BACKGROUND:The mechanism of programmed death receptor-1(PD-1)effect on osteogenic differentiation of bone marrow mesenchymal stem cells in high glucose environment remains unclear. OBJECTIVE:To explore the effect of PD-1 on osteogenic differentiation of rat bone marrow mesenchymal stem cells in high glucose environment and its regulatory mechanism. METHODS:Rat bone marrow mesenchymal stem cells were randomly divided into normal glucose group(5.6 mmol/L),high glucose group(30 mmol/L),PD-1 overexpression group,PD-1 overexpression no-load group,PD-1 knockdown group,PD-1 knockdown no-load group,and PI3K/AKT pathway inhibitor group(PD-1 knockdown+5 μmol/L LY294002).Rat bone marrow mesenchymal stem cells were cultured in high glucose to simulate the diabetic environment in vitro.The mRNA expression of PD-1 and ligand PD-L1 and the mRNA expression of osteogenic markers Runx2 and OSX in rat bone marrow mesenchymal stem cells were detected by qRT-PCR.The osteogenic differentiation ability was observed by alkaline phosphatase staining and alizarin red staining.Cell proliferation was detected by CCK-8 assay.The protein expressions of PD-1,PD-L1,p-PI3K,and p-AKT were detected by western blot assay. RESULTS AND CONCLUSION:(1)The levels of PD-1 and PD-L1 were significantly increased in the high glucose environment in vitro,and the osteogenic differentiation ability of bone marrow mesenchymal stem cells was inhibited in the high glucose environment.(2)Knockdown of PD-1 expression could promote osteogenic differentiation of bone marrow mesenchymal stem cells,increase cell proliferation activity,and activate the PI3K/AKT pathway.(3)After addition of PI3K/AKT pathway inhibitor LY294002,the ability of bone marrow mesenchymal stem cells to differentiate into osteoblasts decreased.The results show that PD-1 is dependent on the PI3K/AKT signaling pathway to inhibit osteogenic differentiation of rat bone marrow mesenchymal stem cells under high glucose environment.

Objective: To analyze the association between each regional fat mass and total body bone mineral density (BMD) in children and adolescents aged 7-17 years in Beijing, so as to provide theoretical basis and practical guidance for implementing interventions. Methods: From September to December 2020, a stratified cluster random sampling method was used to select 1 423 children and adolescents aged 7-17 years in Tongzhou District, Beijing. Dual energy X-ray absorptiometry (DXA) was employed to measure regional body composition and total body BMD. Multiple linear regression was used to analyze the association between regional fat mass and total body BMD. Results: The median (interquartile range) fat mass values for total body, upper limbs, abdomen, hips, and thighs were 13.51(8.84, 19.21), 1.59(1.08, 2.23), 0.73(0.39, 1.29), 2.32(1.46, 3.26), 5.29(3.59, 7.21)kg, respectively. After adjusting for covariates, the results of multiple linear regression analysis showed that total body fat mass (β=0.010), abdominal fat mass (β=-0.100), and hip fat mass (β=0.104) were significant associations with total body BMD (all P<0.01). Sexstratified analysis revealed that in boys, total body fat mass (β=0.008) and hip fat mass (β=0.058) were positively associated with BMD, while thigh fat mass (β=-0.038) showed a negative association with total body BMD (all P<0.05). In girls, total body fat mass (β=0.013), hip fat mass (β=0.163), and thigh fat mass (β=0.023) were positively associated with total body BMD, whereas abdominal fat mass (β=-0.196) showed a negative association with total body BMD (all P<0.05). Among children and adolescents with body fat percentage below the standard range, within the standard range and above the standard range, total body fat masses were positively associated with total body BMD (β=0.021, 0.016, 0.015); among children and adolescents with body fat percentage within the standard range while upper limb (β=-0.042), abdominal (β=-0.067), and thigh fat mass (β=-0.018) showed negative associations with total body BMD, and hip fat mass demonstrated a positive association with total body BMD (β=0.082) (all P<0.05). Conclusion Regional fat distribution is associated with total body BMD in children and adolescents, with the nature of these associations varying by sex and body fat percentage.

Diabetic kidney disease （DKD） stands as one of the most prevalent microvascular complications of diabetes，noted for its concealed onset and tendency to evolve into end-stage renal disease，profoundly impacting patients' life expectancy and quality of life. Epithelial-to-mesenchymal transition （EMT） is a central pathological process in the initiation and progression of DKD，facilitating disease advancement and renal fibrosis，thus representing a crucial focus of research into the pathological mechanisms of DKD. EMT is driven by the abnormal activation of signaling pathways，including transforming growth factor-β （TGF-β）/Smad，secreted glycoprotein/β-catenin，Notch，tumor necrosis factor-α （TNF-α）/nuclear factor-κB （NF-κB），and phosphatidylinositol-3-kinase/protein kinase B/mammalian target of rapamycin （PI3K/Akt/mTOR），leading to renal cellular injury and subsequently accelerating renal fibrosis and the progression of DKD. Traditional Chinese medicine （TCM），characterized by its multi-target and multi-pathway therapeutic approach，demonstrates unique advantages in addressing DKD and EMT. Recent research has shown that active ingredients in TCM，including glycosides，flavonoids，and polyphenols，as well as TCM formulas，can precisely target these relevant signaling pathways，effectively inhibiting cellular injury in DKD and intervening in the EMT process. These findings not only underscore the potential of TCM monomers and formulas in treating DKD and EMT but also pave new directions for research in this field within TCM. This paper systematically reviewed the signaling pathways associated with EMT and provided an in-depth analysis of the research achievements and underlying mechanisms of TCM monomers and formulas in treating DKD and intervening in EMT，aiming to offer new insights and directions for TCM in the treatment of DKD and research on EMT，thereby further promoting the modernization and development of TCM.

Objective:To investigate the application value of intraoperative electrocochleography（ECochG） monitoring technique and insertion techniques in cochlear implant（CI） and analyze its relationship with postoperative residual hearing（RH） preservation. Methods:Thirty-one patients（35 ears） who received CI in our hospital from June 2022 to July 2024 were enrolled. The Advanced Bionics Active Insertion Monitoring（AIM） system was used for real-time ECochG monitoring during surgery. Intraoperative cochlear microphonics （CM） waveform changes were recorded and analyzed in relation to postoperative RH preservation. Results:①ECochG recordings were successfully obtained in 34 of 35 ears （97.1%）. ②According to Harris classification, there were 7 ears（20.6%） of Type A（rising）, 7 ears（20.6%） of Type C（declining）, 8 ears（23.5%） of Type CC（fluctuating）, and 12 ears（35.3%） of Type D（no response）. ③The total CM amplitude decrease was significantly moderately correlated with postoperative low-mid frequency hearing loss（r=0.67, P=0.017）. The total CM amplitude decrease was significantly moderately correlated with postoperative low frequency hearing loss（r=0.65, P=0.023）. ④For the mean amplitude variation, the Amax was 30.70 μV, the Amin was 8.64 μV, and the Aend was 18.27 μV. ⑤Sixteen cases completed postoperative follow-up, with an average low-mid frequency（125-1 000 Hz） residual hearing loss of 15.25 dB HL and a RH preservation rate of 87.5%. Conclusion:Intraoperative ECochG monitoring can effectively predict postoperative residual hearing changes, effectively guide surgical manipulation, and improve residual hearing preservation rate.
Humans ; Cochlear Implantation/methods* ; Audiometry, Evoked Response ; Cochlear Implants ; Male ; Female ; Adult ; Middle Aged ; Monitoring, Intraoperative ; Adolescent ; Young Adult ; Minimally Invasive Surgical Procedures ; Child ; Aged ; Postoperative Period

The diagnosis of hematological disorders is currently established from the combined results of different tests, including those assessing morphology (M), immunophenotype (I), cytogenetics (C), and molecular biology (M) (collectively known as the MICM classification). In this workflow, most of the results are interpreted manually (i.e., by a human, without automation), which is expertise-dependent, labor-intensive, time-consuming, and with inherent interobserver variability. Also, with advances in instruments and technologies, the data is gaining higher dimensionality and throughput, making additional challenges for manual analysis. Recently, artificial intelligence (AI) has emerged as a promising tool in clinical hematology to ensure timely diagnosis, precise risk stratification, and treatment success. In this review, we summarize the current advances, limitations, and challenges of AI models and raise potential strategies for improving their performance in each sector of the MICM pipeline. Finally, we share perspectives, highlight future directions, and call for extensive interdisciplinary cooperation to perfect AI with wise human-level strategies and promote its integration into the clinical workflow.

Objective To investigate the relationship between the serum FMS-like tyrosine kinase 3 ligand(Flt3L),progranulin(PGRN)levels and the disease risk and disease outcome of patients with acute lympho-blastic leukemia(ALL).Methods A total of 104 patients with ALL admitted to the hospital from September 2019 to September 2021 were selected as the research subjects.ALL patients were divided into the low-risk group(n=34),the medium-risk group(n=39),and the high-risk group(n=31)according to the disease risk.The levels of serum Flt3L and PGRN of the patients at admission were detected by enzyme-linked immu-nosorbent assay.Pearson correlation analysis was used to analyze the relationship between serum Flt3L,PGRN in ALL patients and the risk of ALL disease.According to the follow-up results of ALL patients,they were divided into the good prognosis group(n=81)and the poor prognosis group(n=23).The receiver oper-ating characteristic curve and the area under the curve(AUC)were used to analyze the evaluation value of se-rum Flt3L and PGRN for the prognosis of ALL patients,and multivariate Cox regression was used to analyze the prognostic risk factors of ALL patients.Results The serum Flt3L levels in the low-risk group and the medium-risk group were higher than those in the high-risk group,and the difference was statistically signifi-cant(P＜0.05).The serum PGRN levels in the low-risk group and the medium-risk group were lower than those in the high-risk group,and the difference was statistically significant(P＜0.05).Serum Flt3L in ALL patients was negatively correlated with the risk of ALL disease(r=-0.461,0.593,P＜0.05).Serum PGRN in ALL patients was positively correlated with the risk of ALL disease(r=0.593,P＜0.05).The proportions of white blood cell count ≥50 × 109/L,hemoglobin＜90 g/L,and serum PGRN level in the poor prognosis group were higher than those in the good prognosis group,while the serum Flt3L level was lower than that in the good prognosis group,and the differences were statistically significant(P＜0.05).The AUC of serum Flt3L and PGRN in evaluating the prognosis of ALL patients were 0.762(95％CI:0.717-0.816),0.815(95％CI:0.764-0.863),and 0.915(95％CI:0.866-0.964),respectively.White blood cell count ≥50 × 109/L,hemoglobin＜90 g/L,Flt3L＜92.07 pg/mL,and PGRN≥335.14 pg/mL were risk factors affecting the prognosis of ALL patients(P＜0.05).Conclusion The levels of serum Flt3L and PGRN in ALL patients are related to the disease risk and disease outcome of ALL.The combined detection of the two has a good eval-uation value for the prognosis of adult ALL patients.

Abstract Healthy lifestyles are the most effective means of promoting the physical and mental health of children and adolescents. In China, unhealthy lifestyles, such as insufficient physical activity, inadequate sleep, poor dietary choices, smoking, and alcohol consumption are prevalent among this population, posing a threat to healthy growth and development. An initial review of global research examining healthy lifestyles reveals a continually evolving landscape, emphasizing the pressing need to update intervention strategies and theories for children and adolescents health promotion in China. The article presents the most recent state of the art healthy lifestyle indicators and the development of healthy lifestyle intervention strategies. In the future, interventions and monitoring of the health lifestyles of children and adolescents should be conducted in conjunction with schools and families which provide optimal settings, while utilizing advanced methods such as the Internet and digital technologies, artificial intelligence, and integrated omics technologies incorporating genetics and the environment.

Objective: To explore sex difference in the cardiovascular health (CVH) status of 6-8 year old children in Beijing, so as to inform the early intervention of CVH related lifestyles. Methods: Based on the Beijing Children s Growth and Health Cohort (PROC), baseline physical examination, sequential questionnaire survey, and laboratory tests were conducted among 1 914 grade 1 students. Children s CVH and its subscales (health behaviors and health factors) scores were calculated according to the Life s Essential 8 (LE 8) index and categorized into high, moderate, and low CVH. CVH scores were reported as medians and interquartile ranges; sex differences were compared using the Chi square test and Wilcoxon test. Results: Among the 1 914 participants, the percentages of high, moderate, and low CVH were 35.7%, 63.5%, and 0.8%, respectively, and the percentages of high, moderate, and low health behavior scores were 25.9%, 67.5%, and 6.6%, respectively, with no statistically significant differences between sex ( χ 2=2.30, 0.07, P >0.05). The rates of high, moderate, and low health factor scores for boys and girls were 61.1%, 36.0%, 2.9% and 71.1%, 28.4%, 0.5%, respectively, with a statistically significant sex difference ( χ 2=31.88, P < 0.01). The overall CVH score was 76.0(70.0, 83.0), 76.0(69.0, 82.0) for boys, and 77.0(71.0, 83.0) for girls. Among the health behavior metrics, sleep scores were the best and physical activity scores were the worst[100.0(90.0,100.0), 40.0(20.0, 80.0 )]; among the health factor metrics, blood glucose scores were the best and lipid scores were the worst[100.0(100.0,100.0), 60.0(40.0,100.0)]. In respect to health factors, there were significant gender differences in body mass index, blood lipids, blood sugar, and blood pressure scores ( Z =-6.92, 3.01, -6.60, -2.30, <0.05), but there were no significant gender differences in diet, physical activity, nicotine exposure, or sleep scores with regards to health behaviors ( Z =0.99, 0.88, -0.13, 0.36, P > 0.05 ). Compared to boys, girls in the low and moderate CVH groups had high health factor scores despite low health behavior scores. Conclusion Most 6 to 8-year-old children in Beijing were found to have relatively good CVH, and optimization of children s CVH status can be achieved by promoting healthier lifestyles and monitoring health factors, especially among boys.

Objective: To understand the prevalence of Lying Flat behaviors and its association with depressive symptoms among Chinese college students, so as to provide a scientific basis for promoting the physical and mental health development of adolescents. Methods: From July to October 2023, three universities were selected through convenient sampling from Jiangxi Province, Liaoning Province and Beijing City, respectively. Selfdesigned questionnaire links were distributed on campus to collect basic information and Lying Flat behaviors among college students, and the Patient Health Questionnaire-9 (PHQ-9) was utilized to screen for students with depressive symptoms. Finally, a total of 4 225 valid questionnaires were obtained. Chisquare was used to compare of report rates of Lying Flat behaviors across different demographic characteristics. Ordered Logistic regression analysis was used to explore the association between Lying Flat behaviors and depressive symptoms, with Z test used to assess variations in the strength of associations. Results: The reporting rates of academic, life, and social Lying Flat were 32.7%, 17.8% and 17.5%, respectively. And 6.7% of the participants were found of all three Lying Flat behaviors simultaneously.Among college students with three Lying Flat behaviors, the constituent ratios of no, mild, moderate and above depressive symptoms were 9.9%, 30.5% and 59.6%, respectively. Additionally, college students who had three Lying Flat behaviors were more likely to show mild, moderate and above depressive symptoms [OR(95%CI)=2.49(1.60-3.87), 7.69(5.01-11.79), P<0.01]. Conclusions Academic Lying Flat behavior is most prevalent among college students. Academic, life and social Lying Flat behaviors are all significantly positively correlated with depressive symptoms. Attention should be paid to the Lying Flat behaviors and college students psychological health conditions to promote their physical and mental health development.