Objective:To analyze the methylation characteristics of the lymphocyte-specific protein-tyrosine kinase (LCK) promoter region in the peripheral blood circulation of rheumatoid arthritis (RA) patients and its correlation with clinical indicators.Methods:Targeted methylation sequencing was used to compare the methylation levels of 7 CpG sites in the LCK promoter region in the peripheral blood of RA patients with healthy controls (HC) and osteoarthritis (OA) patients. Correlation analysis and ROC curve construction were performed with clinical information.Results:Non-parametric tests revealed that compared with HC [0.53(0.50, 0.57)] and OA patients [0.59(0.54, 0.62), H=47.17, P<0.001], RA patients [0.63(0.59, 0.68)] exhibited an overall increase in methylation levels. Simultaneously, when compared with the HC group [0.38(0.35, 0.41), 0.59(0.55, 0.63), 0.60(0.55, 0.64), 0.59(0.55, 0.63), 0.58(0.53, 0.62), 0.45(0.43, 0.49), 0.57(0.54, 0.61)], the RA group [0.46(0.42, 0.49), 0.70(0.65, 0.75), 0.70(0.66, 0.76), 0.70(0.65, 0.75), 0.69(0.64, 0.74), 0.55(0.51, 0.59), 0.68(0.63, 0.73)] showed a significant elevation in methylation levels at CpG sites cg05350315_60, cg05350315_80, cg05350315_95, cg05350315_101, cg05350315_104, cg05350315_128, and cg05350315_142, with statistically significant differences ( Z=-5.63, -5.89, -5.91, -5.89, -5.98, -5.95, -5.95, all P<0.001). Compared with the OA group [0.65(0.59, 0.69), 0.65(0.60, 0.69), 0.64(0.58, 0.68), 0.50(0.45, 0.54), 0.63(0.58, 0.67)], the RA group [0.70(0.66, 0.76), 0.70(0.65, 0.75), 0.69(0.64, 0.74), 0.55(0.51, 0.59), 0.68(0.63, 0.73)] exhibited a significant increase in methylation levels at CpG sites cg05350315_95, cg05350315_101, cg05350315_104, cg05350315_128, and cg05350315_142, with statistically significant differences ( Z=-3.56, -3.52, -3.60, -3.67, -3.62; P=0.036, 0.042, 0.031, 0.030, 0.030). Furthermore, Pearson correlation coefficient analysis revealed a positive correlation between the overall methylation level in this region and C-reactive protein (CRP) ( r=0.19, P=0.004) and erythrocyte sedimentation rate ( r=0.14, P=0.035). The overall methylation level of the LCK promoter region in the CRP (low) group [0.63 (0.58, 0.68)] was higher than that in the CRP (high) group [0.65(0.61, 0.70)], with statistically significant differences ( Z=2.60, P=0.009). Finally, by constru-cting a ROC curve, the discriminatory efficacy of peripheral blood LCK promoter region methylation levels for identifying RA patients, especially seronegative RA patients, from HC and OA groups was validated, with an AUC value of 0.78 (95% CI: 0.63, 0.93). Conclusion:This study provides insights into the methylation status and methylation haplotype patterns of the LCK promoter region in the peripheral blood of RA patients. The overall methylation level in this region is positively correlated with the level of inflammation and can be used to differentiate seronegative RA patients from the HC and OA patients.

As a new strategy for the application of sacubitril/valsartan (LCZ696) in patients with CKD, much evidence showed that it improved the prognosis of patients with CKD. This review summarizes the efficacy and safety of sacubitril/valsartan in physiology, pathology, pharmacology and clinical application by searching Wanfang, CNKI, PubMed and other databases for related articles on the application of sacubitril/valsartan in CKD patients. Although LBQ657, the active product of sacubitril, has a high drug accumulation in patients with moderate, severe renal injury, and ESRD, it is not cleared in hemodialysis, and has very little eliminated in peritoneal dialysis, which does not affect its safety. Compared with angiotensin converting enzyme inhibitor and angiotensin receptor blocker drugs, LCZ696 could increase the blood pressure control rate, improve cardiac function, slow down the decline of glomerular filtration rate, and significantly improve cardiovascular outcomes without more adverse events. Sacubitril/valsartan can be used in all levels of CKD patients complicated with hypertension and/or heart failure, with reliable safety and tolerance.

It has gradually become a consensus in the industry that the traditional Chinese medicine gypsum should be decocted first, but the understanding of decocting method is not completely unified in the works of doctors since ancient times, and there are occasional disputes about whether it is necessary to decocting first. In this study, the phase determination, physical and chemical characterization, qualitative and quantitative analysis of inorganic and organic components of the decoctions of herbal pairs and the whole prescription Maxingshigan decoction with gypsum as the center, and the pre-decoctions and co-decoctions of them were carried out to explore the scientific connotation of the pre-decoctions of gypsum. Results show that decoction phases were different between the co-decoctions and pre-decoctions of licorice-gypsum (Gancao-Shigao, GC-SG), ephedra-gypsum (Mahuang-Shigao, MH-SG) and almond-gypsum (Xingren-Shigao, XR-SG). The results of the micromorphology, particle size and zeta potential of herbal pairs and prescription (Quanfang, QF) showed that the supramolecular particles in pre-decoctions were smaller, more uniform and more stable than the co-decoctions. The results of organic components analysis showed that different cooking methods did not change the organic composition and content. ICP-OES results showed that the content of inorganic components in pre-decoctions was higher than in co-decoctions for the same boiling time of gypsum. The IR results showed that the pre-decoctions had stronger chemical functional group effect than the co-decoctions. To sum up, compared with the co-decoction, the pre-decoction of gypsum has different phase state and chemical composition interaction, and the difference of inorganic composition is an important material basis affecting the change of phase state compared with the co-decoction. It indicates that the material basis of traditional Chinese medicine decoction is indeed different whether gypsum is decocted first or not, which can provide a basis for the clinical application of decocted gypsum.

Anti-tumor traditional Chinese medicine has a long history of clinic application, in which the star molecules have always been the hotspot of modern drug research, but they are limited by the solubility, stability, targeting, bioactivity or toxicity of the monomer components of traditional Chinese medicine anti-tumor star molecules and other pharmacokinetic problems, which hinders the traditional Chinese medicine anti-tumor star molecules for further clinical translation and application. Currently, the nanosystems prepared by supramolecular technologies such as molecular self-assembly and nanomaterial encapsulation have broader application prospects in improving the anti-tumor effect of active components of traditional Chinese medicine, which has attracted extensive attention from scholars at home and abroad. In this paper, we systematically review the research progress in preparation of supramolecular nano-systems from anti-tumor star molecule of traditional Chinese medicine, and summarize the two major categories and ten small classes of carrier-free and carrier-based supramolecular nanosystems and their research cases, and the future development direction is put forward. The purpose of this paper is to provide reference for the research and clinical transformation of using supramolecular technology to improve the clinical application of anti-tumor star molecule of traditional Chinese medicine.

Objective To establish age estimation models of northern Chinese Han adults using cranial suture images obtained by CT and multiplanar reformation(MPR),and to explore the applicability of cranial suture closure rule in age estimation of northern Chinese Han population.Methods The head CT samples of 132 northern Chinese Han adults aged 29-80 years were retrospectively collected.Volume reconstruction(VR)and MPR were performed on the skull,and 160 cranial suture tomography images were generated for each sample.Then the MPR images of cranial sutures were scored according to the closure grading criteria,and the mean closure grades of sagittal suture,coronal sutures(both left and right)and lambdoid sutures(both left and right)were calculated respectively.Finally taking the above grades as independent variables,the linear regression model and four machine learning models for age estimation(gradient boosting regression,support vector regression,decision tree regression and Bayesian ridge regression)were established for northern Chinese Han adults age estimation.The accu-racy of each model was evaluated.Results Each cranial suture closure grade was positively correlated with age and the correlation of sagittal suture was the highest.All four machine learning models had higher age estimation accuracy than linear regression model.The support vector regression model had the highest accuracy among the machine learning models with a mean absolute error of 9.542 years.Conclusion The combination of skull CT-MPR and machine learning model can be used for age esti-mation in northern Chinese Han adults,but it is still necessary to combine with other adult age estima-tion indicators in forensic practice.

Objective To understand the current situation of human brain donation in Hebei Province by analyzing the basic information of Human Brain Bank samples of Hebei Medical University in order to provide basic data support for subsequent scientific research.Methods The samples collected from the Human Brain Bank of Hebei Medical University were analyzed(from December 2019 to February 2024),including gender,age,cause of death,as well as quality control data such as postmortem delay time,pH value of cerebrospinal fluid and and RNA integrity number and result of neuropathological diagnosis.Results Until February 2024,30 human brain samples were collected and stored in the Human Brain Bank of Hebei Medical University,with a male to female ratio of 9∶1.Donors over 70 years old accounted for 53％.Cardiovascular and cerebrovascular diseases(36.67％)and nervous system diseases(23.33％)accounted for a high proportion of the death causes.The location of brain tissue donors in Shijiazhuang accounted for 90％donations,and the others were from outside the city.The postmortem delay time was relatively short,90％within 12 hours and 10％more than 12 hours.69.23％of the brain samples had RNA integrity values greater than 6.Cerebrospinal fluid pH values ranged from 5.8 to 7.5,with an average value of 6.60±0.45.Brain weights ranged from 906-1496 g,with an average value of(1210.78±197.84)g.Three apolipoprotein E(APOE)alleles were detected including five genotypes(ε2/ε3,ε2/ε4,ε3/ε3,ε3/ε4,ε4/ε4).Eleven staining methods related to neuropathological diagnosis had been established and used.A total of 12 cases were diagnosed as neurodegenerative diseases(including Alzheimer's disease,Parkinson's disease,multiple system atrophy,corticobasal degeneration and progressive supranuclear palsy,etc.),accounting for 40％donated brains.The comorbidity rate of samples over 80 years old was 100％.Conclusion The summary and analyses of the data of brain donors in the Human Brain Bank of Hebei Medical University can reflect the current situation of the construction and operation of the brain bank in Hebei Province,and it can also be more targeted to understand and identify potential donors.Our information can provide reference for the construction of brain bank and provides more reliable materials and data support for scientific research.

Objective:To examine the early to mid-term clinical outcomes of aortic valve repair in patients with bicuspid aortic insufficiency.Methods:This is a retrospective cohort study. The clinical data of 124 patients with BAV insufficiency who underwent aortic valve repair from January 2017 to June 2023 in the Department of Cardiovascular Surgery at Fuwai Hospital were analyzed retrospectively. There were 117 males and 7 females with an age of (38.1±12.7) years (range: 14 to 65 years). Depending on whether the aortic sinus was replaced or not, surgical approaches were divided into valve sparing root replacement (reimplantation, remodeling, modified remodeling) and isolated aortic valve repair (annuloplasty, isolated aortic valve leaflet repair). Perioperative and follow-up data were collected. Kaplan-Meier method was used to plot the curves of survival rate, free recurrence rate of massive aortic valve insufficiency and free re-operation rate, and Log-rank test was used for comparison between groups.Results:Among the surgeries, there were 47 cases of reimplantation, 8 cases of remodeling, 8 cases of modified remodeling, 48 cases of aortic annuloplasty (external annuloplasty in 22 cases, CV-0 annuloplasty in 26 cases), and 13 cases of isolated leaflet repair. Leaflet plication was the most used leaflet repair technique, used in 103 patients. The cardiopulmonary bypass time was (133.7±56.9) minutes (range: 48 to 461 minutes), and aortic cross-clamp time was (103.8±47.8) minutes (range: 25 to 306 minutes), with no surgical mortality. All patients underwent outpatient or telephone follow-up. The cumulative follow-up time was 340.3 person-years and the mean follow-up time was ( M (IQR)) 34.0 (25.5) months (range: 3 to 76 months). The 5-year survival rate was 98.4%, the 5-year freedom from significant insufficiency rate was 93.4% and the 5-year freedom from aortic valve reoperation rate was 95.6%. The subgroup analysis revealed a significantly better freedom from the significant insufficiency rate in the aortic valve annular reduction group compared to the non-reduction group ( P<0.01). Conclusions:Aortic valve repair in patients with bicuspid aortic insufficiency could obtain steady early to mid-term outcomes. Aortic annuloplasty can reduce the risk of recurrent aortic valve insufficiency in patients undergoing aortic repair.

Objective:To examine the early to mid-term clinical outcomes of aortic valve repair in patients with bicuspid aortic insufficiency.Methods:This is a retrospective cohort study. The clinical data of 124 patients with BAV insufficiency who underwent aortic valve repair from January 2017 to June 2023 in the Department of Cardiovascular Surgery at Fuwai Hospital were analyzed retrospectively. There were 117 males and 7 females with an age of (38.1±12.7) years (range: 14 to 65 years). Depending on whether the aortic sinus was replaced or not, surgical approaches were divided into valve sparing root replacement (reimplantation, remodeling, modified remodeling) and isolated aortic valve repair (annuloplasty, isolated aortic valve leaflet repair). Perioperative and follow-up data were collected. Kaplan-Meier method was used to plot the curves of survival rate, free recurrence rate of massive aortic valve insufficiency and free re-operation rate, and Log-rank test was used for comparison between groups.Results:Among the surgeries, there were 47 cases of reimplantation, 8 cases of remodeling, 8 cases of modified remodeling, 48 cases of aortic annuloplasty (external annuloplasty in 22 cases, CV-0 annuloplasty in 26 cases), and 13 cases of isolated leaflet repair. Leaflet plication was the most used leaflet repair technique, used in 103 patients. The cardiopulmonary bypass time was (133.7±56.9) minutes (range: 48 to 461 minutes), and aortic cross-clamp time was (103.8±47.8) minutes (range: 25 to 306 minutes), with no surgical mortality. All patients underwent outpatient or telephone follow-up. The cumulative follow-up time was 340.3 person-years and the mean follow-up time was ( M (IQR)) 34.0 (25.5) months (range: 3 to 76 months). The 5-year survival rate was 98.4%, the 5-year freedom from significant insufficiency rate was 93.4% and the 5-year freedom from aortic valve reoperation rate was 95.6%. The subgroup analysis revealed a significantly better freedom from the significant insufficiency rate in the aortic valve annular reduction group compared to the non-reduction group ( P<0.01). Conclusions:Aortic valve repair in patients with bicuspid aortic insufficiency could obtain steady early to mid-term outcomes. Aortic annuloplasty can reduce the risk of recurrent aortic valve insufficiency in patients undergoing aortic repair.

Objective To investigate the risk factors for bronchopulmonary dysplasia(BPD)in twin preterm infants with a gestational age of<34 weeks,and to provide a basis for early identification of BPD in twin preterm infants in clinical practice.Methods A retrospective analysis was performed for the twin preterm infants with a gestational age of<34 weeks who were admitted to 22 hospitals nationwide from January 2018 to December 2020.According to their conditions,they were divided into group A(both twins had BPD),group B(only one twin had BPD),and group C(neither twin had BPD).The risk factors for BPD in twin preterm infants were analyzed.Further analysis was conducted on group B to investigate the postnatal risk factors for BPD within twins.Results A total of 904 pairs of twins with a gestational age of<34 weeks were included in this study.The multivariate logistic regression analysis showed that compared with group C,birth weight discordance of>25%between the twins was an independent risk factor for BPD in one of the twins(OR=3.370,95%CI:1.500-7.568,P<0.05),and high gestational age at birth was a protective factor against BPD(P<0.05).The conditional logistic regression analysis of group B showed that small-for-gestational-age(SGA)birth was an independent risk factor for BPD in individual twins(OR=5.017,95%CI:1.040-24.190,P<0.05).Conclusions The development of BPD in twin preterm infants is associated with gestational age,birth weight discordance between the twins,and SGA birth.

Objective To construct a risk prediction model for healthcare-associated infection(HAI)in stroke pa-tients,accurately and effectively screen out potential high-risk groups,and formulate targeted preventive interven-tions to reduce the occurrence of infection.Methods Stroke patients in the"Henan Stroke Cohort"in 2019-2021 were selected as the study objects,and relevant clinical data were collected as the main analysis data for model con-struction and internal validation.The relevant data of stroke patients in three hospitals that had never participated in the cohort construction from January to September 2022 were randomly selected as a test set for external validation of the risk prediction model.The main analysis data were randomly divided into a training set and a test set,and a risk prediction model was constructed based on logistic regression,artificial neural network(ANN)algorithm,extreme gradient boosting algorithm and random forest algorithm,respectively.Multiple indicators were used to evaluate the prediction performance of the model,and the optimal model was externally validated based on the test set data.Results The infection rate of stroke patients was 20.6％in the main analysis data and 56.4％in the test set data.The accuracy of the risk prediction model based on logistic regression was 91.2％,the area under the re-ceiver operating characteristic(ROC)curve(AUC)was 0.938,the precision rate,recall rate,specificity,and the F1 score were 0.851,0.695,0.968,and 0.765,respectively.The accuracy rate,precision rate,specificity and AUC of the logistic risk prediction model and the ANN risk prediction model were all significantly better than other models,while the recall rate and F1 score of the logistic risk prediction model were slightly better than the ANN risk prediction model.The logistic risk prediction model had excellent prediction performance in external validation.Conclusion HAI risk prediction model of stroke patients based on logistic regression can better screen out high-risk stroke patients with infection risk,and can contribute to formulate targeted preventive interventions to reduce the occurrence of infection.