Background: Recent studies have identified monocyte to high-density lipoprotein ratio (MHR) as a simple, practical surrogate of atherosclerosis. Considering atherosclerosis is a major mechanism of coronary heart disease (CHD). The present study aims to evaluate the association between MHR and the prevalence of CHD. Methods and results: The present cross-sectional work included 6442 participants (mean age: 59.57 years, 60.2% females), all of them were included from rural areas of northern China between October 2019 to April 2020. MHR was acquired as monocytes count divided by high-density lipoprotein concentration. Prevalent CHD researched 3.14%. After adjustment of sex, age, current drinking and smoking, BMI, WC, diabetes, hypertension, LDL-C, TG, eGFR, lipid-lowering therapy and cerebrovascular disease history, each standard deviation increase of MHR cast a 39.5% additional CHD risk. Furthermore, the top quartile of MHR had an additional 89.0% CHD risk than the bottom quartile. Besides, smooth curve fitting revealed a linear pattern of the association. Additionally, the stratified evaluation showed a robust correlation among the subgroups divided by CHD risk factors. Finally, area under the curve demonstrated an advancement when including MHR into common CHD risk factors (0.744 vs 0.761, p < 0.001). Consistently, reclassification analysis indicated the improvement from MHR (all P = 0.003). Conclusion:Our work suggests the robust and linear relationship between MHR and the prevalent CHD in a general population, providing epidemiological evidence for laboratory studies. More importantly, the findings implicate the efficacy of MHR to be a potential indicator to identify the prevalent CHD.
Ulcerative colitis (UC) is a common autoimmune disease worldwide. Circular RNA (circRNA) is a type of noncoding ribonucleic acids (ncRNAs). In addition to their roles in numerous biological processes, circRNAs are also linked to a vast range of diseases including UC. Although previous studies have examined many circRNAs, the physiological and pathological roles of the circRNA-associated competing endogenous RNA (ceRNA) network in UC remain unclear. Thus, we constructed a circRNA-miRNA-mRNA network based on the ceRNA hypothesis by analyzing data from the National Center for Biotechnology Information Gene Expression Omnibus (NCBI-GEO) database. Genes with higher degree values than others in the ceRNA network were selected as central nodes when constructing the corresponding core subnetworks. To fully understand the biological function of the ceRNA network, we entered all differentially expressed mRNAs (DEmRNAs) from the ceRNA network into the Database for Annotation and Integrated Discovery (DAVID), which was used to perform Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. We further entered DEmRNAs into the STRING database for protein-protein interaction (PPI) network analysis. The results elucidated that the ceRNA network comprised 403 circRNA nodes, 5 miRNA nodes, 138 mRNA nodes, and 559 edges. Three core ceRNA subnetworks centered on hsa-miR-342-3p, hsa-miR-199a-5p, and hsa-miR-142-3p were reconstructed in this study. GO and KEGG enrichment analyses identified 167 enriched GO categories and 14 enriched KEGG pathway terms. The core PPI network was composed of 15 core targets, of which CD44, HIF1A, and MMP2 were the most significant. In summary, 3 hub miRNAs (hsa-miR-342-3p, hsa-miR-199a-5p, hsa-miR-142-3p) and 3 hub genes (CD44, HIF1A, and MMP2) might play an important role in the development of UC. These hub nodes, first proposed here, might also be used as potential diagnostic markers and therapeutic targets.
Although data mining methods are extensively used in the rule analysis of famous old traditional Chinese medicine (TCM) experts’ prescriptions for the treatment of hypertension, most of them only mine the association between herbs and herbs, ignoring the importance of symptoms in the disease. This study collected 439 cases of hypertension treated by famous old TCM experts from the FangNet platform. Using the structure network algorithm, the symptom-herb network was constructed, which redefined the importance of herb in disease. Based on the network, 21 driver herbs, 76 herb pairs, and 41 symptom-herb associations were mined. Finally, the basic prescription composed of Gouteng (Uncariae Ramulus cum Uncis), Huanglian (Coptidis Rhizoma), Chuanxiong (Chuanxiong Rhizoma), Gegen (Puerariae Lobatae Radix), Danggui (Angelicae Sinensis Radix), and Huangqin (Scutellariae Radix) was found. These herbs are the most significant among all herbs, and they have a potential correlation with each other. To further verify the rationality of the data mining results, we adopted the network pharmacology method. Network pharmacological analysis shows that the five core targets in the basic prescription include IL6, VEGFA, TNF, TP53, and EGF, which link 10 significant active compounds and 7 important KEGG pathways. It was predicted that anti-inflammatory, antioxidant, vascular endothelial protection, emotion regulation, and ion channel intervention might be the main mechanisms of the basic prescription against hypertension. This study reveals the prescription rule of famous old TCM experts for treating hypertension from a new perspective, which provides a new approach to inherit the academic experience of famous old TCM experts and develop new drugs.
Ulcerative colitis (UC) is among the common autoimmune disease worldwide. Circular RNAs (CircRNAs) are members of the noncoding RNA family (NcRNAs), in addition to its role in numerous biological processes, they are also linked to a vast range of diseases, including UC. Although previous studies looking at many circRNAs, we are still unclear about the physiological and pathological roles of the circRNAs-associated competing endogenous RNA (ceRNA) network in UC. Based on this, we constructed a circRNA–miRNA–mRNA network based on the ceRNA theory by analyzing from the National Center for Biotechnology Information Gene Expression Omnibus (NCBI-GEO) database. Genes with higher degrees than others in the ceRNA network were selected as central nodes in constructing the corresponding core subnetworks. In order to fully comprehend the biological function of the ceRNA network, we entered all differentially expressed mRNAs (DEmRNAs) which from the ceRNA network into the Database for Annotation and Integrated Discovery (DAVID) for GO (Gene Ontology) and KEGG (Kyoto Encyclopedia of Genes and Genomes) analyses and the STRING for PPI: protein-protein interaction (PPI) network analysis, genes with the degree value > 5 were defined as the hub genes in the regulatory network. In a nutshell, the ceRNA network was composed of 403 circRNA nodes, 5 miRNA nodes, 138 mRNA nodes and 559 edges. 3 core ceRNA subnetworks centered on hsa-miR-342-3p, hsa-miR-199a-5p and hsa-miR-142-3p were reconstructed. The results elucidated that enrichment of 167 GO categories and 14 KEGG pathway terms. The core PPI network was made up of 15 core targets, of which CD44, HIF1A and MMP2 were the most significant core targets. Overall, this study offered a comprehensive and detailed analysis of the fundamental roles that the ceRNA network played in UC, the hub nodes derived from this research may also serve as diagnostic markers and therapeutic targets.
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