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.

Sepsis is a life-threatening organ dysfunction syndrome caused by a dysregulated host response to infection. Septic acute kidney injury (SAKI) is one of the most common complications of sepsis, and the occurrence of acute kidney injury (AKI) indicates that the patient's condition is critical with a poor prognosis. The traditional view holds that the main mechanism of SAKI is the reduction of renal blood flow, inadequate renal perfusion, inflammatory response, and microcirculatory dysfunction caused by sepsis, which subsequently leads to ischemia and necrosis of renal tubular cells. Recent research findings indicate that processes such as autophagy and other forms of programmed cell death play an increasingly important role. Autophagy is a programmed intracellular degradation process and is a form of programmed cell death. Cells degrade their cytoplasmic components via lysosomes, breaking down and recycling intracellular constituents to meet their metabolic needs, maintain intracellular homeostasis, and renew organelles. During SAKI, autophagy plays a crucial protective role through various mechanisms, including regulating inflammation and immune responses, clearing damaged organelles, and maintaining stability in the intracellular environment. In recent years, the role of autophagy in the pathogenesis and treatment of SAKI has received widespread attention. Research has confirmed that various intracellular signaling pathways and signaling molecules targeting autophagy [such as mammalian target of rapamycin (mTOR) signaling pathway, AMP-activated protein kinase (AMPK) signaling pathway, nuclear factor-κB (NF-κB) signaling pathway, and Sirtuins (SIRT), autophagy associated factor Beclin-1, and Toll-like receptor (TLR)] are involved in the development of SAKI. Due to the complex pathogenesis of SAKI, current treatment strategies include fluid management, infection control, maintenance of internal environment balance, and renal replacement therapy; however, the mortality remains high. In recent years, it has been found that autophagy plays a critical protective role in sepsis-mediated AKI. As a result, an increasing number of drugs are being developed to alleviate SAKI by regulating autophagy. This article reviews the latest advances in the role of autophagy in the pathogenesis and treatment of SAKI, with the aim of providing insights for the development of new drugs for SAKI patients.
Humans ; Acute Kidney Injury/etiology* ; Autophagy ; Sepsis/complications* ; Signal Transduction

Objective To establish a personalized Stanford type B aortic dissection numerical simulation model, and using computational fluid dynamics (CFD) numerical simulation to obtain the hemodynamic behavior and law of the type B aortic dissection at different stages of development. Methods Based on the theory of three-dimensional model reconstruction, we used CT images of a patient with type B aortic dissection in the Xiamen Cardiovascular Hospital of Xiamen University, relevant medical image processing software to reconstruct a personalized aortic three-dimensional model, and CFD to reconstruct the model which was simulated in fluid mechanics. Results The three-dimensional reconstruction model could intuitively observe the changing trend of the false cavity at different stages of the dissection development. Through fluid mechanics simulation, the blood flow rate, pressure, wall shear stress, vascular wall Von Mises stress and other parameters at different stages of the dissection development were obtained. Conclusion The hemodynamic behavior and law of relevant parameters in the development stage of aortic dissection are analyzed. The combination of the values of relevant parameters and clinical medical detection and diagnosis can well predict the development of the disease, and finally provide more theories and methods for the scientific diagnosis of aortic dissection.

Objective To establish a method for HPLC fingerprint analysis and determine three main components of Modified Zengye Decoction.Methods The chromatographic column was Shimadzu WondaSil C18 column(250 mm×4.6 mm,5 μm),the mobile phase was acetonitrile-0.3％aqueous phosphoric acid with a gradient elution procedure,the volume flow rate was 1.0 mL/min,the detection wavelengths were 265,203,310 and 290 nm,the column temperature was 25 ℃,and the injection volume was 20 μL.The HPLC fingerprints of the 10 batches of Modified Zengye Decoction were established,and the similarity analysis was performed by using the similarity evaluation system of chromatographic fingerprint of traditional Chinese medicine(version 2012A).The common peaks were identified and assigned,and the contents of the three main components were quantitatively determined.Results There were 17 common peaks in the fingerprints of 10 batches of Modified Zengye Decoction with similarities ranging from 0.872-0.989.The fingerprints recognized peak 9,14 and 17 as ferulic acid,aurantiamarin and harpagoside,respectively.The contents of ferulic acid,aurantiamarin and harpagoside were 0.067 3-0.174 8,0.498 8-1.522 7,0.270 9-0.802 4 mg/g,and the transfer rate were 30.74％-55.63％,11.77％-35.94％,23.15％-68.56％,respectively.Conclusion The established HPLC fingerprint analysis method combined with main components quantitative analysis method can be used for the quality analysis and control of Modified Zengye Decoction with simple analysis method and reliable results.

Objective To address the difficulty in collecting sufficient endoscopic images of colorectal submucosal tumors for traditional deep learning model training,a few-shot learning based model(FSL model)is proposed for classifying colorectal submucosal tumors and polyps on endoscopic images.Methods A total of 172 endoscopic images of colorectal submucosal tumors were collected from different centers,including 43 each of colorectal lipomas(CRLs),neuroendocrine tumors(NETs),serrated lesions and polyps(SLPs),and traditional adenomas.A support set and a query set were constructed using these endoscopic images.ResNet50 which was pre-trained on ImageNet and esophageal endoscopic images was used to extract image features.Subsequently,K-nearest neighbors algorithm was used for classification based on the calculated Euclidean distance.The classification performance of FSL model was evaluated through the comparison with the original model and endoscopists.Results FSL model had a 4-class classification accuracy of 0.831,Macro AUC of 0.925,Macro F1-score of 0.831;moreover,the proposed model achieved diagnostic accuracies of 0.925 and 0.906 for CRLs and NETs,with F1 score of 0.850 and 0.805.Additionally,the proposed model exhibited high classification consistency(Kappa=0.775)and interpretability.Conclusion The established FSL model performs well in distinguishing CRLs,NETs,SLPs and traditional adenomas on endoscopic images,indicating its potential utility in assisting the identification of colorectal submucosal tumors under endoscopy.

Objective The existing evidence of exercise rehabilitation in patients undergoing surgery for valvular heart disease was analyzed,described and evaluated by using evidence mapping methods.Methods Systematic reviews and randomized controlled trials on exercise rehabilitation of patients undergoing valvular heart disease surgery were searched from CNKI,Wanfang Data,VIP,CBM,Embase,PubMed,Cochrane Library,Web of Science,Ovid,CINAHL and other databases,and the search period was established until April 23,2024.The quality of the included literature was evaluated,and the feature information of the included literature was visualized in the form of bubble map and table.Results Fifty-one literatures(including 44 randomized controlled trials and 7 systematic evaluations)were finally included.Among the 44 randomized controlled trials,the types of exercise were mainly related to anaerobic exercise(3 literatures),aerobic exercise(11 literatures),flexibility training(8 literatures),and multisport exercise(22 literatures);postoperative inpatient rehabilitation accounted for a relatively high proportion(16 literatures),followed by overall postoperative rehabilitation(13 literatures)and pre-operative prehabilitation(7 literatures).Twenty-seven conclusions were categorized as"beneficial",15 as"possibly beneficial,"and one ach as"unclear"and"no effect".Seven systematic evaluations were subjected to Meta-analysis,and in terms of the design of the included studies,there were only 3 systematic reviews that included randomized controlled trials.Of the study conclusions,three were"beneficial",three were"possibly beneficial"and one was"unclear".Conclusion The evidence mapping shows that exercise rehabilitation is generally beneficial or potentially beneficial in the rehabilitation of valvular heart disease surgery,mainly in the postoperative inpatient rehabilitation phase.High-quality studies are needed to further investigate the effectiveness of exercise programs with different intensities,frequencies,and durations,as well as different valve types,adverse effects of exercise,and other outcome indicators.

Objective To systematically review the efficacy of enhanced recovery after surgery(ERAS)nursing on patients with dissection of aorta.Methods Nine databases,including PubMed,CNKI,etc were searched to identify randomized controlled trials involving dissection of aorta patients undergoing ERAS nursing.The retrieval time was from setting up of the databases until March 2024.Literature quality assessment followed by"Cochrane handbook for systematic reviews of interventions.Version 5.1.0",and Meta-analysis was conducted utilizing software of RevMan 5.4.Results Nine literatures with a total of 723 patients were included.The results of Meta-analysis showed that compared with the conventional nursing model,the application of ERAS nursing model could effectively promote the process of patients'postoperative recovery,and there were significant differences in indicators such as the time of postoperative mechanical ventilation,the time of the first postoperative out-of-bed activity,the time of tubing removal,the incidence of complications,the length of hospital stay,and the degree of perceived pain(P＜0.05).Conclusion Implementing nursing model based on ERAS on dissection of aorta patients can effectively enhance patients'postoperative recovery outcomes,thus worth clinical promotion and application.

Objective To evaluate the effect of mindfulness-based intervention in patients after percutaneous coronary intervention(PCI)through Meta-analysis.Methods Nine databases,including CNKI and PubMed,were searched for randomized controlled trials on the effect of mindfulness intervention in patients after PCI,and the search period was from the establishment of the database to May 31,2024.Two researchers independently screened the literature,extracted data and evaluated the quality,and used Revman 5.4 software for Meta-analysis.Results A total of 11 randomized controlled trials involving 998 patients were included.The results of Meta-analysis showed that compared with conventional care,the use of mindfulness-based intervention therapy could positively improve patients'postoperative anxiety,perceived stress level,mindfulness awareness and other indicators.In terms of safety measures,the incidence of cardiac adverse events was not statistically significant compared with usual care(P＞0.05).Conclusion Mindfulness intervention has a significant effect in patients after PCI.

Antimicrobial peptides (AMPs) are small molecular peptides widely existing in the innate immunity of organisms, serving as the first line of defense. Natural AMPs possess various biological activities and are difficult to develop drug resistance. However, they are easily broken down by digestive enzymes in the body. In recent years, increasing methods have been reported to enhance the stability of AMPs, including incorporation of unnatural amino acids, chemical modifications, strategic avoidance of enzyme cleavage sites, cyclization, and nano peptide design. This review summarizes the methods for improving the stability of AMPs against protease degradation, aiming to provide references for further research in this field.
Antimicrobial Peptides/pharmacology* ; Humans ; Peptide Hydrolases/metabolism* ; Protein Stability ; Antimicrobial Cationic Peptides/chemistry* ; Anti-Infective Agents/chemistry*

Objective To construct type Ⅰ collagen gels with different stiffness and to investigate the effects of three-dimensional(3D)culture environments of the gels on the morphology,free migration ability,and cell killing function of natural killer(NK)cells.Methods Type Ⅰ collagen was isolated from the tails of Sprague Dawley(SD)rats and collagen gels with different levels of stiffnesses were prepared accordingly.The microstructure of the collagen gels was observed by laser confocal microscopy.The stiffness of the collagen gels was assessed by measuring the plateau modulus with a rheometer.NK-92MI cells were cultured in collagen gels with different levels of stiffness.The morphology of NK-92MI cells was observed by inverted microscope.High content imaging system was used to record the free migration process of NK-92MI cells and analyze the migration speed and distance.NK-92MI cells were cultured with type Ⅰcollagen gels with different levels of stiffness for 24 h and 48 h and,then,co-cultured with human colorectal DLD-1,a human adenocarcinoma epithelial cell line.CCK8 assay was performed to determine the proliferation rate of DLD-1 cells and analyze the cell killing ability of NK-92MI cells.Results Low-stiffness type Ⅰ collagen gel and high-stiffness type Ⅰcollagen gel with the respective stiffness of(10.970±2.10)Pa and(114.50±3.40)Pa were successfully prepared.Compared with those cultured with the low-stiffness type Ⅰ collagen gel,the NK-92MI cells in the high-stiffness type Ⅰ collagen gel showed a more elongated shape(P<0.05),the mean area of the cells was reduced([69.88±26.97]μm2 vs.[46.59±21.62]μm2,P<0.05),the roundness of the cells decreased(0.82±0.12 vs.0.78±0.18,P<0.05),cell migration speed decreased([2.50±0.91]μm/min vs.[1.70±0.72]μm/min,P<0.001)and the migration distance was shortened([147.10±53.74]μm vs.[98.03±40.95]μm,P<0.0001),with all the differences being statistically significant.Compared with those cultured with the low-stiffness type Ⅰ collagen gel,NK-92MI cells cultured with high-stiffness type Ⅰ collagen gel for 24 h could promote DLD-1 cell proliferation,with the proliferation rate being(46.39±12.79)%vs.(65.87±4.45)%(P<0.05)and reduce the cell killing ability.Comparison of the cells cultured for 48 h led to similar results,with the proliferation rates being(31.36±2.88)%vs.(74.57±2.16)%(P<0.05),and the differences were all statistically significant.Conclusion The 3D culture environment of type Ⅰ collagen gels with different levels of stiffness alters the morphology,migration ability,and killing function of NK-92MI cells.This study provides the research basis for exploring and understanding the mechanisms by which the biomechanical microenvironment affects the immune response of NK cells,as well as laying the theoretical foundation for optimizing immunotherapy protocols.