". It analyzed the essential similarities between "spleen-mitochondria" and "dampness， turbidity， phlegm， and fluid-related diseases"， as well as their close association with the onset of heart failure. Furthermore，it explored the connection between spleen function and mitochondrial function in traditional Chinese medicine （TCM），positing that the spleen's role in transportation and transformation is analogous to mitochondrial material metabolism and energy conversion，with spleen deficiency closely related to mitochondrial dysfunction. It thus concluded that mitochondrial material metabolism and energy conversion represent the microscopic essence of the spleen's role in transportation and transformation，and mitochondrial dysfunction is a contributing factor to pathological products like dampness and turbid phlegm，which are closely associated with the occurrence of heart failure. The four elements of dampness，turbidity，phlegm，and fluid are a series of related symptoms resulting from abnormal fluid transportation and transformation，serving as both factors in the onset of heart failure and the core pathological basis for its deterioration. Therefore，during the treatment of heart failure，it is essential to regulate mitochondrial function. Early intervention should focus on eliminating dampness and turbidity to improve mitochondrial function and restore normal energy metabolism. In the middle and late stages，emphasis should be placed on resolving phlegm，promoting blood circulation，warming Yang，and reducing water retention to alleviate mitochondrial damage and improve cardiac function. Supporting Qi and strengthening the spleen should be a continuous approach，and treatment should be adjusted to enhance mitochondrial function and stabilize the condition，thereby improving prognosis. This paper discussed the role of the spleen and mitochondria in the pathogenesis of heart failure，examined the evolution of heart failure mechanisms from the perspective of dampness， turbidity， phlegm， and fluid-related diseases，and proposed a phased treatment strategy. It enriched the theory of dampness， turbidity， phlegm， and fluid-related diseases and offered new strategies for heart failure treatment. However，in practical application，TCM strategies for treating heart failure need to be integrated with modern medical approaches to provide a more solid scientific foundation for treatment.

This study aims to reveal the effect and mechanism of Gentianella turkestanorum total extract(GTI) in ameliorating non-alcoholic steatohepatitis(NASH). UPLC-Q-TOF-MS was employed to identify the chemical components in GTI. SwissTarget-Prediction, GeneCards, OMIM, and TTD were utilized to screen the targets of GTI components and NASH. The common targets shared by GTI components and NASH were filtered through the STRING database and Cytoscape 3.9.0 to identify core targets, followed by GO and KEGG enrichment analysis. AutoDock was used for molecular docking of key components with core targets. A mouse model of NASH was established with a methionine-choline-deficient high-fat diet. A 4-week drug intervention was conducted, during which mouse weight was monitored, and the liver-to-brain ratio was measured at the end. Hematoxylin-eosin staining, Sirius red staining, and oil red O staining were employed to observe the pathological changes in the liver tissue. The levels of various biomarkers, including aspartate aminotransferase(AST), alanine aminotransferase(ALT), hydroxyproline(HYP), total cholesterol(TC), triglycerides(TG), low-density lipoprotein cholesterol(LDL-C), high-density lipoprotein cholesterol(HDL-C), malondialdehyde(MDA), superoxide dismutase(SOD), and glutathione(GSH), in the serum and liver tissue were determined. RT-qPCR was conducted to measure the mRNA levels of interleukin 1β(IL-1β), interleukin 6(IL-6), tumor necrosis factor α(TNF-α), collagen type I α1 chain(COL1A1), and α-smooth muscle actin(α-SMA). Western blotting was conducted to determine the protein levels of IL-1β, IL-6, TNF-α, and potential drug targets identified through network pharmacology. UPLC-Q-TOF/MS identified 581 chemical components of GTI, and 534 targets of GTI and 1 157 targets of NASH were screened out. The topological analysis of the common targets shared by GTI and NASH identified core targets such as IL-1β, IL-6, protein kinase B(AKT), TNF, and peroxisome proliferator activated receptor gamma(PPARG). GO and KEGG analyses indicated that the ameliorating effect of GTI on NASH was related to inflammatory responses and the phosphoinositide 3-kinase(PI3K)/AKT pathway. The staining results demonstrated that GTI ameliorated hepatocyte vacuolation, swelling, ballooning, and lipid accumulation in NASH mice. Compared with the model group, high doses of GTI reduced the AST, ALT, HYP, TC, and TG levels(P<0.01) while increasing the HDL-C, SOD, and GSH levels(P<0.01). RT-qPCR results showed that GTI down-regulated the mRNA levels of IL-1β, IL-6, TNF-α, COL1A1, and α-SMA(P<0.01). Western blot results indicated that GTI down-regulated the protein levels of IL-1β, IL-6, TNF-α, phosphorylated PI3K(p-PI3K), phosphorylated AKT(p-AKT), phosphorylated inhibitor of nuclear factor kappa B alpha(p-IκBα), and nuclear factor kappa B(NF-κB)(P<0.01). In summary, GTI ameliorates inflammation, dyslipidemia, and oxidative stress associated with NASH by regulating the PI3K/AKT/NF-κB signaling pathway.
Animals ; Non-alcoholic Fatty Liver Disease/genetics* ; Mice ; Network Pharmacology ; Male ; Drugs, Chinese Herbal/administration & dosage* ; Chromatography, High Pressure Liquid ; Liver/metabolism* ; Mice, Inbred C57BL ; Humans ; Mass Spectrometry ; Tumor Necrosis Factor-alpha/metabolism* ; Disease Models, Animal ; Molecular Docking Simulation

Objective To develop a machine learning-based risk prediction model for postoperative acute kidney injury(AKI)and a model for mortality in obese patients admitted to intensive care unit(ICU)in order to improve early warning and prognostic evaluation to support clinical decision-making.Methods Data of obese postoperative ICU patients were retrospectively retrieved from the MIMIC-Ⅳ and eICU databases for statistical analysis.Ultimately,2 520 patients(670 from MIMIC-Ⅳ and 1 850 from eICU databases)were included to build the risk prediction models for AKI and mortality.The data included demographic information,vital signs,laboratory findings,surgical types,comorbidities,and medication use.After data cleaning and preprocessing,Boruta feature selection was applied,followed by the construction of prediction models using 7 machine learning algorithms,that is,Gradient Boosting Machine(GBM),Generalized Linear Model(GLM),k-Nearest Neighbors(KNN),Na?ve Bayes(NB),Neural Network(NNET),Support Vector Machine(SVM),and XGBoost.Model performance was evaluated through cross-validation and external validation.Results In the risk prediction models of AKI,the SVM model achieved the highest AUC value of 0.80 in the testing set and 0.71 in the external validation test.For the risk prediction models of mortality,the GBM model outperformed others in the prediction,attaining an AUC value of 0.91 in the testing set.Conclusion Risk predictive models for postoperative AKI and mortality in obese ICU patients are successfully constructed,and are valuable tools for clinicians to optimize early intervention and improve clinical outcomes for the patients.

Bongkrekic acid(BA)is a toxin with stable properties and no distinctive smell.It exists in common foods such as fermented edible grain products,potato products,spoiled tremella fuciformis and auricularia polytricha,as well as auricularia polytricha that has been soaked too long.It can easily cause food poisoning.At present,there is still a lack of complete method to detect BA,and no spe-cific antidote of BA has been found.Therefore,BA poisoning is easy to be misdiagnosed or missed diagnosed,and its mortality rate remains high.In recent years,studies have revealed the toxic mecha-nism of BA and found that BA can inactivate some enzymes containing thiol groups(-SH)and in-hibit the synthesis and transport of adenosine triphosphate(ATP),causing damage to liver,kidney,brain and other parenchymal organs.This article reviews the autopsy cases and literature of deaths caused by BA poisoning at home and abroad,systematically summarizes the epidemiology,clinical manifestations,pathological changes,toxicological mechanisms,detection methods,forensic diagnostic key points and challenges of BA in forensic medicine,with the aim of providing a reference for foren-sic identification of related cases.

AIM:To examine the effects of borneol on inflammation and myocardial remodeling after myocar-dial infarction(MI)in mice,and to investigate the underlying mechanisms.METHODS:Eight-week-old wild-type(WT)C57BL/6 mice and transient receptor potential cation channel subfamily M member 8(TRPM8)gene knockout(TRPM8-/-)mice were randomly divided into sham and MI groups,and were subsequently treated with normal saline(control group)or borneol(borneol group)via gavage.Survival curves were plotted for WT and TRPM8-/-mice with MI treated with or with-out borneol.After 28 d,cardiac function of the mice was assessed through echocardiography,and haemodynamic indexes were evaluated using a multi-channel physiological instrument.Infarct size,myocardial hypertrophy and interstitial fibro-sis were assessed via pathological staining.In addition,inflammatory response in the peri-infarct region was detected.RE-SULTS:The TRPM8 expression was up-regulated in the peri-infarct region of the mice with MI(P＜0.05),and borneol had no effect on TRPM8 expression(P＞0.05).Borneol increased the survival rate,reduced the infarct size,inhibited car-diac remodeling and improved cardiac function in WT mice with MI(P＜0.05 or P＜0.01).However,it did not affect the survival rate,infarct size,myocardial hypertrophy,myocardial fibrosis or cardiac function in TRPM8-/-mice(P＞0.05).Furthermore,borneol reduced inflammatory cell infiltration and the expression of inflammatory cytokines,tumor necrosis factor-α(TNF-α),interleukin-1β(IL-1β),IL-6 and monocyte chemotactic protein-1(MCP-1),in WT mice(P＜0.05 or P＜0.01)but not in TRPM8-/-mice(P＞0.05).CONCLUSION:Borneol attenuates inflammation,inhibits cardiac re-modeling and improves cardiac function in mice with MI via TRPM8.

BACKGROUND:Heterotopic ossification of skeletal muscle is a clinically serious complication.For heterotopic ossification of skeletal muscles,the cells involved in the process of heterotopic ossification remain unclear. OBJECTIVE:To investigate the involvement of myocytes,fascia cells,and endothelial cells in the process of heterotopic ossification in skeletal muscle and to observe the cell origin of heterotopic ossification in skeletal muscle induced by bone morphogenetic protein 4. METHODS:Both C2C12 cells and the myotubes formed by the C2C12 cells in the induction medium were cultured,and 500 ng/mL bone morphogenetic protein 4 was added to the medium respectively,and whether the C2C12 cells and myotubes continued to proliferate within 10 days under the treatment were observed under a microscope.Myogenic cells(L6,derived from rats)and fibroblast-derived cells(derived from human)were co-cultured.After treatment with 500 ng/mL bone morphogenetic protein 4 and 10 ng/mL transforming growth factor-β,osteogenic and chondrogenic differentiation potential within 21 days were observed using Safranine O staining and Alcian blue staining.Using transgenic animal FVB/N-TgN(TIE2-LacZ)182Sato mice,15 μL of adeno-associated virus-bone morphogenetic protein 4(5×1010 PFU/mL)were implanted in the thigh muscle space of genetic mice for 10 and 14 days.X-gal staining was used to observe the formation of new blood vessel endothelium in the differentiated bone. RESULTS AND CONCLUSION:(1)Bone morphogenetic protein 4 caused myotube breakdown and increased C2C12 cell proliferation.Compared with other groups,the pure fibroblast-derived cell group had a higher area of positive alcian blue and safarin O staining(P<0.05)and a lower area of alkaline phosphatase staining(P<0.05),while the pure L6 group had a bigger area of alkaline phosphatase staining(P<0.05)but a smaller area of positive alcian blue and safarin O staining(P<0.05).(2)Transplantation of adeno-associated virus-bone morphogenetic protein 4-adsorbed gelatin sponge into FVB/N-TgN(TIE2-LacZ)182Sato mice resulted in heterotopic ossification.(3)X-gal staining results demonstrated that there was no obvious staining in chondrocytes and differentiated bones and Tie2+ endothelial cells did not participate in the formation of the alienated bone.(4)These findings verify that fibroblasts are the primary source of osteoblasts during the adeno-associated virus-bone morphogenetic protein 4-induced ectopic endochondral ossification in skeletal muscle,but myogenic cells are the main source of osteoblasts.Tie2+ endothelial cells might not be the cell source for cartilage and bone.

The combination of sourness,bitterness,sweetness,pungency,and saltness results in different effects.Through the analysis of the theory of combining five flavours in Fu Qingzhu's Obstetrics and Gynecology,this article explores its application in formulation ideas and the characteristics of Chinese medication,summarized as"primarily sweet,with all four flavors harmonized".FU Qingzhu emphasizes the central role of sweet-flavour medicine in facilitating conception,while incorporating the other four flavours in synergy.For instance,sweet and pungent flavours can boost yang energy,eliminating chilliness and warming the uterus;sour and sweet flavours can nourish yin essence and protect the uterus;bitter and sweet flavours can tonify yin,supporting the kidneys and moistening the uterus;and pungent and salty flavours can eliminate stasis,regenerate blood,and enhance uterine functions.By flexibly utilizing the flavours and meridian affinity of traditional Chinese medicine,along with the theory of combining five flavours,it is possible to enhance drug compatibility,deepen the theoretical connotation of Chinese formulas,and regulate the uterus from both yin and yang aspects to facilitate conception.FU Qingzhu's integration of multiple Chinese formulas into a single formula allows for comprehensive treatment.Clear differentiation of dosages within the formula highlights the primary and secondary relationships of traditional Chinese medicines.Additionally,the utilization of pharmaceutical processing techniques optimizes efficacy and regulates meridians and collaterals.This article explores FU Qingzhu's application of the"pure and harmonious traditional Chinese medicines"theory.His prescription thinking enables the attainment of multi-level therapeutic effects,which greatly benefits the optimization of traditional Chinese medicine fertility assistance programs and increases pregnancy rates among infertility patients.

Aim To study the effect of menthol on hypobaric hypoxia-induced pulmonary arterial hypertension and explore the underlying mechanism in mice. Methods 10 to 12 weeks old wild type (WT) mice and TRPM8 gene knockout (TRPM8