Objective:To investigate the predictive value of serum β 2-microglobulin (β 2M) and pro-inflammatory cytokines for post-stroke depression (PSD) in patients with acute ischemic stroke (AIS). Methods:Patients with AIS admitted to the Department of Neurology, the Affiliated Municipal Hospital of Xuzhou Medical University from January 2020 to May 2023 were included retrospectively. At the 6-month outpatient follow-up, the Self-rating Depression Scale (SDS) was used to assess depression. Multivariate logistic regression analysis was used to determine the independent influencing factors of PSD. Receiver operating characteristic (ROC) curve was used to evaluate the predictive value of individual and combined independent influencing factors on PSD. Results:A total of 161 patients were enrolled, including 82 males (50.93%), aged 61.78±11.95 years; 47 patients (29.20%) developed PSD. Univariate analysis showed that the proportion of males, serum β 2M, interleukin (IL)-1β, IL-6, tumor necrosis factor (TNF)-α, high-sensitivity C-reactive protein level, and baseline National Institutes of Health Stroke Scale (NIHSS) score in the PSD group were significantly different from those in the non-PSD group (all P<0.05). Multivariate logistic regression analysis showed that serum β 2M (odds ratio [ OR] 4.257, 95% confidence interval [ CI]1.441-12.574; P=0.009), IL-1β ( OR 1.415, 95% CI 1.116-1.793; P=0.004), IL-6 ( OR 1.262, 95% CI 1.020-1.561; P=0.032), and TNF-α ( OR 1.246, 95% CI 1.021-1.521; P=0.030) were the independent influencing factors of PSD. ROC curve analysis showed that the area under the curve of serum β 2M for predicting PSD was 0.753 (95% CI 0.668-0.838), with an optimal cutoff value of 2.255 mg/L. The sensitivity and specificity were 59.6% and 80.7%, respectively. When serum β 2M was combined with IL-1β, IL-6 and TNF-α for prediction, the area under the curve increased to 0.893 (95% CI 0.837-0.948). Conclusion:The serum β 2M in combination with pro-inflammatory cytokines has good predictive value for PSD.

Myocardial infarction is a serious type of myocardial ischemic disease. Traditional treatments can only alleviate clinical symptoms and cannot repair damaged myocardium. In this review, the application progress of chitosan-based composite scaffolds in myocardial repair and regeneration after myocardial infarction was reviewed. Combining chitosan with polymers, such as natural proteins and natural polysaccharides can mimic the properties of natural myocardial tissue, reducing ventricular wall stress while increasing biological activity and promoting the retention, repair or regeneration of myocardial cells. Combining chitosan with synthetic polymers and nanomaterials can promote the repair and regeneration of myocardial cells, improve the electrophysiological function of the infarcted area and resynchronise cardiac contraction.

Objective To evaluate the clinical efficacy of Shanghai-style pediatric tuina combined with visceral acupoint manipulation in children with adenoid hypertrophy(AH)of lung-spleen qi deficiency type.Methods Sixty-six AH children with lung-spleen qi deficiency treated at Foshan Hospital of Traditional Chinese Medicine from December 2023 to December 2024 were randomized into trial group(n=33,receiving Shanghai-style tuina+visceral acupoint manipulation)and control group(n=33,receiving conventional tuina)for 2 weeks.Traditional Chinese medicine(TCM)syndrome scores(primary/secondary symptoms),Disease-Specific Quality of Life for Children with Obstructive Sleep Apnea 18-item Survey(OSA-18)scores,and endoscopic adenoid obstruction scores were observed before and after treatment,and the clinical efficacy and safety were evaluated.Results(1)After two weeks of treatment,the total effective rate was 93.94％(31/33)in the trial group versus 72.73％(24/33)in the control group.The intergroup comparison(by chi-square test)showed that the efficacy in the trial group was superior to that in the control group(P＜0.05).(2)After treatment,both groups showed reduction in the primary TCM symptom score and secondary TCM symptom score(P＜0.01),with greater reductions in the trial group(P＜0.05 or P＜0.01).(3)After treatment,OSA-18 scores were decreased in both groups(P＜0.01),with greater reductions in the trial group(P＜0.01).(4)After treatment,adenoid obstruction scores were improved in both groups(P＜0.01),with superior outcomes in the trial group(P＜0.05).(5)No adverse events(e.g.,myalgia,pruritus,allergy)were reported in either group.Conclusion Shanghai-style tuina combined with visceral acupoint manipulation effectively improves clinical symptoms and quality of life in AH children with lung-spleen qi deficiency syndrome,demonstrating high safety.

Objective To investigate the levels and clinical significance of serum microRNA(miR)-651 and miR-630 in patients with cervical cancer.Methods From June 2017 to May 2020,108 cervical cancer patients accepted by our hospital were collected as the cervical cancer group.Meantime,100 cervical intraepithelial neoplasia(CIN)patients treated in our hospital were regarded as the CIN group,and 110 healthy individuals who underwent physical examination were regarded as the control group.Real-time fluorescence quantitative PCR(qRT-PCR)was applied to detect serum levels of miR-651 and miR-630,while analyzing the relationship between serum miR-651 and miR-630 as well as clinical features and prognosis of patients.Results The serum levels of miR-651 and miR-630 in the cervical cancer group and CIN group were obviously lower than those in the control group(P<0.05),while the serum levels of miR-651 and miR-630 in the cervical cancer group were obviously lower than those in the CIN group(P<0.05).The expression levels of serum miR-651 and miR-630 were positively corre-lated(r = 0.542,P<0.05).The serum levels of miR-651 and miR-630 were related to HPV infection,differentia-tion,lymph node metastasis,and FIGO staging(P<0.05).The overall survival rate of patients with low levels of miR-651 and miR-630 was lower than that of patients with high levels.Cox regression analysis showed that,HPV infection,degree of differentiation,lymph node metastasis,FIGO staging,miR-651,and miR-630 were all influ-encing factors for the prognosis of cervical cancer patients(P<0.05).Conclusion The serum levels of miR-651 and miR-630 in cervical cancer patients decrease,which are related to HPV infection,differentiation,lymph node metastasis,FIGO staging,and prognosis.

Objective:To evaluate the clinical efficacy of allogeneic hematopoietic stem cell transplantation（allo-HSCT）in children with severe aplastic anemia（SAA）.Methods:Twenty-seven cases with SAA who had been treated with allo-HSCT from January 2020 to December 2022 were retrospectively analyzed and reviewed.Results:（1）A total of 27 SAA patients were enrolled，including 18 males and 9 females，with a median age of 8 (2-15) years.There were 20 cases of SAA-Ⅰ type,7 cases of SAA-Ⅱ type.Based upon donor sources，three cases of matched sibling donors hematopoietic stem cell transplantation,and 24 cases of haploidentical hematopoietic stem cell transplantation were adopted.（2）Hematopoietic reconstruction was achieved in all 27 cases.The median implantation time of neutrophils and platelets was 10（9-20）days and 12（7-26）days respectively.The cumulative incidence of acute graft-versus-host disease（GVHD）was 66.67%（18/27）.The incidence of grade Ⅰ-Ⅱ was 55.56%（15/27）and that of grade Ⅲ-Ⅳ was 11.11%（3/27）.The incidence of chronic GVHD was 7.41%（2/27）.Transplant-associated thrombotic microangiopathy (TA-TMA) occurred in 7.41%（2/27）patients,cytomegalovirus viremia in 62.96%（17/27）patients,epstein-barr virus infection in 33.33%（9/27）patients,and 14.81%（4/27）patients progressed to post-transplant lymphoproliferative disorder (PTLD).（3）The median follow-up time was 12 (2-28) months.The overall survival rate was 96.29%.Twenty-six patients survived,and one patient died due to multiple complications of severe acute GVHD,TA-TMA,cytomegalovirus infection,PTLD and secondary epilepsy.Conclusion:Allo-HSCT is an effective therapy for SAA in children.The effective rate of this research is 96.29%.Acute GVHD is still the key to therapy.The incidence rate of acute GVHD is 66.67% in this study.The blood incompatibility of donor and recipient may affect the incidence of GVHD.The intensity of GVHD prevention should be reduced after HLA-matched sibling donor-hematopoietic stem cell transplantation so as to avoid the complications of virus recurrence and PTLD.

Objective:To investigate diagnostic and prognostic value of actin-binding protein ANLN in clear cell renal cell carcinoma(ccRCC)and its relationship with tumor microenvironment.Methods:Gene expression data and clinical data for ccRCC were downloaded from The Cancer Genome Atlas(TCGA).Relationship between ANLN expression and clinicopathological features was assessed by Wilcoxon rank sum test and Logistic regression.Receiver operating characteristic(ROC)curve was used to assess diagnostic value of ANLN expression in ccRCC.Kaplan-Meier and Cox regression analysis were used to investigate effect of ANLN expression on overall survival.Gene set enrichment analysis(GSEA)was used to identify signaling pathways associated with ANLN in ccRCC.Relationship between ANLN expression and immune infiltration was analyzed by ESTIMATE algorithm,tumor immune estima-tion resource(TIMER)and CIBERSORT algorithms.Relationship between ANLN and drug sensitivity was calculated using CellMiner database.Results:ANLN expression was significantly upregulated in ccRCC tissues.ANLN expression in ccRCC was correlated with clinicopathological features.ROC analysis showed that ANLN had a high diagnostic value in ccRCC.High ANLN expression was signifi-cantly associated with poor prognosis.Multivariate Cox regression analysis showed that high ANLN expression was an independent risk factor for overall survival in ccRCC patients.GSEA showed that ANLN was associated with multiple signaling pathways.In terms of immunity,ANLN was closely associated with tumor microenvironment,immune infiltration and immune checkpoint molecules in ccRCC.ANLN expression was negatively correlated with sensitivity of most antitumor drugs.Conclusion:ANLN is a potential diagnos-tic and prognostic biomarker and immunotherapeutic target for ccRCC.

Myocardial infarction is one of the major diseases that seriously threaten human health. In the clinical treatment of myocardial infarction, there are unpredictable complications, and most patients will suffer a severe cardiac function decline due to excessive loss of myocardia and formation of scar tissue, eventually progressing to heart failure or even death. With rapid development of biological materials, they as an important part of tissue repair and regeneration research, have become a hot spot in the research and development of cardiovascular repair materials. Among them, decellularized extracellular matrix (dECM) materials, a class of natural materials with good histocompatibility, low immunogenicity, and suitable cell growth and metabolism characteristics, have been applied in clinical or preclinical cardiovascular tissue engineering or regenerative medicine. In this review, the application progress of dECM materials in tissue engineering, including the dECM preparation of 3D printed bioink, electrospinning, matrix hydrogel, and myocardial patch, in myocardial infarction treatment was summarized, and prospects and current challenges in the treatment of myocardial infarction were discussed.

Due to the low contrast of CT images,irregular shape of the liver,and blurred boundaries with adjacent organs,the existing methods based on convolutional neural network underperform in liver segmentation tasks,especially for boundary recognition and small object detection.A novel liver segmentation method is proposed based on multi-scale feature fusion and attention,namely MFFA UNet.Multi-scale feature fusion is firstly employed to acquire abundant segmentation details,while spatial and channel attention mechanisms are utilized to capture global spatial and inter-channel relationships.Additionally,a deep supervision module fully leverages the output of intermediate hidden layers,enhancing the learning capability of the network,which in turn accelerates the network's convergence speed.Moreover,a hybrid loss function is adopted to address the issue of class imbalance,further boosting the model's segmentation efficacy.Experimental results demonstrate that the proposed MFFA UNet outperforms the prevailing segmentation networks on the public LITS dataset,producing results that are closer to the ground truth.

To address the inability of the existing machine learning methods to simultaneously consider both the temporal and spatial domain features of electroencephalogram(EEG)signals in classifying EEG features,a feature fusion based Attention-EEGNet-BiGRU(AEBGNet)is presented for classifying motor imagery(MI)EEG signals.AEBGNet is capable of fusing the temporal domain features extracted by convolutional neural network with attention mechanism and spatial domain features extracted by a bidirectional gated recurrent unit to obtain more distinctive spatiotemporal features.The constructed AEBGNet classification model achieves an average accuracy of 80.37%on the BCI competition IV 2b dataset,and there is an improvement of 6.09%over the standard EEGNet method.The results demonstrate the effectiveness of the proposed method in enhancing the classification accuracy of MI EEG signals,providing a new idea for MI EEG signal classification.

A composite nystagmus classification framework enhanced by dual attention mechanism is proposed to address the problem that the existing researches only identify whether nystagmus occurs in a horizontal,vertical,or axial direction,but fail to consider the issue of composite nystagmus composed of multiple directions with various intensities in clinical practice.A spatiotemporal concentration algorithm for nystagmus videos is presented,and it combines convolutional neural networks and Hough transform to remove interference from invalid frames and regions and to improve the quality of nystagmus videos.Then,a dense optical flow algorithm is used to extract the optical flow field of eye movement.Finally,a composite nystagmus classification network based on dual attention mechanism enhancement is constructed.An improved efficient channel attention module is used to effectively obtain the direction and intensity of nystagmus in different channels of the optical flow map;and a temporal attention module is added at the end of the bidirectional long short-term memory network to achieve significant expression of classification results based on different temporal features.On the nystagmus dataset provided by the cooperating hospital,the proposed method has an accuracy rate of 83.17%for composite nystagmus classification,and achieved accuracy rates of 91.03%,89.74%,and 86.05%for individual horizontal,vertical,and axial nystagmus classifications.The proposed method realizes the intelligent classification of composite nystagmus and is valuable in clinic.