Objective:To investigate the value of implantable cardiac monitor (ICM) in the diagnosis and treatment of patients over 60 years old with unexplained syncope.Methods:This was a multi-center, prospective cohort study. Between June 2018 and April 2021, patients over the age of 60 with unexplained syncope at Beijing Hospital, Fuwai Hospital, Beijing Anzhen Hospital and Puren Hospital were enrolled. Patients were divided into 2 groups based on their decision to receive ICM implantation (implantation group and conventional follow-up group). The endpoint was the recurrence of syncope and cardiogenic syncope as determined by positive cardiac arrhythmia events recorded at the ICM or diagnosed during routine follow-up. Kaplan‐Meier survival analysis was used to compare the differences of cumulative diagnostic rate between the 2 groups. A multivariate Cox regression analysis was performed to determine independent predictors of diagnosis of cardiogenic syncope in patients with unexplained syncope.Results:A total of 198 patients with unexplained syncope, aged (72.9±8.25) years, were followed for 558.0 (296.0,877.0) d, including 98 males (49.5%). There were 100 (50.5%) patients in the implantation group and 98 (49.5%) in the conventional follow-up group. Compared with conventional follow-up group, patients in the implantation group were older, more likely to have comorbidities, had a higher proportion of first degree atrioventricular block indicated by baseline electrocardiogram, and had a lower body mass index (all P<0.05). During the follow-up period, positive cardiac arrhythmia events were recorded in 58 (58.0%) patients in the ICM group. The diagnosis rate (42.0% (42/100) vs. 4.1% (4/98), P<0.001) and the intervention rate (37.0% (37/100) vs. 2.0% (2/98), P<0.001) of cardiogenic syncope in the implantation group were higher than those in the conventional follow-up group (all P<0.001). Kaplan-Meier survival analysis showed that the cumulative diagnostic rate of cardiogenic syncope was significantly higher in the implantation group than in the traditional follow-up group ( HR=11.66, 95% CI 6.49-20.98, log-rank P<0.001). Multivariate analysis indicated that ICM implantation, previous atrial fibrillation, diabetes mellitus or first degree atrioventricular block in baseline electrocardiogram were independent predictors for cardiogenic syncope (all P<0.05). Conclusions:ICM implantation improves the diagnosis and intervention rates in patients with unexplained syncope, and increases diagnostic efficiency in patients with unexplained syncope.

Objective:To explore the occurrence of dental fear in children with dental pulp disease and its relationship with temperament type and social development level.Methods:This study was a cross-sectional study, using convenience sampling method to select 327 children with dental and pulp diseases who visited the outpatient department of the Department of Stomatology of Hunan Children′s Hospital from March 2022 to March 2023 as the study subjects. We used the Chinese version of the Children′s Fear Survey Schedule-Dental Subscale (CFSS-DS) to evaluate the dental fear of children; The temperament types of the children were evaluated using the Chinese Preschool Children Temperament Scale (CPTS); The social development level of the children was evaluated using the Children′s Social Development Scale; Multiple logistic stepwise regression analysis was used to evaluate the influencing factors of dental fear in children with dental pulp disease.Results:A total of 106 out of 327 children with dental pulp disease developed dental fear, with an incidence rate of 32.42%(106/327). There was a statistically significant difference in the incidence of dental fear among children with different temperament types ( P<0.05). Children with troubled temperament had the highest incidence of dental fear (37/47, 78.72%), while those with mild temperament had the lowest incidence (16/124, 12.90%). There was a statistically significant difference in the incidence of dental fear among children with different levels of social development ( P<0.05). Children with low levels of social development had the highest incidence of dental fear (34/42, 80.95%). Girls, children with unpleasant dental experiences, weak oral health awareness, symptoms of toothache, parents with high school education or below, and families with an average monthly income of less than 3 000 yuan had a higher incidence of dental fear than boys; The incidence of dental fear in children with no unpleasant dental treatment experience, good oral health awareness, no symptoms of toothache, parents with a high school education or above, and a family average monthly income of ≥3 000 yuan was relatively low (all P<0.05). Multivariate logistic stepwise regression analysis showed that having unpleasant dental experiences ( OR=2.751, 95% CI: 1.774-4.268), weak oral health awareness ( OR=2.465, 95% CI: 1.627-3.734), parents with high or lower education levels ( OR=2.366, 95% CI: 1.583-3.535), negative temperament types ( OR=2.573, 95% CI: 1.685-3.929), moderate social development ( OR=0.397, 95% CI: 0.261-0.603), and high-level social development ( OR=0.416, 95% CI: 0.276-0.627) were the risk factors of dental fear in children with dental pulp disease (all P<0.05). Conclusions:The incidence of dental fear in children with dental pulp disease is higher, which is related to their temperament type and social development level.

Objective:To explore the impact of type D personality on quality of life in lung cancer patients and the mediating role of stigma between type D personality and quality of life.Methods:From February 2021 to August 2022, convenience sampling was used to select 334 lung cancer patients from three ClassⅢ Grade A hospitals in Taizhou City, Zhejiang Province as participants. The patients were surveyed using the General Information Questionnaire, Type D Personality Scale-14, Functional Assessment of Cancer Therapy Scale General (FACT-G), and Cataldo Lung Cancer Stigma Scale. Pearson correlation was used to analyze the correlation between type D personality, quality of life, and stigma. Model 4 in the SPSS 24.1 macro program PROCESS was used for mediating effect analysis. A total of 334 questionnaires were distributed, and 332 valid questionnaires were collected, with a valid response rate of 99.40% (332/334) .Results:The FACT-G total score of 332 lung cancer patients was (75.84±7.27). The positive rate of type D personality was 19.28% (64/332). The total score of quality of life, social/family status, functional status, emotional status, and physiological status dimension scores in patients with type D personality lung cancer were lower than those in non-type D personality patients, and the difference was statistically significant ( P<0.05). There were negative correlations between type D personality and quality of life, and between stigma and quality of life in lung cancer patients ( P<0.01), and a positive correlation between type D personality and stigma ( P<0.01). Mediating effect analysis showed that type D personality directly negatively predicted quality of life, and stigma played a partial mediating effect between type D personality and quality of life, with a mediating effect value of 0.189, accounting for 23.05% of the total effect. Conclusions:The type D personality of lung cancer patients directly affects their quality of life, and the stigma plays a partial mediating role between type D personality and quality of life, thereby indirectly affecting quality of life. In addition to providing personalized psychological support, patients with type D personality should also pay attention to their stigma to reduce potential negative effects on their quality of life.

Objective:To investigate the clinical characteristics and prognosis of primary bone marrow lymphoma.Methods:The clinical data of 6 patients with primary bone marrow lymphoma admitted to Gansu Provincial People's Hospital from February 2011 to March 2023 were collected,and their clinical characteristics and prognosis were retrospectively analyzed and summarized.Results:The median age of 6 patients was 61(52-74)years old.There were 2 males and 4 females.All patients had fever and abnormal blood routine examination.Physical examination and imaging examination showed no lymphadenopathy,no extranodal lesions in lung,gastrointestinal,liver and spleen,skin,etc.After strict exclusion of systemic lymphoma involvement in the bone marrow,the diagnosis was confirmed by bone marrow examination,5 cases were primary myeloid diffuse large B-cell lymphoma and 1 case was primary myeloid peripheral T-cell lymphoma(NOS).1 case abandoned treatment,5 cases received CHOP-like or combined R regimen,including 1 case of autologous stem cell transplantation.4 cases died and 2 case survived.The median OS was 5.5(1-36)months.Conclusion:The prognosis of primary marrow lymphoma is poor,and bone marrow-related examination is an important means of diagnosis.Diffuse large B-cell lymphoma is the most common histomorphologic and immune subtype,and autologous hematopoietic stem cell transplantation may improve the prognosis.

Phosphatidylinositol 4 kinases are the initial and key molecules of the phosphatidyl inositol signaling pathway.Among them,the phosphatidylinositol 4-kinaseⅢ β(PI4KⅢβ)is in-volved in the synthesis of the Golgi PI4P pool,playing a vital role in numerous physiological processes.Meanwhile,the en-zyme is an important host factor mediating the replication of some pathogenic RNA viruses,and participating in other patho-logical processes such as bacterial infection and malaria.In ad-dition,studies have shown that the function of PI4KⅢβ is regu-lated by numerous factors,including host and viral protein bind-ing partners.This review will discuss the structure and the phys-iopathology regulatory mechanism of PI4KⅢβ.

Aim To investigate the protective effect of carnosine on BV2 cell damage induced by oxygen-glu-cose deprivation/reperfusion(OGD/R)and its role in mediating pyrodeath through the ROS/NLRP3/GSDMD pathway.Methods BV2 cells were randomly divided into the control group(Con),model group(OGD/R),carnosine group(OGD/R+CAR),inhibitor group(OGD/R+MCC950),and carnosine+inhibitor group(OGD/R+CAR+MCC950).The cell survival rate was detected by MTT assay.The release rate of lactate dehydrogenase(LDH)in cell supernatant was detected by microenzyme labeling method.Cell damage was as-sessed using Hoechst 33342/SYTOX Green staining.ROS levels in cells were detected by DCFH-DA.The nucleation level of NF-κB p65 was observed by immu-nofluorescence.The protein expression levels of NLRP3,ASC,cleaved caspase-1,and GSDMD-N were detected by Western blot.The levels of IL-1 β and IL-18 in the supernatant were detected by ELISA.Results Com-pared with Con group,the survival rate of cells in the OGD/R group was significantly reduced,LDH release was significantly raised,cell morphology was damaged,and the positive rate of SYTOX Green was significantly elevated with ROS level in cells.The fluorescence in-tensity of NF-κB p65 in the nucleus increased,and the protein expression levels of NLRP3,ASC,cleaved caspase-1,GSDMD-N increased significantly,and the levels of IL-1 β and IL-18 in the cell superserum in-creased significantly.Compared with the OGD/R group,the survival rate of cells in other groups in-creased significantly,the LDH release rate significantly decreased,and the cell damage was improved to a cer-tain extent.The positive rate of SYTOX Green and ROS production in cells significantly decreased,and the fluorescence intensity of NF-κB p65 in nucleus markedly decreased.The expression levels of related proteins and the levels of IL-1 β and IL-18 in cell super-natant significantly decreased.Conclusion Carnosine can protect BV2 cells from OGD/R-induced damage by inhibiting oxidative stress and NF-κB activation,then inhibiting NLRP3/GSDMD signaling pathway.

Objective To analyze the molecular markers of various nuclei in the human basal ganglia and the differentially expressed genes(DEGs)among different nuclei,gender,and Parkinson's disease(PD),followed by the biological function annotations of the DEGs.Methods Forty-five specimens of basal ganglia from 10 human postmortem brains were divided into control and PD groups,and the control group was further categorized into female and male groups.RNA from each sample was extracted for high-throughput transcriptome sequencing.Bioinformatic analysis was conducted to identify molecular markers of each nuclei in the control group,nuclei-specific,gender-specific,and PD-specific DEGs,followed by gene enrichment analysis and functional annotation.Results Sequencing analysis revealed top DEGs such as DRD1,FOXG1,and FAM183A in the caudate;SLC6A3,EN1,SLC18A2,and TH in the substantia nigra;MEPE and FGF10 in the globus pallidus;and SLC17A6,PMCH,and SHOX2 in the subthalamic nucleus.In them,putamen showed some overlapping DEGs with caudate,such as DRD1 and FOXG1.A significant number of DEGs were identified among different nuclei in the control group,with the highest number between caudate and globus pallidus(9321),followed by putamen and globus pallidus(6341),caudate and substantia nigra(6054),and substantia nigra and subthalamic nucleus(44).Gene enrichment analysis showed that downregulated DEGs between caudate and globus pallidus were significantly enriched in processes like myelination of neurons and cell migration.Upregulated DEGs between putamen and globus pallidus were enriched processes like chemical synaptic transmission and regulation of membrane potential,while downregulated DEGs were enriched in myelination and cell adhesion.Upregulated DEGs between caudate and substantia nigra were enriched in processes like chemical synaptic transmission and axonal conduction,while downregulated DEGs were enriched in myelination of neurons.Totally 468,548,1402,333,and 341 gender-specific upregulated DEGs and 756,988,2532,444,and 1372 downregulated DEGs were identified in caudate,putamen,substantia nigra,globus pallidus,and subthalamus nucleus.Gene enrichment analysis revealed upregulated DEGs mostly enriched in pathways related to immune response and downregulated DEGs in chemical synaptic transmission.At last,709,852,276,507,and 416 PD-specific upregulated DEGs and 830,2014,1218,836,and 1730 downregulated DEGs were identified in caudate,putamen,substantia nigra,globus pallidus,and subthalamus nucleus.Gene enrichment analysis revealed upregulated DEGs mostly enriched in apoptotic regulation and downregulated DEGs in chemical synaptic transmission and action potential regulation.Conclusion We identified and analysed the molecular markers of different human basal ganglia nuclei,as well as DEGs among different nuclei,different gender,and between control and PD.

Protein phosphorylation modification is an important mechanism of physiological regulation that is closely related to protein biological functions. In particular, protein kinases are responsible for catalyzing the phosphorylation process of proteins, and phosphatases are responsible for catalyzing the dephosphorylation process of phosphorylation-modified proteins, which together mediate the achievement of dynamic and reversible phosphorylation modifications of proteins. Abnormal phosphorylation levels of proteins contribute to the development of many diseases, such as cancer, neurodegenerative diseases, and chronic diseases. Therefore, rational design of small molecules to regulate protein phosphorylation is an important approach for disease treatment. Based on the mechanism of protein phosphorylation regulation, small molecule drug design strategies can be classified into three types, protein kinase modulators, phosphatase modulators, and bifunctional molecules with proximity-mediated mechanism. This review emphasizes the above three small molecule design strategies for targeting protein phosphorylation regulation, including molecular design ideas, research progress and current challenges, and provides an outlook on small molecule modulators targeting protein phosphorylation modification.

Objective: This study aims to overcome challenges in lumbar spine imaging, particularly lumbar spinal stenosis, by developing an automated segmentation model using advanced techniques. Traditional manual measurement and lesion detection methods are limited by subjectivity and inefficiency. The objective is to create an accurate and automated segmentation model that identifies anatomical structures in lumbar spine magnetic resonance imaging scans. Methods: Leveraging a dataset of 539 lumbar spinal stenosis patients, the study utilizes the residual U-Net for semantic segmentation in sagittal and axial lumbar spine magnetic resonance images. The model, trained to recognize specific tissue categories, employs a geometry algorithm for anatomical structure quantification. Validation metrics, like Intersection over Union (IOU) and Dice coefficients, validate the residual U-Net’s segmentation accuracy. A novel rotation matrix approach is introduced for detecting bulging discs, assessing dural sac compression, and measuring yellow ligament thickness. Results: The residual U-Net achieves high precision in segmenting lumbar spine structures, with mean IOU values ranging from 0.82 to 0.93 across various tissue categories and views. The automated quantification system provides measurements for intervertebral disc dimensions, dural sac diameter, yellow ligament thickness, and disc hydration. Consistency between training and testing datasets assures the robustness of automated measurements. Conclusion Automated lumbar spine segmentation with residual U-Net and deep learning exhibits high precision in identifying anatomical structures, facilitating efficient quantification in lumbar spinal stenosis cases. The introduction of a rotation matrix enhances lesion detection, promising improved diagnostic accuracy, and supporting treatment decisions for lumbar spinal stenosis patients.

Objective: This study aims to overcome challenges in lumbar spine imaging, particularly lumbar spinal stenosis, by developing an automated segmentation model using advanced techniques. Traditional manual measurement and lesion detection methods are limited by subjectivity and inefficiency. The objective is to create an accurate and automated segmentation model that identifies anatomical structures in lumbar spine magnetic resonance imaging scans. Methods: Leveraging a dataset of 539 lumbar spinal stenosis patients, the study utilizes the residual U-Net for semantic segmentation in sagittal and axial lumbar spine magnetic resonance images. The model, trained to recognize specific tissue categories, employs a geometry algorithm for anatomical structure quantification. Validation metrics, like Intersection over Union (IOU) and Dice coefficients, validate the residual U-Net’s segmentation accuracy. A novel rotation matrix approach is introduced for detecting bulging discs, assessing dural sac compression, and measuring yellow ligament thickness. Results: The residual U-Net achieves high precision in segmenting lumbar spine structures, with mean IOU values ranging from 0.82 to 0.93 across various tissue categories and views. The automated quantification system provides measurements for intervertebral disc dimensions, dural sac diameter, yellow ligament thickness, and disc hydration. Consistency between training and testing datasets assures the robustness of automated measurements. Conclusion Automated lumbar spine segmentation with residual U-Net and deep learning exhibits high precision in identifying anatomical structures, facilitating efficient quantification in lumbar spinal stenosis cases. The introduction of a rotation matrix enhances lesion detection, promising improved diagnostic accuracy, and supporting treatment decisions for lumbar spinal stenosis patients.