OBJECTIVES: To investigate the readmission rate and risk factors for readmission due to hyperbilirubinemia in neonates with ABO hemolytic disease of the newborn (ABO-HDN), and to construct a risk prediction model for readmission. METHODS: Neonates diagnosed with hyperbilirubinemia due to ABO-HDN and hospitalized in the neonatal department between January 2021 and December 2023 were enrolled. Based on readmission status, neonates were divided into a readmission group and a control group. Clinical characteristics related to hyperbilirubinemia and risk factors for readmission were analyzed. Subsequently, a prediction model for readmission was constructed, and its predictive performance was evaluated. RESULTS: A total of 483 neonates with hyperbilirubinemia due to ABO-HDN were included. The readmission rate was 13.0% (63 cases). Multivariate logistic regression analysis revealed that earlier age at phototherapy initiation, longer duration of phototherapy, occurrence of rebound hyperbilirubinemia, and higher levels of serum total bilirubin and indirect bilirubin at discharge were independent risk factors for hyperbilirubinemia readmission in ABO-HDN neonates (OR=2.373, 4.840, 6.475, 5.033, 1.336 respectively; P<0.05). A risk prediction model for ABO-HDN hyperbilirubinemia readmission was constructed based on these 5 risk factors. Model evaluation demonstrated good predictive performance. CONCLUSIONS Age at phototherapy initiation, duration of phototherapy, occurrence of rebound hyperbilirubinemia, and serum total bilirubin and indirect bilirubin levels at discharge are significant influencing factors for readmission due to hyperbilirubinemia in neonates with ABO-HDN. Close monitoring during discharge planning and follow-up management for such neonates is crucial to reduce readmission rates.
Humans ; Infant, Newborn ; ABO Blood-Group System ; Risk Factors ; Patient Readmission ; Male ; Female ; Logistic Models ; Hyperbilirubinemia, Neonatal/therapy* ; Erythroblastosis, Fetal ; Bilirubin/blood*

Several types of arthritis share the common feature that the generation of inflammatory mediators leads to joint cartilage degradation. However, the shared mechanism is largely unknown. H2BK120ub1 was reportedly involved in various inflammatory diseases but its role in the shared mechanism in inflammatory joint conditions remains elusive. The present study demonstrated that levels of cartilage degradation, H2BK120ub1, and its regulator WW domain-containing adapter protein with coiled-coil (WAC) were increased in cartilage in human rheumatoid arthritis (RA) and osteoarthritis (OA) patients as well as in experimental RA and OA mice. By regulating H2BK120ub1 and H3K27me3, WAC regulated the secretion of inflammatory and cartilage-degrading factors. WAC influenced the level of H3K27me3 by regulating nuclear entry of the H3K27 demethylase KDM6B, and acted as a key factor of the crosstalk between H2BK120ub1 and H3K27me3. The cartilage-specific knockout of WAC demonstrated the ability to alleviate cartilage degradation in collagen-induced arthritis (CIA) and collagenase-induced osteoarthritis (CIOA) mice. Through molecular docking and dynamic simulation, doxercalciferol was found to inhibit WAC and the development of cartilage degradation in the CIA and CIOA models. Our study demonstrated that WAC is a key factor of cartilage degradation in arthritis, and targeting WAC by doxercalciferol could be a viable therapeutic strategy for treating cartilage destruction in several types of arthritis.

Traditional development of small protein scaffolds has relied on display technologies and mutation-based engineering, which limit sequence and functional diversity, thereby constraining their therapeutic and application potential. Protein design tools have significantly advanced the creation of novel protein sequences, structures, and functions. However, further improvements in design strategies are still needed to more efficiently optimize the functional performance of protein-based drugs and enhance their druggability. Here, we extended an evolution-based design protocol to create a novel minibinder, BindHer, against the human epidermal growth factor receptor 2 (HER2). It not only exhibits super stability and binding selectivity but also demonstrates remarkable properties in tissue specificity. Radiolabeling experiments with ^99mTc, ⁶⁸Ga, and ¹⁸F revealed that BindHer efficiently targets tumors in HER2-positive breast cancer mouse models, with minimal nonspecific liver absorption, outperforming scaffolds designed through traditional engineering. These findings highlight a new rational approach to automated protein design, offering significant potential for large-scale applications in therapeutic mini-protein development.

Heart failure,as a global public health challenge,is experiencing an increasingly severe disease burden.Given the close relationship be-tween the Nitric Oxide-Soluble Guanylate Cyclase-Cyclic Guanosine Monophosphate(NO-sGC-cGMP)signaling pathway and heart failure,this study,through a comprehensive search and review of re-cent literature on the NO-sGC-cGMP pathway and heart failure,aims to outline the mechanism of ac-tion of this signaling pathway and its connection with heart failure,in order to explore new avenues for the treatment of heart failure.

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 epidemiological characteristics of knee osteoarthritis(KOA)among military personnel in plateau regions and to explore its risk factors.Methods From July 2023 to July 2024,a multi-stage stratified cluster random sampling method was employed to survey the prevalence of KOA and related risk factors among military personnel in the northwest plateau regions of China,covering different altitudes(1500-4500 m)and geographical areas(Gansu,Qinghai,Tibet,and Xinjiang).All study subjects were divided into KOA and non-KOA groups based on the presence or absence of KOA.Variables including age,gender,body mass index(BMI),education level,smoking status,military rank,military branch,service duration,regional altitude,annual average temperature,training duration,perceived training intensity,and history of knee injury were selected for univariate analyses between groups.Variables with P<0.05 in the univariate analyses were included in the binary multifactor logistic regression to identify risk factors for KOA.Results A total of 3000 questionnaires were distributed,and 2854 valid questionnaires were collected,with a response rate of 95.13%.The sample included 2584 males and 270 females,with 510 cases of KOA,resulting in a prevalence rate of 17.9%.Univariate analysis showed that there were statistically significant differences between KOA and non-KOA groups in terms of age,BMI,smoking status,military rank,military branch,service duration,regional altitude,annual average temperature,training duration,perceived training intensity,and history of knee injury(P<0.05).However,no significant differences were found in gender and education level(P>0.05).Binary multivariate logistic regression analysis revealed that older age(OR=1.382,P=0.017),higher BMI(P<0.01),smoking(OR=1.929,P<0.01),higher military rank(OR=1.485,P=0.007),being a member of the Armed Police(P<0.01),longer service duration(P<0.01),higher regional altitude(OR=1.459,P<0.01),lower annual average temperature(OR=1.188,P=0.001),longer training duration(P<0.01),higher perceived training intensity(OR=2.450,P<0.01),and history of knee injury(OR=2.768,P=0.002)were independent risk factors for KOA.Conclusions Older age,overweight/obesity,smoking,higher military rank,being a member of the Armed Police,longer service duration,higher altitude,cold climate,longer training duration,higher training intensity,and history of knee injury are independent risk factors for KOA among military personnel in the northwest plateau regions of China.

Objectives:To investigate the epidemiological characteristics and ethnic differences of cardiovascular-kidney-metabolic syndrome(CKM)among the Hani,Dai,Bai,and Lisu populations in Yunnan Province,and to provide evidence for developing effective prevention and control strategies for CKM.Methods:A cross-sectional survey was conducted among four ethnic minority groups.A total of 3 906 permanent residents aged 18 years and older were enrolled using a multistage cluster random sampling method.CKM stages(0-4)were defined based on the 2023 American Heart Association criteria,stages 3-4 were classified as advanced CKM.Descriptive statistics and chi-square tests were used to compare the prevalence of CKM stages across ethnic groups.Modified Poisson regression was applied to estimate relative risk(RR)and 95%confidence intervals(CI)for factors associated with advanced CKM.Results:The prevalence rates of CKM stage 1 and above among the Hani,Dai,Bai and Lisu ethnic groups were 80.1%,87.3%,84.8%and 67.8%,respectively.The prevalence of CKM was generally higher in males than in females,and the prevalence of CKM increased significantly with age.The Dai ethnic group had the highest prevalence of advanced CKM(24.7%,95%CI:22.1%-27.4%),while the Lisu ethnic group had the lowest prevalence of advanced CKM(13.7%,95%CI:11.5%-15.9%).Modified Poisson regression analysis showed that older age and higher body mass index were common risk factors for advanced CKM across all four ethnic groups.Additionally,except for the Lisu ethnic group,the other three ethnic groups had specific individual risk factors:among the Hani ethnic group,low educational attainment(RR=2.18,95%CI:1.12-4.25)and low income(RR=1.47,95%CI:1.00-2.18)were the primary risk factors of CKM.Among the Dai ethnic group,smoking(RR=1.60,95%CI:1.07-2.37)and a family history of cardiovascular disease(RR=1.61,95%CI:1.14-2.27)are the primary risk factors of CKM.Among the Bai ethnic group,male gender(RR=0.48,95%CI:0.29-0.79)was the primary risk factor of CKM.Conclusions:The prevalence of CKM stage 1 or higher is relatively high among the four minority ethnic groups in Yunnan province.There are significant differences in staging characteristics and primary risk factors across ethnic groups,necessitating the development of stratified,differentiated intervention strategies to achieve precise prevention and control and ethnic health equity in terms of CKM.

Objective:To investigate the relationship between lipid levels and cognitive impairment in the elderly Chinese population using prospective cohort data.Methods:Based on the China-PAR (Prediction for Atherosclerotic Cardiovascular Disease Risk in China) cohort, this study included 24 380 individuals aged ≥60 years who participated in the cognitive function follow-up survey from 2018 to 2019. Cognitive function was assessed using the Mini-Mental State Examination (MMSE), with cognitive impairment defined according to different educational levels: MMSE ≤17 for illiterate individuals, MMSE ≤20 for those with primary education and MMSE ≤24 for those with secondary education or above. Multivariable linear regression and logistic regression models were employed to examine the associations between six baseline lipid indicators and cognitive scores, as well as cognitive impairment. Additionally, restricted cubic splines were used to explore the exposure-dose relationship between lipid levels and cognitive function.Results:The study population had a median follow-up time of 11.6 years, with a baseline age of (59.7±6.8) years. Among the participants, 9 510 (39.0%) were males, and the mean MMSE score was 24.7±6.8. A total of 3 887 individuals (15.9%) were identified as cognitively impaired. The results of multivariable linear regression and logistic regression indicated that total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C) and non-high-density lipoprotein cholesterol (non-HDL-C) levels were not only significantly positively associated with cognitive scores but also significantly associated with a lower risk of cognitive impairment. Each 1 mmol/L increase in these lipid levels corresponded to β values (95% CI) of 0.267 (0.173-0.361), 0.385(0.271-0.499) and 0.331(0.231-0.431), respectively. Each 1 mmol/L increase in these lipid levels corresponded to odds ratio ( OR) (95% CI) values of 0.915 (0.876-0.956), 0.875 (0.830-0.923) and 0.886 (0.848-0.927), respectively. The dose-response curve demonstrated that the negative association was primarily observed within the guideline-recommended optimal lipid level range. Specifically, when LDL-C was less than 3.4 mmol/L and non-HDL-C was less than 4.1 mmol/L, the corresponding OR (95% CI) values were 0.859 (0.796-0.926) and 0.876 (0.818-0.939). Conclusion:Lipid levels exhibit a certain linear negative association with cognitive impairment in elderly Chinese adults, with LDL-C and non-HDL-C demonstrating a stronger effect, particularly within the guideline-recommended optimal range.

Objectives:To investigate the epidemiological characteristics and ethnic differences of cardiovascular-kidney-metabolic syndrome(CKM)among the Hani,Dai,Bai,and Lisu populations in Yunnan Province,and to provide evidence for developing effective prevention and control strategies for CKM.Methods:A cross-sectional survey was conducted among four ethnic minority groups.A total of 3 906 permanent residents aged 18 years and older were enrolled using a multistage cluster random sampling method.CKM stages(0-4)were defined based on the 2023 American Heart Association criteria,stages 3-4 were classified as advanced CKM.Descriptive statistics and chi-square tests were used to compare the prevalence of CKM stages across ethnic groups.Modified Poisson regression was applied to estimate relative risk(RR)and 95%confidence intervals(CI)for factors associated with advanced CKM.Results:The prevalence rates of CKM stage 1 and above among the Hani,Dai,Bai and Lisu ethnic groups were 80.1%,87.3%,84.8%and 67.8%,respectively.The prevalence of CKM was generally higher in males than in females,and the prevalence of CKM increased significantly with age.The Dai ethnic group had the highest prevalence of advanced CKM(24.7%,95%CI:22.1%-27.4%),while the Lisu ethnic group had the lowest prevalence of advanced CKM(13.7%,95%CI:11.5%-15.9%).Modified Poisson regression analysis showed that older age and higher body mass index were common risk factors for advanced CKM across all four ethnic groups.Additionally,except for the Lisu ethnic group,the other three ethnic groups had specific individual risk factors:among the Hani ethnic group,low educational attainment(RR=2.18,95%CI:1.12-4.25)and low income(RR=1.47,95%CI:1.00-2.18)were the primary risk factors of CKM.Among the Dai ethnic group,smoking(RR=1.60,95%CI:1.07-2.37)and a family history of cardiovascular disease(RR=1.61,95%CI:1.14-2.27)are the primary risk factors of CKM.Among the Bai ethnic group,male gender(RR=0.48,95%CI:0.29-0.79)was the primary risk factor of CKM.Conclusions:The prevalence of CKM stage 1 or higher is relatively high among the four minority ethnic groups in Yunnan province.There are significant differences in staging characteristics and primary risk factors across ethnic groups,necessitating the development of stratified,differentiated intervention strategies to achieve precise prevention and control and ethnic health equity in terms of CKM.

Objective:To investigate the relationship between lipid levels and cognitive impairment in the elderly Chinese population using prospective cohort data.Methods:Based on the China-PAR (Prediction for Atherosclerotic Cardiovascular Disease Risk in China) cohort, this study included 24 380 individuals aged ≥60 years who participated in the cognitive function follow-up survey from 2018 to 2019. Cognitive function was assessed using the Mini-Mental State Examination (MMSE), with cognitive impairment defined according to different educational levels: MMSE ≤17 for illiterate individuals, MMSE ≤20 for those with primary education and MMSE ≤24 for those with secondary education or above. Multivariable linear regression and logistic regression models were employed to examine the associations between six baseline lipid indicators and cognitive scores, as well as cognitive impairment. Additionally, restricted cubic splines were used to explore the exposure-dose relationship between lipid levels and cognitive function.Results:The study population had a median follow-up time of 11.6 years, with a baseline age of (59.7±6.8) years. Among the participants, 9 510 (39.0%) were males, and the mean MMSE score was 24.7±6.8. A total of 3 887 individuals (15.9%) were identified as cognitively impaired. The results of multivariable linear regression and logistic regression indicated that total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C) and non-high-density lipoprotein cholesterol (non-HDL-C) levels were not only significantly positively associated with cognitive scores but also significantly associated with a lower risk of cognitive impairment. Each 1 mmol/L increase in these lipid levels corresponded to β values (95% CI) of 0.267 (0.173-0.361), 0.385(0.271-0.499) and 0.331(0.231-0.431), respectively. Each 1 mmol/L increase in these lipid levels corresponded to odds ratio ( OR) (95% CI) values of 0.915 (0.876-0.956), 0.875 (0.830-0.923) and 0.886 (0.848-0.927), respectively. The dose-response curve demonstrated that the negative association was primarily observed within the guideline-recommended optimal lipid level range. Specifically, when LDL-C was less than 3.4 mmol/L and non-HDL-C was less than 4.1 mmol/L, the corresponding OR (95% CI) values were 0.859 (0.796-0.926) and 0.876 (0.818-0.939). Conclusion:Lipid levels exhibit a certain linear negative association with cognitive impairment in elderly Chinese adults, with LDL-C and non-HDL-C demonstrating a stronger effect, particularly within the guideline-recommended optimal range.