diabetic cardiomyopathy (dcM) is a severe cardiovascular complication of diabetes mellitus (dM). detecting dcM during the early stages of the disease remains a challenge, as the molecular mechanisms underlying early-stage dcM are not clearly understood. circular rna (circrna), a type of non-coding RNA, has been confirmed to be associated with numerous diseases. However, it is still unclear how circrnas are involved in early-stage dcM. in the present study, heart tissues harvested from BKS-db/db knockout mice were identified through high-throughput rna sequencing technology. A total of 58 significantly differentially expressed circRNAs were identified in the db/db sample. Among these, six upregulated circRNAs and seven downregulated circRNAs were detected by reverse transcription-quantitative Pcr and analyzed using Gene ontology and Kyoto encyclopedia of Genes and Genomes. Furthermore, based on the predicted binding site with microRNAs (miRNAs) involved in DCM, five circrnas (mmu_circ_0000652, mmu_circ_0000547, mmu_ circ_0001058, mmu_circ_0000680 and novel_circ_0004285) were shown to serve as competing endogenous (ce)rnas. The corresponding mirnas and mrnas of the cernas were also verified, and two promising circRNA-miRNA-mRNA regulatory networks were determined. Finally, internal ribosome entry site prediction combined with open reading frame prediction indicated that it was highly possible that mmu_circ_0001160 encoded a protein. in the present study, a comprehensive analysis of the circRNA expression profile during the early phase of dcM was performed, and two promising circrna-mirna-mrna regulatory networks were identified. These results lay the foundation for unravelling the underlying pathogenesis of dcM, and highlight potential biomarkers and therapeutic targets for the treatment of dcM at an early stage.
A ring-width chronology of Larix gmelinii (LG) was developed in the northern Greater Khingan Mountains region of China. The response function analyses revealed that the local mean minimum temperature of January-March (T 1-3) was the most limiting factor affecting the radial growth of LG trees. Based on correlation analysis, a reconstructed T 1-3 series from 1765 to 2013 was produced using standard ring-width chronology. The reconstruction explained 41.2% of the total variance in recorded monthly mean minimum temperatures from 1960 to 2013. The reconstructed T 1-3 series had similar variability when compared with the May-September mean temperature reconstruction in Inner Mongolia (IM) and the February-March mean minimum temperature reconstruction in Yichun (YC). This reconstructed T 1-3 series also captured the severe snow disaster and cold wave events recorded from historical documents in Heilongjiang and Inner Mongolia. Spatial correlations between reconstructed series and gridded temperature data also provided a high level of confidence. In addition, significant relationships between the reconstructed T 1-3 series and the Pacific Decadal Oscillation (PDO), El Niño-Southern Oscillation (ENSO), North Atlantic Oscillation (NAO), solar activity, indicated that the T 1-3 variation might be influenced by large-scale ocean-atmosphere interactions.
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