Background: Chinese herbal pieces are an essential component of traditional Chinese medicine. Accurate identification and classification of these materials are crucial in clinical practice. Objective: This study aims to enhance the recognition efficiency of Chinese herbal pieces using deep learning technology, while addressing the limitations of traditional manual classification methods in terms of both quality and efficiency. Methods: A comprehensive dataset containing 201 types of Chinese herbal pieces was established. Based on Real-time Detection Transformer (RT-DETR), we designed and integrated a Feature-focused Diffusion Network (FDN), resulting in an improved model termed RT-DETR-FDN. The proposed FDN includes a Feature-focus Module and a feature diffusion mechanism, enabling the model to capture more extensive feature information from Chinese herbal pieces and diffuse it across multiple detection scales. Results: Experimental results show that RT-DETR-FDN achieved a precision of 0.925, a recall of 0.943, and an mAP50-95 of 0.851. In addition, the model was compared with representative You Only Look Once series models commonly used in object detection. Compared with these models, RT-DETR-FDN achieved higher recognition accuracy while maintaining a lightweight architecture. Conclusion: This study integrates deep learning with traditional Chinese medicine, providing a more effective solution for the recognition of Chinese herbal pieces.

ObjectiveThis paper aims to clarify the material basis of Gualou Niubangtang and establish a quantitative analysis method for its main constituents， providing a reference for the overall quality control of this preparation. MethodsThe constituents in the formula were systematically characterized based on ultra-performance liquid chromatography-quadrupole time-of-flight tandem mass spectrometry （UPLC-Q-TOF-MS/MS）. Identification was performed by matching with the UNIFI 9.6 software and utilizing database platforms such as PubChem， ChemicalBook， and ChemSpider， combined with relevant literature reports. A quantitative analysis method for the seven main constituents in Gualou Niubangtang was established by using high performance liquid chromatography （HPLC）. ResultsUPLC-Q-TOF-MS/MS analysis identified 155 constituents， including 69 flavonoids， 36 terpenoids， 23 phenylpropanoids， 8 phenylethanoid glycosides， and 19 other types of constituents. In the established quantitative analysis method， the seven main constituents showed good linearity within their respective linear ranges. The precision， repeatability， stability， and spike recovery all met the required standards. The results showed that the content ranges of geniposide， liquiritin， hesperidin， arctiin， baicalin， oroxylin A-7-O-β-D-glucuronide， and wogonoside in 15 batches of Gualou Niubangtang were 13.67-21.25， 1.20-7.64， 5.45-7.45， 22.97-33.51， 29.95-39.07， 2.58-4.80， and 6.56-9.31 mg·g^-1， respectively. ConclusionThis study successfully characterizes and attributes multi-category constituents in Gualou Niubangtang， clarifying that its material basis is primarily composed of flavonoids， terpenoids， phenylethanoid glycosides， and phenylpropanoids. Furthermore， it enables the quantification of seven constituents within the formula. This work lays a foundation for research on the quality control， action mechanism， and clinical application of this formula.

Accurate characterization of the chemical composition of complex traditional Chinese medicine(TCM)is an essential foundation for the modern scientific interpretation of TCM principles.Mass spectrometry is the most dominant technique in current research on the material basis of TCM,offering the highest sensitivity and the richest information provision.Establishing mass spectrometry databases represents the most effective approach to facilitating the structural analysis of TCM chemical components.This paper systematically searches and reviews literature published from January 2005 to January 2025 through online databases such as China National Knowledge Infrastructure,PubMed,and Web of Science,using"mass spectrometry database"and"traditional Chinese medicine"as keywords.It reviews the current status of seven TCM chemical component mass spectrometry databases and seven natural product mass spectrometry databases.The key advancements of these mass spectrometry databases for natural products are summarized,detailing their characteristics,search methodologies,included information,and data sources.Additionally,challenges related to data quality,standardization,timely updates,database interaction,retrieval functionality,and data sharing and security are discussed in depth.Furthermore,the paper explores prospective development directions for TCM mass spectrometry databases,emphasizing the importance of open data sharing,technological innovation,and data security.Through this analysis,the paper aims to offer theoretical guidance and practical recommendations for the precise identification of TCM components,as well as for the construction and application of these databases.

Accurate characterization of the chemical composition of complex traditional Chinese medicine(TCM)is an essential foundation for the modern scientific interpretation of TCM principles.Mass spectrometry is the most dominant technique in current research on the material basis of TCM,offering the highest sensitivity and the richest information provision.Establishing mass spectrometry databases represents the most effective approach to facilitating the structural analysis of TCM chemical components.This paper systematically searches and reviews literature published from January 2005 to January 2025 through online databases such as China National Knowledge Infrastructure,PubMed,and Web of Science,using"mass spectrometry database"and"traditional Chinese medicine"as keywords.It reviews the current status of seven TCM chemical component mass spectrometry databases and seven natural product mass spectrometry databases.The key advancements of these mass spectrometry databases for natural products are summarized,detailing their characteristics,search methodologies,included information,and data sources.Additionally,challenges related to data quality,standardization,timely updates,database interaction,retrieval functionality,and data sharing and security are discussed in depth.Furthermore,the paper explores prospective development directions for TCM mass spectrometry databases,emphasizing the importance of open data sharing,technological innovation,and data security.Through this analysis,the paper aims to offer theoretical guidance and practical recommendations for the precise identification of TCM components,as well as for the construction and application of these databases.

Objective:To observe the clinical effect of aripiprazole combined with non-convulsive electroshock(MECT)for children and adolescents with first episode schizophrenia.Methods:94 children and adolescents with first episode schizophrenia who were admitted to Yiling Kangning Mental Hospital of Yichang from August 2022 to August 2024 were divided into control group(received aripiprazole,n=47)and study group(received aripiprazole combined with MECT,n=47)by using random number table method.The clinical efficacy,dysfunction scale[Positive and Negative Symptom Scale(PANSS),Montreal Cognitive Assessment Scale(MoCA),Wechsler Memory Scale(WMS)],glucose and lipid metabolism indexes[low density lipoprotein cholesterol(LDL-C),glycated hemoglobin(HbAlc),total cholesterol(TC),fasting blood glucose(FBG),High density lipoprotein cholesterol(HDL-C),inflammatory factor indexes[interleukin-1β(IL-1β),tumor necrosis factor-α(TNF-α),interleukin-6(IL-6)],neurocytokine levels[serum brain-derived neurotrophic factor(BDNF),s100βprotein(s100β),homocysteine(Hcy)]and the occurrence of adverse reactions were compared between the two groups.Results:Compared with the control group after treatment,the clinical total effective rate,MoCA,WMS score,HDL-C,BDNF were higher,PANSS score,HbAlc,FBG,TC,LDL-C,TNF-α,IL-1β,IL-6,s100β and Hcy were lower in the study group(P＜0.05).There was no difference in the incidence of adverse reactions between the two groups(P＞0.05).Conclusion:Aripiprazole combined with MECT in the treatment of in children and adolescents with first episode schizophrenia can reduce the degree of inflammation,regulate glucose and lipid metabolism,improve clinical symptoms and neurological function of children,with good safety.

This article systematically reviews and verifies the medicinal materials of Dioscoreae Hypoglaucae Rhizoma（DHR）， Dioscoreae Spongiosae Rhizoma（DSR）， Smilacis Chinae Rhizoma（SCR） and Smilacis Glabrae Rhizoma（SGR） from the aspects of name， origin， producing area， quality， harvesting， processing and efficacy by consulting historical literature， in order to provide reference for the development and utilization of famous classical formulas containing the four medicinal materials. DHR， DSR， SCR and SGR have a long history of application as medicinal materials. However， due to their similar growth environment and medicinal properties， as well as their functions of promoting dampness， dispelling wind and removing numbness， there have been instances of homonymous foreign objects and homonymous synonyms throughout history， resulting in confusion of the origin. Therefore， it is necessary to conduct comparative analysis and systematic research for clarifying the historical development and changes of the four， in order to provide a basis for safe and effective medication. According to research， Bixie was first recorded in Shennong Bencaojing and has been historically known as Baizhi， Chijie， Zhumu， and other aliases. From ancient times to the mid-20th century， there has always been a situation where the rhizomes of Dioscorea plants and Smilax plants， and even the rhizomes of Heterosmilax plants， were mixed together to be used as medicinal herbs for Bixie. However， since the Tang dynasty， it has been clearly advocated that the rhizomes of Dioscorea plants have excellent quality and have been the mainstream throughout history. The 2020 edition of Chinese Pharmacopoeia categorized it into two types of medicinal herbs（DHR and DSR）. Among them， the origin of DHR is the dry rhizomes of Dioscorea hypoglauca， and the origins of DSR are the dry rhizomes of D. spongiosa and D. futschauensis. In ancient times， due to different types， the corresponding production areas of DHR and DSR were also different. Nowadays， They are mainly produced in the southern region of the Yangtze River. Since the Tang dynasty， the quality of Bixie has been characterized by its white color and soft nature. In modern times， it has been summarized that those with white color， large and thin pieces， powdery texture， tough and elastic texture， and neat and unbreakable are the best. The harvesting times of DHR and DSR are in spring or autumn， with the best quality harvested in autumn. The mainstream processing methods of them are slicing and then using the raw products or wine-processed products. SCR was first recorded in Mingyi Bielu and has been known as Jinganggen， Tielingjiao， Tieshuazi， and other aliases in history. The mainstream source is the dry rhizomes of Smilax china in the past dynasties， with the best quality being those that are tough and rich in powder. The harvesting time is from the late autumn to the following spring， and the main processing method throughout history has been slicing for raw use. SGR was first recorded under the item of Yuyuliang in Variorum of Shennong's Classic of Materia Medica. It was listed as an independent medicinal material from Bencao Gangmu. In history， there were such aliases as Cao Yuyuliang， Lengfantuan， Xianyiliang， Tubixie， etc. The main source of the past dynasties was dry rhizomes of S. glabra. In history， there have also been instances of multiple plants belonging to the same genus， and even cases of mixing the rhizomes of plants in the genus Heterosmilax. It is mainly produced in Guangdong， Hunan， Hubei， Zhejiang， Sichuan， Anhui and other regions， its quality has been summarized as large in size， powdery in texture， with few veins， and light brown in cross-section since modern times. The harvesting time is in spring or autumn， and the main processing method throughout history has been slicing for raw use. DHR， DSR， SCR and SGR all have the effects of promoting dampness， dispelling wind， relieving rheumatism and detoxifying. However， their detoxification abilities are ranked as follows：SGR>SCR>Bixie（DHR and DSR）. Especially for the treatment of limb spasms， arthralgia and myalgia， scrofula， and scabies caused by syphilis and mercury poisoning， SGR has a unique effect. Based on the research results， DHR is recommended to develop the famous classical formulas containing Bixie as the first choice for medicinal herbs. It should be harvested in autumn， sliced thinly while fresh， and processed according to the requirements of the famous classical formulas， without any requirements for raw use. Selecting the rhizomes of S. china， harvested in late autumn， and thinly sliced while fresh. If there are no special processing requirements in the formulas， use it raw. Selecting the rhizomes of S. glabra， it is harvested in autumn and thinly sliced while fresh. If there are no special processing requirements in the formulas， raw products can be used.

Background: Viral hepatitis causes annual deaths of 1.4 million people. Antiviral therapy rarely cures the disease, and patients are usually required to maintain lifelong medication, leading to cumulative drug toxicity. Schisandrae Fructus (SF) is efficacious in the treatment of viral hepatitis. Objective: The systematic review and meta-analysis aim to examine the efficacy and safety of SF alone or in combination with specific and nonspecific treatments for treating viral hepatitis by analyzing the clinical trials performed up to date. Methods: An extensive literature was searched in 7 databases from inception to May 2023. Final outcomes were divided into the primary outcomes containing the total effective rate and virological responses, as well as the secondary outcomes containing liver biochemical functions and frequencies of adverse events. RevMan 5.3 and GRADE pro 3.6 software were used for meta-analysis and assessment of evidence quality. Subgroup analysis was conducted to explore the source of the heterogeneity. Results: Twenty-nine randomized controlled trials were included in the meta-analysis. SF treatment was comparable with western medicines or other traditional Chinese treatments in terms of primary and secondary outcomes. In combination with specific treatments with antiviral medicines, SF group reduced 18.45 U/L of alanine aminotransferase levels [weighted mean difference: 18.45, 95% confidence interval (CI): (16.12, 20.78), p < 0.000 01] and 8.37 U/L of aspartate aminotransferase levels [weighted mean difference: 8.37, 95% CI: (1.25, 15.48), p = 0.02], and it decreased the levels of hyaluronic acid (HA) [standard mean difference (SMD): 0.92, 95% CI: (0.58, 1.27), p < 0.000 01], laminin (LN) [SMD: 0.64, 95% CI: (0.38, 0.90), p < 0.000 01], and procollagen type III [SMD: 0.48, 95% CI: (0.28, 0.67), p < 0.000 01], while increasing the total effective rate by 24% [risk ratio: 1.24, 95% CI: (1.15, 1.32), p < 0.000 01]. There were no severe adverse events during treatment. Conclusions: SF was a potential adjuvant for antiviral therapy in restoring liver function. However, the poor quality of the included randomized controlled trials limited the recommendations. More long-term, randomized, and double-blind studies should be performed to assess the efficacy and safety of combination therapy.

Background: Viral hepatitis causes annual deaths of 1.4 million people. Antiviral therapy rarely cures the disease, and patients are usually required to maintain lifelong medication, leading to cumulative drug toxicity. Schisandrae Fructus (SF) is efficacious in the treatment of viral hepatitis. Objective: The systematic review and meta-analysis aim to examine the efficacy and safety of SF alone or in combination with specific and nonspecific treatments for treating viral hepatitis by analyzing the clinical trials performed up to date. Methods: An extensive literature was searched in 7 databases from inception to May 2023. Final outcomes were divided into the primary outcomes containing the total effective rate and virological responses, as well as the secondary outcomes containing liver biochemical functions and frequencies of adverse events. RevMan 5.3 and GRADE pro 3.6 software were used for meta-analysis and assessment of evidence quality. Subgroup analysis was conducted to explore the source of the heterogeneity. Results: Twenty-nine randomized controlled trials were included in the meta-analysis. SF treatment was comparable with western medicines or other traditional Chinese treatments in terms of primary and secondary outcomes. In combination with specific treatments with antiviral medicines, SF group reduced 18.45 U/L of alanine aminotransferase levels [weighted mean difference: 18.45, 95% confidence interval (CI): (16.12, 20.78), p < 0.000 01] and 8.37 U/L of aspartate aminotransferase levels [weighted mean difference: 8.37, 95% CI: (1.25, 15.48), p = 0.02], and it decreased the levels of hyaluronic acid (HA) [standard mean difference (SMD): 0.92, 95% CI: (0.58, 1.27), p < 0.000 01], laminin (LN) [SMD: 0.64, 95% CI: (0.38, 0.90), p < 0.000 01], and procollagen type III [SMD: 0.48, 95% CI: (0.28, 0.67), p < 0.000 01], while increasing the total effective rate by 24% [risk ratio: 1.24, 95% CI: (1.15, 1.32), p < 0.000 01]. There were no severe adverse events during treatment. Conclusions: SF was a potential adjuvant for antiviral therapy in restoring liver function. However, the poor quality of the included randomized controlled trials limited the recommendations. More long-term, randomized, and double-blind studies should be performed to assess the efficacy and safety of combination therapy.

Background: Viral hepatitis causes annual deaths of 1.4 million people. Antiviral therapy rarely cures the disease, and patients are usually required to maintain lifelong medication, leading to cumulative drug toxicity. Schisandrae Fructus (SF) is efficacious in the treatment of viral hepatitis. Objective: The systematic review and meta-analysis aim to examine the efficacy and safety of SF alone or in combination with specific and nonspecific treatments for treating viral hepatitis by analyzing the clinical trials performed up to date. Methods: An extensive literature was searched in 7 databases from inception to May 2023. Final outcomes were divided into the primary outcomes containing the total effective rate and virological responses, as well as the secondary outcomes containing liver biochemical functions and frequencies of adverse events. RevMan 5.3 and GRADE pro 3.6 software were used for meta-analysis and assessment of evidence quality. Subgroup analysis was conducted to explore the source of the heterogeneity. Results: Twenty-nine randomized controlled trials were included in the meta-analysis. SF treatment was comparable with western medicines or other traditional Chinese treatments in terms of primary and secondary outcomes. In combination with specific treatments with antiviral medicines, SF group reduced 18.45 U/L of alanine aminotransferase levels [weighted mean difference: 18.45, 95% confidence interval (CI): (16.12, 20.78), p < 0.000 01] and 8.37 U/L of aspartate aminotransferase levels [weighted mean difference: 8.37, 95% CI: (1.25, 15.48), p = 0.02], and it decreased the levels of hyaluronic acid (HA) [standard mean difference (SMD): 0.92, 95% CI: (0.58, 1.27), p < 0.000 01], laminin (LN) [SMD: 0.64, 95% CI: (0.38, 0.90), p < 0.000 01], and procollagen type III [SMD: 0.48, 95% CI: (0.28, 0.67), p < 0.000 01], while increasing the total effective rate by 24% [risk ratio: 1.24, 95% CI: (1.15, 1.32), p < 0.000 01]. There were no severe adverse events during treatment. Conclusions: SF was a potential adjuvant for antiviral therapy in restoring liver function. However, the poor quality of the included randomized controlled trials limited the recommendations. More long-term, randomized, and double-blind studies should be performed to assess the efficacy and safety of combination therapy.

A strategy combining a tailored database and high-throughput activity screening that discover bioactive metabolites derived from Magnoliae Officinalis Cortex(MOC)was developed and implemented to rapidly profile and discover bioactive metabolites in vivo derived from traditional Chinese medicine(TCM).The strategy possessed four characteristics:1)The tailored database consisted of metabolites derived from big data-originated reference compound,metabolites predicted in silico,and MOC chemical profile-based pseudomolecular ions.2)When profiling MOC-derived metabolites in vivo,attentions were paid not only to prototypes of MOC compounds and metabolites directly derived from MOC compounds,as reported by most papers,but also to isomerized metabolites and the degradation products of MOC compounds as well as their derived metabolites.3)Metabolite traceability was performed,especially to distinguish isomeric prototypes-derived metabolites,prototypes of MOC compounds as well as phase Ⅰ metabolites derived from other MOC compounds.4)Molecular docking was utilized for high-throughput activity screening and molecular dynamic simulation as well as zebrafish model were used for verification.Using this strategy,134 metabolites were swiftly characterized after the oral administration of MOC to rats,and several metabolites were reported for the first time.Furthermore,17 potential active metabolites were discovered by targeting the motilin,dopamine D2,and the serotonin type 4(5-HT4)receptors,and part bioactivities were verified using molecular dynamic simulation and a zebrafish constipation model.This study extends the application of mass spectrometry(MS)to rapidly profile TCM-derived metabolites in vivo,which will help pharmacologists rapidly discover potent metabolites from a complex matrix.