ObjectiveThe controllability changes of structural brain network were explored based on the control and brain network theory in young smokers, this may reveal that the controllability indicators can serve as a powerful factor to predict the sleep status in young smokers. MethodsFifty young smokers and 51 healthy controls from Inner Mongolia University of Science and Technology were enrolled. Diffusion tensor imaging (DTI) was used to construct structural brain network based on fractional anisotropy (FA) weight matrix. According to the control and brain network theory, the average controllability and the modal controllability were calculated. Two-sample t-test was used to compare the differences between the groups and Pearson correlation analysis to examine the correlation between significant average controllability and modal controllability with Fagerström Test of Nicotine Dependence (FTND) in young smokers. The nodes with the controllability score in the top 10% were selected as the super-controllers. Finally, we used BP neural network to predict the Pittsburgh Sleep Quality Index (PSQI) in young smokers. ResultsThe average controllability of dorsolateral superior frontal gyrus, supplementary motor area, lenticular nucleus putamen, and lenticular nucleus pallidum, and the modal controllability of orbital inferior frontal gyrus, supplementary motor area, gyrus rectus, and posterior cingulate gyrus in the young smokers’ group, were all significantly different from those of the healthy controls group (P<0.05). The average controllability of the right supplementary motor area (SMA.R) in the young smokers group was positively correlated with FTND (r=0.393 0, P=0.004 8), while modal controllability was negatively correlated with FTND (r=-0.330 1, P=0.019 2). ConclusionThe controllability of structural brain network in young smokers is abnormal. which may serve as an indicator to predict sleep condition. It may provide the imaging evidence for evaluating the cognitive function impairment in young smokers.

Objective To investigate the application value of spectral computed tomography venography(CTV)in the display and staging of deep venous thrombosis(DVT)in the lower extremity.Methods Eighty-two patients with CTV were selected and ran-domly divided into group A(42 patients)and group B(40 patients).Group A:tube voltage 120 kVp.Group B:gemstone spectral ima-ging(GSI)mode,reconstruction of 50 keV and iodine(water)maps.The CT and standard deviation(SD)values of the veins were measured,signal-to-noise ratio(SNR)and contrast-to-noise ratio(CNR)were calculated in 120 kVp images of group A and in 50 keV images of group B.Two observers scored the image quality of the 2 groups subjectively,and Kappa test was used to examine the con-sistency.Based on the duration from the occurrence of clinical symptoms,the DVTs were classified.The CT values and iodine con-centration(IC)of DVT were measured in the 120 kVp images of group A and in the iodine(water)maps of group B,respectively.The receiver operating characteristic(ROC)curve was drawn to compare the effectiveness of CT values and IC in diagnosing DVT staging.Results CT values,SNR,and CNR of veins in group B were higher than those in group A(P<0.05).The subjective scores of the two groups were consistent(Kappa=0.926-0.955,P<0.05).The score for the display of veins and thrombus clarity in group B was 5(4,5),which was better than the score of 4(3,4)in group A(P<0.05).The efficiency of IC in diagnosing DVT staging[area under the curve(AUC)=0.973]was better than that of CT values(AUC=0.891).Conclusion The spectral CTV can improve the contrast of lower extremity deep veins and the clarity of thrombus,and can provide more objective indicators for the diagnosis of thrombus staging,which is conducive to accurate clinical diagnosis and treatment.

BACKGROUND:Observational studies have suggested that statin drugs may have a protective effect on bone density,making them a potential treatment option for osteoporosis. OBJECTIVE:To evaluate the causal relationship between drug target-mediated lipid phenotypes and bone mineral density(BMD)using Mendelian randomization methods. METHODS:We obtained single nucleotide polymorphismsrelated to statin drugs and BMD data from the IEU Open GWAS database.The primary analysis method was the inverse variance weighted method,and we also used weighted median,simple median,weighted mode,and MR-Egger regression.We usedβ values and 95%confidence intervals(CI)to assess the causal relationship between statin drugs and BMD.Additionally,we conducted sensitivity analyses to validate the results,assessed heterogeneity using Cochran's Q test,examined for horizontal pleiotropy using the MR-Egger intercept test,and performed leave-one-out analyses to determine if individual or multiplesingle nucleotide polymorphism influenced the results. RESULTS AND CONCLUSION:There was a significant association between the statin target of action,3-hydroxy-3-methyl glutaryl coenzyme A reductase-mediated low-density lipoprotein cholesterol,and heel bone BMD(β=-0.086,95%CI:-0.117 to-0.055,P=5.42×10-8)and whole-body BMD(β=-0.193,95%CI:-0.288 to-0.098,P=7.35×10-5).The findings of this study support the protective effect of statin drugs on BMD.These findings not only deepen our understanding of the relationship between cholesterol-related genes and bone health but also reveal potential therapeutic targets for improving BMD.

BACKGROUND:Epidemiologic studies have shown a correlation between type 2 diabetes mellitus and bone mineral density,but the causal association between the two and whether it is age-related remains unknown. OBJECTIVE:To study the correlation between type 2 diabetes mellitus and whole body bone mineral density at unspecified age and at all ages based on the Mendelian randomization technique. METHODS:The genome-wide association study(GWAS)data of type 2 diabetes mellitus and bone mineral density at all ages were selected from the IEU GWAS database of the University of Bristol.The exposure data were single nucleotide polymorphisms with significant correlation with type 2 diabetes mellitus as instrumental variables,and bone mineral density at all ages was selected as the outcome variable.Two-sample Mendelian randomization analysis of type 2 diabetes mellitus and bone mineral density was performed using inverse variance weighted method,weighted median estimator,and MR-Egger regression.The βvalue was used to evaluate the causal relationship between type 2 diabetes mellitus and bone mineral density at all ages. RESULTS AND CONCLUSION:A total of 118 single nucleotide polymorphisms were extracted from the GWAS summary data as instrumental variables.The MR-Egger regression results showed that there was no horizontal pleiotropy,but there was heterogeneity.Therefore,this study was based on the inverse variance weighted results.Inverse variance weighted results showed that type 2 diabetes mellitus may be a potential protective factor for bone mineral density and is associated with age:age-unspecified bone mineral density[β=0.038,95%confidence interval(CI):1.01-1.07,P=0.002],bone mineral density over 60 years old(β=0.052,95%CI:1.01-1.09,P=0.027),bone mineral density between 45-60 years old(β=0.049,95%CI:1.01-1.09,P=0.009),bone mineral density between 30-45 years old(β=0.033,95%CI:0.99-1.07,P=0.127).bone mineral density of 15-30 years old(β=0.025,95%CI:0.95-1.10,P=0.506),bone mineral density of 0-15 years old(β=0.006,95%CI:0.96-1.04,P=0.716).Similar results were obtained from the MR-Egger regression and weighted median estimator analyses.These findings indicate that type 2 diabetes mellitus may be one of the protective factors of bone mineral density,and there is a correlation with age.

People frequently struggle to juggle their work, family, and social life in today’s fast-paced environment, which can leave them exhausted and worn out. The development of technologies for detecting fatigue while driving is an important field of research since driving when fatigued poses concerns to road safety. In order to throw light on the most recent advancements in this field of research, this paper provides an extensive review of fatigue driving detection approaches based on electroencephalography (EEG) data. The process of fatigue driving detection based on EEG signals encompasses signal acquisition, preprocessing, feature extraction, and classification. Each step plays a crucial role in accurately identifying driver fatigue. In this review, we delve into the signal acquisition techniques, including the use of portable EEG devices worn on the scalp that capture brain signals in real-time. Preprocessing techniques, such as artifact removal, filtering, and segmentation, are explored to ensure that the extracted EEG signals are of high quality and suitable for subsequent analysis. A crucial stage in the fatigue driving detection process is feature extraction, which entails taking pertinent data out of the EEG signals and using it to distinguish between tired and non-fatigued states. We give a thorough rundown of several feature extraction techniques, such as topology features, frequency-domain analysis, and time-domain analysis. Techniques for frequency-domain analysis, such wavelet transform and power spectral density, allow the identification of particular frequency bands linked to weariness. Temporal patterns in the EEG signals are captured by time-domain features such autoregressive modeling and statistical moments. Furthermore, topological characteristics like brain area connection and synchronization provide light on how the brain’s functional network alters with weariness. Furthermore, the review includes an analysis of different classifiers used in fatigue driving detection, such as support vector machine (SVM), artificial neural network (ANN), and Bayesian classifier. We discuss the advantages and limitations of each classifier, along with their applications in EEG-based fatigue driving detection. Evaluation metrics and performance assessment are crucial aspects of any detection system. We discuss the commonly used evaluation criteria, including accuracy, sensitivity, specificity, and receiver operating characteristic (ROC) curves. Comparative analyses of existing models are conducted, highlighting their strengths and weaknesses. Additionally, we emphasize the need for a standardized data marking protocol and an increased number of test subjects to enhance the robustness and generalizability of fatigue driving detection models. The review also discusses the challenges and potential solutions in EEG-based fatigue driving detection. These challenges include variability in EEG signals across individuals, environmental factors, and the influence of different driving scenarios. To address these challenges, we propose solutions such as personalized models, multi-modal data fusion, and real-time implementation strategies. In conclusion, this comprehensive review provides an extensive overview of the current state of fatigue driving detection based on EEG signals. It covers various aspects, including signal acquisition, preprocessing, feature extraction, classification, performance evaluation, and challenges. The review aims to serve as a valuable resource for researchers, engineers, and practitioners in the field of driving safety, facilitating further advancements in fatigue detection technologies and ultimately enhancing road safety.

Osteoarthritis (OA) is a chronic degenerative joint disease and the most common type of arthritis. It involves almost any joint and can lead to chronic pain and disability. In the late 19th century, Roentgen discovered X-rays, and then began to use radiotherapy to treat tumors. In the 1980s, Luckey thought that low-level radiation (LDRT) might be beneficial to biology, and it was gradually applied to the treatment of some diseases. This paper introduces the epidemiology, risk factors, clinical manifestations and treatment methods of OA, points out that the cartilage injury and the important effect of synovial inflammation in the pathogenesis of OA, namely when the homeostasis of articular cartilage are destroyed, synthetic metabolism and catabolism imbalances, cartilage cells damaged their breakdown products consumed by synovial cells. Synovial cells and synovial macrophages secrete proinflammatory cytokines, metalloproteinases and proteolytic enzymes, leading to cartilage matrix degradation and chondrocyte damage, which aggravates synovial inflammation and cartilage damage, forming a vicious cycle. The possible mechanism and clinical research progress of LDRT in alleviating OA are discussed. LDRT can regulate inflammatory response, inhibit the production of pro-inflammatory cytokines, and promote the production of anti-inflammatory cytokines, thereby achieving anti-inflammatory effect. Studies have shown that after irradiation, the expression of inducible nitric oxide synthase (iNOS) was decreased, the release of reactive oxygen species (ROS) and the production of superoxide were inhibited, the anti-inflammatory phenotype of macrophages was differentiated from M1 to M2, the inflammatory CD8⁺ T cells were transformed into CD4⁺ T cells, and the number of dendritic cells (DC) was significantly reduced. LDRT inhibit the production of proinflammatory factors in leukocytes, reduce their recruitment and adhesion, and down-regulate the expression levels of cell adhesion molecules such as selectin, intercellular adhesion molecule (ICAM) and vascular endothelial cell adhesion molecule (VCAM). LDRT can regulate endothelial cells, stimulate endothelial cells to produce a large amount of TGF-β1, reduce the adhesion of endothelial cells to peripheral blood mononuclear cells (PBMC), and contribute to the anti-inflammatory effect of LDRT. It also exerted anti-inflammatory effects by regulating mitochondrial growth differentiation factor 15 (GDF15). After low-level radiation, the MMP-13 (matrix metalloproteinases-13) and the ADAMTS5 (recombinant a disintegrin and metalloproteinase with thrombospondin-5) decreased, the Col2a1 (collagen type 2) increased in chondrocytes. In the existing clinical studies, most patients can achieve relief of joint pain and recovery of joint mobility after irradiation, and the patients have good feedback on the efficacy. The adverse reactions (acute reactions and carcinogenic risks) caused by LDRT in the treatment of OA are also discussed. During the treatment of OA, a few patients have symptoms such as redness, dryness or itching at the joint skin, and the symptoms are mild and do not require further treatment. Patients are thus able to tolerate more frequent and longer doses of radiotherapy. In general, LDRT itself has the advantages of non-invasive, less adverse reactions, and shows the effect of pain relief and movement improvement in the treatment of OA. Therefore, LDRT has a broad application prospect in the treatment of OA.

ObjectiveThis study aimed to observe the impact of sinomenine hydrochloride on the proliferation of fibroblasts and the mRNA expression of related genes in knee joint adhesion and contracture in rabbits. Additionally, we sought to explore its potential mechanisms in combating knee joint adhesion and contracture. MethodsFibroblasts were cultured in vitro, and experimental groups with varying concentrations of sinomenine hydrochloride were established alongside a control group. Cell proliferation was assessed using the CCK-8 assay. Changes in the mRNA expression of fibroblast-related genes following sinomenine hydrochloride treatment were evaluated using RT-qPCR. The impact of the drug on serum levels of inflammatory cytokines was determined using the ELISA method, and the expression of related proteins was assessed using Western blot. ResultsSinomenine hydrochloride was found to inhibit fibroblast viability, with viability decreasing as the concentration of sinomenine hydrochloride increased. The effects of sinomenine hydrochloride in all experimental groups were highly significant (P<0.05). At the mRNA expression level, compared to the control group, sinomenine hydrochloride led to a significant downregulation of inflammatory cytokines in all groups (P<0.05). Additionally, the expression levels of apoptosis-related proteins significantly increased, while Bcl-2 mRNA expression decreased (P<0.05). The mRNA expression levels of the PI3K/mTOR/AKT3 signaling pathway also decreased (P<0.05). At the protein expression level, in comparison to the control group, the levels of inflammatory cytokines IL-6, IL-8, IL-1β, and TGF-β were significantly downregulated in the middle and high-dose sinomenine hydrochloride groups (P<0.05). The expression levels of cleaved-PARP, cleaved caspase-3/7, and Bax increased and were positively correlated with the dose, while the expression levels of the anti-apoptotic protein Bcl-2 and the PI3K/AKT3/mTOR signaling pathway were negatively correlated with the dose. Sinomenine hydrochloride exhibited a significant inhibitory effect on the viability of rabbit knee joint fibroblasts, which may be associated with the downregulation of inflammatory cytokines IL-6, IL-8, and IL-1β, promotion of apoptosis-related proteins cleaved-PARP, cleaved caspase-3/7, and Bax, suppression of Bcl-2 expression, and inhibition of gene expression in the downstream PI3K/AKT3/mTOR signaling pathway. ConclusionSinomenine hydrochloride can inhibit the inflammatory response of fibroblasts in adhesive knee joints and accelerate fibroblast apoptosis. This mechanism may offer a novel approach to improving and treating knee joint adhesion.

Quercetin can mediate the activation of mitogen-activated protein kinase(MAPK)signaling pathways to prevent osteoporosis(OP).This paper comprehensively discusses the interrelationship between MAPK and osteoporosis-related cells based on the latest domestic and international research.Additionally,it elucidates the research progress of quercetin in mediating the MAPK signaling pathway for OP prevention.The aim is to provide an effective foundation for the clinical prevention and treatment of OP and the in-depth development of quercetin.

Objective This study aimed to compare the current Essen rabies post-exposure immunization schedule(0-3-7-14-28)in China and the simple 4-dose schedule(0-3-7-14)newly recommended by the World Health Organization in terms of their safety,efficacy,and protection. Methods Mice were vaccinated according to different immunization schedules,and blood was collected for detection of rabies virus neutralizing antibodies(RVNAs)on days 14,21,28,35,and 120 after the first immunization.Additionally,different groups of mice were injected with lethal doses of the CVS-11 virus on day 0,subjected to different rabies immunization schedules,and assessed for morbidity and death status.In a clinical trial,185 rabies-exposed individuals were selected for post-exposure vaccination according to the Essen schedule,and blood was collected for RVNAs detection on days 28 and 42 after the first immunization. Results A statistically significant difference in RVNAs between mice in the Essen and 0-3-7-14 schedule groups was observed on the 35th day(P<0.05).The groups 0-3-7-14,0-3-7-21,and 0-3-7-28 showed no statistically significant difference(P>0.05)in RVNAs levels at any time point.The post-exposure immune protective test showed that the survival rate of mice in the control group was 20%,whereas that in the immunization groups was 40%.In the clinical trial,the RVNAs positive conversion rates on days 28(14 days after 4 doses)and 42(14 days after 5 doses)were both 100%,and no significant difference in RVNAs levels was observed(P>0.05). Conclusion The simple 4-dose schedule can produce sufficient RVNAs levels,with no significant effect of a delayed fourth vaccine dose(14-28 d)on the immunization potential.

Osteoporotic proximal humeral fracture (OPHF) is one of the common osteoporotic fractures in the aged, with an incidence only lower than vertebral compression fracture, hip fracture, and distal radius fracture. OPHF, secondary to osteoporosis and characterized by poor bone quality, comminuted fracture pattern, slow healing, and severely impaired shoulder joint function, poses a big challenge to the current clinical diagnosis and treatment. In the field of diagnosis, treatment, and rehabilitation of OPHF, traditional Chinese and Western medicine have accumulated rich experience and evidence from evidence-based medicine and achieved favorable outcomes. However, there is still a lack of guidance from a relevant consensus as to how to integrate the advantages of the two medical systems and achieve the integrated diagnosis and treatment. To promote the diagnosis and treatment of OPHF with integrated traditional Chinese and Western medicine, relevant experts from Orthopedic Expert Committee of Geriatric Branch of Chinese Association of Gerontology and Geriatrics, Youth Osteoporosis Group of Orthopedic Branch of Chinese Medical Association, Osteoporosis Group of Orthopedic Surgeon Branch of Chinese Medical Doctor Association, and Osteoporosis Committee of Shanghai Association of Integrated Traditional Chinese and Western Medicine have been organized to formulate Expert consensus on the diagnosis and treatment of osteoporotic proximal humeral fracture with integrated traditional Chinese and Western medicine ( version 2024) by searching related literatures and based on the evidences from evidence-based medicine. This consensus consists of 13 recommendations about the diagnosis, treatment and rehabilitation of OPHF with integrated traditional Chinese medicine and Western medicine, aimed at standardizing, systematizing, and personalizing the diagnosis and treatment of OPHF with integrated traditional Chinse and Western medicine to improve the patients ′ function.