非编码RNA对妊娠期糖尿病发生发展的调控作用
Regulation of Non-Coding RNA on the Development of Gestational Diabetes Mellitus
DOI: 10.12677/acm.2024.1461911, PDF,   
作者: 覃珍华, 黄 波*:桂林医学院公共卫生学院,广西 桂林
关键词: 妊娠期糖尿病非编码RNA微小RNA环状RNAGestational Diabetes Mellitus Non-Coding RNA MicroRNAs Circular RNA
摘要: 妊娠期糖尿病(GDM)是最常见的妊娠过程中并发症,严重威胁母婴健康和生命安全。非编码RNA (ncRNA)是一类不编码蛋白质的RNA,包括微小RNA (miRNA)、长链非编码RNA (lncRNA)和环状RNA (circRNA)。研究表明,ncRNA在GDM的发生发展中发挥重要作用,因此本文对ncRNA在GDM的关系作一综述,为进一步了解GDM和管理提供理论依据。
Abstract: Gestational diabetes mellitus (GDM) is the most common complication during pregnancy and seriously threatens the health and safety of the mother and child. Non-coding RNAs (ncRNAs) are a class of RNAs that do not code for proteins, including microRNAs (miRNAs), long-stranded non-coding RNAs (lnc RNAs) and circular RNAs (circRNAs). Studies have shown that ncRNAs play important roles in the occurrence and development of GDM. Therefore, this paper reviews the relationship between ncRNAs and GDM to provide a theoretical basis for further understanding GDM and its management.
文章引用:覃珍华, 黄波. 非编码RNA对妊娠期糖尿病发生发展的调控作用[J]. 临床医学进展, 2024, 14(6): 1288-1295. https://doi.org/10.12677/acm.2024.1461911

参考文献

[1] American Diabetes Association Professional Practice Committee (2021) 2. Classification and Diagnosis of Diabetes: Standards of Medical Care in Diabetes—2022. Diabetes Care, 45, S17-S38. [Google Scholar] [CrossRef] [PubMed]
[2] Hu, G., Liu, H., Leng, J., Wang, L., Li, W., Zhang, S., et al. (2022) Effects of a Lifestyle Intervention in Young Women with GDM and Subsequent Diabetes. Nutrients, 14, Article 5232. [Google Scholar] [CrossRef] [PubMed]
[3] Tian, M., Du, L., Ma, G., Zhang, T., Ma, X., Zhang, Y., et al. (2022) Secular Increase in the Prevalence of Gestational Diabetes and Its Associated Adverse Pregnancy Outcomes from 2014 to 2021 in Hebei Province, China. Frontiers in Endocrinology, 13, Article 1039051. [Google Scholar] [CrossRef] [PubMed]
[4] Kek, H., Su, Y., Tey, S., Yang, M., Chang, L., Hung, Y., et al. (2023) The Joint Effect of Gestational Diabetes Mellitus and Hypertension Contribute to Higher Risk of Diabetes Mellitus After Delivery: A Nationwide Population-Based Study. BMC Pregnancy and Childbirth, 23, Article No. 539. [Google Scholar] [CrossRef] [PubMed]
[5] Parikh, N.I., Gonzalez, J.M., Anderson, C.A.M., Judd, S.E., Rexrode, K.M., Hlatky, M.A., et al. (2021) Adverse Pregnancy Outcomes and Cardiovascular Disease Risk: Unique Opportunities for Cardiovascular Disease Prevention in Women: A Scientific Statement from the American Heart Association. Circulation, 143, e902-e916. [Google Scholar] [CrossRef] [PubMed]
[6] Alejandro, E.U., Mamerto, T.P., Chung, G., Villavieja, A., Gaus, N.L., Morgan, E., et al. (2020) Gestational Diabetes Mellitus: A Harbinger of the Vicious Cycle of Diabetes. International Journal of Molecular Sciences, 21, Article 5003. [Google Scholar] [CrossRef] [PubMed]
[7] American Diabetes Association Professional Practice Committee (2021) 15. Management of Diabetes in Pregnancy: Standards of Medical Care in Diabetes—2022. Diabetes Care, 45, S232-S243. [Google Scholar] [CrossRef] [PubMed]
[8] Alles, J., Fehlmann, T., Fischer, U., Backes, C., Galata, V., Minet, M., et al. (2019) An Estimate of the Total Number of True Human miRNAs. Nucleic Acids Research, 47, 3353-3364. [Google Scholar] [CrossRef] [PubMed]
[9] Mori, T., Ngouv, H., Hayashida, M., Akutsu, T. and Nacher, J.C. (2018) ncRNA-Disease Association Prediction Based on Sequence Information and Tripartite Network. BMC Systems Biology, 12, Article No. 37. [Google Scholar] [CrossRef] [PubMed]
[10] Wang, H., Tang, J., Ding, Y. and Guo, F. (2021) Exploring Associations of Non-Coding Rnas in Human Diseases via Three-Matrix Factorization with Hypergraph-Regular Terms on Center Kernel Alignment. Briefings in Bioinformatics, 22, bbaa409. [Google Scholar] [CrossRef] [PubMed]
[11] Li, Z., Zhong, T., Huang, D., You, Z. and Nie, R. (2022) Hierarchical Graph Attention Network for miRNA-Disease Association Prediction. Molecular Therapy, 30, 1775-1786. [Google Scholar] [CrossRef] [PubMed]
[12] O'Brien, J., Hayder, H., Zayed, Y. and Peng, C. (2018) Overview of Microrna Biogenesis, Mechanisms of Actions, and Circulation. Frontiers in Endocrinology, 9, Article 402. [Google Scholar] [CrossRef] [PubMed]
[13] Treiber, T., Treiber, N. and Meister, G. (2018) Regulation of Microrna Biogenesis and Its Crosstalk with Other Cellular Pathways. Nature Reviews Molecular Cell Biology, 20, 5-20. [Google Scholar] [CrossRef] [PubMed]
[14] Peng, X., Wang, Q., Li, W., Ge, G., Peng, J., Xu, Y., et al. (2023) Comprehensive Overview of Microrna Function in Rheumatoid Arthritis. Bone Research, 11, Article No. 8. [Google Scholar] [CrossRef] [PubMed]
[15] Burger, K. and Gullerova, M. (2015) Swiss Army Knives: Non-Canonical Functions of Nuclear Drosha and Dicer. Nature Reviews Molecular Cell Biology, 16, 417-430. [Google Scholar] [CrossRef] [PubMed]
[16] Gregory, R.I., Yan, K., Amuthan, G., Chendrimada, T., Doratotaj, B., Cooch, N., et al. (2004) The Microprocessor Complex Mediates the Genesis of Micrornas. Nature, 432, 235-240. [Google Scholar] [CrossRef] [PubMed]
[17] Hutvágner, G., McLachlan, J., Pasquinelli, A.E., Bálint, E., Tuschl, T. and Zamore, P.D. (2001) A Cellular Function for the Rna-Interference Enzyme Dicer in the Maturation of the let-7 Small Temporal RNA. Science, 293, 834-838. [Google Scholar] [CrossRef] [PubMed]
[18] Santovito, D. and Weber, C. (2022) Non-Canonical Features of Micrornas: Paradigms Emerging from Cardiovascular Disease. Nature Reviews Cardiology, 19, 620-638. [Google Scholar] [CrossRef] [PubMed]
[19] Addo, K.A., Palakodety, N., Hartwell, H.J., Tingare, A. and Fry, R.C. (2020) Placental Micrornas: Responders to Environmental Chemicals and Mediators of Pathophysiology of the Human Placenta. Toxicology Reports, 7, 1046-1056. [Google Scholar] [CrossRef] [PubMed]
[20] 檀丽, 彭巧捷, 陈丽春. 妊娠期糖尿病胎盘中miR-95、-548am、-1246的表达及其与脂肪细胞因子、葡萄糖转运体的关系 [J]. 海南医学院学报, 2016, 22(23): 2797-9+803.
[21] Zhang, L., Li, K., Tian, S., Wang, X., Li, J., Dong, Y., et al. (2021) Down-regulation of microRNA-30d-5p Is Associated with Gestational Diabetes Mellitus by Targeting RAB8A. Journal of Diabetes and its Complications, 35, Article ID: 107959. [Google Scholar] [CrossRef] [PubMed]
[22] Jayabalan, N., Scholz-Romero, K., Guanzon, D., Lai, A., Mcintyre, D., Lappas, M., et al. (2020) 1972-P: Adipose Tissue-Derived Exosomal Microrna Regulates Placental Glucose Uptake in Gestational Diabetes Mellitus Pregnancies. Diabetes, 69, 1972-P. [Google Scholar] [CrossRef
[23] Guan, C., Cao, J., Zhang, L., Wang, X., Ma, X. and Xia, H. (2022) Mir-199a Is Upregulated in GDM Targeting the MeCP2-Trpc3 Pathway. Frontiers in Endocrinology, 13, Article 917386. [Google Scholar] [CrossRef] [PubMed]
[24] Radojičić, O., Dobrijević, Z., Robajac, D., Gligorijević, N., Mandić Marković, V., Miković, Ž., et al. (2022) Gestational Diabetes Is Associated with an Increased Expression of Mir-27a in Peripheral Blood Mononuclear Cells. Molecular Diagnosis & Therapy, 26, 421-435. [Google Scholar] [CrossRef] [PubMed]
[25] Zhang, X., Wang, W., Zhu, W., Dong, J., Cheng, Y., Yin, Z., et al. (2019) Mechanisms and Functions of Long Non-Coding Rnas at Multiple Regulatory Levels. International Journal of Molecular Sciences, 20, Article 5573. [Google Scholar] [CrossRef] [PubMed]
[26] Schmitt, A.M. and Chang, H.Y. (2017) Long Noncoding Rnas: At the Intersection of Cancer and Chromatin Biology. Cold Spring Harbor Perspectives in Medicine, 7, a026492. [Google Scholar] [CrossRef] [PubMed]
[27] Zhang, X., Tang, X., Hamblin, M.H. and Yin, K. (2018) Long Non-Coding RNA Malat1 Regulates Angiogenesis in Hindlimb Ischemia. International Journal of Molecular Sciences, 19, Article 1723. [Google Scholar] [CrossRef] [PubMed]
[28] Yao, J., Wang, X., Li, Y., Shan, K., Yang, H., Wang, Y., et al. (2022) Long Non‐coding RNA MALAT1 Regulates Retinal Neurodegeneration through CREB Signaling. EMBO Molecular Medicine, 14, e15623. [Google Scholar] [CrossRef] [PubMed]
[29] Munschauer, M., Nguyen, C.T., Sirokman, K., Hartigan, C.R., Hogstrom, L., Engreitz, J.M., et al. (2018) The NORAD Lncrna Assembles a Topoisomerase Complex Critical for Genome Stability. Nature, 561, 132-136. [Google Scholar] [CrossRef] [PubMed]
[30] Mohamadi, M., Ghaedi, H., Kazerouni, F., Erfanian Omidvar, M., Kalbasi, S., Shanaki, M., et al. (2019) Deregulation of Long Noncoding RNA SNHG17 and TTC28-AS1 Is Associated with Type 2 Diabetes Mellitus. Scandinavian Journal of Clinical and Laboratory Investigation, 79, 519-523. [Google Scholar] [CrossRef] [PubMed]
[31] Li, J., Du, B., Geng, X. and Zhou, L. (2021) Lncrna SNHG17 Is Downregulated in Gestational Diabetes Mellitus (GDM) and Has Predictive Values. Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy, 14, 831-838. [Google Scholar] [CrossRef] [PubMed]
[32] Zhang, Y., Qu, L., Ni, H., Wang, Y., Li, L., Yang, X., et al. (2020) Expression and Function of Lncrna MALAT1 in Gestational Diabetes Mellitus. Advances in Clinical and Experimental Medicine, 29, 903-910. [Google Scholar] [CrossRef] [PubMed]
[33] Ran, G., Zhu, X. and Qin, Y. (2021) Lncrna SOX2OT Is Upregulated in Gestational Diabetes Mellitus (GDM) and Correlated with Multiple Adverse Events. Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy, 14, 3989-3995. [Google Scholar] [CrossRef] [PubMed]
[34] Cao, M., Zhang, L., Lin, Y., Li, Z., Xu, J., Shi, Z., et al. (2020) Differential Mrna and Long Noncoding RNA Expression Profiles in Umbilical Cord Blood Exosomes from Gestational Diabetes Mellitus Patients. DNA and Cell Biology, 39, 2005-2016. [Google Scholar] [CrossRef] [PubMed]
[35] Yang, F., Chen, Y., Xue, Z., Lv, Y., Shen, L., Li, K., et al. (2020) High-throughput Sequencing and Exploration of the lncRNA-circRNA-miRNA-mRNA Network in Type 2 Diabetes Mellitus. BioMed Research International, 2020, Article ID: 8162524. [Google Scholar] [CrossRef] [PubMed]
[36] Leng, L., Zhang, C., Ren, L. and Li, Q. (2018) Construction of a Long Non-Coding Rna-Mediated Competitive Endogenous RNA Network Reveals Global Patterns and Regulatory Markers in Gestational Diabetes. International Journal of Molecular Medicine, 43, 927-935. [Google Scholar] [CrossRef] [PubMed]
[37] Ornoy, A., Becker, M., Weinstein-Fudim, L. and Ergaz, Z. (2021) Diabetes during Pregnancy: A Maternal Disease Complicating the Course of Pregnancy with Long-Term Deleterious Effects on the Offspring: A Clinical Review. International Journal of Molecular Sciences, 22, Article 2965. [Google Scholar] [CrossRef] [PubMed]
[38] Kampmann, U., Knorr, S., Fuglsang, J. and Ovesen, P. (2019) Determinants of Maternal Insulin Resistance during Pregnancy: An Updated Overview. Journal of Diabetes Research, 2019, Article ID: 5320156. [Google Scholar] [CrossRef] [PubMed]
[39] Shi, Z., Zhao, C., Long, W., Ding, H. and Shen, R. (2015) Microarray Expression Profile Analysis of Long Non-Coding Rnas in Umbilical Cord Plasma Reveals Their Potential Role in Gestational Diabetes-Induced Macrosomia. Cellular Physiology and Biochemistry, 36, 542-554. [Google Scholar] [CrossRef] [PubMed]
[40] Guiyu, S., Quan, N., Ruochen, W., Dan, W., Bingnan, C., Yuanyua, L., et al. (2021) LncRNA-SNX17 Promotes HTR-8/SVneo Proliferation and Invasion through miR-517a/IGF-1 in the Placenta of Diabetic Macrosomia. Reproductive Sciences, 29, 596-605. [Google Scholar] [CrossRef] [PubMed]
[41] Su, R., Wang, C., Feng, H., Lin, L., Liu, X., Wei, Y., et al. (2016) Alteration in Expression and Methylation of IGF2/H19 in Placenta and Umbilical Cord Blood Are Associated with Macrosomia Exposed to Intrauterine Hyperglycemia. PLOS ONE, 11, e0148399. [Google Scholar] [CrossRef] [PubMed]
[42] Lu, J., Wu, J., Zhao, Z., Wang, J. and Chen, Z. (2018) Circulating Lncrna Serve as Fingerprint for Gestational Diabetes Mellitus Associated with Risk of Macrosomia. Cellular Physiology and Biochemistry, 48, 1012-1018. [Google Scholar] [CrossRef] [PubMed]
[43] Hsu, M. and Coca-Prados, M. (1979) Electron Microscopic Evidence for the Circular Form of RNA in the Cytoplasm of Eukaryotic Cells. Nature, 280, 339-340. [Google Scholar] [CrossRef] [PubMed]
[44] Liu, C. and Chen, L. (2022) Circular RNAs: Characterization, Cellular Roles, and Applications. Cell, 185, 2016-2034. [Google Scholar] [CrossRef] [PubMed]
[45] Yuan, Y., Gong, Y., Zhong, L., et al. (2022) Circular RNA Expression Profile and Competing Endogenous RNA Regulatory Network in Preeclampsia. Placenta, 119, 32-38. [Google Scholar] [CrossRef] [PubMed]
[46] Yuan, Y., Gong, Y., Zhong, L., Ding, X., Yang, Z., Su, X., et al. (2022) Circular RNA Expression Profile and Competing Endogenous RNA Regulatory Network in Preeclampsia. Placenta, 119, 32-38. [Google Scholar] [CrossRef] [PubMed]
[47] Hua, F. (2020) New Insights into Diabetes Mellitus and Its Complications: A Narrative Review. Annals of Translational Medicine, 8, 1689-1689. [Google Scholar] [CrossRef] [PubMed]
[48] Liang, H., Hou, L., Wang, Q., et al. (2021) Serum hsa_circ_0054633 Is Elevated and Correlated with Clinical Features in Type 2 Diabetes Mellitus. Annals of Clinical and Laboratory Science, 51, 90-96.
[49] Yan, L., Feng, J., Cheng, F., Cui, X., Gao, L., Chen, Y., et al. (2018) Circular RNA Expression Profiles in Placental Villi from Women with Gestational Diabetes Mellitus. Biochemical and Biophysical Research Communications, 498, 743-750. [Google Scholar] [CrossRef] [PubMed]
[50] Wang, H., She, G., Zhou, W., Liu, K., Miao, J. and Yu, B. (2019) Expression Profile of Circular Rnas in Placentas of Women with Gestational Diabetes Mellitus. Endocrine Journal, 66, 431-441. [Google Scholar] [CrossRef] [PubMed]
[51] Tang, L., Li, P. and Li, L. (2020) Whole Transcriptome Expression Profiles in Placenta Samples from Women with Gestational Diabetes Mellitus. Journal of Diabetes Investigation, 11, 1307-1317. [Google Scholar] [CrossRef] [PubMed]
[52] Chen, H., Zhang, S., Wu, Y., Li, Z., Wang, D., Cai, S., et al. (2021) The Role of Circular RNA Circ_0008285 in Gestational Diabetes Mellitus by Regulating the Biological Functions of Trophoblasts. Biological Research, 54, Article No. 14. [Google Scholar] [CrossRef] [PubMed]