Objective: To construct gene recombinant expression plasmids of human anti-P antibody with IgG1 and kappa chain based on the human hybridoma cell line. Methods: Starting from the specific RT-PCR products encoding the variable regions of the IgH chain and IgL chain of the anti-P monoclonal cell line, appropriate restriction enzyme digestion sites were introduced at both ends of the VH and VL fragments through nested PCR. The plasmids carrying the antibody constant region and the nested PCR products of VH and VL were ligated by the action of T4 ligase and subsequently transferred into competent E. coli DH5ɑ, and positive clones were selected in the antibiotic resistant LB medium. After sequence confirmation, recombinant plasmids DNA were transfected into HEK293T cells, and the recombinant antibody obtained in the culture supernatant. The characteristics of recombinant expression antibodies were determined by using rapid antibody isotying kit, serological agglutination tests and flow cytometry. Results: Recombinant gene expression vectors, pFUSEss-CHIg-hG1+VH, pFUSE2ss-CLIg-hκ+VL, were successfully constructed. Human IgG1 kappa light chain antibodies were detected in the supernatant of HEK293T cells transient transfected with recombinant plasmids. After the supernatant was ultra-filtered and concentrated, it could cause agglutination reactions with P antigen-positive red blood cells. The mean fluorescence intensity (MFI) of the reaction between recombinant antibodies and antigen-positive red blood cells in flow cytometry experiments was higher than that of antigen-negative red blood cells. Conclusion: The experimental study on the conversion of red blood group antibody types by genetic engineering technology represents a beneficial exploration towards establishing a feasible technical route for the development of genetic recombination and modification of antibodies reagent.

Atherosclerosis （AS） is the main pathological basis of cardiovascular diseases， and its occurrence and development are closely related to epigenetic regulation. Histone modification， as the core mechanism of epigenetic regulation， plays a crucial role in the occurrence and development of AS by dynamically regulating chromatin structure and gene expression. In recent years， traditional Chinese medicine （TCM） and its active components have shown unique advantages and potential in regulating histone modification for the prevention and treatment of AS. This article systematically reviews the mechanisms of histone acetylation， methylation， lactylation， etc. in the pathological process of AS and summarizes the latest research progress in the intervention of AS by the active components and compound prescriptions of TCM through regulating histone modification. Studies have indicated that TCM and its compound prescriptions regulate the activities of histone modification enzymes via multiple targets， showing unique advantages in influencing lipid metabolism and inflammatory response， as well as stabilizing vulnerable plaques and endothelial function. The active components of TCM directly target the activities or expression of histone modification enzymes such as histone acetyltransferases （HATs）， histone deacetylases （HDACs）， histone lysine methyltransferases （KMTs）， and histone lysine demethylases （KDMs）， thereby causing changes in histone modification and ultimately affecting gene expression and pathological phenotype in AS. However， current research still has problems such as insufficient in-depth basic research， unclear intervention effects and mechanisms of AS dynamics， relatively isolated studies on various factors of epigenetic modification， and unclear establishment of quality control standards for TCM compound prescriptions based on epigenetic regulation. In the future， in-depth research is still needed， and the research results should be translated into clinical applications. This article systematically clarifies the key role and mechanism of TCM in regulating the pathological process of AS through epigenetic intervention， providing new ideas for the modernization of TCM and precise prevention and treatment of AS.

Atherosclerosis （AS） is the main pathological basis of cardiovascular diseases， and its occurrence and development are closely related to epigenetic regulation. Histone modification， as the core mechanism of epigenetic regulation， plays a crucial role in the occurrence and development of AS by dynamically regulating chromatin structure and gene expression. In recent years， traditional Chinese medicine （TCM） and its active components have shown unique advantages and potential in regulating histone modification for the prevention and treatment of AS. This article systematically reviews the mechanisms of histone acetylation， methylation， lactylation， etc. in the pathological process of AS and summarizes the latest research progress in the intervention of AS by the active components and compound prescriptions of TCM through regulating histone modification. Studies have indicated that TCM and its compound prescriptions regulate the activities of histone modification enzymes via multiple targets， showing unique advantages in influencing lipid metabolism and inflammatory response， as well as stabilizing vulnerable plaques and endothelial function. The active components of TCM directly target the activities or expression of histone modification enzymes such as histone acetyltransferases （HATs）， histone deacetylases （HDACs）， histone lysine methyltransferases （KMTs）， and histone lysine demethylases （KDMs）， thereby causing changes in histone modification and ultimately affecting gene expression and pathological phenotype in AS. However， current research still has problems such as insufficient in-depth basic research， unclear intervention effects and mechanisms of AS dynamics， relatively isolated studies on various factors of epigenetic modification， and unclear establishment of quality control standards for TCM compound prescriptions based on epigenetic regulation. In the future， in-depth research is still needed， and the research results should be translated into clinical applications. This article systematically clarifies the key role and mechanism of TCM in regulating the pathological process of AS through epigenetic intervention， providing new ideas for the modernization of TCM and precise prevention and treatment of AS.

From the theoretical perspective of "body fluids and blood stasis mixing"， environmental microplastics （MPs） are conceptualized as a "novel turbid-toxin". This study aims to elucidate the complete pathogenic pathway through which MPs act as a key driving force （the "crucible" of pathogenesis） in the initiation and progression of atherosclerosis （AS）. By tracing the classical theories in the Chapter The Occurrence of All Diseases of Miraculous Pivot （Ling Shu）， this paper clarifies the core connotations of "body fluids"-it not only refers to endogenous pathological fluids and lipid turbidity but also provides a theoretical basis for incorporating "exogenous turbid fluids"， thereby laying a logical foundation for conceptualizing MPs as a "novel turbid-toxin". Meanwhile， the implications of "blood" （encompassing both blood quality abnormalities and blood stasis） and the dynamic process of "mixing" are elucidated. Drawing upon modern toxicological evidence， this paper demonstrates the high homology between MPs and "exogenous turbid-fluids" from three aspects： Morphology， toxicity， and invasion routes. The micro/nano-scale particle morphology of MPs enables mobility within the bloodstream. The multiple exposure pathways of MPs correspond to the traditional Chinese medicine understanding of pathogens invading through the mouth， nose， and skin. The characteristics of accumulating in vivo while inducing oxidative stress and inflammatory responses of MPs fully embody the pathogenic features-adhesion， binding， and vessel damage-of "turbid-toxin". On this basis， the dynamic pathogenesis of MP-induced AS is systematically interpreted. Initially， MPs with the "turbid-toxin" nature impair nutrient-defense harmony and cause endothelial dysfunction. Subsequently， as the core of "mixing"， they interact with blood lipids and immune cells， generating heat and phlegm to form a major pathological hub of chronic inflammation. Ultimately， this process drives the coalescence of phlegm， stasis， and turbid-toxin into tangible plaques， evolving from stable lesions to vulnerable masses and accumulations. By integrating classical pathogenic model with contemporary environmental medicine， this study establishes an analytical framework that bridges macro-theory and micro-mechanisms for understanding the cardiovascular risks of MPs through an integrative Chinese-Western medicine lens.

Objective: To investigate the correlation between color parameters (L^*, a^*, b^*, Eab^*) and the contents of reducing sugars, total polysaccharides, total oligosaccharides, as well as four saccharides (fructose, glucose, sucrose, and kestose) during the nine cycles of steaming and sun-drying processing of Polygonatum kingianum, and to preliminarily explore the optimal processing duration.
Methods: The color changes were objectively evaluated using a colorimeter. The anthrone-sulfuric acid method was employed to determine total polysaccharides and oligosaccharides. The 3,5-dinitrosalicylic acid (DNS) colorimetric method was used to measure total reducing sugar content. High-performance liquid chromatography coupled with charged aerosol detection (HPLC-CAD) was applied for quantitative analysis of fructose, glucose, sucrose, and kestose. Multivariate statistical analysis was conducted to assess samples from different processing stages.
Results: Significant variations in color and component contents were observed across processing stages. The herbal pieces progressively darkened with increased processing cycles: brightness (L^*) and total color difference (Eab^*) initially decreased then stabilized, while a^* (red-green) and b^* (yellow-blue) values first increased then declined. Total polysaccharides and oligosaccharides showed overall decreasing trends, whereas reducing sugars initially increased before stabilizing. Fructose and glucose levels rose continuously, while sucrose and kestose decreased progressively, becoming undetectable after five cycles.
Conclusion: The chromatic alteration and saccharide composition of P. kingianum showed significant correlation with processing duration. Both total color difference (Eab^*) and reducing sugar content stabilized after four processing cycles (12 hours), suggesting that four cycles of steaming and sun-drying may represent the optimal processing duration.

Objectives: . Idiopathic sudden sensorineural hearing loss (ISSNHL) is a significant cause of hearing loss. Intratympanic steroid injection (ITSI) is commonly used as an initial or salvage treatment; however, the lack of a standardized treatment protocol has resulted in variability in clinical practice. In addition, no efficient prediction model currently exists to support personalized management. Therefore, this study aimed to develop tailored management strategies for ISSNHL using a machine-learning model. Methods: . This retrospective multicenter cohort study was conducted between January 2015 and December 2020, with data analysis performed between January 2021 and March 2024. Patients were selected based on the International Classification of Diseases, 10th Revision criteria for ISSNHL, along with relevant medication and procedure codes. Patients with pure-tone audiogram results not meeting ISSNHL criteria, better initial hearing in the affected ear, an identifiable etiology, no post-treatment audiogram, or delayed treatment (>6 weeks) were excluded. We included 770 patients diagnosed with ISSNHL who received ITSI. The primary outcome was the area under the receiver operating characteristic curve for prediction performance. Recovery status was determined using the last pure-tone audiogram. Modeling was conducted on the Quanta for Medical Care AI platform using five machine-learning algorithms and a nested cross-validation framework, in which feature selection and hyperparameter tuning were performed in the inner folds and model performance was evaluated in the outer folds. Results: . A random forest classifier outperformed the other models in predicting hearing outcomes, achieving an area under the receiver operating characteristic curve of 0.788. Time to ITSI was the most influential treatment-related factor, with ITSI administered within 10 days of hearing loss being associated with better outcomes. This model can be used to provide personalized prognostic estimates under different treatment protocols. Conclusion . The machine-learning-based prediction model facilitates personalized treatment strategies and timely treatment adjustments for ISSNHL, thereby optimizing the likelihood of complete recovery.

Background and aims The mechanism of cholestatic liver injury (CLI) is unclear, and effective therapies are lacking. While peroxisome proliferator-activated receptor alpha (PPARα) agonists show potential hepatoprotective effect and pyroptosis is implicated in hepatocellular damage, how PPARα activation mitigates lithocholic acid (LCA)-induced pyroptosis remains unknown. Methods The hepatoprotective effect of PPARα agonists was evaluated in a mouse model of intrahepatic cholestasis induced by LCA. Liver injury was assessed via serum biochemistry, hematoxylin and eosin and TUNEL staining, and electron microscopy. Pyroptosis pathways were analyzed using real-time quantitative polymerase chain reaction, Western blot, and co-immunoprecipitation. Results Combined morphological, histopathological, and biochemical analyses confirmed that PPARα activation protects against CLI. Compared with LCA treatment alone, PPARα activation significantly attenuated the elevation of serum lactate dehydrogenase (LDH), the increased TUNEL-positive cells, and the formation of hepatocyte membrane pores. Mechanistically, PPARα activation suppressed both NOD-like receptor protein 3 (NLRP3) inflammasome-mediated pyroptosis and apoptosis protease-activating factor-1 (APAF-1)/CASPASE-3/GSDME-mediated pyroptosis. Furthermore, PPARα agonist pretreatment inhibited activation of the nuclear factor-kappa B (NF-κB) and forkhead box O1 (FOXO1) signaling pathways. Conclusions PPARα protects against LCA-induced CLI by inhibiting both NLRP3 inflammasome-mediated pyroptosis associated with NF-κB and APAF-1/CASPASE-3/GSDME-mediated pyroptosis associated with the FOXO1 signaling pathway.

ObjectiveTo construct a risk prediction model for carotid artery plaques in high-risk populations of stroke based on five machine learning methods. MethodsThe clinical information of the high-risk population of stroke was collected. Factor analysis and statistical analysis of syndrome elements were conducted on their traditional Chinese medicine （TCM） symptoms and tongue and pulse manifestations. On the basis of the results of factor analysis and variable screening， five machine learning methods-classification and regression tree （CART） decision tree， support vector machine （SVM）， back propagation（BP） neural network， logistic regression， and random forest-were used to construct the risk prediction model for carotid artery plaques. ResultsThe most common TCM syndrome elements in the high-risk population of stroke was Qi deficiency. The scores of Qi deficiency， Yin deficiency， and Yang deficiency in the population with carotid artery plaques were higher than those without carotid artery plaques （P<0.05）. The CART decision tree， SVM， logistic regression， BP neural network， and random forest models showed the areas under the receiver operating characteristic （ROC） curves of 0.71， 0.75， 0.76， 0.76， and 0.75， the accuracy rates of 68.94%， 69.27%， 69.44%， 70.10%， and 69.60%， the precision rates of 68.56%， 68.53%， 68.75%， 69.74%， and 69.42%， the recall rates of 68.91%， 67.93%， 67.92%， 68.10%， and 67.31%， and the F₁ values of 0.69， 0.68， 0.68， 0.68， and 0.68， respectively. ConclusionAmong the high-risk population of stroke， the most frequently distributed TCM syndrome element is Qi deficiency， with the rest mainly being fire heat， Yin deficiency， Yang deficiency， phlegm dampness， blood stasis， and Qi stagnation. Deficiency syndrome may be a major factor leading to carotid artery plaques in the high-risk population of stroke. The BP neural network model demonstrates better performance in predicting the risk of carotid artery plaques in the high-risk population of stroke. People with carotid artery plaques are more likely to present with symptoms such as a heavy head， dizziness， headache， and thready pulse. The primary community benefits more widely when the BP neural network model is adopted to predict the risk of carotid artery plaques in the high-risk population of stroke over 40 years old.

ObjectiveTo construct a risk prediction model for carotid artery plaques in high-risk populations of stroke based on five machine learning methods. MethodsThe clinical information of the high-risk population of stroke was collected. Factor analysis and statistical analysis of syndrome elements were conducted on their traditional Chinese medicine （TCM） symptoms and tongue and pulse manifestations. On the basis of the results of factor analysis and variable screening， five machine learning methods-classification and regression tree （CART） decision tree， support vector machine （SVM）， back propagation（BP） neural network， logistic regression， and random forest-were used to construct the risk prediction model for carotid artery plaques. ResultsThe most common TCM syndrome elements in the high-risk population of stroke was Qi deficiency. The scores of Qi deficiency， Yin deficiency， and Yang deficiency in the population with carotid artery plaques were higher than those without carotid artery plaques （P<0.05）. The CART decision tree， SVM， logistic regression， BP neural network， and random forest models showed the areas under the receiver operating characteristic （ROC） curves of 0.71， 0.75， 0.76， 0.76， and 0.75， the accuracy rates of 68.94%， 69.27%， 69.44%， 70.10%， and 69.60%， the precision rates of 68.56%， 68.53%， 68.75%， 69.74%， and 69.42%， the recall rates of 68.91%， 67.93%， 67.92%， 68.10%， and 67.31%， and the F₁ values of 0.69， 0.68， 0.68， 0.68， and 0.68， respectively. ConclusionAmong the high-risk population of stroke， the most frequently distributed TCM syndrome element is Qi deficiency， with the rest mainly being fire heat， Yin deficiency， Yang deficiency， phlegm dampness， blood stasis， and Qi stagnation. Deficiency syndrome may be a major factor leading to carotid artery plaques in the high-risk population of stroke. The BP neural network model demonstrates better performance in predicting the risk of carotid artery plaques in the high-risk population of stroke. People with carotid artery plaques are more likely to present with symptoms such as a heavy head， dizziness， headache， and thready pulse. The primary community benefits more widely when the BP neural network model is adopted to predict the risk of carotid artery plaques in the high-risk population of stroke over 40 years old.

Head and neck squamous cell carcinoma(HNSCC)is the most common pathological subtype of head and neck malignancies.The majority of patients are diagnosed at an advanced stage,losing the opportunity for curative surgery,and overall prognosis remains poor.With its exceptional capabilities in image analysis and powerful data pro-cessing,artificial intelligence(AI)has the potential to become a valuable tool in precision pathology,offering new op-portunities to improve the diagnosis and treatment of head and neck cancer.This article provides a systematic review of the current research status on AI-assisted pathological image analysis in the diagnosis,treatment strategy selection,and prognosis prediction of HNSCC,while also discussing future research directions.