Small cell lung cancer (SCLC), a highly aggressive subtype of lung cancer that originates from pulmonary neuroendocrine cells, accounts for 10% to 15% of all lung cancers. It is characterized by a high rate of early metastasis and extremely poor prognosis, often accompanied by challenges such as drug resistance and recurrence. Related researches indicates that the Notch signaling pathway plays a crucial role in the occurrence and development of SCLC by regulating processes such as cell proliferation, differentiation, and apoptosis. In SCLC, abnormal Notch signaling may promote tumor malignancy and the occurrence of drug resistance. Additionally, the Notch pathway is involved in the epithelial-mesenchymal transition of SCLC and influences immune escape mechanisms through interactions with the tumor immune microenvironment. This article reviews the molecular mechanisms of Notch signaling in SCLC, including the roles of its receptors and ligands, signal transduction processes, and its role in tumorigenesis. It also discusses the research progress of Notch signaling as a potential therapeutic target and looks forward to future research directions in this field.
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Humans ; Receptors, Notch/genetics* ; Signal Transduction ; Small Cell Lung Carcinoma/pathology* ; Lung Neoplasms/pathology* ; Animals

Objective:To investigate the value of coronary CTA (CCTA)-based traditional features and radiomics of plaque in the identification of culprit lesions that caused acute myocardial infarction (AMI).Methods:This was a retrospective multicenter study. From July 2016 to November 2023, a total of 344 patients from the Affiliated Hospital of Qingdao University (training cohort, n=184), Shandong Provincial Hospital Affiliated to Shandong First Medical University (validation cohort, n=88) and Qilu Hospital of Shandong University (test cohort, n=72) who received percutaneous coronary intervention (PCI) due to AMI and underwent CCTA within 48 hours of AMI were enrolled. The culprit plaques and non-culprit plaques were identified using a combination of electrocardiogram, CCTA, and angiographic findings. The vessel, plaque location, plaque type, Coronary Artery Disease-Reporting and Data System (CAD-RADS) score, high-risk plaque characteristics, plaque length, plaque volume, and burden were analyzed, and 1 904 radiomics features were extracted for each plaque. The traditional imaging model, the radiomics model, and the combined model were established by using multivariate Logistic regression analysis. The area under the receiver operating characteristic curve (AUC) was used to evaluate the performance of each model in identifying culprit lesions. The DeLong test was used for the comparison of AUC between every two models. The net reclassification index (NRI) was used to evaluate the incremental value of the combined model to the traditional imaging model and the radiomics model. The decision curve analysis (DCA) was used to assess the clinical net benefit of these models. A correlation heatmap was used to evaluate the correlation between the radiomics score and traditional CCTA factors. The interpretable analysis of the decision process of the combined model was performed by the Shapley Additive exPlanations (SHAP). Results:In the validation cohort and the test cohort, the AUC of the traditional imaging model developed by the vessel, plaque type, positive remodeling and CAD-RADS score was 0.898 (95% CI 0.869-0.922) and 0.881 (95% CI 0.848-0.910), respectively. The radiomics model developed by six radiomics features was 0.863 (95% CI 0.831-0.891) and 0.863 (95% CI 0.827-0.864), respectively. The AUC of the combined model was 0.930 (95% CI 0.905-0.950)and 0.919 (95% CI 0.889-0.942), respectively. In the validation cohort and the test cohort, the AUC of the combined model was higher than that of the traditional imaging model ( Z=4.013, 4.272, P<0.001) and that of the radiomics model ( Z=4.819, 3.784, P<0.001), respectively. In the validation cohort, the combined model yielded an NRI of 20.43% (95% CI 10.43%-30.44%, P<0.001) and 20.21% (95% CI 9.62%-30.80%, P<0.001) for identifying culprit lesions compared with the traditional imaging model and the radiomics model, respectively. In the test cohort, the combined model yielded an NRI of 28.05% (95% CI 16.72%-39.38%, P<0.001) and 23.57% (95% CI 13.58%-33.56%, P<0.001) for identifying culprit lesions compared with the traditional imaging model and the radiomics model, respectively. DCA showed the combined model had the highest clinical net benefit. The correlation heatmap showed the radiomics score was not correlated or only weakly correlated with traditional CCTA factors. SHAP indicated the radiomics and CAD-RADS score contributed significantly to the model. Conclusion:The CCTA-based traditional features and radiomics of plaque have favorable performance for the identification of culprit plaques in patients with AMI.

Anti-leucine-rich glioma-inactivated 1 protein (LGI1) antibody-associated encephalitis is an autoimmune encephalitis mediated by LGI1 antibodies, which can occur in both adults and children. Its common clinical manifestations include epileptic seizures, cognitive and psychiatric disorders; rare symptoms include sleep disorders and autonomic disorders; and its characteristic manifestations are faciobrachial dystonic seizures and refractory hyponatremia. Since anti-LGI1 antibody-associated encephalitis is relatively rare in clinical practice, this article reviews the disease in terms of etiology and pathogenesis, clinical manifestations, auxiliary examinations, diagnosis and differential diagnosis, treatment, recurrence and prognosis. It aims to improve clinicians′ understanding of this disease, provide references for its early diagnosis and treatment, and thereby improve patients′ prognosis.

To summarize the clinical experience of Professor LIU Jinmin in treatment for epilepsy. It is believed that main pathogenesis of epilepsy is yangming failure to close and vital activity loss control， so a therapeutic approach focused on restoring the closure of yangming and regaining vital activity was proposed for the treatment of epilepsy. For excess syndrome， the treatment focuses on draining excess and descending qi， promoting purgation and restoring spirit. When yangming dryness-heat predominates， the approach involves unblock the bowels and regulating the spirit， descending qi and reducing fire， with modified Chengqi Decoction （承气汤） as prescription； when yangming phlegm-fire predominates， the treatment focuses on clearing heat and resolving phlegm， calming mind and suppressing fright， with modified Qingxin Wendan Decoction （清心温胆汤） as prescription； when yangming blood stasis predominates， the approach involves breaking up blood stasis and promoting purgation， eliminating stasis and awakening the mind， with Taoren Chengqi Decoction （桃核承气汤） as prescription. For deficiency syndrome， the treatment emphasizes tonifying deficiency and raising qi， strengthening the stomach and nourishing the spirit. When center qi deficiency and sinking of clear qi of the nutrients from food， the approach involves replenishing and uplifting qi while nourishing vital activity， with modified Liujunzi Decoction （六君子汤） as prescription； when yin deficiency and fluid consumption， the treatment focuses on nourishing stomach and tonifying yin， promoting fluid production and calming the spirit， with modified Maimendong Decoction （麦门冬汤） combined with Yiwei Decoction （益胃汤） as prescriptions. In clinical situations of deficiency-excess complex， it is essential to distinguish the primary condition from the secondary， applying both supplementing and draining methods flexibly to achieve optimal treatment.

Purpose To investigate the changes of free water(FW)values in the key basal ganglia of dopamine system in the brain of early Parkinson's disease(PD)by free water imaging,and to reveal the potential relationship between the changes and early PD.Materials and Methods From February to December 2023,62 patients with early PD and 27 healthy controls were enrolled in the Parkinson's Disease Progression Markers Project database,and 25 age-and sex-matched healthy controls were self-recruited from Henan Provincial People's Hospital.All subjects underwent clinical scale assessment and MRI data collection.Free water imaging was used to calculate the FW values of key nuclei in dopamine system,and the difference of FW values between PD group and healthy controls group,the correlation between FW values of PD group and clinical scale scores were analyzed.Results The FW values of compact part of substantia nigra(SNc)and ventral tegmental area(VTA)in PD group were significantly higher than those in healthy controls group(Z=2.458-3.914,all P<0.05).Regression analysis showed that FW values of SNc were correlated with the movement disorder society-sponsored revision unified Parkinson′s disease rating scale(MDS-UPDRS)Ⅲ scores and state-trait anxiety inventory(STAI)scores on both sides(r2=0.223,P<0.001;r2=0.125,P=0.018;r2=0.151,P=0.003;r2=0.128,P=0.017),the FW value of VTA on the left was significantly correlated with MDSUPDRS Ⅲ score(r2=0.143,P=0.004)and the FW value of the right VTA was significantly correlated with the STAI score(r2=0.125,P=0.019).Conclusion The FW values of SNc and VTA in PD patients are significantly increased in the early stage,and are correlated with motor and non-motor symptoms in PD patients.FW values may reflect brain degeneration,and this change may be related to the decline of motor and non-motor function in patients.

Objective:To explore the status quo and latent profiles of medical students' sense of meaning in life and the relationships of these profiles with attitudes toward death.Methods:From March to June 2023, 390 medical students from Tianjin Medical University, Tianjin University of Traditional Chinese Medicine, Tianjin Medical College, and Tangshan Polytechnic University were selected as the subjects. The research tools included the General Information Questionnaire, the Chinese version of the Meaning in Life Questionnaire, and the Chinese version of the Death Attitude Profile-Revised. The latent profiles of the sense of meaning in life among medical students were analyzed using Mplus 8.3 software. SPSS 26.0 software was used to analyze the general data and the relationships between different latent profiles and attitudes toward death.Results:Medical students generally demonstrated a moderately high level of meaning in life, which could be divided into two latent profiles: the negative-uncertain type (28.46%) and the positive-oriented type (71.54%). Logistic regression analysis showed that perceptions of the importance of life education, the most appropriate timing for its implementation, and familiarity with concepts such as hospice care, palliative care and end of life care were identified as factors influencing the latent profiles of meaning in life among medical students. Students in the positive-oriented profile were more likely to exhibit a natural acceptance attitude toward death.Conclusion:There is heterogeneity in medical students' sense of meaning in life. Educators can set up appropriate life education curricula at various stages of student development to support their growth into competent healthcare professionals.

Objective:To explore the status quo and latent profiles of medical students' sense of meaning in life and the relationships of these profiles with attitudes toward death.Methods:From March to June 2023, 390 medical students from Tianjin Medical University, Tianjin University of Traditional Chinese Medicine, Tianjin Medical College, and Tangshan Polytechnic University were selected as the subjects. The research tools included the General Information Questionnaire, the Chinese version of the Meaning in Life Questionnaire, and the Chinese version of the Death Attitude Profile-Revised. The latent profiles of the sense of meaning in life among medical students were analyzed using Mplus 8.3 software. SPSS 26.0 software was used to analyze the general data and the relationships between different latent profiles and attitudes toward death.Results:Medical students generally demonstrated a moderately high level of meaning in life, which could be divided into two latent profiles: the negative-uncertain type (28.46%) and the positive-oriented type (71.54%). Logistic regression analysis showed that perceptions of the importance of life education, the most appropriate timing for its implementation, and familiarity with concepts such as hospice care, palliative care and end of life care were identified as factors influencing the latent profiles of meaning in life among medical students. Students in the positive-oriented profile were more likely to exhibit a natural acceptance attitude toward death.Conclusion:There is heterogeneity in medical students' sense of meaning in life. Educators can set up appropriate life education curricula at various stages of student development to support their growth into competent healthcare professionals.

Objective:To investigate the value of coronary CTA (CCTA)-based traditional features and radiomics of plaque in the identification of culprit lesions that caused acute myocardial infarction (AMI).Methods:This was a retrospective multicenter study. From July 2016 to November 2023, a total of 344 patients from the Affiliated Hospital of Qingdao University (training cohort, n=184), Shandong Provincial Hospital Affiliated to Shandong First Medical University (validation cohort, n=88) and Qilu Hospital of Shandong University (test cohort, n=72) who received percutaneous coronary intervention (PCI) due to AMI and underwent CCTA within 48 hours of AMI were enrolled. The culprit plaques and non-culprit plaques were identified using a combination of electrocardiogram, CCTA, and angiographic findings. The vessel, plaque location, plaque type, Coronary Artery Disease-Reporting and Data System (CAD-RADS) score, high-risk plaque characteristics, plaque length, plaque volume, and burden were analyzed, and 1 904 radiomics features were extracted for each plaque. The traditional imaging model, the radiomics model, and the combined model were established by using multivariate Logistic regression analysis. The area under the receiver operating characteristic curve (AUC) was used to evaluate the performance of each model in identifying culprit lesions. The DeLong test was used for the comparison of AUC between every two models. The net reclassification index (NRI) was used to evaluate the incremental value of the combined model to the traditional imaging model and the radiomics model. The decision curve analysis (DCA) was used to assess the clinical net benefit of these models. A correlation heatmap was used to evaluate the correlation between the radiomics score and traditional CCTA factors. The interpretable analysis of the decision process of the combined model was performed by the Shapley Additive exPlanations (SHAP). Results:In the validation cohort and the test cohort, the AUC of the traditional imaging model developed by the vessel, plaque type, positive remodeling and CAD-RADS score was 0.898 (95% CI 0.869-0.922) and 0.881 (95% CI 0.848-0.910), respectively. The radiomics model developed by six radiomics features was 0.863 (95% CI 0.831-0.891) and 0.863 (95% CI 0.827-0.864), respectively. The AUC of the combined model was 0.930 (95% CI 0.905-0.950)and 0.919 (95% CI 0.889-0.942), respectively. In the validation cohort and the test cohort, the AUC of the combined model was higher than that of the traditional imaging model ( Z=4.013, 4.272, P<0.001) and that of the radiomics model ( Z=4.819, 3.784, P<0.001), respectively. In the validation cohort, the combined model yielded an NRI of 20.43% (95% CI 10.43%-30.44%, P<0.001) and 20.21% (95% CI 9.62%-30.80%, P<0.001) for identifying culprit lesions compared with the traditional imaging model and the radiomics model, respectively. In the test cohort, the combined model yielded an NRI of 28.05% (95% CI 16.72%-39.38%, P<0.001) and 23.57% (95% CI 13.58%-33.56%, P<0.001) for identifying culprit lesions compared with the traditional imaging model and the radiomics model, respectively. DCA showed the combined model had the highest clinical net benefit. The correlation heatmap showed the radiomics score was not correlated or only weakly correlated with traditional CCTA factors. SHAP indicated the radiomics and CAD-RADS score contributed significantly to the model. Conclusion:The CCTA-based traditional features and radiomics of plaque have favorable performance for the identification of culprit plaques in patients with AMI.

Purpose To investigate the changes of free water(FW)values in the key basal ganglia of dopamine system in the brain of early Parkinson's disease(PD)by free water imaging,and to reveal the potential relationship between the changes and early PD.Materials and Methods From February to December 2023,62 patients with early PD and 27 healthy controls were enrolled in the Parkinson's Disease Progression Markers Project database,and 25 age-and sex-matched healthy controls were self-recruited from Henan Provincial People's Hospital.All subjects underwent clinical scale assessment and MRI data collection.Free water imaging was used to calculate the FW values of key nuclei in dopamine system,and the difference of FW values between PD group and healthy controls group,the correlation between FW values of PD group and clinical scale scores were analyzed.Results The FW values of compact part of substantia nigra(SNc)and ventral tegmental area(VTA)in PD group were significantly higher than those in healthy controls group(Z=2.458-3.914,all P<0.05).Regression analysis showed that FW values of SNc were correlated with the movement disorder society-sponsored revision unified Parkinson′s disease rating scale(MDS-UPDRS)Ⅲ scores and state-trait anxiety inventory(STAI)scores on both sides(r2=0.223,P<0.001;r2=0.125,P=0.018;r2=0.151,P=0.003;r2=0.128,P=0.017),the FW value of VTA on the left was significantly correlated with MDSUPDRS Ⅲ score(r2=0.143,P=0.004)and the FW value of the right VTA was significantly correlated with the STAI score(r2=0.125,P=0.019).Conclusion The FW values of SNc and VTA in PD patients are significantly increased in the early stage,and are correlated with motor and non-motor symptoms in PD patients.FW values may reflect brain degeneration,and this change may be related to the decline of motor and non-motor function in patients.

Anti-leucine-rich glioma-inactivated 1 protein (LGI1) antibody-associated encephalitis is an autoimmune encephalitis mediated by LGI1 antibodies, which can occur in both adults and children. Its common clinical manifestations include epileptic seizures, cognitive and psychiatric disorders; rare symptoms include sleep disorders and autonomic disorders; and its characteristic manifestations are faciobrachial dystonic seizures and refractory hyponatremia. Since anti-LGI1 antibody-associated encephalitis is relatively rare in clinical practice, this article reviews the disease in terms of etiology and pathogenesis, clinical manifestations, auxiliary examinations, diagnosis and differential diagnosis, treatment, recurrence and prognosis. It aims to improve clinicians′ understanding of this disease, provide references for its early diagnosis and treatment, and thereby improve patients′ prognosis.