BACKGROUND:Primary osteoporosis has a high incidence,but the pathogenesis is not fully understood.Currently,there is a lack of effective early screening indicators and treatment programs. OBJECTIVE:To further explore the mechanism of primary osteoporosis through comprehensive bioinformatics analysis. METHODS:The primary osteoporosis data were obtained from the gene expression omnibus(GEO)database,and the differentially expressed genes were screened for Gene Ontology(GO)function and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment analysis.In addition,the differentially expressed genes were subjected to protein-protein interaction network to determine the core genes related to primary osteoporosis,and the least absolute shrinkage and selection operator algorithm was used to identify and verify the primary osteoporosis-related biomarkers.Immune cell correlation analysis,gene enrichment analysis and drug target network analysis were performed.Finally,the biomarkers were validated using qPCR assay. RESULTS AND CONCLUSION:A total of 126 differentially expressed genes and 5 biomarkers including prostaglandins,epidermal growth factor receptor,mitogen-activated protein kinase 3,transforming growth factor B1,and retinoblastoma gene 1 were obtained in this study.GO analysis showed that differentially expressed genes were mainly concentrated in the cellular response to oxidative stress and the regulation of autophagy.KEGG analysis showed that autophagy and senescence pathways were mainly involved.Immunoassay of biomarkers showed that prostaglandins,retinoblastoma gene 1,and mitogen-activated protein kinase 3 were closely related to immune cells.Gene enrichment analysis showed that biomarkers were associated with immune-related pathways.Drug target network analysis showed that the five biomarkers were associated with primary osteoporosis drugs.The results of qPCR showed that the expression of prostaglandins,epidermal growth factor receptor,mitogen-activated protein kinase 3,and transforming growth factor B1 in the primary osteoporosis sample was significantly increased compared with the control sample(P<0.001),while the expression of retinoblastoma gene 1 in the primary osteoporosis sample was significantly decreased compared with the control sample(P<0.001).Overall,the study screened and validated five potential biomarkers of primary osteoporosis,providing a reference basis for further in-depth investigation of the pathogenesis,early screening and diagnosis,and targeted treatment of primary osteoporosis.

Chronic fatigue syndrome (CFS) is a common problem in military maritime navigation, which greatly affects the safety of military missions. The use of animal models to carry out research on the mechanism of CFS and treatment measures is a common method. This paper systematically introduced the construction methods of CFS models such as single-factor and multi-factor models, summarized common evaluation indicators of CFS, including behavioral and biochemical indicators, and summed up key characteristics of CFS animal models in military oceanic navigation combined with common causes of CFS in military contexts, such as prolonged continuous work, high-intensity physical activity, sleep deprivation, psychological stress, and extreme environmental conditions. The key characteristics of the animal models included, but not limited to, chronic fatigue, sleep disorders, impaired cognitive function, psychological stress responses, and abnormal biochemical indicators. Furthermore, this article identified future research directions for CFS animal models in military oceanic navigation to enhance the application value of the models and provide robust support for the health protection and disease prevention of military personnel.

Vascular cognitive impairment (VCI), caused by cerebrovascular dysfunction, severely impacts the quality of life in the elderly population, yet effective therapeutic approaches remain limited. Mitophagy, a selective mitochondrial quality-control mechanism, has emerged as a critical focus in neurological disease research. Accumulating evidence indicates that mitophagy modulates oxidative stress, neuroinflammation, and neuronal apoptosis. Key signaling pathways associated with mitophagy—including PINK1/Parkin, BNIP3/Nix, FUNDC1, PI3K/Akt/mTOR, and AMPK—have been identified as potential therapeutic targets for VCI. This review summarizes the mechanistic roles of mitophagy in VCI pathogenesis and explores emerging therapeutic strategies targeting these pathways, aiming to provide novel insights for clinical intervention and advance the development of effective treatments for VCI.

Clinical practice guidelines represent the best recommendations for patient care. They are developed through systematically reviewing currently available clinical evidence and weighing the relative benefits and risks of various interventions. However, clinical practice guidelines have to go through a long translation cycle from development and revision to clinical promotion and application, facing problems such as scattered distribution, high duplication rate, and low actual utilization. At present, the clinical practice guideline information platform can directly or indirectly solve the problems related to the lengthy revision cycles, decentralized dissemination and limited application of clinical practice guidelines. Therefore, this paper systematically examines different types of clinical practice guideline information platforms and investigates their corresponding challenges and emerging trends in platform design, data integration, and practical implementation, with the aim of clarifying the current status of this field and providing valuable reference for future research on clinical practice guideline information platforms.

ObjectiveTo investigate the association between variant degree of sarcopenia and all-cause mortality in Chinese elderly residents, and to provide insights into the prevention and control of sarcopenia in the elderly population. MethodsData from the China Health and Retirement Longitudinal Study (CHARLS) from 2011 and 2020 were analyzed, and a total of 2 792 subjects aged 65 years or older were selected according to the inclusion and exclusion criteria. Univariate and multivariate Cox proportional hazards regression analysis were performed to explore the potential factors influencing all-cause mortality among the elderly in China, and Kaplan-Meier curves were used to visualize the survival of elderly people with variant degree of sarcopenia. Finally, a multiple-adjusted Cox proportional hazards regression model was used to control the confounding factors and explore the association between sarcopenia and all-cause mortality. ResultsBefore adjusting potential covariates, univariate and multivariate Cox proportional hazards regression models showed that 10-year all-cause mortality was significantly associated with variant degree of sarcopenia, namely possible sarcopenia (HR=1.40, 95%CI: 1.1‒1.68, P<0.001), mild-to-moderate sarcopenia (HR=1.49, 95%CI:1.20‒1.86, P<0.001), and severe sarcopenia (HR=1.68, 95%CI: 1.29‒2.19, P<0.001); after adjusting all confounders, 10-year all-cause mortality remained to be significantly associated with variant degree of sarcopenia, including probable sarcopenia (HR=1.38, 95%CI: 1.15‒1.66, P<0.001), mild-to-moderate sarcopenia (HR=1.48, 95%CI: 1.19‒1.84, P<0.001) and severe sarcopenia (HR=1.71, 95%CI: 1.31‒2.23, P<0.001). ConclusionIn Chinese elderly residents, sarcopenia is positively associated with an increased risk of 10-year all-cause mortality, and the progression of sarcopenia is positively associated with an increased risk of death.

OBJECTIVE To explore the mechanism of joint injection of Caulophyllum robustum Maxim in the treatment of rheumatoid arthritis （RA）. METHODS The targets of main saponins in C. robustum Maxim were obtained from Swiss Target Prediction， and the RA treatment targets collected from the GeneCards and OMIM database were intercrossed to establish an interaction network based on network pharmacology. Gene ontology analysis and Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway analysis were performed. RA model was established by injecting complete Freund’s adjuvant into the back of rabbits for verification. The arthritis index score， knee diameter and pain threshold of rabbits were compared. Pathological examination of rabbit synovial tissue was carried out. The levels of tumor necrosis factor α （TNF-α）， interleukin-1β （IL-1β） and IL-6 in rabbit serum and synovial fluid were detected. The phosphorylation levels of tyrosine protein Janus kinase 2 （JAK2） and signal transducer and activator of transcription 3 （STAT3） proteins in rabbit synovium were detected. RESULTS Network pharmacology identified 143 intersection targets between the drug and RA. After the construction of the “drug-component-target” network， the core components of the network were echinocystic acid， oleanolic acid， hederagenin， cauloside A and cauloside C， etc. Additionally， the top 10 core targets of PPI network were SRC， STAT3， MAPK1， EGFR， PIK3CA， MAPK3， GRB2， JUN， PTPN11 and JAK2. The results of KEGG pathway analysis showed that the JAK/STAT signaling pathway was mainly involved in the treatment of RA by joint injection of C. robustum Maxim. Results of validation test showed that compared with model group， joint injection of C. robustum Maxim could reduce the swelling of rabbit knee joint， relieve the hyperplasia of synovial layer， reduce the hyperplasia of lower connective tissue， and reduce the number of inflammatory cells and capillaries. The arthritis index score （excluding low-dose group of C. robustum Maxim）， knee diameter， the levels of TNF-α， IL-1β and IL-6 in serum and synovial fluid， and the protein phosphorylation levels of JAK2 and STAT3 were decreased significantly （P＜0.05 of P＜0.01）， while the pain threshold were reduced significantly （P＜0.01）. CONCLUSIONS The core components that may alleviate the inflammatory response of RA in joint injection of C. robustum Maxim could include echinocystic acid， oleanolic acid， hederagenin， cauloside A， and cauloside C. Its mechanism may be related to the inhibition of JAK/STAT signaling pathway and the reduction of inflammatory responses.

ObjectiveTo investigate the independent risk factors for poor prognosis in patients with acute pancreatitis （AP） by analyzing inflammatory factors， lung ultrasound （LUS） scores， and CT scores， to establish a nomogram prediction model， and to provide a basis for early clinical intervention. MethodsA total of 409 patients with AP who were admitted to Changshu Hospital Affiliated to Soochow University from January 2021 to October 2023 were enrolled as subjects， and they were divided into modeling group with 288 patients and validation group with 121 patients using the simple random sampling method at a ratio of 7∶3. According to the prognosis， each group was further divided into poor prognosis group and good prognosis group. The levels of C-reactive protein （CRP）， procalcitonin （PCT）， interleukin-6 （IL-6）， interleukin-10 （IL-10）， and tumor necrosis factor-α （TNF-α） were measured for both groups within 72 hours after admission， and LUS scores， modified CT severity index （MCTSI）， and extrapancreatic inflammation on computed tomography （EPIC） scores were assessed within 48‍ ‍—‍ ‍72 hours after admission. The independent-samples t test was used for comparison of normally distributed continuous data between groups， and the Mann-Whitney U rank sum test was used for comparison of non-normally distributed continuous data between groups； the chi-square test was used for comparison of categorical data between groups. A LASSO regression analysis was used to screen for the variables that were included in the multivariate logistic regression model to identify the independent risk factors for the poor prognosis of AP， and then a nomogram prediction model was established. The receiver operating characteristic （ROC） curve and the calibration curve were used to assess the discriminatory ability and goodness of fit of the nomogram model， and a decision curve analysis was used to assess the clinical applicability of the model. ResultsAmong the 288 patients with AP in the modeling group， there were 33 （11.46%） in the poor prognosis group and 255 （88.54%） in the good prognosis group； among the 121 patients with AP in the validation group， there were 13 （10.74%） in the poor prognosis group and 108 （89.26%） in the good prognosis group. Compared with the good prognosis group， the poor prognosis group had significantly higher levels of CRP （Z=3.607， P<0.05）， IL-6 （Z=4.189， P<0.05）， and TNF-α （t=2.584， P<0.05）， and significantly higher scores of LUS （t=8.075， P<0.05）， MCTSI （t=5.929， P<0.05）， and EPIC （t=8.626， P<0.05）. The multivariate logistic regression analysis showed that CRP （odds ratio ［OR］=3.592， 95% confidence interval ［CI］： 1.272‍ ‍—‍ ‍10.138， P<0.05）， IL-6 （OR=4.225， 95%CI： 1.468‍ ‍—‍ ‍12.156， P<0.05）， TNF-α （OR=3.540， 95%CI： 1.205‍ ‍—‍ ‍10.401， P<0.05）， LUS （OR=7.094， 95%CI： 2.398‍ ‍—‍ ‍20.986， P<0.05）， MCTSI （OR=7.612， 95%CI： 2.832‍ ‍—‍ ‍20.462， P<0.05）， and EPIC （OR=11.915， 95%CI： 4.007‍ ‍—‍ ‍35.432， P<0.05） were independent risk factor for poor prognosis in patients with AP. A nomogram prediction model was established based on the above 6 indicators， which had an area under the ROC curve of 0.924 （95%CI： 0.883‍ ‍—‍ ‍0.964）， and the Youden index for the optimal cut-off value was 0.670， with a sensitivity of 0.909 and a specificity of 0.761. The calibration curve showed good consistency between the predicted and observed results in both the modeling group and the validation group. The decision curve analysis showed that the predictive model had certain clinical effectiveness. ConclusionThe nomogram model for predicting the risk of poor prognosis in AP patients based on CRP， IL-6， TNF-α， LUS score， MCTSI score， and EPIC score has relatively good predictive performance and can provide important strategic guidance for developing early intensified treatment regimens for AP patients in clinical practice.

Objective To validate the efficacy of the prediction model for difficulty of peroral endoscopic myotomy (POEM) through an independent cohort. Methods A total of 617 patients with achalasia who underwent POEM at the Endoscopy Center of Zhongshan Hospital, Fudan University from January 2021 to December 2023 were included. The general data of patients were collected, and the predictive value of the prediction model for POEM difficulty in the validation cohort was estimated. The stratified analysis was undergone according to the difficulty risk scores. Results In 617 consecutive patients, technical difficulty was observed in 90 cases (14.6%). The predictive model demonstrated moderate discriminatory capacity with an area under the receiver operating characteristic curve (AUC) of 0.711 (95%CI 0.643-0.780). Patients were stratified into three risk categories according to the difficulty risk scores: low-risk (＜0.1), medium-risk (0.1-0.25), and high-risk (≥0.25). The corresponding technical difficulty rates were 7.3%, 16.9%, and 51.6%, respectively. Conclusion The prediction model for POEM difficulty built by our center shows good stability and discrimination, and has good clinical application value.

Objective: To analyze the effects of health literacy on overweight and obesity among primary school students and their parents in terms of salt, oil and sugar reduction (referred to as the "three reductions"), so as to provide a theoretical basis for the development of obesity control measures. Methods: From March to April 2024, a total of 1 022 fourthgrade primary school students and 913 parents were surveyed in 24 classes in six counties in Shandong Province using multistage cluster random sampling, and physical measurements of primary school students were conducted. Pearsons correlation analysis and ordered multivariate Logistic regression were used to investigate the associations between health literacy of primary school students and their parents with overweight and obesity among children. Results: The detection rates of overweight and obesity primary school students in Shandong Province were 14.87% and 24.66%, respectively, with significant sex difference in obesity rate (29.46% for boys and 19.76% for girls) (χ2=12.93, P<0.01). In addition to students reducing oil scores, parental reducing salt,reducing oil,reducing sugar, comprehensive health literacy scores and students reducing salt,reducing sugar and comprehensive health literacy scores showed a negative relationship with students overweight and obesity (r=-0.10, -0.08, -0.07, -0.10, -0.04, -0.07, -0.03, P<0.05). The overweight and obesity rates among primary school students with high parental reducing salt,reducing oil,reducing sugar and composite health literacy scores were lower (OR=0.69, 0.69, 0.71, 0.63, P<0.05); and the overweight and obesity rate among students with high parental and low parental and high and low parental health literacy scores were lower (OR=0.68, 0.57, P<0.05). Conclusion Improving health literacy regarding "three reductions" for parents and children, especially parents, can effectively reduce the risk of childhood overweight and obesity.

ObjectiveTo explore the construction and evaluation methods of a rat model of acute myocardial infarction（AMI） with Qi and Yin deficiency syndrome established by sleep deprivation combined with coronary artery ligation. MethodsThirty-six SD rats were randomly divided into a normal group（n=6）， a myocardial infarction group（model A group， n=10）， an acute sleep deprivation+myocardial infarction group（model B group， n=10）， and a chronic sleep deprivation+myocardial infarction group（model C group， n=10） according to body weight. Rats in the normal group were not treated， rats in the model A group underwent only ligation of the left anterior descending coronary artery， rats in the model B group were sleep deprived for 96 h and then underwent ligation of the left anterior descending coronary artery， and rats in the model C group were sleep deprived for an additional 48 h each week with a 24 h rest period as one cycle for three weeks on the basis of the model B group. After coronary artery ligation in the model C group， the first week was defined as the starting point of the first sleep deprivation cycle， and indexes were tested weekly for rats in each group for 3 weeks. Electrocardiogram was used to determine the ligation of the left anterior descending coronary artery in rats， and small animal echocardiography was used to evaluate the cardiac function. The levels of serum creatine kinase（CK）， creatine kinase isoenzyme（CK-MB）， lactate dehydrogenase（LDH）， cardiac troponin T（cTnT）， interleukin-18（IL-18）， and tumor necrosis factor-α（TNF-α） were detected by biochemical assays， and hematoxylin-eosin（HE） staining was used to evaluate the pathological changes of myocardial tissue in rats. The syndrome indicators of Qi and Yin deficiency were evaluated by general state and body weight， grip strength， facial temperature， paw temperature， rectal temperature， salivary flow rate， open field test， tongue color［red（R）， green（G）， and blue（B）］ values， pulse amplitude changes， and enzyme-linked immunosorbent assay（ELISA） for the detection of expression levels of cyclic adenosine monophosphate（cAMP）， cyclic guanosine monophosphate（cGMP）， rat serum corticotropin-releasing factor（CRF）， adrenocorticotropic hormone（ACTH）， triiodothyronine（T3）， tetraiodothyronine（T4）， and corticosterone（CORT） in serum. ResultsIn terms of disease indicators， compared with the normal group， the ST segment of the electrocardiogram in each model group was significantly elevated， the echocardiographic parameters were decreased， the contents of myocardial enzymes and inflammatory factors were increased（P<0.01）， and the myocardial tissue in the infarcted area was significantly damaged. In terms of syndrome indicators， compared with the normal group， the body weight of rats in the model B and C groups decreased at each time point， the grip strength of each model group decreased， the total distance traveled and the number of entries into the center in the open field test decreased， the immobility time increased， the facial and rectal temperatures of rats in the model B and C groups increased， the salivary flow rate of each model group decreased， the tongue color was bright red or light， the tongue body was dry or smooth like a mirror， lacking of moisture sensation， the R， G and B values of the tongue surface increased， the pulse amplitude changes decreased， and the contents of T3 and T4 increased， while the expressions of cAMP， CRF， ACTH and CORT in the model B and C groups increased（P<0.05， P<0.01）. ConclusionContinuous sleep deprivation for 96 h in a multi-platform method combined with coronary artery ligation can construct a rat model of AMI with Qi and Yin deficiency syndrome， and the syndrome manifestations can be maintained for 3 weeks.