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

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.

Widespread utilization of glyphosate has led to environmental residues,posing potential threats to ecological systems and human health.Traditional methods for detection of glyphosate are limited by specialized equipment and operational techniques,resulting in inefficient responses.Therefore,it is urgent to develop a convenient,sensitive and accurate detection method for detection of glyphosate.Herein,a new naphthalenesulfonamide-based"Turn-on"fluorescent probe was synthesized using 2-chloroaniline and dansyl chloride as raw materials through a one-step process,which showed a good linear relationship between the glyphosate concentration in concentration range of 0.003-70 μmol/L and the fluorescence intensity(R2=0.995),with a detection limit of 2.73 nmol/L(S/N=3).Analytical techniques such as nuclear magnetic resonance(NMR)spectroscopy and high-resolution mass spectrometry(HRMS)were used to investigate the interaction mechanism between the fluorescent probe and glyphosate.The results indicated that a nucleophilic substitution reaction occurred between the probe and the secondary amine(—NH—)of glyphosate,inducing a photoinduced electron transfer(PET)effect which enhanced the fluorescence intensity by 11.2 times.The probe showed good anti-interference ability towards coexisting metal ions,anions and pesticides in water.When applied to determination of glyphosate in the samples such as tap water,river water(Xiangxi River Reservoir),soil,soybeans,and corn,the spiking recoveries ranged from 94.7％to 109.9％,demonstrating the high accuracy and broad applicability of this detection method.A portable test strip based on this fluorescent probe was developed for rapid semi-quantitative analysis of glyphosate.The developed method was rapid,sensitive,and portable,providing theoretical and technical support for on-site measurement of environmental contaminants.

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 down-regulated metabolites in sera of RIPS 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[13Cs]-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.

ObjectiveTemporal heterogeneity in lung cancer presents as fluctuations in the biological characteristics, genomic mutations, proliferation rates, and chemotherapeutic responses of tumor cells over time, posing a significant barrier to effective treatment. The complexity of this temporal variance, coupled with the spatial diversity of lung cancer, presents formidable challenges for research. This article will pave the way for new avenues in lung cancer research, aiding in a deeper understanding of the temporal heterogeneity of lung cancer, thereby enhancing the cure rate for lung cancer. MethodsRaman spectroscopy emerges as a powerful tool for real-time surveillance of biomolecular composition changes in lung cancer at the cellular scale, thus shedding light on the disease’s temporal heterogeneity. In our investigation, we harnessed Raman spectroscopic microscopy alongside multivariate statistical analysis to scrutinize the biomolecular alterations in human lung epithelial cells across various timeframes after benzo(a)pyrene exposure. ResultsOur findings indicated a temporal reduction in nucleic acids, lipids, proteins, and carotenoids, coinciding with a rise in glucose concentration. These patterns suggest that benzo(a)pyrene induces structural damage to the genetic material, accelerates lipid peroxidation, disrupts protein metabolism, curtails carotenoid production, and alters glucose metabolic pathways. Employing Raman spectroscopy enabled us to monitor the biomolecular dynamics within lung cancer cells in a real-time, non-invasive, and non-destructive manner, facilitating the elucidation of pivotal molecular features. ConclusionThis research enhances the comprehension of lung cancer progression and supports the development of personalized therapeutic approaches, which may improve the clinical outcomes for patients.

Objective To investigate the correlation of the distribution patterns of stem-branch circuit qi at birth and at conception of children with the predisposition to pediatric epilepsy.Methods A case-control study was conducted in 1 113 children with epilepsy(case group)and 2 346 non-epilepsy children(control group)who sought medical consultation in the Pediatric Outpatient Department of the First Affiliated Hospital of Tianjin University of Traditional Chinese Medicine at the same period.Chi-square test and binary logistic regression were used to analyze the circuit qi endowment of children between the two groups at conception and at birth.Results(1)The analysis of the circuit qi distribution at birth showed that there was a statistically significant difference in the distribution of dominant qi between the case group and the control group at birth(P＜0.05).The initial qi(the first circuit qi in the theory of six climatic factors)accounted for the most(215 cases,19.30％)and the sixth qi accounted for the least(145 cases,13.0％).There was no significant difference in the distribution of suiyun(yearly evolutive phase),dominant circuit(regular yearly evolutive phase),guest circuit(alterable yearly evolutive phase),guest qi(alterable yearly circuit qi)and sitian(the first half of the alterable yearly circuit qi)at birth(P＞0.05).The results of binary logistic regression analysis showed that the risk of predisposition to epilepsy in the children was increased when the children were born in the Chinese lunar year of Ren(OR=1.444,95％CI:1.055-1.975),at the initial qi(OR=1.363,95％CI:1.057-1.757)and at the fifth qi(OR=1.378,95％CI:1.065-1.783).(2)The analysis on the distribution of circuit qi at conception showed that there was no significant difference in the distribution of suiyun and sitian-zaiquan semiannual circuit qi between the case group and the control group(P＞0.05).Binary logistic regression analysis showed that the risk of predisposition to epilepsy in the children was increased when pregnancy in the suiyun of taimu-taimu(OR=1.866,95％CI:1.142-3.048)and at sitian semiannual circuit qi of shaoyang minister fire and zaiquan semiannual circuit qi of jueyin wind-wood(OR=1.672,95％CI:1.004-2.786).Conclusion There is a certain correlation between circuit qi endowment and the prevalence of pediatric epilepsy.

Objective To analyze the characteristics of adult body composition and obesity status of three ethnic groups:Ewenki,Daur and Mongolian Buryat.Methods The bioelectrical impedance analysis(BIA)was used to measure 18 body composition components in three adults ethnic groups:245(male 124,female 121)Ewenki,207(male 90,female 117)Daur,and 181(male 74,female 107)Mongolian Buryat.The data were processed using Excel 2016 and SPSS 24.0 statistical software.Results The result of correlation analysis showed that visceral fat level was significantly and positively correlated with age(P＜0.01).Stature,total body muscle mass,estimated bone mass and trunk muscle mass were all significantly and negatively correlated with age(P＜0.01)in males and females of the three ethnic groups.The percent body fat,percent left upper limb fat and percent trunk fat were positively correlated with age in Ewenki males(P＜0.05 or P＜0.01)and the percent body fat,body mass index(BMI),percent limb fat and percent trunk fat were positively correlated with age in Ewenki females(P＜0.05 or P＜0.01).Body weight,BMI,percent left upper limb fat,left upper limb muscle mass,bilateral lower limb fat and muscle mass were all negatively correlated with age in Daur males(P＜0.05 or P＜0.01).Body weight,upper limb muscle mass and left lower limb muscle mass were negatively correlated with age(P＜0.05 or P＜0.01)in Mongolian Buryat males and percent trunk fat was positively correlated with age(P＜0.05)in Mongolian Buryat females.Comparison between ethnic groups showed that most of the body composition index values of the Ewenki and Mongolian Buryat divisions were closest to each other,and the body fat content was higher than that of the Daur.BMI,percent body fat and visceral fat level were all manifested in the Mongolian Buryat Department＞Ewenki＞Daur.Cluster analysis showed that Ewenki,Daur and Mongolian Buryat were closer to the northern groups and further from the southern groups.Conclusion The Ewenki is most similar to the Mongolian Buryat in body composition characteristics all three ethnic groups has a more serious obesity problem.

Purpose To evaluate the classification criteria of triple negative breast cancer(TNBC)based on histomorphol-ogy and immunohistochemistry(IHC),and to provide theoreti-cal basis for the classification and treatment of TNBCs.Methods TNBC subtyping was performed according to the histomorphologi-cal characteristics and the expression of immune markers AR,CD8 and FOXC1,and the clinicopathological features and prog-nostic differences were compared.Results Among 93 cases of TNBC,there were 23 cases(24.7％)of luminal androgen re-ceptor subtypes,24 cases(25.8％)of immunomodulatory type,39 cases(42.0％)of basal immunosuppressive type,and 7 ca-ses(7.5％)of mesenchymal type.There were significant differ-ences in the clinicopathological features of subtypes,including pT stage(P=0.030),histological grade(P＜0.001),intersti-tial lymphocyte infiltration pattern(P＜0.001),expression of PD-L1(P＜0.001),and HER2-low(P=0.024).There was no significant difference in disease-free survival among the sub-types(P＞0.05).Univariate survival analysis showed there was significant difference in disease-free survival among the subtypes at pT1 stage(P=0.011),and other clinicopathological features were not independent prognostic factors.Conclusion The clini-copathological characteristics of TNBC subtypes are different,which are expected to be an alternative choice for complex gene expression profile analysis and to provide theoretical basis for subtypic therapy and targeted therapy.

Objective:To investigate the biological characteristics of triple negative breast cancer (TNBC) with low expression of HER2 (HER2-low).Methods:A total of 93 TNBC cases in Shanxi Cancer Hospital from 2017 to 2019 were collected and divided into HER2-negative and HER2-low groups according to HER2 expression status. The clinicopathological features and prognostic differences between the two groups were retrospectively analyzed and compared, and genetic detection of tumor tissues was performed to clarify somatic mutation status and differences between the two groups.Results:Ninety-three patients aged 26 to 86 years were enrolled, including 60 patients in the HER2-negative group and 33 patients in the HER2-low group. The distribution of HER2-low in luminal androgen receptor (LAR) subtype (14/23, 60.87%) and non-LAR subtype (19/70, 27.14%) was significantly different ( P=0.005). There were no significant differences in age, pT stage, histological grade, infiltration mode, lymph node metastasis and survival analysis. The expression of HER2-low in the tumor was heterogeneous, including different proportions of weak, weak to moderate intensity, and incomplete to intact membrane staining. With the change of the proportion of HER2-positive cells, the different distribution of those cells in the total tumor cells was noted, including cluster, mosaic and scattered patterns. The concentration and quality of DNA extracted from 71 of the 93 samples met the requirements for making libraries, including 43 in the HER2-negative group and 28 in the HER2-low group. Genetic mutations were mainly missense mutations, single nucleotide mutations, and point mutations in which base C was replaced by base T. There was no significant difference in genes with mutation frequency>3 times between the two groups. CTNNB1 and FGFR3 genes were only mutated in HER2-low group; while ALK, CYP2D6 and FAT1 genes were only mutated in HER2-negative group. HER2-low group included 18 HER2 1+ cases and 10 HER2 2+ cases. Genes with mutation frequency>3 times between the two groups included PIK3CA, TP53, SLX4, ATM and BRCA1. The mutation frequency of PIK3CA in HER2 2+ was significantly higher than that in HER2 1+ group ( P<0.05), and SLX4 gene was only mutated in HER2 1+ group. Conclusions:There are some differences of histological morphology and genetic variation between HER2-negative group and HER2-low group, and also differences in genetic variation between HER2 1+ and HER2 2+ in HER2-low group, which are helpful for more accurate stratification of TNBC and useful for finding the therapeutic target and precise treatment of HER2-low TNBC.

Objective To understand the respiratory protection competency of staff in hospitals.Methods Staff from six hospitals of different levels and characteristics in Beijing were selected,including doctors,nurses,medical technicians,and servicers,to conduct knowledge assessment on respiratory protection competency.According to exposure risks of respiratory infectious diseases,based on actual cases and daily work scenarios,content of respira-tory protection competency assessment was designed from three aspects:identification of respiratory infectious di-seases,transmission routes and corresponding protection requirements,as well as correct selection and use of masks.The assessment included 6,6,and 8 knowledge points respectively,with 20 knowledge points in total,all of which were choice questions.For multiple-choice questions,full marks,partial marks,and no mark were given respective-ly if all options were correct,partial options were correct and without incorrect options,and partial options were correct but with incorrect options.Difficulty and discrimination analyses on question of each knowledge point was conducted based on classical test theory.Results The respiratory protection competency knowledge assessment for 326 staff members at different risk levels in 6 hospitals showed that concerning the 20 knowledge points,more than 60％participants got full marks for 6 points,while the proportion of full marks for other questions was relatively low.Less than 10％participants got full marks for the following 5 knowledge points:types of airborne diseases,types of droplet-borne diseases,conventional measures for the prevention and control of healthcare-associated infec-tion with respiratory infectious diseases,indications for wearing respirators,and indications for wearing medical protective masks.Among the 20 knowledge questions,5,1,and 14 questions were relatively easy,medium,and difficult,respectively;6,1,4,and 9 questions were with discrimination levels of ≥0.4,0.30-0.39,0.20-0.29,and ≤0.19,respectively.Conclusion There is still much room for hospital staff to improve their respiratory protection competency,especially in the recognition of diseases with different transmission routes and the indications for wearing different types of masks.