Objective: To investigate the self-monitoring blood pressure behavior and its influencing factors among residents in Jiangsu Province, so as to provide the basis for strengthening proactive blood pressure monitoring among residents. Methods: Permanent residents aged 35-75 years in six counties (cities, districts), Jiangsu Province, were selected using the stratified cluster sampling method in 2023. Data on basic information, disease history, and self-monitoring blood pressure behavior were collected, height and weight were measured to calculate the body mass index (BMI); and blood glucose and lipid levels were measured. Self-monitoring blood pressure behavior was defined as having measured blood pressure at least once in the past three months. Factors affecting self-monitoring blood pressure behavior were identified using a multivariable logistic regression model. Results: A total of 12 475 residents were surveyed, including 5 748 males and 6 727 females, with a male-to-female ratio of 1∶1.17. There were 3 855 residents aged 45-<55 years (30.90%) and 5 511 residents who had self-monitoring blood pressure behaviors (44.18%). Multivariable logistic regression analysis showed that the residents who were males (OR=1.167, 95%CI: 1.081-1.261), lived in rural areas (OR=1.430, 95%CI: 1.321-1.547), aged 45-75 years (45-<55 years, OR=1.384, 95%CI: 1.241-1.543; 55-<65 years, OR=1.397, 95%CI: 1.243-1.570; 65-75 years, OR=1.196, 95%CI: 1.049-1.363), had an annual household income ≥30 000 yuan (30 000-<60 000 yuan, OR=1.190, 95%CI: 1.072-1.321; 60 000-<110 000 yuan, OR=1.330, 95%CI: 1.191-1.485; ≥110 000 yuan, OR=1.746, 95%CI: 1.536-1.984), were overweight (OR=1.170, 95%CI: 1.070-1.280) or obese (OR=1.248, 95%CI: 1.120-1.391), were unaware (OR=1.221, 95%CI: 1.103-1.353) or aware (OR=3.937, 95%CI: 3.575-4.335) of having hypertension, were aware of having diabetes (OR=1.538, 95%CI: 1.354-1.749), and aware of having dyslipidemia (OR=1.265, 95%CI: 1.106-1.447) were more likely to have self-monitoring blood pressure behaviors. Conclusions Among the residents aged 35-75 years in Jiangsu Province, 44.18% had self-monitoring blood pressure behavior. Gender, place of residence, age, annual household income, BMI, hypertension, diabetes, and dyslipidemia were identified as influencing factors for self-monitoring blood pressure behavior.

ObjectiveTo investigate the impact of preoperative frailty on the prognosis of patients with pancreatic cancer who underwent pancreaticoduodenectomy. MethodsA retrospective analysis was conducted on the clinical data of 435 pancreatic cancer patients who underwent pancreaticoduodenectomy at Sun Yat-sen Memorial Hospital of Sun Yat-sen University. Preoperative frailty was assessed using the FRAIL questionnaire. Binary logistics regression analysis was employed to identify factors influencing frailty， and Cox regression analysis was used to evaluate the effect of frailty on survival. According to the demographic characteristics， subgroup analyses were performed on the effect of frailty on prognosis of patients with pancreatic cancer with pancreaticoduodenectomy. ResultsAmong the 435 patients enrolled， 119 （27.4%） exhibited frailty， while 316 （72.6%） did not. Significant differences were observed between the two groups in various clinical parameters， including age， body mass index， American Society of Anesthesiologists （ASA） score， postoperative red blood cell transfusion， postoperative abdominal abscess， serum levels of glycoantigens 199， glycoantigens 125， and alpha fetoprotein， leukocyte count， neutrophil， high density lipoprotein （HDL） level， and pain intensity （P＜0.05）. Advanced age and an ASA score of Ⅲ were identified as risk factors for frailty， whereas HDL level was a protective factor. Non-frail patients had better postoperative survival times than frail patients. HDL was determined to be an independent protective factor for prognosis， while LDL was an independent risk factor. ConclusionsThis study demonstrates that preoperative frailty is a significant predictor of poor prognosis in pancreatic cancer patients who underwent pancreaticoduodenectomy.These findings suggest that preoperative frailty assessment and targeted interventions to improve nutritional and metabolic status could potentially enhance postoperative survival and quality of life in pancreatic cancer patients.

Objective To explore the role and related mechanism of neutrophil membrane-coated poly(lactic-co-glycolic acid) (PLGA) nanoparticles (Neu-NP) in cardiac repair after acute myocardial ischemia-reperfusion (MI/R) injury in mice. Methods The male C57 mouse model of acute MI/R injury was established and randomly divided into three groups: PBS control group (injection of 200 μL PBS), NP treatment group (injection of 0.5 mg/mL NP 200 μL), and Neu-NP treatment group (injection of 0.5 mg/mL Neu-NP 200 μL). Neutrophil membranes were extracted and fused with PLGA nanoparticles to construct biomimetic Neu-NP. The in vivo homing ability of Neu-NP was assessed using ex vivo imaging technology in the MI/R injury model, and the expression levels of tumor necrosis factor-α (TNF-α) and interleukin-6 (IL-6) in the myocardium were measured using enzyme linked immunosorbent assay one day and three days after administration. Echocardiography was used to determine cardiac function indicators of MI/R injured mice 28 days post-administration. Immunofluorescence staining was used to observe angiogenesis repair and inflammatory cell infiltration in mouse heart tissue. Results Neu-NP, engineered by integrating neutrophil membranes with nanoparticles, inherited surface receptors (TNF-αR and IL-6R) and functioned as decoys for inflammatory targeting. Compared with the PBS control group and NP treatment group, the secretion levels of TNF-α and IL-6 in the damaged myocardium of the Neu-NP treatment group were significantly decreased one and three days after administration (P＜0.05); 28 days after administration, the cardiac ejection fraction in the Neu-NP treatment group was significantly higher than that in the other two groups (P＜0.05). Immunofluorescence staining indicated a significant increase in the proportion of angiogenesis in the myocardial infarction area and a significant reduction in inflammation cell infiltration (P＜0.05). Conclusions Neu-NP plays an important role in cardiac tissue repair after MI/R injury by alleviating inflammatory factors in the damaged area and promoting angiogenesis.

ObjectiveTo evaluate the efficacy and safety of Xiaoji Hufei Formula in protecting children with close contact exposure to influenza， and to provide reference and evidence-based support for better clinical prevention and treatment of influenza in children. MethodsA multicenter， prospective， non-randomized， parallel， controlled trial was conducted from October 2021 to May 2022 in five hospitals， including Dongfang Hospital of Beijing University of Chinese Medicine. Confirmed influenza cases and influenza-like illness （ILI） cases were collected， and eligible children with close contact exposure to these cases were recruited in the outpatient clinics. According to whether the enrolled close contacts were willing to take Xiaoji Hufei formula for influenza prevention， they were assigned to the observation group （108 cases） or the control group （108 cases）. Follow-up visits were conducted on days 7 and 14 after enrollment. The primary outcomes were the incidence of ILI and the rate of laboratory-confirmed influenza. Secondary outcomes included traditional Chinese medicine （TCM） symptom score scale for influenza， influenza-related emergency （outpatient） visit rate， influenza hospitalization rate， and time to onset after exposure to influenza cases. ResultsA total of 216 participants were enrolled， with 108 in the observation group and 108 in the control group. Primary outcomes： （1） Incidence of ILI： The incidence was 12.0% （13/108） in the observation group and 23.1% （25/108） in the control group， with the observation group showing a significantly lower incidence （χ²=4.6， P<0.05）. （2） Influenza confirmation rate： 3.7% （4/108） in the observation group and 4.6% （5/108） in the control group， with no statistically significant difference. Secondary outcomes： （1） TCM symptom score scale： after onset， nasal congestion and runny nose scores differed significantly between the two groups （P<0.05）， while other symptoms such as fever， sore throat， and cough showed no significant differences. （2） Influenza-related emergency （outpatient） visit rate： 84.6% （11 cases） in the observation group and 96.0% （24 cases） in the control group， with no significant difference. （3） Time to onset after exposure： The median onset time after exposure to index patients was 7 days in the observation group and 4 days in the control group， with a statistically significant difference （P<0.05）. ConclusionIn previously healthy children exposed to infectious influenza cases under unprotected conditions， Xiaoji Hufei formula prophylaxis significantly reduced the incidence of ILI. Xiaoji Hufei Formula can be recommended as a specific preventive prescription for influenza in children.

ObjectiveTo evaluate the efficacy and safety of Xiaoji Hufei Formula in protecting children with close contact exposure to influenza， and to provide reference and evidence-based support for better clinical prevention and treatment of influenza in children. MethodsA multicenter， prospective， non-randomized， parallel， controlled trial was conducted from October 2021 to May 2022 in five hospitals， including Dongfang Hospital of Beijing University of Chinese Medicine. Confirmed influenza cases and influenza-like illness （ILI） cases were collected， and eligible children with close contact exposure to these cases were recruited in the outpatient clinics. According to whether the enrolled close contacts were willing to take Xiaoji Hufei formula for influenza prevention， they were assigned to the observation group （108 cases） or the control group （108 cases）. Follow-up visits were conducted on days 7 and 14 after enrollment. The primary outcomes were the incidence of ILI and the rate of laboratory-confirmed influenza. Secondary outcomes included traditional Chinese medicine （TCM） symptom score scale for influenza， influenza-related emergency （outpatient） visit rate， influenza hospitalization rate， and time to onset after exposure to influenza cases. ResultsA total of 216 participants were enrolled， with 108 in the observation group and 108 in the control group. Primary outcomes： （1） Incidence of ILI： The incidence was 12.0% （13/108） in the observation group and 23.1% （25/108） in the control group， with the observation group showing a significantly lower incidence （χ²=4.6， P<0.05）. （2） Influenza confirmation rate： 3.7% （4/108） in the observation group and 4.6% （5/108） in the control group， with no statistically significant difference. Secondary outcomes： （1） TCM symptom score scale： after onset， nasal congestion and runny nose scores differed significantly between the two groups （P<0.05）， while other symptoms such as fever， sore throat， and cough showed no significant differences. （2） Influenza-related emergency （outpatient） visit rate： 84.6% （11 cases） in the observation group and 96.0% （24 cases） in the control group， with no significant difference. （3） Time to onset after exposure： The median onset time after exposure to index patients was 7 days in the observation group and 4 days in the control group， with a statistically significant difference （P<0.05）. ConclusionIn previously healthy children exposed to infectious influenza cases under unprotected conditions， Xiaoji Hufei formula prophylaxis significantly reduced the incidence of ILI. Xiaoji Hufei Formula can be recommended as a specific preventive prescription for influenza in children.

Traditional Chinese medicine （TCM） compound prescriptions serve as crucial practical embodiments of TCM theoretical frameworks， characterized by their complex multi-component composition and multi-target interactions. The research on the material basis of their pharmacological effects has gradually become the key to promoting the modernization of TCM. In recent years， new ideas and theories regarding the research on pharmacodynamic substance basis of TCM compound prescriptions have been continuously proposed. This review systematically summarizes and reviews analytical techniques such as targeted fishing technology， spectrum-effect relationship analysis， serum pharmacochemistry， network pharmacology， high-throughput screening， and cell membrane chromatography. It is found that these techniques exhibit unique advantages in areas including target-specific analysis， component-pharmacological effect correlation analysis， identification of the material basis in vitro and in vivo， prediction of multi-target mechanisms， efficient screening of active ingredients， and analysis of interactions between cell membrane receptors. These techniques compensate for the shortcomings of traditional research methods， enhance the systematicness and precision of research on pharmacodynamic substance based TCM compound prescriptions， and can provide theoretical support for the promotion and clinical application of TCM compound prescriptions.

OBJECTIVE: To investigate the effect of manual acupuncture manipulations (MAMs) on subcutaneous muscle tissue, by developing quantitative models of "lifting and thrusting" and "twisting and rotating", based on machine learning techniques. METHODS: A depth camera was used to capture the acupuncture operator's hand movements during "lifting and thrusting" and "twisting and rotating" of needle. Simultaneously, the ultrasound imaging was employed to record the muscle tissue responses of the participants. Amplitude and angular features were extracted from the movement data of operators, and muscle fascicle slope features were derived from the data of ultrasound images. The dynamic time warping barycenter averaging algorithm was adopted to align the dual-source data. Various machine learning techniques were applied to build quantitative models, and the performance of each model was compared. The most optimal model was further analyzed for its interpretability. RESULTS: Among the quantitative models built for the two types of MAMs, the random forest model demonstrated the best performance. For the quantitative model of the "lifting and thrusting" technique, the coefficient of determination (R²) was 0.825. For the "twisting and rotating" technique, R² reached 0.872. CONCLUSION Machine learning can be used to effectively develop the models and quantify the effects of MAMs on subcutaneous muscle tissue. It provides a new perspective to understand the mechanism of acupuncture therapy and lays a foundation for optimizing acupuncture technology and designing personalized treatment regimen in the future.
Humans ; Acupuncture Therapy/methods* ; Machine Learning ; Male ; Adult ; Female ; Subcutaneous Tissue/diagnostic imaging* ; Young Adult

BACKGROUND: Arsenic trioxide (ATO) is indicated as a broad-spectrum medicine for a variety of diseases, including cancer and cardiac disease. While the role of ATO in hepatic ischemia/reperfusion injury (HIRI) has not been reported. Thus, the purpose of this study was to identify the effects of ATO on HIRI. METHODS: In the present study, we established a 70% hepatic warm I/R injury and partial hepatectomy (30% resection) animal models in vivo and hepatocytes anoxia/reoxygenation (A/R) models in vitro with ATO pretreatment and further assessed liver function by histopathologic changes, enzyme-linked immunosorbent assay, cell counting kit-8, and terminal deoxynucleotidyl transferase-mediated dUTP nick-end labeling (TUNEL) assay. Small interfering RNA (siRNA) for extracellular signal-regulated kinase (ERK) 1/2 was transfected to evaluate the role of ERK1/2 pathway during HIRI, followed by ATO pretreatment. The dynamic process of autophagic flux and numbers of autophagosomes were detected by green fluorescent protein-monomeric red fluorescent protein-LC3 (GFP-mRFP-LC3) staining and transmission electron microscopy. RESULTS: A low dose of ATO (0.75 μmol/L in vitro and 1 mg/kg in vivo ) significantly reduced tissue necrosis, inflammatory infiltration, and hepatocyte apoptosis during the process of hepatic I/R. Meanwhile, ATO obviously promoted the ability of cell proliferation and liver regeneration. Mechanistically, in vitro  studies have shown that nontoxic concentrations of ATO can activate both ERK and phosphoinositide 3-kinase-serine/threonine kinase (PI3K-AKT) pathways and further induce autophagy. The hepatoprotective mechanism of ATO, at least in part, relies on the effects of ATO on the activation of autophagy, which is ERK-dependent. CONCLUSION Low, non-toxic doses of ATO can activate ERK/PI3K-AKT pathways and induce ERK-dependent autophagy in hepatocytes, protecting liver against I/R injury and accelerating hepatocyte regeneration after partial hepatectomy.
Animals ; Arsenic Trioxide ; Autophagy/physiology* ; Reperfusion Injury/prevention & control* ; Mice ; Male ; Proto-Oncogene Proteins c-akt/physiology* ; Arsenicals/therapeutic use* ; Oxides/therapeutic use* ; Liver/metabolism* ; Extracellular Signal-Regulated MAP Kinases/metabolism* ; Mice, Inbred C57BL

Allergen-specific immunotherapy（AIT） remains the only therapeutic approach with the potential to modify the natural course of allergic rhinitis（AR）. Nevertheless, considerable inter-individual variability exists in patients'responses to AIT. To facilitate more reliable assessment of treatment efficacy, the China Rhinopathy Research Cooperation Group（CRRCG） convened young and middle-aged nasal experts in China to formulate the present consensus. The recommended subjective outcome measures for AIT comprise symptom scores, medication scores, combined symptom and medication scores, quality-of-life assessments, evaluation of disease control, and assessment of comorbidities. Objective indicators may supplement these measures. Currently available objective approaches include skin prick testing, nasal provocation testing, and allergen exposure chambers. However, these methods remain constrained by practical limitations and are not yet appropriate for routine implementation in clinical efficacy evaluation. In addition, several biomarkers, including sIgE and the sIgE/tIgE ratio, sIgG4, serum IgE-blocking activity, IgA, cytokines and chemokines, as well as immune cell surface molecules and their functional activity, have been shown to have associations with AIT outcomes. While these biomarkers may complement subjective assessments, they are subject to significant limitations. Consequently, large-scale multicenter trials and real-world evidence are required to strengthen the evidence base. The present consensus underscores the necessity of integrating patients'subjective experiences with objective testing throughout the treatment process, thereby providing a more comprehensive and accurate framework for efficacy evaluation. Looking forward, future investigations should prioritize the incorporation of multi-omics data and artificial intelligence methodologies, which hold promise for overcoming current limitations in assessment strategies and for advancing both the standardization and personalization of AIT.
Humans ; Allergens/immunology* ; China ; Consensus ; Desensitization, Immunologic ; Immunoglobulin E ; Quality of Life ; Rhinitis, Allergic/therapy* ; Treatment Outcome ; East Asian People

Over the past few decades, tumor immunotherapy has revolutionized the landscape of cancer clinical treatment. There is a flourishing development of combination strategies to improve the anti-tumor efficacy of mono-immunotherapy. However, instead of a straightforward combination of multiple therapeutics, it is more preferable to pursue a synergistic effect by designing rational combinations as well as administration strategies, which are based on a comprehensive understanding of the physiological and pathological features. In this case, the timing and spatial distribution of the combination drugs become essential factors in achieving improved therapeutic outcomes. Therefore, the concept of Sequential Drug Delivery System (SDDS) is proposed to define the spatiotemporally programmed drug delivery/release through triggers of internal conditions and/or external interventions, thus complying with the dynamic disease evolution and the human immunity. This review summarizes the recent advancements in biomaterial-based SDDSs used for spatiotemporally-tuned combination tumor immunotherapy. Furthermore, the rationales behind various engineering strategies are discussed. Finally, an overview of potential synergistic mechanisms as well as their prospects for combination immunotherapy is presented.