Objective To observe the changes in functional connectivity(FC)of raphe nucleus in patients with first-episode depression complicated with suicidal ideation(SI).Methods Ninety-eight first-episode depression patients were prospectively enrolled and assigned into SI group(n=56)or non SI group(n=42)based on complicated with SI or not,while 47 healthy volunteers were recruited as control group.Resting-state functional MRI was performed.FC between dorsal raphe nucleus(DRN),median raphe nucleus(MRN)and the whole brain were analyzed and compared among 3 groups and between each 2 groups,and the correlations of FC of different brain regions with clinical data of SI group were explored.Results Compared with control group,FC between DRN and left cerebellum and left putamen in SI group and non SI group decreased(all P＜0.05),between MRN and right inferior temporal gyrus increased but between MRN and left inferior frontal gyrus,right superior occipital gyrus,left inferior parietal lobule,left putamen decreased(all P＜0.05).FC between DRN and left putamen in SI group was higher than that in non SI group(P＜0.05).FC between MRN and right central posterior gyrus of SI group increased compared with that in the rest 2 groups(both P＜0.05).FC between MRN and left putamen in SI group was positively correlated with body mass score of Hamilton depression scale-24(HAMD-24)(rs=0.297,P=0.026).Conclusion Abnormal changes of FC between raphe nucleus and cortex,also between raphe nucleus and subcortical area occurred,and FC between MRN and left putamen positively correlated with body mass score of HAMD-24 in patients with first-episode depression complicated with SI.

Objective:To investigate associations of serum vascular endothelial growth factor (VEGF) and vascular endothelial growth factor receptor 2 (VEGFR2) with carotid plaque stability in elderly patients with acute ischemic stroke (AIS).Methods:Elderly AIS patients with carotid plaque detected by carotid ultrasound in the First People's Hospital of Xianyang from April 2022 to April 2024 were selected, and they were further divided into stable plaque group and vulnerable plaque group. Multivariate logisitic regression analysis was used to determine the correlation between serum VEGF/VEGFR2 and carotid plaque stability. Receiver operating characteristic (ROC) curve was used to analyze the differential value of serum VEGF and VEGFR2 on plaque stability. Results:A total of 183 patients were enrolled, including 139 males (75.96%), aged 68.10±4.97 years. One hundred and one patients (55.19%) had vulnerable plaques, and 82 (44.81%) had stable plaques. There were significant differences in age, triglycerides, VEGF, VEGFR2, baseline National Institutes of Health Stroke Scale scores, and the proportion of patients with hypertension, diabetes, smoking, and statins between the vulnerable plaque group and the stable plaque group (all P<0.05). Multivariate logistic regression analysis showed that serum VEGF (odds ratio [ OR] 1.021, 95% confidence interval [ CI] 1.004-1.037; P=0.015] and VEGFR2 ( OR 1.009, 95% CI 1.005-1.012; P<0.001) were independently associated with vulnerable plaques. ROC curve analysis showed that serum VEGF and VEGFR2 alone were effective in distinguishing plaque stability, and the areas under the curve were 0.744 (95% CI 0.673-0.815) and 0.809 (95% CI 0.749-0.870), respectively. The area under the curve of the combination of the two was 0.874 (95% CI 0.825-0.924). Conclusion:Serum VEGF and VEGFR2 are independently associated with vulnerable carotid plaques in elderly patients with AIS, and both alone or in combination have good discriminatory value for the stability of carotid plaques.

Pain is an uncomfortable and emotional experience associated with,or similar to,real or po-tential tissue damage.However,far from being a purely physiological sensation,pain involves complex emo-tional and neuromodulatory mechanisms.The pain neural circuit is a complex biological system,covering the multi-level structure of the central nervous system from peripheral neurons to the cerebral cortex,thalamus,a-mygdala and dorsal horn of the spinal cord,participating in the perception,conduction,and regulation of pain signals,involves multiple molecular and cellular interactions to build a comprehensive pain perception process.In recent years,the field of pain neural circuit research has used a variety of scientific and technological tools to provide the theoretical and technical support for the in-depth understanding and treatment of pain.This article aims to provide a comprehensive research status quo for the scholars in related fields and new ideas for clinical pain research and treatment by combing the application of different technologies in the study of pain neural circuits.

Objective:To explore the value of machine learning models based on MRI predict the brain age of smokers and healthy controls, and further to explore the relationship between smoking and brain aging.Methods:This was a retrospective study. Dataset 1 consisted of 95 male smokers [20-50 (34±7) years old] and 49 healthy controls [20-50 (33±7) years old] recruited from August 2014 to October 2017 in First Affiliated Hospital of Zhengzhou University. Dataset 2 contained 114 healthy male volunteers [20-50 (34±11) years old] from the Southwestern University Adult Imaging Database from 2010 to 2015. All subjects underwent high-resolution 3D T 1WI scan. Gaussian process regression (GPR) model and support vector machine model were constructed to predict brain age based on structural MR images of healthy controls in dataset 1 and dataset 2. After the performance of the model was verified by the cross-validation method, the mean absolute error (MAE) between the predicted brain age and the actual age and the correlation ( r-value) between the actual age and the predicted brain age were calculated, and the best model was finally selected. The best models were applied to smokers and healthy controls to predict brain age. Finally, a general linear model was used to compare the differences in brain-predicted age difference (PAD) between smokers and healthy controls with age, taking years of education and total intracranial volume as covariates. Result:The performance of GPR model (MAE=5.334, r=0.747) in predicting brain age was better than support vector machine model (MAE=6.040, r=0.679). The GPR model predicted that PAD value of smokers in dataset 1 (2.19±6.64) was higher than that of healthy controls in dataset 1 (-0.80±8.94), and the difference was statistically significant ( F=8.52, P=0.004). Conclusion:GPR model based MRI has better performance in predicting brain age in smokers and healthy controls, and smokers show increased PAD values, further indicating that smoking accelerates brain aging.

Objective:To investigate the abnormalities of gray matter volume (GMV) and the synergistic changes in different cerebral regions in the first-episode and early-onset depression (EOD) patients.Methods:A total of 60 patients with untreated EOD (EOD group) and 64 healthy controls (control group) matched for age, gender, and education underwent high-resolution T 1WI MR scans. Voxel-based morphometry was used to calculate the cerebral GMV. The difference in GMV between the two groups was compared with the t-test. Different brain regions were selected as seeds for structural covariation network (SCN) analysis. Spearman correlation model was used to analyze the correlation between the GMV in different cerebral regions and illness duration as well as the scores of Hamilton rating scale for depression (HAMD) 17 items in EOD group. Results:Compared to control group, the EOD group had significantly increased GMV in the right orbitofrontal cortex, right dorsolateral prefrontal cortex, right inferior parietal lobule, right superior parietal lobule and bilateral precuneus ( P<0.05, corrected by FDR). Based on the right orbitofrontal cortex and dorsolateral prefrontal cortex as seed regions, structural covariance analysis revealed that abnormal cooperative brain regions in EOD group, mainly distributed in the bilateral frontal lobe, parietal lobe, occipital lobe, temporal lobe, paralimbic system and cerebellum ( P<0.05, corrected by FDR). In EOD group, significant negative correlations were observed between the GMV in the right orbitofrontal cortex ( r=-0.314, P=0.015), the left precuneus ( r=-0.283, P=0.029), and illness duration. Significant positive correlations were observed between the GMV in the right dorsolateral prefrontal cortex and the scores of anxiety/somatization factor of HAMD17 ( r=0.331, P=0.010), the left precuneus and weight factor of HAMD17 ( r=0.255, P=0.049), respectively. Conclusions:Abnormal GMV changes are observed in some regions of the prefrontal and parietal lobule in patients with untreated EOD, accompanied by extensive covariant brain regions and additional structural connectivity. In addition, the abnormal GMV changes in some regions are associated with clinical features. Part of the prefrontal and parietal lobule may be the biomarkers to objectively evaluate abnormal brain structure in depression patients in the early stage.

【Objective】 To explore the application effect of PDCA in improving the informationization of blood transfusion medical records. 【Methods】 The PDCA cycle theory and other quality management tools were used to analyze the causes of defects in blood transfusion records in a tertiary A hospital. Corresponding improvement measures for informationnization were formulated, and the situation before and after the improvement were compared to analyze the improvement effect. 【Results】 After the application of PDCA, the quality of blood transfusion records was significantly improved, and the defect rate decreased from 31.5% (193/612)to 12.1%(73/604), and the difference was statistically significant (P<0.05). 【Conclusion】 PDCA plays an important role in improving the quality of clinical blood transfusion records, standardizing the writing, and ensuring the safety and scientificity of the blood transfusion process.

Objective: To investigate the effect of HOXD3 expression on the stem cell-like characteristics of breast cancer cells and the relationship between HOXD3 expression and multi-drug resistance in breast cancer cells. Methods: From January 2006 to December 2008, 87 specimens of breast cancer patients from the Affiliated Tumor Hospital of Harbin Medical University were collected. The ex-pression of HOXD3 in breast cancer cells and tissues was detected by immunohistochemical staining method. The expression levels of HOXD3 in CDDP or DOX-resistant cell lines MDA-MB-231 and MDA-MB-435 were detected by RT-PCR, Western blot and immunofluo-rescence staining. The effect of HOXD3 overexpression on the expression levels of stem cell biomarkers in breast cancer cell lines MDA-MB-231 and MDA-MB-435 was analyzed. MTT assay and colony formation assay were used to demonstrate the role of HOXD3 in che-motherapy resistance of breast cancer cells. Results: The relative expression of HOXD3 mRNA in breast cancer was 4.16, which was sig-nificantly higher than 2.05 in normal tissues adjacent to cancer; the relative expression levels of HOXD3 mRNA in breast cancer cell lines MDA-MB-231, MDA-MBB-435 and MCF-7 were 3.25, 2.84 and 2.23, which were all higher than 1.00 in normal breast epithelial cell line MCF-10A ( all P＜0.05 ). The IC50s of MDA-MB-231 and MDA-MB-435 cell lines resistant to CDDP or DOX were (20.82±0.05) μmol/L, (19.69±0.47) μmol/L, (32.26±0.23) mmol/L and (26.08±0.55) mmol/L, respectively. Both were higher than the corresponding original cell lines (all P＜0.05), and the drug resistance times were 2.47 and 3.10 or 1.86 and 2.08, respectively. The number of tumor spheres and stem cell biomarker expression levels of MDA-MB-231 and MDA-MB-435 with HOXD3 overexpression were significantly in-creased (all P＜0.05). Conclusions: The expression of HOXD3 plays an important role in the maintenance of stem cell-like properties and drug resistance of breast cancer cells. The results of this study will help us better understand the complexity of breast cancer and pro-vide a theoretical basis for the development of targeted molecular therapy.

To evaluate the expression of cAMP-dependent protein kinase type I-alpha regulatory subunit (PRKAR1α) in non-small cell lung cancer (NSCLC) and its correlation with clinicopathological features.
 Methods: PRKAR1α expressions in 79 NSCLC patients and matched adjacent non-carcinoma tissues were analyzed by using qRT-PCR and immunohistochemistry.
 Results: The negative rates of PRKAR1α protein in NSCLC, lung squamous cell carcinoma (SCL) and lung adenocarcinoma (ACL) were 58.2%, 77.8%, 32.4%, respectively. Compared to the matched adjacent non-carcinoma tissues, there were significant differences in levels of PRKAR1α mRNA and protein in ACL (P<0.05), but not in SCL and overall NSCLC (P>0.05). The expression of PRKAR1α protein was positively correlated with histological type, TNM stage, and lymph node metastasis (P<0.05). Tumor size and histogenesis differentiation were not related to the decreased PRKAR1α (P>0.05).
 Conclusion: Low expression of PRKAR1α in ACL might be involved in the pathogenesis, which might serve as a novel diagnostic candidate.
Adenocarcinoma ; chemistry ; classification ; genetics ; Adenocarcinoma of Lung ; Biomarkers, Tumor ; Carcinoma, Non-Small-Cell Lung ; chemistry ; genetics ; Carcinoma, Squamous Cell ; chemistry ; genetics ; Cyclic AMP-Dependent Protein Kinase RIalpha Subunit ; physiology ; Female ; Gene Expression Profiling ; Humans ; Immunohistochemistry ; Lung Neoplasms ; chemistry ; classification ; genetics ; Lymphatic Metastasis ; genetics ; Male ; Neoplasm Staging ; RNA, Messenger

Objecive To explore the significance of RECK expression in breast cancer .Methods Im-munohistochemical staining was used to analyze RECK expression levels in patients with breast cancer .We com-pared these data with the clinicopathological features of these patients .Rseults Breast cancer patients with nega-tive RECK expression had significantly lower DFS and 5-year survival rates than patients with positive RECK expression.In addition,for node-negative breast cancer ,negative RECK expression indicated markedly unfavor -able survival rate than positive arm .Multivariate analysis further confirmed that RECK expression was an inde -pendent prognostic factor for patients with breast cancer .Conclusion The loss of RECK expression indicates un-favorable survival rate for patients with breast cancer .RECK expression is a new ,important risk factor for recur-rence in breast cancer .