ABSTRACT
Severe pneumonia related to human adenoviruses (HAdVs) has a high lethality rate in children and its early diagnosis and treatment remain a major challenge. Circular RNAs (circRNAs) are novel long noncoding RNAs that play important roles in gene regulation and disease pathogenesis. To investigate the roles of circRNAs in HAdV pneumonia, we analyzed the circRNA profiles of healthy children and children with HAdV pneumonia, including both mild and severe cases, and identified 139 significantly upregulated circRNAs in children with HAdV pneumonia vs healthy controls and 18 significantly upregulated circRNAs in children with severe HAdV pneumonia vs mild HAdV pneumonia. In particular, hsa_circ_0002171 was differentially expressed in both groups and might thus be useful as a diagnostic biomarker of HAdV pneumonia and severe HAdV pneumonia. To identify the underlying mechanisms of circRNAs in HAdV pneumonia, we analyzed the transcriptome of children with HAdV pneumonia and established a circRNA-mRNA regulatory network. Enrichment analysis of differentially expressed target mRNAs demonstrated that the differentially expressed genes between healthy controls and HAdV pneumonia patients were mainly involved in RNA splicing while the differentially expressed genes between children with mild and severe HAdV pneumonia were mainly involved in regulating lymphocyte activation. Receiver operating characteristic (ROC) curve analysis suggested that hsa_circ_0002171 had a significant value in the diagnosis of HAdV pneumonia and of severe HAdV pneumonia. Taken together, the circRNA expression profile was altered in children with HAdV pneumonia. These results demonstrated that hsa_circ_0002171 is a potential diagnostic biomarker of HAdV pneumonia.
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Objective:Our previous micro-array study revealed that long non-coding RNA (lncRNA), such as ENST00000538790 and NR_125790, were differently expressed in parathyroid carcinoma compared with those in parathyroid adenoma. Diagnostic value of lncRNAs (ENST00000538790 and NR_125790) and scoring models derived from these lncRNAs in parathyroid carcinoma were investigated in this study.Methods:Fifty-seven fresh tissue samples from patients with hyperparathyroidism were collected. Eleven patients were diagnosed with parathyroid carcinoma, while 46 patients were found with parathyroid adenoma. The expression levels of five lncRNAs (ENST00000511928, ENST00000538790, ENST00000618339, NR_125790, and ENST00000485384) were detected with realtime quantitative PCR (RT-qPCR). LncRNA scores were calculated using these lncRNAs, and their value in parathyroid carcinoma diagnosis were also assessed.Results:It was found that expression levels of ENST00000511928 and ENST00000538790 were up-regulated in parathyroid carcinoma compared with parathyroid adenoma ( P<0.05), while the levels of ENST00000618339, NR_125790, and ENST00000485384 were decreased in parathyroid carcinoma ( P<0.05). Among these lncRNAs, ENST00000538790 and NR_125790 were independent risk factors for parathyroid carcinoma ( P<0.05). Hence, "log score" and "logistic score" were calculated with ENST00000538790 and NR_125790 levels. The areas under the receiver operating characteristic curve for "log score" and "logistic score" were up to 0.935 and 0.943 respectively in parathyroid carcinoma ( P<0.05), and were found to be greater than those from single lncRNA or classic clinical indices, such as serum calcium ( P<0.05). Conclusion:LncRNA scores with lncRNA ENST00000538790 and NR_125790 may play potential role in diagnosis of parathyroid carcinoma.
ABSTRACT
Chronic myeloid leukemia（CML）is a common hematological malignancy. Although tyrosine kinase inhibitors（TKIs）have greatly improved the prognosis of CML patients，there are still several defects with TKI treatment including TKI resistance, toxic effects causing intolerance, etc. MicroRNA（miRNA） is a class of non-coding, single-stranded and small RNAs which encoded by endogenous genes and are about 19 to 24 nucleotides in length. miRNAs are closely related to the occurrence，development and prognosis of various tumors. In recent years，many studies have focused on the relationship betweenmiRNA and CML. In this paper，we review therelationship between miR-139-5p，miR-320a，miR-362-5p，miR-126， miR-199a/b-5p，miR-451 and CML .
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Objective To determine the expression level of microRNA-21 (miR-21) in serum exosomes of patients with different severities of asthma, and to explore the diagnostic value. Methods A total of 82 patients with asthma who did not received any treatment and 80 healthy control volunteers were enrolled in this study. The asthma cases were divided into four groups according to the severity of asthma, including intermittent group (n=20), mild sustained group (n=22), moderate sustained group (n=22), and severe sustained group (n=18). Expression levels of miR-21 were determined using qPCR and the differences were compared among the five groups. Spearman correlation analysis was used to analyze the correlation between miR-21 expression level and severity of asthma. The receiver operating characteristic (ROC) curve was used to evaluate the diagnosis performance of miR-21 expression level in serum exosomes for different severities of asthma. Results The expression levels of miR-21 were significantly higher in the intermittent, mild sustained, moderate sustained and severe sustained groups than that in the healthy control group (all P<0.01). The difference of miR-21 expression level was statistically significant between the intermittent, mild sustained, moderate sustained and severe sustained groups (all P<0.01). Spearman correlation analysis showed that the relative expression level of miR-21 in serum exosomes was positively correlated with the severity of asthma (r=0.974, P=0.016 7). The areas under ROC curve of exosome miR-21 for diagnosing intermittent, mild sustained, moderate sustained and severe sustained asthma were 0.657, 0.769, 0.847 and 0.916, respectively (all P<0.01). Conclusion The expression level of miR-21 in serum exosomes is effective in diagnosing different severities of asthma, and miR-21 in serum exosomes may be a new non-invasive biomarkers.
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Objective To observe the expression level and diagnosis performance of serum exosomal miR-21 in lung cancer. Method Sera of 94 lung cancer patients,29 pulmonary tuberculosis patients,and 26 healthy controls from Nan Fang Hospital were collected. Exosomes in serum were purified and characterized ,and miRNA was abstracted from exosomes. Levels of exosomal miR-21 in three groups were compared with relative quantitative RT-PCR. Diagnosis performance of exosomal miR-21 was evaluated by ROC curve. Results Purified serum exosome sample possesses typical exosome features. There were significant difference among exosomal miR-21 levels from lung cancer ,tuberculosis ,and health control group. Exosomal miR-21 obviously increased in lung cancer patients,and decreased in tuberculosis patients. Exosomal miR-21 were increased in early and late stage lung cancer patients. The diagnostic performance of exosomal miR-21 was evaluated by ROC curve. Its area under the curve was 0.702 and specificity was 0.923. Conclusions Serum exosomal miR-21 was increased in many kinds of lung can-cer patients. It possesses excellent diagnosis performance ,which may be developed as new biomarkers to assist lung diagnosis.
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Objective To identify specific miRNAs from the differentially expressed miRNAs as diagnose marker for colorectal cancer (CRC). Methods The expression levels of miRNAs in CRC and the adjacent tissues were detected by qRT-PCR and the candidate miRNAs with statistic significance were selected. Receiver-operating-characteristic curve was performed to analyse the specificity and sensitivity of miR-4770. Results A total of 102 significantly dysregulated miRNAs were identified , and 92 of them were down-regulated , 10 of them were up-regulated. The specificity of miR-4770 to discriminate moderated differentiated CRC from adjacent normal tissues was 71.43%, with the sensitivity of 95.24% and area under cure of 0.952 4. Conclusion miR-4770 can be potentially served as a diagnostic and prognostic biomarker for CRC.