ObjectiveThis paper aims to find the identified and validated clinical biomarker data building upon a clinical study of early-phase phase Ⅱ and investigate the correlation analysis of Huanglian Jiedu Wan on syndrome improvement and clinical biomarkers in the treatment of "excess heat-toxicity" based on a machine learning model. Additionally， the effective prediction of clinical biomarker values for the main symptoms of the "excess heat-toxicity" syndrome was assessed. MethodsA total of 229 patients meeting the inclusion criteria for "excess heat-toxicity" syndrome were randomly divided into the Huanglian Jiedu Wan group and the placebo group. Syndrome score transition matrices were constructed for the Huanglian Jiedu Wan group and the placebo group based on three main symptoms of "excess heat-toxicity" syndrome， such as oral ulcers， sore throat， and gum swelling and pain. Data from the patients with these three syndromes were also integrated for an overall analysis. The corresponding syndrome score transition matrices were further constructed to visualize symptom change trends of the patients in the two groups via heatmaps. Based on the identified and validated clinical biomarkers related to inflammation， oxidative stress， and energy metabolism in the early phase， Spearman correlation analysis was employed to analyze and evaluate the associations between clinical biomarkers and syndrome improvement. Key clinical biomarkers reflecting the effect of Huanglian Jiedu Wan were screened through the comparison of differences between groups. An extreme gradient boosting （XGBoost） algorithm was used to develop a prediction model for main symptom classification， with classification performance evaluated through 10-fold cross-validation. Feature importance analysis was applied to identify variables with the greatest contribution to the prediction result. ResultsThe syndrome transition matrix results indicated that the Huanglian Jiedu Wan group showed a superior effect to the placebo group in improving oral ulcers， sore throat， and overall symptoms， with significant effects observed especially in sore throat and overall symptom analyses （P<0.01）. Spearman correlation analysis revealed that several clinical biomarkers positively correlated with "excess heat-toxicity" syndrome and its main symptom improvement， were also called "heat-related biomarkers"， including succinic acid， α-ketoglutaric acid， glycine， lactic acid， adenosine monophosphate （AMP）， tumor necrosis factor-α （TNF-α）， interferon-γ （IFN-γ）， interleukin-1β （IL-1β）， interleukin-4 （IL-4）， interleukin-6 （IL-6）， interleukin-8 （IL-8）， interleukin-10 （IL-10）， and so on. Conversely， clinical biomarkers negatively correlated with symptom severity， were also called "heat-clearing related biomarkers" after administration of Huanglian Jiedu Wan， including malic acid， fumaric acid， cis-aconitic acid， adrenocorticotropic hormone （ACTH）， IL-1β， IL-4， IL-8， succinic acid， and citric acid. The XGBoost classification model using all 52 biomarkers as variables achieved an average test accuracy of 0.754 and an average F1 score of 0.777. Feature importance analysis identified the scores of glutamic acid in saliva and IL-6 were the highest in all the variables， with importance scores of 0.081 and 0.080， respectively. After screening out 14 key variables and optimizing the parameters， model performance improved to an average accuracy of 0.758 and an F1 score of 0.798. Feature importance analysis further determined that the glutamic acid in saliva and IL-6 showed obvious changes after screening the variables， confirming the good syndrome prediction ability of the model constructed by these key clinical biomarkers. ConclusionThis study systematically elucidates the correlation between syndrome improvement and clinical biomarkers of Huanglian Jiedu Wan in the treatment of "excess heat-toxicity" syndrome. An XGBoost classification model based on key clinical biomarkers is successfully established， achieving effective prediction of the symptoms related to the "excess heat-toxicity" syndrome such as oral ulcers and sore throat and providing a new insight for objective identification of traditional Chinese medicine syndromes.

ObjectiveThis paper aims to find the identified and validated clinical biomarker data building upon a clinical study of early-phase phase Ⅱ and investigate the correlation analysis of Huanglian Jiedu Wan on syndrome improvement and clinical biomarkers in the treatment of "excess heat-toxicity" based on a machine learning model. Additionally， the effective prediction of clinical biomarker values for the main symptoms of the "excess heat-toxicity" syndrome was assessed. MethodsA total of 229 patients meeting the inclusion criteria for "excess heat-toxicity" syndrome were randomly divided into the Huanglian Jiedu Wan group and the placebo group. Syndrome score transition matrices were constructed for the Huanglian Jiedu Wan group and the placebo group based on three main symptoms of "excess heat-toxicity" syndrome， such as oral ulcers， sore throat， and gum swelling and pain. Data from the patients with these three syndromes were also integrated for an overall analysis. The corresponding syndrome score transition matrices were further constructed to visualize symptom change trends of the patients in the two groups via heatmaps. Based on the identified and validated clinical biomarkers related to inflammation， oxidative stress， and energy metabolism in the early phase， Spearman correlation analysis was employed to analyze and evaluate the associations between clinical biomarkers and syndrome improvement. Key clinical biomarkers reflecting the effect of Huanglian Jiedu Wan were screened through the comparison of differences between groups. An extreme gradient boosting （XGBoost） algorithm was used to develop a prediction model for main symptom classification， with classification performance evaluated through 10-fold cross-validation. Feature importance analysis was applied to identify variables with the greatest contribution to the prediction result. ResultsThe syndrome transition matrix results indicated that the Huanglian Jiedu Wan group showed a superior effect to the placebo group in improving oral ulcers， sore throat， and overall symptoms， with significant effects observed especially in sore throat and overall symptom analyses （P<0.01）. Spearman correlation analysis revealed that several clinical biomarkers positively correlated with "excess heat-toxicity" syndrome and its main symptom improvement， were also called "heat-related biomarkers"， including succinic acid， α-ketoglutaric acid， glycine， lactic acid， adenosine monophosphate （AMP）， tumor necrosis factor-α （TNF-α）， interferon-γ （IFN-γ）， interleukin-1β （IL-1β）， interleukin-4 （IL-4）， interleukin-6 （IL-6）， interleukin-8 （IL-8）， interleukin-10 （IL-10）， and so on. Conversely， clinical biomarkers negatively correlated with symptom severity， were also called "heat-clearing related biomarkers" after administration of Huanglian Jiedu Wan， including malic acid， fumaric acid， cis-aconitic acid， adrenocorticotropic hormone （ACTH）， IL-1β， IL-4， IL-8， succinic acid， and citric acid. The XGBoost classification model using all 52 biomarkers as variables achieved an average test accuracy of 0.754 and an average F1 score of 0.777. Feature importance analysis identified the scores of glutamic acid in saliva and IL-6 were the highest in all the variables， with importance scores of 0.081 and 0.080， respectively. After screening out 14 key variables and optimizing the parameters， model performance improved to an average accuracy of 0.758 and an F1 score of 0.798. Feature importance analysis further determined that the glutamic acid in saliva and IL-6 showed obvious changes after screening the variables， confirming the good syndrome prediction ability of the model constructed by these key clinical biomarkers. ConclusionThis study systematically elucidates the correlation between syndrome improvement and clinical biomarkers of Huanglian Jiedu Wan in the treatment of "excess heat-toxicity" syndrome. An XGBoost classification model based on key clinical biomarkers is successfully established， achieving effective prediction of the symptoms related to the "excess heat-toxicity" syndrome such as oral ulcers and sore throat and providing a new insight for objective identification of traditional Chinese medicine syndromes.

Huopo Xialingtang is a famous classical formula for treating dampness and warmth， which is included in the Catalogue of Ancient Famous Classical Formulas（The First Batch）. In this paper， bibliometric methods was used to collect the literature related to Huopo Xialingtang， and 16 items of related literature were retrieved， involving five medical books， which were used to textual research on the origin， name， composition， drug dosage， preparation method， processing and main treatment symptoms of this formula. The results indicated that Huopo Xialingtang was originated from Yiyuan written by Shi Funan in the Qing dynasty， and and was later named and extended by He Lianchen. The composition of the proposed formula was consistent with the record of Yiyuan， and the origin of each Chinese materia medica was basically clear. Houpo was the dried bark and root bark of Magnolia officinalis， Zexie was the dried tubers of Alisma orientale， Kuxingren was the dried mature seeds of Prunus armeniaca， Doukou was the dried mature fruits of Amomum kravanh， the origin of Tuhuoxiang was consistent with the 2018 edition of Shanghai Standards of Processing Chinese Crud Drugs， and the origins of the remaining Chinese medicines were consistent with the 2020 edition of Chinese Pharmacopoeia. The converted dose of each Chinese medicine was 7.46 g for Agastache rugosa， 3.73 g for Magnoliae Officinalis Cortex， 8.39 g for Pinelliae Rhizoma Praeparatum cum Zingibere et Alumine， 11.19 g for Poria， 11.19 g for Armeniacae Semen Amarum， 14.92 g for Coicis Semen， 2.61 g for Amomi Fructus Rotundus， 5.60 g for Polyporus， 5.60 g for Alismatis Rhizoma， 14.92 g for Tetrapanacis Medulla. Huopo Xialingtang was initially used for the treatment of dampness and warmth at the beginning of the disease， and was later expanded to treat dampness obstruction， dampness-warming dysentery and so on， but always with the dampness-heat in the lungs and spleen as the pathogenesis. In modern times， the clinical application is more extensive， used in digestive， respiratory， endocrine， nervous system and other types of diseases， especially for chronic gastritis， stomach pain and fever. By combing the ancient literature of Huopo Xialingtang， we verified the origin of the formula and determined the key information of the prescription， which can provide literature reference for the clinical application and drug development of this formula.

Background: s/Aims: Sarcomatoid hepatocellular carcinoma (HCC) is a rare histological subtype of HCC characterized by extremely poor prognosis; however, its molecular characterization has not been elucidated. Methods: In this study, we conducted an integrated multiomics study of whole-exome sequencing, RNA-seq, spatial transcriptome, and immunohistochemical analyses of 28 paired sarcomatoid tumor components and conventional HCC components from 10 patients with sarcomatoid HCC, in order to identify frequently altered genes, infer the tumor subclonal architectures, track the genomic evolution, and delineate the transcriptional characteristics of sarcomatoid HCCs. Results: Our results showed that the sarcomatoid HCCs had poor prognosis. The sarcomatoid tumor components and the conventional HCC components were derived from common ancestors, mostly accessing similar mutational processes. Clonal phylogenies demonstrated branched tumor evolution during sarcomatoid HCC development and progression. TP53 mutation commonly occurred at tumor initiation, whereas ARID2 mutation often occurred later. Transcriptome analyses revealed the epithelial–mesenchymal transition (EMT) and hypoxic phenotype in sarcomatoid tumor components, which were confirmed by immunohistochemical staining. Moreover, we identified ARID2 mutations in 70% (7/10) of patients with sarcomatoid HCC but only 1–5% of patients with non-sarcomatoid HCC. Biofunctional investigations revealed that inactivating mutation of ARID2 contributes to HCC growth and metastasis and induces EMT in a hypoxic microenvironment. Conclusions We offer a comprehensive description of the molecular basis for sarcomatoid HCC, and identify genomic alteration (ARID2 mutation) together with the tumor microenvironment (hypoxic microenvironment), that may contribute to the formation of the sarcomatoid tumor component through EMT, leading to sarcomatoid HCC development and progression.

Background: s/Aims: Sarcomatoid hepatocellular carcinoma (HCC) is a rare histological subtype of HCC characterized by extremely poor prognosis; however, its molecular characterization has not been elucidated. Methods: In this study, we conducted an integrated multiomics study of whole-exome sequencing, RNA-seq, spatial transcriptome, and immunohistochemical analyses of 28 paired sarcomatoid tumor components and conventional HCC components from 10 patients with sarcomatoid HCC, in order to identify frequently altered genes, infer the tumor subclonal architectures, track the genomic evolution, and delineate the transcriptional characteristics of sarcomatoid HCCs. Results: Our results showed that the sarcomatoid HCCs had poor prognosis. The sarcomatoid tumor components and the conventional HCC components were derived from common ancestors, mostly accessing similar mutational processes. Clonal phylogenies demonstrated branched tumor evolution during sarcomatoid HCC development and progression. TP53 mutation commonly occurred at tumor initiation, whereas ARID2 mutation often occurred later. Transcriptome analyses revealed the epithelial–mesenchymal transition (EMT) and hypoxic phenotype in sarcomatoid tumor components, which were confirmed by immunohistochemical staining. Moreover, we identified ARID2 mutations in 70% (7/10) of patients with sarcomatoid HCC but only 1–5% of patients with non-sarcomatoid HCC. Biofunctional investigations revealed that inactivating mutation of ARID2 contributes to HCC growth and metastasis and induces EMT in a hypoxic microenvironment. Conclusions We offer a comprehensive description of the molecular basis for sarcomatoid HCC, and identify genomic alteration (ARID2 mutation) together with the tumor microenvironment (hypoxic microenvironment), that may contribute to the formation of the sarcomatoid tumor component through EMT, leading to sarcomatoid HCC development and progression.

Background: s/Aims: Sarcomatoid hepatocellular carcinoma (HCC) is a rare histological subtype of HCC characterized by extremely poor prognosis; however, its molecular characterization has not been elucidated. Methods: In this study, we conducted an integrated multiomics study of whole-exome sequencing, RNA-seq, spatial transcriptome, and immunohistochemical analyses of 28 paired sarcomatoid tumor components and conventional HCC components from 10 patients with sarcomatoid HCC, in order to identify frequently altered genes, infer the tumor subclonal architectures, track the genomic evolution, and delineate the transcriptional characteristics of sarcomatoid HCCs. Results: Our results showed that the sarcomatoid HCCs had poor prognosis. The sarcomatoid tumor components and the conventional HCC components were derived from common ancestors, mostly accessing similar mutational processes. Clonal phylogenies demonstrated branched tumor evolution during sarcomatoid HCC development and progression. TP53 mutation commonly occurred at tumor initiation, whereas ARID2 mutation often occurred later. Transcriptome analyses revealed the epithelial–mesenchymal transition (EMT) and hypoxic phenotype in sarcomatoid tumor components, which were confirmed by immunohistochemical staining. Moreover, we identified ARID2 mutations in 70% (7/10) of patients with sarcomatoid HCC but only 1–5% of patients with non-sarcomatoid HCC. Biofunctional investigations revealed that inactivating mutation of ARID2 contributes to HCC growth and metastasis and induces EMT in a hypoxic microenvironment. Conclusions We offer a comprehensive description of the molecular basis for sarcomatoid HCC, and identify genomic alteration (ARID2 mutation) together with the tumor microenvironment (hypoxic microenvironment), that may contribute to the formation of the sarcomatoid tumor component through EMT, leading to sarcomatoid HCC development and progression.

Objective To clarify the current development status and research hotspots in the field of experimental drug management in China through data mining by bibliometric. Methods Key words such as “experiment”, “drug”, and “management” were used to search the Chinese literature in China National Knowledge Infrastructure （CNKI）. The title, author name, author affiliation, Chinese abstract, Chinese keywords, publication period, journal name, and other content of the literature were extracted from the literature. Cluster analysis was performed by CNKI literature visualization analysis system, CiteSpace and other software, and a network knowledge map was drawn. Results The literature in the field of experimental drug management in China was first published in 1994, and a total of 140 articles were published until 2022. Among them, 20 articles were supported by relevant funds, and the keyword co-occurrence frequency was highest among “subjects”. The most frequently published medium was the Chinese Pharmacological Yearbook. Conclusion At present, the quantity and quality of literature in the field of experimental drug management in China were relatively small, and the cooperation and communication among authors were not close. The funding from various fund projects in this field was also lacking. These factors led to a lower overall development level and slower development speed in this field.

OBJECTIVE: To observe the effect of electroacupuncture (EA) on the intestinal flora in rats with chronic obstructive pulmonary disease (COPD) and explore its possible mechanism based on the gut-lung axis theory. METHODS: A total of 30 male SD rats of SPF grade were randomly divided into a normal control (NC) group, a model group and an EA group, 10 rats in each one. In the model group and the EA group, COPD model was established by intratracheal instillation of lipopolysaccharide combined with cigarette fumigation. In the EA group, EA was applied at bilateral "Feishu" (BL13) and "Zusanli" (ST36), with disperse-dense waves, in frequency of 4 Hz/20 Hz, current of 1-3 mA, 20 min a time, once a day for 14 days continuously. Before and after modeling, as well as after intervention, body weight was observed; after intervention, the lung function indexes (forced expiratory volume in 0.1 second [FEV_0.1], FEV_0.1/forced vital capacity [FVC]%, forced expiratory volume in 0.3 second [FEV_0.3] and FEV_0.3/FVC%) were measured, serum levels of inflammatory factors (tumor necrosis factor-α[TNF-α], interleukin-6[IL-6], interleukin-1β[IL-1β] and interleukin-10[IL-10]) were detected by ELISA, histopathology of lung and colon tissues was observed by HE staining, the intestinal flora were analyzed by 16S rRNA, and the correlations between lung function and intestinal flora were analyzed. RESULTS: Compared with the NC group, in the COPD group, the body weight and lung function indexes were reduced (P<0.01); the lung and colon tissues were damaged, the mean linear intercept (MLI) of alveolus and inflammatory cell numbers of 100 μm² in lung tissue were increased (P<0.01); the serum levels of TNF-α, IL-6 and IL-1β were increased (P<0.01, P<0.05), and the serum level of IL-10 was decreased (P<0.01); α-diversity indexes of intestinal flora were increased (P<0.01); the relative abundance of Bacteroidetes, Proteobacteria and Oscillospira, Bacteroides, Coprococcus was increased (P<0.01), the relative abundance of Firmicutes, Actinobacteria, Tenericutes, TM7 and Lactobacillus, Allobaculum, Bifidobacterium, YRC22 was decreased (P<0.01, P<0.05); 31 different expressed metabolic pathways were identified between the two groups. Compared with the COPD group, in the EA group, the body weight and lung function indexes were increased (P<0.01); the damage of lung and colon tissues was improved, the MLI of alveolus was decreased (P<0.05); the serum levels of TNF-α, IL-6 and IL-1β were decreased (P<0.05), and the serum level of IL-10 was increased (P<0.05); α-diversity indexes of intestinal flora were decreased (P<0.01); the relative abundance of Bacteroidetes, Proteobacteria and Oscillospira, Bacteroides, Coprococcus was decreased (P<0.01, P<0.05), the relative abundance of Firmicutes, Actinobacteria, Tenericutes, TM7 and Lactobacillus, Allobaculum, Bifidobacterium, YRC22 was increased (P<0.01); 35 different expressed metabolic pathways were identified between the two groups. The lung function was positive related with Actinobacteria, Tenericutes, TM7 and YRC22, and was negative related with Bacteroidetes, Proteobacteria and Oscillospira, Bacteroides, Coprococcus. CONCLUSION EA may ameliorate lung function and tissue injury of COPD by regulating intestinal flora dysbiosis and inflammatory response, suggesting an anti-inflammatory effect mediated via "gut-lung" axis.
Animals ; Pulmonary Disease, Chronic Obstructive/genetics* ; Male ; Electroacupuncture ; Rats ; Rats, Sprague-Dawley ; Lung/metabolism* ; Gastrointestinal Microbiome ; Humans ; Interleukin-6/immunology* ; Tumor Necrosis Factor-alpha/immunology* ; Intestines/microbiology* ; Interleukin-10/immunology*