Relationship between health literacy and COVID-19 knowledge: A cross-sectional study.

Background: Health literacy (HL) is a protective factor for some chronic diseases. However, its role in the Coronavirus Disease 2019 (COVID-19) pandemic has not been clarified. This study aims to explore the association between HL and COVID-19 knowledge among residents in Ningbo. Methods: A total of 6,336 residents aged 15-69 years in Ningbo were selected by multi-stage stratified random sampling method. The "Health Literacy Questionnaire of Chinese Citizens (2020)" was used to evaluate the relationship between COVID-19 knowledge and HL. Chi-square test, Mann-Whitney U test and logistic regression were used to analyze the data. Results: The HL and COVID-19 knowledge levels of Ningbo residents were 24.8% and 15.7%, respectively. After adjusting for confounding factors, people with adequate HL were the more likely to have adequate COVID-19 knowledge compared with those with limited HL (OR = 3.473, 95% CI = 2.974-4.057, P <0.001). Compared with the limited HL group, the adequate HL group had a higher rate of COVID-19 knowledge, a more positive attitude, and a more active behavior. Conclusion: COVID-19 knowledge is significantly associated with HL. Improving HL may influence people's knowledge about COVID-19, thereby changing people's behaviors, and finally combating the pandemic.

Association of Circular RNAs levels in blood and Essential Hypertension with Carotid Plaque.

BACKGROUND: As one of the essential hypertension (EH)-mediated target organ damage, carotid plaque is a crucial subclinical precursor for cardiovascular events. Therefore, it is vital to identify the risk factors and pathogenesis for EH with carotid plaque. METHODS: Based on our previous microarray analysis, we selected four circRNAs as the candidate circRNAs and detected their expression levels in blood of 192 subjects (64 healthy controls, 64 EH patients, and 64 EH patients with carotid plaque) by qRT-PCR analysis. The regulatory mechanism of circRNAs involved in carotid plaque was predicted by bioinformatics analysis. RESULTS: The level of hsa_circ_0124782 increased significantly and the levels of hsa_circ_0131618 and hsa_circ_0127342 decreased significantly in the EH group and EH with carotid plaque group compared with the control group (P < .05). Functional enrichment analysis showed that three circRNAs might be implicated in pathogenesis for carotid plaque. CONCLUSION: Our study revealed the relationship between three circRNAs and carotid plaque, suggesting that they may serve as potential biomarkers for EH with carotid plaque.

Circulating circular RNAs as biomarkers for the diagnosis of essential hypertension with carotid plaque.

BACKGROUND: At present, no early diagnostic markers for essential hypertension (EH)-induced subclinical target organs damage (such as carotid plaque) are available. This study aimed to identify the circular RNAs (circRNAs) in EH with carotid plaques, and assess their utility as biomarkers. METHODS: First, circRNAs were identified through microarry analysis and database prediction. Second, a case-control study of EH patients with carotid plaque (n = 100) and healthy controls (n = 100) was performed to evaluate circRNAs expression in peripheral blood. Finally, receiver operating characteristic (ROC) curve was established to evaluate the diagnostic value. RESULTS: Five circRNAs (hsa_circ_0105130, hsa_circ_0109569, hsa_circ_0072659, hsa_circ_0079586 and hsa_circ_0064684) were identified as the candidate circRNAs. We found that circRNAs were increased in case group compared with controls (P < .05). The results of ROC shown that these five circRNAs, especially hsa_circ_0109569 (AUC = 0.741), all had the moderate predictive value. CONCLUSIONS: Our study revealed circulating circRNAs may act as promising noninvasive biomarkers for early detection and population screening of EH-induced subclinical target organ injury.

Construction of a circRNA-miRNA-mRNA Regulatory Network for Coronary Artery Disease by Bioinformatics Analysis.

BACKGROUND: Circular RNAs (circRNAs) were known to be related to the pathogenesis of many diseases through competing endogenous RNA (ceRNA) regulatory mechanisms. However, the function of circRNA in coronary artery disease (CAD) remains unclear. In this study, we aim to construct a circRNA-related competing endogenous RNA (ceRNA) network in CAD. METHODS: The gene expression profiles of CAD were obtained from Gene Expression Omnibus datasets. Bioinformatics analysis was performed to construct a ceRNA regulatory network, from which the hub genes involved were identified through protein-protein interaction (PPI) networks leading to the identification of the circRNA-miRNA-hub gene subnetwork. In addition, function enrichment analysis was performed to detect the potential biological mechanism in which circRNA might be involved. RESULTS: A total of 115 DEcircRNAs (differentially expressed circRNAs), 17 DEmiRNAs (differentially expressed microRNAs), and 790 DEmRNAs (differentially expressed mRNAs) were identified between CAD and control groups from microarray datasets. Functional enrichment analysis showed that DEmRNAs were significantly involved in inflammation-related pathways and ubiquitin-protein ligase binding. After identifying 20 DEcircRNA-DEmiRNA pairs and 561 DEmiRNA-DEmRNA pairs, we obtained a circRNA-miRNA-mRNA regulatory network. PPI network analysis showed that eight hub genes were closely related to CAD, leading to the identification of a circRNA-miRNA-hub gene subnetwork consisting of nine circRNAs (hsa_circ_0020275, hsa_circ_0020387, hsa_circ_0020417, hsa_circ_0045512, hsa_circ_0047336, hsa_circ_0069094, hsa_circ_0071326, hsa_circ_0071330, and hsa_circ_0085340), four miRNAs (hsa-miR-136-5p, hsa-miR-376c-3p, hsa-miR-411-5p, and hsa-miR-654-5p), and eight mRNAs (MKRN1, UBE2H, UBE2W, UBE2D1, UBE2F, BE2J1, ZNRF1, and SIAH2). In addition, we discovered these hub genes were enriched in the ubiquitin-mediated proteolysis pathway, suggesting circRNAs may be involved in the pathogenesis of CAD through this pathway. CONCLUSIONS: This study may deepen our understanding of the potential role of circRNA-miRNA-mRNA regulation network in CAD and suggest novel diagnostic biomarkers and therapeutic targets for CAD.

The potential role of RAAS-related hsa_circ_0122153 and hsa_circ_0025088 in essential hypertension.

Background: The dysregulation of renin-angiotensin-aldosterone system (RAAS) is closely related to the development of essential hypertension (EH). MicroRNAs (miRNAs) are an important regulator of RAAS. The sponge effect of circular RNAs (circRNAs) on miRNAs makes the circRNA-miRNA-mRNA axis in EH possible, however, there is currently a lack of relevant evidence.Material and Methods: A circRNA-miRNA network was constructed based on the previous circRNAs microarray results. The expression of RAAS-related miRNAs and circRNAs were verified by qRT-PCR. Peripheral blood samples of 106 EH patients and 106 healthy volunteers were included in this study. GO and KEGG enrichment were performed to predict the role of candidate circRNAs in EH.Results: In EH patients, RAAS-related hsa-miR-483-3p and hsa-miR-27a-3p were down-regulated, and hsa_circ_0122153 and hsa_circ_0025088 were up-regulated. The relative expression of RAAS-related circRNAs and target miRNAs showed a negative correlation (hsa_circ_0122153-hsa-miR-483-3p and hsa_circ_0025088-hsa-miR-27a-3p). Hsa_circ_0122153 or hsa_circ_0025088 combined with corresponding miRNAs and environmental factors may support the early diagnosis of EH. Hsa_circ_0122153 and hsa_circ_0025088 may participate in the regulation of aldosterone and the secretion of renin through the circRNA-miRNA-mRNA network, respectively.Conclusion: Highly expressed hsa_circ_0122153 and hsa_circ_0025088 increase the risk of EH. The hsa_circ_0122153/hsa-miR-483-3p and hsa_circ_0025088/hsa-miR-27a-3p axis involving RAAS were potential EH pathways.

Hsa_circ_0037897 may be a risk factor for essential hypertension via hsa-miR-145-5p.

Objectives: This study aims to investigate the association between hsa_circ_0037897 and essential hypertension (EH) and to evaluate the diagnostic value of biomarker hsa_circ_0037897 in EH. Methods: This study included 92 EH patients and 92 sex- and age- (±3 years) matched subjects as control. qRT-PCR was performed to measure the expression level of circRNA and miRNA. Logistic regression analysis model was used to assess independent association between hsa_circ_0037897 and EH. Results: The expression level of hsa_circ_0037897 in EH patients was significantly higher (p < .001) compared to the control group, while hsa-miR-145-5p had significantly lower expression(p = .002) than the control group. The area under the ROC curve (AUC) of hsa_circ_0037897 was 0.656. Furthermore, the AUC increased to 0.714 when hsa_circ_0037897 was combined with hsa-miR-145-5p, BMI and smoking. Conclusion: The present results suggested that the high expression of hsa_circ_0037897 may be a risk factor for EH, and hsa_circ_0037897 has certain diagnostic value for EH.

The microarray identification circular RNA hsa_circ_0105015 up-regulated involving inflammation pathway in essential hypertension.

BACKGROUND: Essential hypertension (EH) is an inflammatory disease, and endothelial dysfunction induced by chronic inflammation is one of the pathogeneses of EH. The expression of some inflammatory mediators may be regulated by the interaction of circular RNAs (circRNAs) and microRNAs (miRNAs). METHODS: An Agilent human circRNA microarray was used to identify the expression profile of circRNAs in EH. qRT-PCR was used to evaluate the relative expression of circRNAs in 48 pairs of human whole blood samples (sex and age ± 3 years matched) and endothelial cells. TNF-α was applied to induce endothelial cells inflammation. CircRNA-miRNA network was predicted by MiRanda software. RESULTS: There were 287 circRNAs differentially expressed in the microarray. The top 10 up-regulated circRNAs in the EH group were hsa_circ_0014243, hsa_circ_0133228, hsa-circRNA14116-3, hsa_circ_0079536, hsa-circRNA13649-1, hsa_circ_0117886, hsa_circ_0007075, hsa-circRNA15285-1, hsa-circRNA10088-9, and hsa-circRNA14119-10; the top 10 down-regulated circRNAs were hsa_circ_0100094, hsa_circ_0127342, hsa_circ_0093773, hsa_circ_0096334, hsa_circ_0131618, hsa_circ_0063886, hsa_circ_0097804, hsa_circ_0126640, hsa-circRNA8935-1, and hsa_circ_0039978 (fold change in descending order). Hsa_circ_0105015 has two predicted binding sites with hsa-miR-637. The relative expression of hsa_circ_0105015 in EH patients was significantly higher than healthy controls (P = .002), and similar results appeared in TNF-α-induced endothelial cells. The area under the curve after hsa_circ_0105015 combined with hsa-miR-637 was 0.703, P < .001. CONCLUSION: Hyperexpression of hsa_circ_0105015 is a significant risk factor of EH and its association with EH involves inflammatory pathways. Hyperexpression of hsa_circ_0105015 combined with hypoexpression of hsa-miR-637 indicates vascular inflammation or endothelial dysfunction and has potential as a biomarker for early diagnosis of EH.