Objective: To examine the relationship between self-management behaviors and time perspective among patients with comorbid diabetes, so as to provide the evidence for improving self-management behaviors among patients with comorbid diabetes. Methods: The patients with comorbid diabetes who were registered in the chronic disease health management system of Minhang District, Shanghai Municipality in 2021, followed up regularly, and lived in Meilong Town were recruited. Demographic information and family history of diabetes were collected through questionnaire surveys. Time perspective and self-management behaviors were assessed using the Zimbardo Time Perspective Inventory and Diabetes Self-Management Behavior Scale, respectively. The relationship between self-management behaviors and time perspective was analyzed using a multivariable ordinal logistic regression model. Results: A total of 907 patients with comorbid diabetes were enrolled, including 472 males (52.04%) and 435 females (47.96%). There were 652 cases aged 65 years and above, accounting for 71.89%. In terms of the types of time perspective, 280 patients were future-oriented (30.87%), 236 were balanced (26.02%), 162 were sensation-seeking (17.86%), 123 were fatalistic (13.56%), and 106 were negative (11.69%). In terms of the self-management behaviors, 46 patients were good (5.07%), 643 were moderate (70.89%), and 218 were poor (24.04%). Multivariable ordinal logistic regression analysis showed that after adjusting for age, gender, educational level, marital status, occupation status, monthly income, and family history of diabetes, the patients with comorbid diabetes who had a future-oriented time perspective had better self-management behaviors (OR=1.874, 95%CI: 1.204-2.915). Conclusion The self-management behaviors among patients with comorbid diabetes are moderate to poor, and patients with a future-oriented time perspective can better engage in self-management behaviors.

Electromagnetic fields can regulate the fundamental biological processes involved in bone remodeling. As a non-invasive physical therapy, electromagnetic fields with specific parameters have demonstrated therapeutic effects on bone remodeling diseases, such as fractures and osteoporosis. Electromagnetic fields can be generated by the movement of charged particles or induced by varying currents. Based on whether the strength and direction of the electric field change over time, electromagnetic fields can be classified into static and time-varying fields. The treatment of bone remodeling diseases with static magnetic fields primarily focuses on fractures, often using magnetic splints to immobilize the fracture site while studying the effects of static magnetic fields on bone healing. However, there has been relatively little research on the prevention and treatment of osteoporosis using static magnetic fields. Pulsed electromagnetic fields, a type of time-varying field, have been widely used in clinical studies for treating fractures, osteoporosis, and non-union. However, current clinical applications are limited to low-frequency, and research on the relationship between frequency and biological effects remains insufficient. We believe that different types of electromagnetic fields acting on bone can induce various “secondary physical quantities”, such as magnetism, force, electricity, acoustics, and thermal energy, which can stimulate bone cells either individually or simultaneously. Bone cells possess specific electromagnetic properties, and in a static magnetic field, the presence of a magnetic field gradient can exert a certain magnetism on the bone tissue, leading to observable effects. In a time-varying magnetic field, the charged particles within the bone experience varying Lorentz forces, causing vibrations and generating acoustic effects. Additionally, as the frequency of the time-varying field increases, induced currents or potentials can be generated within the bone, leading to electrical effects. When the frequency and power exceed a certain threshold, electromagnetic energy can be converted into thermal energy, producing thermal effects. In summary, external electromagnetic fields with different characteristics can generate multiple physical quantities within biological tissues, such as magnetic, electric, mechanical, acoustic, and thermal effects. These physical quantities may also interact and couple with each other, stimulating the biological tissues in a combined or composite manner, thereby producing biological effects. This understanding is key to elucidating the electromagnetic mechanisms of how electromagnetic fields influence biological tissues. In the study of electromagnetic fields for bone remodeling diseases, attention should be paid to the biological effects of bone remodeling under different electromagnetic wave characteristics. This includes exploring innovative electromagnetic source technologies applicable to bone remodeling, identifying safe and effective electromagnetic field parameters, and combining basic research with technological invention to develop scientifically grounded, advanced key technologies for innovative electromagnetic treatment devices targeting bone remodeling diseases. In conclusion, electromagnetic fields and multiple physical factors have the potential to prevent and treat bone remodeling diseases, and have significant application prospects.

Objective To optimize the extraction process of Xuetong capsules and establish its quality control method. Methods The extraction process was optimized by orthogonal experiment using ethanol reflux method to investigate the effects of different factors on diphenylstilbene, aloin and extraction yield. The content of 5 anthraquinone compounds in Xuetong capsule was determined by HPLC. Results The optimal extraction process was to add 10 times ethanol, with an ethanol concentration of 70%, and extract 3 times, each time for 1 h; 5 components had a good linear relationship with peak area within a certain concentration range, r>0.999 7; The range of sample recovery rate was 93.66%-96.85%, RSD range of 1.48%-1.66%. The content determination results of the 5 components in three batches of Xuetong capsules were （0.632-0.641）, （0.660-0.681）, （1.968-1.991）, （2.547-2.580）, and （1.076-1.101） mg/g. Conclusion The method was accurate, reproducible, and highly feasible, which could be references for producing and improving the quality control standards of Xuetong capsules.

BACKGROUND:Previous studies have found that neohesperidin can delay bone loss in ovariectomized mice and has the potential to treat osteoporosis,but its specific mechanism of action remains to be explored. OBJECTIVE:To explore the key targets and possible mechanisms of neohesperidin in the treatment of osteoporosis based on bioinformatics and cell experiments in vitro. METHODS:The gene expression dataset related to osteoporosis was obtained from GEO database,and the differentially expressed genes were screened and analyzed in R language.The osteoporosis-related targets were screened from GeneCards and DisGeNET databases,and the neohesperidin-related targets were screened from ChEMBL and PubChem databases,and the common targets were obtained by intersection of the three.The String database was used to construct the PPI network of intersection genes,and the key targets were screened.The DAVID database was used for GO and KEGG enrichment analysis.The AutoDock software was used to verify the molecular docking between the neohesperidin and the target protein.The effect of neohesperidin on osteogenic differentiation of C57 mouse bone marrow mesenchymal stem cells was detected.Complete medium was used as blank control group;osteogenic induction medium was used as the control group;and osteogenic induction medium containing different concentrations of neohesperidin(25,50 μmol/L)was used as experimental group.The expression of alkaline phosphatase,the degree of mineralization,the expression of osteogenic-related genes and target genes during osteogenic differentiation of cells were measured at corresponding time points. RESULTS AND CONCLUSION:(1)9 253 differentially expressed genes,2 161 osteoporosis-related targets,and 326 neohesperidin-related targets were screened.There were 53 common targets among the three.All 53 genes were up-regulated in osteoporosis samples.The PPI network screened the target gene PRKACA of research significance.GO function and KEGG pathway enrichment analysis showed that neohesperidin's treatment of osteoporosis through PRKACA target mainly depended on biological processes such as protein phosphorylation and protein autophosphorylation,acting on endocrine resistance,proteoglycan in cancer,and estrogen signaling pathway to play a therapeutic role.Molecular docking results showed that neohesperidin had a certain binding ability to the protein corresponding to the target PRKACA.(2)The results of alkaline phosphatase staining showed that neohesperidin could promote the expression of alkaline phosphatase in the early stage of osteogenic differentiation of mesenchymal stem cells.Alizarin red staining showed that neohesperidin could promote the mineralization of osteogenic differentiation of mesenchymal stem cells.RT-qPCR results showed that neohesperidin could increase the mRNA expression of alkaline phosphatase,PRKACA,and osteocalcin.(3)These results indicate that neohesperidin may promote osteogenic differentiation through PRKACA target on the estrogen signaling pathway to prevent and treat osteoporosis.

BACKGROUND:Multiple studies have confirmed that mitogen-activated protein kinase(MAPK)signaling pathway is involved in cell proliferation,and microRNA(miR)is involved in the occurrence and development of hypertrophic scars.Therefore,the role of miR-27a-3p and MAPK signaling pathways in pathological scar formation has been further explored. OBJECTIVE:To explore the effect of miR-27a-3p on the proliferation of human hypertrophic scar fibroblasts through the MAPK signaling pathway. METHODS:The primary fibroblasts were isolated and collected from the skin samples.The primary fibroblasts were observed by inverted microscope and verified by immunofluorescence.The relative expression level of miR-27a-3p in tissues was detected by qRT-PCR.The target genes of hsa-miR-27a-3p were predicted using the database,and then the predicted target genes were enriched by gene ontology function analysis and biological pathway enrichment analysis of the Kyoto Encyclopedia of Genes and Genomes.There were seven groups:blank control,negative control,miR-27a-3p mimic,miR-27a-3p inhibitor,miR-27a-3p mimic+p38 MAPK inhibitor,miR-27a-3p mimic+extracellular regulated protein kinase inhibitor,miR-27a-3p mimic+c-Jun N-terminal kinase inhibitor.Western blot was used to detect the levels of extracellular regulated protein kinase,c-Jun N-terminal kinase inhibitor.and p38 kinase and their phosphorylation levels.Cell counting kit-8 and EdU were used to detect cell proliferation. RESULTS AND CONCLUSION:Compared with normal skin fibroblasts,hypertrophic scar fibroblasts had stronger proliferative activity(P<0.05)and faster proliferation level(P<0.001).Compared with normal skin,miR-27a-3p was highly expressed in hypertrophic scars(P<0.001).Compared with the negative control group,overexpression of miR-27a-3p could promote cell proliferation activity(P<0.001)and proliferation levels(P<0.001).Compared with the negative control group,knockdown of miR-27a-3p could inhibit the proliferation activity(P<0.05)and proliferation levels(P<0.001).Compared with the negative control group,overexpression of miR-27a-3p promoted the phosphorylated levels of extracellular regulated protein kinase,c-Jun N-terminal kinase,and p38 mitogen-activated protein kinase(P<0.05).Compared with the negative control group,knockdown of miR-27a-3p inhibited the phosphorylated levels of extracellular regulated protein kinase,c-Jun N-terminal kinase,and p38 MAPK(P<0.05).Compared with the miR-27a-3p mimic group,specific inhibitors of extracellular regulated protein kinase,c-Jun N-terminal kinase,and p38 MAPK reversed the effects of miR-27a-3p on the proliferative activity(P<0.01)and proliferation level(P<0.001)of fibroblasts.To conclude,these results suggest that miR-27a-3p promotes the proliferation of human hypertrophic scar fibroblasts by activating the MAPK signaling pathway.

OBJECTIVE:Although wearable electronic devices have demonstrated potential utility as intervention tools to enhance physical activity,comprehensive evaluations of their specific effects on the healthy adolescent population remain scarce.Consequently,this article aims to systematically explore and summarize the impact of interventions based on wearable electronic devices on the physical activity and sedentary behavior of healthy adolescents,thereby providing more precise and reliable evidence-based support for public health practices. METHODS:Randomized controlled trials assessing the effects of wearable electronic device-based interventions on the physical activity and sedentary behavior of healthy adolescents were retrieved from databases including Web of Science,PubMed,Scopus,The Cochrane Library,and EBSCO.Meta-analysis was conducted using Review Manager 5.4 and Stata 17,evaluating the effects of interventions on physical activity and sedentary behavior through the standardized mean difference.To ensure the robustness of the research findings,a Leave-One-Out sensitivity analysis was conducted,and subgroup analyses were carried out to explore the potential influence of different factors on the results.The review protocol was registered with the International Prospective Register of Systematic Reviews(CRD42023406645). RESULTS:(1)Twelve publications were ultimately included,consisting of three randomized controlled trials and nine cluster-randomized controlled trials,involving a total of 4 933 healthy adolescents.(2)Meta-analysis results revealed that interventions based on wearable electronic devices had a positive effect on moderate to vigorous physical activity[standardized mean difference(SMD)=0.10;95%confidence interval(CI):0.04 to 0.17;P<0.05).However,the interventions did not significantly improve low-intensity physical activity(SMD=-0.15;95%CI:-0.32 to 0.02;P>0.05),daily step count(SMD=0.13;95%CI:-0.65 to 0.91;P>0.05),and sedentary behavior(SMD=0.00;95%CI:-0.09 to 0.09;P>0.05).(3)Subgroup analyses indicated that short-term interventions(≤12 weeks)(SMD=0.11;95%CI:0.03 to 0.18;P=0.008),studies using pedometers worn at the waist or hip(SMD=0.10;95%CI:0.04 to 0.17;P=0.002),and experiments registered at clinical trial centers(SMD=0.11;95%CI:0.04 to 0.17;P=0.001)had a more significant effect on enhancing daily moderate to vigorous physical activity. CONCLUSION:The current evidence suggests that interventions based on wearable electronic devices possess certain advantages in enhancing the daily moderate-to-vigorous physical activity of healthy adolescents.It is recommended that interventions not exceeding 12 weeks and utilizing pedometers positioned at the waist or hip may yield more favorable results.However,the effects of these interventions on daily step count,low-intensity physical activity,and sedentary behavior exhibit some limitations.Consequently,future investigations necessitate higher-quality,larger-scale randomized controlled trials for further validation.

OBJECTIVE To analyze the factors influencing patient satisfaction in the outpatient pharmacy of tertiary maternity and child specialist hospitals in Chongqing， and provide a reference for improving the pharmaceutical management capability of tertiary maternity and child specialist hospitals and enhancing patients’ medical experience. METHODS Utilizing KANO model， a questionnaire was developed and data were analyzed. Key influencing factors were identified through the categorization of requirement attributes， Better values， Worse values， and two-dimensional matrix analysis. The impact of these categorized demand factors on overall satisfaction was further validated through Structural Equation Modeling （SEM）. RESULTS Cronbach’s α coefficient for the survey questionnaire was 0.855， exceeding the acceptable threshold of 0.7； Bartlett test for sphericality yielded a value of 5 538.56 with P＜0.01， indicating good reliability and validity of the survey results. Through the KANO model’s factor selection process， the top four key factors influencing patient satisfaction in outpatient pharmacies were determined to be： medication pick-up time （r＝0.45）， pharmacist service attitude （r＝0.45）， rational medication consultation （r＝0.41）， self-service calling system （r＝0.40）， all of which were subsequently validated through SEM. CONCLUSIONS The four factors of medication pick-up time， self-service calling system， pharmacist service attitude， and rational medication consultation significantly influence patient satisfaction in the outpatient pharmacies of tertiary maternity and child hospitals in Chongqing.

Obstructive sleep apnea (OSA) is an increasingly widespread sleep-breathing disordered disease, and is an independent risk factor for many high-risk chronic diseases such as hypertension, coronary heart disease, stroke, arrhythmias and diabetes, which is potentially fatal. The key to the prevention and treatment of OSA is early diagnosis and treatment, so the assessment and diagnostic technologies of OSA have become a research hotspot. This paper reviews the research progresses of severity assessment parameters and diagnostic technologies of OSA, and discusses their future development trends. In terms of severity assessment parameters of OSA, apnea hypopnea index (AHI), as the gold standard, together with the percentage of duration of apnea hypopnea (AH%), lowest oxygen saturation (LSpO₂), heart rate variability (HRV), oxygen desaturation index (ODI) and the emerging biomarkers, constitute a multi-dimensional evaluation system. Specifically, the AHI, which measures the frequency of sleep respiratory events per hour, does not fully reflect the patients’ overall sleep quality or the extent of their daytime functional impairments. To address this limitation, the AH%, which measures the proportion of the entire sleep cycle affected by apneas and hypopneas, deepens our understanding of the impact on sleep quality. The LSpO₂ plays a critical role in highlighting the potential severe hypoxic episodes during sleep, while the HRV offers a different perspective by analyzing the fluctuations in heart rate thereby revealing the activity of the autonomic nervous system. The ODI provides a direct and objective measure of patients’ nocturnal oxygenation stability by calculating the number of desaturation events per hour, and the biomarkers offers novel insights into the diagnosis and management of OSA, and fosters the development of more precise and tailored OSA therapeutic strategies. In terms of diagnostic techniques of OSA, the standardized questionnaire and Epworth sleepiness scale (ESS) is a simple and effective method for preliminary screening of OSA, and the polysomnography (PSG) which is based on recording multiple physiological signals stands for gold standard, but it has limitations of complex operations, high costs and inconvenience. As a convenient alternative, the home sleep apnea testing (HSAT) allows patients to monitor their sleep with simplified equipment in the comfort of their own homes, and the cardiopulmonary coupling (CPC) offers a minimal version that simply analyzes the electrocardiogram (ECG) signals. As an emerging diagnostic technology of OSA, machine learning (ML) and artificial intelligence (AI) adeptly pinpoint respiratory incidents and expose delicate physiological changes, thus casting new light on the diagnostic approach to OSA. In addition, imaging examination utilizes detailed visual representations of the airway’s structure and assists in recognizing structural abnormalities that may result in obstructed airways, while sound monitoring technology records and analyzes snoring and breathing sounds to detect the condition subtly, and thus further expands our medical diagnostic toolkit. As for the future development directions, it can be predicted that interdisciplinary integrated researches, the construction of personalized diagnosis and treatment models, and the popularization of high-tech in clinical applications will become the development trends in the field of OSA evaluation and diagnosis.

Polymyxin is an essential antibiotic for treating multidrug-resistant Gram-negative bacterial infections； however， its significant nephrotoxicity greatly limits its clinical application. To enhance its safety and improve patient outcomes， the study of novel biomarkers for the early prediction of polymyxin-associated acute kidney injury is critically important. Novel biomarkers， such as cystatin C， kidney injury molecule-1， neutrophil gelatinase-associated lipocalin， N-acetyl-β-glucosaminidase， β2- microglobulin， have shown obvious advantages in the early prediction of polymyxin-associated acute kidney injury. Compared to traditional biomarkers， these biomarkers can provide sensitive and specific diagnostic information in the early stages of kidney injury， helping to optimize individualized treatment plans and reduce clinical risks. However， the high cost of detection and complex operation still limit their clinical promotion. Future research should focus on optimizing the detection technology of new biomarkers， simplifying the operation process and reducing costs， while conducting multi-center， large-scale randomized controlled trials to systematically evaluate the sensitivity and specificity of various novel biomarkers， in order to promote their application in the field of prediction of renal injury in clinical practice.

Polymyxin is an essential antibiotic for treating multidrug-resistant Gram-negative bacterial infections； however， its significant nephrotoxicity greatly limits its clinical application. To enhance its safety and improve patient outcomes， the study of novel biomarkers for the early prediction of polymyxin-associated acute kidney injury is critically important. Novel biomarkers， such as cystatin C， kidney injury molecule-1， neutrophil gelatinase-associated lipocalin， N-acetyl-β-glucosaminidase， β2- microglobulin， have shown obvious advantages in the early prediction of polymyxin-associated acute kidney injury. Compared to traditional biomarkers， these biomarkers can provide sensitive and specific diagnostic information in the early stages of kidney injury， helping to optimize individualized treatment plans and reduce clinical risks. However， the high cost of detection and complex operation still limit their clinical promotion. Future research should focus on optimizing the detection technology of new biomarkers， simplifying the operation process and reducing costs， while conducting multi-center， large-scale randomized controlled trials to systematically evaluate the sensitivity and specificity of various novel biomarkers， in order to promote their application in the field of prediction of renal injury in clinical practice.