No abstract

Background. Long noncoding RNAs (lncRNAs) play important roles in the tumorigenesis and progression of various cancer types; however, their roles in the development of invasive pituitary adenomas (PAs) remain to be investigated. Methods. lncRNA microarray analysis was performed for three invasive and three noninvasive PAs. Gene Ontology (GO) enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis were performed, and coexpression networks between lncRNA and mRNA were constructed. Furthermore, three differentially expressed lncRNAs were selected for validation in PA samples by real-time quantitative reverse transcription polymerase chain reaction (qRT-PCR). The diagnostic values of these three lncRNAs were further evaluated by a receiver operating characteristic (ROC) curve analysis. Results. A total of 8872 lncRNAs were identified in invasive and paired noninvasive PAs via lncRNA microarray analysis. Among these, the differentially expressed lncRNAs included 81 that were upregulated and 165 that were downregulated. GO enrichment and KEGG pathway analysis showed that these differentially expressed lncRNAs were associated with the posttranslational modifications of proteins. Furthermore, we performed target gene prediction and coexpression analysis. The interrelationships between the significantly differentially expressed lncRNAs and mRNAs were identified. Additionally, three differentially expressed lncRNAs were selected for validation in 41 PA samples by qRT-PCR. The expression levels of FAM182B, LOC105371531, and LOC105375785 were significantly lower in the invasive PAs than in the noninvasive PAs ( P < 0.05 ). These results were consistent with the microarray data. ROC curve analysis suggested that the expression levels of FAM182B and LOC105375785 could be used to distinguish invasive PAs from noninvasive PAs. Conclusion. Our findings demonstrated the expression patterns of lncRNAs in invasive PAs. FAM182B and LOC105375785 may be involved in the invasiveness of PAs and serve as new candidate biomarkers for the diagnosis of invasive PAs.

Background : Diabetes mellitus (DM) and thyroid dysfunction (TD) are two closely associated disorders. The coexistence of TD could adversely influence metabolic control and even increase the long-term mortality in patients with DM. The objective of the present study was to investigate the prevalence and risk factors of TD in patients with type 2 DM (T2DM). Methods : This is an observational cross-sectional study. A total of 340 patients with newly diagnosed T2DM who were admitted to ward of endocrinology department were included for analysis. Thyroid function was examined and its relationship with demographic, metabolic and diabetes-related parameters were evaluated Results : The prevalence of TD was 21.2% in the total population. The low T3 syndrome was the most frequent TD, in 14.7% of patients. Low FT3 level was associated with diabetic complications including presence of diabetic ketosis (DK) or diabetic ketoacidosis (DKA) (r = -0.388, P ≤ 0.001) and microalbuminuria (r = -0.302, P ≤ 0.001). Metabolic and demographic factors, including age, glycemic control and insulin resistance also correlated with levels of thyroid hormones. DK or DKA (OR = 6.161, P ≤ 0.001) and microalbuminuria (OR = 3.950, P = 0.002) were risk factors of low T3 syndrome. Conclusion : TD is not rarely seen in patients with newly diagnosed T2DM. Diabetic complications and diabetes-related metabolic and demographic factors are related to the presence of TD.

Background : Diabetes mellitus (DM) and thyroid dysfunction (TD) are two closely associated disorders. The coexistence of TD could adversely influence metabolic control and even increase the long-term mortality in patients with DM. The objective of the present study was to investigate the prevalence and risk factors of TD in patients with type 2 DM (T2DM). Methods : This is an observational cross-sectional study. A total of 340 patients with newly diagnosed T2DM who were admitted to ward of endocrinology department were included for analysis. Thyroid function was examined and its relationship with demographic, metabolic and diabetes-related parameters were evaluated Results : The prevalence of TD was 21.2% in the total population. The low T3 syndrome was the most frequent TD, in 14.7% of patients. Low FT3 level was associated with diabetic complications including presence of diabetic ketosis (DK) or diabetic ketoacidosis (DKA) (r = -0.388, P ≤ 0.001) and microalbuminuria (r = -0.302, P ≤ 0.001). Metabolic and demographic factors, including age, glycemic control and insulin resistance also correlated with levels of thyroid hormones. DK or DKA (OR = 6.161, P ≤ 0.001) and microalbuminuria (OR = 3.950, P = 0.002) were risk factors of low T3 syndrome. Conclusion : TD is not rarely seen in patients with newly diagnosed T2DM. Diabetic complications and diabetes-related metabolic and demographic factors are related to the presence of TD.