Genomic imprinting refers to the phenomenon of differential expression of two alleles due to their different parental origins. Genes that produce genomic imprinting are usually called imprinted genes. The genetic effect caused by the presence of imprinted genes is called parent-of-origin effect. Parent-of-origin effect and genomic imprinting play important roles in the pathophysiological mechanism and occurrence and development of cardio-metabolic diseases. In-depth exploration of the law and potential roles of imprinted genes and parent-of-origin effects will help to better understand the mechanism of cardio-metabolic diseases, and also provide important theoretical basis for the precise treatment of diseases related to imprinted genes.

Objective To explore the risk factors of nonalcoholic fatty liver disease(NAFLD)in obese children,and evaluate the diagnostic value of each index for NAFLD and establish a Nomogram prediction model.Methods A total of 207 obese children admitted at Department of Pediatrics the Second Hospital of Jiaxing from January 2022 to January 2025 were selected.These children were divided into two groups based on NAFLD diagnosis:non-NAFLD group(n=99)and NAFLD group(n=108).Differences in gender,age,body mass index(BMI),and related metabolic indicators were compared between two groups.Logistic regression was employed to analyze potential risk factors for NAFLD development,while receiver operating characteristic(ROC)curve and Nomograms were used to evaluate the predictive value of different factors for NAFLD.Results ROC curve analysis demonstrated diagnostic value for NAFLD in triglyceride-glucose index(TyG),triglyceride-to-cholesterol ratio,TyG-waist circumference,and TyG-BMI.Among these,the area under the curve(AUC)of TyG showed the highest value of 0.713,with an optimal cutoff of 8.189,sensitivity of 50.5％and specificity of 83.3％.Univariate Logistic regression analysis revealed multiple insulin resistance indicators associated with NAFLD development.Multivariate analysis identified homeostatic model assessment of insulin resistance(HOMA-IR)and TyG as independent risk factors,with TyG showing the best predictive value(OR=3.038 95％CI:1.089-8.475,P＜0.05).The constructed Nomogram prediction model demonstrated strong comprehensive discriminant capability(AUC=0.742).Conclusion The Nomogram model based on HOMA-IR,TyG and its derived indexes has certain clinical application value in the screening of NAFLD in children.

In the field of oral medicine, 3D-printed individualized titanium mesh technology is gradually becoming an important means for the treatment of severe alveolar bone defect augmentation. This article provides a comprehensive analysis of the advantages of this technology, the evaluation of osteogenic effects, and the progress of research in clinical applications. In response to the current issue of variability in bone augmentation outcomes, this paper delves into multiple factors affecting bone augmentation effects, including individualized titanium mesh design (involving the thickness, pore size, pore shape, porosity, contour shape, selection of titanium alloy materials, and 3D printing technology), intraoperative procedures (the accuracy of placement during 3D-printed individualized titanium mesh surgery), and postoperative care (including the prevention of complications, formation of pseudoperiosteum, and stability of the titanium mesh). By integrating the clinical experience and research findings of our team, we propose a series of targeted optimization strategies, including designing, manufacturing, and clinically applying self-positioning individualized titanium meshs (positioning wings + individualized titanium meshs) to improve the positioning accuracy of the titanium mesh; propose individualized treatment processes and titanium mesh design schemes based on specific conditions of alveolar bone defects and soft tissue status; and emphasize the importance of long-term stable fixation of the titanium mesh to reduce the risk of postoperative mesh loosening and displacement. In addition, we appropriately summarize the evaluation methods for the bone augmentation effects of 3D-printed individualized titanium meshes, covering the following key indicators: (1) vertical bone augmentation and horizontal bone augmentation; (2) changes in bone contour morphology; (3) bone volume increase; (4) clinical indicators (surgical success rate, titanium mesh exposure, infection rate, and postoperative recovery); (5) aesthetic effect evaluation; (6) long-term stability; (7) radiological assessment; (8) patient satisfaction; and (9) precision of surgical operation, aiming to assist doctors in comprehensively assessing and in-depth analyzing the surgical outcomes to achieve the best therapeutic effects. The purpose of this article is to provide a reference for the optimization and clinical application of 3D-printed individualized titanium mesh technology and to lay a theoretical foundation for achieving the best osteogenic effects.

Dental implantology has developed rapidly for over half a century,since pure titanium(99.7％)dental cylindrical threaded implants were exploited and osseointegration was introduced in 1960s by Prof.Br?nemark.The long term retention rates of 10 years or more are over 95％.However,the biological complications jeopardize the long term effects of dental implant treatment seriously.The prevalence of dental implant biological complications varies greatly among different reports resulting from the disparities on the defini-tions of dental implant biological complications.After analyzing and summarizing the major opinions proposed internationally in recent years,the consensus for the definition of dental implant biological complications has been reached.Generally the dental implant biologi-cal implications can be classified into early stage(before restoration)biological complications and late stage(after restoration)biological complications.The early stage biological complications include acute and chronic infections,pain,soft tissue deficiency,and osseointegration failure,etc.The late stage complications include peri-implant diseases(peri-implant mucositis and peri-implantitis),soft tissue deficiency around implant,implant loosening and dropping off,etc.The various risk factors related to different dental implant biological complications,the strategies of the prevention and treatment for the dental implant biological complications have been discussed comprehensively,and the consensus has been reached.It is aimed to advocate the dentist to pay more attention to the early prevention of the biological implant complications,to promote more researches on the implant biological complications,and to help elevate the level of dental implantology in our country.

Objective To predict the lymphovascular invasion(LVI)status of breast cancer patients based on digital breast tomo-synthesis(DBT)intratumoral and peritumoral radiomics nomogram.Methods A total of 192 breast cancer patients from 2 institu-tions were retrospectively selected,in which institution 1 was used for train(n=113)and test(n=49),while institution 2 was used for external validation(n=30).Radiomics features were extracted and selected based on intratumoral and peritumoral 1 mm regions from DBT images.Different machine learning algorithms were used to construct intratumoral,peritumoral,and combined intratumoral and peritumoral models,respectively.Patient clinical data were analyzed by both univariate and multivariate logistic regression analy-ses to identify independent risk factors for the clinical imaging model.The performance of the models was evaluated using the receiver operating characteristic(ROC)curve.The radiomics features with the optimal diagnostic performance and the selected clinical imaging features were combined to construct a comprehensive clinical-radiomics model,and a nomogram was drawn.Results The combined intratumoral and peritumoral model was the optimal radiomics model.Maximum tumor diameter[odds ratio(OR)=1.486,P=0.014],suspicious malignant calcifications(OR=2.898,P=0.015),and axillary lymph node(ALN)metastasis(OR=3.615,P<0.001)were independent risk factors for LVI positive.Furthermore,the area under the curve(AUC)of the comprehensive clinical-radiomics model in the training set,test set and external valida-tion set was 0.889,0.916,and 0.862,respectively,which was higher than those of the combined intratumoral and peritumoral model(0.858,0.849,0.844)and the clinical imaging model(0.743,0.759,0.732).Conclusion The predictive nomogram,derived from both radiomics and clinical imaging features,is relatively accurate in identifying future LVI occurrence in breast cancer,demonstra-ting its potential as an assistive tool for clinicians to devise individualized treatment regimes.

Objective:To explore the spousal correlations of total cholesterol(TC),total triglyceride(TG),low-density lipoprotein cholesterol(LDL-C),and high-density lipoprotein cholesterol(HDL-C),and to investigate the reasons behind these spousal correlations.Methods:Participants and data were from the baseline survey of family-based cohort studies in Fangshan,Beijing and Tulou,Fujian.The ori-gin of spousal correlations were explored from perspectives of convergence,assortative mating,social ho-mogamy.Pearson's correlation and generalized linear models(GLM)were used to estimate the spousal correlation.Convergence was assessed by Pearson's correlation between the phenotypic differences be-tween couples and the duration of marriage,with GLM used for further validation.Pearson's correlation of genetic risk scores(GRS)and couple-specific Mendelian randomization(MR)were calculated to assess the genetic correlation and possible causal relationships between spouses.Two-independent-sample t-tests were used to compare GRS consistency across subgroups divided by education attainment,couple-specific MR and Q statistics used to test assortative mating in subgroups and intergroup differences.Results:In the study,342 couples(287 couples from Fangshan and 55 couples from Fujian)were included,with the average age of(64.91±8.76)years.Spousal correlations of TC,TG,HDL-C,and LDL-C showed statistically significant associations both before and after adjusting for covariates,with effect sizes of 0.229(95％CI:0.125-0.327),0.257(95％CI:0.155-0.354),0.179(95％CI:0.074-0.280),and 0.181(95％CI:0.076-0.282).For convergence,for each additional year of marriage,ΔTC increased by 0.016 mmol/L(95％CI:0.001-0.033 mmol/L),and ΔLDL-C increased by 0.017 mmol/L(95％CI:0.002-0.031 mmol/L).For assortative mating,GRS correlations and results of couple specific MR didn't show any statistical significance.For social homogamy,no differences in GRS or assortative mating were found between subgroups stratified by education attainment.Conclusion:The blood lipid in participants exhibit spousal phenotypic correlations,however,no effects of convergence,assortative mating or social homogamy were observed.More independent studies with larger sample sizes are warranted to further validate these findings in the future.

Objective:To explore the effect of contezolid on platelet count in patients with severe pneumonia and analyze the risk factors.Methods:The study was designed as a retrospective case-control study. The research subjects were selected from patients with severe pneumonia who were admitted to the Department of Respiratory and Critical Care Medicine of Shaanxi Provincial People′s Hospital from July 1, 2022 to November 30, 2024 and were treated with contezolid or linezolid. The clinical data of patients were collected and the incidence of thrombocytopenia [platelet count (PLT)<100×10 9/L after medication], the PLT before and at 1 week of treatments, and the lowest PLT value during treatments were compared in patients treated with contezolid and linezolid. The patients were divided into 2 groups based on whether contezolid- related thrombocytopenia occurred. The clinical characteristics of the patients were compared, and the independent risk factors of contezolid-related thrombocytopenia were analyzed by binary logistic regression method. Results:A total of 175 patients were included, among whom 73 received contezolid and 102 received linezolid. There was no statistically significant difference in PLT between the 2 groups before medication ( P=0.364). Compared with patients treated with linezolid, the incidence of thrombocytopenia in patients treated with contezolid was lower [19.2% (14/73) vs. 40.2% (41/102)], and the PLT at 1 week of treatments and the lowest value of PLT during treatments were higher. The differences were all statistically significant (all P<0.05). Compared with patients without contezolid-related thrombocytopenia(59 patients), patients who developed thrombocytopenia after using contezolid had a longer duration of contezolid medication, lower PLT and creatinine clearance rate before medication, and higher procalcitonin and serum creatinine levels before medication. All these differences were statistically significant (all P<0.05). The results of binary logistic regression analysis showed that lower PLT [odds ratio ( OR)=0.971, 95% confidence interval ( CI): 0.950-0.992, P=0.008] and higher procalcitonin level ( OR=7.292, 95% CI: 1.067-49.814, P=0.043) before medication and longer duration of contezolid medication ( OR=1.165, 95% CI: 1.002-1.355, P=0.046) were the independent risk factors of contezolid-related thrombocytopenia. Conclusions:Compared with linezolid, contezolid has a relatively safer profile in the treatment of patients with severe pneumonia and the risk of thrombocytopenia after medication is lower. Patients with lower PLT and higher procalcitonin levels before medication, and those with a longer duration of contezolid medication have a higher risk of contezolid-related thrombocytopenia and should be closely monitored.

Objective:To evaluate the efficacy and safety of endoscopic submucosal dissection (ESD) for the treatment of ileocecal valve lipoma.Methods:A retrospective cohort study was performed on data of ileocecal lipoma patients who underwent ESD at the Endoscopy Center of Zhongshan Hospital, Fudan University from December 2013 to June 2023. According to the lesion location, the patients were divided into ileocecal valve group and cecum group. The operation time, operation speed, en bloc resection rate, complications, and follow-up outcomes between the two groups were compared.Results:A total of 59 patients with ileocecal lipoma were enrolled, including 31 patients in the ileocecal valve group and 28 patients in the cecum group.There were no significant differences in gender, age, specimen size, or lesion size between the two groups ( P>0.05). Lipomas in both the ileocecal valve group and the cecum group were successfully resected by ESD. The en bloc resection rates were 100.0% (31/31) and 92.9% (26/28) respectively, and the difference was not statistically significant ( χ2=0.033, P=0.133). Median operative duration significantly differed between the two groups ( ileocecal valve group 26 min VS cecum group 20 min, Z=-0.136, P=0.027), as did resection speed (ileocecal valve group 0.14 cm2/min VS cecum group 0.24 cm2/min, Z=-0.223, P=0.022). Adverse events included one postoperative fever in the ileocecal valve group and one delayed bleeding in the cecum group. During the median follow-up of 38 months (7-106 months), there was no case of residual tumor or recurrence. Conclusion:Despite technical challenges in ESD of ileocecal valve lipoma, it is still a safe, feasible and effective treatment method.

[This corrects the article DOI: 10.1016/j.apsb.2022.03.002.].

Gene regulation relies on the precise binding of transcription factors (TFs) at regulatory elements, but simultaneously detecting hundreds of TFs on chromatin is challenging. We developed cFOOT-seq, a cytosine deaminase-based TF footprinting assay, for high-resolution, quantitative genome-wide assessment of TF binding in both open and closed chromatin regions, even with small cell numbers. By utilizing the dsDNA deaminase SsdAtox, cFOOT-seq converts accessible cytosines to uracil while preserving genomic integrity, making it compatible with techniques like ATAC-seq for sensitive and cost-effective detection of TF occupancy at the single-molecule and single-cell level. Our approach enables the delineation of TF footprints, quantification of occupancy, and examination of chromatin influences on TF binding. Notably, cFOOT-seq, combined with FootTrack analysis, enables de novo prediction of TF binding sites and tracking of TF occupancy dynamics. We demonstrate its application in capturing cell type-specific TFs, analyzing TF dynamics during reprogramming, and revealing TF dependencies on chromatin remodelers. Overall, cFOOT-seq represents a robust approach for investigating the genome-wide dynamics of TF occupancy and elucidating the cis-regulatory architecture underlying gene regulation.
Transcription Factors/genetics* ; Humans ; Chromatin/genetics* ; Animals ; Binding Sites ; Mice ; DNA Footprinting/methods*