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Long non-coding RNA myocardial infarction associated transcript expression and clinical significance in patients with hypertension during pregnancy

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Abstract

Objective

This study aimed to investigate the expression level of lncRNA myocardial infarction associated transcript (MIAT) in serum of pregnant women with hypertensive disorders in pregnancy (HDP) and its clinical significance.

Methods

A total of 135 pregnant women with HDP were selected, including 69 pregnant women with gestational hypertension (GH) and 66 pregnant women with preeclampsia (PE). Sixty-eight normal pregnant women were selected as healthy control group (HC). The expression level of serum MIAT of all subjects was detected by quantitative real-time polymerase chain reaction (qRT-PCR), and the diagnostic value of MIAT for GH was evaluated by constructing receiver operating characteristic (ROC) curve. Pearson correlation coefficient was used to analyze the correlation between MIAT and patients’ clinical indicators. Logistics regression analysis evaluated the influencing factors of GH development into PE.

Results

The level of MIAT in GH group was significantly higher than that in HC group, while MIAT level in PE group was more significantly upregulated than that in GH group and HC group. ROC curve showed that MIAT had the ability to distinguish between GH patients and healthy controls. Pearson correlation coefficient suggested that HOTAIR expression was positively correlated with systolic blood pressure (SBP) and diastolic blood pressure (DPB). Logistic regression analysis showed that MIAT was an independent influencing factor for the development of GH to PE.

Conclusion

The expression of MIAT in serum of HDP patients was increased and positively correlated with the severity of the disease. The abnormal expression of MIAT has certain diagnostic value for GH.

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Availability of data and material

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

References

  1. Turner K, Hameed AB (2017) Hypertensive disorders in pregnancy current practice review. Curr Hypertens Rev 13(2):80–88. https://doi.org/10.2174/1573402113666170529110024

    Article  PubMed  Google Scholar 

  2. Osungbade KO, Ige OK (2011) Public health perspectives of preeclampsia in developing countries: implication for health system strengthening. J Pregnancy 2011:481095. https://doi.org/10.1155/2011/481095

    Article  PubMed  PubMed Central  Google Scholar 

  3. Gholaminejad A, Abdul Tehrani H, Gholami Fesharaki M (2018) Identification of candidate microRNA biomarkers in diabetic nephropathy: a meta-analysis of profiling studies. J Nephrol 31(6):813–831. https://doi.org/10.1007/s40620-018-0511-5

    Article  CAS  PubMed  Google Scholar 

  4. Sutton ALM, Harper LM, Tita ATN (2018) Hypertensive Disorders in Pregnancy. Obstet Gynecol Clin North Am 45(2):333–347. https://doi.org/10.1016/j.ogc.2018.01.012

    Article  PubMed  Google Scholar 

  5. Behrens I, Basit S, Melbye M, Lykke JA, Wohlfahrt J, Bundgaard H, Thilaganathan B, Boyd HA (2017) Risk of post-pregnancy hypertension in women with a history of hypertensive disorders of pregnancy: nationwide cohort study. BMJ 358:j3078. https://doi.org/10.1136/bmj.j3078

    Article  PubMed  PubMed Central  Google Scholar 

  6. Mourad M, Too G, Gyamfi-Bannerman C, Zork N (2021) Hypertensive disorders of pregnancy in twin gestations complicated by gestational diabetes(). J Matern Fetal Neonatal Med 34(5):720–724. https://doi.org/10.1080/14767058.2019.1614160

    Article  PubMed  Google Scholar 

  7. Ransohoff JD, Wei Y, Khavari PA (2018) The functions and unique features of long intergenic non-coding RNA. Nat Rev Mol Cell Biol 19(3):143–157. https://doi.org/10.1038/nrm.2017.104

    Article  CAS  PubMed  Google Scholar 

  8. Zuo K, Zhao Y, Zheng Y, Chen LX, Du S, Liu Q (2019) Long non-coding RNA XIST promotes malignant behavior of epithelial ovarian cancer. Onco Targets Ther 12:7261–7267. https://doi.org/10.2147/OTT.S204369

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Chen J, Dang J (2020) LncRNA CASC11 was downregulated in coronary artery disease and inhibits transforming growth factor-beta1. J Int Med Res 48(3):300060519889187. https://doi.org/10.1177/0300060519889187

    Article  CAS  PubMed  Google Scholar 

  10. Pardini B, Sabo AA, Birolo G, Calin GA (2019) Noncoding RNAs in extracellular fluids as cancer biomarkers: The new frontier of liquid biopsies. Cancers (Basel) 11 (8). https://doi.org/10.3390/cancers11081170

  11. He X, He Y, Xi B, Zheng J, Zeng X, Cai Q, Ouyang Y, Wang C, Zhou X, Huang H, Deng W, Xin S, Huang Q, Liu H (2013) LncRNAs expression in preeclampsia placenta reveals the potential role of LncRNAs contributing to preeclampsia pathogenesis. PLoS One 8(11):e81437. https://doi.org/10.1371/journal.pone.0081437

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Zheng D, Hou Y, Li Y, Bian Y, Khan M, Li F, Huang L, Qiao C (2020) Long non-coding RNA Gas5 Is associated with preeclampsia and regulates biological behaviors of trophoblast via MicroRNA-21. Front Genet 11:188. https://doi.org/10.3389/fgene.2020.00188

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Rapicavoli NA, Poth EM, Blackshaw S (2010) The long noncoding RNA RNCR2 directs mouse retinal cell specification. BMC Dev Biol 10:49. https://doi.org/10.1186/1471-213X-10-49

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Mercer TR, Qureshi IA, Gokhan S, Dinger ME, Li G, Mattick JS, Mehler MF (2010) Long noncoding RNAs in neuronal-glial fate specification and oligodendrocyte lineage maturation. BMC Neurosci 11:14. https://doi.org/10.1186/1471-2202-11-14

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Tan J, Liu S, Jiang Q, Yu T, Huang K (2019) LncRNA-MIAT increased in patients with coronary atherosclerotic heart disease. Cardiol Res Pract 2019:6280194. https://doi.org/10.1155/2019/6280194

    Article  PubMed  PubMed Central  Google Scholar 

  16. ACOG Practice Bulletin No. 202 (2019) Gestational Hypertension and Preeclampsia. Obstet Gynecol 133(1):1. https://doi.org/10.1097/AOG.0000000000003018

  17. Idris H, Duum NCN, Adamu UG, Abdullateef RM, Yabagi IA (2020) Hypertensive disorders in pregnancy: pattern and obstetric outcome in Bida. Nigeria Niger Med J 61(1):42–47. https://doi.org/10.4103/nmj.NMJ_29_18

    Article  PubMed  Google Scholar 

  18. O'Dwyer S, Raniolo C, Roper J, Gupta M (2015) Improving induction of labour - a quality improvement project addressing Caesarean section rates and length of process in women undergoing induction of labour. BMJ Qual Improv Rep 4 (1). https://doi.org/10.1136/bmjquality.u203804.w4027

  19. van Dijk M, Oudejans C (2013) (Epi)genetics of pregnancy-associated diseases. Front Genet 4:180. https://doi.org/10.3389/fgene.2013.00180

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Zeng L, Yang K, Ge J (2017) Uncovering the pharmacological mechanism of astragalus salvia compound on pregnancy-induced hypertension syndrome by a network pharmacology approach. Sci Rep 7(1):16849. https://doi.org/10.1038/s41598-017-17139-x

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Townsend R, O’Brien P, Khalil A (2016) Current best practice in the management of hypertensive disorders in pregnancy. Integr Blood Press Control 9:79–94. https://doi.org/10.2147/IBPC.S77344

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Xu H, Zhou J, Tang J, Min X, Yi T, Zhao J, Ren Y (2020) Identification of serum exosomal lncRNA MIAT as a novel diagnostic and prognostic biomarker for gastric cancer. J Clin Lab Anal 34(8):e23323. https://doi.org/10.1002/jcla.23323

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Sun C, Huang L, Li Z, Leng K, Xu Y, Jiang X, Cui Y (2018) Long non-coding RNA MIAT in development and disease: a new player in an old game. J Biomed Sci 25(1):23. https://doi.org/10.1186/s12929-018-0427-3

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Li WW, Cao AH, Sun FY (2020) LncRNA MIAT stimulates oxidative stress in the hypoxic pulmonary hypertension model by sponging miR-29a-5p and inhibiting Nrf2 pathway. Eur Rev Med Pharmacol Sci 24(17):9022–9029. https://doi.org/10.26355/eurrev_202009_22845

    Article  PubMed  Google Scholar 

  25. Gao Y, Yue J, Huang Z (2021) LncRNA MIAT Mediates ox-LDL-Induced Endothelial Cell Injury Via miR-206/RAB22A Axis. J Surg Res 265:303–312. https://doi.org/10.1016/j.jss.2021.02.029

    Article  CAS  PubMed  Google Scholar 

  26. Report of the National High Blood Pressure Education Program Working Group on High Blood Pressure in Pregnancy (2000) Am J Obstet Gynecol 183(1):S1-S22

  27. Roberts JM, Hubel CA (2009) The two stage model of preeclampsia: variations on the theme. Placenta 30 Suppl A:S32–37. https://doi.org/10.1016/j.placenta.2008.11.009

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Author notes

  1. Xiaoli Wu and Ruifen Su The contributions of the first two authors are equal.

Authors and Affiliations

  1. Department of Obstetrics and Gynecology, The Central Hospital of Enshi Tujia and Miao Autonomous Prefecture, No.158 Wuyang Avenue, Enshi, 445000, Hubei, China

    Xiaoli Wu & Ruifen Su

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  1. Xiaoli Wu
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  2. Ruifen Su
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Correspondence to Xiaoli Wu.

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This study was approved by the Ethics Committee of The Central Hospital of Enshi Tujia and Miao Autonomous Prefecture.

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All participants provided written informed consent.

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Patients signed informed consent regarding publishing their data.

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The authors declare that they have no conflict of interest.

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Wu, X., Su, R. Long non-coding RNA myocardial infarction associated transcript expression and clinical significance in patients with hypertension during pregnancy. Ir J Med Sci 191, 2223–2228 (2022). https://doi.org/10.1007/s11845-021-02811-z

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  • DOI: https://doi.org/10.1007/s11845-021-02811-z

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