Circulating exosomal microRNAs contribute to the antimigraine effects of acupuncture
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE198274 | GEO | 2024/02/12
REPOSITORIES: GEO
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Project description:Objective: The expression pattern of exosomal miRNAs derived from parathyroid tumor is still unknown. In the present work, we aimed to examine the differences on microRNA (miRNA) expression, present in serum exosomes, by comparing parathyroid carcinoma (PC) and parathyroid adenoma (PA). Methods: MiRNA expression profile of serum exosomes, derived from 4 PC patients and 4 PA patients, were analyzed by next-generation sequencing technology. The differential expressions of target miRNAs were further verified in both serum exosomes and tissues of PC/PA patients by quantitative reverse transcription polymerase chain reaction (qRT-PCR). Lastly, receiver operating characteristic (ROC) curves were plotted to investigate the efficiency of target exosomal miRNAs in distinguishing PC patients from PA controls. Results: Multiple differentially expressed miRNAs of serum exosomes were screened out by sequencing. Based on this screening, hsa-miR-146b-5p (p=0.0846), hsa-miR-27a-5p (p=0.0412), hsa-miR-93-5p (p=0.73), hsa-miR-381-3p (p=0.1239) and hsa-miR-134-5p (p=0.0694) were up-regulated in the serum exosomes of PC patients. These results were validated by qPCR, where the trend on differential miRNA expression was consistent with the sequencing results. Specifically, the expression of exosomal hsa-miR-27a-5p was able to clearly distinguish PC patients from PA controls, and related analysis indicated that the area under the ROC curve was 0.8594 (p=0.0157). Conclusion: Here we present, for the first time, the miRNA expression profile of serum exosomes derived from PC patients. Based on this result, we presently suggest that the exosomal hsa-miR-27a-5p may serve as a putative tumor marker for preoperative identification of PC and PA subjects.
2020-11-13 | GSE161339 | GEO
Project description:Background: The identification of new high sensitivity and specificity markers for HCC are essential. We aimed to identify serum microRNAs for diagnosing hepatitis B virus (HBV) –related HCC. Methods: Serum microRNA expression was investigated with four cohorts including 667 participants (261 HCC patients ,233 cirrhosi patients and 173 healthy controls), recruited between August 2010 and June 2013. First, An initial screening of miRNA expression by Illumina sequencing was performed using serum samples pooled from HCC patients and controls,respectively. Quantitative reverse-transcriptase polymerase chain reaction assay was then applied to evaluate the expression of selected microRNAs. A logistic regression model was constructed using a training cohort (n=357) and then validated using a cohort(n=241). The area under the receiver operating characteristic curve (AUC) was used to evaluate diagnostic accuracy. Results: , We identified 8 miRNAs(hsa-miR-206, hsa-miR-141-3p, hsa-miR-433-3p, hsa-miR-1228-5p, hsa-miR-199a-5p, hsa-miR-122-5p, hsa-miR-192-5p and hsa-miR-26a-5p.) formed a miRNA panel that provided a high diagnostic accuracy of HCC (AUC=0.887 and 0.879 for training and validation data set, respectively). The microRNA panel can also differentiate HCC from healthy (AUC =0.894) and cirrhosis (AUC = 0.892), respectively. Conclusions:We found a serum microRNAs panel that has considerable clinical value in diagnosing HCC.
2015-12-20 | GSE59418 | GEO
Project description:Background: The identification of new high sensitivity and specificity markers for HCC are essential. We aimed to identify serum microRNAs for diagnosing hepatitis B virus (HBV) â??related HCC. Methods: Serum microRNA expression was investigated with four cohorts including 667 participants (261 HCC patients ,233 cirrhosi patients and 173 healthy controls), recruited between August 2010 and June 2013. First, An initial screening of miRNA expression by Illumina sequencing was performed using serum samples pooled from HCC patients and controls,respectively. Quantitative reverse-transcriptase polymerase chain reaction assay was then applied to evaluate the expression of selected microRNAs. A logistic regression model was constructed using a training cohort (n=357) and then validated using a cohort(n=241). The area under the receiver operating characteristic curve (AUC) was used to evaluate diagnostic accuracy. Results: , We identified 8 miRNAs(hsa-miR-206, hsa-miR-141-3p, hsa-miR-433-3p, hsa-miR-1228-5p, hsa-miR-199a-5p, hsa-miR-122-5p, hsa-miR-192-5p and hsa-miR-26a-5p.) formed a miRNA panel that provided a high diagnostic accuracy of HCC (AUC=0.887 and 0.879 for training and validation data set, respectively). The microRNA panel can also differentiate HCC from healthy (AUC =0.894) and cirrhosis (AUC = 0.892), respectively. Conclusions:We found a serum microRNAs panel that has considerable clinical value in diagnosing HCC. 9 serum samples pooled from 3 healthy control donors and 3 HCC patients, 3 cirrhosi patients treated at The First Affiliated Hospital of Soochow University were subjected to Illumina HiSeq 2000 deep sequencing to identify the miRNAs that were significantly differentially expressed.
2015-12-20 | E-GEOD-59418 | biostudies-arrayexpress
Project description:Breast Cancer is the cancer with most incidence and mortality in women. microRNAs are emerging as novel prognosis/diagnostic tools. Our aim was to identify a serum microRNA signature useful to predict cancer development. We focused on studying the expression levels of 30 microRNAs in the serum of 96 breast cancer patients versus 92 control individuals. Bioinformatic studies provide a microRNA signature, designated as a predictor, based upon the expression levels of 5 microRNAs. Then, we tested the predictor in a group of 60 randomly chosen women. Lastly, a proteomic study unveiled the over-expression and down-regulation of proteins differently expressed in the serum of breast cancer patients versus that of control individuals. Twenty-six microRNAs differentiate cancer tissue from healthy tissue and 16 microRNAs differentiate the serum of cancer patients from that of the control group. The tissue expression of miR-99a-5p, mir-497-5p, miR-362, and miR-1274, and the serum levels of miR-141 correlated with patient survival. Moreover, the predictor consisting of mir-125b-5p, miR-29c-3p, mir-16-5p, miR-1260, and miR-451a was able to differentiate breast cancer patients from controls. The predictor was validated in 20 new cases of breast cancer patients and tested in 60 volunteer women, assigning 11 out of 60 women to the cancer group. An association of low levels of mir-16-5p with a high content of CD44 protein in serum was found. Circulating microRNAs in serum can represent biomarkers for cancer prediction. Their clinical relevance and use of the predictor here described might be of potential importance for breast cancer prediction.
2020-09-18 | PXD020795 | Pride
Project description:From serum samples of non-dialyzed and dialyzed patients with ADPKD and healthy control total RNA was isolated and miRNA expression was evaluated. Circulating microRNAs (miRNA) are important intercellular communication compounds. We investigated the influence of ADPKD (autosomal dominant polycystic kidney disease) and hemodialysis on the profile of serum miRNAs. We found 37 significant circulating miRNA that differ between ADPKD patients (dialyzed and non-dialyzed) and healthy controls. Bioinformatic analysis revealed strongest connections between those miRNAs and KEGG pathway: MicroRNAs in cancer. We selected 3 miRNAs with highest and 3 with lowest fold change in comparison of dialyzed and non-dialyzed patients and compared their expression in paired pre-/post-dialysis samples. All up-regulated miRNAs (miR-532-3p, miR-320b, miR-144-5p) were not significantly altered by hemodialysis. From down-regulated miRNAs miR-27a-3p was shown to be significantly lower after dialysis in both total and exosomal fraction. MiR-20a-5p was down-regulated after dialysis only in the exosomal fraction whereas miR-16-5p was unaltered by hemodialysis. MiR-16-5p was selected as the best circulating biomarker of ADPKD with miR-22-3p, let-7i-5p and miR-24-3p as following best ones. Circulating representatives of miR-17 family (new drug target of ADPKD (Hajarnis et al. 2017)) sharing the same seed region (miR-20a-5p, miR-93-5p and miR-106a-5p) showed significantly lowered expressed in sera of dialyzed patients vs non-dialyzed ones and their exosomal fraction dropped after hemodialysis. We concluded that serum miRNA among ADPKD patients differ substantially depending on the stage of CKD. These alterations show possible links with cancer. The exosomal fraction of miRNA was more affected by dialysis than total fraction of miRNAs suggesting their dynamically changing functional role.
2018-06-30 | GSE101811 | GEO
Project description:There are 19 differentially expressed microRNAs among new HIV-infected cases, old HIV-infected cases and healthy controls. Five microRNAs show trends in healthy controls, new HIV-infected cases and old HIV-infected cases, they are hsa-miR-1291, and hsa-miR-3609 with up-trends, and hsa-miR-3162-3p, hsa-miR-874-5p and hsa-miR-4258 with down-trends.
2017-12-01 | GSE103555 | GEO
Project description:MIR-28 sibling microRNA mimics (hsa-miR-28-5p or hsa-miR-708-5p) were analyzed by the miR-eCLIP protocol established in Manakov et al. 2022, to determine direct binding targets of these microRNAs in human MCF10A breast epithelial cells.
2024-02-08 | GSE242755 | GEO
Project description:The aim of this study was to identify and evaluate exosomal miRNAs in serum as early diagnostic markers for gastric cancer (GC). Methods: Using next-generation sequencing (NGS) and bioinformatics, we identified candidate serum exosomal miRNA markers for early detection of GC in patients. The candidates were further validated by qRT-PCR in 50 newly recruited early-stage GC patients and matched healthy individuals. Results: NGS revealed that the average mappable reads in the RNA libraries were about 6.5 million per patient. A total of 66 up and 13 down-regulated exosomal miRNAs were found in the screened cohort after removal of log2 transformed read counts <5 and p >0.05. In the validation cohort, by comparing candidate exosomal miRNAs levels in early-stage GC patients and healthy individuals, higher levels of miR-92b-3p, let-7g-5p, miR-146b-5p and miR-9-5p were found to be significantly associated with GC. Diagnostic power of the combined panels of the exosomal miRNAs or the combination of exosomal miRNAs and CEA outperformed that of single exosomal miRNA marker for establishing a diagnosis of early-stage GC. In addition, serum levels of exosomal miR-92b-3p were significantly associated with low adhesion, let-7g-5p and miR-146b-5p were significantly correlated with nerve infiltration, and miR146b-5p was statistically correlated with tumor invasion depth in early-stage GC. Conclusions: Serum exosomal miR-92b-3p, -146b-5p, -9-5p, and let-7g-5p may serve as potential noninvasive biomarkers for early diagnosis of GC. Further validation of these candidate exosomal miRNAs in larger experimental cohorts are required in order to confirm the diagnostic values.
2020-02-21 | GSE130654 | GEO
Project description:Objective:This study aims to discover circulating exosomal miRNAs as potential noninvasive biomarkers early detection of fetus with ventricular septal defect (VSD). Method:A total of 182 pregnant women including 91 VSD cases and 91 matched controls were included in this study. Exosomes were isolated and next-generation sequencing was used to obtain a profile of dysregulated exosomal miRNA. The differential abundance was verified by quantitative real-time PCR (q RT-PCR). . Receiver operating characteristic (ROC) curves were conducted to evaluate the diagnostic accucary Results: 77 serum exosomal miRNA were uncovered to be differentially expressed in the VSD group as compared to the control group. Among these, five down-regulated exosomal miRNA were validated by qRT-PCR. hsa-miR-146a-5p was identified to be capable of distinguishing VSDs from controls (area under the ROC (AUC): 0.997; p < 2.2e-16). Conclusion: circulating exosomal miRNA, in particular, hsa-miR-146a-5pmay be a predictive biomarker for non-invasive prenatal diagnosis of fetal VSDs.
2021-06-05 | GSE176134 | GEO
Project description:We studied the impact of hsa-miR-139-5p on the protein output by means of an iTRAQ-based approach. First, we established two CAL-62 isogenic cell lines expressing either the mature hsa-miR-139-5p or a non-targeting control upon a doxycycline inducible promoter (PTRE3G-tGFP, Dharmacon). Total proteins of P-tGFP-hsa-miR139-5p untreated or treated with doxycycline (1ug/ml) for 96 and 120 hours were isolated and labeled with iTRAQ® reagent 8-plex. Two independent experiments were performed.
2019-08-13 | PXD011901 | Pride