OBJECTIVE To investigate the effects of borneol on pharmacodynamic and pharmacokinetic effects of Corydalis saxicola total alkaloids in depression model rats. METHODS Thirty male SD rats were divided into blank control group， negative control group， positive control group （fluoxetine 10 mg/kg， i.g.）， single drug group （C. saxicola total alkaloids 210 mg/kg， i.g.） and combined drug group （C. saxicola total alkaloids 210 mg/kg+borneol 50 mg/kg， i.g.） according to the random number table method， with 6 rats in each group. By lipopolysaccharide （LPS） induction modeling， except blank control group （no model and no administration） received intraperitoneal injection of the same amount of normal saline， the rats in the other groups were intraperitoneally injected with LPS once a day to establish a rat model of depression. After 1 week of modeling， each administration group was given relevant drug intragastrically according to the corresponding dose， and blank control group and negative control group （without drug treatment） were administered intragastrically with an equal volume of solvent to dissolve the drug； continued modeling while administering the drug. After two weeks of continuous administration， the effects of C. saxicola total alkaloids versus the combination of C. saxicola total alkaloids and borneol on the behavior of depressed rats were tested by behavioral experiments； the levels of tumor necrosis factor-α， interleukin-1β and interleukin-6 in rats were determined； the histopathological changes of the hippocampus of rats were observed. Blood sample was collected from the orbit at different time points after administration on the 15th day， and the upper plasma was obtained. Ultra-performance liquid chromatography-triple quadrupole tandem mass spectrometry was established for the simultaneous determination of dehydrocarvedine， tetrahydropalmatine， coptisine， palmatine， jatrorrhizine， berberine， berberrubine and epiberberine in rat plasma. The average plasma concentration-time curve was depicted， the area under the curve （AUC） was calculated， and the pharmacokinetic parameters were analyzed by DAS 3.2.2 software. RESULTS Compared with blank control group， the negative control group had a decrease in body mass and sugar water preference rate， a decrease in the total distance of open field， a prolonged swimming immobility time， and a increased in the expression of inflammatory factors in serum （P＜0.05）； compared with negative control group, the single drug group and the combined drug group increased the preference rate of sugar water， increased the total distance of open field， shortened the time of swimming immobility， and decreased the expression of inflammatory factors in serum （P＜0.05）. There was no significant difference in the above indicators between the single drug group and the combined drug group in rats （P＞0.05）. Pharmacokinetic results showed that compared with single drug group， AUC0-t of coptisine， AUC0-t， AUC0-∞， tmax and cmax of jatrorrhizine， AUC0-t， AUC0-∞， t1/2 and cmax of berberrubine， and AUC0-t of epiberberine， cmax of dehydrocarvedine， cmax of palmatine were significantly increased in combined drug group， but there was no significant difference， indicating that borneol didn’t have a significant effect on the efficacy of Corydalis saxicola nigra at this dose. CONCLUSIONS Both C. saxicola total alkaloids alone and in combination with borneol can improve depression-like behavior in depression model rats， reduce serum inflammatory cytokine levels， and protect hippocampal neurons. Compared with the use of Corydalis saxicola base alone， the combination with borneol do not show significant pharmacodynamic differences， bu can improve the absorption of coptisine， jatrorrhizine in model rats.

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 establish the HPLC fingerprint of Xintong granules and the quantitative analysis of multi- components by single-marker method （QAMS） to determine the contents of 7 components， so as to provide a scientific basis for their quality control. METHODS HPLC method was used to establish the fingerprints for 10 batches of Xintong granules （No. S1- S10）， and similarity evaluation， cluster analysis （CA） and partial least squares-discriminant analysis （PLS-DA） were performed. At the same time， the contents of seven components， including puerarin， daidzin， calycosin-7-O- β -D-glucoside， stilbene glycoside， naringin， icariin and tanshinone ⅡA， were determined by QAMS method， and were compared with the results of external standard method. RESULTS A total of 18 common peaks were marked and 7 peaks were identified in the HPLC fingerprints for 10 batches of Xintong granules， namely puerarin （peak 4）， daidzin （peak 7）， calycosin-7-O-β-D-glucoside （peak 9）， stilbene glycoside （peak 10）， naringin （peak 12）， icariin （peak 17）， and tanshinone ⅡA （peak 18）； the similarities among them were more than 0.990， and CA and PLS-DA results showed that S4-S5，S8-S10，S1-S3 and S6-S7 were clustered into three categories， respectively. Using naringin as the internal standard， the contents of puerarin， daidzin， calycosin-7-O-β-D-glucoside， stilbene glycoside， icariin and tanshinone ⅡA were determined to be 7.868 1-10.181 2， 1.709 2-2.374 1， 0.285 2-0.326 3， 1.024 1- 1.523 9， 0.140 2-0.290 4， and 0.077 1-0.219 4 mg/g， respectively， by the QAMS. These results showed no significant differences compared to those obtained by the external standard method. CONCLUSIONS Established HPLC fingerprint and QAMS method are convenient， stable and accurate， which can provide a basis for the quality evaluation of Xintong granules.

Objective To compare the cost-effectiveness between sodium valproate and levetiracetam in the treatment of childhood epilepsy and provide an economic basis for clinical medication choices. Methods A cost-effectiveness analysis was conducted using a decision tree model to compare the effectiveness and drug costs of sodium valproate and levetiracetam in treating childhood epilepsy. Single-factor sensitivity analysis and probabilistic sensitivity analysis were used to assess the impact of parameter variations on the study results. Results The treatment cost of levetiracetam was significantly higher than that of sodium valproate. The incremental cost-effectiveness ratio （ICER） of levetiracetam compared to sodium valproate was ¥8 628.43. Sensitivity analysis results were consistent with the base-case analysis. The probabilistic sensitivity analysis showed that, over a 6-month treatment period, levetiracetam became a more cost-effective option when the willingness-to-pay （WTP） threshold was ¥9,000 or higher. One-way sensitivity analysis revealed that the price of levetiracetam was the most influential factor affecting the ICER. Conclusion When the WTP per effective pediatric epilepsy case is ¥9,000 or higher, levetiracetam demonstrates a cost-effectiveness advantage.

Abstract Modern western medicine typically focuses on treating specific symptoms or diseases, and traditional Chinese medicine (TCM) emphasizes the interconnections of the body’s various systems under external environment and takes a holistic approach to preventing and treating diseases. Phenomics was initially introduced to the field of TCM in 2008 as a new discipline that studies the laws of integrated and dynamic changes of human clinical phenomes under the scope of the theories and practices of TCM based on phenomics. While TCM Phenomics 1.0 has initially established a clinical phenomic system centered on Zhenghou (a TCM definition of clinical phenome), bottlenecks remain in data standardization, mechanistic interpretation, and precision intervention. Here, we systematically elaborates on the theoretical foundations, technical pathways, and future challenges of integrating digital medicine with TCM phenomics under the framework of “TCM phenomics 2.0”, which is supported by digital medicine technologies such as artificial intelligence, wearable devices, medical digital twins, and multi-omics integration. This framework aims to construct a closed-loop system of “Zhenghou–Phenome–Mechanism–Intervention” and to enable the digitization, standardization, and precision of disease diagnosis and treatment. The integration of digital medicine and TCM phenomics not only promotes the modernization and scientific transformation of TCM theory and practice but also offers new paradigms for precision medicine. In practice, digital tools facilitate multi-source clinical data acquisition and standardization, while AI and big data algorithms help reveal the correlations between clinical Zhenghou phenomes and molecular mechanisms, thereby improving scientific rigor in diagnosis, efficacy evaluation, and personalized intervention. Nevertheless, challenges persist, including data quality and standardization issues, shortage of interdisciplinary talents, and insufficiency of ethical and legal regulations. Future development requires establishing national data-sharing platforms, strengthening international collaboration, fostering interdisciplinary professionals, and improving ethical and legal frameworks. Ultimately, this approach seeks to build a new disease identification and classification system centered on phenomes and to achieve the inheritance, innovation, and modernization of TCM diagnostic and therapeutic patterns.