Atopic dermatitis （AD） is a common pruritic and chronic inflammatory dermatosis in clinical practice and is one of the diseases responding specifically to traditional Chinese medicine （TCM）. With the launch of biological agents and small molecule drugs and the development and implementation of guidelines of diagnosis and treatment， clinical pathways of treatment of moderate to severe AD， and consensus on the whole-process management of AD， the clinical efficacy of moderate to severe AD has been significantly improved. However， there are still many unmet clinical needs that require more effective methods to meet. In response to the Opinions of the CPC Central Committee and the State Council on Facilitating the Inheritance， Innovation， and Development of Traditional Chinese Medicine and the spirit of the National Conference on TCM， the China Association of Chinese Medicine organized more than 20 experts in TCM dermatology， Western medicine dermatology， interdisciplinary fields， and industries to discuss the difficulties and advantages of TCM in the treatment of AD. TCM treatment for AD can not only improve rash and relieve itching but also solve many concomitant syndromes. The abundant external treatment methods of TCM have advantages for different special populations and rash characteristics. The concept of treating disease before its onset in TCM is in line with the chronic disease management mode of prevention and treatment of atopic march and prevention of recurrence. In addition， TCM therapy can reduce the use of topical glucocorticoids and has good safety. Regarding the comorbidity of AD， equal emphasis on TCM and Western medicine and multidisciplinary joint treatment should be advocated to achieve maximum benefit for patients. The exchange of TCM and Western medicine has clarified the positioning and advantages of TCM intervention in AD， providing guidance for clinical and scientific research.

OBJECTIVE To establish a method for determining the contents of clopidogrel （CLP）， clopidogrel carboxylate （CLP-C）， clopidogrel acyl-β-D-glucuronide （CLP-G） and contents of clopidogrel active metabolite （CAM） in rat plasma， and to investigate their in vivo pharmacokinetic characteristics. METHODS The Shisedo CAPCELL ADME column was used with a mobile phase consisting of water and acetonitrile （both containing 0.1% formic acid） in a gradient elution. The flow rate was 0.4 mL/min， and the column temperature was maintained at 20 ℃. The injection volume was 2 μL. The analysis was performed in positive ion mode using electrospray ionization with multiple reaction monitoring. The ion pairs for quantitative analysis were m/z 322.1→211.9 （for CLP）， m/z 308.1→197.9 （for CLP-C）， m/z 322.1→154.8 （for CLP-G）， m/z 504.1→154.9 [for racemic CAM derivative （CAMD）]. Six rats were administered a single intragastric dose of CLP （10 mg/kg）. Blood samples were collected before medication and at 0.08， 0.33， 0.66， 1， 2， 4， 6， 10， 23 and 35 hours after medication. The established method was used to detect the serum contents of various components in rats. Pharmacokinetic parameters were then calculated using WinNonlin 6.1 software. RESULTS The linear ranges for CLP， CLP-C and CAMD were 0.08-20.00， 205.00-8 000.00， and 0.04-25.00 ng/mL， respectively （r≥0.990）. The relative standard deviations for both intra-day and inter-day precision tests were all less than 15%， and the relative errors for accuracy ranged from －11.68% to 14.40%. The coefficients of variation for the matrix factors were all less than 15%， meeting the requirements for bioanalytical method validation. The results of the pharmacokinetic study revealed that， following a single intagastric administration of CLP in rats， the exposure to the parent CLP in plasma was extremely low. Both the area under the drug concentration-time curve （AUC0-35 h） and the peak concentration of the parent CLP were lower than those of its metabolites. The AUC0-35 h of the active metabolite CAM was approximately 43 times that of CLP， though it had a shorter half-life （2.53 h）. The inactive metabolite CLP-C exhibited the highest exposure level， but it reached its peak concentration the latest and was eliminated slowly. The AUC0-35 h of CLP-G was about four times that of CAM， and its half-life was similar to that of CLP-C. CONCLUSIONS This study successfully established an liquid chromatography-tandem mass spectrometry method for the determination of CLP and its three metabolites， and revealed their pharmacokinetic characteristics in rats. Specifically， the parent drug CLP was rapidly eliminated， while the inactive metabolites CLP-C and CLP-G exhibited long half-lives， and active metabolite CAM displayed a transient exposure pattern.

OBJECTIVE To investigate the intervention effect and its potential mechanism of Yifei xuanfei jiangzhuo formula by inhibiting mitochondrial fission in a vascular dementia （VaD） model rats. METHODS VaD rat model was established by bilateral common carotid artery ligation. The experimental animals were randomly divided into sham operation group （SHAM）， model group （MOD），Yifei xuanfei jiangzhuo formula low-dose group （YFXF-L）， Yifei xuanfei jiangzhuo formula high-dose group （YFXF-H）， and Donepezil hydrochloride group （positive control）， with 9 animals in each group. After 30 days of intervention， the spatial learning memory ability was assessed by Morris water maze experiment； HE staining was used to observe histopathological changes in CA1 area of hippocampus； ELISA was used to detect the levels of serum inflammatory factors [interleukin-1β （IL-1β） and IL-4]； Western blot was used to detect the expressions of heat shock protein 90 （HSP90）/mixed lineage kinase domain-like protein （MLKL）/dynamin-related protein 1 （Drp1） pathway-related proteins， mitochondrial fusion proteins （MFN1， MFN2）， and adenosine triphosphate synthase 5A （ATP5A） in hippocampal tissues. The immunohistochemistry was used to detect the level of phosphorylated MLKL （p-MLKL）； real-time fluorescence quantitative PCR was adopted to detect mRNA expressions ofHSP90， MFN1， MFN2 and ATP5A. RESULTS Compared with SHAM group， the escape latency of rats in the MOD group was significantly prolonged， the number of crossing the platform was significantly reduced， and the hippocampal tissues showed typical neuronal damage characteristics， the positive expression level of p-MLKL and the serum level of IL-1β significantly increased， while the serum level of IL-4 significantly decreased， the protein and mRNA expression of HSP90， as well as the protein expressions of p-MLKL/MLKL and p-Drp1（Ser616）/Drp1 were all significantly increased in hippocampal tissue， the protein and mRNA expressions of MFN1， MFN2 and ATP5A， and protein expression of p-Drp1（Ser637）/Drp1 were all significantly decreased （P＜0.05）. After the intervention of Yifei xuanfei jiangzhuo formula， above indicators in each treatment group were all significantly reversed （P＜0.05）. CONCLUSIONS Yifei xuanfei jiangzhuo formula may alleviate neuronal damage and neuroinflammatory responses in VaD rats by regulating the HSP90/MLKL/Drp1 signaling pathway， inhibiting mitochondrial fission， thereby maintaining mitochondrial dynamic balance and improving mitochondrial function.

The Solomon four-group design， a critical method for improving internal validity in clinical research， can reduce bias and control the interference of Hawthorne effects and pretest sensitization on research results， which offers unique advantages in evaluating complex intervention outcomes. This paper systematically outlined the core framework and key points of statistical analysis of the Solomon four-group design， summarized its applications in clinical research at home and abroad， explored its advantages and limitations， and discussed the potential value in traditional Chinese medicine （TCM） clinical trials. It is believed that the Solomon four-group design can help distinguish between testing effects and intervention effects in TCM clinical studies， and reduce the bias in the evaluation of subjective indicators. Meanwhile， given the complexity of the Solomon four-group design and the particularity of TCM clinical research， it is proposed that future TCM clinical studies should focus on using psychological scales， know-ledge， attitude， and behavior measurements， and other similat evaluations as endpoints. It also advocates strengthening interdisciplinary collaboration to provide new methodological paths for TCM clinical research.

Tumor treatment-related adverse reactions are a major focus of clinical concern， among which recurrent aphthous oral ulcers （RAU） associated with targeted therapy for lung cancer （LC） are among the most painful and distressing for patients. Currently， modern medical interventions show limited efficacy， and there is an urgent need for more effective treatment strategies. This study differentiates RAU associated with targeted therapy for LC from chemotherapy-related and ordinary oral ulcers， elucidates the pathophysiological basis of such ulcers， and traces the theoretical origin of "Yin deficiency and Qi collapse". Based on the new system of "five perspectives on diagnosis and treatment" for tumor prevention and treatment， with a focus on the core and symptom perspectives and rooted in the traditional concept of "lung dominating Qi"， we innovatively propose the concept of "medicine-induced ulcer" and are the first to introduce the theory of "Yin deficiency and Qi collapse" into the syndrome differentiation and treatment of RAU associated with targeted therapy for LC （i.e.， medicine-induced ulcer）. We propose that "Yin deficiency and Qi collapse" is the core pathogenesis of medicine-induced ulcers， in which the collapse of formless Qi is the key to their onset， while the deficiency and stasis of tangible Yin and blood constitute the root of recurrence. A hierarchical strategy for syndrome differentiation and treatment is established： first treating the collapse of formless Qi， then replenishing tangible deficiencies， and concurrently preventing recurrence. We emphasize that treatment should address both root and manifestation， with appropriate prioritization. In the acute phase， while relieving symptoms and promoting ulcer healing by nourishing Qi， uplifting collapse， and generating body fluids， attention should also be paid to nourishing spleen Yin， facilitating the circulation of nutritive Qi， and alleviating stasis to target the root pathogenesis and reduce recurrence. A verified case is presented to support this approach. This study enriches the theoretical framework and clinical methods of traditional Chinese medicine （TCM） in the treatment of RAU associated with targeted therapy for LC， promotes symptom management of treatment-related adverse reactions through integrated TCM and Western medicine， and provides theoretical support for the construction and development of a comprehensive differentiation and treatment system for lung cancer prevention， treatment， and rehabilitation.

ObjectivePrimary liver cancer, predominantly hepatocellular carcinoma (HCC), is a significant global health issue, ranking as the sixth most diagnosed cancer and the third leading cause of cancer-related mortality. Accurate and early diagnosis of HCC is crucial for effective treatment, as HCC and non-HCC malignancies like intrahepatic cholangiocarcinoma (ICC) exhibit different prognoses and treatment responses. Traditional diagnostic methods, including liver biopsy and contrast-enhanced ultrasound (CEUS), face limitations in applicability and objectivity. The primary objective of this study was to develop an advanced, light-weighted classification network capable of distinguishing HCC from other non-HCC malignancies by leveraging the automatic analysis of brightness changes in CEUS images. The ultimate goal was to create a user-friendly and cost-efficient computer-aided diagnostic tool that could assist radiologists in making more accurate and efficient clinical decisions. MethodsThis retrospective study encompassed a total of 161 patients, comprising 131 diagnosed with HCC and 30 with non-HCC malignancies. To achieve accurate tumor detection, the YOLOX network was employed to identify the region of interest (ROI) on both B-mode ultrasound and CEUS images. A custom-developed algorithm was then utilized to extract brightness change curves from the tumor and adjacent liver parenchyma regions within the CEUS images. These curves provided critical data for the subsequent analysis and classification process. To analyze the extracted brightness change curves and classify the malignancies, we developed and compared several models. These included one-dimensional convolutional neural networks (1D-ResNet, 1D-ConvNeXt, and 1D-CNN), as well as traditional machine-learning methods such as support vector machine (SVM), ensemble learning (EL), k-nearest neighbor (KNN), and decision tree (DT). The diagnostic performance of each method in distinguishing HCC from non-HCC malignancies was rigorously evaluated using four key metrics: area under the receiver operating characteristic (AUC), accuracy (ACC), sensitivity (SE), and specificity (SP). ResultsThe evaluation of the machine-learning methods revealed AUC values of 0.70 for SVM, 0.56 for ensemble learning, 0.63 for KNN, and 0.72 for the decision tree. These results indicated moderate to fair performance in classifying the malignancies based on the brightness change curves. In contrast, the deep learning models demonstrated significantly higher AUCs, with 1D-ResNet achieving an AUC of 0.72, 1D-ConvNeXt reaching 0.82, and 1D-CNN obtaining the highest AUC of 0.84. Moreover, under the five-fold cross-validation scheme, the 1D-CNN model outperformed other models in both accuracy and specificity. Specifically, it achieved accuracy improvements of 3.8% to 10.0% and specificity enhancements of 6.6% to 43.3% over competing approaches. The superior performance of the 1D-CNN model highlighted its potential as a powerful tool for accurate classification. ConclusionThe 1D-CNN model proved to be the most effective in differentiating HCC from non-HCC malignancies, surpassing both traditional machine-learning methods and other deep learning models. This study successfully developed a user-friendly and cost-efficient computer-aided diagnostic solution that would significantly enhances radiologists’ diagnostic capabilities. By improving the accuracy and efficiency of clinical decision-making, this tool has the potential to positively impact patient care and outcomes. Future work may focus on further refining the model and exploring its integration with multimodal ultrasound data to maximize its accuracy and applicability.

In recent years, the deep integration of artificial intelligence (AI) into medical education has created new opportunities for teaching Biochemistry and Molecular Biology, while also offering innovative solutions to the pedagogical challenges associated with protein structure and function. Focusing on the case of anaplastic lymphoma kinase (ALK) gene mutations in non-small-cell lung cancer (NSCLC), this study integrates AI into case-based learning (CBL) to develop an AI-CBL hybrid teaching model. This model features an intelligent case-generation system that dynamically constructs ALK mutation scenarios using real-world clinical data, closely linking molecular biology concepts with clinical applications. It incorporates AI-powered protein structure prediction tools to accurately visualize the three-dimensional structures of both wild-type and mutant ALK proteins, dynamically simulating functional abnormalities resulting from conformational changes. Additionally, a virtual simulation platform replicates the ALK gene detection workflow, bridging theoretical knowledge with practical skills. As a result, a multidimensional teaching system is established—driven by clinical cases and integrating molecular structural analysis with experimental validation. Teaching outcomes indicate that the three-dimensional visualization, dynamic interactivity, and intelligent analytical capabilities provided by AI significantly enhance students’ understanding of molecular mechanisms, classroom engagement, and capacity for innovative research. This model establishes a coherent training pathway linking “fundamental theory-scientific research thinking-clinical practice”, offering an effective approach to addressing teaching challenges and advancing the intelligent transformation of medical education.

ObjectiveTo investigate the changing trend of hemoglobin （Hb） and related influencing factors in patients with liver failure after artificial liver support system （ALSS） therapy. MethodsA total of 106 patients with liver failure who were hospitalized and received ALSS therapy in our hospital from January to December 2018 were enrolled and analyzed in terms of clinical data and red blood cell parameters such as Hb， mean corpuscular volume （MCV）， mean corpuscular hemoglobin （MCH）， mean corpuscular hemoglobin concentration （MCHC）， and red blood cell distribution width-coefficient of variation （RDW-CV）. A one-way repeated-measures analysis of variance was used for comparison of continuous data with repeated measurement between groups， and the paired t-test was used for comparison between two groups. The Kruskal-Wallis H test was used for comparison of continuous data with skewed distribution between multiple groups， the Mann-Whitney U test was used for further comparison between two groups. Univariate and multivariate linear regression analyses were used to identify the influencing factors for the reduction in Hb after ALSS therapy. ResultsThe 106 patients with liver failure received 606 sessions of ALSS therapy， and Hb was measured for 402 sessions before and after treatment. There was a significant reduction in Hb after ALSS therapy in the patients with liver failure （97.49±20.51 g/L vs 109.38±20.22 g/L， t=32.764， P<0.001）. Longitudinal observation was further performed for 14 patients with liver failure， and the results showed that the level of Hb was 108.50±21.61 g/L before the last session of ALSS therapy， with certain recovery compared with the level of Hb （103.14±19.15 g/L） on the second day after ALSS， and there was an increase in Hb on day 3 （102.57±21.73 g/L） and day 7 （105.57±22.04 g/L） after surgery. The level of Hb in patients with liver failure on the second day after ALSS decreased with the increase in the number of ALSS sessions （F=8.996， P<0.001）， while MCV and MCH gradually increased with the increase in the number of ALSS sessions （F=9.154 and 13.460， P=0.004 and P<0.001）， and RDW-CV first gradually increased and then gradually decreased （F=4.520， P=0.032）； MCHC showed fluctuations with no clear trend （F=0.811， P=0.494）. The multivariate linear regression analysis showed that the duration of ALSS therapy， the mode of ALSS therapy， and initial treatment were independent risk factors for the reduction in Hb after ALSS therapy. ConclusionALSS therapy can influence the level of peripheral blood Hb in patients with liver failure， and patient blood management should be strengthened for patients with liver failure who are receiving ALSS therapy.

Jianghuanglian is one of the representative processed products of Coptidis Rhizoma for treating cold syndrome with drugs of heat nature， and ginger is used to restrict the bitter cold of Coptidis Rhizoma， which can be traced back to Bojifang， and it is suitable for stagnation of damp-heat in middle-jiao， cold-heat mutual knots and other symptoms. Jianghuanglian retains the alkaloids， phenylpropanoids and flavonoids of Coptidis Rhizoma， and also introduces gingerol components such as 6-gingerol in ginger， which has pharmacological activities such as anti-inflammatory， antibacterial， anti-tumor， and improving gastrointestinal function. The 2020 edition of Chinese Pharmacopoeia and many local processing specifications have included the traditional processing process and quality standards of Jianghuanglian， but the specific process parameters and quality standards are incomplete， which limits the production and clinical application of this processed product. By summarizing the processing history， process research， quality evaluation， pharmacodynamic and medicinal property changes and application of Jianghuanglian in the past 20 years， there are differences in the processing methods and standards in various provinces and cities， which are mainly reflected in the preparation method， dosage， processing process and quantitative standards of ginger juice. In addition， there are also certain differences in the changes of the main components of Jianghuanglian prepared from ginger or dried ginger， as well as their efficacy and medicinal properties. The research on the processing process of Jianghuanglian plays an important role in improving its quality standards， and this review can provide a reference for improving the quality evaluation system of Jianghuanglian.

Triple-negative breast cancer (TNBC) represents a distinctive subtype, characterized by the absence of estrogen receptors, progesterone receptors, and human epidermal growth factor receptor 2 (HER2). Due to its high inter-tumor and intra-tumor heterogeneity, TNBC poses significant chanllenges for personalized diagnosis and treatment. The advant of clustered regular interspaced short palindromic repeats (CRISPR) technology has profoundly enhanced our understanding of the structure and function of the TNBC genome, providing a powerful tool for investigating the occurrence and development of diseases. This review focuses on the application of CRISPR/Cas technology in the personalized diagnosis and treatment of TNBC. We begin by discussing the unique attributes of TNBC and the limitations of current diagnostic and treatment approaches: conventional diagnostic methods provide limited insights into TNBC, while traditional chemotherapy drugs are often associated with low efficacy and severe side effects. The CRISPR/Cas system, which activates Cas enzymes through complementary guide RNAs (gRNAs) to selectively degrade specific nucleic acids, has emerged as a robust tool for TNBC research. This technology enables precise gene editing, allowing for a deeper understanding of TNBC heterogeneity by marking and tracking diverse cell clones. Additionally, CRISPR facilitates high-throughput screening to promptly identify genes involved in TNBC growth, metastasis, and drug resistance, thus revealing new therapeutic targets and strategies. In TNBC diagnostics, CRISPR/Cas was applied to develop molecular diagnostic systems based on Cas9, Cas12, and Cas13, each employing distinct detection principles. These systems can sensitively and specifically detect a variety of TNBC biomarkers, including cell-specific DNA/RNA and circulating tumor DNA (ctDNA). In the realm of precision therapy, CRISPR/Cas has been utilized to identify key genes implicated in TNBC progression and treatment resistance. CRISPR-based screening has uncovered potential therapeutic targets, while its gene-editing capabilities have facilitated the development of combination therapies with traditional chemotherapy drugs, enhancing their efficacy. Despite its promise, the clinical translation of CRISPR/Cas technology remains in its early stages. Several clinical trials are underway to assess its safety and efficacy in the treatment of various genetic diseases and cancers. Challenges such as off-target effects, editing efficiency, and delivery methods remain to be addressed. The integration of CRISPR/Cas with other technologies, such as 3D cell culture systems, human induced pluripotent stem cells (hiPSCs), and artificial intelligence (AI), is expected to further advance precision medicine for TNBC. These technological convergences can offer deeper insights into disease mechanisms and facilitate the development of personalized treatment strategies. In conclusion, the CRISPR/Cas system holds immense potential in the precise diagnosis and treatment of TNBC. As the technology progresses and becomes more costs-effective, its clinical relevance will grow, and the translation of CRISPR/Cas system data into clinical applications will pave the way for optimal diagnosis and treatment strategies for TNBC patients. However, technical hurdles and ethical considerations require ongoing research and regulation to ensure safety and efficacy.