Chronic heart failure （CHF） is a group of complex clinical syndromes caused by abnormal changes in the structure and/or function of the heart due to various reasons， resulting in disorders of ventricular contraction and/or diastole. CHF is a condition where primary diseases such as coronary heart disease， hypertension and pulmonary heart disease recur frequently and persist for a long time， presenting blood stasis in meridians and collaterals， stagnation of water and dampness， and accumulation of Qi in collaterals. Its pathogenesis is complex and may involve myocardial energy metabolism disorders， oxidative stress responses， myocardial cell apoptosis， autophagy， inflammatory responses， etc. According to the theory of restraining hyperactivity to acquire harmony， we believe that under normal circumstances， the adenosine monophosphate-activated protein kinase （AMPK） signaling pathway functions normally， maintaining human physiological activities and energy metabolism. Under pathological conditions， the AMPK signaling pathway is abnormal， causing energy metabolism disorders， inflammatory responses， and myocardial fibrosis. Traditional Chinese medicine （TCM） can regulate the AMPK signaling pathway through multiple mechanisms， targets， and effects， effectively curbing the occurrence and development of CHF. It has gradually become a research hotspot in the prevention and treatment of this disease. Guided by the theory of TCM， our research group， through literature review， summarized the relationship between the AMPK pathway and CHF and reviewed the research progress in the prevention and control of CHF with TCM active ingredients， TCM compound prescriptions， and Chinese patent medicines via regulating the AMPK pathway. The review aims to clarify the mechanism and targets of TCM in the treatment of CHF by regulating the AMPK pathway and guide the clinical treatment and drug development for CHF.

Chronic atrophic gastritis(CAG)is a common clinical digestive system disease and is responding specially to traditional Chinese medicine(TCM).Following Li Gao's elaborated theory of Zangqi Fashi(visceral qi being corresponding to the four seasons and five elements),this article proposed that the differentiation and treatment for CAG should be focused on middle jiao(spleen and stomach).Based on the connection between the qi movement of spleen-stomach and the yin-yang changes of the four seasons in nature,the etiology,pathogenesis,and treatment of CAG were analyzed.It is proposed that spleen-stomach deficiency is the root cause of CAG,and the internal generation of yin-fire is an important pathological state of CAG.The primary treatment principle for CAG is to tonify the spleen and stomach,and to subside yin fire.In clinical treatment of CAG,the formulation of the prescriptions for tonifying or purging should be based on the properties and flavors of herbal medicines,and then the ascending and descending of qi movement in the human body are normalized,and the exiting and entering of qi movement are in order.In addition to medicinal treatment,dietary regulation is also emphasized for the prevention and treatment of CAG.

Objective: To investigate the distribution of HPA, HLA alleles and haplotypes among apheresis platelet donors in Changsha, China, and to establish an apheresis platelet donor database. Methods: High-resolution genotyping of HLA-A and -B was performed using PCR sequence based typing (SBT) and next generation sequencing (NGS). HPA genotyping was conducted using quantitative PCR (Q-PCR). The allele frequency, haplotype frequency and linkage disequilibrium parameters were calculated using the direct counting method, the maximum likelihood method and Arlequin software (V 3.1). Results: A total of 41 HLA-A alleles and 82 HLA-B alleles were detected, and 457 HLA-A-B haplotypes were found, of which 25 showed strong linkage disequilibrium (RLD>0.50). The HPA-3 and HPA-15 had the highest HPA polymorphism and antigen mismatch rate in apheresis platelet donor database in Changsha, and the dual antigen mismatch rate was 0.3704 and 0.3743, respectively. Conclusion: The polymorphism of apheresis platelet donor database in Changsha is complex and has strong regional characteristics. Establishing a high-resolution donor database will strongly support the provision of genetically matched platelets for clinical use, facilitating precise platelet transfusion therapy.

Objective To investigate the effect of DEAD-box RNA helicases(DDX5 helicase)on the proliferation,apoptosis and differentiation of leukemia cell line K562 cells.Methods Data from the Gene Expression Profiling Interactive Analysis(GEPIA)cancer gene database was utilized to analyze the expression of DDX5 mRNA in tis-sues of leukemia patients.Survival curve analysis was conducted to assess the relationship between DDX5 mRNA expression levels and the prognosis of leukemia patients.Small interfering RNA(siRNA)was used for transient transfection of K562 cells to knock down DDX5.Real-time quantitative PCR(RT-PCR)was employed to verify the silencing effect,and Western blot was used to detect protein expression levels.CCK-8 assay was conducted to ex-amine cell proliferation capability,and Western blot and immunofluorescence were utilized to detect the expression levels of cell proliferation-related proteins.Flow cytometry was used to detect cell apoptosis,and the expression lev-els of cell differentiation-related proteins were assessed by flow cytometry and Western blot.Lastly,the effects of DDX5 silencing on the expression levels of P21 and P53 proteins were examined by RT-PCR and Western blot.Re-sults GEPIA database analysis revealed that the expression level of DDX5 in human leukemia bone marrow tissues was significantly higher than that in healthy individuals,and patients with low DDX5 expression had longer survival time.In vitro experiments demonstrated that knocking down DDX5 significantly inhibited the proliferation of K562 cells.Flow cytometry results indicated that DDX5 silencing promoted apoptosis and induced cell differentiation by enhancing the expression of CD11b and CD14 proteins.Furthermore,silencing DDX5 up-regulated the expression levels of P21 and P53 proteins.Conclusion DDX5 may potentially inhibit the proliferation of leukemia cell line K562,promote apoptosis,and induce differentiation by targeting P53.

Objective:To compare the diagnostic efficacy of ultrasound and MRI in fibro-adipose vascular anomaly (FAVA).Methods:The clinical data of patients with suspected FAVA who underwent ultrasound and MRI examinations at Henan Provincial People’s Hospital from January 2011 to October 2021 were retrospectively analyzed. The imaging findings from ultrasound and MRI were analyzed, and then compared with the pathological findings. To evaluate the diagnostic efficacy of ultrasound and MRI in diagnosing FAVA by assessing sensitivity, specificity, positive predictive value, negative predictive value, and coincidence rate. Paired χ2 test (McNemar test) was used to compare the coincidence rate of ultrasound and MRI, as well as their combined diagnosis. A significance level of P < 0.05 was considered statistically significant. Results:A total of 50 patients were included in the study, comprising 24 males and 26 females, with their ages ranging from 1 to 50 years and an average age of (16.2 ± 10.5) years. Pathology confirmed 43 FAVA patients and 7 non-FAVA patients. The sensitivity, specificity, positive predictive value, negative predictive value, and coincidence rate of ultrasound in the diagnosis of FAVA were 83.7%, 71.4%, 94.7%, 41.7%, and 82.0%, respectively. The sensitivity, specificity, positive predictive value, negative predictive value, and coincidence rate of MRI in the diagnosis of FAVA were 69.8%, 85.7%, 96.8%, 31.6%, and 72.0%, respectively. The sensitivity, specificity, positive predictive value, negative predictive value, and coincidence rate of FAVA were 90.7%, 71.4%, 95.1%, 55.6%, and 88.0%, respectively. The diagnostic accuracy of ultrasound was higher than that of MRI, but the difference was not statistically significant ( χ2 = 1.41, P = 0.235). The coincidence rate of combined diagnosis was higher than that of ultrasound ( χ2= 0.71, P = 0.401) and MRI ( χ2= 4.00, P = 0.039), with a statistically significant difference. Conclusion:Both ultrasound and MRI are highly valuable in diagnosing FAVA. The combined usage of ultrasound and MRI can enhance the accuracy of preoperative FAVA diagnosis.

OBJECTIVE To screen potential adverse drug event （ADE） signals for the treatment of multiple sclerosis （MS） with ofatumumab， and to provide reference for the safe use of drugs in clinical practice. METHODS Using “ofatumumab” and the trade name “Kesimpta” as the search keywords， adverse event （AE） reports related to ofatumumab included in FDA Adverse Event Reporting System database from January 2009 to December 2023 were screened， and their reason contained the “multiple sclerosis”； ADE signal mining and analysis were conducted by reporting odds ratio method and proportional reporting ratio method. RESULTS A total of 21 759 eligible AE reports were selected， involving 62 449 AE cases； 27 system organ classes included general diseases and various reactions at the site of administration （15 021 cases）， neurological diseases （9 668 cases）， infectious and invasive diseases （5 967 cases）， injury， poisoning and surgical complications （4 952 cases）， musculoskeletal and connective tissue disorders （4 647 cases）. A total of 21 759 AE reports correspond to 606 ADE signals， including 234 ADE positive signals. A total of 107 ADE positive signals were not included in drug instruction of ofatumumab， including flu-like diseases， nasopharyngitis， cough， urinary tract infection， sore throat， insomnia， runny nose， anemia， hair loss， atrial fibrillation， and thrombocytopenia， etc. CONCLUSIONS In the process of using ofatumumab for MS， sufficient attention should be paid to ADE included in drug instructions. The ADE with strong signal strength screened in this study should also be paid special attention to， such as flu-like diseases， hemocytopenia， temperature intolerance， optic neuritis， and moyamoya disease. The increased risk of infection， cardiovascular disease， and potential damage to the respiratory and spiritual systems caused by ofatumumab can not be ignored.

Objective:To compare the diagnostic efficacy of ultrasound and MRI in fibro-adipose vascular anomaly (FAVA).Methods:The clinical data of patients with suspected FAVA who underwent ultrasound and MRI examinations at Henan Provincial People’s Hospital from January 2011 to October 2021 were retrospectively analyzed. The imaging findings from ultrasound and MRI were analyzed, and then compared with the pathological findings. To evaluate the diagnostic efficacy of ultrasound and MRI in diagnosing FAVA by assessing sensitivity, specificity, positive predictive value, negative predictive value, and coincidence rate. Paired χ2 test (McNemar test) was used to compare the coincidence rate of ultrasound and MRI, as well as their combined diagnosis. A significance level of P < 0.05 was considered statistically significant. Results:A total of 50 patients were included in the study, comprising 24 males and 26 females, with their ages ranging from 1 to 50 years and an average age of (16.2 ± 10.5) years. Pathology confirmed 43 FAVA patients and 7 non-FAVA patients. The sensitivity, specificity, positive predictive value, negative predictive value, and coincidence rate of ultrasound in the diagnosis of FAVA were 83.7%, 71.4%, 94.7%, 41.7%, and 82.0%, respectively. The sensitivity, specificity, positive predictive value, negative predictive value, and coincidence rate of MRI in the diagnosis of FAVA were 69.8%, 85.7%, 96.8%, 31.6%, and 72.0%, respectively. The sensitivity, specificity, positive predictive value, negative predictive value, and coincidence rate of FAVA were 90.7%, 71.4%, 95.1%, 55.6%, and 88.0%, respectively. The diagnostic accuracy of ultrasound was higher than that of MRI, but the difference was not statistically significant ( χ2 = 1.41, P = 0.235). The coincidence rate of combined diagnosis was higher than that of ultrasound ( χ2= 0.71, P = 0.401) and MRI ( χ2= 4.00, P = 0.039), with a statistically significant difference. Conclusion:Both ultrasound and MRI are highly valuable in diagnosing FAVA. The combined usage of ultrasound and MRI can enhance the accuracy of preoperative FAVA diagnosis.

Purpose: The poor retention and ambiguous differentiation of stem cells (SCs) within corpus cavernosum (CC) limit the cell application in erectile dysfunction (ED). Herein, the effects and mechanism of microRNA-145 (miR-145) gene modification on modulating the traits and fate of bone marrow-derived mesenchymal stem cells (BMSCs) were investigated. Materials and Methods: The effects of miR-145 on cell apoptosis, proliferation, migration, and differentiation were determined by flow cytometry, cell counting kit-8, transwell assays and myogenic induction. Then, the age-related ED rats were recruited to four groups including phosphate buffer saline, BMSC, vector-BMSC, overexpressed-miR-145-BMSC groups. After cell transplantation, the CC were harvested and prepared to demonstrate the retention and differentiation of BMSCs by immunofluorescent staining. Then, the target of miR-145 was verified by quantitative real-time polymerase chain reaction and immunohistochemical. After that, APTO-253, as an inducer of Krüppel-like factor 4 (KLF4), was introduced for rescue experiments in corpus cavernosum smooth muscle cells (CCSMCs) under the co-culture system. Results: In vitro, miR-145 inhibited the migration and apoptosis of BMSCs and promoted the differentiation of BMSCs into smooth muscle-like cells with stronger contractility. In vivo, the amount of 5-ethynyl-2′-deoxyuridine (EdU)+cells within CC was significantly enhanced and maintained in the miR-145 gene modified BMSC group. The EdU/CD31 co-staning was detected, however, no co-staining of EdU/α-actin was observed. Furthermore, miR-145, which secreted from the gene modified BMSCs, dampened the expression of KLF4. However, the effects of miR-145 on CCSMCs could be rescued by APTO-253. Conclusions Overall, miR-145 modification prolongs the retention of the transplanted BMSCs within the CC, and this effect might be attributed to the modulation of the miR-145/KLF4 axis. Consequently, our findings offer a promising and innovative strategy to enhance the local stem cell-based treatments.

Objective·To construct a cervical vertebra image segmentation model by using a diffusion model with the Transformer deep learning algorithm,and evaluate its segmentation performance,to address the clinical challenge of accurately assessing complex changes in skeletal morphology during the growth and developmental peaks of malocclusion.Methods·Accurate cervical vertebra segmentation was performed on cephalometric radiographs from 185 orthodontic patients(44 cases from the Stomatological Hospital of Chongqing Medical University and 141 cases from the Stomatological Hospital of Xi'an Jiaotong University)by using a method combining Transformer and diffusion models.First,the images were preprocessed to crop out the cervical vertebra region of interest,and all data were randomly divided into a training set(79.6%)and a test set(20.4%).The diffusion model and a conditional model based on U-Net were utilized for feature extraction,with a Transformer module introduced to learn the interaction between noise and semantic features.Multi-scale images were fused to enhance fine structure and boundary texture features in low-contrast images.The proposed method was compared with U-Net and SOLOv2 methods.The segmentation performance was quantitatively evaluated by two metrics,Dice Similarity Coefficient(DSC)and Intersection over Union(IoU),and also qualitatively assessed through physicians'manual annotations and model visualization results.Results·The cervical vertebra segmentation method based on Transformer and diffusion models achieved DSC and IoU scores of 93.3%and 87.5%,respectively,significantly outperforming the U-Net and SOLOv2 methods(with improvements of 3.0%and 4.1%in DSC,and 5.2%and 7.1%in loU,respectively).Despite the longer processing time for a single image,segmentation accuracy was significantly improved.Compared with U-Net and SOLOv2,the proposed method also showed higher stability and robustness in processing complex,low-contrast and blurred-boundary images,and was able to accurately segment the cervical vertebrae with clear boundaries and complete structures.Conclusion·The Transformer-based diffusion model for cervical vertebra segmentation can enhance the edge and texture features in cervical vertebra images and recognize the boundaries of different vertebrae more easily.Thus,automatic,accurate,and robust cervical vertebra segmentation results are achieved,which can assist in cervical vertebral maturation analysis.

Objective·To construct a cervical vertebra image segmentation model by using a diffusion model with the Transformer deep learning algorithm,and evaluate its segmentation performance,to address the clinical challenge of accurately assessing complex changes in skeletal morphology during the growth and developmental peaks of malocclusion.Methods·Accurate cervical vertebra segmentation was performed on cephalometric radiographs from 185 orthodontic patients(44 cases from the Stomatological Hospital of Chongqing Medical University and 141 cases from the Stomatological Hospital of Xi'an Jiaotong University)by using a method combining Transformer and diffusion models.First,the images were preprocessed to crop out the cervical vertebra region of interest,and all data were randomly divided into a training set(79.6%)and a test set(20.4%).The diffusion model and a conditional model based on U-Net were utilized for feature extraction,with a Transformer module introduced to learn the interaction between noise and semantic features.Multi-scale images were fused to enhance fine structure and boundary texture features in low-contrast images.The proposed method was compared with U-Net and SOLOv2 methods.The segmentation performance was quantitatively evaluated by two metrics,Dice Similarity Coefficient(DSC)and Intersection over Union(IoU),and also qualitatively assessed through physicians'manual annotations and model visualization results.Results·The cervical vertebra segmentation method based on Transformer and diffusion models achieved DSC and IoU scores of 93.3%and 87.5%,respectively,significantly outperforming the U-Net and SOLOv2 methods(with improvements of 3.0%and 4.1%in DSC,and 5.2%and 7.1%in loU,respectively).Despite the longer processing time for a single image,segmentation accuracy was significantly improved.Compared with U-Net and SOLOv2,the proposed method also showed higher stability and robustness in processing complex,low-contrast and blurred-boundary images,and was able to accurately segment the cervical vertebrae with clear boundaries and complete structures.Conclusion·The Transformer-based diffusion model for cervical vertebra segmentation can enhance the edge and texture features in cervical vertebra images and recognize the boundaries of different vertebrae more easily.Thus,automatic,accurate,and robust cervical vertebra segmentation results are achieved,which can assist in cervical vertebral maturation analysis.