This article presents a case study of a patient who visited the Geriatric Department of Peking Union Medical College Hospital due to "palpitations, shortness of breath for more than 2 years, limb weakness for 6 months, edema, and nocturnal dyspnea for 2 months". The patient exhibited decreased muscle strength in the limbs and involvement of swallowing and respiratory muscles, alongside complications of heart failure and various arrhythmias which were predominantly atrial. Laboratory tests revealed the presence of multiple autoantibodies and notably anti-mitochondrial antibodies. Following a comprehensive multidisciplinary evaluation, the patient was diagnosed with anti-mitochondrial antibody-associated inflammatory myopathy. Treatment involved a combination of glucocorticoids and immunosuppressants, along with resistance exercises for muscle strength and rehabilitation training for lung function, resulting in significant improvement of clinical symptoms. The case underscores the importance of collaborative multidisciplinary approaches in diagnosing and treating rare diseases in elderly patients, where careful consideration of clinical manifestations and subtle abnormal clinical data can lead to effective interventions.

Objective To design and synthesize novel Hsp90 inhibitors with dual functions of synergistically enhancing the antifungal activity of fluconazole （FLC） against drug-resistant fungi and anti-tumor activity based on the Hsp90 inhibitor Ganetespib. Methods The previous research found that Ganetespib had a good synergistic anti-resistant fungal activity with FLC, with a fractional inhibitory concentration index （FICI） of 0.023 to 0.039. In this study, structural modifications were made to Ganetespib by replacing its indole ring with a phenyl ring containing different substituents to design and synthesize a series of new compounds. The in vitro synergistic anti-resistant fungal activity against C. albicans 0304103 in combination with FLC, anti-tumor activity （against HEL, HL60 and A549 cells）, and Hsp90α inhibition activity were determined to explore their structure-activity relationship and mechanism of action. Results The chemical structures of 19 new compounds were confirmed by ¹H NMR, ¹³C NMR and HRMS. Most of the compounds exhibited strong Hsp90α inhibitory activity, good synergistic activity against drug-resistant fungi in combination with FLC and anti-tumor activity. The substitution of electron-donating groups on the benzene ring was beneficial to enhancing the synergistic activity against drug-resistant fungi in combination with FLC. Among them, compounds F3 and F5 showed excellent synergistic activity against drug-resistant fungi in combination with FLC （FICI were both 0.047） and anti-tumor activity （IC₅₀ were 0.025 to 0.15 μmol/L and 0.021 to 0.23 μmol/L respectively）, and could down-regulate the expression levels of drug resistance genes and efflux pump genes in fungi, inhibit the formation of fungal biofilms, and arrest the cell cycle of HEL cells at G0/G1 phase. Conclusion The novel Hsp90 inhibitors such as F3 and F5 could both effectively exert the dual activities of synergizing with FLC to combat drug-resistant fungi and fight against tumors, which provided a new idea for the development of new drugs with dual functions of synergizing with FLC to combat drug-resistant fungi and fight against tumors.

Objective To analyze the epidemiological characteristics and risk factors of chronic kidney disease in patients with 10 years of hypertension. Methods A total of 350 patients with 10 years or longer course of hypertension who underwent physical examination in the Second Affiliated Hospital of Air Force Medical University from June 2021 to June 2024 were selected. General information of the patients was collected through questionnaires. Renal function related indicators and imaging results were obtained through relevant laboratory tests and imaging examinations. Based on the results of renal function related indicators, the epidemiological characteristics of chronic kidney disease in hypertensive patients with 10 years of hypertension, as well as risk factors for chronic kidney disease in the hypertensive patients were identified. Results Among the 350 patients enrolled in this study, there were 71 (20.29%) with proteinuria, 32 (9.14%) with hematuria, and 40 (11.43%) with decreased renal function. A total of 80 (22.86%) cases with structural variations such as kidney stones and cysts were detected by renal B-mode ultrasound. There were 121 (34.57%) patients with hypertension and chronic kidney disease. There were statistically significant differences in gender, age, diabetes, hyperlipidemia and hyperuricemia between patients with chronic kidney disease and those without (P<0.05). Multivariate logistic regression analysis results showed that gender, age, diabetes, hyperlipidemia, and hyperuricemia were the risk factors for chronic kidney disease in patients with hypertension (P<0.05). Conclusion Patients with 10 years of hypertension have a high risk of chronic kidney disease, and the risk factors include gender, age, diabetes, hyperuricemia, and hyperlipidemia.

Objective: To construct a scientific and perfect evaluation index system of infectious disease prevention and control ability in colleges and universities, so as to provide reference tools for colleges and universities to effectively respond to infectious disease. Methods: The initial framework of the evaluation index system of infectious disease prevention and control ability in colleges and universities was constructed by using literature analysis method. Experts familiar with infectious disease prevention and control or school health work were selected to conduct two rounds( n =16，18) of Delphi expert consultation for determining the evaluation index system. Analytical hierarchy process was used to calculate the index weights and combined weights. About 198 prevention and control personnel were conveniently selected from 3 universities in Inner Mongolia Autonomous Region to comprehensively evaluate the evaluation indicators by using fuzzy comprehensive evaluation method. Results: After two rounds of Delphi consultation questionnaire, the effective recovery rates were 80.0% and 90.0%, the expert authority levels were 0.89 and 0.86, the expert harmony coefficients for Kendall W were 0.166 and 0.310, and the variation coefficient of each index was <0.25. Finally, the evaluation index system of infectious disease prevention and control ability of colleges and universities included 4 first level indicators, 14 second level indicators and 75 third level indicators. The weights of prevention and monitoring and early warning, organizational system guarantee, emergency management, rehabilitation and summary were 0.176, 0.476, 0.268 and 0.080, respectively. The top 3 weights of the secondary indexes were 0.623 for infectious disease surveillance and early warning, 0.595 for loss assessment and 0.370 for emergency response. The score of fuzzy comprehensive evaluation of the index system of infectious disease prevention and control ability in colleges and universities was 79.148, suggesting a high level. Conclusion The established evaluation index system of infectious disease prevention and control ability in colleges and universities is scientific and reasonable, which is conducive to provide tool reference for the evaluation of infectious disease prevention and control ability in colleges and universities.

[Objective] To validate and optimize the platelet transfusion refractoriness (PTR) prediction model for patients with hematological disorders established by our center. [Methods] The data of patients with hematological diseases who received platelet transfusions from December 2021 to December 2022 were used as the training set, and data from January 2023 to December 2023 as the validation set. The validation set data was used to validate the predictive model constructed on the training set. Relevant risk factors for PTR were collected through literature review and preliminary studies。 The patients were divided into effective and ineffective groups according to the corrected count increment (CCI) of platelet counts. Predictive factors were screened using univariate and multivariate logistic regression. The calibration of the model were assessed via calibration curves, while discrimination, accuracy, sensitivity, and specificity were evaluated using receiver operating characteristic (ROC) curves Clinical utility was further analyzed with decision curve analysis (DCA). [Results] The Hosmer-Lemeshow (H-L) goodness-of-fit test for the validation set yielded S: P=0.000, indicating that the original model needs optimization. Baseline comparisons and logistic regression identified the number of red blood cell units (RBCU) and platelet units (PLT-U) transfused as key predictors for the optimized model. The H-L goodness-of-fit test S: P values for the training and validation sets were 0.930 and 0.056, respectively; the ROC areas were 0.793 5 and 0.809 4, specificities 90.95% and 84.21%, sensitivities 59.26% and 70.04%, and accuracies 78.14% and 74.10%, respectively. DCA demonstrated clinical net benefit within a prediction probability threshold range of 0.2-0.8. [Conclusion] Transfusion volumes of RBC-U and PLT-U were inversely associated with PTR in hematological patients. The resulting PTR prediction model exhibits moderate predictive efficacy and clinical benefit.

BACKGROUND:Osteoblasts are the main cell types responsible for bone formation and remodeling,and the normal performance of their function is precisely regulated by various signaling pathways.Among them,the bone morphogenetic protein and Wnt signaling pathways play a key role in osteogenesis. OBJECTIVE:To review the role of bone morphogenetic protein/Wnt signaling pathway in the regulation of osteoblast function and analyze its changes in different physiological and pathological conditions in order to further reveal the molecular mechanism of bone formation and remodeling. METHODS:The Chinese and English search terms"BMP signaling pathway,Wnt signaling pathway,and osteogenesis"were searched in CNKI,Wanfang,and PubMed databases for original researches published from the inception to June 2023.Totally 61 articles were finally selected for analysis and summary.Using the method of the literature review,the studies of the bone morphogenetic protein/Wnt signaling pathway in regulating osteogenesis were sorted out and analyzed. RESULTS AND CONCLUSION:(1)Bone morphogenetic protein and Wnt signaling pathways play important roles in the differentiation,proliferation,and maturation of osteoblasts.Bone morphogenetic protein signaling pathway mainly regulates the expression of osteogenesis-related genes through the activation of Smad protein.Smad protein enters the nucleus and regulates the expression of genes related to osteogenesis.Different Wnt signaling pathway from bone morphogenetic protein mainly depends on the activation of β-catenin to exert its biological effects.(2)The regulatory effect of bone morphogenetic protein/Wnt signaling pathway will be affected by many factors in different physiological and pathological states.Growth factors,hormones,and mechanical stress can affect the activity of bone morphogenetic protein/Wnt signaling pathway to some extent.(3)Bone morphogenetic protein/Wnt signaling pathway interacts with other signaling pathways in the regulation of osteogenesis,and they together constitute a complex regulatory network.(4)Chinese medicine and natural compounds can promote bone health by regulating signaling pathways,providing new possibilities for treating bone diseases.(5)Future studies can further explore the interaction of bone morphogenetic protein/Wnt signaling pathway and other signaling pathways and its changes in different physiological and pathological conditions,resolve the key nodes and regulation mechanism in the complex network,to provide more precise targets for the treatment of bone-related diseases,and also provide new ideas to reveal the molecular mechanism of bone formation and remodeling.

BACKGROUND:Degenerative scoliosis is defined as a condition that occurs in adulthood with a coronal cobb angle of the spine>10° accompanied by sagittal deformity and rotational subluxation,which often produces symptoms of spinal cord and nerve compression,such as lumbar pain,lower limb pain,numbness,weakness,and neurogenic claudication.The finite element method is a mechanical analysis technique for computer modelling,which can be used for spinal mechanics research by building digital models that can realistically restore the human spine model and design modifications. OBJECTIVE:To review the application of finite element method in the etiology and treatment of degenerative scoliosis. METHODS:The literature databases CNKI,PubMed,and Web of Science were searched for articles on the application of finite element method in degenerative scoliosis published before October 2023.Search terms were"finite element analysis,biomechanics,stress analysis,degenerative scoliosis,adult spinal deformity"in Chinese and English.Fifty-four papers were finally included. RESULTS AND CONCLUSION:(1)The biomechanical findings from the degenerative scoliosis model constructed using the finite element method were identical to those from the in vivo experimental studies,which proves that the finite element method has a high practical value in degenerative scoliosis.(2)The study of the etiology and treatment of degenerative scoliosis by the finite element method is conducive to the prevention of the occurrence of the scoliosis,slowing down the progress of the scoliosis,the development of a more appropriate treatment plan,the reduction of complications,and the promotion of the patients'surgical operation.(3)The finite element method has gradually evolved from a single bony structure to the inclusion of soft tissues such as muscle ligaments,and the small sample content is increasingly unable to meet the research needs.(4)The finite element method has much room for exploration in degenerative scoliosis.

In recent years， the number of special clinical cases related to assisted reproductive technology （ART） for pregnancy has been on the rise annually. For example， gamete donation， assisted reproduction for couples of advanced maternal ages， and the ownership and disposition of embryos when one or both partners pass away， all involve the health of offspring and conflicts of interest in the implementation of ART. Although China’s ethical principles for ART include the protection of the offspring， the detailed rules are vague and urgently need to be supplemented and improved. In addition， the clinical application of ART lacks legislative collaborative governance. The corresponding administrative departments， practitioners， and infertile couples should work together. Starting from the perspective of focusing on the well-being of offspring born from the clinical application of ART， while conducting clinical research to address technical challenges， efforts should be made to overcome ethical dilemmas in the application of technology， comprehensively consider the well-being of offspring born from assisted reproductive treatments and help them seek the best care to promote their healthy growth.

Objective To evaluate the efficiency of intra-tumor and peri-tumor ultrasound radiomics models based on machine learning algorithms for predicting benign and malignant Breast Imaging Reporting and Data System (BI-RADS) 4 breast lesions, and provide insights into early diagnosis of breast cancer. Methods A retrospective analysis was conducted based on the medical records of 450 female patients who underwent breast ultrasound examination in the Affiliated Cancer Hospital of Xinjiang Medical University from June 2020 to April 2022. The patients were divided into the benign (n = 199) and malignant (n = 195) groups according to pathological examination, and randomized into the training (n = 275) and validation (n = 119) sets at a ratio of 7∶3. Radiomics features were extracted and screened. Intra-tumor, peri-tumor, and intra-tumor + peri-tumor ultrasound radiomics models were constructed based on three machine learning algorithms, including logistic regression (LR), support vector machine (SVM), and multi-layer perceptron (MLP). Receiver operating characteristics (ROC) curves, calibration curves, and decision curves were plotted to evaluate the efficacy of the radiomics models for prediction of benign and malignant breast lesions. Results A total of 17 intra-tumor, 16 peri-tumor, and 17 intra-tumor + peri-tumor radiomics features were selected for model construction. Based on LR, MLP, and SVM algorithms, the intra-tumor + peri-tumor radiomics models showed higher predictive efficacy than intra-tumor and peri-tumor radiomics models. The predictive efficacy of intra-tumor, peri-tumor, and intra-tumor + peri-tumor radiomics models were higher based on the SVM algorithm than based on LR and MLP algorithms. For the intra-tumor radiomics model based on the SVM algorithm, the area under the ROC curve (AUC), accuracy, sensitivity, and a specificity were 0.909, 0.851, 0.860, and 0.842, respectively, in the training set and 0.866, 0.832, 0.847, and 0.817, respectively, in the validation set. For the peri-tumor radiomics model based on the SVM algorithm, these values were 0.899, 0.855, 0.882, and 0.827, respectively, in the training set and 0.844, 0.815, 0.847, and 0.783, respectively, in the validation set. For the intra-tumor + peri-tumor radiomics model based on the SVM algorithm, these values were 0.943, 0.876, 0.860, and 0.892, respectively, in the training set and 0.881, 0.849, 0.915, and 0.783, respectively, in the validation set. Conclusion The intra-tumor and peri-tumor ultrasound radiomics models based on machine learning algorithms are highly valuable for prediction of benign and malignant BI-RADS 4 breast lesions. The intra-tumor + peri-tumor ultrasound radiomics model based on the SVM algorithm has the optimal efficacy for prediction of benign and malignant BI-RADS 4 breast lesions.

Background: and Purpose Limited evidence exists on the effectiveness of endovascular treatment (EVT) for acute posterior circulation tandem lesion (PCTL). This study aimed to explore the role of extracranial vertebral artery (VA) stenting in patients with PCTL stroke undergoing EVT. Methods: Individual patient data were pooled from the BASILAR (EVT for Acute Basilar Artery Occlusion Study) and PERSIST (Posterior Circulation Ischemic Stroke) registries. Patients with PCTLs who underwent EVT were included in the present cohort and divided into the stenting and nonstenting groups based on the placement of extracranial VA stents. The primary efficacy outcome was the modified Rankin Scale (mRS) scores at 90 days and 1 year. Safety outcomes included 24-hour symptomatic intracranial hemorrhage (sICH) and all-cause mortality at 90 days and 1 year post-surgery. Results: A combined dataset of 1,320 patients with posterior circulation artery occlusion, including 263 (19.9%) with tandem lesions, of whom 217 (median age, 65 years; 82.9% male) met the inclusion criteria for the analysis. The stenting group had 84 (38.7%) patients, while the non-stenting group had 133 (61.3%). After adjustment for the potential confounders, extracranial VA stenting was associated with favorable shifts in mRS scores at both 90 days (adjusted common odds ratio [OR], 2.30; 95% confidence interval [CI], 1.23–4.28; P<0.01) and 1 year (adjusted OR [aOR], 2.04; 95% CI [1.05–3.97]; P=0.04), along with lower rate of mortality at both 90 days (aOR, 0.45; 95% CI [0.21–0.93]; P=0.01) and 1 year (aOR, 0.36; 95% CI [0.16–0.79]; P=0.01), with no significant difference in sICH incidence (aOR, 0.35; 95% CI [0.06–1.98]; P=0.24). Conclusion Extracranial VA stenting during EVT may improve functional outcomes and reduce mortality in patients with PCTL strokes.