Objective: To investigate the emotional and behavioral problems among preschool children and the correlations with maternal parenting competence and family rearing environment, so as to provide a scientific basis and practical guidance for the physical and mental health development of preschool children. Methods: In June 2025, 660 preschool children aged 3-6 years old were selected from 10 kindergartens in Hefei, Anqing, and Tongling in Anhui Province by using a stratified cluster random sampling method. A questionnaire survey was conducted among all parents of preschool children using the Parent version of the Strengths and Difficulties Questionnaire, the Child Family Rearing Environment Scale, and the Chinese version of the Parenting Sense of Competence Scale. Pearson correlation analysis and multiple linear regression analysis were used to analyze the related factors of emotional and behavioral problems among preschool children. SPSS macro program Process 4.1 and Bootstrap method were used to test the mediating effect of family parenting environment between emotional and behavioral problems among preschool children and maternal parenting competence. Results: The detection rate of emotional and behavioral problems among preschool children was 20.15%. The total scores of family rearing environment and maternal parenting competence were negatively correlated with emotional and behavioral problems among preschool children ( r =-0.45,-0.79), and the total score of family rearing environment was positively correlated with the total score of maternal parenting competence ( r =0.43) (all P <0.01). Multiple linear regression showed that, after controlling whether being only child, parents educational level, registered residence location and other variables, family rearing environment, self efficacy and satisfaction were all negative predictors of emotional and behavioral problems among preschool children ( B =-0.07, -0.42, -0.42, all P <0.01). The mediation effect results showed that maternal parenting competence could positively predict the family rearing environment ( B =0.75), while maternal parenting competence and family rearing environment could both negatively predict emotional and behavioral problems among preschool children ( B =-0.49, -0.06 ) (all P <0.05). The Bootstrap sampling method test results showed that the effect value of the indirect effect of maternal parenting competence on emotional and behavioral problems through the family rearing environment was -0.04, and the effect proportion was 8.21 %. Conclusion Preschool children with a better family rearing environment and stronger maternal parenting competence are less likely to have emotional and behavioral problems, among which the family rearing environment has a mediating effect.

Objective:To investigate the role of microRNA-709(miR-709)in erythroid development and its correlation with multiple hematological diseases.Methods:The expression of miR-709 in multiple tissues of mice was detected by qRT-PCR;The expression of miR-709 and other miRNAs in day-14.5 fetal liver cells from mouse embryos was detected by transcriptome microarray analysis;The expression of miR-709 in nucleated red blood cells derived from bone marrow and spleen,and in peripheral blood erythrocytes of mice was detected by magnetic bead sorting combined with qRT-PCR;The expression of miR-709 during erythroid differentiation of murine erythroleukemia(MEL)cells was analyzed by cell culture and qRT-PCR;The expression of miR-709 during erythroid lineage differentiation of mouse erythroid precursor cells derived from fetal livers was analyzed by magnetic bead sorting,flow cytometry,cell culture and qRT-PCR;The expression of miR-709 in peripheral blood of patients with different hematological diseases was measured by qRT-PCR.Results:Among the various tissues examined in mice,miR-709 exhibited the highest expression in peripheral blood,followed by high expression levels in muscle,bone marrow,and liver;In day-14.5 fetal liver cells from mouse embryos,miR-709 was highly expressed,significantly surpassing miR-451,which was most highly expressed in mature red blood cells;In nucleated red blood cells derived from mouse bone marrow and spleen,the expression of miR-709 was higher than that of miR-451,whereas the opposite pattern was observed in peripheral blood;During the differentiation of erythroid precursor cells derived from mouse embryonic liver,the expression level of miR-709 first increased and then decreased;During the differentiation of MEL cells,the expression of miR-709 gradually increased;Compared with the healthy controls,patients with myelodysplastic syndrome(MDS),α-thalassemia and β-thalassemia expressed lower levels of miR-709 in peripheral blood;while the expression of miR-709 in patients with infectious hemolytic anemia(IHA)was higher than that in healthy controls.Conclusion:miR-709 is highly expressed in the early stage of erythropoiesis and exhibits dynamic changes during erythroid development,potentially playing an important role.It is also differentially expressed in different hematological diseases,which is expected to serve as a promising biomarker and therapeutic target in the clinical diagnosis and treatment of hematological diseases.

Objective To investigate the relationship between the expression of discoidin,CUB and LCCL domain containing protein 1(DCBLD1)and cytoskeleton associated protein 2(CKAP2)in cervical cancer(CC)tissues and epithelial mesenchymal transition(EMT)and clinical prognosis.Methods 94 CC patients diagnosed and treated in Shiyan Hospital of Traditional Chinese Medicine from February 2017 to February 2019 were selected.The expression of DCBLD1 messenger ribonucleic acid(mRNA),CKAP2 mRNA,N-cadherin(N-cad)mRNA,vimentin(Vim)mRNA and TWIST mRNA in tissues was detected by real-time fluorescence quantitative PCR(qRT-PCR).The expressions of DCBLD1 and CKAP2 were detected by immunohistochemistry(IHC).Pearson correlation analysis was used to analyze the relationship between DCBLD1 mRNA,CKAP2 mRNA and EMT-related indicators.Kaplan-Meier survival curve was drawn to compare the prognosis of CC patients with different DCBLD1 mRNA and CKAP2 mRNA expression.COX regression analysis was used to analyze the prognostic factors of CC patients.Results The expression of DCBLD1 mRNA,CKAP2 mRNA,N-cad mRNA,Vim mRNA and TWIST mRNA in CC cancer tissues was higher than that in adjacent tissues,and the differences were statistically significant(t=32.763～52.824,all P<0.05).The positive rates of DCBLD1 protein(89.36%)and CKAP2 protein(87.23%)in CC cancer tissues were higher than those in adjacent normal tissues(7.45%,6.38%),and the differences were statistically significant(χ2=126.278,123.396,all P<0.001).The expression of DCBLD1 mRNA and CKAP2 mRNA in CC cancer tissues were positively correlated with the expression of N-cad mRNA,Vim mRNA and TWIST mRNA(r=0.655～0.744,all P<0.001).The expression of DCBLD1 mRNA and CKAP2 mRNA in patients with FIGO stage IB2～IIB and lymph node metastasis were higher than those in patients with stage IA～IB1 and without lymph node metastasis(t=25.644～35.674,all P<0.05).The 5-year progression free survival rates of the high expression groups of DCBLD1 mRNA and CKAP2 mRNA were 63.04%and 62.22%,respectively,which were lower than those of the low expression groups of DCBLD1 mRNA and CKAP2 mRNA(91.67%and 91.84%),respectively,and the differences were statistically significant(Log-Rank χ2=7.181,6.527,all P<0.05).FIGO stage IB2～IIB,high DCBLD1 mRNA and high CKAP2 mRNA were risk factors affecting the prognosis of CC patients(Wald χ2=8.277,15.877,10.927,all P<0.05).Conclusion The expression of DCBLD1 and CKAP2 in CC cancer tissues is significantly increased,which is related to EMT related indicators and plays a promoting role in the progression of CC tumors.They are new prognostic markers for CC.

Aim To study the mechanism of salidro-side combined with rosavin in rats with ischemic stroke.Methods The MCAO rats was established by using thread-embolic method.The rats were divided into the sham group,MCAO group,salidroside com-bined with rosavin group,and positive control group;the drug was given continuously for seven days.Western blot was used to detect apoptosis indicators.Proteomics was used to analyse differential proteins(DEPs).STEP receptor inhibitor was injected into the lateral ventricles,the rats were administered for seven days,then the apoptosis indicators were detected.Re-sults Salidroside combined with rosavin could reduce neurological function scores in MCAO rats and inhibit cell apoptosis.Quantitative proteomics identified 496 DEPs in brain tissue and discovered core proteins STEP,p38,and CRTC1.Salidroside combined with rosavin could promote the STEP and CRTC1 while in-hibiting p38 protein.After treatment with STEP inhibi-tor,those effects were reversed.Conclusion Salidro-side combined with rosavin can inhibit cell apoptosis in MCAO rats,which is closely related to the regulation of the STEP/p38/CRTC1 signaling pathway.

Objective:To investigate the acute effects of persistent high exposure to atmospheric fine particulate matter (PM 2.5) on residents' outpatient visits for respiratory diseases. Methods:We collected daily outpatient records from 92 hospitals in 13 cities across the Beijing-Tianjin-Hebei region, along with daily PM 2.5, nitrogen dioxide (NO 2), and meteorological data from 2013 to 2018. Five persistent high PM 2.5 exposure scenarios were defined in terms of daily mean PM 2.5 concentrations (>75 μg/m 3 and >150 μg/m 3), duration (≥2 days and ≥3 days), and whether or not there was concurrent exposure to high levels of NO 2 (daily mean NO 2 concentration >50 μg/m 3). A two-stage statistical analysis strategy based on a generalized linear model was applied to conduct a time-series analysis to assess the exposure-response relationship between persistent high PM 2.5 exposure scenarios and residents' outpatient visits for a variety of respiratory diseases, and to estimate excess outpatient visits. Results:During the period, M ( Q1, Q3) PM 2.5 and NO 2 concentrations were 61.2 (42.3, 95.1) μg/m 3 and 40.2 (31.4, 54.4) μg/m 3, respectively, and the daily respiratory disease outpatient visits were 57 (52, 66) cases. When compared with non-permanent high PM 2.5 exposure periods, exposure scenarios with PM 2.5 >75 μg/m 3 and lasting for ≥2 days caused an increased risk of outpatient visits for respiratory diseases by 2.10% (95% CI: 1.44%-2.77%), and resulted in 43 787 (95% CI: 30 025-57 757) excess visits; in this scenario, the concurrent exposure to high levels of NO 2 had a greater acute effect on respiratory disease visits than the absence of exposure to high levels of NO 2 ( P<0.001). The risk of respiratory disease visits increased substantially by 4.41% (95% CI: 3.15%-5.68%) when the daily mean PM 2.5 concentration exceeded 150 μg/m 3 for ≥2 days. Subgroup disease analyses showed that scenarios with daily mean PM 2.5 concentrations exceeding 75 μg/m 3 for ≥3 days caused a significant increase in the risk of lower respiratory tract infections, chronic lower respiratory disease, and asthma visits. Conclusions:Sustained persistent high PM 2.5 exposure increases the risk of outpatient visits for various respiratory diseases; concurrent exposure to high concentrations of NO 2 leads to a greater risk of visiting the clinic, suggesting that the prevention and control of PM 2.5 pollution should be synchronized with the control of mobile source emissions, to synergistically manage the compound pollution of PM 2.5 and NO 2 in the atmosphere.

Objective:To evaluate the mediating effect of electrocardiographic (ECG) indicators in the association between short-term exposure to fine particulate matter (PM 2.5) and blood pressure and to explore the key PM 2.5 element constituents that produce the mediating effect. Methods:Based on a cross-sectional survey across 10 cities in the Beijing-Tianjin-Hebei region and surrounding areas, PM 2.5 and its element constituents were collected from the nearest air monitoring superstation. Blood pressure and ECG indicators of participants were obtained through physical examinations. A multivariate linear regression was used to evaluate the effect of short-term exposures to PM 2.5 on blood pressure. A mediation analysis was used to identify the mediating effect of ECG indicators in the association between exposure to PM 2.5 and its element constituents and blood pressure. Results:The age of the 1 793 participants was (65.1±13.3) years, and 885 (49.4%) were males. During the study period, the daily mean concentration of PM 2.5 was (70±45) μg/m 3, and the systolic blood pressure (SBP), diastolic blood pressure (DBP), mean arterial pressure (MAP) and pulse pressure (PP) were (139±20), (82±11), (101±13), and (57±17) mmHg (1 mmHg=0.133 kPa), respectively. The results of the multivariate linear regression showed that for every 10 μg/m 3 increase in PM 2.5 on the same day (lag 0), DBP increased by 0.15 (95% CI: 0.02-0.28) mmHg, and PP decreased 0.18 (95% CI: 0.36-0.01) mmHg. The exposure to 14 elemental constituents, such as Ga, Co and Se, was associated with an increase in DBP, while the exposure to 17 elemental constituents, such as Cs, Se and Ag, was associated with a decrease in PP. At lag 0, the PM 2.5-induced increase in DBP was mediated by the QRS interval (mediation percentage of 18.98%), and the PM 2.5-induced decrease in PP was mediated by the QT interval (mediation percentage of -6.31%). The exposure to K, Br, Pb, Zn, Ca, Co, Pd, Cu, and As constituents was associated with increases in DBP mediated by prolonged QRS interval. The exposure to Pb, Zn, K, and As constituents was associated with decreases in PP mediated by prolonged QRS interval. Conclusion:ECG indicators such as QRS interval may mediate the association between short-term exposure to PM 2.5 and its element constituents and blood pressure.

Objective:To assess the effect of short-term exposures to atmospheric fine particulate matter (PM 2.5) and its components on cognitive function in middle-aged and older people aged 40-89 and identify key components that affect cognitive function. Methods:From October 2018 to March 2019, a cross-sectional survey of middle-aged and older people aged 40-89 was conducted across 10 cities in Beijing-Tianjin-Hebei and neighboring regions of China. Data on PM 2.5 and its components were collected from the nearest air supermonitoring stations to the residential addresses. The cognitive function was assessed using the Min-Mental State Examination (MMSE) scale. Multiple linear regression models were used to assess the effect of short-term exposures to PM 2.5 and its components on cognitive function in middle-aged and older people. The restricted cubic spline function was used to fit the exposure-response relationship between different components and changes in MMSE scores. Results:The age of the 1 978 respondents was (65.1±13.4) years, and 976 (49.34%) were males. During the study period, the daily mean concentration of PM 2.5 was (71.2±43.2) μg/m 3, and the MMSE score was (28.2±3.7). The results of the multiple linear regression model showed that short-term exposures to PM 2.5 and its components were associated with cognitive decline in middle-aged and older people after adjusting for confounding factors, and the effect was higher at lag 0-28 days. For an interquartile range (64.3 μg/m 3) increase in PM 2.5 at lag 0-28 d, the MMSE score decreased by 5.91 (95% CI: 0.04, 11.77). For an interquartile range increase in organic carbon (OC), antimony (Sb), chromium (Cr), zinc (Zn), tin (Sn), and cadmium (Cd), the MMSE scores of middle-aged and older people decreased by 5.71 (95% CI: 1.69, 9.73), 4.67 (95% CI: 2.50, 6.84), 4.49 (95% CI: 1.05, 7.92), 3.65 (95% CI: 0.89, 6.42), 2.76 (95% CI: 1.22, 4.30), and 1.72 (95% CI: 0.53, 2.92). Conclusions:Short-term exposures to atmospheric PM 2.5 and its components (OC, Sb, Cr, Zn, Sn, and Cd) are associated with cognitive decline in middle-aged and older people.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective:To investigate the acute effects of persistent high exposure to atmospheric fine particulate matter (PM 2.5) on residents' outpatient visits for respiratory diseases. Methods:We collected daily outpatient records from 92 hospitals in 13 cities across the Beijing-Tianjin-Hebei region, along with daily PM 2.5, nitrogen dioxide (NO 2), and meteorological data from 2013 to 2018. Five persistent high PM 2.5 exposure scenarios were defined in terms of daily mean PM 2.5 concentrations (>75 μg/m 3 and >150 μg/m 3), duration (≥2 days and ≥3 days), and whether or not there was concurrent exposure to high levels of NO 2 (daily mean NO 2 concentration >50 μg/m 3). A two-stage statistical analysis strategy based on a generalized linear model was applied to conduct a time-series analysis to assess the exposure-response relationship between persistent high PM 2.5 exposure scenarios and residents' outpatient visits for a variety of respiratory diseases, and to estimate excess outpatient visits. Results:During the period, M ( Q1, Q3) PM 2.5 and NO 2 concentrations were 61.2 (42.3, 95.1) μg/m 3 and 40.2 (31.4, 54.4) μg/m 3, respectively, and the daily respiratory disease outpatient visits were 57 (52, 66) cases. When compared with non-permanent high PM 2.5 exposure periods, exposure scenarios with PM 2.5 >75 μg/m 3 and lasting for ≥2 days caused an increased risk of outpatient visits for respiratory diseases by 2.10% (95% CI: 1.44%-2.77%), and resulted in 43 787 (95% CI: 30 025-57 757) excess visits; in this scenario, the concurrent exposure to high levels of NO 2 had a greater acute effect on respiratory disease visits than the absence of exposure to high levels of NO 2 ( P<0.001). The risk of respiratory disease visits increased substantially by 4.41% (95% CI: 3.15%-5.68%) when the daily mean PM 2.5 concentration exceeded 150 μg/m 3 for ≥2 days. Subgroup disease analyses showed that scenarios with daily mean PM 2.5 concentrations exceeding 75 μg/m 3 for ≥3 days caused a significant increase in the risk of lower respiratory tract infections, chronic lower respiratory disease, and asthma visits. Conclusions:Sustained persistent high PM 2.5 exposure increases the risk of outpatient visits for various respiratory diseases; concurrent exposure to high concentrations of NO 2 leads to a greater risk of visiting the clinic, suggesting that the prevention and control of PM 2.5 pollution should be synchronized with the control of mobile source emissions, to synergistically manage the compound pollution of PM 2.5 and NO 2 in the atmosphere.

Creutzfeldt-Jakob disease(CJD)is a rare neurodegenerative disorder characterized by abnor-malities in the prion protein(PrP),the most common form of human prion disease.Although Genome-Wide Association Studies(GWAS)have identified numerous risk genes for CJD,the mechanisms under-lying these risk loci remain poorly understood.This study aims to elucidate novel genetically prioritized candidate proteins associated with CJD in the human brain through an integrative analytical pipeline.Uti-lizing datasets from Protein Quantitative Trait Loci(pQTL)(NpQTL1=152,NpQTL2=376),expres-sion QTL(eQTL)(N=452),and the CJD GWAS(NCJD=4 110,NControls=13 569),we imple-mented a systematic analytical pipeline.This pipeline included Proteome-Wide Association Study(PWAS),Mendelian randomization(MR),Bayesian colocalization,and Transcriptome-Wide Associa-tion Study(TWAS)to identify novel genetically prioritized candidate proteins implicated in CJD patho-genesis within the brain.Through PWAS,we identified that the altered abundance of six brain proteins was significantly associated with CJD.Two genes,STX6 and PDIA4,were established as lead causal genes for CJD,supported by robust evidence(False Discovery Rate＜0.05 in MR analysis;PP4/(PP3+PP4)≥0.75 in Bayesian colocalization).Specifically,elevated levels of STX6 and PDIA4 were asso-ciated with an increased risk of CJD.Additionally,TWAS demonstrated that STX6 and PDIA4 were asso-ciated with CJD at the transcriptional level.