Objective To construct a nomogram model for prolonged length of stay in patients with acute cerebral infarction(ACI)based on total cerebral small vessel disease(CSVD)burden scores,and validate its effectiveness.Methods A total of 462 ACI patients admitted to the Department of Neurology of South Taihu Hospital Affiliated To Huzhou College from January 2021 to December 2023 were selected as the study subjects.According to the ratio of 7:3,patients were divided into training group of 323 cases and validation group of 139 cases.Lasso-Logistic regression was used to analyze the risk factors for prolonged length of stay in ACI patients,construct a nomogram model and validate the model using validation data.Receiver operating characteristic(ROC)curve were used to evaluate the predictive performance of the model.Results Based on the training group data,Lasso regression screened four non-zero coefficient indicators,including baseline National Institutes of Health stroke scale(NIHSS)score,age-adjusted Charlson comorbidity index(aCCI)score,neutrophil to lymphocyte ratio(NLR)and total CSVD burden score.Multivariate Logistic regression analysis showed that baseline NIHSS score,aCCI score,NLR and total CSVD burden score were independent risk factors for prolonged length of stay in ACI patients(P＜0.05).Based on the above four indicators,a nomogram model was constructed.The results showed that the ROC curve area of the model predicted prolonged length of stay between training group and validation group were 0.812(95％CI:0.756-0.868)and 0.820(95％CI:0.730-0.909).Conclusion The nomogram model for prolonged length of stay in ACI patients based on total CSVD burden score has good predictive performance and can be used as a screening tool for evaluating the prolonged length of stay in ACI patients.

Pain modulation encompasses a complex neurobiological process, in which the lateral habenula (LHb) plays a crucial role in integrating, regulating and modulating pain signals. It is also involved in pain-related memory functions associated with perception, transmission and regulation of pain. Furthermore, the LHb collaborates with structures such as the spinal dorsal horn, forebrain, and amygdala to form an essential neural circuit that contributes to sensitization, development of tolerance, and adaptation processes related to pain. However, there remains limited understanding regarding the specific roles and interactions among different neuron subtypes within the LHb concerning pain regulation. Additionally, further investigation is warranted to explore functional changes and plasticity within both the LHb and its associated neural circuits in chronic pain models. Future research endeavors should utilize advanced neuroimaging techniques alongside optogenetics and gene editing technologies to elucidate intricate neural circuits, cellular architecture, and molecular mechanisms governing LHb function in pain regulation. In conclusion, this paper aims to comprehensively review existing literature on the involvement of the LHb and its neural circuits in modulating pain, thereby enhancing our understanding of their neurobiological mechanisms while providing novel targets for precise therapeutic strategies aimed at alleviating pain.

Pain modulation encompasses a complex neurobiological process, in which the lateral habenula (LHb) plays a crucial role in integrating, regulating and modulating pain signals. It is also involved in pain-related memory functions associated with perception, transmission and regulation of pain. Furthermore, the LHb collaborates with structures such as the spinal dorsal horn, forebrain, and amygdala to form an essential neural circuit that contributes to sensitization, development of tolerance, and adaptation processes related to pain. However, there remains limited understanding regarding the specific roles and interactions among different neuron subtypes within the LHb concerning pain regulation. Additionally, further investigation is warranted to explore functional changes and plasticity within both the LHb and its associated neural circuits in chronic pain models. Future research endeavors should utilize advanced neuroimaging techniques alongside optogenetics and gene editing technologies to elucidate intricate neural circuits, cellular architecture, and molecular mechanisms governing LHb function in pain regulation. In conclusion, this paper aims to comprehensively review existing literature on the involvement of the LHb and its neural circuits in modulating pain, thereby enhancing our understanding of their neurobiological mechanisms while providing novel targets for precise therapeutic strategies aimed at alleviating pain.

Objective To construct a nomogram model for prolonged length of stay in patients with acute cerebral infarction(ACI)based on total cerebral small vessel disease(CSVD)burden scores,and validate its effectiveness.Methods A total of 462 ACI patients admitted to the Department of Neurology of South Taihu Hospital Affiliated To Huzhou College from January 2021 to December 2023 were selected as the study subjects.According to the ratio of 7:3,patients were divided into training group of 323 cases and validation group of 139 cases.Lasso-Logistic regression was used to analyze the risk factors for prolonged length of stay in ACI patients,construct a nomogram model and validate the model using validation data.Receiver operating characteristic(ROC)curve were used to evaluate the predictive performance of the model.Results Based on the training group data,Lasso regression screened four non-zero coefficient indicators,including baseline National Institutes of Health stroke scale(NIHSS)score,age-adjusted Charlson comorbidity index(aCCI)score,neutrophil to lymphocyte ratio(NLR)and total CSVD burden score.Multivariate Logistic regression analysis showed that baseline NIHSS score,aCCI score,NLR and total CSVD burden score were independent risk factors for prolonged length of stay in ACI patients(P＜0.05).Based on the above four indicators,a nomogram model was constructed.The results showed that the ROC curve area of the model predicted prolonged length of stay between training group and validation group were 0.812(95％CI:0.756-0.868)and 0.820(95％CI:0.730-0.909).Conclusion The nomogram model for prolonged length of stay in ACI patients based on total CSVD burden score has good predictive performance and can be used as a screening tool for evaluating the prolonged length of stay in ACI patients.

Objective:To explore the main factors of hypothyroidism after radiotherapy and to identify the optimal thyroid dosimetric parameters by analyzing the dosimetric parameters of the thyroid.Methods:The general clinical characteristics and dosimetric parameters of 206 patients with nasopharyngeal carcinoma treated in Cancer Hospital of University of Chinese Academy of Sciences were collected, and the correlation between them and the incidence of hypothyroidism was analyzed.Results:The incidence of hypothyroidism in patients with nasopharyngeal carcinoma after radiotherapy was 50.49%(104/206). Univariate analysis showed that gender, N-stage, volume, mean dose, V 20Gy, V 25Gy, V 30Gy, V 35Gy, V 40Gy, V 45Gy of thyroid were associated with the incidence of hypothyroidism. Multivariate analysis demonstrated that volume (≤12.82 cm 3) and mean dose of thyroid were the independent risk factors of hypothyroidism. Mean dose of thyroid combined with volume could significantly predict the incidence of hypothyroidism after radiotherapy. Conclusion:Mean dose of thyroid ≤ 47.21 Gy is the optimal dosimetric parameter for radiation-induced hypothyroidism, especially the patients with thyroid volume ≤ 12.82 cm 3 should pay more attention to the protection of thyroid gland during radiotherapy.

Objective:To analyze the relationship between hematological examination combined with clinical factors and radiation-induced hypothyroidism (HT) in patients with nasopharyngeal carcinoma (NPC).Methods:Clinical data of 206 patients with NPC who received radiotherapy in Cancer Hospital of University of Chinese Academy of Sciences between January 2015 to August 2018 were retrospectively analyzed. The correlation between general clinical data, hematological examination and HT was analyzed to establish a hematological prediction model.Results:Univariate analysis showed that sex, N-stage, thyroid volume, average dose, V 20Gy, V 25Gy, V 30Gy, V 35Gy, V 40Gy, V 45Gy, fibrinogen content, cholinesterase and neutrophil count were closely associated with the incidence of HT. Multivariate analysis showed that thyroid volume, fibrinogen content and cholinesterase were the independent predictors of HT. Conclusion:The combination of sex, N-stage, thyroid volume, dose parameters, fibrinogen content, cholinesterase, neutrophil percentage and neutrophil count can predict the incidence of HT (AUC=0.777).

Histone lysine specific demethylase 1 (LSD1) has been recognized as an important modulator in post-translational process in epigenetics. Dysregulation of LSD1 has been implicated in the development of various cancers. Herein, we report the discovery of the hit compound (IC = 3.93 μmol/L) and further medicinal chemistry efforts, leading to the generation of compound (IC = 49 nmol/L, and = 16 nmol/L), which inhibited LSD1 reversibly and competitively with H3K4me2, and was selective to LSD1 over MAO-A/B. Docking studies were performed to rationalize the potency of compound . Compound also showed strong antiproliferative activity against four leukemia cell lines (OCL-AML3, K562, THP-1 and U937) as well as the lymphoma cell line Raji with the IC values of 1.79, 1.30, 0.45, 1.22 and 1.40 μmol/L, respectively. In THP-1 cell line, significantly inhibited colony formation and caused remarkable morphological changes. Compound induced expression of CD86 and CD11b in THP-1 cells, confirming its cellular activity and ability of inducing differentiation. The findings further indicate that targeting LSD1 is a promising strategy for AML treatment, the triazole-fused pyrimidine derivatives are new scaffolds for the development of LSD1/KDM1A inhibitors.

Objective: To investigate the epidemic status and influencing factors of colorectal polyps among urban residents in Lanxi. Methods: A representative urban community was selected from Lanxi. A total of 935 local residents aged 18-80 years received questionnaire survey,physical examination,laboratory tests and colonoscopy. Multivariate Logistic regression analysis was applied to exam the potential influencing factors for colorectal polyps. Results : Eventually 880 residents were involved into the statistical analysis. Colorectal polyps were detected in 167 participants with a crude prevalence of 18.98% and adjusted prevalence for age and gender of 13.28%. The prevalence of colorectal polyps in men（28.70%）was significantly higher than that in women（12.92%,P<0.05）. The results of logistic regression analysis showed that age（OR=1.038,95%CI：1.018-1.057）,males（OR=1.919,95%CI：1.303-2.826）,the middle school level of education（OR=2.443,95%CI：1.507-3.961）and constitution of Yin-Asthenia（OR=0.203,95%CI：0.057-0.720）were influencing factors for colorectal polyps;among male participants,hypertension（OR=1.721,95%CI：1.018-2.908）was a risk factor for colorectal polyps;among female participants,age（OR=1.076,95%CI：1.042-1.111）,BMI（OR=1.099,95%CI：1.001-1.207）,the middle school level of education（OR= 3.507,95%CI：1.794-6.856）and constitution of Yin-Asthenia（OR=0.160,95%CI：0.033-0.770）were influencing factors for colorectal polyps. Conclusion Age,sex,education level and constitution of Yin-Asthenia were associated with the risk of colorectal polyps among residents in Lanxi;hypertension was associated with the risk of colorectal polyps in males,while age,BMI,education level and constitution of Yin-Asthenia were associated with the risk of colorectal polyps in females.