ObjectiveTo detect the metabolites of the serum and joint fluid from rabbits’ osteoarthritis model with 1H nuclear magnetic resonance spectroscopy (NMR) technique, study the metabolic differences and connections of serum, synovial and cartilage of rabbits after the articular cavity injection of sodium hyaluronate, and explore osteoarthritis and metabolic mechanism in the process of treating sodium hyaluronate using sodium hyaluronate, thus provide new ideas and basis of the specific mechanisms in the treatment of osteoarthritis via sodium hyaluronate.MethodsWe selected 30 healthy New Zealand white rabbits, 6 months old, and randomly divided them into three groups as follows: blank control group, model phosphate buffer saline (PBS) liquid injection group and model injection of sodium hyaluronate group, with 10 rabbits in each group. Ten weeks after surgery, all experimental animals were put to death and observed in correlation studies regarding general condition, imaging examination, and histological examination. Metabolites 1H NMR detection and data preprocessing were performed in the serum and joint fluid samples.ResultsThe results considering general condition, general sample observation, imaging examination and histology indicated advantages in sodium hyaluronate group over PBS group. Metabolomics analysis showed statistically significant changes of metabolites in the serum and joint fluid compared with the PBS group and the blank control group (P<0.05). According to the relevant ways of differences metabolites retrieval, analysis found that the effect of sodium hyaluronate on osteoarthritis might be related to protein biosynthesis, amino acid circulation, the metabolic process of pyruvic acid, gluconeogenesis and other metabolic pathways.ConclusionsBased on the research of 1H-NMR metabolomics, the results suggest that the effect of sodium hyaluronate on osteoarthritis is mainly related with the activation of protein metabolism, abnormal lipid and energy metabolic pathways. This study provides new ideas and basis on the concrete mechanism in the treatment of knee osteoarthritis using sodium hyaluronate.
ObjectiveTo construct a multimodal imaging radiomics model based on enhanced CT features to predict tumor regression grade (TRG) in patients with locally advanced rectal cancer (LARC) following neoadjuvant chemoradiotherapy (NCRT). MethodsA retrospective analysis was conducted on the Database from Colorectal Cancer (DACCA) at West China Hospital of Sichuan University, including 199 LARC patients treated from October 2016 to October 2023. All patients underwent total mesorectal excision after NCRT. Clinical pathological information was collected, and radiomics features were extracted from CT images prior to NCRT. Python 3.13.0 was used for feature dimension reduction, and univariate logistic regression (LR) along with Lasso regression with 5-fold cross-validation were applied to select radiomics features. Patients were randomly divided into training and testing sets at a ratio of 7∶3 for machine learning and joint model construction. The model’s performance was evaluated using accuracy, sensitivity, specificity, and the area under the curve (AUC). Receiver operating characteristic curve (ROC), confusion matrices, and clinical decision curves (DCA) were plotted to assess the model’s performance. ResultsAmong the 199 patients, 155 (77.89%) had poor therapeutic outcomes, while 44 (22.11%) had good outcomes. Univariate LR and Lasso regression identified 8 clinical pathological features and 5 radiomic features, including 1 shape feature, 2 first-order statistical features, and 2 texture features. LR, support vector machine (SVM), random forest (RF), and eXtreme gradient boosting (XGBoost) models were established. In the training set, the AUC values of LR, SVM, RF, XGBoost models were 0.99, 0.98, 1.00, and 1.00, respectively, with accuracy rates of 0.94, 0.93, 1.00, and 1.00, sensitivity rates of 0.98, 1.00, 1.00, and 1.00, and specificity rates of 0.80, 0.67, 1.00, and 1.00, respectively. In the testing set, the AUC values of 4 models were 0.97, 0.92, 0.96, and 0.95, with accuracy rates of 0.87, 0.87, 0.88, and 0.90, sensitivity rates of 1.00, 1.00, 1.00, and 0.95, and specificity rates of 0.50, 0.50, 0.56, and 0.75. Among the models, the XGBoost model had the best performance, with the highest accuracy and specificity rates. DCA indicated clinical benefits for all 4 models. ConclusionsThe multimodal imaging radiomics model based on enhanced CT has good clinical application value in predicting the efficacy of NCRT in LARC. It can accurately predict good and poor therapeutic outcomes, providing personalized clinical surgical interventions.
摘要:目的: 金黄色葡萄球菌(金葡菌)的感染近年来已成为医院内的主要致病菌,而其耐药性也呈逐渐升高的趋势,为了解该菌在我院的感染和耐药情况,为临床合理使用抗生素提供科学依据。 方法 : 用经典生理生化鉴定方法,对各种临床标本主要来源于痰液和各种伤口脓液标本分离到的102株金葡菌进行生物学特性及药敏试验。 结果 : 从我们医院2007年5月至2009年8月所分离出来的102株金葡菌中青霉素耐药性8923%,氨苄青霉素耐药率为9385%,没有发现万古霉素耐药菌。 结论 : 除万古霉素外,耐药率较低的依次是利福平、苯唑青霉素、环丙沙星、呋喃妥因、阿米卡星、磺胺甲基异恶唑、红霉素,而青霉素G、氨苄青霉素、四环素耐药性情况非常严重,并且多重耐药,耐药性强,应引起临床的高度重视。Abstract: Objective: To analyze the bionomics and antimicrobial susceptibility of staphylococcus aureus, which was the main pathogenic bacterium with high drug tolerance in our hospital, in order to provide the rational use of antibiotics. Methods : Samples of one hundred and two staphylococcus aureus cases from sputamentum and pus were evaluated by classic physiology and biochemistry methods to test the bionomics and antimicrobial susceptibility. Results : The drug resistance rate to penicillin, penbritin and vancomycin was 8923%, 9385% and 0, separately. Conclusion : Besides vancomycin, the drug resistance rate of rifampicin, oxazocilline, ciprofloxacin, furadantin, amikacin, sulfamethoxazole and sulfamethoxazole increased one by one. The resistance to penicillin G, penbritin and tetracycline was serious, including multidrug resistant, which should be paid highly attention.
Objective To retrospectively compare short-term outcomes and health economics of PHS versus UHS for inguinal hernia repair. Methods We included 105 patients suffering from reducible inguinal hernia hospitalized in the First Affiliated Hospital of Lanzhou University from September, 2007 and September, 2012. The referred hernia types involved direct and indirect hernia (unilateral and bilateral). Based on different repair materials, the patients were divided into two groups, PHS group (n=53) and UHS group (n=52). Outcome parameters for comparison included incidences of seroma and scrotum edema, hospital duration, costs, etc. Results There were no differences in age, sex, hernia type, incidences of seroma and scrotum edema after surgery, hospital duration and costs between the two groups. However, the patients in the PHS group spent less money than those in the UHS group regarding the costs of materials and hospitalization, with significant differences. Conclusion For inguinal hernia repair, PHS and UHS are alike in reducing short-term complications, but PHS can significantly reduce patients’ economic burden due to less costs.
ObjectiveTo explore the possible active mechanism of the basic fibroblast growth factor (bFGF) long circulation l iposome (LCL) (bFGF+LCL) on spinal cord traction injury in rats at the level of proteomics. MethodsTwenty Sprague Dawly rats were randomly divided into groups A and B, 10 rats in each group. The models of spinal cord traction injury was established at T12-L3 spines. The rats were not treated in group A, and the rats were treated with bFGF+LCL (20μg/ kg) in group B. At 3 weeks after operation, the rats were sacrificed for harvesting T13-L2 spinal tissue specimens. The protein was extracted and quantified in the spinal tissue firstly. The proteins from spinal tissue were separated by two-dimensional gel electrophoresis and identified by mass spectrometry. The different expression profiling was established in each group, and the differentially expressed protein was determined by comparing the level of each spot with gel imaging software and manually. The proteins were identified by nano ultra-high performance liquid chromatography-electrospray tandem mass spectrometry (NanoUPLC-ESI-MS/MS), and the proteins were classified. ResultsThe differentially expressed protein spots were found in 2 groups. Compared with group A, 4 spots were up-regulated and 6 were down-regulated in group B. NanoUPLC-ESI-MS/MS results showed that 18 significant proteins were identified in 26 differentially expressed proteins, including 4 apoptosis-related proteins, 3 nerve signal transduction related proteins, 7 proteins involved in metabolism, 1 unknown function protein, and 3 unnamed proteins. ConclusionThe differentially expressed proteins are found in spinal cord traction injury of rats treated with bFGF+LCL. bFGF+LCL can affect the proteins expression in rats with spinal cord traction injury. The possible active mechanism is that it has protective and repair effects on injured spinal cord by nerve signal transduction, and regulation of nerve cells apoptosis and metabolism.
The pathogenesis of diabetic retinopathy (DR) is complicated and has not yet been fully elucidated. To explore the pathogenesis of DR and the mechanism of drug action, proteomics through quantitative analysis techniques is very useful. It can analyzes differentially expressed proteins in the retina, vitreous fluid, aqueous humor, tears, and blood of DR patients and diabetic rats, and analyzes differentially expressed proteins after drug intervention. This paper is a review of the progress in proteomic research of DR in recent years.
The widespread application of low-dose computed tomography (LDCT) has significantly increased the detection of pulmonary small nodules, while accurate prediction of their growth patterns is crucial to avoid overdiagnosis or underdiagnosis. This article reviews recent research advances in predicting pulmonary nodule growth based on CT imaging, with a focus on summarizing key factors influencing nodule growth, such as baseline morphological parameters, dynamic indicators, and clinical characteristics, traditional prediction models (exponential and Gompertzian models), and the applications and limitations of radiomics-based and deep learning models. Although existing studies have achieved certain progress in predicting nodule growth, challenges such as small sample sizes and lack of external validation persist. Future research should prioritize the development of personalized and visualized prediction models integrated with larger-scale datasets to enhance predictive accuracy and clinical applicability.
Objective The article introduces the present status of the application of comparative proteomics in study of tumor marker. Methods This essay review the present status and advances of the application of comparative proteomics in study of tumor marker through refer considerable literatures about proteome, proteomics and tumor marker. Results Follow the study of human genome deepening; the paradox between the finiteness of genes’ number and stability of genes’ structure and the variety of the life phenomena is more conspicuous. Then, the study of proteomics was pushed to the advancing front of life science research. The application of comparative proteomics to tumor research becomes a hot spot nowadays. Conclusion Screening tumor marker via comparative proteomics is an extremely promising research.
Differential diagnosis of benign and malignant ground glass nodule (GGN) is of great significance to the early detection, diagnosis and treatment of lung cancer. Increasing attention has been paid to radiomics technology application in early diagnosis of benign and malignant GGN, which can analyze the characteristic appearances of GGN in non-invasive manner. This article reviews the latest research progress of radiomics in the diagnosis of GGN.
ObjectiveTo systematically review the pharmacoeconomics of high-dose intravenous iron ferric carboxymaltose in the treatment of patients with iron deficiency anemia. MethodsPharmacoeconomic studies of ferric carboxymaltose in the treatment of patients with iron deficiency anemia were searched in PubMed, The Cochrane Library, York University CRD, Web of Science, EBSCO, CNKI, WanFang Data and VIP databases, and relevant health technology assessment websites from inception to September 30th, 2021. A descriptive analysis was performed after two reviewers independently screened the literature, extracted data, and assessed the risk of bias of the included studies. ResultsA total of 11 studies were included, most of them compared the health economics of ferric carboxymaltose with other therapies from a hospital perspective. The main costs included in these studies were costs for iron, infusion, blood transfusion, EPO, hospitalization, and transportation, as well as productivity cost. The ferric carboxymaltose was presumed to be more economical than other intravenous irons. ConclusionIt is suggested that the ferric carboxymaltose be considered in more clinical settings to improve the ischemic condition of patients with iron deficiency anemia, so as to promote the rational utilization of medical resources.