Objective: To develop a prediction model for mild cognitive impairment (MCI) risk among the elderly, so as to provide a tool for MCI early screening. Methods : From July 2022 to September 2024, a multi-stage stratified random cluster sampling method was used to recruit permanent residents aged ≥65 years from the Xinjiang Uygur Autonomous Region as study participants. Data on sociodemographic characteristics, nutritional status, body composition indices, bone mineral density, and handgrip strength were collected through questionnaires and physical examinations. Sarcopenia was defined based on appendicular skeletal muscle index and handgrip strength. MCI was assessed using the Mini-Mental State Examination, with adjustments for educational level. Participants were randomly divided into a training set and a validation set in a 7∶3 ratio. LASSO regression and multivariable logistic regression models were employed to screen for predictors and construct an MCI risk prediction model. The predictive performance of the model was evaluated using receiver operating characteristic (ROC) curve and decision curve analysis (DCA). Results: A total of 1 641 participants were surveyed, including 755 males (46.01%) and 886 females (53.99%). The majority of participants were aged 65-<75 years, comprising 1 154 individuals (70.32%). MCI was detected in 517 participants, corresponding to a detection rate of 31.51%. Resultsfrom LASSO regression and multivariate logistic regression analysis showed that residence (rural, OR = 2.323, 95% CI: 1.682-3.210), age (75-<85 years, OR = 1.405, 95% CI: 1.019-1.937; ≥85 years, OR = 3.655, 95% CI: 1.696-7.875), educational level (primary school, OR = 0.341, 95% CI: 0.247-0.472; junior high school, OR = 0.255, 95% CI: 0.160-0.408; high school, OR = 0.286, 95% CI: 0.154-0.531; bachelor's degree or above, OR = 0.120, 95% CI: 0.041-0.351), history of alcohol consumption (yes, OR = 3.216, 95% CI: 2.164-4.779), risk of malnutrition (yes, OR = 1.464, 95% CI: 1.064-2.014), sarcopenia (yes, OR = 3.197, 95% CI: 2.332-4.385), and waist-to-hip ratio (abnormal, OR = 1.540, 95% CI: 1.159-2.048) were identified as predictive factors for MCI among the elderly. In the training set, the area under the ROC curve, sensitivity, and specificity were 0.788, 0.719, and 0.712, respectively. In the validation set, the corresponding values were 0.784, 0.913, and 0.542, respectively. DCA demonstrated that the model provided a higher clinical net benefit for predicting MCI risk when the risk threshold probability ranged from 0.124 to 0.764. Conclusion The prediction model developed in this study demonstrates good discriminative ability and clinical utility, indicating its substantial value for predicting the MCI risk among the elderly.

Objective To summarize and analyze the efficacy and influencing factors of second allogeneic hematopoietic stem cell transplantation (allo-HSCT) for acute leukemia relapsing after the first allo-HSCT. Methods Clinical data of 17 patients with acute leukemia who underwent second allo-HSCT at Peking University First Hospital from January 2005 to December 2024 were retrospectively analyzed. Results Among the 17 patients, 7 achieved long-term disease-free survival after second transplantation. The median progression-free survival after successful second transplantation was 7 months (range 8 days to 69 months). The relapse fatality was 24%, and the transplant-related fatality was 35%. Conclusions Second transplantation is an effective treatment for relapsed and refractory acute leukemia, but the relapse fatality and transplant-related fatality remain high. Patient age, time of relapse after the first transplantation and disease status before second transplantation are all factors that affect the efficacy of second transplantation. Younger age, late relapse and complete remission of disease before second transplantation are all beneficial for long-term disease-free survival after second transplantation.

OBJECTIVE To investigate the reversal effect of Qingfei huayu jiedu formula （QFHYJDF） on drug resistance in non-small cell lung cancer （NSCLC） cells based on the microRNA-641 （miR-641）/extracellular signal-regulated kinase （ERK） signaling pathway. METHODS The human parental NSCLC cell line A549 was used to establish gefitinib-resistant cells A549/GR by combining concentration gradient increment with high-concentration pulse strategy. After screening for optimal intervention concentration and duration， the resistant cells were divided into a control serum group （treated with 20% blank serum for 48 h）， QFHYJDF-containing serum group （treated with 20% QFHYJDF-containing serum for 48 h）， and the normally cultured group （normally cultured for 48 h）. The cell relative viability， total apoptosis rate， as well as the expression levels of miR-641， neurofibromin 1 （NF1）， ERK1/2， and phosphorylated ERK1/2 （p-ERK1/2）， were assessed in each group. RESULTS Compared with the normally cultured group and the control serum group， the QFHYJDF-containing serum group exhibited significantly decreased cell relative viability and significantly increased total apoptosis rate （ P ＜0.05）. Moreover， the expression of NF1 protein was significantly up-regulated， while the expression levels of miR-641 and p-ERK1， p-ERK2 proteins were significantly down-regulated in the QFHYJDF-containing serum group （ P ＜0.05）. CONCLUSIONS QFHYJDF can inhibit proliferation and promote apoptosis of gefitinib-resistant lung cancer cells， which may be associated with up-regulating NF1 protein expression， down-regulating miR-641 expression， and inhibiting the activity of the ERK signaling pathway.

Objective:Explore the protective effect and mechanism of methyl badosolone (CDDO-Me) on rats with traumatic brain injury (TBI).Methods:A total of 72 SPF-grade SD rats aged 8 weeks were randomly (random number) divided into 4 groups ( n=18) using the random number table method: Sham, TBI, TBI+Vehicle, and TBI+CDDO-Me. The rat TBI model was established using the hydraulic impact head injury method. The TBI+CDDO-Me group was administered CDDO-Me (dissolved in 1% DMSO, at a dose of 10 mg/kg) via intraperitoneal injection 30 minutes after modeling, twice a day for a total of 3 days. On the third day after modeling, brain tissue was collected for pathological and water content detection after mNSS scoring. Immunofluorescence double staining was used to detect the expression of nuclear factor erythroid2 related factor 2 (Nrf2); immunohistochemical staining was used to detect the expression of ionized calcium binding adapter molecule-1(Iba-1); ELISA was used to detect the levels of tumor necrosis factor-α(TNF-α), interleukin (IL)-1β, and IL-18 in serum; kits were used to detect the levels of malondialdehyde (MDA) and reactive oxygen species (ROS); Western blot was used to detect the expression of the Nrf2 pathway, B-cell lymphoma-2 (BCL-2), and BCL-2 associated X protein (BAX). Results:(1) Compared with the Sham group, the mNSS scores and water content in the injured cortex of the TBI group rats were significantly increased (both P<0.05), and both significantly decreased after CDDO-Me intervention (both P<0.05). (2) Compared with the Sham group, the proportion of Nissl-stained injured neurons and apoptotic positive cells in the TBI group rats were significantly increased (both P<0.05), and both significantly decreased after CDDO-Me intervention (both P<0.05), accompanied by a decrease in BAX protein expression and upregulation of BCL-2 protein expression (both P<0.05). (3) Immunofluorescence and Western blot results showed that compared with the Sham group, the expression of total Nrf2, nuclear Nrf2, HO-1, and NQO1 proteins in the TBI group were all increased (all P<0.05), and the increase was more significant after CDDO-Me intervention (all P<0.05). (4) Immunohistochemistry and ELISA results showed that compared with the Sham group, the levels of MDA, ROS, Iba-1 in brain tissue and the levels of TNF-α, IL-1β, and IL-18 in serum in the TBI group rats were all significantly increased (all P<0.05), and all significantly decreased after CDDO-Me intervention (all P<0.05). Conclusion:CDDO-Me helps to reduce oxidative stress and inflammatory responses in TBI rats, and the mechanism may be related to the activation of the Nrf2/HO-1 antioxidant stress pathway.

AIM:To explore the mechanism of berberine on breast cancer cells based on network pharmacology and in vitro cell experiments.METH-ODS:Firstly,berberine and breast cancer were tak-en as the research objects,the intersection targets of the two were screened by VEEN diagram,GO function and KEGG enrichment analysis were per-formed by R language,and molecular docking and visualization were carried out by Autodock Vina and Pymol software.Then,berberine treated breast cancer MCF-7 cells for 24 h,and then in vi-tro cell experiments were performed.CCK-8 was used to detect cell viability,Edu and plate cloning were used to detect cell proliferation and cloning,and apoptosis was detected by An-nexin V-FITC/PI double staining and Western blot.Laser confocal and CETSA were used to verify the binding effect of berberine and AKT1 protein.RESULTS:The results of network pharmacology showed that berberine had a good binding to the core targets AKT1,AKT2 and MAPK3.Berberine(20,40,80 μmol/L)signifi-cantly inhibited the proliferation and cloning ability of MCF-7 cells in a concentration-dependent man-ner(P＜0.05,P＜0.01).The results of laser confocal and CETSA experiments showed that berberine and AKT1 had a binding effect,and the stability of the two was enhanced after the combination.CONCLU-SION:Berberine inhibits MCF-7 cell proliferation and induces apoptosis in human breast cancer cells by targeting binding to AKT1 protein.

Objective:To investigate the effect of circular RNA bromodomain PHD finger transcription factor (circBPTF) targeting microRNA (miR)-224-3p on the damage of human retinal vascular endothelial cells (HRECs) induced by high glucose.Methods:HRECs were divided into control group and high glucose group, which were cultured with medium containing 5.5 mmol/L glucose and 30 mmol/L glucose for 48 hours, respectively.HRECs were transfected with siRNA negative control (si-NC), siRNA of circBPTF (si-circBPTF), miRNA mimic control (miR-NC), and miR-224-3p by Lipofectamine 2000, followed by cultured in 30 mmol/L glucose medium for 48 hours and were recorded as si-NC group, si-circBPTF group, miR-NC group and miR-224-3p group, respectively.HRECs were transfected with si-circBPTF and anti-miR-NC or si-circBPTF and anti-miR-224-3p by double transfection method, and then treated with 30 mmol/L glucose medium for 48 hours and were recorded as anti-miR-NC group and anti-miR-224-3p group, respectively.The expression of circBPTF and miR-224-3p was detected by real-time fluorescence quantitative PCR.Cell apoptosis was detected by flow cytometry.Reactive oxygen species (ROS) level was determined by 2′, 7′-dichlorodihydrofluorescein diacetate probe.Superoxide dismutase (SOD) activity and malondialdehyde (MDA) content were detected by colorimetric method.Expression of cleaved-caspase-3/caspase-3 and cleaved-caspase-9/caspase-9 proteins was detected by Western blot.The interaction between circBPTF and miR-224-3p was identified by the dual luciferase reporter method.Results:Compared with the control group, the apoptosis rate, cleaved-caspase-3/caspase-3 protein expression, cleaved-caspase-9/caspase-9 protein expression, ROS level, MDA content, and circBPTF relative expression were significantly increased and SOD activity and miR-224-3p expression were decreased in the high glucose group (all P<0.05).Compared with the si-NC group, circBPTF relative expression, ROS level, MDA content, cleaved-caspase-3/caspase-3 protein expression, cleaved-caspase-9/caspase-9 protein expression, and cell apoptosis rate were significantly reduced and SOD activity was significantly increased in the si-circBPTF group (all P<0.05).Compared with the miR-NC group, miR-224-3p relative expression and SOD activity were significantly enhanced and ROS level, MDA content, cleaved-caspase-3/caspase-3 protein expression, cleaved-caspase-9/caspase-9 protein expression and cell apoptosis rate were significantly reduced in the miR-224-3p group (all P<0.05).The relative luciferase activity of HRECs after co-transfection of wild type circBPTF and miR-224-3p mimic was 0.43±0.04, which was significantly decreased compared with 0.99±0.06 after co-transfection of wild type circBPTF and miR-NC ( t=23.297, P<0.05).Compared with anti-miR-NC group, the relative expression of miR-224-3p and SOD activity were significantly decreased and ROS level, MDA content, cell apoptosis rate, cleaved-caspase-3/caspase-3 protein expression, and cleaved-caspase-9/caspase-9 protein expression were significantly increased in the anti-miR-224-3p group (all P<0.05). Conclusions:Interfering with circBPTF can inhibit high glucose induced HRECs apoptosis and oxidative stress damage by targeting miR-224-3p.

BACKGROUND: Lung cancer is the leading malignancy in China in terms of both incidence and mortality. With increased health awareness and the widespread use of low-dose computed tomography (CT), early diagnosis rates have been steadily improving. Surgical intervention remains the primary treatment option for early-stage lung cancer, and video-assisted thoracoscopic surgery (VATS) has become a common approach due to its minimal invasiveness and rapid recovery. However, post-discharge recovery remains incomplete, underscoring the importance of postoperative care. Traditional follow-up methods, lack standardization, consume significant medical resources, and increase the burden of the patients. Artificial intelligence (AI)-driven disease management platforms offer a novel solution to optimize postoperative follow-up. This study followed 463 lung cancer surgery patients using an AI-based platform, aiming to identify common postoperative issues, propose solutions, improve quality of life, reduce recurrence-related costs, and promote AI integration in healthcare. METHODS: Using the AI disease management platform, this study integrated educational videos, collaboration between healthcare teams and AI assistants, daily health logs, health assessment forms, and personalized interventions to monitor postoperative recovery. The postoperative rehabilitation status of the patients was assessed by the Leicester Cough Questionnaire (LCQ-MC). Two independent t-test and one-way ANOVA were used to analyze the causes of postoperative cough in lung cancer. RESULTS: Most issues occurred within 7 d post-discharge, significantly declined on 14 d post-discharge. Factors such as gender, smoking history, and surgical approaches were found to influence cough recovery. The incidence of cough on 7 d post-discharge in females was higher than that in males (P<0.01), while the incidence of cough on 14 d post-discharge in elderly patients was lower than that in young patients (P=0.03). The AI-based platform effectively addressed cough, pain, and sleep disturbances through phased interventions. CONCLUSIONS The AI-based platform significantly enhanced postoperative management efficiency and the self-care capabilities of the patients, particularly in phased cough management. Future integration with wearable devices could enable more precise and personalized postoperative care, further advancing the application of AI technology across multidisciplinary healthcare domains.
Humans ; Lung Neoplasms/rehabilitation* ; Male ; Female ; Middle Aged ; Aged ; Patient Discharge ; Artificial Intelligence ; Adult ; Postoperative Care ; Postoperative Period ; Disease Management ; Quality of Life

OBJECTIVES: To compare the anti-inflammatory, antibacterial and analgesic effects of Yinqiao Powder (YQS) formulated granules and decoction. METHODS: We first evaluated the anti-inflammatory effects of the two dosage forms of YQS in a LPS-induced RAW 264.7 cell model using RT-qPCR and Western blotting. We further constructed zebrafish models of inflammation by copper sulfate exposure, caudal fin transection, or LPS and Poly (I:C) microinjection, and evaluated anti-inflammatory effects of YQS granules and decoction by examining neutrophil aggregation and HE staining findings. In a mouse model of acute lung injury (ALI) induced by intratracheal LPS instillation, the effects of YQS gavage at 10, 15, and 20 g/kg on lung pathologies were evaluated by calculating lung wet-dry weight ratio and using HE staining, ELISA and Western blotting. The microbroth dilution method was used to evaluate the antibacterial effect of YQS. Mouse pain models established by hot plate and intraperitoneal injection of glacial acetic acid were used to evaluate the analgesic effects of YQS at 10, 15, and 20 g/kg. RESULTS: Both YQS granules and decoction significantly reduced TNF-α, IL-6, and IL-1β expressions and p-STAT3 (Tyr 705) phosphorylation level in LPS-induced RAW 264.7 cells, and obviously inhibited neutrophil aggregation in the zebrafish models. In ALI mice, YQS granules and decoction effectively ameliorated lung injury, lowered lung wet-dry weight ratio, and reduced p-STAT3 (Tyr 705) expression and TNF-α and IL-6 levels. YQS produced obvious antibacterial effect at the doses of 15.63 and 31.25 mg/mL, and significantly reduced body torsion and increased pain threshold in the mouse pain models. CONCLUSIONS The two dosage forms of TQS have similar anti-inflammatory, antibacterial and analgesic effects with only differences in their inhibitory effect on TNF-α, IL-6 and IL-1β mRNA expressions in LPS-induced RAW 264.7 cells.
Animals ; Mice ; Drugs, Chinese Herbal/pharmacology* ; Anti-Inflammatory Agents/pharmacology* ; Analgesics/pharmacology* ; RAW 264.7 Cells ; Zebrafish ; Anti-Bacterial Agents/pharmacology* ; Powders ; Tumor Necrosis Factor-alpha/metabolism* ; Acute Lung Injury/drug therapy* ; Interleukin-6/metabolism* ; Lipopolysaccharides

Objective:To investigate the incidence, risk factors, and outcomes of falls among the elderly community population in Beijing.Methods:A cross-sectional survey was conducted using stratified multistage random sampling to select urban and rural residents aged 65 years and older in Beijing. Mortality data was collected after the baseline survey for 5 years. The incidence of falls was weighted based on the composition ratios of age and gender from the 2010 Nation-wide Population Census of Beijing. A logistic regression model was used to analyze the impacts of demographic sociology of common chronic diseases on fall occurrence. The Cox proportional hazards regression model was used to analyze the fall and 5-year survival association.Results:A total of 2 968 participants completed the questionnaire, at cross-sectional survey, with an average age of (73.2±6.0) years, and 1 581 (53.8%) participants were female. Three hundred and sixty-one individuals experienced a fall within the past year. Among those who fell, 64 (17.7%) fell twice, and 95 (26.6%) fell three or more times. Of them, 14.4% (52) had post-fall fractures, with the wrist, knee, and hip being the most common fracture sites, accounting for 25.0%, 17.3%, and 15.4%, respectively. The weighted fall incidence was 12.4% (95% CI: 11.2%-13.5%). Aging, being female, and living in rural areas were more likely to fall. Logistic regression analysis showed that after adjusting for age, gender, and urban-rural status, the risk of falls for those living alone ( OR=1.48, 95% CI: 1.08-2.04) or living with children/grandchildren ( OR=1.51, 95% CI: 1.15-1.97) were significantly higher than those living with their spouse. In addition, the risk of falls was elevated significantly among the elderly with hypertension, diabetes, stroke, dementia, depression status, urinary incontinence, arthritis, insomnia, vision, and hearing loss, dependence on activities of daily living (ADL), general and poor self-rated health (SRH). The Cox proportional hazard regression model revealed that the 5-year risk of death increased by 65% ( HR=1.65, 95% CI: 1.29-2.11) for those who experienced a fall, which increased with fall frequency. This elevated risk persisted after adjusting for chronic conditions, ADL, and SRH. Conclusions:Ageing, female, living in rural regions, having common chronic diseases, dependence on ADL, general and poor SRH, living alone or living with children/grandchildren were associated with the elevated fall risk. The occurrence of fall was seasonal. The most common short-term adverse consequence after a fall was fractures, while the long-term effect was an increased risk of death.

Objective To investigate the predictive value of bone metabolism parameters on cardiac autonomic nervous system function in patients with type 2 diabetes mellitus(T2DM).Methods A total of 328 patients with T2DM hospitalized in the Department of Endocrinology of Gansu Provincial People's Hospital were enrolled in this study from October 2022 to October 2023.According to the serum 25(OH)D level,all the participants were divided into<10 ng/ml group(n=80),10～20 ng/ml group(n=173),and 20～30 ng/ml group(n=75).Biochemical indicators,bone metabolic parameters,left ventricular mass(LVM)and left ventricular mass index(LVMI)were compared.Time domain indicators ofheart rate variability(HRV)in 24 h holter electrocardiogram,including the global standard deviation of normal sinus RR interval(SDNN),sinus RR interval mean standard deviation(SDANN),and normal continuous sinus RR interval difference root mean square(RMSSD).Meanwhile,adjacent RR interval difference>50 ms as a percentage of the total inter-period(PNN50),HRV triangle index,standard deviation of the difference between the length of the entire adjacent NN interperiod(SDSD),and 24 h holter electrocardiogram HRV time-domain relevant indicators were compared among the three groups.The influence of bone metabolism parameters on cardiac autonomic nervous function and their correlation were analyzed,and the optimal cutting point of cardiac autonomic nervous function was predicted by receiver operating characteristic(ROC)curve.Results SBP,heart rate(HR),FPG,PWV,PTH and β-CTX in groups of 10 ng/ml,10～20 ng/ml and 20～30 ng/ml decreased in turn(P<0.05),while HDL-C,ABI,25(OH)D,Ca2+and PNN50 decreased.Correlation analysis between Spearman and Pearson showed that 25(OH)D was positively correlated with SDNN,HRV triangle index,PNN50 and rMSSD(P<0.01).Logistic regression analysis showed that 25(OH)D,Ca2+and HR were the influencing factors of cardiac autonomic nervous dysfunction in patients with T2DM.The ROC curve analysis showed that the areas under the ROC curve of 25(OH)D,Ca2+and HR were 0.791,0.607 and 0.629,respectively,with sensitivity of 73.4%,53.2%and 38.7%,and specificity of 74.0%,93.6%and 81.4%,respectively.Conclusions 25(OH)D is the influencing factor of cardiac autonomic nervous dysfunction in patients with T2DM,and patients with high degree of deficiency are more prone to cardiac autonomic nervous dysfunction.