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Inflammaging

Id Subject Object Predicate Lexical cue
T1 0-84 Sentence denotes MicroRNA expression pattern in different stages of nonalcoholic fatty liver disease.
T2 85-101 Sentence denotes BACKGROUND/AIMS:
T3 102-261 Sentence denotes To explore the unique microRNA expression pattern of nonalcoholic fatty liver disease in a rat model, and search for targets of certain dysregulated microRNAs.
T4 262-270 Sentence denotes METHODS:
T5 271-365 Sentence denotes Microarray and stem-loop RT-PCR were utilized to detect dysregulated microRNAs in a rat model.
T6 366-536 Sentence denotes Significance Analysis of Microarray, Prediction Analysis of Microarray and clustering analysis were implemented to calculate significantly aberrantly expressed microRNAs.
T7 537-618 Sentence denotes TargetScan, miRanda and PicTar were jointly used to predict targets of microRNAs.
T8 619-627 Sentence denotes RESULTS:
T9 628-882 Sentence denotes Confirmed by Significance Analysis of Microarray and predicted by Prediction Analysis of Microarray, portfolios of 27 and 21 microRNAs were selected as an accurate molecular signature in distinguishing steatosis and steatohepatitis from normal rat liver.
T10 883-1018 Sentence denotes Besides, a panel of microRNA-target pairs that may be involved in lipid and glucose metabolism and inflammation process was delineated.
T11 1019-1030 Sentence denotes CONCLUSION:
T12 1031-1148 Sentence denotes This is by far the first report on the dysregulated microRNAs expression pattern in nonalcoholic fatty liver disease.
T13 1149-1349 Sentence denotes The successful differentiation of steatosis and steatohepatitis from normal liver hints to the potential of using lists of dysregulated microRNAs for diagnosis, though many problems need to be solved.
T14 1350-1579 Sentence denotes Besides, these data will guide further studies of the contribution of microRNAs to the pathogenesis of nonalcoholic fatty liver disease while disease-specific microRNAs might become potential targets for therapeutic intervention.
T1 0-84 Sentence denotes MicroRNA expression pattern in different stages of nonalcoholic fatty liver disease.
T2 85-101 Sentence denotes BACKGROUND/AIMS:
T3 102-261 Sentence denotes To explore the unique microRNA expression pattern of nonalcoholic fatty liver disease in a rat model, and search for targets of certain dysregulated microRNAs.
T4 262-270 Sentence denotes METHODS:
T5 271-365 Sentence denotes Microarray and stem-loop RT-PCR were utilized to detect dysregulated microRNAs in a rat model.
T6 366-536 Sentence denotes Significance Analysis of Microarray, Prediction Analysis of Microarray and clustering analysis were implemented to calculate significantly aberrantly expressed microRNAs.
T7 537-618 Sentence denotes TargetScan, miRanda and PicTar were jointly used to predict targets of microRNAs.
T8 619-627 Sentence denotes RESULTS:
T9 628-882 Sentence denotes Confirmed by Significance Analysis of Microarray and predicted by Prediction Analysis of Microarray, portfolios of 27 and 21 microRNAs were selected as an accurate molecular signature in distinguishing steatosis and steatohepatitis from normal rat liver.
T10 883-1018 Sentence denotes Besides, a panel of microRNA-target pairs that may be involved in lipid and glucose metabolism and inflammation process was delineated.
T11 1019-1030 Sentence denotes CONCLUSION:
T12 1031-1148 Sentence denotes This is by far the first report on the dysregulated microRNAs expression pattern in nonalcoholic fatty liver disease.
T13 1149-1349 Sentence denotes The successful differentiation of steatosis and steatohepatitis from normal liver hints to the potential of using lists of dysregulated microRNAs for diagnosis, though many problems need to be solved.
T14 1350-1579 Sentence denotes Besides, these data will guide further studies of the contribution of microRNAs to the pathogenesis of nonalcoholic fatty liver disease while disease-specific microRNAs might become potential targets for therapeutic intervention.