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Kondracka A, Stupak A, Rybak-Krzyszkowska M, Kondracki B, Oniszczuk A, Kwaśniewska A. MicroRNA Associations with Preterm Labor-A Systematic Review. Int J Mol Sci 2024; 25:3755. [PMID: 38612564 PMCID: PMC11012198 DOI: 10.3390/ijms25073755] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Revised: 03/23/2024] [Accepted: 03/26/2024] [Indexed: 04/14/2024] Open
Abstract
This systematic review delves into the connections between microRNAs and preterm labor, with a focus on identifying diagnostic and prognostic markers for this crucial pregnancy complication. Covering studies disseminated from 2018 to 2023, the review integrates discoveries from diverse pregnancy-related scenarios, encompassing gestational diabetes, hypertensive disorders and pregnancy loss. Through meticulous search strategies and rigorous quality assessments, 47 relevant studies were incorporated. The synthesis highlights the transformative potential of microRNAs as valuable diagnostic tools, offering promising avenues for early intervention. Notably, specific miRNAs demonstrate robust predictive capabilities. In conclusion, this comprehensive analysis lays the foundation for subsequent research, intervention strategies and improved outcomes in the realm of preterm labor.
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Affiliation(s)
- Adrianna Kondracka
- Department of Obstetrics and Pathology of Pregnancy, Medical University of Lublin, 20-081 Lublin, Poland; (A.K.); (A.K.)
| | - Aleksandra Stupak
- Department of Obstetrics and Pathology of Pregnancy, Medical University of Lublin, 20-081 Lublin, Poland; (A.K.); (A.K.)
| | - Magda Rybak-Krzyszkowska
- Department of Obstetrics and Perinatology, The University Hospital in Krakow, 30-551 Krakow, Poland;
| | - Bartosz Kondracki
- Department of Cardiology, Medical University of Lublin, 20-081 Lublin, Poland
| | - Anna Oniszczuk
- Department of Inorganic Chemistry, Medical University of Lublin, 20-081 Lublin, Poland;
| | - Anna Kwaśniewska
- Department of Obstetrics and Pathology of Pregnancy, Medical University of Lublin, 20-081 Lublin, Poland; (A.K.); (A.K.)
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Guo C, Yin X, Yao S. The effect of MicroRNAs variants on idiopathic recurrent pregnancy loss. J Assist Reprod Genet 2023; 40:1589-1595. [PMID: 37199867 PMCID: PMC10352210 DOI: 10.1007/s10815-023-02827-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Accepted: 05/08/2023] [Indexed: 05/19/2023] Open
Abstract
BACKGROUND Although the importance of miRNA variants in female reproductive disorders has been frequently reported, the association between miRNA polymorphisms and recurrent pregnancy loss (RPL) has been poorly studied. In this study, we aimed to assess the correlation of four different miRNA variants to unexplained RPL. METHODS AND RESULTS The prevalence of four SNPs including miR-21 rs1292037, miR-155-5p rs767649, miR-218-2 rs11134527, and miR-605 rs2043556 in 280 cases with iRPL and 280 controls was performed. The DNA was extracted from all subjects and the SNPs were genotyped using RFLP-PCR methods. The data revealed that rs1292037 and rs767649 were significantly associated with higher rates of iRPL in patients compared with controls while rs11134527 and rs2043556 showed no association with increased rates of iRPL among patients. The haplotypes T-A-G-G and T-A-G-A were the most frequent in both cases and controls. Three haplotypes including T-T-G-A, C-T-G-G, and T-A-A-A showed significantly different frequencies in patients in comparison to healthy females. CONCLUSION This study suggests that rs1292037 and rs767649 could be risk factors for increased rates of iRPL.
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Affiliation(s)
- Chunlei Guo
- Department of Obstetrics, Hengshui People's Hospital, 180 East Renmin Rd, Hengshui, 053000, China
| | - Xuejing Yin
- Department of Obstetrics, Hengshui People's Hospital, 180 East Renmin Rd, Hengshui, 053000, China
| | - Shuiping Yao
- Department of Obstetrics, Hengshui People's Hospital, 180 East Renmin Rd, Hengshui, 053000, China.
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Hromadnikova I, Kotlabova K, Krofta L. First-Trimester Screening for Miscarriage or Stillbirth-Prediction Model Based on MicroRNA Biomarkers. Int J Mol Sci 2023; 24:10137. [PMID: 37373283 DOI: 10.3390/ijms241210137] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 06/13/2023] [Accepted: 06/13/2023] [Indexed: 06/29/2023] Open
Abstract
We evaluated the potential of cardiovascular-disease-associated microRNAs to predict in the early stages of gestation (from 10 to 13 gestational weeks) the occurrence of a miscarriage or stillbirth. The gene expressions of 29 microRNAs were studied retrospectively in peripheral venous blood samples derived from singleton Caucasian pregnancies diagnosed with miscarriage (n = 77 cases; early onset, n = 43 cases; late onset, n = 34 cases) or stillbirth (n = 24 cases; early onset, n = 13 cases; late onset, n = 8 cases; term onset, n = 3 cases) and 80 selected gestational-age-matched controls (normal term pregnancies) using real-time RT-PCR. Altered expressions of nine microRNAs (upregulation of miR-1-3p, miR-16-5p, miR-17-5p, miR-26a-5p, miR-146a-5p, and miR-181a-5p and downregulation of miR-130b-3p, miR-342-3p, and miR-574-3p) were observed in pregnancies with the occurrence of a miscarriage or stillbirth. The screening based on the combination of these nine microRNA biomarkers revealed 99.01% cases at a 10.0% false positive rate (FPR). The predictive model for miscarriage only was based on the altered gene expressions of eight microRNA biomarkers (upregulation of miR-1-3p, miR-16-5p, miR-17-5p, miR-26a-5p, miR-146a-5p, and miR-181a-5p and downregulation of miR-130b-3p and miR-195-5p). It was able to identify 80.52% cases at a 10.0% FPR. Highly efficient early identification of later occurrences of stillbirth was achieved via the combination of eleven microRNA biomarkers (upregulation of miR-1-3p, miR-16-5p, miR-17-5p, miR-20a-5p, miR-146a-5p, and miR-181a-5p and downregulation of miR-130b-3p, miR-145-5p, miR-210-3p, miR-342-3p, and miR-574-3p) or, alternatively, by the combination of just two upregulated microRNA biomarkers (miR-1-3p and miR-181a-5p). The predictive power achieved 95.83% cases at a 10.0% FPR and, alternatively, 91.67% cases at a 10.0% FPR. The models based on the combination of selected cardiovascular-disease-associated microRNAs had very high predictive potential for miscarriages or stillbirths and may be implemented in routine first-trimester screening programs.
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Affiliation(s)
- Ilona Hromadnikova
- Department of Molecular Biology and Cell Pathology, Third Faculty of Medicine, Charles University, 14700 Prague, Czech Republic
| | - Katerina Kotlabova
- Department of Molecular Biology and Cell Pathology, Third Faculty of Medicine, Charles University, 14700 Prague, Czech Republic
| | - Ladislav Krofta
- Institute for the Care of the Mother and Child, Third Faculty of Medicine, Charles University, 14700 Prague, Czech Republic
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Brancaccio M, Giachino C, Iazzetta AM, Cordone A, De Marino E, Affinito O, Vivo M, Calabrò V, Pollice A, Angrisano T. Integrated Bioinformatics Analysis Reveals Novel miRNA as Biomarkers Associated with Preeclampsia. Genes (Basel) 2022; 13:genes13101781. [PMID: 36292666 PMCID: PMC9601722 DOI: 10.3390/genes13101781] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Revised: 09/27/2022] [Accepted: 09/27/2022] [Indexed: 11/04/2022] Open
Abstract
Preeclampsia is a leading cause of perinatal maternal-foetal mortality and morbidity. This study aims to identify the key microRNAs (miRNA) in preeclampsia and uncover their potential functions. We downloaded the miRNA expression profile of GSE119799 for plasma and GSE177049 for the placenta. Each dataset consisted of five patients (PE) and five controls (N). From a technical point of view, we analysed the counts per million (CPM) for both datasets, highlighting 358 miRNAs in common, 78 unique for plasma and 298 unique for placenta. At the same time, we performed an expression differential analysis (|logFC| ≥ 1|and FDR ≤ 0.05) to evaluate the biological impact of the miRNAs. This approach allowed us to highlight 321 miRNAs in common between plasma and placenta, within which four were upregulated in plasma. Furthermore, the same analysis revealed five miRNAs expressed exclusively in plasma; these were also upregulated. In conclusion, the in-depth bioinformatics analysis conducted during our study will allow us, on the one hand, to verify the targets of each of the nine identified miRNAs; on the other hand, to use them both as new non-invasive biomarkers and as therapeutic targets for the development of personalised treatments.
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Affiliation(s)
- Mariarita Brancaccio
- Department of Molecular Medicine and Medical Biotechnology, University of Naples Federico II, 80131 Naples, Italy
- Correspondence: (M.B.); (T.A.); Tel.: +39-33-93121924 (M.B.); +39-34-94670474 (T.A.)
| | - Caterina Giachino
- Department of Biology, University of Naples Federico II, 80126 Naples, Italy
| | | | - Antonio Cordone
- Department of Biology, University of Naples Federico II, 80126 Naples, Italy
| | - Elena De Marino
- Department of Biology, University of Naples Federico II, 80126 Naples, Italy
| | - Ornella Affinito
- Department of Molecular Medicine and Medical Biotechnology, University of Naples Federico II, 80131 Naples, Italy
| | - Maria Vivo
- Department of Chemistry and Biology, University of Salerno, 84084 Fisciano, Italy
| | - Viola Calabrò
- Department of Biology, University of Naples Federico II, 80126 Naples, Italy
| | - Alessandra Pollice
- Department of Biology, University of Naples Federico II, 80126 Naples, Italy
| | - Tiziana Angrisano
- Department of Biology, University of Naples Federico II, 80126 Naples, Italy
- Correspondence: (M.B.); (T.A.); Tel.: +39-33-93121924 (M.B.); +39-34-94670474 (T.A.)
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Abbaskhani H, Seifati SM, Salmani T, Vojdani S, Al-Rubaye S, Yaseen R, Hajiesmaeili Y, Ghaderian SMH. Evaluating changes in the expression of BCL-2 gene, lncRNA SRA, and miR-361-3p in unexplained recurrent pregnancy loss. NUCLEOSIDES, NUCLEOTIDES & NUCLEIC ACIDS 2022; 41:891-899. [PMID: 35737431 DOI: 10.1080/15257770.2022.2085298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Revised: 05/29/2022] [Accepted: 05/29/2022] [Indexed: 06/15/2023]
Abstract
Unexplained recurrent pregnancy loss (RPL) composed almost half of all diagnosed miscarriage cases. As the apoptosis pathway is involved in the pregnancy process the present investigation aimed to assess the differential expression of the BCL-2 gene, SRA lncRNA, miR-361-3p in unexplained RPL patients. In this study, RNA was isolated from 50 blood samples of people with a history of RPL, and 50 blood samples of people with healthy fertility. After cDNA synthesis from these samples, alterations in the expression levels of the above-mentioned genes were examined by Real-Time PCR. Our results showed that the expression of BCL-2 and lncRNA SRA was significantly higher in the blood samples of RPL patients than in controls, while the expression of miR-361-3p was significantly downregulated. Besides, there were significant correlations between the changes in the expression of lncRNA SRA and miR-361-3p with BCL-2, in positive and negative directions, respectively. Also, miR-361-3p presented as a good diagnostic marker with the highest AUC value to discriminate between RPL and the healthy control subjects. These results proposed that ncRNAs may have a significant role in the regulation of apoptosis relates genes expression in RPL.
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Affiliation(s)
- Haleh Abbaskhani
- Biology Department, Medical Biotechnology Research Center, Ashkezar Branch, Islamic Azad University, Ashkezar, Yazd, Iran
| | - Seyed Morteza Seifati
- Biology Department, Medical Biotechnology Research Center, Ashkezar Branch, Islamic Azad University, Ashkezar, Yazd, Iran
| | - Tayyebali Salmani
- Department of Medical Genetics, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Samaneh Vojdani
- Department of Medical Genetics, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Saja Al-Rubaye
- Department of Medical Genetics, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Rusul Yaseen
- Department of Medical Genetics, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | | | - Sayyed Mohammad Hossein Ghaderian
- Department of Medical Genetics, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
- Urogenital Stem Cell Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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Liu J, Gu Y, Zhu W, Zhang Z, Xin Y, Shen Y, He L, Du J. Expression profiles of circular RNA in human placental villus and decidua and prediction of drugs for recurrent spontaneous abortion. Am J Reprod Immunol 2022; 88:e13578. [PMID: 35583158 DOI: 10.1111/aji.13578] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Revised: 04/27/2022] [Accepted: 05/13/2022] [Indexed: 11/29/2022] Open
Abstract
PROBLEM We aimed to evaluate potential biomarkers and candidate drugs for recurrent spontaneous abortion (RSA) and explore functional circular RNA pathways involved in regulating RSA. METHOD OF STUDY Expression profiles of placental villus and decidua samples derived from females with RSA and those with healthy pregnancies who underwent induced abortion were analyzed using high-throughput RNA whole transcriptome sequencing. Abnormally expressed circular RNAs in a larger cohort of samples were validated using real-time quantitative polymerase chain reaction. Drug discovery and molecular docking were performed using online databases and the Autodock tool, respectively. RESULTS In total, 2103 and 2160 circular RNAs were detected in three pairs of villi and three pairs of decidual tissues, respectively. A total of 22 circular RNAs, 58 miRNAs, and 393 mRNAs with significantly different expression patterns were identified. Five circular RNAs were verified, and the expression of hsa_circ_0088485 was significantly upregulated in the RSA group (P = .041) with a high area under the curve value (.727), sensitivity (76.5%), and specificity (64.7%). GO and KEGG enrichment analyses indicated that differentially expressed genes were associated with angiogenesis and cell adhesion. Drug discovery and molecular docking were analyzed based on 93 differentially expressed mRNAs of the ceRNA network. A total of 36 chemicals were identified as putative bioactive molecules for RSA, and one representative chemical was identified for docking with six proteins. CONCLUSIONS These findings provide novel insights into the mechanism of regulation of RSA by circular RNA and its clinical diagnosis and treatment.
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Affiliation(s)
- Junwei Liu
- NHC Key Lab of Reproduction Regulation (Shanghai Institute for Biomedical and Pharmaceutical Technologies), School of Pharmacy, Fudan University, Shanghai, China
| | - Yan Gu
- The Second Hospital of Tianjin Medical University, Tianjin, China
| | - Weiqiang Zhu
- NHC Key Lab of Reproduction Regulation (Shanghai Institute for Biomedical and Pharmaceutical Technologies), School of Pharmacy, Fudan University, Shanghai, China
| | - Zhaofeng Zhang
- NHC Key Lab of Reproduction Regulation (Shanghai Institute for Biomedical and Pharmaceutical Technologies), School of Pharmacy, Fudan University, Shanghai, China
| | - Yawei Xin
- The Second Hospital of Tianjin Medical University, Tianjin, China
| | - Yupei Shen
- NHC Key Lab of Reproduction Regulation (Shanghai Institute for Biomedical and Pharmaceutical Technologies), School of Pharmacy, Fudan University, Shanghai, China
| | - Lin He
- Bio-X Center, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
| | - Jing Du
- NHC Key Lab of Reproduction Regulation (Shanghai Institute for Biomedical and Pharmaceutical Technologies), School of Pharmacy, Fudan University, Shanghai, China
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