Objective: To investigate the current status of benefit finding among young and middle-aged patients with type 2 diabetes mellitus (T2DM) and analyze its influencing factors, so as to provide a reference for improving the level of benefit finding in this population. Methods: From November 2022 to May 2023, young and middle-aged patients with T2DM aged 18-59 years hospitalized in the endocrinology departments of 2 tertiary hospitals in Hengyang City, Hunan Province were selected as survey subjects by a convenience sampling method. Basic demographic information was collected using a general questionnaire survey. Benefit finding, resourcefulness, and stigma were evaluated using the Benefit Finding Scale, the Chinese Version of the Resourcefulness Scale, and the Type 2 Diabetes Stigma Assessment Scale, respectively. A multiple linear regression model was used to analyze the influencing factors of benefit finding among young and middle-aged patients with T2DM. Results: A total of 305 young and middle-aged patients with T2DM were investigated, including 222 males (72.79%) and 83 females (27.21%). There were 231 cases aged 45-59 years, accounting for 75.74%. The scores for benefit finding, resourcefulness, and stigma were (42.86±6.06), (75.12±11.30), and (41.20±10.10), respectively. Multiple linear regression analysis showed that young and middle-aged patients with T2DM who were male (β′=0.088), aged 18-<45 years (β′=0.083), absence of diabetes complications (β′=0.124), and had higher resourcefulness scores (β′=0.679) had higher levels of benefit finding, while patients with higher stigma scores (β′=-0.097) had lower levels of benefit finding. Conclusion The level of benefit finding among young and middle-aged patients with T2DM was moderate, and was related to gender, age, diabetes complications, resourcefulness, and stigma.

[摘 要] 目的：探讨胰岛素样生长因子2 mRNA结合蛋白3（IGF2BP3）、尿苷二磷酸-葡萄糖醛酸脱羧酶1（UXS1）在肝细胞癌（HCC）中的表达特征、预后价值及两者协同作用的分子机制。方法：整合UALCAN、cBioPortal、ENCORI、TISCH2、GDSC等公共数据库的转录组数据，对IGF2BP3和UXS1进行表达、预后评估、功能富集及药物敏感性等分析。收集GEO数据库的单细胞RNA测序（scRNA-seq）数据，分析细胞通信、单细胞代谢评分，系统解析IGF2BP3-UXS1轴在HCC中的具体作用。结果：IGF2BP3、UXS1在HCC组织中均显著高表达，且高表达患者总生存期显著缩短（均P < 0.05）。采用CRISPP技术敲除IGF2BP3或UXS1后，多种HCC细胞的增殖能力受到明显抑制。scRNA-seq分析揭示了IGF2BP3、UXS1在肝细胞等细胞类型中的广泛表达分布，前者在细胞分化晚期上调，后者则在细胞分化早、中期高表达。IGF2BP3、UXS1高表达组均显著激活了MIF通路，同时IGF2BP3的高表达削弱了成纤维细胞的相互作用，而UXS1的高表达则增强了T细胞的信号转导功能。IGF2BP3与UXS1在表达相关性中存在显著的正相关（r = 0.432，P < 0.05）。沉默IGF2BP3结合位点会导致UXS1表达水平变化（F = 0.333）。功能富集分析提示，IGF2BP3与UXS1协同调控能量代谢、蛋白质翻译等生物学过程。在IGF2BP3或UXS1高表达的细胞亚群中，发现两者与多个糖代谢相关通路存在显著关联。IGF2BP3、UXS1高表达的患者对优普色替等药物表现出显著的敏感性，还对药物那维托克等表现出显著的耐药性。结论： IGF2BP3、UXS1在HCC中高表达，两者通过调控糖代谢重编程的协同作用促进HCC恶性生物学行为。

ObjectiveTo observe the effect of Shenshu Fujian decoction on platelet-derived growth factor （PDGF）/naked cuticle homolog 2 （NKD2） /Wnt signaling pathway in rats with chronic renal failure （CRF）. MethodsSixty male SD rats were randomly divided into normal group， model group， Niaoduqing group （5 g·kg^-1）， low-dose Shenshu Fujian decoction group （5.5 g·kg^-1）， medium-dose Shenshu Fujian decoction group （11 g·kg^-1）， and high-dose Shenshu Fujian decoction group （22 g·kg^-1）， with 10 rats in each group. A CRF rat model was established by feeding a 0.5% adenine diet for 21 days. After successful modeling， intragastric administration was given once daily for 28 consecutive days. After treatment， the renal morphology of rats was observed. Serum creatinine （SCr） and blood urea nitrogen （BUN） levels were detected. Hematoxylin-eosin （HE） staining and Masson staining were used to detect renal histopathological changes， and collagen volume fraction （CVF） was calculated. Serum levels of inflammatory markers interleukin （IL）-1β and IL-6 were measured using enzyme-linked immunosorbent assay （ELISA）. The expressions of fibronectin 1 （FN1）， type Ⅰ collagen （ColⅠ）， α-smooth muscle actin （α-SMA）， platelet-derived growth factor receptor-β （PDGFR-β）， NKD2， dishevelled protein 2 （DVL2） and β-catenin in renal tissue were detected by immunohistochemistry and Western blot. ResultsCompared with the normal group， the model group showed significant renal pathological changes， a markedly increased kidney weight/body weight ratio （P<0.01）， significantly elevated CVF （P<0.01）， and notably increased serum levels of SCr， BUN， IL-1β， and IL-6 （P<0.01）. Expression levels of FN1， ColⅠ， α-SMA， PDGFR-β， NKD2， DVL2， and β-catenin in renal tissue were also significantly increased （P<0.01）. Compared with the model group， all treatment groups showed significantly decreased kidney weight/body weight ratios and CVF （P<0.01）， as well as markedly decreased serum SCr， BUN， IL-1β， and IL-6 levels. Protein expression levels of FN1， ColⅠ， α-SMA， PDGFR-β， NKD2， DVL2， and β-catenin in renal tissue were decreased， with more pronounced effects observed in the Niaoduqing， medium-dose， and high-dose Shenshu Fujian decoction groups （P<0.05， P<0.01）. ConclusionShenshu Fujian decoction improves renal function， reduces inflammation， and reverses renal fibrosis in CRF rats， possibly by downregulating the expression of PDGF/NKD2/Wnt signaling pathway-related proteins.

Cemental tear is a rare and indetectable condition unless obvious clinical signs present with the involvement of surrounding periodontal and periapical tissues. Due to its clinical manifestations similar to common dental issues, such as vertical root fracture, primary endodontic diseases, and periodontal diseases, as well as the low awareness of cemental tear for clinicians, misdiagnosis often occurs. The critical principle for cemental tear treatment is to remove torn fragments, and overlooking fragments leads to futile therapy, which could deteriorate the conditions of the affected teeth. Therefore, accurate diagnosis and subsequent appropriate interventions are vital for managing cemental tear. Novel diagnostic tools, including cone-beam computed tomography (CBCT), microscopes, and enamel matrix derivatives, have improved early detection and management, enhancing tooth retention. The implementation of standardized diagnostic criteria and treatment protocols, combined with improved clinical awareness among dental professionals, serves to mitigate risks of diagnostic errors and suboptimal therapeutic interventions. This expert consensus reviewed the epidemiology, pathogenesis, potential predisposing factors, clinical manifestations, diagnosis, differential diagnosis, treatment, and prognosis of cemental tear, aiming to provide a clinical guideline and facilitate clinicians to have a better understanding of cemental tear.
Humans ; Dental Cementum/injuries* ; Consensus ; Diagnosis, Differential ; Cone-Beam Computed Tomography ; Tooth Fractures/therapy*

Objective To investigate the relationship between the expression of serum microRNA(miR)-488 and miR-184 and the occurrence of preeclampsia in patients with gestational hypertension.Methods A to-tal of 128 patients with gestational hypertension admitted to a hospital from June 2022 to March 2023 were se-lected and divided into the simple gestational hypertension group(55 cases)and the combined with pre-eclampsia group(73 cases)according to whether they developed preeclampsia.Another 46 healthy pregnant women in the same period were selected as the control group.Real-time fluorescence quantitative polymerase chain reaction was used to detect miR-488 and miR-184 expression in each group,and multiple Logistic regres-sion was used to analyze the influencing factors of the occurrence of preeclampsia in patients with gestational hypertension.Receiver operating characteristic(ROC)curve was used to analyze the predictive value of each influencing factor in the occurrence of preeclampsia in patients with gestational hypertension,and Pearson cor-relation was used to analyze the correlation between serum miR-488,miR-184 and placental growth factor.Re-sults Compared with the control group,the expressions of serum miR-488 and miR-184 were increased in the simple pregnancy hypertension group and the combined with preeclampsia group,and the differences were sta-tistically significant(P<0.05).Compared with mild preeclampsia group,serum miR-488 and miR-184 ex-pressions were increased in severe preeclampsia group,and the difference was statistically significant(P<0.05).There were significant differences in gravida and parity,systolic blood pressure,diastolic blood pres-sure,urinary protein quantity and placental growth factor levels between the combined with preeclampsia group and the simple pregnancy hypertension group(P<0.05).Multiple Logistic regression analysis showed that gravida and parity,systolic blood pressure,diastolic blood pressure,urinary protein quantity,miR-488 and miR-184 were risk factors for preeclampsia in patients with gestational hypertension(P<0.05),and placental growth factor was protective factor for preeclampsia in patients with gestational hypertension(P<0.05).ROC curve analysis showed that the prediction efficiency of miR-488+miR-184 was significantly better than that of serum miR-488(Z=2.530,P=0.011)and miR-184(Z=2.437,P=0.015)alone.Serum miR-488 and miR-184 were negatively correlated with placental growth factor(r=-4.361,-4.288,P<0.05).Con-clusion Serum miR-488 and miR-184 have predictive value in the occurrence of preeclampsia in patients with gestational hypertension.

Objective To explore the influencing factors of the failure in trial of labor after cesarean(TOLAC),construct and verify a prediction model for the risk of TOLAC.Methods The clinical data of 273 pregnant women who underwent TOLAC in The First Affiliated Hospital of Naval Medical University from 2019 to 2022 were retrospectively analyzed.Logistic regression was used to analyze influencing factors of the failure in TOLAC,and a nomogram model was established for individualized risk assessment.The best threshold of failure risk of TOLAC was evaluated by the decision-making curve and clinical influence curve.Results There were statistically significant differences in the age,gestational week,body mass index(BMI)before delivery,time to the last cesarean,cervical Bishop score and delivery times between the successful trial delivery group and the failed trial delivery group.The best intervention threshold was 0.72,that is,vaginal trial delivery should to be stopped when the risk of TOLAC failure was more than 72%as evaluated by the prediction model.Conclusion Age,gestational week,BMI before delivery,time to the last cesarean,Bishop score of cervix and delivery times are influencing factors for TOLAC failure.The prediction model based on these factors can provide a quantifiable TOLAC risk for pregnant women.

The study was carried out to understand the changes in the ethical cognition status of laboratory animals and the effectiveness of laboratory animal ethics education among medical students in Xiangya School of Medicine of Central South University (CSU), and provide new enlightenment for further strengthening the ethical education of laboratory animals. In the study, the same self-compiled questionnaire was used to investigate the ethical cognition of experimental animals among medical students in Xiangya School of Medicine of CSU in 2011 and 2021, and 359 and 363 questionnaires were collected respectively. Through comparative analysis of the questionnaire results before and after ten years, it was found that medical students’ animal experiment operation and attitudes towards laboratory animals, cognition of experimental animal ethics knowledge and their attitude to animal experiment ethics education were significantly improved. It showed that the state of experimental animal ethics cognition among medical students in Xiangya School of Medicine of CSU had improved significantly in recent 10 years, but the cognition of experimental animal ethics knowledge was higher than the actual behavior of caring for experimental animals, and there was the phenomenon of "separation of knowledge and action". The ethics education of experimental animals needs to pay more attention to the development of students’ behavior of caring for experimental animals.

ObjectiveTo study the characteristics of imprinting template of flavonoid clusters in four Chinese medicines attributed to the lung meridian， and to establish an in vitro experimental approach for the study of the attribution of Chinese medicines to the lung meridian. MethodBased on 13 Chinese medicines， including Xanthii Fructus， Houttuyniae Herba， Fagopyri Dibotryis Rhizoma， Belamcandae Rhizoma and so on， which only belong to the lung meridian in Chinese Materia Medica（the 13^th Five-Year planning textbook of general higher education）， we identified four representative Chinese medicines， namely Houttuyniae Herba， Fagopyri Dibotryis Rhizoma， Belamcandae Rhizoma and Mori Cortex， and set up their fingerprints by high performance liquid chromatography（HPLC） and calculated the molecular connectivity indices of various components in the four Chinese medicines， the similarity to their mean value was calculated by included angle cosine method， so as to establish the quantitative relationship of construction versus imprinting ability， and to determine the order of each component in the lung meridian. A total of 7 reference substances， including chlorogenic acid， rutin， quercetin， isoquercitrin， hyperoside， epicatechin， and iridin， were selected to validate the overall conformational relationships of flavonoids of the model， as well as its predictive ability. ResultHouttuyniae Herba， Fagopyri Dibotryis Rhizoma， Belamcandae Rhizoma and Mori Cortex contained a total of 437 chemical components with an average molecular connectivity index similarity of 0.995 6. The four Chinese medicines contained a total of 204 flavonoids with an average molecular connectivity index similarity of 0.978 0， which was second only to the alkaloids with 0.985 1. The retention time（t_R） of the 7 reference substances showed a good conformational relationship with the similarity of the molecular connectivity index（t_R=831.4×S-790.3， r=0.861 4， P<0.01）， which was applicable to the in vitro attribution study of the position， similarity， and relative similarity with t_R of the cluster of 98.04% of flavonoids. Accordingly， the 1^st position was kuwanon D， with a similarity of molecular connectivity index of 0.987 7 and a t_R of 30.88 min， the 200^th position was chlorogenic acid， with a similarity of molecular connectivity index of 0.958 2 and a t_R of 6.36 min. The total first-order moment of the four Chinese medicines calculated by total statistical moment method of fingerprint was 24.26 min， ranked 21， which could characterize 99.19% of the whole， and the total first-order moment of the total peak area of the 7 reference substances in the four Chinese medicines was 20.00 min， with a rank of 46， which could characterize 98.68% of the whole. ConclusionFlavonoid clusters are suitable probes for the characterization of imprinting template for the study of the lung meridian， which can be established a quantitative imprinting method for meridian tropism of Chinese medicines in vitro.

Objective:To investigate the relationship between intracerebral high-density foci and progressive stroke (PS) morbidity by using dual-energy CT, which can quantify the intracerebral high-density foci of patients with acute ischemic stroke after endovascular treatment.Methods:Ninety-two patients with acute ischemic stroke who received interventional treatment in Gaozhou People′s Hospital from May 2019 to August 2020, and underwent dual-energy CT scan immediately after intervention, were analyzed. The patients were divided into PS group ( n=35) and non-PS group ( n=57) according to the National Institutes of Health Stroke Scale (NIHSS) score, and the patients whose NIHSS score increased≥4 points within 72 hours of stroke were included in the PS group, while the patients whose NIHSS score increased<4 points were included in the non-PS group. The clinical data, volume of high-density foci and CT values were compared between the 2 groups. Logistic regression analysis was used to adjust for confounding factors and screen for risk factors. The correlations of the admission NIHSS score, presence and volume of high-density lesions, maximum CT (CTmax) value and average CT (CTave) value with the onset of PS were analyzed, and the receiver operating characteristic curve was used to screen predictive indicators of PS. Results:In the PS group, the NIHSS score (18.80±8.50 vs 14.40±9.58, t=2.229, P=0.028), proportion of high-density foci [29/35(82.9%) vs 32/57 (56.1%), χ 2=6.928, P=0.008], high-density focal volume [13.23 (39.33) cm 3vs 0.76 (9.82) cm 3, U=1 440.000, P<0.001], CTmax value [80.00 (92.00) HU vs 65.00 (87.50) HU, U=1 337.000, P=0.005] and CTave value [53.48 (23.79) HU vs 45.94 (55.11) HU, U=1 345.000, P=0.004] were higher than those in the non-PS group. The NIHSS score ( OR=1.054, 95% CI 1.004-1.106, P=0.033; rs=0.255, 95% CI 0.051-0.447, P=0.014), presence of high-density foci ( OR=3.776, 95% CI 1.358-10.503, P=0.011; rs=0.274, 95% CI 0.093-0.460, P=0.008), high-density focal volume ( OR=1.026, 95% CI 1.003-1.049, P=0.027; rs=0.381, 95% CI 0.183-0.560, P<0.001), CTmax value ( OR=1.006, 95% CI 1.001-1.011, P=0.014; rs=0.292, 95% CI 0.088-0.475, P=0.005) and CTave value ( OR=1.021, 95% CI 1.007-1.035, P=0.004; rs=0.299, 95% CI 0.092-0.484, P=0.004) were all risk factors affecting PS morbidity and were positively correlated with PS morbidity. The area under the receiver operating characteristic curve of NIHSS score, high-density lesion volume, CTmax value, and CTave value to predict the onset of PS was 0.652, 0.722, 0.670 and 0.674, respectively. The volume of high-density lesions had moderate predictive value for the onset of PS. Conclusions:For AIS patients, CT examination should be performed immediately after interventional operation. The volume, CTmax value and CTave value of high-density lesions newly appeared in the ischemic area are positively correlated with the onset of PS. Quantifying the volume of high-density lesions can help to predict the onset of PS.

Objective This study aims to build a differential diagnosis model for unipolar and bipolar depression based on clinical features and blood indicators.Methods According to inclusion and exclusion criteria,participants with unipolar and bipolar depression were included,and clinical data and blood test indicators of the participants were extracted.The data were randomly divided into a training set and a testing set.Classification models were trained on the training set using extreme gradient boosting based on different feature combinations,and the performance of the models was validated on the testing set.Receiver operating characteristic(ROC),area under curve(AUC),sensitivity,specificity and accuracy were used to evaluate model performance.The SHapley additive explanations(SHAP)method was used to calculate the importance of selected features for the differential diagnosis of unipolar and bipolar depression.Results In the unipolar and bipolar depression classification model,the XGBoost model performs the best,with an AUC of 0.889,sensitivity of 0.831,specificity of 0.839,and accuracy of 0.863.The main features in this model include duration of illness,age of onset,albumin,low-density lipoprotein,blood potassium concentration,white blood cell count,platelet/lymphocyte ratio,and monocytes.Conclusion Duration of illness and hematological biomarkers,which are easily obtainable in clinical settings,can provide important support for the differential diagnosis of unipolar and bipolar depression.