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Objective To investigate the effects of intraperitoneal injection of islet amyloid polypeptide (IAPP) on the expression profiles of circular RNAs (circRNAs) and messenger RNAs (mRNAs) in the brain tissue of Alzheimer's disease (AD) mice and wild-type (WT) mice. Methods Six 10-month-old male APP/PS1 transgenic AD model and C57 WT mice (20~30 g) were employed in this study. They were randomly divided into 2 groups, and further assigned into AD+IAPP (AD mice with IAPP intraperitoneal injection), WT+IAPP (WT mice with IAPP intraperitoneal injection), AD+PBS (AD mice injected with same dose of PBS intraperitoneally) and WT+PBS (WT mice with intraperitoneal injection of PBS) groups (n=3). After the intervention, total RNA was extracted from the brain tissue of 4 groups of mice, and gene chip sequencing was performed to screen differentially expressed circRNAs and mRNAs between AD+IAPP and WT+IAPP mice and between AD+PBS and WT+PBS mice. Among the differentially expressed circRNAs between AD+IAPP and WT+IAPP mice, 6 circRNAs were selected and subjected to real-time quantitative polymerase chain reaction (qRT-PCR) to verify the reliability of the microarray results. Gene ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomics (KEGG) pathway enrichment analysis were performed on the differentially expressed mRNAs. Subsequently, a competitive endogenous RNA (ceRNA) network was constructed for significantly differentially expressed circRNA_45921. Results There were 237 circRNAs significantly differentially expressed between AD+IAPP and WT+IAPP mice, of which 157 were up-regulated and 80 were down-regulated. Totally 663 significantly differentially expressed mRNAs were found, including 348 up-regulated and 315 down-regulated. The results of qRT-PCR showed that the differential expression of 6 circRNAs was consistent with the results of gene chip, indicating that the results of gene chip sequencing were reliable. GO enrichment analysis revealed that differentially up-regulated mRNAs were significantly enriched in nucleoside phosphate binding, organelles and metabolism processes of phosphate containing compounds. The differentially down-regulated mRNAs were significantly enriched in transmembrane signal receptor activity, supramolecular fibers and tissue development. KEGG enrichment analysis indicated that differentially upregulated mRNAs were mainly enriched in signal pathways such as insulin secretion, oxidative phosphorylation, and Parkinson's disease, while those down-regulated ones in signal pathways such as neuroactive ligand receptor interactions, calcium signaling pathways, tyrosine metabolism and phenylalanine metabolism. CeRNA network displayed that the circRNA_45921/miR-34c-5p/Eef2k regulatory network may play a role in the functioning of IAPP. Conclusion Intraperitoneal injection of IAPP alters the expression profiles of circRNA and mRNA in the brain tissues of AD mice and WT mice. Differentially expressed Paip2, Cdon, Ttr, and circRNA_45921/miR-34c-5p/Eef2k regulatory network may have regulatory roles in IAPP regulating the development of AD.

Copyright of Acta Agronomica Sinica is the property of Crop Science Society of China and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

BACKGROUND: Primary knee osteoarthritis is one of the most common chronic diseases among the elderly, which brings a heavy burden on society and families. Current clinical treatments only focus on surgeries such as total knee replacement, but it is difficult to prevent cartilage tissue degeneration at an early stage. The formation mechanism of knee osteoarthritis, especially the influence of inflammation in disease progression, has been reported to some extent, but its specific mechanism is still unclear. OBJECTIVE: To investigate the differentially expressed circRNA sites of primary knee osteoarthritis and rheumatoid arthritis and their effects on the pathogenesis of the disease. METHODS: In this study, we collected the synovial tissues from eight patients with primary knee osteoarthritis and two patients with rheumatoid arthritis (control group). The expression profile of circRNAs in the tissue was detected by RNA-seq technique, trying to find the differentially expressed genes and key biological function pathways. RESULTS AND CONCLUSION: Compared with patients with rheumatoid arthritis, 185 differentially expressed circRNAs were detected in patients with knee osteoarthritis, of which 14 were up-regulated and 171 were down-regulated. Through the pathway enrichment and functional annotation of these target genes, a variety of enrichment pathways were identified, including protein H3-K36 dimethylation, glycosphingolipid biosynthesis process, and positive regulation of Toll-like receptor 9 signaling pathway. Based on the above sequencing results, a circRNA-miRNA interaction network was created, contributing to understanding the effect of differentially expressed circRNAs. In this study, we determined the differential expression of inflammation-related circRNAs in synovial tissue and the control group. These differentially expressed transcripts may elucidate the effect of circRNA and its relationship network in synovial tissue on the progression of osteoarthritis. Findings from this study will be helpful to explore the pathogenesis and key therapeutic targets of osteoarthritis. [ABSTRACT FROM AUTHOR]

CircRNAs can reduce the inhibitory effect of miRNA on other target RNAs and indirectly regulate its expression level by competitive binding of small RNAs to miRNAs. This competitive relationship represents a novel gene regulation mechanism that plays an important role in cancer physiology and development. Using the bioinformatics method, we reannotated the gene expression profile and circRNA probe profile. With the miRNA target information predicted by the MiRanda algorithm,we constructed a competitive endogenous RNAs network and found five important modules related to the disease. The relations of the two ceRNAs, i.e. CD74 and hsacirc0001320 mediated by hsa-miR-17-3p and PAPSS2 and hsa_circ_0000077 mediated by hsa-let-7a-2-3p, play an important role in regulating the degeneration of intervertebral disc and thus become a potential clinical marker. Further, we predicted the biological functions of the two circRNAs by annotating the function of the target gene, which was significantly related to the inflammatory reaction of the intervertebral disc and bone development. It provides basis for clinical gene detection to predict disease and drug target therapy, as well as ideas for scientific research of intervertebral disc disease. [ABSTRACT FROM AUTHOR]

Copyright of Chinese Journal of Tissue Engineering Research / Zhongguo Zuzhi Gongcheng Yanjiu is the property of Chinese Journal of Tissue Engineering Research and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Objective To screen out the differential expression circRNA in peripheral blood of patients with aortic regurgitation and left ventricular enlargement. Methods Four patients with aortic regurgitation complicated with left ventricular enlargement (observation group) and four patients with aortic valve regurgitation without left ventricular enlargement (control group) were selected. Their fasting venous blood was taken to detect the circRNAs by high throughput circRNA chip technique, and differentially expressed circRNAs between the two groups were screened out. Target Scan ant miRanda software were used to predict the circRNAs which were associated with miRNA-233 related to myocardial remodeling. Results Compared with the control group of fluorescence signal intensity, 158 circRNAs were differentially expressed, with fold change values> 2 ( P < 0. 05) including 21 circRNAs' fold change values > 5, meanwhile, 105 were down-regulated and 53 were up-regulated. There were binding sites between hsa-circRNA-102898, hsa-circRNA-101661, hsa-circRNA-103740 and miRNA-233 of 158 differentially expressed circRNAs. Conclusions Compared with patients with aortic regurgitation without left ventricular enlargement, there are 158 differentially expressed circRNAs in peripheral blood of patients with aortic regurgitation and left ventricular enlargement. Twenty-one circRNAs, such as hsa-circRNA-103245, hsa-circRNA-104014, hs-circRNA-102617, and hsa-circRNA-103421 are significantly different. Totally 158 differential expressed circRNAs may be associated with the occurrence and development of left ventricular enlargement with aortic regurgitation. The hsa-circRNA-102898, hsa-circRNA-101661, and hsa-circRNA-103740 may regulate left ventricular enlargement by binding to miRNA-233 site. [ABSTRACT FROM AUTHOR]

To explore the regulatory mechanisms of the competing endogenous RNA (ceRNA) network associated with colorectal cancer (CRC) and to find potential targets for CRC treatment, The CRC-related circRNA datasets were downloaded from the Gene Expression Omnibus (GEO) database, differentially expressed circRNAs were screened using the robust rank aggregation (RRA) algorithm and weighted gene co-expression network analysis (WGCNA) analysis. Real-time fluorogenic quantitative PCR (RT-qPCR) was used to verify that screened circRNAs (hsa_circRNA_057090, hsa_circRNA_092566) were circular and both highly expressed in CRC tissues and CRC cell lines. And miRNAs bound to circRNAs were predicted on the circBank and CircInteractome databases. Target genes of miRNAs were predicted on the TargetScan and miRDB databases, differentially expressed mRNAs in CRC were screened on The Cancer Genome Atlas (TCGA) databases, after intersection, differentially expressed target genes were recognized. Then, the ceRNA regulatory network was constructed. Gene ontology (GO) enrichment analysis and Kyoto encyclopedia of genes and genomes (KEGG) enrichment analysis, protein interaction network construction, and survival analysis were performed on target genes using DAVID software, String database, Cytoscape software, and Gene Expression Profiling Interactive Analysis (GEPIA) database, respectively. Ten core genes were identified from PPI network containing 427 mRNAs. Finally, the circRNA-miRNA-coregene network was constructed. GO enrichment analysis and KEGG enrichment analysis showed that core genes were mainly involved in chemical synaptic transmission, ion transmembrane transport and were significantly enriched in several signaling pathways, such as cAMP. Survival analysis showed that the expression levels of two core genes SNAP25, ATP2B2 were significantly correlated with the prognosis of CRC patients. The hsa&lowbar;circRNA&lowbar;057090, hsa&lowbar;circRNA&lowbar;092566 identified and ceRNA network constructed might provide novel biomarkers or potential therapeutic targets for CRC. [ABSTRACT FROM AUTHOR]

Copyright of Chinese Journal of Cancer Biotherapy is the property of Editorial Office of Chinese Journal of Cancer Biotherapy and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Practical Oncology Journal is the property of Journal of Practical Oncology Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Chinese Journal of Tissue Engineering Research / Zhongguo Zuzhi Gongcheng Yanjiu is the property of Chinese Journal of Tissue Engineering Research and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Objective To predict circＲNAs and target genes for 11 differentially expressed miＲNAs including miＲ-21，miＲ-26a， miＲ-29a，miＲ-29b，miＲ-30e，miＲ-34c，miＲ-133a，miＲ-145，miＲ-210，miＲ-489 and miＲ-1297 in the serum specimens of osteogenesis imperfecta ( OI) patients． Methods The Starbase software was used to predict the related circＲNAs of the eleven differentially expressed miＲNAs，and the frequency distribution of miＲNA-circＲNA was analyzed and the network analysis was conducted by Cytoscape software to find the core elements． Using the miＲWALK software，the target genes of the eleven differentially expressed miＲNAs were predicted，the target genes of miＲWALK were obtained by frequency distribution analysis and Cytoscape DAVID software to find the core molecule using network analysis． Ｒesults A total of 222 circＲNAs were predicted by the Starbase software for these 11 miＲNAs and 141 of them belonged to non-overlapping circＲNAs． Among them，MIB1_hsa_circ _000886，MIB1_hsa_circ_002013，CPNE1 _hsa_circ_000657 CYP4F3 _hsa_circ_001395 and KIAA1586 _hsa_circ_001439 were found to interact with four kinds of miＲNAs． Another 14 circＲNAs were found to interact with three kinds of miＲNAs． MiＲWALK software predicted that the target genes of CNOT6，ELF2 and NAV3 were closely interacted with corresponding differentially expressed miＲNAs of OI． MiＲ-133a \ miＲ-145 was identified to interact with YES1 gene and circＲNA FAT1_hsa_circ_000713 and LMNB2_hsa_circ_001499． MiＲ-29a \miＲ-29b \miＲ-133a interacted with PPP2CA gene and KIAA1586_hsa_circ_001439 circＲNA． MiＲ-145 \miＲ-26a interacted with NTN4 and SＲGAP1 genes and ＲFC1_hsa_circ_001649 circＲNA． Conclusion In this study， we analyzed differentially expressed miＲNAs of OI and their corresponding circＲNAs and target genes． Meanwhile，the network interaction among miＲNAs，circＲNAs and target genes as well as signaling pathways were also analyzed． The study laid the foundation for the further interaction analysis of miＲNAs，circＲNAs and target genes． [ABSTRACT FROM AUTHOR]

Objective To investigate the differential expressions of circRNAs (circRNAs) and microRNAs (miRNAs) in testicular tissues of high-fat diet-induced rat models with obesity・ Methods Rat models with obesity were induced and established by high-fat diet. The histopathological changes of their testicular tissue were observed by HE staining and microscope・ Their sperm concentration, motility, DFI and CMA3 + were respectively measured. Differential expressions of circRNAs and miRNAs in testicular tissues of rat models with obesity were analyzed by high-throughput sequence・ The main biological processes of the identified differential circRNAs and miRNAs were obtained by GO and KEGG analysis. Finally, circRNA-miRNA-mRNA network was constructed. Results Significant changes in testicular tissue structure of rat models with obesity were observed compared with the normal controls. Sperm concentration and motility were obviously decreased (P <0.05), whereas DFI and CMA3 + were significantly increased (P < 0. 05)・ Total of 32 differential circRNAs and 4 differential miRNAs were identified, and these differential cicRNAs and miRNAs may be associated with obesity-cuased male reproductive disorders through Wnt signaling pathway, TNF signaling pathway and insulin secretion* CircRNAs and miRNAs with significant differences and targeting relationships were as follows: novel_circ_0003226/mo-niiR-3544, novel_ circ_0015575/mo-miR-9a-5p, and circRNA-miRNA-mRNA networks were finally constnicted. Conclusion There are differentially expressed circRNAs and miRNAs in testicular tissues of obese rats, and these difierential genes may regulate obesity-caused reproductive disorders through circRNA-miRNA-mRNA network. [ABSTRACT FROM AUTHOR]

Copyright of Chinese Journal of Tissue Engineering Research / Zhongguo Zuzhi Gongcheng Yanjiu is the property of Chinese Journal of Tissue Engineering Research and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Shandong Medical Journal is the property of Shandong Medical Health Newspapers and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Chinese Journal of Tissue Engineering Research / Zhongguo Zuzhi Gongcheng Yanjiu is the property of Chinese Journal of Tissue Engineering Research and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

As a chronic metabolic bone disease, osteoporosis is characterized by hidden disease progression, which often leads to relatively delayed diagnosis of the disease. Therefore, early screening for osteoporosis has become a major public health challenge. Studies have shown that circRNAs are involved in the regulation of bone metabolism and are closely related to the occurrence and development of osteoporosis. Based on their high sequence conservation and stability, circRNAs can be used as new potential clinical biomarkers. Biomarker studies are generally taken from body fluid samples or adjacent tissue samples, among which blood is the most commonly nsed, which can be specifically divided into serum, plasma, peripheral blood monocytes, plasma exosomes and other sonrces. This article reviews the research status of circRNAs as biomarkers for osteoporosis. [ABSTRACT FROM AUTHOR]

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Objective To explore the differential expression and functional analysis of circRNA from myocardial mitochondria in diabetes cardiomyopathy（DCM） mice. Methods The DCM mice model was established in 16-week-old db/db mice, and C57BL/KsJ mice were used as controls. RNA was extracted from the myocardium of two groups of mice, high-throughput sequencing was used to screen mitochondrial circRNA differentially expressed in the two groups, RT-qPCR was used to verify the sequencing results of the first 10 circRNAs with significant differential expression, and functional enrichment analysis was performed on the differentially expressed circRNA target genes, and miRNA target prediction software was used to analyze the circRNA-miRNA co-expression network. Results There were 147 mitochondrial circRNAs differentially expressed in the myocardium of DCM mice, including 89 highly expressed and 58 low expressed. The expression pattern of differentially expressed circRNAs in tissues was consistent with those of sequencing results. The enrichment analysis of GO and KEGG showed that the differentially expressed circRNA target genes were mainly enriched in cGMP/PKG, glucagon pathways, which were related to mitochondrial energy metabolism and cardiac hypertrophy. circRNA-miRNA co-expression analysis found that the most significantly up-regulated circRNA, chrM:1207-1536+, was associated with miR-491-3p, miR-99a-3p, and miR-99b-3p, and the most significantly down-regulated circRNA, chrM:1453-3205+, was associated with miR-181b-1-3p, miR-181b-2-3p, and miR-672-5p. Conclusion Compared to the control mice, there is differential expression of circRNAs in myocardial mitochondria of DCM mice. The differentially expressed circRNAs may interact with the corresponding miRNA to affect myocardial fibrosis and hypertrophy through regulation of energy metabolism, apoptosis and other pathways, thus participating in the pathogenesis of DCM. [ABSTRACT FROM AUTHOR]

Copyright of Tianjin Medical Journal is the property of Tianjin Medical Journal and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of China Medical University is the property of Journal of China Medical University Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Chinese Journal of Tissue Engineering Research / Zhongguo Zuzhi Gongcheng Yanjiu is the property of Chinese Journal of Tissue Engineering Research and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Chinese Journal of Tissue Engineering Research / Zhongguo Zuzhi Gongcheng Yanjiu is the property of Chinese Journal of Tissue Engineering Research and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Cancer Research on Prevention & Treatment is the property of Cancer Research on Prevention & Treatment Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Objective To find any differentially expressed circRNAs in oral leukoplakia (OLK) and oral lichen planus (OLP), to investigate the possible role of circRNAs in the pathogenesis of these two diseases. Methods This study obtained hospital ethical approval. High-throughput sequencing was used to detect differentially expressed circRNAs in OLK, OLP, oral squamous cell carcinoma and normal oral mucosal tissues. CircRNAs were verified by qRT-PCR, enzyme tolerance assays and Sanger sequencing. GO functional analysis and KEGG pathway analysis were performed to predict the functions of circRNAs in OLP. TargetScan and miRanda were applied to predict targeted miRNAs and mRNAs of circRNAs, and ceRNA networks were mapped. Results A total of 49 circRNAs were differentially expressed in OLK and OLP together, including 30 upregulated and 19 downregulated circRNAs. The five circRNAs confirmed with RT-qPCR, including circHLA-C, circRNF13, circTTN, circSEPN2 and circALDH3A2, were all abnormally expressed in OLK and OLP, among which circHLA-C was a key circRNA with trans splice sites, which was validated by expanding the sample size. ROC curve analysis showed that the area under the circHLA-C curve for predicting OLK was 0.955, and the area under the circHLA-C curve for predicting OLP was 0.988. GO functional analysis showed enrichment of many biological processes related to the immune process. The KEGG pathway with the highest enrichment score was "Natural killer cell mediated cytotoxicity". HLA-C was significantly enriched in these processes/pathways. CeRNA network analysis showed that circHLA-C interacted with a variety of miRNAs, such as hsa-miR-26a-5p, hsa-miR-129-5p, and hsa-miR-29a-3p. Conclusion Many circRNAs were differentially expressed in both OLK and OLP, circHLA-C being the most elevated. CircHLA-C is valuable for the early diagnosis of OLK and OLP and may serve as a potential biomarker for the diagnosis and prognosis of OLK and OLP.

Copyright of Chinese Journal of Tissue Engineering Research / Zhongguo Zuzhi Gongcheng Yanjiu is the property of Chinese Journal of Tissue Engineering Research and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Shandong Medical Journal is the property of Shandong Medical Health Newspapers and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Objective To investigate the expression levels of circRNAs in peripheral blood leucocytes and identify the correlation of circRNAs and inflammation factors in type 2 diabetes mellitus (T2DM) patients. Methods The fresh blood samples of 5 patients with T2DM and 5 healthy controls were collected for RNA sequencing (RNAseq). The peripheral blood from 62 patients with T2DM, 56 age-and gender-matched healthy controls (collected at the Beijing Hospital from June 2017 to December 2017) were chosen and collected. Then RNA of peripheral leukocytes was extracted and performed with reverse transcription PCR to detect the level of circRNA. The protein levels of interleukin 6 (IL-6), C-reactive protein (CRP) and tumor necrosis factor (TNF)-α inflammatory factors were detected by enzyme-linked immunosorbent assay. The correlation of circRNA level and the inflammatory factor level was identified. Data were analyzed using Mann-Whitney test, Student's t-test and Pearson correlation accordingly. Results A total of 970 circRNAs were found to be differentially expressed in T2DM patients compared with the normal individuals (428 circRNAs were significantly up-regulated, 542 circRNAs were significantly down-regulated). The high expression level of hsa_circ_0007240 was further identified in the RNAseq samples. The basic RNA level of hsa_circ_0007240 in peripheral leukocytes was also significantly higher in T2DM patients compared to healthy controls in large sample test (Z=-3.422, P<0.001). The protein levels of IL-6, CRP and TNF-α were also significantly different between T2DM group and control group [(12.33±3.96) vs (9.72±2.92) μg/L, (13.34±3.99) vs (9.91±2.75) μg/L, (18.37±4.64) vs (13.73±3.07) μg/L, t=2.370, 3.167, 3.731, respectively, all P<0.05]. The expression level of hsa_circ_0007240 was positive correlated with IL-6 (r=0.596, P=0.006). Conclusion The expression level of hsa_circ_0007240 is significantly up-regulated and positive correlated with IL-6 inflammatory factor in peripheral blood leucocytes T2DM patients. Hsa_circ_0007240 can be used as potential biomarker of inflammatory T2DM. [ABSTRACT FROM AUTHOR]

Copyright of Chinese Journal of Tissue Engineering Research / Zhongguo Zuzhi Gongcheng Yanjiu is the property of Chinese Journal of Tissue Engineering Research and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Large amounts of circRNAs (circular RNA) exist in mouse spermatogenesis. However, their deriving sources and functions are unclear. The present study adopted bioinformatical methods to analyze circRNA in five stages of spermatogenesis ( spermatogonial stem cells, primitive type A spermatogonia, preleptotene spermatocytes, pachytene spermatocytes, and round spermatids), and identified over 30 000 circRNAs. Sequence analysis revealed the enrichment of reverse complementary repeated sequences in the flanking introns of circRNAs, including not only the reported SINE/Alu sequences, but also SINE/B2, SINE /B4, LINE/L1, LTR/ERVL-MaLR, and LTR/ ERVK, suggested that multiple classes of reverse complement sequences might be involved in circRNA formation during spermatogenesis. Quantitative analysis and differential expression analysis using sailfish-cir and maSigPro revealed 409 differentially expressed circRNAs in sperm cells of five development stages, and their deriving genes were enriched in functional categories closely related to spermatogenesis. Further analysis revealed that 137 potential circRNA-miRNA interactions existed in differentially expressed circRNA. Moreover, 93% of the circRNA sequences derived from the spermatogenesis-related genes contained translation-related m6A motifs, indicating their potential to generate polypeptides. Besides, it was found that many circRNAs had predicted binding site of RNA binding proteins (RBPs), strongly suggesting that circRNA could also have the potential to serve as " RBP sponge", in addition to its known role of miRNA sponge. [ABSTRACT FROM AUTHOR]

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Copyright of Journal of New Medicine is the property of Sun Yat Sen University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Shandong Medical Journal is the property of Shandong Medical Health Newspapers and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Gastric cancer has become a major public health problem in China because of its high prevalence. CircRNA could stably exist in various human body fluids, providing the innate advantage for the liquid biopsy, which makes it a research hotspot in the field of precision therapy in recent years. Based on the biological characteristics of circRNAs, we summarize the research progress of circRNAs in the early diagnosis, treatment monitoring and prognosis assessment of gastric cancer through literature retrieval in mainstream databases such as PubMed, Web of Science and CNKI. We also discuss the possibility and reliability of circRNA as an emerging liquid biopsy biomarker, to offer a vision for the development and clinical transformation of circRNA as a molecular marker of the diagnosis, treatment, evaluation and prognosis of gastric cancer in the future.

Objective To identify the potential circRNA-miRNA-mRNA regulatory networks in Wilms tumor (WT) based on high-throughput RNA sequencing technology and bioinformatics analysis. Methods A total of 25 WT specimens were collected from the patients undergoing surgical treatment in our department during June 2021 and March 2022. The differential expression profiles of circRNA (DEcircRNA) and mRNA (DEmRNA) of 4 paired tumor and adjacent normal tissues were analyzed by RNA sequencing. Then, these differential molecules were subjected to miRanda-based miRNA target prediction to establish a complete circRNA-miRNA-mRNA regulatory network based on identical loci and co-expression. Finally, the function of the key circRNAs was validated. Results We screened 314 DEcircRNAs and 1 612 DEmRNAs out. Of these, 12 circRNAs were randomly selected by RT-qPCR in the tumor tissues to make expression verification, and 7 of them showed a trend consistent with the sequencing results. Gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) analyses suggested that the parental genes of DEcircRNAs and DEmRNAs were mainly enriched in cell proliferation, cancer, and various metabolism-related pathways. The miRanda prediction tool identified common miRNA targets of DEcircRNAs and DEmRNAs as a means to construct a complete circRNA-miRNA-mRNA network. Gene set enrichment analysis (GSEA) suggested that the target genes in the ceRNA network were associated with cell cycle and immune response. To identify key downstream targets, a protein-protein interaction (PPI) network of 127 target genes in the ceRNA network was established based on the STRING database, and 10 hub genes were further identified. Among them, 4 hub genes (TP53, KANK3, LLGL1 and TOPA3) were confirmed to be closely associated with the prognosis of WT. Subsequently, a regulatory sub-network of circRNA action was constructed based on the key target genes with prognostic significance. Finally, silencing of circRNA (hsa_circ_0009035) in the sub-network was found to significantly inhibit the proliferation, migration, invasion and cell cycle distribution of WT cells by CCK-8 assay, cell scratch assay, Transwell assay and flow cytometry, respectively (P < 0.05). Conclusion The comprehensive expression of circRNAs in WT is revealed and a potential circRNA-associated ceRNA network is constructed, which profoundly clarify the regulatory mechanism of the occurrence and development of WT.

Copyright of Chinese Journal of Tissue Engineering Research / Zhongguo Zuzhi Gongcheng Yanjiu is the property of Chinese Journal of Tissue Engineering Research and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The mortality rate of lung cancer has been high all over the world. In recent years, targeted drugs have become a new and effective method for the treatment of advanced lung cancer, but the early diagnosis and long-term effective treatment are still great challenges in lung cancer. Circular RNA (circRNA) is a unique RNA molecule with ring structure, which exhibits excellent stability and expression specificity. Increasing studies found that the expression of several circRNAs in tumors were abnormal. This abnormal expression is not only related to malignancy of tumors, but also involved in regulating the progress of tumors, which provides a new way for the diagnosis and treatment of tumors. Therefore, this article reviews the expression, the diagnostic and prognostic value as well as pathogenesis of circRNAs in lung cancer in order to find new targets for early diagnosis and treatment of lung cancer.

Circular RNA ( circRNA) is a type of endogenous RNA widely expressed in eukaryotic cells, which is formed by back-splicing of pre-RNA without 5'cap and 3'tail. circRNA has long been considered to be without coding ability, for it cannot encode protein and just regulates gene expression as microRNA sponge. However, with more and more research results on circRNA over the years, a small number of circRNAs has been proved able to encode protein or peptides in cap-independent manner. These proteins or peptide have been shown to play a vital role in cellular processes. This paper reviews the current circRNA research, and summarizes some bioinformatics methods related to circRNA protein coding ability. [ABSTRACT FROM AUTHOR]

Copyright of Cancer Research on Prevention & Treatment is the property of Cancer Research on Prevention & Treatment Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Objective To explore the male reproductive toxicity in rats caused by single or combined exposure to noise and carbon monoxide (CO) in closed cabin, and evaluate the joint effects and associated signal pathways. Methods Fifty male SD rats were randomly divided into blank control group, restraint group (negative control group), noise exposure group, CO exposure group and combined group (n=10). According to the poisoning procedure, the rats were fixed in the oral and nasal toxic cup and placed in the chamber and they were poisoned for 2 h per day for 30 consecutive days. The sperm quality, including sperm motility and sperm density, was analyzed after exposure, and the apoptosis of testicular cells was determined by TUNEL staining. The testicular tissues were harvested for circRNA sequencing, and the sequencing data were analyzed by bioinformatics enrichment. Results After exposure to noise and CO, the semen density of the noise group and combine group was decreased significantly (P < 0.05). The sperm motility was obviously lower in the CO group than the negative control group (P < 0.05), and more serious decline was observed in the combined group (P < 0.05). Morphological study showed that there were a few vacuoles in the testis of rats exposed to noise or CO and much more vacuoles in the testis of rats exposed to combination. Obvious pathological damage was found in the testis of rats combined exposed to noise and CO, and the cells in the seminiferous tubules were in a disordered arrangement. The number of apoptotic cells was increased in the noise and CO group, and the number was the largest in the combined group. The results of sequencing analysis suggested that key circRNA and their regulated key molecules might be involved in the reproductive damage effects of noise and CO exposure on rat testes, including Smc4, Sycp1, Sycp3, Spag17, Mns1, Top2a and Rock1, which played important roles in meiosis, spermatogenesis, cell cycle and apoptosis pathways. Conclusion Combined exposure to noise and CO shows typical joint effect on male reproductive damages, which are associated with circRNAs regulation.

Biomarker recognition is a major basis for achieving precision medicine,which plays an important role in diagnosing complex diseases,judging disease stages and evaluating the safety and effectiveness of new drugs or therapies in the target population.As the key technology of intelligent identification of biomarkers,the prediction of the association between circular RNA and disease is the key to deeply evaluate and measure the biological process,pathological process and intervention pathological response of subjects,and is one of the effective means and approaches to practice “precision medicine”.This paper comprehensively combs and prospects the circular RNA disease association prediction model in biological big data.Specifically,it first discusses the relationship between circRNA and disease in terms of the research background,physicochemical properties and functions of circ-RNAs.Then,it investigates the public database resources of circRNAs and diseases,and summarizes four computational methods of circRNA-disease association prediction from the perspective of computational models,and analyzes their advantages and shortcomings.Finally,this paper discusses the current challenges and future possible research directions of circRNA-disease association prediction problem.

Copyright of Journal of Nanjing Medical University: Natural Sciences is the property of Journal of Nanjing Medicial University (NMU) Medical Publications Center and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Oral cancer is a common head and neck malignant tumor. Its molecular mechanism of pathogenesis is complex and needs further exploration. Non-coding RNAs account for more than 95% of human transcripts and include microRNAs, lncRNAs, and circRNAs. They are an important entry point for research on molecular mechanism of oral cancer. Non-coding RNAs and protein-coding genes constitute a complex regulatory system involved in the regulation of physiological and pathological processes. This review summarizes articles about oral cancer-related non-coding RNAs and presents valuable information from the perspectives of microRNA, lncRNA, and circRNA.

Objective To explore the effects of the interaction between circular RNA hsa_circ_0000231 and HnRNPK on the proliferation, migration and apoptosis in breast cancer. Methods Microarray analysis was used to investigate the expression profile of circRNAs in 4 pairs of breast cancer tissues and corresponding adjacent normal tissues. A total of 35 breast cancer tissue specimens were collected from the patients admitted in the First Affiliated Hospital of Chongqing Medical University from September 2019 to January 2021. qRT-PCR was carried out to detect the relative expression of hsa_circ_0000231, and fluorescence in situ hybridization (FISH) assay was performed to observe its location and expression in the cells. Breast cancer MCF-7 and SK-BR-3 cells were transfected with the interference vector of hsa_circ_0000231 respectively. Then cell wound healing assay, CCK-8 assay, EdU cell proliferation assay, clone formation experiment, hoechst33342 staining, TUNEL, flow cytometry and Transwell assay were adopted to determine cell migration, invasion, proliferation and apoptosis, and Western blotting was employed to measure the expression of CCND2, CCND1 and CDK4 after the knockdown. The effect of hsa_circ_0000231 on the growth of transplanted tumors was observed in nude mice. RNA pulldown assay was performed to identify hsa_circ_0000231-associated proteins, and FISH-immunofluorescence (IF) assay were employed to clarify the subcellular localization of hsa_circ_0000231 and HnRNPK. qRT-PCR and Western blotting were conducted to detect the expression of c-Myc. Results Circular RNA hsa_circ_ 0000231 was highly expressed in breast cancer tissues (P < 0.001) and breast cancer cells (P < 0.01). Down-regulation of hsa_ circ_ 0000231 inhibited the proliferation, migration and invasion of breast cancer cells, induced cell apoptosis, led to cell cycle arrest in G1 phase, and obviously decreased the expression of CCND2, CCND1 and CDK4. The results of in vivo experiments showed that knockdown of hsa_circ_0000231 inhibited the growth of tumor xenograft. HnRNPK was co-localized in the nucleus with hsa_circ_0000231, and interacted with hsa_circ_0000231 to promote c-Myc expression. Conclusion Knockdown of hsa_ circ_ 0000231 could suppress the proliferation, migration and invasion of breast cancer cells, induce cell apoptosis and cell cycle arrest, and inhibit tumor growth in vivo. The interaction of hsa_circ_0000231 with HnRNPK enhances the expression of c-Myc, and thus promotes the occurrence and development of breast cancer.

Copyright of Cancer Research on Prevention & Treatment is the property of Cancer Research on Prevention & Treatment Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Objective To screen out the biomarkers with diagnostic value in lung cancer by biochip technology. Methods We screened four pairs of differentially-expressed circRNAs in lung cancer by circRNA expression profiling chip, and then verified the screened differential circRNA hsa_circ_0044569 by qRT-PCR, and collected clinical case information of patients at the same time. The independent sample t test and ROC curve were used to analyze the relation between the clinical data of lung cancer patients and the expression of circRNA hsa_circ_0044569 on clinical samples. Results The expression level of hsa_circ_0044569 in lung cancer tissues was higher than that of its paired adjacent tissues. The cutoff value of hsa_circ_0044569 for the diagnosis of lung cancer was 9.62, AUC was 0.758, P < 0.05, sensitivity was 0.712, and specificity was 0.712. The expression of hsa_circ_0044569 was significantly related with the pathological type of lung cancer patients (P < 0.05). Conclusion hsa_circ_0044569 is highly expressed in lung cancer and related to the pathological type, suggesting that it may become a potential biomarker in the early diagnosis of lung cancer.

Copyright of Chinese Journal of Bioinformatics is the property of Bioinformatics and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Cancer Research on Prevention & Treatment is the property of Cancer Research on Prevention & Treatment Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Circular RNA (circRNA) is a class of covalent closed-loop non-coding RNA, existing widely in various tissue and having important biological functions. circRNA can play a regulatory role at the transcriptional or post-transcriptional level by interacting with RNA-binding proteins, regulating mRNA stability and acting as competitive endogenous RNAs. Oxidative stress, a state in which there is an imbalance between the accumulation and removal of reactive oxygen species (ROS) in the body, plays an important role in the onset and development of many diseases. Under oxidative stress conditions, numerous recent studies have shown that differentially expressed circRNA regulate the expression of inflammatory factors and apoptotic genes by acting as miRNA sponges, thereby interfering with cell survival and apoptosis. According to the regulatory effects, circRNA can participate in the damage caused by oxidative stress and play a pro-oxidative stress role. circRNA can also play an anti-oxidative stress role by upregulating antioxidant genes and reducing the effects of oxidative stress. circRNA and oxidative stress interact and induce each other, and mutually they participate in the occurrence and development of a variety of diseases. This paper reviews the relevant literature from the overview of oxidative stress, the role of circRNA under oxidative stress in different systemic diseases, and the potential mechanism of circRNA-oxidative stress interactions, aiming to provide reference for further research. [ABSTRACT FROM AUTHOR]

Non-coding RNA is a type of RNA that cannot be translated into protein, which was once considered "transcriptional noise", including microRNA (miRNA), long non-coding RNA (lncRNA), and circular RNA (circRNA). Research has found that non-coding RNA is involved in the physiological and pathological processes of several human diseases, such as cell proliferation, differentiation, apoptosis, and embryonic development. Recently, it has been considered that the expression profile changes of noncoding RNA in scleral tissue, retinal pigment epithelium cells (RPE), and aqueous humor of myopia patients and myopia animal models. The differential expression of non-coding RNA may contribute to the development of myopia by regulating the scleral extracellular matrix remodeling process, and choroidal blood flow and thickness. Therefore, this article aims to review the research progress in non-coding RNA of myopia to provide new directions and ideas for the diagnosis and treatment of myopia in the future. [ABSTRACT FROM AUTHOR]