Intervertebral disc degeneration （IVDD） is the core cause of chronic low back pain， which severely impairs patients’ quality of life and imposes a heavy social and medical burden. The hypoxia-pyroptosis-inflammation cascade mediated by hypoxia-inducible factor-1α （HIF-1α） is the core pathological mechanism driving the initiation and progression of IVDD. Natural active ingredients derived from traditional Chinese medicine （TCM） have become a research hotspot in the field of IVDD prevention and treatment due to their advantages of multi-target effects， favorable efficacy， and low toxicity. This paper systematically reviews the mechanism of HIF-1α-mediated hypoxia-pyroptosis-inflammation cascade in degenerative nucleus pulposus tissue and the intervention of related active ingredients. It is found that natural active ingredients such as baicalein， curcumin and resveratrol can intervene in the HIF-1α-mediated pathological cascade through four core links to delay IVDD progression： targeting the HIF-1α oxygen sensing pathway to block the initiation of pyroptosis cascade， inhibiting NOD-like receptor protein 3 inflammasome activation to cut off the cascade amplification of inflammatory signals， intervening in the Gasdermin D-mediated pyroptosis execution stage to protect cell membrane integrity， and regulating extracellular matrix metabolism to reconstruct intervertebral disc homeostasis.

ObjectiveAge-related macular degeneration （AMD） is one of the leading causes of low vision and blindness in people over 50 years old， and dry AMD （dAMD） is one type for which there is currently no clear treatment. On the basis of the diagnosis and clinical characteristics of dAMD in traditional Chinese and Western medicine， this paper evaluated the fitting degrees of existing animal models of dAMD with clinical characteristics according to the evaluation methods of animal models， and put forward suggestions and prospects. MethodsLiterature on animal models of dAMD was searched against database， and the characteristics of the models were assigned according to the diagnosis criteria of diseases and syndromes of traditional Chinese and Western medicine， and the fitting degrees of the models with clinical characteristics were analyzed and evaluated. ResultsAt present， the animal models of dAMD are mainly established targeting complement factors， chemokines， oxidative damage， lipid/glucose metabolism， and natural strains. Most of the models can simulate the major pathological changes of dAMD， showing the fitting degree of 25%-50% with clinical characteristics in Western medicine. However， the evaluation of traditional Chinese medicine （TCM） syndromes， especially the evaluation of secondary syndromes， is missing， and the models present low fitting degrees with the clinical characteristics in TCM. ConclusionExisting animal models of dAMD are mostly established under the guidance of Western diagnostic standards， which reproduce the main disease characteristics of Western medicine and lack observation of TCM syndromes. Future studies can pay attention to the intervention factors and evaluation systems of spleen deficiency Qi deficiency and liver-kidney Yin deficiency syndrome and build the animal model of dAMD with integration of disease and syndrome based on clinical characteristics of traditional Chinese and Western medicine.

ObjectiveAge-related macular degeneration （AMD） is one of the leading causes of low vision and blindness in people over 50 years old， and dry AMD （dAMD） is one type for which there is currently no clear treatment. On the basis of the diagnosis and clinical characteristics of dAMD in traditional Chinese and Western medicine， this paper evaluated the fitting degrees of existing animal models of dAMD with clinical characteristics according to the evaluation methods of animal models， and put forward suggestions and prospects. MethodsLiterature on animal models of dAMD was searched against database， and the characteristics of the models were assigned according to the diagnosis criteria of diseases and syndromes of traditional Chinese and Western medicine， and the fitting degrees of the models with clinical characteristics were analyzed and evaluated. ResultsAt present， the animal models of dAMD are mainly established targeting complement factors， chemokines， oxidative damage， lipid/glucose metabolism， and natural strains. Most of the models can simulate the major pathological changes of dAMD， showing the fitting degree of 25%-50% with clinical characteristics in Western medicine. However， the evaluation of traditional Chinese medicine （TCM） syndromes， especially the evaluation of secondary syndromes， is missing， and the models present low fitting degrees with the clinical characteristics in TCM. ConclusionExisting animal models of dAMD are mostly established under the guidance of Western diagnostic standards， which reproduce the main disease characteristics of Western medicine and lack observation of TCM syndromes. Future studies can pay attention to the intervention factors and evaluation systems of spleen deficiency Qi deficiency and liver-kidney Yin deficiency syndrome and build the animal model of dAMD with integration of disease and syndrome based on clinical characteristics of traditional Chinese and Western medicine.

Objective To investigate the association of serum total testosterone(TT),free testosterone(FT),sex hormone-binding globulin(SHBG),and estradiol(E_2)with all-cause mortality rate(AMR)in males and to evaluate their predictive value. Methods Based on data from the National Health and Nutrition Examination Survey(NHANES)cycles(1999—2004 and 2013—2016),the relationships between different sex hormones and AMR was analyzed with Cox proportional hazards regression models. The dose-response relationships between different sex hormones and male AMR were assessed with restricted cubic splines(RCS). The predictive performances of different sex hormones for male AMR were compared with receiver operating characteristic(ROC)curves and the area under the curve(AUC). The survival differences across varying sex hormone levels were evaluated with Kaplan-Meier survival curves and log-rank tests. Results This study involved 3632 adult male participants with a median follow-up of 6.5 years,during which 320 AMR occurred(8.8%). Cox univariate analysis indicated that TT,FT and SHBG were risk factors for AMR(P＜0.001). Cox multivariate analysis revealed that FT and SHBG were independent risk factors for AMR(FT:HR=0.90,95%CI:0.86-0.94; SHBG:HR=1.01,95%CI:1.01-1.02). RCS revealed a U-shaped nonlinear relationship between TT,FT and AMR(P＜0.001); SHBG showed a positive dose-response relationship with AMR(P＜0.001). The AUCs of FT predicting the 5-year,10-year,and 15-year AMR were 0.78(95%CI:0.73-0.82),0.80(95%CI:0.76-0.84),and 0.84(95%CI: 0.80-0.88),respectively,significantly outperforming other indicators. Subgroup analysis revealed that FT was negatively correlated with male AMR,but this association was modulated by age,race,smoking status and diabetes status(P_(interaction)＜0.05). Kaplan-Meier survival analysis showed that different levels of TT and FT(Q1-Q4)were significantly positively correlated with survival rate(P＜0.001),while different levels of SHBG were significantly negatively correlated with survival rate,with patients in the Q4 group having the highest risk of death(P＜0.001). Conclusion Based on US NHANES,studies have shown that the FT and SHBG are independent risk factors for male AMR,and FT demonstrates greater predictive value for male AMR than TT.

Developing an intelligent agent for integrated traditional Chinese and western medicine diagnosis and treatment based on clinical practice guidelines is a key approach to advancing the standardization and intelligent deve-lopment of traditional Chinese medicine （TCM） and to supporting clinical decision-making. This paper argues for the necessity of building a knowledge base using guidelines as the sole data source， systematically identifies five core methodological challenges across the entire process， and proposes corresponding solutions. An ontology framework capable of distinguishing between TCM and western medicine concepts should be designed to address the difficulty of knowledge integration. A closed-loop "algorithm-based extraction-expert review" model is adopted to reduce data extraction errors. Expert consensus is incorporated to address decision gaps in specific clinical scenarios outlined in the guidelines， while a multi-stage， standardized output process for the AI system is established to eliminate model hallucinations. Furthermore， an evaluation framework reflecting clinical applicability is developed to enhance the AI system's accuracy and stability. Throughout the research process， it is essential to ensure the in-depth and continuous participation of multidisciplinary experts， strictly control the selection and quality evaluation of guidelines， and rely on the expert consensus method to address decision gaps in the knowledge base. Additionally， continuous validation and iterative optimization of intelligent agents are required to ensure the accuracy and stability of generated outputs. Limitations remain in the mechanisms for real-time knowledge synchronization in intelligent diagnostic and treatment systems， and further validation through large-scale real-world studies is warranted.

Chronic heart failure （CHF）， as the terminal stage of various cardiovascular diseases， is characterized by a prolonged course and a high mortality rate， posing a serious threat to human health and life. According to physician Sun Yikui's theory of "Mingmen Dongqi" （dynamic Qi of life gate） in the Ming Dynasty and the modern medicine concept of mitochondrial quality control （MQC）， this paper systematically explores the pathogenic mechanisms and evolutionary patterns of CHF， as well as its intrinsic connection with microstructural homeostasis， and further proposes potential traditional Chinese medicine （TCM） intervention strategies. CHF is often caused by damage to the heart Qi at the early stage. As the disease progresses， prolonged illness affects the kidneys， leading to the dynamic Qi decline of life gate. Further， it results in the failure of the functions of sustaining and consolidating， causing the disintegration of the physical form， which corresponds to mitochondrial kinetic disorders. The deficiency in primary driving force results in impaired Qi transformation， corresponding to mitochondrial autophagy dysfunction， forming a pathological transmission chain of "life gate-mitochondrion" that ultimately leads to myocardial structural disintegration and energy metabolism failure. Modern research indicates that patients with CHF exhibit significant MQC imbalance. Disrupted mitochondrial dynamics lead to network fragmentation， and impaired autophagy causes metabolic blockage， constituting the key microscopic mechanisms underlying ventricular remodeling and pump failure. Chinese herbal medicines， such as those with the effects of warming and tonifying kidney Yang or reinforcing healthy Qi， can intervene in multiple signaling pathways-including PTEN-inducible kinase 1 （PINK1）/Parkin and AMP-activated protein kinase/dynamin-related protein 1 （AMPK/Drp1）-to regulate mitochondrial dynamics and autophagy activity. This repairs damaged MQC networks and improves the microenvironment of myocardial energy metabolism. These intervention strategies align closely with the TCM therapeutic principles of warming and tonifying life gate， replenishing Qi， and activating blood， demonstrating the advantages of holistic regulation based on kidney-centered treatment and mitochondrial-targeted approaches. By integrating the "Mingmen Dongqi" theory with the MQC mechanism， this paper establishes a theoretical framework for the integrated prevention and treatment of CHF， offering new perspectives and insights for clinical practice and future research.

Chronic heart failure （CHF）， as the terminal stage of various cardiovascular diseases， is characterized by a prolonged course and a high mortality rate， posing a serious threat to human health and life. According to physician Sun Yikui's theory of "Mingmen Dongqi" （dynamic Qi of life gate） in the Ming Dynasty and the modern medicine concept of mitochondrial quality control （MQC）， this paper systematically explores the pathogenic mechanisms and evolutionary patterns of CHF， as well as its intrinsic connection with microstructural homeostasis， and further proposes potential traditional Chinese medicine （TCM） intervention strategies. CHF is often caused by damage to the heart Qi at the early stage. As the disease progresses， prolonged illness affects the kidneys， leading to the dynamic Qi decline of life gate. Further， it results in the failure of the functions of sustaining and consolidating， causing the disintegration of the physical form， which corresponds to mitochondrial kinetic disorders. The deficiency in primary driving force results in impaired Qi transformation， corresponding to mitochondrial autophagy dysfunction， forming a pathological transmission chain of "life gate-mitochondrion" that ultimately leads to myocardial structural disintegration and energy metabolism failure. Modern research indicates that patients with CHF exhibit significant MQC imbalance. Disrupted mitochondrial dynamics lead to network fragmentation， and impaired autophagy causes metabolic blockage， constituting the key microscopic mechanisms underlying ventricular remodeling and pump failure. Chinese herbal medicines， such as those with the effects of warming and tonifying kidney Yang or reinforcing healthy Qi， can intervene in multiple signaling pathways-including PTEN-inducible kinase 1 （PINK1）/Parkin and AMP-activated protein kinase/dynamin-related protein 1 （AMPK/Drp1）-to regulate mitochondrial dynamics and autophagy activity. This repairs damaged MQC networks and improves the microenvironment of myocardial energy metabolism. These intervention strategies align closely with the TCM therapeutic principles of warming and tonifying life gate， replenishing Qi， and activating blood， demonstrating the advantages of holistic regulation based on kidney-centered treatment and mitochondrial-targeted approaches. By integrating the "Mingmen Dongqi" theory with the MQC mechanism， this paper establishes a theoretical framework for the integrated prevention and treatment of CHF， offering new perspectives and insights for clinical practice and future research.

Temporal lobe epilepsy(TLE)is the most common form of focal epilepsy in adults,characterized by spontaneous recurrent seizures,with most patients experiencing drug resistance and cognitive dysfunction.MicroRNAs(miRNAs)play a critical role in the pathological process of TLE through their regulation of post-transcriptional gene expression.The pathogenesis of TLE has not been fully elucidated,lacking effective clinical therapeutic targets and prognostic markers.This review sum-marized the expression changes of miRNAs in TLE and their research progress as potential biomarkers,aiming to provide new insights into the early diagnosis,prognosis evaluation,and pathogenic mecha-nisms of TLE.

This research study focuses on addressing the limitations of current neuropathic pain(NP)treatments by developing a novel dual-target modulator,E0199,targeting both Nav1.7,Nay1.8,and Nay1.9 and Kv7 channels,a crucial regulator in controlling NP symptoms.The objective of the study was to synthesize a compound capable of modulating these channels to alleviate NP.Through an experimental design involving both in vitro and in vivo methods,E0199 was tested for its efficacy on ion channels and its therapeutic potential in a chronic constriction injury(CCI)mouse model.The results demonstrated that E0199 significantly inhibited Nav1.7,Nav1.8,and Nav1.9 channels with a particularly low half maximal inhibitory concentration(ICs0)for Nay1.9 by promoting sodium channel inactivation,and also effectively increased Kv7.2/73,Kv7.2,and Kv7.5 channels,excluding Kv7.1 by promoting potassium channel acti-vation.This dual action significantly reduced the excitability of dorsal root ganglion neurons and alle-viated pain hypersensitivity in mice at low doses,indicating a potent analgesic effect without affecting heart and skeletal muscle ion channels critically.The safety of E0199 was supported by neurobehavioral evaluations.Conclusively,E0199 represents a ground-breaking approach in NP treatment,showcasing the potential of dual-target small-molecule compounds in providing a more effective and safe thera-peutic option for NP.This study introduces a promising direction for the future development of NP therapeutics.

Objective:To evaluate the value of ultrasound radiomics combined with machine learning for early diagnosis of seronegative Hashimoto’s thyroiditis (SN-HT) .Methods:This retrospective study included 164 patients from Liaoning Provincial People’s Hospital , Lixin County People’s Hospital, Linghai Dalinghe Hospital, Fengcheng Phoenix Hospital, who underwent thyroidectomy for solitary nodules with normal thyroid function between Nov. 2016 and Jan. 2024. Postoperative pathology confirmed Hashimoto’s thyroiditis (HT) in some cases, who were further categorized into antibody-positive and antibody-negative groups based on serum antibody status. Patients without Hashimoto’s thyroiditis served as the control group. A total of 298 ultrasound images were analyzed. Radiomics features were extracted from hypoechoic non-nodular areas within 0.5 cm surrounding the tumor. Two senior pathologists and two senior ultrasound physicians independently assessed lymphocytic infiltration, eosinophilic changes of follicular epithelium, and the proportion of hypoechoic areas in pathology and ultrasound images, respectively. A machine learning model, CCH-NET, was developed using linear regression and t-distributed stochastic neighbor embedding (t-SNE) techniques. The dataset was divided into a training set (80%) and a validation set (20%) to compare the diagnostic accuracy of CCH-NET with that of senior ultrasound physicians. Results:In internal validation, CCH-NET achieved a diagnostic accuracy of 88.89% for both antibody-positive and antibody-negative groups, significantly higher than the 66.67% accuracy of senior ultrasound physicians ( P<0.01). In external validation, CCH-NET achieved 75.00% and 66.67% accuracy for the two groups, compared to 50.00% by senior ultrasound physicians. For the control group, both methods achieved 93.33% accuracy. The AUC of CCH-NET was 0.848, outperforming senior ultrasound physicians (0.681) ,demonstrating superior diagnostic performance. Conclusion:The radiomics-based CCH-NET model, using non-nodular hypoechoic areas as a specific indicator, can accurately identify early SN-HT in euthyroid patients. It significantly outperforms senior ultrasound physicians, improving diagnostic accuracy and reducing missed diagnoses.