ObjectiveThis study aims to develop a prediction model for the compatibility of Chinese medicinal pairs based on Graph Convolutional Networks （GCN）， named HC-GCN. The model integrates the properties of herbs with modern pharmacological mechanisms to predict pairs with specific therapeutic effects. It serves as a demonstration by applying the model to predict and validate the efficacy of blood-activating herb pairs. MethodsThe training dataset for herb pair prediction was constructed by systematically collecting commonly used herb pairs along with their characteristic data， including Qi， flavor， meridian tropism， and target genes. Integrating traditional characteristics of herb with modern bioinformatics， we developed an efficacy-oriented herb pair compatibility prediction model （HC-GCN） using graph convolutional networks （GCN）. This model leverages machine learning to capture the complex relationships in herb pair compatibility， weighted by efficacy features. The performance of the HC-GCN model was evaluated using accuracy （ACC）， recall， precision， F1 score （F1）， and area under the ROC curve （AUC）. Its predictive effectiveness was then compared to five other machine learning models： eXtreme Gradient Boosting （XGBoost）， logistic regression （LR）， Naive Bayes， K-nearest neighbor （KNN）， and support vector machine （SVM）. ResultsUsing herb pairs with blood-activating effects as a demonstration， a prediction model was constructed based on a foundational dataset of 46 blood-activating herb pairs， incorporating their Qi， flavor， meridian tropism， and target gene characteristics. The HC-GCN model outperforms other commonly used machine learning models in key performance metrics， including ACC， recall， precision， F1 score， and AUC. Through the predictive analysis of the HC-GCN model， 60 herb pairs with blood-activating effects were successfully identified. Among of these potential herb pairs， 44 include at least one herb with blood-activating effects. ConclusionIn this study， we established an efficacy-oriented compatibility prediction model for herb pairs based on GCN by integrating the unique characteristics of traditional herbs with modern pharmacological mechanisms. This model demonstrated high predictive performance， offering a novel approach for the intelligent screening and optimization of traditional Chinese medicine prescriptions， as well as their clinical applications.

Yuejuwan is a classic formula widely used by doctors to relieve liver and depression， with precise clinical efficacy in traditional Chinese medicine （TCM）. The authors used bibliometric methods to collect and collate 495 ancient data related to Yuejuwan， and 105 valid data were screened out， involving 68 ancient Chinese medical books. After systematic verification of the origin of the formula of Yuejuwan， the main treatment symptoms， the principle of the formula， the composition of the drug， the dosage， the preparation method， the decoction method， and other information， the results showed that Yuejuwan originated from the Danxi Xinfa （《丹溪心法》） of the Yuan Dynasty by ZHU Zhenheng， and it is composed of five medicines， namely Atractylodis Rhizoma， Cyperi Rhizom， Chuanxiong Rhizoma， Massa Medicata Fermentata， and Gardeniae Fructus. In terms of drug base， Atractylodis Rhizoma， Cyperi Rhizom， Chuanxiong Rhizoma， and Gardeniae Fructus are in line with the records in the 2020 edition of Chinese Pharmacopoeia， and Massa Medicata Fermentata is used. The preparation method is as follows： Massa Medicata Fermentata and Gardeniae Fructus are fried， and Cyperi Rhizoma is roasted in vinegar. Chuanxiong Rhizoma is used in the raw form， and Atractylodis Rhizoma is prepared with rice swill. The formula can regulate Qi and relieve depression and broaden the middle and remove fullness. It is clinically used for the treatment of six types of depression syndromes， chest and diaphragm plumpness， abdominal distension and leg acid， acid swallowing and vomiting， eating and drinking disharmony， toothache， mouth and tongue sores， and other diseases. The most used dosage of the formula in the ancient records through the ages is converted into the modern dosage， namely 3.05 g Atractylodis Rhizoma， 3.05 g Cyperi Rhizoma， 3.05 g Chuanxiong Rhizoma， 3.05 g Massa Medicata Fermentata， and 3.05 g Gardeniae Fructus， and the daily dosage is 15.25 g. The converted dosage is similar to that recorded in the 2020 edition of the Chinese Pharmacopoeia. The formula is in pill form， and medicine should be taken with lukewarm boiled water after the meal. Through the excavation of the ancient literature related to Yuejuwan， the key information of the formula is identified， with a view to providing a more accurate reference for the clinical application of Yuejuwan and subsequent in-depth investigation.

Yuejuwan is a classic formula widely used by doctors to relieve liver and depression， with precise clinical efficacy in traditional Chinese medicine （TCM）. The authors used bibliometric methods to collect and collate 495 ancient data related to Yuejuwan， and 105 valid data were screened out， involving 68 ancient Chinese medical books. After systematic verification of the origin of the formula of Yuejuwan， the main treatment symptoms， the principle of the formula， the composition of the drug， the dosage， the preparation method， the decoction method， and other information， the results showed that Yuejuwan originated from the Danxi Xinfa （《丹溪心法》） of the Yuan Dynasty by ZHU Zhenheng， and it is composed of five medicines， namely Atractylodis Rhizoma， Cyperi Rhizom， Chuanxiong Rhizoma， Massa Medicata Fermentata， and Gardeniae Fructus. In terms of drug base， Atractylodis Rhizoma， Cyperi Rhizom， Chuanxiong Rhizoma， and Gardeniae Fructus are in line with the records in the 2020 edition of Chinese Pharmacopoeia， and Massa Medicata Fermentata is used. The preparation method is as follows： Massa Medicata Fermentata and Gardeniae Fructus are fried， and Cyperi Rhizoma is roasted in vinegar. Chuanxiong Rhizoma is used in the raw form， and Atractylodis Rhizoma is prepared with rice swill. The formula can regulate Qi and relieve depression and broaden the middle and remove fullness. It is clinically used for the treatment of six types of depression syndromes， chest and diaphragm plumpness， abdominal distension and leg acid， acid swallowing and vomiting， eating and drinking disharmony， toothache， mouth and tongue sores， and other diseases. The most used dosage of the formula in the ancient records through the ages is converted into the modern dosage， namely 3.05 g Atractylodis Rhizoma， 3.05 g Cyperi Rhizoma， 3.05 g Chuanxiong Rhizoma， 3.05 g Massa Medicata Fermentata， and 3.05 g Gardeniae Fructus， and the daily dosage is 15.25 g. The converted dosage is similar to that recorded in the 2020 edition of the Chinese Pharmacopoeia. The formula is in pill form， and medicine should be taken with lukewarm boiled water after the meal. Through the excavation of the ancient literature related to Yuejuwan， the key information of the formula is identified， with a view to providing a more accurate reference for the clinical application of Yuejuwan and subsequent in-depth investigation.

Danggui Sinitang is first recorded in the Treatise on Cold Damage written by ZHANG Zhongjing in the Han dynasty. It is composed of Angelicae Sinensis Radix， Cinnamomi Ramulus， Paeoniae Radix Alba， Asari Radix et Rhizoma， Glycyrrhizae Radix et Rhizoma， Tetrapanacis Medulla， and Jujubae Fructus and serves as a classic formula for treating the syndrome of blood deficiency and cold reversal. This study systematically reviews the records of Danggui Sinitang in ancient Chinese medicine books of various dynasties and the modern clinical applications to probe into the composition， plant species， processing， dosage， decocting method， and indications of Danggui Sinitang， aiming to provide a reference for the development and clinical application of this classic formula. The review of the records showed that there were a variety of records of Danggui Sinitang with different composition， and the composition of this formula listed in the Treatise on Cold Damage has a significant impact on later generations and has been used by medical practitioners throughout history. Although the dosage of some drugs decreased during the Ming and Qing dynasties， the medical practitioners continued to use the original formula. In terms of processing， although there were slight changes in the processing of Angelicae Sinensis Radix， Paeoniae Radix Alba， Glycyrrhizae Radix et Rhizoma， and Tetrapanacis Medulla， the original processing method was inherited. In terms of indications， Danggui Sinitang was designed to treat cold reversal due to blood deficiency and dysentery. Furthermore， it was used to treat headache， convulsive disease， infantile convulsion， and private part adduction in the Ming and Qing dynasties. Nowadays， this formula is mostly used to treat diabetes peripheral neuropathy， rheumatoid arthritis， dysmenorrhea， Raynaud's disease and other diseases. In terms of precautions， ancient physicians believed that Danggui Sinitang should not be taken by pregnant women and should only be used for limb chills caused by blood deficiency and cold coagulation. For limb chills caused by other reasons， this formula should not be used indiscriminately. Modern research has not reported any serious adverse reactions related to this formula. Danggui Sinitang has a definite therapeutic effect. In subsequent research and development， quality control standards of Danggui Sinitang should be established while its safety is ensured， and the related preparations should be developed and applied.

OBJECTIVE To elucidate the mechanisms responsible for the inhibitory effects of limonene on the proliferation of non-small cell lung cancer(NSCLC) by non-targeted metabolomics and additional approaches. METHODS The CCK-8 assay was utilized to evaluate the inhibitory effects of limonene on NSCLC A549 cell viability and to ascertain the IC50. In vitro experiments, encompassing colony formation, flow cytometry, iron content assessment, and mitochondrial staining, were conducted to assess the anti-lung cancer and iron-induced cell death effects of limonene. Metabolomic analysis was employed to identify potential pathways influenced by limonene, and Western blotting was carried out to validate pivotal proteins within these pathways. RESULTS In comparison to the control group, the limonene-treated group demonstrated a significant, dose-dependent reduction in A549 cell proliferation and colony formation. Optical microscopy revealed cellular detachment and pronounced changes in cellular morphology following exposure to limonene. Limonene induced apoptosis in A549 cells and arrested them in the G0-G1 phase of the cell cycle. Confocal microscopy unveiled diminished mitochondrial fluorescence and an augmented intracellular iron content, indicative of the classical phenomenon of ferroptosis. Metabolomic investigations unveiled divergent metabolic pathways, including glutathione(GSH) metabolism, arginine biosynthesis, D-glutamine and D-glutamate metabolism, as well as cysteine and methionine metabolism, with many of them intricately linked to intracellular GSH synthesis. Western blotting experiments underscored a marked reduction in the levels of SLC40A1, SLC7A11(xCT), and GPX4 proteins within the cells post-limonene treatment. CONCLUSION Limonene may induce ferroptosis in lung cancer cells by reducing GSH synthesis and increasing Fe2+ levels.

Objective To construct the knowledge map of Shen Nong Ben Cao Jing;To analyze basic knowledge of materia medica,explore implicit knowledge,and conduct visualization display;To provide methodological references for the study of ancient books.Methods The types of knowledge entities and relationships between entities involved in the Shen Nong Ben Cao Jing were organized and expressed.A training corpus dataset was produced using the BIO sequence labeling method;a self-developed CNLP text labeling system was used for text labeling;the BERT model was used to recognize named entities;the relationships between entities were set based on rules and semantic associations;the data were imported into the Neo4j-community 4.4.9 graph database using Cypher language for storage and visualization display after knowledge fusion;finally a knowledge graph was constructed.Results The knowledge map of Shen Nong Ben Cao Jing included 5 273 nodes and 11 064 relationships.The pattern layer contained 14 entity classes and 16 relationship types.Through Cypher language query,knowledge was visualized from the aspects of TCM classification,medicinal property theory,compatibility of seven emotions and application of TCM.Conclusion The knowledge graph constructed in this study intuitively reflects the knowledge recorded in Shen Nong Ben Cao Jing and the recessive relationship,which is suitable for knowledge mining and intuitive multi-dimensional display of ancient TCM books.

In order to provide a reference basis for the development of relevant compound preparations， this article takes a comprehensive analysis of the usage and dosage of famous classical formulas in Han dynasty from various perspectives， and gives corresponding countermeasures on this basis. Through the comprehensive analysis of the classification and statistics of Zhongjing's medication characteristics， decoction methods， administration and dosage， and combining conversion methods of weights and measures by ancient medical practitioners， along with the dosage and administration of the listed Han dynasty famous classical formulas， it was found that the "Jiangxi method" served as a general guideline for administration according to Zhongjing's original text. This method allowed for flexible dosing based on the conversion of the ancient measurements to modern equivalents［13.8 g per Liang（两）］， ensuring the safe and effective medication of these formulas. After combing， it is found that although the dosage of single medicine is large in famous classical formulas from Han dynasty， the administration is flexible. The crude drug amount per administration serves as the foundational dose， with the frequency of administration adjusted flexibly according to the condition. This dosing approach becomes the key for the rational development of compound formulations of famous classical formulas. Based on the conclusions of the study， it is recommended that when developing compound formulations of famous classical formulas in Han dynasty， the original administration method and dosage should be respected. The original crude drug amount per administration should be considered as the daily foundational dose， with the frequency of administration described within a range（1 to N times per day， where N is the maximum number of administrations as per the original text）. The specific frequency of administration can be adjusted flexibly by clinical practitioners based on the individual condition. This approach should also be adopted in toxicological studies， where the dosage per administration serves as the basis for toxicity research， and the toxicity profile at the maximum administration frequency should be observed， providing guidance on the clinical safety range. Corresponding drug labels should provide information within a range to indicate toxicological risk intervals.

Due to the difference between the system of weights and measures， and the dosage of clinical prescriptions of traditional Chinese medicine in various historical periods， the dosage and conversion standard of prescriptions in past dynasties are different. Therefore， when discounting the dosage of famous classical formulas， the principles of inheriting the essence， making the past serve the present， linking the past and the present， and forming a consensus should be followed， firstly， the dosage of the prescription was converted according to the weights and measures system of the past dynasties. If the converted dosage significantly exceeds the provisions of the 2020 edition of Chinese Pharmacopoeia， then on the premise of ensuring that the proportion of the original prescription drug dosage remains unchanged， the conversion shall be based on expert consensus and drug safety evaluation. For drugs measured in non-standard units， a conversion range is provided based on comprehensive literature analysis and physical measurements. For the conversion of service volume， the original text was used as the basis for the conversion with reference to the measurement standards of different eras. If the original dosage is not clear， the converted dosage will be determined based on the historical evolution of the formula， referring to relevant ancient books， and combining modern applications. Eventually， the converting standard for famous classical formulas was determined as follows：during the Han and Tang dynasties， one Liang（两） was equivalent to 13.8 g and one Sheng（升） was equivalent to 200 mL， in the Tang dynasty， one Fen（分） was equivalent to 3.45 g， during the Song， Jin and Yuan dynasties， one Qian（钱） was equivalent to 4.13 g and one Zhan（盏） was equivalent to 300 mL， during the Ming and Qing dynasties， one Qian（钱） was equivalent to 3.73 g， and one Bei（杯） and one Zhong（盅） were equivalent to 200 mL. For drugs recorded in non-standard units of measurement， it is necessary to conduct actual measurements to determine their conversion standards based on comprehensive analysis to determine their origin. If necessary， different records of the dosage of drugs with the same or similar efficacy and indications in medical books of similar ages can be used to assist in determining the conversion standards. The analysis of the principle of dosage conversion for Chinese medicine is helpful for the clinical application and development of famous classical formulas.

This study used the Appraisal of Guidelines Research & Evaluation-Health Systems （AGREE-HS） to demonstratively compare 34 global coronavirus disease-2019 （COVID-19） health systems guidance documents （HSGs） and 6 World Health Organization （WHO） standard HSGs. The comparison involved topic， participants， methods， recommendations， and implementability， with the aim of exploring the characteristics of emergency HSGs. The results showed that the emergency HSGs had an overall average score of 49%， with topic having the highest score， recommendations having the second highest score， and participants having the lowest score. The standard HSGs had an overall average score of 79%， with high scores in all items. The emergency HSGs had lower scores in participants， methods， recommendations， and implementability than the standard HSGs （P<0.001）， while the COVID-19 emergency HSGs developed by the WHO had higher score in topic than the standard HSGs （P<0.05）. Compared with those released by countries， the COVID-19 emergency HSG developed by the WHO showed superiority in all items and overall scores （P=0.000 2）. This indicates that emergency HSGs， represented by the COVID-19 emergency HSG， place equal emphasis on topic and recommendations as standard HSGs but have low requirements in terms of expert participation， evidence support， and comprehensive consideration in the time- and resource-limited context. They have the characteristics of prominent topics， clear purposes， orientation to demand， keeping up with the latest evidence， flexible adjustment， and timeliness， emphasizing immediate implementation effects， weakening long-term effects， and focusing on comprehensive benefits. Additionally， developers， types， and report completeness are important influencing factors.

The scientific rigor and efficacy of methodologies employed in drafting emergency health systems guidance documents （HSGs） are paramount in guaranteeing the quality， reliability， and applicability of HSGs. According to the Appraisal of Guidelines for Research and Evaluation- Health Systems （AGREE-HS）， we demonstratively assessed both global coronavirus disease-2019 （COVID-19） emergency HSGs and World Health Organization （WHO） standard HSGs to uncover the core attributes of methods employed in the development of emergency HSGs. Our evaluation findings revealed that across the five assessment items of AGREE-HS， methods in the 34 emergency HSGs evaluated ranked third， trailing behind topic and recommendations. Notably， criterion 2 （the best available and most contextually relevant evidence is considered） received the highest score， whereas criterion 5 （evidence of cost and cost-effectiveness of the potential options is described） scored the lowest. Compared with the WHO standard HSGs， the COVID-19 emergency HSGs exhibited low scores in methods （P<0.05）， which was reflected in nine criteria （P<0.05）， especially in criteria 1 （systematic and transparent methods are used to identify and review the evidence） and 9 （systematic and transparent methods are used to agree upon the final recommendations）. Among the COVID-19 emergency HSGs， that developed by the WHO achieved higher scores in eight out of all nine criteria， excluding criterion 8 （P<0.05）. The clinically relevant emergency HSGs had higher scores in the criteria 3 （the evidence base is current） and 8 （the rationale behind the recommendations is clear） than other types of emergency HSGs. Collectively， the methodology for developing emergency HSGs， represented by the COVID-19 emergency HSG， underscores evidence orientation and integrates expert consensus. It is characterized by adaptable evidence synthesis strategies， streamlined evidence review protocols， and contextual relevance， all of which are influenced by external， internal， and implementation-specific factors.