ObjectiveTo investigate the migration and distribution characteristics of chemical constituents in blood and hippocampal tissues before and after vinegar processing of Citri Reticulatae Pericarpium Viride（CRPV）， and to explore the potential material basis and mechanisms underlying their regulatory effects on emotional disorders by comparing the effects of raw and vinegar-processed products of CRPV. MethodsUltra-performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS/MS） was employed to characterize and identify the chemical constituents of raw and vinegar-processed products of CRPV extracts， as well as their migrating components in blood and hippocampal tissues after oral administration. Reference standards， databases， and relevant literature were utilized for compound annotation， with data processing performed using PeakView 1.2 software. Seventy male C57BL/6 mice were randomly divided into seven groups， including the blank group， model group， diazepam group（2.5 mg·kg^-1）， raw CRPV low/high dose groups（0.6， 1.2 g·kg^-1）， and vinegar-processed CRPV low/high dose groups（0.6， 1.2 g·kg^-1）， with 10 mice per group. Except for the blank group， all other groups underwent chronic restraint stress（2 h·d^-1） for 20 d. Each drug-treated group received oral administration at the predetermined dose starting 10 d after modeling， with a total treatment duration of 10 d. Following model-based drug administration， mice underwent open-field， forced swimming， and elevated plus maze tests. After anesthesia with isoflurane， whole brains were collected from each group of mice， and hippocampi were dissected. Reactive oxygen species（ROS） level in hippocampal tissues was quantified by enzyme-linked immunosorbent assay（ELISA）. Hematoxylin-eosin（HE） staining was used to observe hippocampal tissue morphology. Immunofluorescence was performed to detect neuronal nuclei（NeuN） and peroxisome proliferator-activated receptor alpha（PPARα） expressions in hippocampal tissue. Then， pharmacodynamic evaluations were conducted to assess the effects of raw and vinegar-processed CRPV on mood disorders， exploring the potential mechanisms. ResultsVinegar processing caused significant changes in the chemical composition of CRPV， with 18 components showing increased relative content and 35 components showing decreased relative content. The primary changes occurred in flavonoid compounds， including 20 flavonoids， 20 flavonoid glycosides， 3 triterpenes， 3 phenolic acids， 1 alkaloid， and 6 other compounds. Twenty-one components were detected in blood（15 methoxyflavones， 4 flavonoid glycosides， and 2 phenolic acids）， with 17 shared between raw and vinegar-processed CRPV. Seven components reached hippocampal tissues（all common to both forms）. In regulating emotional disorders， Vinegar-processed CRPV exhibited superior antidepressant-like effects compared to raw products. HE staining revealed that both treatments improved hippocampal neuronal morphology， particularly in the damaged CA1 and CA3 regions. Immunofluorescence and ELISA analyses demonstrated that both raw and vinegar-processed CRPV significantly modulated NeuN and PPARα expressions in hippocampal tissue while alleviating oxidative stress induced by excessive ROS（P<0.05）. ConclusionThe chemical composition of CRPV undergoes changes after vinegar processing， but the migrating components in blood and hippocampus are primarily methoxyflavonoids. These components may serve as the potential material basis for activating the PPARα pathway， thereby negatively regulating ROS generation in the hippocampus， reducing oxidative stress， and promoting the development of NeuN-positive neurons. These findings provide experimental evidence for enhancing quality standards， pharmacodynamic material research， and active drug development of raw and vinegar-processed CRPV.

ObjectiveIn traditional Chinese medicine (TCM), the foundational doctrine that the eyes reflect the essence of the internal viscera establishes ocular observation as a cornerstone of diagnostic practice. Specifically, the morphological characteristics and coloration variations of the scleral microvasculature serve as critical clinical indicators for assessing the dynamic balance of Qi and Blood, as well as the pathological status of internal organs. Historically, however, TCM eye diagnosis has relied predominantly on the subjective clinical experience and visual acuity of individual practitioners, leading to inherent challenges in standardization and reproducibility. While automated computer-aided diagnostic systems offer a promising solution, existing vessel segmentation algorithms encounter significant domain-specific bottlenecks when applied to scleral imagery. These challenges primarily stem from the highly reflective and moist nature of the ocular surface, which generates severe reflective interference. Furthermore, the inherent low contrast of fine capillary networks against complex background textures, compounded by non-uniform illumination, frequently results in high false-positive rates, misdetections, and severe vessel fragmentation. To address these critical limitations and advance the objective quantification of TCM diagnostics, this paper proposes a novel, highly robust sclera vessel segmentation framework that innovatively integrates Frangi-Sato dual-filter adaptive enhancement with pixel-level reflection detection. MethodsThe proposed methodology systematically addresses the segmentation pipeline through three synergistic stages. First, to overcome the structural limitations of single-filter approaches, a multi-scale weighted fusion strategy is meticulously designed to harness the complementary extraction capabilities of both Frangi and Sato filters. This adaptive enhancement optimally balances the preservation of main vessel trunk continuity with the heightened sensitivity required for delineating delicate, low-contrast peripheral capillaries. Second, to tackle the persistent issue of reflective highlights, a sophisticated multi-feature synergistic reflection detection module is introduced. By jointly analyzing local information entropy, gradient field variations, and intensity statistical distributions, this module achieves precise, pixel-level identification and elimination of reflective artifacts without compromising the underlying vascular structures. Finally, a dual-level adaptive thresholding strategy, featuring an innovative “core protection” mechanism, is implemented. This critical step effectively suppresses complex background noise while rigorously preserving the structural and topological integrity of the intricate vessel network, preventing the structural breaks often seen in conventional binarization methods. ResultsThe efficacy of the proposed framework was rigorously evaluated using both self-constructed clinical datasets specifically acquired for TCM research and standardized public datasets. Extensive experimental results demonstrate that the proposed method consistently outperforms state-of-the-art traditional approaches and contemporary deep learning models. Specifically, the proposed method achieves a Dice similarity coefficient of approximately 0.71 on the private clinical dataset, and secures the best performance across the majority of quantitative metrics on both datasets. Notably, the framework exhibits exceptional robustness and generalization capabilities in highly challenging scenarios characterized by intense reflective interference, low signal-to-noise ratios, and cross-domain image variations. ConclusionThis study successfully realizes the high-integrity, automated segmentation of scleral vessel networks under complex clinical imaging conditions. By overcoming the fundamental algorithmic challenges of reflection interference and micro-vessel loss, the proposed methodology provides potential support for the digitization, objective standardization, and intelligent advancement of modern TCM eye diagnosis systems.

ObjectiveIn traditional Chinese medicine (TCM), the foundational doctrine that the eyes reflect the essence of the internal viscera establishes ocular observation as a cornerstone of diagnostic practice. Specifically, the morphological characteristics and coloration variations of the scleral microvasculature serve as critical clinical indicators for assessing the dynamic balance of Qi and Blood, as well as the pathological status of internal organs. Historically, however, TCM eye diagnosis has relied predominantly on the subjective clinical experience and visual acuity of individual practitioners, leading to inherent challenges in standardization and reproducibility. While automated computer-aided diagnostic systems offer a promising solution, existing vessel segmentation algorithms encounter significant domain-specific bottlenecks when applied to scleral imagery. These challenges primarily stem from the highly reflective and moist nature of the ocular surface, which generates severe reflective interference. Furthermore, the inherent low contrast of fine capillary networks against complex background textures, compounded by non-uniform illumination, frequently results in high false-positive rates, misdetections, and severe vessel fragmentation. To address these critical limitations and advance the objective quantification of TCM diagnostics, this paper proposes a novel, highly robust sclera vessel segmentation framework that innovatively integrates Frangi-Sato dual-filter adaptive enhancement with pixel-level reflection detection. MethodsThe proposed methodology systematically addresses the segmentation pipeline through three synergistic stages. First, to overcome the structural limitations of single-filter approaches, a multi-scale weighted fusion strategy is meticulously designed to harness the complementary extraction capabilities of both Frangi and Sato filters. This adaptive enhancement optimally balances the preservation of main vessel trunk continuity with the heightened sensitivity required for delineating delicate, low-contrast peripheral capillaries. Second, to tackle the persistent issue of reflective highlights, a sophisticated multi-feature synergistic reflection detection module is introduced. By jointly analyzing local information entropy, gradient field variations, and intensity statistical distributions, this module achieves precise, pixel-level identification and elimination of reflective artifacts without compromising the underlying vascular structures. Finally, a dual-level adaptive thresholding strategy, featuring an innovative “core protection” mechanism, is implemented. This critical step effectively suppresses complex background noise while rigorously preserving the structural and topological integrity of the intricate vessel network, preventing the structural breaks often seen in conventional binarization methods. ResultsThe efficacy of the proposed framework was rigorously evaluated using both self-constructed clinical datasets specifically acquired for TCM research and standardized public datasets. Extensive experimental results demonstrate that the proposed method consistently outperforms state-of-the-art traditional approaches and contemporary deep learning models. Specifically, the proposed method achieves a Dice similarity coefficient of approximately 0.71 on the private clinical dataset, and secures the best performance across the majority of quantitative metrics on both datasets. Notably, the framework exhibits exceptional robustness and generalization capabilities in highly challenging scenarios characterized by intense reflective interference, low signal-to-noise ratios, and cross-domain image variations. ConclusionThis study successfully realizes the high-integrity, automated segmentation of scleral vessel networks under complex clinical imaging conditions. By overcoming the fundamental algorithmic challenges of reflection interference and micro-vessel loss, the proposed methodology provides potential support for the digitization, objective standardization, and intelligent advancement of modern TCM eye diagnosis systems.

A method for simultaneous determination of 21 kinds of Aconitum alkaloids(ATS)in biological specimens and infused liquor using ultra-performance liquid chromatography-tandem mass spectrometry(UPLC-MS/MS)was developed.The biological samples were pretreated with methanol-acetonitrile(1∶2,V/V)for protein precipitation,while infused liquors were diluted 100-fold with acetonitrile,followed by centrifugation,and filtration by a 0.22-μm membrane.Chromatographic separation was carried out on an EC-C18 column using gradient elution with the mixture of 10 mmol/L ammonium acetate and 0.2%formic acid as mobile phase A and acetonitrile as mobile phase B.With this method,all the analytes were separated within 9.5 min.The samples were detected in positive ESI mode with dynamic multiple reaction monitoring(MRM)and quantified via external standard calibration.The results showed that the concentrations of the analytes in the range of 2-1000 ng/mL had excellent linearity(R2>0.9992)with the peak area.The developed method was successfully used for detection of 21 kinds of aconitum alkaloids,with limits of detection of 0.5-2 ng/mL,quantification limits of 2-6 ng/mL,intra/inter-day precision≤6.0%,spiked recoveries of 89.4%-100.9%,extraction recoveries of 74.2%-104.4%,and matrix effects ranging from-11.1%to 9.2%in blood/urine.The method was applied to detection of 12 samples from 4 fatal aconite poisoning cases,and all 21 kinds of ATS with total alkaloid concentrations of 0.04-4.18 μg/mL in blood and 154.96-422.83 μg/mL in medicinal liquors were detected.Tissue distribution revealed that the order of concentrations from highest to lowest is as follows:urine(157.22 μg/mL)>gastric contents(51.37 μg/mL)>kidney(21.6 μg/g)>whole blood(4.18 μg/mL)>liver(0.03 μg/g).This method showed many advantages such as simple pretreatment,low detection limits,accurate quantification,broad analyte coverage,and superior anti-interference capability in complex matrices,proving ideal for forensic and toxicological analysis of aconitum alkaloids.

The 2024 National Education Work Conference pointed out that at the current juncture of the critical period for achieving the goals and tasks of the 14th Five-Year Plan,the implementation of the Education Powerhouse Construction Plan Outline should be taken as the main line of work,and building first-class disciplines is an crucial task for a higher education powerhouse.In 2022,forensic medicine was officially listed as a first-level discipline under the medical category,presenting an un-precedented historical opportunity for the development of forensic medicine.The forensic medicine dis-cipline of Southern Medical University comprehensively improves the quality of talent cultivation and facilitates the construction of first-class disciplines as its main direction.It aims to initiate and imple-ment a high-level faculty team building plan featuring"combining recruitment and cultivation,inter-disciplinary integration";make vigorous efforts to establish a first-level doctoral program,refine advan-tageous second-level disciplines and research directions;and establish an innovative research platform from a high starting point with deep integration.The discipline adheres to moral cultivation and the Five Domains of Education simultaneous development,to build a high-quality talent joint training model.Guided by the construction of the national legal system and industry needs,the discipline will enhance social service capabilities.The forensic medicine construction in our university will continue to contribute to the rule of law in China and educational power.

Objective:To explore the mechanism of Shiwei Chaihu Shugan Powder in the treatment of breast hyperplasia using network pharmacology; To verify the mechanism of Shiwei Chaihu Shugan Powder in the treatment of breast hyperplasia through animal experiments.Methods:The active components and potential targets of Shiwei Chaihu Shugan Powder were searched in TCMSP and Uniprot databases. Breast hyperplasia genes were searched in GeneCards and OMIM databases. The intersection targets were obtained by online tool Venny, and the "drug-component-target" network was constructed by Cytoscape 3.8.2 software. The protein interaction (PPI) network was constructed using the String platform, and GO function and KEGG pathway enrichment analysis were performed using the DAVID annotation database. Molecular docking was performed using PDB, PubChem database, PyMOL 2.1 and AutoDockvina 1.2.5 software to predict the biological mechanism of Shiwei Chaihu Shugan Powder in the treatment of breast hyperplasia. Rats were divided into blank group, model group, tamoxifen group and Shiwei Chaihu Shugan Powder low-, medium- and high-dosage groups according to the random number table method, with 6 rats in each group. Except for the blank group, the other groups were prepared with the modified estrogen-progesterone-induced rat mammary hyperplasia model. Shiwei Chaihu Shugan Powder low-, medium- and high-dosage groups were intragastrically administered with Shiwei Chaihu Shugan Powder solution at 7.425 g/kg, 14.850 g/kg, and 29.700 g/kg respectively, while the tamoxifen group was intragastrically administered with 2.1 mg/kg tamoxifen. The blank group and the model group were intragastrically administered with the same volume of drinking water, once a day, for consecutive 28 d. The thickness of the mammary gland was measured by small animal ultrasound. The height and width of the nipples were measured by vernier calipers. The levels of serum E2 and P were detected by ELISA. The morphology of mammary tissue was observed by HE staining. The expressions of ERα, ERβ, SRC-1 and CBP/p300 proteins were detected by Western blot.Results:A total of 92 active components and 274 disease-drug intersection targets were screened out. GO functional enrichment analysis showed that Shiwei Chaihu Shugan Powder was closely related to positive regulation of gene expression, positive regulation of RNA polymerase Ⅱ promoter transcription, signal transduction, negative regulation of apoptosis process, response to heterogeneous stimulation, and regulation of hormone levels. KEGG enrichment analysis showed that the core targets might be related to NF-κB signaling pathway, MAPK signaling pathway, AGE-RAGE signaling pathway, PI3K/Akt signaling pathway, and regulating hormone levels. Molecular docking results showed that the core components had a good binding energy with the core target and a stable conformation. Compared with the model group, the thickness of the mammary gland in the tamoxifen group and Shiwei Chaihu Shugan Powder low-, medium- and high-dosage groups decreased ( P<0.01), the serum P level increased ( P<0.05), the expressions of ERα, SRC-1, and CBP/p300 proteins decreased ( P<0.01), and the expression of ERβ protein increased ( P<0.01); the height of the nipples in the Shiwei Chaihu Shugan Powder medium- and high-dosage groups and the tamoxifen group decreased ( P<0.01), and the serum E2 level increased ( P<0.05). Conclusion:Shiwei Chaihu Shugan Powder may play a role in the treatment of breast hyperplasia by regulating the levels of estrogen and related proteins.

Objective : To construct a lentiviral overexpression cell line of HACE1 and to investigate its effects on the proliferation and migration of glioma cells． Methods : Using the bacterial liquid containing the full-length cDNA sequence of human HACE1 as a template，the lentiviral expression plasmid pCDH-HACE1 was constructed，and the lentiviral cell line was screened．Western blot was employed to detect the expression of HACE1 in glioma cells． Meanwhile，the CCK-8 assay and the cell scratch assay were utilized to assess the impacts of HACE1 on the prolif- eration and migration of glioma cells． Results : The lentiviral cell line with HACE1 overexpression was successfully established．Western blot analysis demonstrated that HACE1 could be effectively expressed in eukaryotic cells．The results of the CCK-8 assay showed that，compared with the control group，the cell proliferation in the HACE1 over- expression group was significantly enhanced at 24 hours and 48 hours after cultivation (both P＜0. 01) ．The cell scratch assay revealed that，at 24 hours and 48 hours after cultivation，the Scratch areas in the HACE1 overexpres- sion group were higher than those in the control group (P＜0. 05，P＜0. 01) ． Conclusion The lentiviral cell line with HACE1 overexpression is successfully constructed．HACE1 can promote the proliferation and migration abili- ties of U251 glioma cells，providing a foundation for further research．

Objective : To construct a lentiviral overexpression cell line of HACE1 and to investigate its effects on the proliferation and migration of glioma cells． Methods : Using the bacterial liquid containing the full-length cDNA sequence of human HACE1 as a template，the lentiviral expression plasmid pCDH-HACE1 was constructed，and the lentiviral cell line was screened．Western blot was employed to detect the expression of HACE1 in glioma cells． Meanwhile，the CCK-8 assay and the cell scratch assay were utilized to assess the impacts of HACE1 on the prolif- eration and migration of glioma cells． Results : The lentiviral cell line with HACE1 overexpression was successfully established．Western blot analysis demonstrated that HACE1 could be effectively expressed in eukaryotic cells．The results of the CCK-8 assay showed that，compared with the control group，the cell proliferation in the HACE1 over- expression group was significantly enhanced at 24 hours and 48 hours after cultivation (both P＜0. 01) ．The cell scratch assay revealed that，at 24 hours and 48 hours after cultivation，the Scratch areas in the HACE1 overexpres- sion group were higher than those in the control group (P＜0. 05，P＜0. 01) ． Conclusion The lentiviral cell line with HACE1 overexpression is successfully constructed．HACE1 can promote the proliferation and migration abili- ties of U251 glioma cells，providing a foundation for further research．

ObjectiveTo evaluate the effects of Wuhua herbal tea on chronic unpredictable mild stress (CUMS)-induced depression and explore its mechanism of action in combating depression.MethodsWe tested the antidepressant effects of Wuhua herbal tea in a rat model of CUMS-induced depression using fluoxetine as a positive control. The rats were divided into four groups: control group, model group, fluoxetine group, and Wuhua herbal tea group. The rats underwent body weight measurements, sucrose preference test, and open-field test. Enzyme-linked immunosorbent assay kits were used to detect the serum levels of serotonin, dopamine, adrenocorticotropic hormone (ACTH), corticosterone, norepinephrine, and interleukin-6. Intergroup comparisons and detection of brain-derived neurotrophic factor (BDNF), cAMP-response element binding protein (CREB), Janus kinase 2 (JAK2), and signal transducer and activator of transcription 3 (STAT3) mRNA expression in the hippocampus were performed using RT-PCR. Immunohistochemistry was used to identify the expression of phosphorylated JAK2 (p-JAK2) and phosphorylated STAT3 (p-STAT3) proteins in hippocampal paraffin sections of CUMS rats.ResultsCompared with the control group, the model group rats had depressive tendencies, exhibiting low vitality and interest in various behavioral indicators which were signs of despair. The Wuhua herbal tea group statistically increased the levels of serotonin and dopamine in the serum of CUMS rats to varying degrees (P = .015 and P = .002); reduced serum levels of ACTH, corticosterone, norepinephrine, and interleukin-6 (all P .05); and decreased mRNA expression of BDNF, CREB, JAK2, and STAT3 in the hippocampus (all P .05); and decreased p-STAT3 protein levels (P = .006).ConclusionWuhua herbal tea shows antidepressant potential in CUMS rats by modulating the HPA axis and inhibiting JAK2-STAT3 overactivation, alleviating neuroinflammation. It also restores BDNF-CREB pathway function, reducing depressive symptoms.