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  • Open Access

Long non-coding RNA MIAT in development and disease: a new player in an old game

Journal of Biomedical Science201825:23

https://doi.org/10.1186/s12929-018-0427-3

  • Received: 29 November 2017
  • Accepted: 6 March 2018
  • Published:

Abstract

Background

Long non-coding RNAs (lncRNAs), which are a portion of non-protein-coding RNAs (ncRNAs), have manifested a paramount role in the pathophysiology of human diseases, particularly in pathogenesis and progression of disease.

Main body of the abstract

Myocardial infarction associated transcript (MIAT), which was recently found to demonstrate aberrant expression in various diseases, such as myocardial infarction, schizophrenia, ischemic stroke, diabetic complications, age-related cataract and cancers, is a novel disease-related lncRNA. This work summarize current evidence regarding the biological functions and underlying mechanisms of lncRNA MIAT during disease development.

Short conclusion

LncRNA MIAT likely represents a feasible cancer biomarker or therapeutic target.

Keywords

  • Long non-coding RNA
  • LncRNA
  • MIAT
  • Diseases

Background

With advancements in global transcriptome profiling technique, the deregulation of lncRNAs has recently been demonstrated to be related to various human diseases, including most notably cancers [1, 2], neurological disorders [3], and cardiovascular diseases [4, 5]. Increasingly, some lncRNAs play a crucial role in cancer progression, such as proliferation, invasion and metastasis [6, 7]. Consequently, lncRNAs may be regarded as a promising marker for the prognosis of cancer [8]. According to the draft of the human genome project (HGP), the human genome contains only approximately 20,000 protein-coding genes, which accounts for less than 2% of the entire genome. Generally, at least 70% of the sequences are transcribed into RNAs in higher eukaryotic genomes. To our knowledge, most of these transcripts are ncRNAs, which were originally regarded as transcriptional noise and attracted limited attention [9].

LncRNAs are currently defined as a large and heterogeneous class of transcribed RNA molecules, which lack an open reading frame of significant length, and the length of lncRNA is greater than 200 nucleotides. Similar to protein-coding RNAs, the majority of lncRNAs are RNA polymerase II transcripts with a poly-A tail and 5′ cap. Interestingly, most lncRNAs are predominantly localized within the cell nucleus, and exhibit either lower evolutionary conservation or lower expression level than mRNAs [1012]. Much of works have demonstrated that lncRNAs could regulate gene expression levels, post-transcriptional modifications, bind to transcription factors or miRNAs, and play modulator roles in many biological processes [1315]. Thus, knowledge about their unique RNA properties, more tissue-specific expression fashion and more stable structure, it is expected that lncRNAs might advance our understanding of disease progression and unveil novel biomarkers for diagnosis and prognosis.

MIAT, also termed as Gomafu in human or Rncr2 in mouse [1618], is a promising functional factor among all disease-associated lncRNAs, and exhibits deregulation in multiple diseases, including up-regulation in ischemic stroke, myocardial infarction, neuroendocrine prostate cancer, non-small-cell lung cancer, diabetic cardiomyopathy, cataract, chronic chagas disease cardiomyopathy, chronic lymphocytic leukemia and down-regulation in schizophrenia, diabetic nephropathy, bone disease. The present review summarizes current studies concerning the abnormal expression, biological function, molecular mechanism and clinical significance of MIAT in the initiation and progression of human diseases (Table 1).
Table 1

Functional characterization of MIAT in diseases

Disease type

Expression

Function

Related gene

Tissue

Animal

Role

Ref

Myocardial infarction

Up

Proliferation

miR-24/Furin/TGF-β1

Cardiac

Mouse

Pathogenesis

18, 31, 32

Schizophrenia

Down

Differention, maintenance

QKI/SRSF1/DISC1/ERBB4/DRD2/GRM3

Brain

Mouse

Pathogenesis

40–42

Ischemic stroke

Up

N.D.

N.D.

Blood

N.D.

Pathogenesis

37

Diabetic cardiomyopathy

Up

Apoptosis

miR-22-3p/DAPK2

Cardiac

Rat

Pathogenesis

56

Diabetic nephropathy

Down

Viability

Nrf2

Kidney

Rat

Pathogenesis

57

Cataract

Up

Proliferation, apoptosis

Migration

miR-150-5p/Akt

Eye

N.D.

Pathogenesis

58

Bone disease

Down

Migration

N.D.

Adipose

N.D.

Pathogenesis

59

Chronic chagas disease cardiomyopathy

Up

N.D.

N.D.

Heart

Mouse

Pathogenesis

60

Chronic lymphocytic leukemia

Up

Proliferation

Apoptosis

OCT4

Blood

N.D.

Pathogenesis

61

Neuroendocrine prostate cancer

Up

N.D.

N.D.

Prostate

N.D.

Oncogenic

47

Non-small-cell lung cancer

Up

Invasion

miR-150/ZEB1

Lung

N.D.

Oncogenic

52

Abbreviation: N.D. Not determined, TGF-β1 transforming growth factor β1, QKI quaking homolog, DISC1 disrupted in schizophrenia 1, ERBB4 v-erb-a erythroblastic leukemia viral oncogene homolog 4, DAPK2 Death Associated Protein Kinase 2

Discovery and characterization of lncRNA MIAT

MIAT, which was initially reported in 2000 [19], is located at 22q12.1 with a length of 30,051 bp. Originally, through a large-scale case-control association study using 52,608 haplotype-based single nucleotide polymorphism (SNP) markers, Ishii et al. identified a susceptible locus for myocardial infarction. As a result, within this locus, they isolated a complete cDNA of a novel gene, designated MIAT [18]. In addition, this gene consists of five exons and all the splice junctions are considered to conform to the basic GT/AG rule [20, 21].

Though conventional sequence alignment searches did not identify any nonmammalian orthologous genes of MIAT [17], however, a search identified putative MIAT was orthologous to chick and Xenopus tropicalis. Interestingly, multiple clustered sequence repeats of the sequence ACUAACC were found in the largest exon of each orthologous gene, with anywhere from five to eight such repeats found within each transcript [22]. Furthermore, this repeat sequence includes the ACUAAY consensus recognition site for the RNA binding protein Quaking, which regulates both RNA subcellular localization and stability [23, 24], although the functional significance of this is unclear. In addition, unlike other nuclear-retained lncRNAs such as Xist and Air, MIAT shows no association with chromatin and is tightly associated with the nuclear matrix [17]. Generally, MIAT is highly conserved in placental mammals, and appears to be conserved back to amphibians [18, 25].

LncRNA MIAT in human diseases

Cardiovascular system diseases

Myocardial infarction

Myocardial infarction (MI), which accounts for the leading cause of death in the worldwide [26, 27], is characterized by myocardial remodeling processes involving left ventricular dilation, cardiomyocyte hypertrophy, arrhythmias, cardiac fibrosis, and cell death accompanied by altered expression of genes, leading to heart failure [2830].

Constant researches have led to the fact that MIAT is involved in MI. Ishii et al. originally identified that the aberrant expression of one SNP rs2301523 was related to the pathogenesis of MI. Subsequently, through a large-scale case-control association study using 52,608 gene-based genome-wide tag SNPs, they found that this SNP in MIAT, due to its altered expression by the single nucleotide polymorphism, which had a significant association with the pathogenesis of MI [18]. Through the quantitative PCR technology, Vausort et al. found that Patients with STEMI (ST-elevation myocardial infarction) had lower levels of MIAT in peripheral blood cells compared to patients with NSTEMI. Of all the cardiovascular risk factors, the expression level of MIAT in MI patients was significantly associated with hypertension and smoking. Moreover, MIAT was positively associated with the percentage of lymphocytes and negatively associated with neutrophils and platelets in all the inflammation markers. In addition, according to their 4-month follow-up, the expression level of MIAT was a significant univariate predictor of LV dysfunction [31]. Qu et al. identified MIAT expression was remarkable up-regulated in a mouse model of MI heart compared with that in aninals contrals, Most notably, MIAT knokdown improved cardiac function and inhibited interstitial Fibrosis by inhibiting collagen production and cardiac fibroblasts proliferation [32]. These data suggest that MIAT may serve as a specific biomarker and therapeutic target for MI.

Ischemic stroke

Stroke is the leading cause of death and long-term disability in developed countries [33, 34]. Ischemic stroke (IS) is the most common form of stroke, accounting for approximately 87% of all cases [35, 36]. Thus, developing a noninvasive high-sensitive blood biomarker for early screening and monitoring of brain ischemia patients is feasible and valuable.

Zhu et al. indicated that MIAT expression level was significantly up-regulated in peripheral blood leukocytes of 189 IS patients compared with controls. Moreover, increased MIAT was markedly correlated with NIHSS scores, mRS, high-sensitivity C-reactive protein, and infarct volume in IS. In addition, the overall survival analysis showed that IS patients with higher MIAT expression had a relatively poor prognosis compared with the low group. Meanwhile, the multivariate analysis revealed that MIAT was an independent prognostic marker of functional outcome and death in patients with IS. Furthermore, ROC curves indicated that MIAT could serve as a potential marker for discriminating IS patients from the controls. [37].

Nervous system diseases

Schizophrenia

Schizophrenia (SCZ) disorder, a debilitating mental disorder affecting about 1% of the population [38], is believed to be the result of combinations of genetic and environmental factors resulting in brain dysfunction [39]. Aprea et al. have demonstrated the physiological roles of MIAT in differentiation of neurons and excitatory neurons in embryonic brain for the first time [40]. Then, Barry et al. further revealed that MIAT was significant decreased at 1 and 3 h and a returned to normal levels by 5 h.in a neuronal stimulation time course using depolarized mouse primary cortical neurons. Moreover, MIAT was observed significantly decreased in depolarized hiPSC-derived neurons. In addition, cortical MIAT was found significantly reduced by 1.75-fold in SCZ of post-mortem superior temporal gyrus in relative to controls [41].Afterwards, Rao et al. observed that rs1894720, one of eight tag SNPs that covered the whole MIAT locus, which was significantly associated with paranoid schizophrenia in two independent Han Chinese schizophrenia case–control cohorts(discovery sample from Shanxi Province: 1093 patients with paranoid schizophrenia and 1180 control subjects; replication cohort from Jilin Province: 1255 cases and 1209 healthy controls) using a two-stage association analysis [42]. Hence, continuing and thorough exploration for MIAT may make a new breakthrough in the diagnosis and treatment of SCZ.

Cancers

Neuroendocrine prostate cancer

Prostate cancer (PCa) represents the second most frequently diagnosed neoplasm and is the fifth leading cause of cancer death worldwide [43]. Between 0.5 and 2% of newly diagnosed prostate neoplasms are classified as neuroendocrine PCa (NEPC), which is insensitive to all forms of hormonal treatment [44], is often diagnosed at a metastatic stage [45]. In addition, no treatment has demonstrated efficacy in extending the survival of NEPC patients, while median NEPC survival is only 7 months [46]. Crea et al. discovered that MIAT was the most highly up-regulated transcript in 18 prostatic adenocarcinoma and three NEPC models. Moreover, unsupervised hierarchical clustering demonstrated that MIAT expression could efficiently discriminate NEPC and adenocarcinoma samples in a clinical cohort. In addition, oncomine database analyses revealed that MIAT expression was restricted to a small percentage of PCas, with high metastatic potential, poor prognosis and frequent Rb mutations [47]. Notably, all those are hallmarks of NEPC [48, 49]. In general, MIAT displays advantageous characteristics as a novel biomarker and as a therapeutic target in prostate cancer.

Non-small-cell lung cancer

Lung cancer remains the leading cause of death from cancer worldwide [50]. Non-small-cell lung cancer (NSCLC), which accounts for approximately 80% of all lung cancer cases, is the primary category of lung cancer, and its prognosis is poor despite recent progress in chemotherapy [51]. Therefore, an urgent need to develop reliable prognostic biomarkers and molecular targets aimed to reduce the morbidity and mortality associated with NSCLC. Zhang et al. reported that the expression of MIAT in 31 NSCLC tissues was up-regulated compared to mixed 30 normal tissues. Furthermore, MIAT expression was significantly higher in all human lung cancer lines compared to control group. In addition, knockdown of MIAT substantially inhibited the invasive ability of NSCLC cells [52]. Taken together, MIAT may therefore serve as a valuable prognostic biomarker and therapeutic target for NSCLC.

Endocrine system diseases

Diabetes mellitus

Diabetes mellitus (DM) is commonly derived from the defects in insulin secretion or insulin action, or both of them and the chronic DM would induce the damage or dysfunction of several organs, such as heart, eyes, nerves, as well as kidney and blood vessels [53, 54]. Recently, MIAT emerged as a potential regulator for diabetic complications [55].

Diabetic cardiomyopathy (DCM), which is defined as myocardial dysfunction occurring in the absence of coronary artery disease and hypertension, carries a substantial risk for the subsequent development of heart failure. Zhou et al. demonstrated that the expression level of MIAT was up-regulated in the myocardium of diabetic rats and MIAT knockdown was found to inhibit apoptosis in cardiomyocytes exposed to high glucose. Moreover, decreased MIAT expression was shown to improve diabetic rats’ cardiac structure, such as LVEDD (left ventricular end-diastolic dimension) and LVESD (left ventricular end systolic diameter). In addition, LVFS (left ventricular fractional shortening), LVEF (left ventricular ejection fraction) and E/A ratio, indicators of left ventricular systolic and diastolic function, could be improved by down-regulated MIAT in diabetic rats [56].

Diabetic nephropathy (DN) is one of the most common diabetic complications that develops secondary to diabetes, represents the leading cause of chronic kidney failure, and it remains a major contributor to increase morbidity and mortality among individuals with diabetes [55]. Zhou et al. discovered that MIAT wan lowly expressed in renal tubule of diabetic rats compared with that in normal controls. Moreover, down-regulated MIAT was negatively related to serum creatinine and BUN in diabetic rats. In addition, expression level of MIAT was significantly decreased in human renal tubular epithelial cells due to the increase of glucose. Biologically, MIAT over-expression significantly improved human renal tubular cell viability in vitro experiment [57]. These data suggested that MIAT was important for high glucose induced organ injury. Hence, MIAT is expected to serve as a novel diagnostic biomarker and therapeutic target.

Other diseases

Shen et al. reported that MIAT level was significantly up-regulated in the plasma fraction of cataract patients, MIAT knockdown could affect the proliferation, apoptosis and migration of Human lens epithelial cells (HLECs) [58]. Jin et al. indicated the expression of MIAT was down-regulated in a time-dependent manner during human adipose-derived stem cells (hASCs) osteo-induction, MIAT knockdown promoted osteogenic differentiation of hASCs both in vitro and in vivo. Furthermore, decreased MIAT expression reversed the negative effects of TNFα on osteoblast differentiation in hASCs [59]. Frade et al. confirmed that MIAT was specially increased in heart tissue biopsies from chronic chagas disease cardiomyopathy (CCC) patients but not in those from dilated cardiomyopathy (DCM) or control tissue. Moreover, overexpression of MIAT was confirmed in mouse model of T.cruzi infection [60]. Sattari et al. reported that MIAT was increased in malignant mature B cells including established cell lines of chronic lymphocytic leukemia (CLL) and non-Hodgkin lymphoma origin as well as primary leukemic cells obtained from CLL patients. Furthermore, decreased MIAT expression inhibited cell proliferation compared to the growth of control treated cells. These date suggested that MIAT functioned to protect malignant mature B cells from cell apoptosis [61].

Regulation mechanisms of MIAT

The competitive endogenous RNA (ceRNA) hypothesis has been proposed that protein-coding messenger RNAs and non-coding RNAs communicate with each other by competing for binding to shared miRNAs, a family of small non-coding RNAs responsible for the post-transcriptional regulation of gene expression [62]. The ceRNA regulatory network is a major mechanism of MIAT in disease development. Investigations had reported that MIAT, which worked as a ceRNA for miR-150-5p and constituted a MIAT/miR-150-5p/VEGF feedback loop, regulated endothelial and Müller cell function, such as proliferation, migration and apoptosis [55, 63]. Shen et al. found that MIAT acted as a ceRNA, and formed a MIAT/miR-150-5p/Akt feedback loop to regulate HLEC function, including proliferation, apoptosis and migration [58]. Qu et al. confirmed that MIAT functioned as a ceRNA for miR-24 to modulate Furin and TGF-β1 expression, suggested that a MIAT/miR-24/Furin/TGF-β1 modality participated in MI or other cardiac pathological processes associated with fibrosis [37]. Zhou et al. demonstrated that MIAT might function as a ceRNA to upregulate DAPK2 expression by sponging miR-22-3p, which consequently leaded to cardiomyocyte apoptosis involved in the pathogenesis of DCM [56]. Zhang et al. reported that MIAT could enhance the expression of ZEB1 by acting as a miR-150 sponge to promote cell invasion during NSCLC [52].

In addition to acting as a ceRNA, MIAT can also activate various signaling pathways. Zhou et al. discovered that MIAT over-expression enhanced Nrf2 (nuclear factor erythroid 2-related factor 2) expression in high glucose incubated renal tubular epithelial cell line HK-2, Furthermore, alteration of cellular MIAT expression level caused negatively expression of Nrf2 protein but had no effect on Nrf2 mRNA level. In addition, the MIAT was indicated to pro-stability act on Nrf2 expression in HK-2. Biologically, decreased MIAT expression reduced cell viability, whereas this inhibitory action was abrogated by Nrf2 overexpression. Hence, MIAT/Nrf2 signal axis might serve as an important signaling pathway for high glucose induced renal tubular epithelial injury [57]. Barry et al. revealed that MIAT strongly bound to the splicing regulator QKI and SRSF1 (serine/arginine-rich splicing factor 1) in nuclear compartment of SZ neuron. Furthermore, increased MIAT significantly decreased DISC1 (disrupted in schizophrenia 1), ERBB4 (v-erb-a erythroblastic leukemia viral oncogene homolog 4) and their alternatively spliced variants in SZ patient brains. In addition, the expression level of MIAT was related to dopamine (DRD2) and glutamate (GRM3) pathways, DRD2 splice-variant expression was reciprocally regulated by MIAT, GRM3 were upregulated by MIAT knockdown. Hence, MIAT expression might contribute to the pathophysiology of SZ by acting as a splicing factor scaffold for the SZ-associated splicing factor [36]. Sattari et al. showed that MIAT constituted positive feedback regulatory loop with its transcriptional regulator OCT4 to promote celluar proliferation in human malignant mature B cells [61]. These findings reveal the complexity of these interactions, which contribute to malignant transformation and disease progression.

Conclusion and future perspectives

MIAT, a well-characterized disease-related lncRNA, can impact cellular functions such as proliferation, apoptosis, and invasion in various human diseases. The regulatory mechanisms of MIAT are extraordinarily complicated and involve multiple steps (Fig. 1). The aberrant expression of MIAT exhibits a critical role in disease development, and may serve as a potential biomarker for diagnosis and prognosis. However, the chemical stability and expression levels of MIAT in biological specimens have not been clearly validated. Due to its strong disease specificity and reduced systemic toxicity, MIAT, which acts as a viable therapeutic target, is extremely promising. Taken together, the research that focuses on MIAT is still in the early stage, and some pivotal matters for its clinical application still need to be resolved. The detailed regulatory mechanisms upstream and downstream of MIAT should be paid attention to exploring, and consolidate the underlying mechanisms from the former. Undoubtedly, efforts to clarify the underlying mechanisms promise that MIAT will ultimately reach the clinic.
Fig. 1
Fig. 1

MIAT mediates mechanisms involved in disease progression

Abbreviations

BUN: 

Blood urea nitrogen

CCC: 

Chronic chagas disease cardiomyopathy

ceRNA: 

Competitive endogenous RNA

CLL: 

Chronic lymphocytic leukemia

DCM: 

Diabetic cardiomyopathy

DISC1: 

Disrupted in schizophrenia 1

DM: 

Diabetic mellitus

DN: 

Diabetic Nephropathy

ERBB4: 

v-erb-a erythroblastic leukemia viral oncogene homolog 4

hASCs: 

Human adipose-derived stem cells

HF: 

Heart failure

HGP: 

Human genome project

IS: 

Ischemic stroke

lncRNAs: 

Long non-coding RNAs

LV: 

Left ventricular

LVEDD: 

Left ventricular end-diastolic dimension

LVEF: 

Left ventricular ejection fraction

LVESD: 

Left ventricular end systolic diameter

LVFS: 

Left ventricular fractional shortening

MI: 

Myocardial infarction

MIAT: 

Myocardial infarction associated transcript

ncRNA: 

Noncoding RNA

NEPC: 

Neuroendocrine PCa

Nrf2: 

Nuclear factor erythroid 2-related factor 2

NSCLC: 

Non-small-cell lung cancer

PCa: 

Prostate cancer

SCZ: 

Schizophrenia

SNP: 

Single nucleotide polymorphism

SRSF1: 

Serine/arginine-rich splicing factor 1

STEMI: 

ST-elevation myocardial infarction

ZEB1: 

Zinc finger E-box binding homeobox 1

Declarations

Acknowledgements

Not applicable.

Funding

This study was funded by National Natural Science Foundation of China (81602088), China Postdoctoral Science Foundation (2017 M621305), Health and Family Planning Commission Research Project of Heilongjiang Province (2016–049), Heilongjiang Postdoctoral Science Foundation (LBH-Z16096) and Innovative Science Foundation of Harbin Medical University (2016LCZX09).

Availability of data and materials

Not applicable.

Authors’ contributions

CS wrote the manuscript. LNH and ZLL collected and interpreted date. KML and YX analyzed date. XMJ and YFC corrected and reviewed the manuscript. All authors read and approved the final manuscript.

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

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Authors’ Affiliations

(1)
Department of Hepatopancreatobiliary Surgery, The Second Affiliated Hospital of Harbin Medical University, No.246 XueFu Avenue, Harbin, Heilongjiang Province, China

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