Objective To investigate the prognosis and its influencing factors in patients with hypertension complicated with heart failure (HF). Methods A total of 381 patients with hypertension and HF who were treated in our hospital from March 2022 to April 2025 were chosen. The patients were followed up for the prognosis within 6 months and split into good prognosis group (n=266) and poor prognosis group (n=115). The clinical data of the two groups were compared and analyzed. Multivariate Logistic regression analysis was used to determine the influencing factors of poor prognosis. Results The group with poor prognosis had higher proportions of atrial fibrillation and New York Heart Association (NYHA) Class III-IV, as well as increased left ventricular end-diastolic diameter (LVED), left ventricular end-systolic diameter (LVES), interventricular septum thickness (IVS), and left ventricular posterior wall thickness (LVPW) compared to the group with good prognosis (P<0.05). Additionally, levels of systolic blood pressure (SBP), N-terminal pro-B-type natriuretic peptide (NT-proBNP), total cholesterol (TC), low-density lipoprotein (LDL), creatinine (Cr) were elevated (P<0.05), while left ventricular ejection fraction (LVEF) was decreased (P<0.05). NYHA classification, LVEF, LVED, LVPW, NT-proBNP were independent influencing factors of poor prognosis in patients with hypertension complicated with HF (P<0.05). Conclusion NYHA classification, LVEF, LVED, LVPW and NT-proBNP are closely related to the poor prognosis of patients with hypertension and HF.

The incidence of malignant tumors among elderly patients is increasing.Influenced by multiple factors such as aging,tumor,and drug,this population exhibits a high prevalence of renal insufficiency.However,there remains a scarcity of research data and significant challenges in clinical management.This article systematically an-alyzes the challenges faced in administering anti-tumor therapies to elderly patients with renal insufficiency and pro-poses management strategies.Optimization approaches include precise assessment of renal function,selection of nephrotoxicity-sparing medications,appropriate dose adjustments,implementation of preventive measures,and em-phasis on comprehensive geriatric assessment and multidisciplinary collaboration.Renal injury management should be individualized,with considerations for special populations such as renal transplant recipients and dialysis pa-tients.Future efforts should focus on biomarker discovery and the development of low-nephrotoxicity therapeutic agents to address these complex clinical challenges.

The Janus kinase/signal transducers and activators of transcription (JAK-STAT) control natural killer (NK) cells development and cytotoxic functions, however, whether long non-coding RNAs (lncRNAs) are involved in this pathway remains unknown. We found that miR155HG was elevated in activated NK cells and promoted their proliferation and effector functions in both NK92 and induced-pluripotent stem cells (iPSCs)-derived NK (iPSC-NK) cells, without reliance on its derived miR-155 and micropeptide P155. Mechanistically, miR155HG bound to miR-6756 and relieved its repression of JAK3 expression, thereby promoting the JAK-STAT pathway and enhancing NK cell proliferation and function. Further investigations disclosed that upon cytokine stimulation, STAT3 directly interacts with miR155HG promoter and induces miR155HG transcription. Collectively, we identify a miR155HG-mediated positive feedback loop of the JAK-STAT signaling. Our study will also provide a power target regarding miR155HG for improving NK cell generation and effector function in the field of NK cell adoptive transfer therapy against cancer, especially iPSC-derived NK cells.

Quality control of pediatric musculoskeletal ultrasound(MSKUS)must be integrated throughout the entire diagnostic process.Its core lies in a thorough understanding of the growth,development,and pathophysiological characteristics of the pediatric musculoskeletal system,mastery of MSKUS examination techniques,and the establishment of a systematic and comprehensive diagnostic framework.This review focuses on the core aspects of pre-examination,during examination,and post-examination to describe the quality control points and strategies for pediatric MSKUS.

Objective:To analyze the epidemiological and clinical characteristics of respiratory pathogens in China.Methods:This study was a cross-sectional study, which encompassed 19 core units of the clinical pathogen network and established a three-tiered clinical pathogen surveillance system. Thirty respiratory samples were collected every two weeks from various units from January to December 2024, and the clinical and pathogen diagnostic information were gathered. A total of 11 864 samples were tested using this system. The tier-1 clinical pathogen surveillance system covered influenza A virus (Flu-A), influenza B virus (Flu-B), respiratory syncytial virus (RSV), and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The tier-2 clinical pathogen surveillance system focused on 18 key respiratory pathogens. The tier-3 clinical pathogen surveillance system further clarified whether any emerging infectious diseases had occurred.Results:The tier-1 clinical pathogen surveillance system showed Flu-A predominated in December, Flu-B predominated in January, SARS-CoV-2 peaked in March and August, whereas RSV circulated sporadically throughout the year. Geographic trends were broadly consistent across the seven major regions, although Flu-A detection in December was notably higher in Northeast China (48.1%(111/231)) and East China (36.2%(148/409)), and RSV detection was concentrated in the Northwest and South China from January to March. Data from the tier-2 clinical pathogen surveillance system indicated that Streptococcus pneumoniae, Mycoplasma pneumoniae, rhinovirus, and adenovirus were detected year-round, of these, Streptococcus pneumoniae and rhinovirus showed elevated positive detection rates from August to September, while adenovirus peaked in January. Legionella pneumophila was not detected throughout the year, and other pathogens fluctuated throughout the year without a consistent pattern. The predominant etiologic agents of pediatric pneumonia were Mycoplasma pneumoniae (35.0%(105/300)), rhinovirus (25.7%(77/300)), and adenovirus (17.3%(52/300)), whereas adult pneumonia was mainly caused by Streptococcus pneumoniae (10.5%(29/277)), Staphylococcus aureus (6.9%(19/277)), Mycoplasma pneumoniae (6.9%(19/277)), and Flu-A (6.1%(17/277)). The tier-3 clinical pathogen surveillance system did not identify any emerging respiratory pathogens. Conclusion:Respiratory pathogens in China in 2024 exhibit distinct temporal and spatial distribution patterns and vary among different populations.

Objective The aim of this study was to explore the effects of changes in the estrogen receptor alpha 36(ER-α36)expression on the proliferation and membrane-initiated estrogen signaling in glioblastoma U251 cells.Methods The expression and localization of ER-α36 and EGFR glioblastoma U87 cells and U251 cells were determined by immunofluorescence,qRT-PCR and Western blot.The effect of upregulating ER-α 36 on U251 cell proliferation and estrogen signaling pathway activity by low con-centrations of 100 pmol/L icariin isomer(SNG162)was detected by MTT assay and Western blot.Results ER-α36 and EGFR were co-expressed in the cell membrane of glioblastoma.Compared with DMSO(control group),the expression ER-α36(P<0.01)and EG-FR increased in U251 cells treated with SNG162(P<0.05);Further experments also found that low concentrations of SNG162 in-creased the expression of cycle related proteins-cyclin D1,cyclin B,cyclin E and CDK4(P<0.01),and enhanced the proliferative a-bility of U251 cells(P<0.05).Conclusion The low concentration of SNG162 upregulates the expression of ER-α36,activates the estrogen-mediated ERK1/2 MAPK,p38 MAPK,and EGFR/Src signaling pathways,promotes glioblastoma proliferation,and activates the membrane initialized estrogen signaling pathway.

Objective The aim of this study was to explore the effects of changes in the estrogen receptor alpha 36(ER-α36)expression on the proliferation and membrane-initiated estrogen signaling in glioblastoma U251 cells.Methods The expression and localization of ER-α36 and EGFR glioblastoma U87 cells and U251 cells were determined by immunofluorescence,qRT-PCR and Western blot.The effect of upregulating ER-α 36 on U251 cell proliferation and estrogen signaling pathway activity by low con-centrations of 100 pmol/L icariin isomer(SNG162)was detected by MTT assay and Western blot.Results ER-α36 and EGFR were co-expressed in the cell membrane of glioblastoma.Compared with DMSO(control group),the expression ER-α36(P<0.01)and EG-FR increased in U251 cells treated with SNG162(P<0.05);Further experments also found that low concentrations of SNG162 in-creased the expression of cycle related proteins-cyclin D1,cyclin B,cyclin E and CDK4(P<0.01),and enhanced the proliferative a-bility of U251 cells(P<0.05).Conclusion The low concentration of SNG162 upregulates the expression of ER-α36,activates the estrogen-mediated ERK1/2 MAPK,p38 MAPK,and EGFR/Src signaling pathways,promotes glioblastoma proliferation,and activates the membrane initialized estrogen signaling pathway.

Quality control of pediatric musculoskeletal ultrasound(MSKUS)must be integrated throughout the entire diagnostic process.Its core lies in a thorough understanding of the growth,development,and pathophysiological characteristics of the pediatric musculoskeletal system,mastery of MSKUS examination techniques,and the establishment of a systematic and comprehensive diagnostic framework.This review focuses on the core aspects of pre-examination,during examination,and post-examination to describe the quality control points and strategies for pediatric MSKUS.

Objective:To analyze the epidemiological and clinical characteristics of respiratory pathogens in China.Methods:This study was a cross-sectional study, which encompassed 19 core units of the clinical pathogen network and established a three-tiered clinical pathogen surveillance system. Thirty respiratory samples were collected every two weeks from various units from January to December 2024, and the clinical and pathogen diagnostic information were gathered. A total of 11 864 samples were tested using this system. The tier-1 clinical pathogen surveillance system covered influenza A virus (Flu-A), influenza B virus (Flu-B), respiratory syncytial virus (RSV), and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The tier-2 clinical pathogen surveillance system focused on 18 key respiratory pathogens. The tier-3 clinical pathogen surveillance system further clarified whether any emerging infectious diseases had occurred.Results:The tier-1 clinical pathogen surveillance system showed Flu-A predominated in December, Flu-B predominated in January, SARS-CoV-2 peaked in March and August, whereas RSV circulated sporadically throughout the year. Geographic trends were broadly consistent across the seven major regions, although Flu-A detection in December was notably higher in Northeast China (48.1%(111/231)) and East China (36.2%(148/409)), and RSV detection was concentrated in the Northwest and South China from January to March. Data from the tier-2 clinical pathogen surveillance system indicated that Streptococcus pneumoniae, Mycoplasma pneumoniae, rhinovirus, and adenovirus were detected year-round, of these, Streptococcus pneumoniae and rhinovirus showed elevated positive detection rates from August to September, while adenovirus peaked in January. Legionella pneumophila was not detected throughout the year, and other pathogens fluctuated throughout the year without a consistent pattern. The predominant etiologic agents of pediatric pneumonia were Mycoplasma pneumoniae (35.0%(105/300)), rhinovirus (25.7%(77/300)), and adenovirus (17.3%(52/300)), whereas adult pneumonia was mainly caused by Streptococcus pneumoniae (10.5%(29/277)), Staphylococcus aureus (6.9%(19/277)), Mycoplasma pneumoniae (6.9%(19/277)), and Flu-A (6.1%(17/277)). The tier-3 clinical pathogen surveillance system did not identify any emerging respiratory pathogens. Conclusion:Respiratory pathogens in China in 2024 exhibit distinct temporal and spatial distribution patterns and vary among different populations.

Objective:To evaluate the relationship between physical activity (PA) and postoperative delirium (POD) in elderly patients undergoing knee or hip arthroplasty.Methods:The study was conducted as part of the Perioperative Neurocognitive Impairment and Biomarkers Lifestyle Cohort, which was a nested case-control study. Medical records from elderly patients undergoing elective knee or hip arthroplasty under spinal-epidural anesthesia at Qingdao Municipal Hospital from August 2022 to August 2023 were collected. The patients were divided into a POD group ( n=89) and a non-POD group ( n=221) based on the occurrence of POD. Peripheral blood samples were collected before surgery, and the cerebrospinal fluid (CSF) 2 ml was extracted after successful puncture under spinal-epidural anesthesia for determination of the concentrations of amyloid-β 42 (Aβ 42), total tau protein (t-tau), and phosphorylated tau protein (p-tau) by enzyme-linked immunosorbent assay. Logistic regression was used to analyze the influencing factors of POD, and the mediation analysis was conducted to examine the mediating role of CSF biomarker in the relationship between PA and POD. Results:Logistic regression analysis showed that the increased concentration of CSF biomarkers Aβ 42 ( OR=0.997, P=0.006), elevated ratio of Aβ 42/t-tau ( OR=0.642, P=0.003), elevated ratio of Aβ 42/p-tau ratio ( OR=0.872, P=0.001) and PA ( OR=0.374, P=0.001) were protective factors for POD, while the elevated concentrations of t-tau ( OR=1.006, P=0.001) and p-tau ( OR=1.030, P=0.011) were risk factors for POD after adjusting for multi-confounders such as hypertension, diabetes, history of drinking, years of education and Mini-Mental State Examination score. The results of the mediation analysis showed that Aβ 42 (20%), t-tau (16%), Aβ 42/t-tau (23%) and Aβ 42/p-tau (28%) played mediating roles in the relationship between PA and POD. Conclusions:PA is a protective factor for POD in elderly patients undergoing knee or hip arthroplasty and CSF biomarkers may play a mediating role in the relationship between PA and POD.