Objective:To summarize the clinical characteristics and factors that may affect the flare of patients with systemic lupus erythematosus (SLE).Methods:A total of 300 patients with SLE who were treated with standard treatment in the outpatient clinic of the department of rheumatology and immunology of the Second Affiliated Hospital of Air Force Military Medical University of PLA, were enrolled, and the patients were divided into 24 patients in the complete response group, 40 cases in the no response group, 192 cases in the treatment response group, and 44 cases in the low disease activity group according to the response to treatment. The differences in clinical characteristics and survival rates between the groups were compared and analyzed. Comparisons of count data were made using analysis of variance (ANOVA), comparisons of measurement data were made using the chi-square test or the Fisher′s ecact test, and survival rates were expressed as Kaplan-Meier curves. Cox regression analysis was adapted to explore risk factors for flare in these patients.Results:A total of 300 patients were followed. With a median follow-up time of 18 (1, 36) months, a total of 42 patients experienced flare. The clinical characteristics of the four groups were compared, and there were significant differences in age ( F=4.39, P=0.005), the presence of lupus nephritis ( χ2=12.66, P=0.005), hemoglobin level ( F=2.73, P=0.044), NLR level( F=3.88, P=0.010), cystatin C level( F=3.11, P=0.027), anti-RNP antibody ( χ2=12.04, P=0.007), anti-Sm antibody ( χ2=8.33, P=0.040), anti-SSB antibody ( P=0.014), anti-nucleosome antibody ( P=0.014), and anti-ribosomal P protein antibody ( χ2=11.83, P=0.008). There was no significant difference in survival between the four groups. Cox analysis showed that the combination of other autoimmune diseases [ HR(95%CI)=3.23(1.58, 6.57), P=0.001], anti-Sm antibody [ HR(95%CI)=2.15(1.04, 4.43), P=0.038], and anti-RNP antibody [ HR(95%CI)=2.54(1.13, 5.68), P=0.023] were risk factors for flare in patients with SLE who could reach the treatment target. Conclusion:Patients with SLE with different treatment responses have different clinical features, and all treatment can significantly improve the recurrence rate no matter what level of response to treatment. Patients concurrent with other autoimmune diseases, positive anti-Sm antibodies, and positive anti-RNP antibodies are at highrisk of flare.

The incidence of osteoporotic thoracolumbar vertebral fracture (OTLVF) in the elderly is gradually increasing. The kyphotic deformity caused by various factors has become an important characteristic of OTLVF and has received increasing attention. Its clinical manifestations include pain, delayed nerve damage, sagittal imbalance, etc. Currently, the definition and diagnosis of OTLVF with kyphotic deformity in the elderly are still unclear. Although there are many treatment options, they are controversial. Existing guidelines or consensuses pay little attention to this type of fracture with kyphotic deformity. To this end, the Lumbar Education Working Group of the Spine Branch of the Chinese Medicine Education Association and Editorial Committee of Chinese Journal of Trauma organized the experts in the relevant fields to jointly develop Clinical guidelines for the diagnosis and treatment of osteoporotic thoracolumbar vertebral fractures with kyphotic deformity in the elderly ( version 2024), based on evidence-based medical advancements and the principles of scientificity, practicality, and advanced nature, which provided 18 recommendations to standardize the clinical diagnosis and treatment.

Bladder cancer is one of the common malignant tumors of the urinary system,and the results of conventional diagnosis and treatment methods are not satisfactory at this stage.In recent years,photodynamic technology has been applied in the diagnosis and treatment of bladder cancer due to its rapid development,and its effect has been widely recognized in clinical practice.Photodynamic diagnosis(PDD)has shown value in the diagnosis of bladder cancer,and compared with white light cystoscopy(WLC),blue light cystoscopy(BLC)has higher sensitivity and specificity,and is better suitable for the diagnosis of minor lesions and hidden lesions such as CIS,but it is expensive and time-consuming.Non-invasive targeted photodynamic diagnostic techniques using urine as a sample are beginning to show potential;PDD-guided TURBT has better diagnostic sensitivity and surgical precision.Photodynamic therapy(PDT)is an ideal treatment modality for bladder cancer.New photosensitizers have been developed,and two-photon PDT technology,intermittent and rhythmic PDT technology have been applied,which can help to reduce the number of PDT operations and reduce additional trauma while improving the efficacy.Some scholars have tried to use nanotechnology to combine PDT with chemotherapy drugs to further improve the efficacy.Monoclonal antibodies,antibody fragments,protein scaffolds,peptides and small molecule targeted molecular tracers have different characteristics,and new combination therapy methods are being researched and developed,bringing new opportunities for bladder cancer treatment.

Liver diseases constitute a major healthcare burden globally, including acute hepatic injury resulted from acetaminophen overdose, ischemia-reperfusion or hepatotropic viral infection and chronic hepatitis, alcoholic liver disease (ALD), non-alcoholic fatty liver disease (NAFLD) and hepatocellular carcinoma (HCC). Attainable treatment strategies for most liver diseases remain inadequate, highlighting the importance of substantial pathogenesis. The transient receptor potential (TRP) channels represent a versatile signalling mechanism regulating fundamental physiological processes in the liver. It is not surprising that liver diseases become a newly explored field to enrich our knowledge of TRP channels. Here, we discuss recent findings revealing TRP functions across the fundamental pathological course from early hepatocellular injury caused by various insults, to inflammation, subsequent fibrosis and hepatoma. We also explore expression levels of TRPs in liver tissues of ALD, NAFLD and HCC patients from Gene Expression Omnibus (GEO) or The Cancer Genome Atlas (TCGA) database and survival analysis estimated by Kaplan-Meier Plotter. At last, we address the therapeutical potential and challenges by pharmacologically targeting TRPs to treat liver diseases. The aim is to provide a better understanding of the implications of TRP channels in liver diseases, contributing to the discovery of novel therapeutic targets and efficient drugs.

Objective: To explore the relationship between mobile phone dependence (MPD) and academic burden among junior middle school students in Guizhou Province, under the "double reduction" policy by using a multi level model, so as to provide a basis for preventing the occurrence of MPD. Methods: From December 2021 to January 2022, 7 868 students from grade 1 to grade 3 in 3 cities (prefecture) of Guizhou Province were selected by multi stage stratification random sampling method, and on site investigation was conducted by self compiled questionnaire and Self rating Questionnaire for Adolescent Problematic Mobile Phone Use(SQAPMPU). Using MLwiN 2.30 to fit a multi level model of the relationship between MPD and academic burden among junior middle school students. Results: The MPD detection rate of junior middle school students in Guizhou Province was 20.9%. The multi level model revealed that MPD of junior middle school students was clustered at the level of school and class ( χ 2= 1 565.32 , P <0.01), and high perceived academic pressure had a positive predictive effect on MPD among junior middle school students ( β =1.96). Homework duration ≥90 min/d at weekends had a negative predictive effect on MPD ( β =-0.55), while participation in off campus training on learning days had a positive predictive effect ( β =1.66)( P <0.05). Conclusion The MPD occurrence level is higher among junior middle school students in Guizhou Province. Perceived academic pressure, time spent on homework during weekends, off campus training and other academic burdens have an impact on MPD among junior middle school students, which should be a cause of concern for schools, families and social departments.

Objective To analyze clinical characteristics of patients with neuropsychiatric systemic lupus erythematosus (NPSLE) and to explore the risk factors affecting the occurrence of NPSLE. Methods A total of 63 NPSLE patients and 61 non-NPSLE patients were enrolled. The clinical manifestations and laboratory examination data of the two groups were collected, and the disease characteristics of NPSLE were summarized to analyze the risk factors affecting the occurrence of NPSLE by multivariate Logistic regression. Results The most common clinical manifestations of NPSLE patients were headache (39.7%), affective disorder (33.3%) and cognitive impairment (30.2%), with cranial magnetic resonance abnormalities (63.5%) and a high cerebrospinal fluid protein positive rate (52.4%). Compared with non-NPSLE patients, there were significantly increased levels of Raynaud's phenomenon, renal involvement, anti-RNP antibody, anti-ribosomal P protein, hypocomplementemia, lymphocyte-to-monocyte ratio (LMR) and neutrophil-to-lymphocyte ratio (NLR) in NPSLE patients. Multivariate Logistic regression analysis showed that renal involvement, Raynaud's phenomenon, positive anti-ribosomal P protein antibody, and elevated LMR and NLR were independent risk factors for NPSLE. Conclusion Headache is the most common symptom in patients with NPSLE, and abnormal cranial MRI and cerebrospinal fluid examination are more common. SLE patients who present with renal involvement, Raynaud's phenomenon, positive anti-ribosomal P protein antibodies, and elevated levels of LMR and NLR are more susceptible to developing NPSLE.
Humans ; Lupus Vasculitis, Central Nervous System ; Risk Factors ; Headache ; Antibodies, Antinuclear ; Cognitive Dysfunction

【Objective】 To evaluate the clinical efficacy and prognostic factors in multiple myeloma (MM) patients treated with autologous hematopoietic stem cell transplantation (auto-HSCT). 【Methods】 The clinical data of 155 MM patients newly diagnosed and suitable for transplantation in our hospital from 2014 to 2021 were retrospectively analyzed. They were divided into auto-HSCT group and non-auto-HSCT group according to the treatment mode. The clinical efficacy, overall survival (OS) and progression-free survival (PFS) of the two groups were compared. Furthermore, the prognostic factors of auto-HSCT group were analyzed. 【Results】 ① There were 51 patients in auto-HSCT group and 104 patients in non-auto-HSCT group. There was no statistical difference in baseline characteristics except age between the two groups. ② Hematopoietic reconstruction was achieved in all patients in auto-HSCT group, and no transplantation-related mortality was found. ③ The clinical efficacy of pre-and post-transplantation was compared in auto-HSCT group. sCR/CR rate was significantly increased after transplantation (P=0.041). The effective remission rate (≥VGPR) was also higher (P=0.05). As for the best efficacy, sCR/CR rate and effective remission rate were both significantly higher in auto-HSCT group than in non-auto-HSCT group (P=0.001). ④ In auto-HSCT group, by the end of follow-up, the median OS was not reached, the median PFS was 30.5 months, and 3-year OS and PFS was 87% and 40.3%, respectively. In non-auto-HSCT group, the median OS was 61 months, the median PFS was 21 months, and 3-year OS and PFS was 65.3% and 33.1%, respectively. It indicated that OS was significantly prolonged in auto-HSCT group (P=0.004). PFS was also prolonged but without significant difference (P=0.065). ⑤ Analysis of prognostic factors in auto-HSCT group showed that decreased PLT (P=0.038) and increased serum-adjusted calcium (P=0.017) were independent risk factors for OS, decreased PLT (P=0.005), female (P=0.018) and disease status of PR or worse before transplantation (P=0.012) were independent risk factors for PFS. 【Conclusion】 Auto-HSCT can improve the remission rate, prolong OS in MM patients, and possibly prolong PFS. Increased serum-corrected calcium and decreased PLT are independent prognostic factors for OS in patients treated with auto-HSCT. Decreased PLT, female, and disease status of PR or worse before transplantation are independent prognostic factors for PFS.

Objective: : The present study aimed to identify the function of ischemic stroke (IS) patients’ peripheral blood and its role in IS, explore the pathogenesis, and provide direction for clinical research progress by comprehensive bioinformatics analysis. Methods: : Two datasets, including GSE58294 and GSE22255, were downloaded from Gene Expression Omnibus database. GEO2R was utilized to obtain differentially expressed genes (DEGs). Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis of DEGs were performed using the database annotation, visualization and integrated discovery database. The protein-protein interaction (PPI) network of DEGs was constructed by search tool of searching interactive gene and visualized by Cytoscape software, and then the Hub gene was identified by degree analysis. The microRNA (miRNA) and miRNA target genes closely related to the onset of stroke were obtained through the miRNA gene regulatory network. Results: : In total, 36 DEGs, containing 27 up-regulated and nine down-regulated DEGs, were identified. GO functional analysis showed that these DEGs were involved in regulation of apoptotic process, cytoplasm, protein binding and other biological processes. KEGG enrichment analysis showed that these DEGs mediated signaling pathways, including HTLV-I infection and microRNAs in cancer. The results of PPI network and cytohubba showed that there was a relationship between DEGs, and five hub genes related to stroke were obtained : SOCS3, KRAS, PTGS2, EGR1, and DUSP1. Combined with the visualization of DEG-miRNAs, hsa-mir-16-5p, hsa-mir-181a-5p and hsa-mir-124-3p were predicted to be the key miRNAs in stroke, and three miRNAs were related to hub gene. Conclusion : Thirty-six DEGs, five Hub genes, and three miRNA were obtained from bioinformatics analysis of IS microarray data, which might provide potential targets for diagnosis and treatment of IS.

Osteoporotic thoracolumbar fracture in the elderly will seriously reduce their quality of life and life expectancy. For osteoporotic thoracolumbar fracture in the elderly, spinal reconstruction is necessary, which should comprehensively consider factors such as the physical condition, fracture type, clinical characteristics and osteoporosis degree. While there lacks relevant clinical norms or guidelines on selection of spinal reconstruction strategies. In order to standardize the concept of spinal reconstruction for osteoporotic thoracolumbar fracture in the elderly, based on the principles of scientificity, practicality and progressiveness, the authors formulated the Clinical guideline for spinal reconstruction of osteoporotic thoracolumbar fracture in elderly patients ( version 2022), in which suggestions based on evidence of evidence-based medicine were put forward upon 10 important issues related to the fracture classification, non-operative treatment strategies and surgical treatment strategies in spinal reconstruction after osteoporosis thoracolumbar fracture in the elderly, hoping to provide a reference for clinical treatment.

Objective:Bioinformatics method was used to screen out prognostic model constructed by the tumor microenvironment (TME)- related genes of adrenocortical carcinoma (ACC), and the prognostic model was verified to provide clinical guidances and related biomarkers for the diagnosis and treatment of ACC.Methods:Transcriptome and clinicopathological data of 79 ACC patients were collected from the Cancer Genome Atlas (TCGA) database. ESTIMATE algorithm was used to calculate immune score, stromal score (both reflect TME) and ESTIMATE score; VennDiagram was used to select differentially expressed genes among immune score, high and low stromal score groups (grouped by median value); Gene Ontology (GO) database and Kyoto Encyclopedia of Genes and Genome (KEGG) database were used to perform functional enrichment analysis on selected genes and to explore the potential function and pathway of genes. Univariate Cox analysis, lasso regression analysis and multivariate Cox analysis were used to screen out genes related to ACC TME and to establish risk score (RS) model for ACC patients. The receiver operating characteristic (ROC) curve was used to evaluate the prognostic value of RS. The data sets GSE33371 and GSE19750 of Gene Expression Omnibus (GEO) were used as external validation sets to validate the prognostic model. The data of 79 ACC patients were extracted from the TCGA database, and the clinicopathological factors and the RS of the established prognostic model were included in the Cox regression analysis to obtain the prognostic factors of ACC patients.Results:According to the immune score and stromal score, 1 205 differentially expressed genes from intersection of both scores were screened out by using VennDiagram, including 833 up-regulated genes and 372 down-regulated genes. After continuing the regression analysis and screening of differentially expressed genes, the ACC prognostic model containing 9 TME-related genes (GREB1, POU4F1, HIC1, HOXC9, CACNB2, RAB27B, ZIC2, C3, CYP2D6) was finally constructed, that was, RS = GREB1×0.223 6+POU4F1×0.671 7+HIC1×0.167 5+HOXC9×0.211 3+CACNB2×0.156 0+RAB27B×0.956 5+ZIC2×0.582 7+C3×(-0.003 1)+CYP2D6×0.819 3. The area under the curve (AUC) of ROC for the 1, 3, and 5-year overall survival of 79 ACC patients predicted by the model in the TCGA database was 0.876, 0.919, 0.917, respectively. In the GEO validation set, the AUC of the 1, 3, and 5-year overall survival for 45 ACC patients predicted by the model was 0.689, 0.704, and 0.708, respectively, indicating that the model had a high prediction accuracy for survival results of ACC patients. Cox regression analysis on the data of 79 ACC patients in the TCGA database showed that the TME-related gene prognostic model RS was an independent factor influencing the prognosis of ACC patients ( HR = 1.011, 95% CI 1.005-1.016, P < 0.01). Conclusions:The established ACC TME-related gene prognostic model can be used to predict the prognosis of ACC patients. The model including 9 genes may become a new target for studying the pathogenesis and immunotherapy of ACC, and it is worthy of further research.