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Objective To examine the differential expression of plasma circRNA in individuals with type 2 diabetes mellitus(T2DM)and to elucidate the potential role of circRNA in the pathogenesis and progression of T2DM.Methods A total of 33 newly diagnosed T2DM patients who were hospitalized in the Department of Endocrinology of Heze Municipal Hospital and 33 healthy subjects with normal glucose tolerance(NC)were enrolled in this study from March 2022 to March 2023.Three subjects with T2DM and 3 with NC were randomly selected from study population and underwent high-throughput sequencing to identify differentially expressed circRNA.Six circRNA with significant differences were selected,and validated in the remaining study population using Real-Time Quantitative Polymerase Chain Reaction(RT-qPCR).Bioinformatics analyses were conducted on the differentially expressed circRNA-associated genes,and their interaction with microRNA(miRNA)was predicted.Results Microarray analysis revealed 166 significantly differentially expressed circRNA(FC≥2,P<0.05)in the T2DM group compared with NC group.Among them,137 were up-regulated and 29 were down-regulated.RT-qPCR validation of six circRNA showed that the expression level of hsa_circ_0000705 was significantly higher,while the expression levels of hsa_circ_0005362 and hsa_circ_0042839 were significantly lower in T2DM group,consistent with the microarray results.However,hsa_circ_0117392,hsa_circ_0008311,and hsa_circ_0087641 showed no significant changes.Conclusion Differentially expressed circRNA are present in T2DM patients.Hsa_circ_0005362 was significantly down-regulated and may be involved in the development of T2DM through the regulation of related signaling pathways by targeting miR-128-1-5p.
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Objective To construct a nomogram prediction model for major adverse cardiovascular events(MACE)within 1 year after percutaneous coronary intervention(PCI)in elderly patients with acute coronary syndrome(ACS).Methods A retrospective analysis was conducted on 551 patients with diagnosed ACS and undergoing PCI in Department of Cardiovascular Medicine of Air Force Medical Center from 1 January 2020 to 1 April 2022.According to the occurrence of MACE during 1 year of follow-up,they were classified into MACE group(n=176)and non-MACE group(n=375).Risk factors for the occurrence of MACE in elderly ACS patients within 1 year after PCI were analysed using univariate and multivariate logistic regression,a nomogram prediction model was constructed,and the predictive power of the model was assessed using the area under the ROC curve(AUC).Results The MACE group had significantly higher Gensini score,systemic immune-inflammation index,and GRACE score,but obviously lower prognostic nutritional index than the non-MACE group(P＜0.01).Multivariate logistic regression analysis showed that recent smoking(OR=2.222,95％CI:1.361-3.628,P=0.010),hyperlipidaemia(OR=1.881,95％CI:1.145-3.089,P=0.013),prognostic nutritional index(OR=4.645,95％CI:2.788-7.739,P=0.001),LVEF(OR=5.177,95％CI:3.160-8.483,P=0.001),systemic immune-inflammation index(OR=5.396,95％CI:3.179-9.159,P=0.001),and preoperative di-agnosis of non-STEMI(OR=2.829,95％CI:1.356-5.901,P=0.006)or STEMI(OR=3.451,95％CI:1.596-7.463,P=0.002)were independent influencing factors for occurrence of MACE after PCI in elderly ACS patients.ROC curve analysis showed that the AUC value of the nomo-gram model for predicting MACE within 1 year after PCI in elderly ACS patients was 0.888.Con-clusion Our developed nomogram model is simple and practical,and can effectively predict the occurrence of MACE within 1 year after PCI in elderly ACS patients.And external validation should be carried out to ensure its generality.
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Objective@#To study the impact of sleep characteristics on myopia, among lower primary school students in Shanghai, so as to provide foundation for the prevention of the onset and development of myopia.@*Methods@#A total of 636 students from the first and second grades of two primary schools in Jiading District, Shanghai, were selected through cluster random sampling for questionnaire surveys and ophthalmological examinations in October 2022. The Childrens Sleep Habits Questionnaire (CSHQ) was used to assess sleep quality at baseline. Ophthalmological examinations were conducted in October 2023(479), during which the students study time, screen time and outdoor activity time were monitored for twoweek, repeated twice. Generalized multivariable Logistic regression models and linear regression models were employed to examine the association between sleeprelated factors and myopia, as well as the strength of this association.@*Results@#The baseline survey indicated a myopia prevalence of 18.58%, with 17.18% at followup. The average CSHQ total score was (51.58±4.44), and the average daily sleep duration was (9.43±4.84)h/d, with only 11.6% of participants meeting the recommended sleep sufficiency. Multivariable regression models indicated that insufficient sleep showed positive association with myopia (OR=1.64, 95%CI=1.05-2.56), while bedtime duration was significantly negative associated with myopia (OR=0.74, 95%CI=0.63-0.91, P＜0.05), adjusting for confounding factors. Inconsistency in bed rest time was a risk factor for myopia (OR=1.07, P<0.05), and the consistency of bed rest time, and wakeup time showed statistically significant correlations with SE (P<0.05). There was also statistically significant correlations between consistency in sleep time, bed rest time, and wakeup time with AL (P<0.05).@*Conclusions@#Insufficient sleep and bedtime duration are correlated with the onset and progression of myopia. It is critical to ensure sufficient sleep duration and regular sleep habits for children to reduce the occurrence of myopia in the primary school students.