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.

Lung cancer is a leading cause of cancer-related morbidity and mortality worldwide. Coupled with the substantial workload, the clinical management of lung cancer is challenged by the critical need to efficiently and accurately process increasingly complex medical information. In recent years, large language models (LLMs) technology has undergone explosive development, demonstrating unique advantages in handling complex medical data by leveraging its powerful natural language processing capabilities, and its application value in the field of lung cancer diagnosis and treatment is continuously increasing. The paper systematically analyzes that the exceptional potential of LLMs in lung cancer auxiliary diagnosis, tumor feature extraction, automatic staging, progression/outcome analysis, treatment recommendations, medical documentation generation, and patient education. However, they face critical technical and ethical challenges including inconsistent performance in complex integrated decision-making (e.g., TNM staging, personalized treatment suggestions) and "black box" opacity issues, along with dilemmas such as training data biases, model hallucinations, data privacy concerns, and cross-lingual adaptation challenges ("data colonization"). Future directions should prioritize constructing high-quality multimodal corpora specific to lung cancer, developing interpretable and compliant specialized models, and achieving seamless integration with existing clinical workflows. Through dual drivers of technological innovation and ethical standardization, LLMs should be prudently advanced for holistic lung cancer management processes, ultimately promoting efficient, standardized, and personalized diagnosis and treatment practices.

OBJECTIVE To investigate the molecular mechanism of Tiaozhong huashi decoction in improving gastroesophageal reflux disease （GERD） by regulating endoplasmic reticulum autophagy in rat esophageal interstitial cells of Cajal （ICC） through p62 signaling pathway.METHODS After establishing a rat GERD model via the weak acid intragastric administration and irregular diet， the rats were randomly divided into model group， western medicine group [1.56 mg/（kg·d） of mosapride， 3.125 mg/（kg·d） of lansoprazole] and low-， medium- and high-dose Tiaozhong huashi decoction [4.713， 9.425， 18.85 g/（kg·d）] groups. A blank group was also set up， with 8 rats in each group. The rats in each group were intragastrically administered with corresponding liquid or normal saline twice a day for 14 days. During the intervention period， the general conditions of rats’ hair， spirit， diet and defecation were observed. After the last gavage， the pathological changes of esophageal tissue and the ultrastructure of ICC were observed. The relative expression and positive expression levels of p62， autophagy-related protein 8 （ATG8）， 200 kDa FAK family kinase-interacting protein （FIP200） and Unc-51 like autophagy activating kinase 1 （ULK1） in esophageal tissue were detected.RESULTS Compared with the blank group， rats in the model group exhibited listlessness； thickening of the esophageal basal layer， elongation of lamina propria papillae with inflammatory cell infiltration； markedly dilated endoplasmic reticulum appearing as round vacuolar cisternae with ribosome detachment； and a small number of accumulated autophagosomes. The relative expression and positive expression levels of p62， ATG8， FIP200， and ULK1 were significantly decreased （ P ＜0.05）. Compared with the model group， the above pathological injuries in the medium- and high-dose Tiaozhong huashi decoction groups had all improved to varying degrees； the damaged endoplasmic reticulum structure was repaired， and no autophagosome accumulation was observed. In particular， the relative expression levels and positive expression levels of p62， ATG8， FIP200， and ULK1 in esophageal tissue of rats in the medium-dose Tiaozhong huashi decoction group were significantly increased （ P ＜0.05）.CONCLUSIONS Tiaozhong huashi decoction ameliorated esophageal mucosal injury in GERD rats， and its mechanism was possibly associated with activation of the p62 signaling pathway and restoration of the endoplasmic reticulum structure， morphology， and autophagic capacity of ICC.

OBJECTIVE To analyze the correlation between styloid process related parameters and symptoms in patients with styloid process syndrome.METHODS A retrospective study was conducted on the 3D reconstruction CT results of the styloid process in 68 patients diagnosed with styloid process syndrome who visited the Department of Otolaryngology Head and Neck Surgery,the Second Affiliated Hospital of Xi'an Jiaotong University from January 2010 to December 2024.The relationship between parameters such as styloid process length,angle,distance from styloid process tip to pharynx,and specific symptoms in patients with styloid process syndrome was analyzed.RESULTS Among 68 patients with styloid process syndrome,44 had unilateral symptoms and 24 had bilateral symptoms.The length of the styloid process on the symptomatic side of patients with unilateral symptoms(3.86±0.16)cm was significantly longer than that on the asymptomatic side(2.98±0.17)cm(Z=-2.191,P=0.028);The length of the styloid process on the side with severe symptoms in patients with bilateral symptoms(3.98±0.37)cm was also significantly longer than that in patients with mild symptoms(3.37±0.15)cm(t=2.448,P=0.024).Patients with styloid process syndrome mainly present with pharyngalgia(64.71%,44/68).There were no significant differences in the length,inclination angle,anteversion angle,and distance between the styloid process tip and the pharynx among those with unilateral pharyngalgia(n=29),bilateral pharyngalgia(n=15),and non pharyngalgia(n=24)(P>0.05).However,among the 68 patients with styloid syndrome,12 had calcification of the styloid hyoid ligament,while 56 did not.The incidence of unilateral pharyngalgia was significantly higher in patients with calcification of the styloid hyoid ligament than in patients without calcification(66.7%vs.35.7%,χ2=3.909,P=0.048).CONCLUSION The severity of symptoms in patients with styloid process syndrome is related to the length of the styloid process,and those with calcification of the styloid hyoid ligament are more likely to experience pharyngalgia.

Neuropathic pain(NP)is a type of chronic pain caused by damage or disease of the nervous system.It is mainly characterized by spontaneous pain,hyperalgesia,and allodynia,which seriously af-fect the quality of life of patients.The pathogenesis of NP is complex,involving abnormal regulation such as peripheral sensitization,central sensitization,ion channel changes,and glial cell activation.In recent years,the role of m6A in NP has attracted extensive attention.However,the research on the role of m6A modification in different diseases and pain models is still limited.Therefore,it is particularly important to clarify the role of m6A modification in different diseases and pain models.This article reviews the re-search progress on the role and mechanism of m6A methylation modification in the pathogenesis of NP in recent years,especially the role mechanism of the five classical m6A modification factors,METTL3,METTL14,FTO,ALKBH5 and YTHDF1,in mediating the formation of NP in different diseases and pain models,with the expectation of providing new insights and ideas for the drug development and pre-vention of NP from the perspective of m6A modification.

In-fusion cloning technology,as a revolutionary and efficient molecular biology tool,has been applied in multiple research fields such as basic biology,biotechnology,and biomedicine.In this article,we introduce a teaching reform project suitable for undergraduate students in the course of"Molecular Bi-ology Laboratory",which utilizes in-Fusion cloning technology to construct a prokaryotic expression vector for alkaline phosphatase mutant genes.Through specific teaching cases,we systematically explored the design and implementation of experimental projects,and focused on analyzing the key and difficult points of the teaching content.Our teaching practice has found that the implementation of this educational re-form project has achieved very good results in enhancing students' core biological literacy,bioinformatics skills,research thinking,and innovation abilities.At the same time,the application of this technology can significantly improve the quality of experimental teaching,providing new ideas and practical refer-ences for promoting the reform and innovation of National First-Class Courses.

Objective To investigate the relationship between the five-circuit and six-qi characteristics of birth dates and the prevalence of endometriosis(EMs).Methods Clinical data from 333 EMs patients treated at the Department of Reproductive Medicine,The First Affiliated Hospital of Henan University of Chinese Medicine between March 2022 and March 2025 were collected.Statistical analysis was performed on parameters of the five circuits and six qi of patients' birth dates.Results No statistically significant differences were found in the distribution of heavenly stems,dominant circuits,guest circuits,dominant qi,guest qi,joining of guest qi with dominant qi,or Sitian-Zaiquan among the 333 EMs patients(all P＞0.05).However,significant differences were observed in the distribution of earthly branches,yearly circuits,and circuit-qi combinations(P＜0.05 or P＜0.01).Specifically:(1)The most frequent earthly branch was the"Wei"year(12.3％,41/333);(2)The most common annual circuit was"deficient water circuit"(14.7％,49/333);(3)The predominant circuit-qi combination was"Tong Sui Hui"(23.1％,77/333).Conclusion The development of EMs is associated with specific five circuits and six qi characteristics at birth:(1)Earthly branch of"Wei"year;(2)Annual circuit of"deficient water circuit";(3)Circuit-qi combination of"Tong Sui Hui".These patterns suggest that congenital endowmentl deficiencies in the spleen and kidney systems may predispose individuals to EMs.

Aim To investigate the neuroprotective effect of dioscin(DIO)on hippocampal neurons(HT22)after oxygen glucose deprivation/reoxygen-ation(OGD/R)and its possible mechanism.Methods HT22 cells were treated with 0,2.5,5,10,20,40,80,160,and 320 mg·L-1DIO for 24 h,and the cell proliferation rate was detected by CCK-8 method.The concentration that was non-toxic to HT 2 2 cells was se-lected for subsequent experiments.After OGD for 2 h,HT22 cells were randomly divided into the OGD/R group,1.25,2.5,and 5 mg·L-1DIO group,and posi-tive control group.HT22 cells were taken as the con-trol group.After drug intervention for 24 h,the cell proliferation rate was detected by CCK-8 method;the LDH release was detected by colorimetry;the cell ap-optosis rate was detected by TUNEL method;the ex-pression of proteins related to PARP-1/AIF pathway and caspase pathway was detected by Western blot.Results DIO intervention significantly upregulated the expression of AIF protein in mitochondria and PAR protein in nucleus of HT22 cells after OGD/R,and sig-nificantly downregulated the release of LDH,neuronal apoptosis rate,total protein expression of AIF and PAR,PARP-1,AIF in nucleus and protein expression of PAR protein in mitochondria,while the expression of Bax and caspase-3 proteins was not significantly differ-ent from that in the OGD/R group.Conclusion DIO can alleviate the apoptosis of HT22 cells induced by OGD/R by regulating the expression and translocation of proteins related to the PARP-1/AIF pathway,thus playing a neuroprotective role.

Hyperuricemia is a chronic metabolic disease resulting from purine metabolic dysfunction and is classified under the category of"blood turbidity"in traditional Chinese medicine.Our team termed it"acid turbidity,"and its pathogenesis is closely related to the dynamic evolution of the clear and the turbid components.With the change of modern people's diet structure,the incidence of hyperuricemia is increasing annually owing to the intake of fatty,sweet foods and alcohol.Therefore,this paper explores hyperuricemia from the"indigestion of spleen and stomach"theory.The core pathogenesis of hyperuricemia is indigestion of spleen and stomach,the inversion of clear and turbid substances,and endogenous acid turbidity.The initial manifestation of hyperuricemia is the internal retention of acid turbidity and ascending-descending disharmony;the gradual manifestation of this disease is that indigestion causes heat,and acid turbidity transforms into poison;the final manifestation of this disease is that secular indigestion causes deficiency and the inversion of clear and turbid substances.It can be summarized into three syndromes:syndromes of internal retention of dampness-turbidity,dampness-heat toxin amassment,and dampness-heat due to spleen deficiency.Therefore,this paper proposes to treat the disease according to different syndromes,with ascending the clear and descending the turbid as the core of treatment.And the therapeutic approach employs the flexible application of three methods:transportation,resolving,and transformation.For syndrome of internal retention of dampness-turbidity,treatment focuses on promoting spleen transportation to eliminate dampness;for syndrome of dampness-heat toxin amassment,the strategy is to resolve indigestion and purge heat;and for syndrome of dampness-heat due to spleen deficiency,the aim is to resolve turbidity and clear heat.By ascending the clear and descending the turbid,so that"returning the clear and the turbid to the original,"the spleen and stomach regain harmony,functions of ascending and descending are reestablished,and hyperuricemia can be effectively managed.