| Literature DB >> 25502889 |
Ilona Hromadnikova1, Katerina Kotlabova1, Lucie Hympanova2, Jindrich Doucha3, Ladislav Krofta4.
Abstract
OBJECTIVE: The objective of the study was to evaluate risk assessment for gestational hypertension based on the profile of circulating placental specific C19MC microRNAs in early pregnancy. STUDYEntities:
Mesh:
Substances:
Year: 2014 PMID: 25502889 PMCID: PMC4266496 DOI: 10.1371/journal.pone.0113735
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Characteristics of selected C19MC microRNAs.
| Assay name | miRBase ID | NCBI Location Chromosome | microRNA sequence | Expression in placenta |
| hsa-miR-516-5p | hsa-miR-516b-5p | Chr.19: 58920508 - 58920592 [+] | 5′-CAUCUGGAGGUAAGAAGCACUUU-3′ | exclusively expressed |
| hsa-miR-517* | hsa-miR-517-5p | Chr.19: 54215522 - 54215608 [+] | 5′-CCUCUAGAUGGAAGCACUGUCU-3′ | high expression |
| hsa-miR-518b | hsa-miR-518b | Chr.19: 54205991 - 54206073 [+] | 5′-CAAAGCGCUCCCCUUUAGAGGU-3′ | exclusively expressed |
| hsa-miR-520a* | hsa-miR-520a-5p | Chr.19: 54194135 - 54194219 [+] | 5′-CUCCAGAGGGAAGUACUUUCU-3′ | high expression |
| hsa-miR-520h | hsa-miR-520h | Chr.19: 54245766 - 54245853 [+] | 5′-ACAAAGUGCUUCCCUUUAGAGU-3′ | exclusively expressed |
| hsa-miR-525 | hsa-miR-525-5p | Chr.19: 54200787 - 54200871 [+] | 5′-CUCCAGAGGGAUGCACUUUCU-3′ | exclusively expressed |
| hsa-miR-526a | hsa-miR-526a | Chr.19: 54209506 - 54209590 [+] | 5′-CUCUAGAGGGAAGCACUUUCU-3′ | high expression |
C19MC microRNAs were divided into two categories (microRNAs exclusively expressed in the placental tissue and those with high expression in the placental tissue) based on information in miRNAMap 2.0 database (http://mirnamap.mbc.nctu.edu.tw/index.php), where the Q-PCR experiments for monitoring the expression profiles of 224 human miRNAs in eighteen major normal tissues in humans are provided. For example, we indicated miR-516-5p and miR-518b as those to be exclusively expressed in the placental tissue, since according to the miRNAMap 2.0 database miR-516-5p was shown to be expressed only in the placental tissue and miR-518b to be highly expressed in the placental tissue and rarely expressed in testes. On the other hand, for instance miR-520a* showed besides high expression in the placental tissue also low expression in other human tissues involving adipose, bladder, brain, cervix, heart, kidney, liver, lung, muscle, ovary, prostate, small intestine, spleen, testes, thymus, thyroid and trachea.
Figure 1Up-regulation of circulating C19MC microRNAs in pregnancies which developed gestational hypertension.
Relative quantification data were expressed as box plots of individual microRNAs in cohorts of normal and complicated pregnancies using Statistica software. The upper and lower limits of the boxes represent the 75th and 25th percentiles, respectively. The upper and lower whiskers represent the maximum and minimum values that are no more than 1.5 times the span of the interquartile range (range of the values between the 25th and the 75th percentiles). The median is indicated by the line in each box. Outliers are indicated by circles and extremes by asterisks.
Predictive accuracy of first trimester maternal plasma C19MC microRNA markers for the diagnosis of gestational hypertension.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| ||||||
|
| 0.817 | 0.0002 | >3.1986 | 73.30% | 92.90% | 84.60% | 86.70% | 10.27 | 0.29 |
| (0.669−0.918) | (2.6−40.4) | (0.1−0.7) | |||||||
|
| 0.786 | 0.0004 | >5.5955 | 73.30% | 85.70% | 73.30% | 85.70% | 5.13 | 0.31 |
| (0.634−0.896) | (2.0−13.4) | (0.1−0.7) | |||||||
|
| 0.85 | <0.0001 | >1.2013 | 80.00% | 82.10% | 70.60% | 88.50% | 4.48 | 0.24 |
| (0.708−0.940) | (1.9−10.3) | (0.09−0.7) | |||||||
|
| 0.752 | 0.0021 | >3.761 | 73.30% | 71.40% | 57.90% | 83.30% | 2.57 | 0.37 |
| (0.597−0.871) | (1.3−5.0) | (0.2−0.9) | |||||||
|
| 0.688 | 0.031 | >2.2471 | 80.00% | 67.90% | 57.10% | 86.40% | 2.49 | 0.29 |
| (0.529−0.820) | (1.4−4.5) | (0.1−0.8) |
Predictive accuracy of first trimester maternal plasma C19MC microRNA markers combination for the diagnosis of gestational hypertension.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| ||||||
|
| 0.786 | <0.0001 | >5.6161 | 63.30% | 92.90% | 82.60% | 82.50% | 8.87 | 0.39 |
|
| (0.685−0.867) | (3.3−23.7) | (0.2−0.6) | ||||||
|
| 0.829 | <0.0001 | >0.0002 | 70.00% | 87.50% | 75.00% | 84.50% | 5.6 | 0.34 |
|
| (0.733−0.902) | (2.7−11.6) | (0.2−0.6) | ||||||
|
| 0.788 | <0.0001 | >0.0002 | 80.00% | 73.20% | 61.50% | 87.20% | 2.99 | 0.27 |
|
| (0.687−0.869) | (1.9−4.8) | (0.1−0.6) | ||||||
|
| 0.796 | <0.0001 | >0.0002 | 73.30% | 79.80% | 66.00% | 84.80% | 3.62 | 0.33 |
|
| (0.716−0.862) | (2.3−5.7) | (0.2−0.5) |
AUC: area under the curve, ROC: receiver operating characteristic; PPV: positive predictive value; NPV: negative predictive value.
Figure 2Receiver operating characteristic curves – evaluation of the effectiveness of circulating C19MC microRNAs to predict the development of gestational hypertension.
Function and functional relationship analysis of target genes of differentially expressed extracellular C19MC microRNAs in patients developing gestational hypertension in relation to pregnancy.
| microRNA | Total no. of predicted target genes/ no. of target genes with relation to pregnancy | Target genes with relation to pregnancy |
|
| 349/53 | GYS1, MAPK10, MSRB3, EGLN3, ITGA9, PMP22, CD177, PDGFRA, PSG5, LIN28B, TFCP2L1, PSG9, CHAF1B, IL17RE, PSG6, PSG2, DDAH1, KNG1, NOS1, FUT1, FLT1, UMPS, KCNQ3, SPRY2, PSG11, DAZ1, CHM, OBSL1, WARS, SPAST, SH3BGR, MEOX2, CD1A, PSG3, CCNG1, STC1, CCNA2, CCR2, EGR1, SOCS2, ICOSLG, KCNB1, SLC1A1, SLC9A1, MTHFR , IRAK1, TYRO3, CELF4, ANXA4, MS4A1, ADAMTS14, GRB2, SLC6A2 |
|
| 179/21 | RND3, CUL4B, SFRP4, SDHC, MTDH, FUT1, LHCGR, SDC4, FUT9, MBD2, ZCCHC10, CCNG1, DGKE, LMNB2, FAS, SH3BGRL2, CASP10, NFIB, TWIST1, GCLC, PAPPA |
|
| 42/4 | TOLLIP, SLCO4C1, PRDX6, CXADR |
|
| 509/65 | NOX4, VAV3, KLF12, FBN1, JAZF1, CAPN2, TRPC5, ANXA4, LAMP2, HIF1A, RND3, EIF4E, GNA14, PAK2, NR4A2, GBP6, TLR5, GCH1, PHF14, PRCP, SENP1, MYCN, TFAM, CALU, OCLN, CCNB1, EDNRA, SLC41A1, F3, CNR1, ITGAV, SDC2, E2F1, GLRX, CGA, RGS2, ADAMTS5, PRIM2, CDKN1A, PCK1, TGFB2, LIN28B, ABCA1, UNG, AHRR, CDKN2B, SLK, OLR1, NOD2, PKHD1, LRP8, S1PR3, ACP1, BCOR, PAFAH1B2, IRS1, PAH, GRIP1, DMD, GPLD1, NTRK2, FURIN, ANGPT1, TBX1, PTPN1 |
All the targets were predicted by a bioinformatics tool MirTarget2 using miRDB online database.