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

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Ursodeoxycholic acid (UDCA) is a naturally occurring, low-toxicity, and hydrophilic bile acid (BA) in the human body that is converted by intestinal flora using primary BA. Solute carrier family 7 member 11 (SLC7A11) functions to uptake extracellular cystine in exchange for glutamate, and is highly expressed in a variety of human cancers. Retroperitoneal liposarcoma (RLPS) refers to liposarcoma originating from the retroperitoneal area. Lipidomics analysis revealed that UDCA was one of the most significantly downregulated metabolites in sera of RLPS patients compared with healthy subjects. The augmentation of UDCA concentration (≥25 μg/mL) demonstrated a suppressive effect on the proliferation of liposarcoma cells. [¹⁵N₂]-cystine and [¹³C₅]-glutamine isotope tracing revealed that UDCA impairs cystine uptake and glutathione (GSH) synthesis. Mechanistically, UDCA binds to the cystine transporter SLC7A11 to inhibit cystine uptake and impair GSH de novo synthesis, leading to reactive oxygen species (ROS) accumulation and mitochondrial oxidative damage. Furthermore, UDCA can promote the anti-cancer effects of ferroptosis inducers (Erastin, RSL3), the murine double minute 2 (MDM2) inhibitors (Nutlin 3a, RG7112), cyclin dependent kinase 4 (CDK4) inhibitor (Abemaciclib), and glutaminase inhibitor (CB839). Together, UDCA functions as a cystine exchange factor that binds to SLC7A11 for antitumor activity, and SLC7A11 is not only a new transporter for BA but also a clinically applicable target for UDCA. More importantly, in combination with other antitumor chemotherapy or physiotherapy treatments, UDCA may provide effective and promising treatment strategies for RLPS or other types of tumors in a ROS-dependent manner.

α-thalassemia is a type of microcytic hypochromic anemia caused by variants of alpha-globin gene, and is one of the most common monogenic disorders in southern China. The population screening model based on hematologic phenotype has achieved great results in areas with high incidence of thalassemia. However, with the continuous decline of the cost of genetic testing and implementation of screening programs for thalassemia gene carriers, more variants in the alpha-globin gene have been discovered, which also brings great challenges to clinical genetic counseling. From the perspective of alpha-globin genetic analysis, this consensus has discussed the contents of pre- and post-test genetic counseling, with an aim to provide standardized guidance for clinicians.

Endodontic diseases are a kind of chronic infectious oral disease.Common endodontic treatment concepts are based on the removal of inflamed or necrotic pulp tissue and the replacement by gutta-percha.However,it is very essential for endodontic treatment to debride the root canal system and prevent the root canal system from bacterial reinfection after root canal therapy(RCT).Recent research,encompassing bacterial etiology and advanced imaging techniques,contributes to our understanding of the root canal system's anatomy intricacies and the technique sensitivity of RCT.Success in RCT hinges on factors like patients,infection severity,root canal anatomy,and treatment techniques.Therefore,improving disease management is a key issue to combat endodontic diseases and cure periapical lesions.The clinical difficulty assessment system of RCT is established based on patient conditions,tooth conditions,root canal configuration,and root canal needing retreatment,and emphasizes pre-treatment risk assessment for optimal outcomes.The findings suggest that the presence of risk factors may correlate with the challenge of achieving the high standard required for RCT.These insights contribute not only to improve education but also aid practitioners in treatment planning and referral decision-making within the field of endodontics.

Objective To investigate the attributable risk(AR)of Acinetobacter baumannii(AB)infection in criti-cally ill patients.Methods A multicenter retrospective cohort study was conducted among adult patients in inten-sive care unit(ICU).Patients with AB isolated from sterile body fluid and confirmed with AB infection in each cen-ter were selected as the infected group.According to the matching criteria that patients should be from the same pe-riod,in the same ICU,as well as with similar APACHE Ⅱ score(±5 points)and primary diagnosis,patients who did not infect with AB were selected as the non-infected group in a 1:2 ratio.The AR was calculated.Results The in-hospital mortality of patients with AB infection in sterile body fluid was 33.3％,and that of non-infected group was 23.1％,with no statistically significant difference between the two groups(P=0.069).The AR was 10.2％(95％CI:-2.3％-22.8％).There is no statistically significant difference in mortality between non-infected pa-tients and infected patients from whose blood,cerebrospinal fluid and other specimen sources AB were isolated(P＞0.05).After infected with AB,critically ill patients with the major diagnosis of pulmonary infection had the high-est AR.There was no statistically significant difference in mortality between patients in the infected and non-infec-ted groups(P＞0.05),or between other diagnostic classifications.Conclusion The prognosis of AB infection in critically ill patients is highly overestimated,but active healthcare-associated infection control for AB in the ICU should still be carried out.

AIM To study the chemical constituents from Ganoderma angustisporum J.H.Xing,B.K.Cui&Y.C.Dai and their α-glucosidase inhibitory activities.METHODS The ethyl acetate extract from G.angustisporum was isolated and purified by silica gel,ODS,TLC and HPLC,then the structures of obtained compounds were identified by physicochemical properties and spectral data.pNPG method was used to evaluate their α-glucosidase inhibitory activities.RESULTS Seven compounds were isolated and identified as N-acetyl-L-phenylalanine ethyl ester(1),N-acetyl-L-phenylalanine methyl ester(2),4-hydroxy-17R-methylincisterol(3),6,8-di-O-methylaverufin(4),aversin(5),methyl 2-(4-hydroxyphenyl)aceate(6),5-toluene-1,3-diol(7).Compounds 1-2,4-7 showed inhibitory activities of α-glucosidase with IC50 values being(33.80±0.47),(45.45±7.95),(48.80±5.86),(39.48±2.82),(41.47±6.68),(55.38±10.12)μmol/L,and compound 1 showed good inhibitory activity.CONCLUSION Compound 1 is a new natural product.Compounds 2-7 are isolated from genus Ganoderma for the first time.Compounds 1-2,4-7 have α-glucosidase inhibitory activities.

Objective To establish a high performance liquid chromatography-tandem mass spectrometry(HPLC-MS/MS)method for simultaneous determination of meropenem,linezolid,voriconazole and posaconazole in children with small volume of plasma,and to use the method in children therapeutic drug monitoring(TDM).Methods The plasma samples were precipitated protein by methanol.And then,the analytes were gradient eluted on an EVO-C18 column by HPLC-MS/MS with mobile phase consisted of water(0.1％formic acid)-acetonitrile(0.1％formic acid)at the flow rate of 0.5 mL·min 1.Ions were monitored in the multiple reaction monitoring(MRM)mode,using positive ion electrospray ionization(ESI).Results Meropenem had a good liner relationship in 0.5-64.0 μg·mL-1(r=0.999 2),0.2-25.6 μg·mL-1 for linezolid and voriconazole(r=0.999 2,r=0.999 9),and 0.1-12.8 μg·mL-1 for posaconazole(r=0.998 9).Accuracy,precision,matrix effect and stability studies all met the requirements.This method was fully verified,and applied to determine the plasma antimicrobial concentrations of 49 pediatric patients.Conclusion The method is simple,rapid,sensitive and suitable for children's plasma concentration monitoring of four antimicrobials.

Objective To establish an indirect enzyme-linked immunosorbent assay(ELISA)method for testing the concentration of a monoclonal antibody target tumor necrosis factor-α(TNF-α)in animal serum.Methods The critical parameters of the method including coating concentration of human TNF-α,source,concentration and stability of HRP-labeled goat anti-human immunoglobulin G(IgG)were investigated.The specificity,accuracy,precision,linearity and Limited of Determination of the method were investigated.Results The critical parameters of the method were confirmed as below:TNF-α was coated at 400 ng·mL-1;HRP labeled goat anti-human IgG antibody was diluted at 1:3.0 ×105;the diluted horseradish peroxidase labeled goat anti-human IgG antibody is well stored at 4 ℃ for 3 days.Meanwhile the method was confirmed to have good specificity,the recovery rate ranged from 84.00％to 106.82％,the coefficient of variation of different antibody concentration levels were no more than 10％;the method had a good linearity and the standard curve was y=(-8.37×103-2.37 × 106)/[1+(x/29.80)106]+2.37 × 106(R2=0.999);the limit of quantification was 1 ng·mL-1,all of which met the requirements.Conclusion A accurate and robust ELISA method was developed to test the concentration of anti-TNF-α monoclonal antibody in serum.