Obesity is an important component of the pathophysiology of chronic diseases. Identifying epigenetic modifications associated with elevated adiposity, including DNA methylation variation, may point to genomic pathways that are dysregulated in numerous conditions. The Illumina 450K Bead Chip array was used to assay DNA methylation in leukocyte DNA obtained from 2097 African American adults in the Atherosclerosis Risk in Communities (ARIC) study. Mixed-effects regression models were used to test the association of methylation beta value with concurrent body mass index (BMI) and waist circumference (WC), and BMI change, adjusting for batch effects and potential confounders. Replication using whole-blood DNA from 2377 White adults in the Framingham Heart Study and CD4+ T cell DNA from 991 Whites in the Genetics of Lipid Lowering Drugs and Diet Network Study was followed by testing using adipose tissue DNA from 648 women in the Multiple Tissue Human Expression Resource cohort. Seventy-six BMI-related probes, 164 WC-related probes and 8 BMI change-related probes passed the threshold for significance in ARIC (P < 1 × 10(-7); Bonferroni), including probes in the recently reported HIF3A, CPT1A and ABCG1 regions. Replication using blood DNA was achieved for 37 BMI probes and 1 additional WC probe. Sixteen of these also replicated in adipose tissue, including 15 novel methylation findings near genes involved in lipid metabolism, immune response/cytokine signaling and other diverse pathways, including LGALS3BP, KDM2B, PBX1 and BBS2, among others. Adiposity traits are associated with DNA methylation at numerous CpG sites that replicate across studies despite variation in tissue type, ethnicity and analytic approaches.
BackgroundAstrocyte elevated gene-1(AEG-1) plays an important role in the development and progression of certain types of human cancers. However, the expression dynamics of AEG-1 in cervical cancer and its clinical/prognostic significance are unclear.MethodIn present study, the methods of tissue microarrays (TMA) and immunohistochemistry (IHC) were utilized to investigate AEG-1 expression in cervical intraepithelial neoplasia (CIN) and cervical cancer. Receiver operating characteristic (ROC) curve analysis, χ2 test, Kaplan-Meier plots, and multivariate Cox regression analysis were used to analyze the data.ResultsThe expression level of AEG-1 was increased from CIN I to CIN III. High expression of AEG-1 could be observed in 61.1% (55/90) of cervical cancer. Moreover, high expression of AEG-1 correlated with tumor size and lymph node metastasis (all P <0.05). More importantly, high expression of AEG-1 was closely associated with cervical cancer patient shortened survival time as evidenced by univariate and multivariate analysis (P <0.05).ConclusionsOur data suggest for the first time that high expression of AEG-1 is associated significantly with progression of cervical cancer. AEG-1 overexpression, as examined by IHC, has the potential to be used as an immunomarker to predict prognosis of cervical cancer patients.
ObjectiveTo determine the effects of carbon dioxide (CO2) and nitrogen (N2) pneumoperitoneums on endometriosis (EMs) lesions.MethodsFemale Wistar rats were randomized into the following 3 groups: CO2 (N = 20), N2 (N = 22) and air pneumoperitoneums (N = 9). After 5 weeks of establishment models, do the pneumoperitoneums. Then measure the size of EMs lesions and the related factors of serum and tissue after 1, 2, and 4 weeks of pneumoperitoneums.Results(1) One week after the pneumoperitoneum was established, the EMs lesions in the CO2 group were largest in volume, whereas at 4 weeks the EMs lesions in the CO2 group were smaller than the N2 group. (2) The level of ICAM-1 and TIMP-2 of serum in CO2 and N2 group after 2 weeks of pneumoperitoneum were higher than air group. (3) The expression of CD44v6, ICAM-1, MMP-2 and VEGF of tissue in CO2 and N2 group after 1, 2 and 4 weeks of pneumoperitoneum were lower than air group, TIMP-2 and ENS were higher than air group.ConclusionAfter a CO2 pneumoperitoneum, EMs lesions were reduced in volume, suggesting an inhibitory effect on EMs lesions.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.