Abstract
Maternal ethanol consumption during pregnancy can lead to a stereotypic cluster of fetal craniofacial, cardiovascular, skeletal, and neurological deficits that are collectively termed the fetal alcohol spectrum disorder (FASD). Fetal ethanol exposure is a leading non-genetic cause of mental retardation. Mechanisms underlying the etiology of ethanol teratology are varied and complex. This review will focus on the developing brain as an important and vulnerable ethanol target. Near the end of the first trimester, and during the second trimester, fetal neural stem cells (NSCs) produce most of the neurons of the adult brain, and ethanol has been shown to influence NSC renewal and maturation. We will discuss the neural developmental and teratological implications of the biogenesis and function of microRNAs (miRNAs), a class of small non-protein-coding RNAs that control the expression of gene networks by translation repression. A small but growing body of research has identified ethanol-sensitive miRNAs at different stages of NSC and brain maturation. While many miRNAs appear to be vulnerable to ethanol at specific developmental stages, a few, like the miR-9 family, appear to exhibit broad vulnerability to ethanol across multiple stages of NSC differentiation. An assessment of the regulation and function of these miRNAs provides important clues about the mechanisms that underlie fetal vulnerability to alterations in the maternal-fetal environment and yields insights into the genesis of FASD.
Heavy ethanol exposure during pregnancy can lead to fetal growth retardation, and to a constellation of craniofacial, cardiovascular, skeletal, and brain growth defects (Clarren et al., 1978; Clarren, 1986) that are collectively termed “Fetal Alcohol Spectrum Disorder” (FASD; Lemoine et al., 1968; Jones et al., 1973). Brain defects can include, microencephaly, the loss of the corpus callosum, and the emergence of heterotopias. FASD is a leading, non-genetic cause of mental retardation. Epidemiological studies (SAMHSA, 2009) show that 6.8% of pregnant women report continued ethanol consumption into the third trimester of pregnancy. Moreover, 2–5% of school-aged children in the US are estimated to exhibit symptoms associated with fetal ethanol exposure (May et al., 2009). Importantly, nutrition (Thomas et al., 2009; Keen et al., 2010), and drugs of abuse like nicotine (Chen et al., 1998, 1999) also contextually enhance or mitigate effects of prenatal ethanol exposure. It is important to understand the genesis of fetal vulnerability to disrupters of the maternal-fetal environment.
Neural Stem Cells and Neurogenesis; Second Trimester Brain Vulnerability
The gestational period spanning the end of the first trimester through the second trimester of fetal development is a specific window of vulnerability, because during this period, neural stem cells (NSCs) produce the majority of adult neurons. The enormous rate of proliferation and maturation amplifies effects of early perturbations in the maternal-fetal environment, so that relatively minor disruptions in genetic and epigenetic instructions that guide stem cell maturation will significantly alter the structure and function of the mature brain.
Cerebral cortical neurogenesis, an example of ethanol vulnerability
Most neurons of the adult human cerebral cortex are generated near the end of the first trimester through the second trimester of fetal development (Bystron et al., 2008). The human brain adds ∼2,500 new neurons every minute during this developmental window (Noback et al., 2005), indicating an enormous rate of NSC mitosis (mouse mitotic cycles can shorten to 8 h/cycle; Caviness et al., 1995). Newly generated neuroblasts of the ventricular zone (VZ), migrate directly to the cortical plate, or to the sub-ventricular zone (SVZ), where they may undergo additional mitosis before migrating to the cortical plate (Noctor et al., 2004).
Ethanol exposure during neurogenesis has been shown to decrease the thickness and cell proliferation rate within the VZ, while increasing the thickness and increasing proliferation within the SVZ (Miller, 1989; Miller and Nowakowski, 1991). Ethanol also disrupts the laminar organization of the emerging cortical plate (Kotkoskie and Norton, 1988), and consistent with autopsy observations in human FASD children, ethanol exposure during the period of neurogenesis also promotes the formation of subpial heterotopias (Mooney et al., 2004).
These studies showed that the neurogenic window constituted a critical period of vulnerability, but did not specifically identify NSCs as an ethanol target. We found that ethanol exposure did not kill NSCs (Prock and Miranda, 2007), showing that ethanol is not toxic to NSCs, compared to its toxicity to maturing neurons (Luo et al., 1997; Cheema et al., 2000; Bonthius et al., 2002). Ethanol promoted neuroepithelial cell proliferation, while simultaneously depleting the numbers of cells expressing NSC markers like ABCG2, CD133, and Sca-1 (Santillano et al., 2005). Ethanol also promoted asymmetrical cell division and the appearance of radial glial-like cells (Santillano et al., 2005). Radial glia are precursors of neuroblasts that exit the VZ (Tramontin et al., 2003; Noctor et al., 2004), and also serve as a conduit for neuronal migration out of the VZ into the intermediate SVZ, and from the SVZ into the emerging cortical plate (Anton et al., 1997; Hansen et al., 2010). These data suggest a mechanism (Figure 1) for the premature depletion or “thinning” of the VZ and its NSCs, and the corresponding increase in thickness and cell proliferation of the SVZ that was observed in in vivo experiments (Miller, 1989). Moreover, as predicted from the observed appearance of radial-glia-like precursors, ethanol-treated NSCs exhibited increased migration during their early differentiation (Camarillo and Miranda, 2008), providing a mechanism for the appearance of subpial heterotopias that have been observed in the brains of FASD children and in experimental models (Mooney et al., 2004). It is likely that NSCs are heterogeneous, and that NSCs from different brain regions may exhibit varied responses to ethanol. For example, while we observed increased maturation of cerebral cortical NSCs in response to ethanol, others showed that, in neural crest models, ethanol stalls cells in G1 (Luo et al., 1999), and retards NSC maturation (Zhou et al., 2011).
Figure 1
These data collectively show that ethanol action on NSCs during the critical period of neurogenesis explains many neural defects associated with in utero ethanol exposure. A question that arises is, “what mechanisms mediate ethanol’s, effects on NSCs?” One answer may be, “microRNAs.”
MicroRNAs are Targets of Ethanol
MicroRNAs (miRNAs) are 17–25 nucleotide long, non-protein-coding RNAs that are coded within the genomes of all plants and animals and are important for the renewal and maturation of stem cells (Yi and Fuchs, 2011). MiRNAs are initially transcribed as long primary transcripts (pri-miRNAs) and processed within the nucleus by Drosha/DGCR8 to generate shorter “pre-miRNAs” (Lee et al., 2003; Han et al., 2006). Pre-miRNAs are translocated to the cytoplasm where the Dicer enzyme complex further processes them into mature double-strand RNA molecules (Zhang et al., 2002). One strand, the “guide strand” is preferentially loaded onto the RNA-induced silencing complex (RISC), to destabilize mRNA transcripts or repress translation (Lim et al., 2005).
In 2007, we obtained the first evidence showing that miRNAs mediate ethanol’s teratogenic effects (Sathyan et al., 2007). We screened 218 mouse miRNAs for ethanol sensitivity in fetal NSCs. While 38% of sampled miRNAs were expressed in fetal NSCs, only a few, miR-9, -21, -153, -335, were significantly decreased by ethanol exposure. Subsequent reports have expanded the list of ethanol-sensitive miRNAs. Wang et al. (2009) showed that ethanol exposure between the latter half of the first trimester to the middle of the second trimester-equivalent period in mice, altered ∼3% of assessed mature miRNAs in whole brain RNA samples obtained at the end of the second trimester-equivalent period. Recently, Guo et al. (2011) showed that differentiated neurons exposed to a “chronic intermittent ethanol” paradigm exhibited significant alterations in ∼11% (42 out of 385) of detected miRNAs.
Are specific types of miRNAs susceptible to ethanol exposure?
In these early stages, it is difficult to identify unique principles that connect ethanol exposure to miRNA expression. The variety of experimental models and exposure conditions lend additional complexity to the assessment of miRNA changes. However, the accumulated data permit some conclusions.
Ethanol appears to influence a relatively small subset of expressed miRNAs. The apparent absence of a global effect on miRNAs suggests that ethanol does not generally target the miRNA processing machinery during development.
Ethanol appears to influence miRNAs that are a normal constituent of the cellular repertoire for a given stage of differentiation. None of the published screens has identified a miRNA that was uniquely expressed following ethanol exposure, but undetectable under control conditions. Therefore, ethanol is unlikely to promote lineage transformation of NSCs via a miRNA-dependent mechanism. For example, miR-124 which is sufficient to direct NSCs toward a neuronal lineage (Makeyev et al., 2007; Visvanathan et al., 2007) and is uniquely expressed in neurons (Smirnova et al., 2005), has not been identified as an ethanol-sensitive target in any of the published screens, whereas miR-9 which is ethanol-sensitive, is expressed by cells belonging to both neuronal and glial lineages (Smirnova et al., 2005). These data lend themselves to the prediction that ethanol regulation of miRNAs is unlikely to mediate transformation of a committed neuron to a glial cell, but may subtly bias miRNA expression to favor development along a specific lineage.
The numbers of ethanol-sensitive miRNAs appear to increase with developmental stage. It is possible that the sheer number of ethanol-sensitive miRNAs increases with differentiation stage (from ∼4% in our observations of fetal NSCs to ∼11% in the observations of Guo and colleagues in differentiated neurons). This increase may reflect increasing complexity and diversity of miRNAs that is recruited during neuronal maturation (Guo et al., 2011).
MicroRNAs exhibit developmental stage-specific sensitivity to ethanol. Because miRNAs play an important role in cell and tissue maturation, it is likely that each stage of NSC differentiation requires expression of new miRNAs. Therefore, new ethanol-sensitive miRNAs are likely to emerge as a function of tissue differentiation stage. A comparative analysis of our data on NSCs with data obtained with more differentiated cells and neural tissue (Wang et al., 2009; Guo et al., 2011) suggests that this hypothesis is generally true. MiRNAs like miR-335 and miR21 which are ethanol-sensitive in NSCs, and important for regulating NSC fate (Sathyan et al., 2007), are no longer observed to be ethanol-sensitive at the end of the second trimester-equivalent period, coincident with the depletion of NSC number, the disappearance of the VZ and the relative increase in the size of the SVZ. Instead other ethanol-sensitive miRNAs emerge, including miR-10a/10b (Wang et al., 2009), which serve as negative regulators of the Hox gene family (Woltering and Durston, 2008). The Hox family plays an important role in neuronal migration (Geisen et al., 2008), and elevated levels of miR-10 promote tumor cell invasion (another migratory behavior) by translation inhibition of HoxD10 (Liu et al., 2012). These data collectively suggest that ethanol-mediated elevations in miR-10a/b, during a critical window for neuronal migration, may dysregulate neuronal migration, whereas regulation of miR-21 and miR-335 at earlier time periods regulate NSC behavior.
Some miRNAs are ethanol-sensitive over multiple developmental windows. MiR-9 for example exhibits sensitivity to ethanol at multiple stages of development, from the embryo and fetus to the adult (Sathyan et al., 2007; Pietrzykowski et al., 2008; Wang et al., 2009; Balaraman et al., 2012; Tal et al., 2012). While ethanol decreased miR-9 expression in early development models in the mouse and fish (Sathyan et al., 2007; Balaraman et al., 2012; Tal et al., 2012), ethanol induces miR-9 expression at later developmental stages (Wang et al., 2009) and in the adult (Pietrzykowski et al., 2008). The functional implication of a presumptive developmental switch in ethanol regulation of miR-9 is unclear. Moreover, though miR-9 is targeted by ethanol throughout development, it is likely that downstream effects on translation will change simply because the transcriptome itself is significantly altered during NSC maturation.
Assessment of miRNAs for Clues about Mechanisms of Ethanol Teratology
Tal et al. (2012) reported that zebrafish exposed to between 4 and 24 h post-fertilization (hpf) exhibited decreased miR-9. Loss of miR-9 resulted in increased daylight-related hyperactivity in juvenile fish, recapitulating increased hyperactivity in FAS children (Mattson et al., 2001). These data suggest common mechanisms for ethanol teratology emerged early in vertebrates, and that some ethanol-sensitive miRNAs mediate behavioral deficits associated with fetal alcohol spectrum disorder (FASD).
MiR-9 plays a significant role in early neural tube patterning (Leucht et al., 2008), telencephalic neurogenesis, and early differentiation (Packer et al., 2008; Shibata et al., 2008, 2011). Importantly, a murine double knockout of miR-9-2 and miR-9-3 genes (miR-9-2/-3−/−) results in FAS-like phenotypes, fetal growth retardation and microencephaly (Shibata et al., 2011). Moreover, miR-9-2/-3−/− mice exhibited decreased cortical plate thickness at the end of the neurogenic period. Shibata and colleagues showed that miR-9 acts directly as a negative regulator of Foxg1, a gene that has been shown to prevent NSC differentiation and promote proliferation (Martynoga et al., 2005). Consistent with that finding, Shibata et al. additionally observed evidence for increased NSC proliferation in GD12.5, miR-9-2/-3−/− mouse brain (i.e., at the beginning of the second trimester-equivalent period). This group also discovered that, during the later half of the second trimester-equivalent period (i.e., after GD16.5, or the tail-end of the neurogenic window), Foxg1 expression was no longer suppressed in miR-9-2/-3−/− mutant mice. They suggested that this latter refractory period for Foxg1 regulation was due to a compensatory, miR-9-depletion-mediated, increase in the expression of the RNA-binding protein, ELAVL2 which in turn, stabilized Foxg1 mRNA transcripts. These data coincide well with our findings that ethanol depleted the expression of miR-9 while promoting NSC proliferation and induced expression of ELAVL2 mRNA in murine NSCs (Santillano et al., 2005; Sathyan et al., 2007), and further suggests that miR-9 plays a critical role in early second trimester ethanol teratology in coordination with other ethanol-sensitive miRNAs (Figures 2A,B). Added support for miR-9 as a mediator of ethanol neuro-teratology comes from the analysis of human familial mutations of the Foxg1 locus. Mutations in cis-regulatory elements of the Foxg1 locus are associated with fetal growth retardation, microcephaly, and mental retardation (Kortum et al., 2011), i.e., features associated with FAS.
Figure 2
Mechanisms of Ethanol and Teratogen Regulation of miRNAs
Two early reports (Sathyan et al., 2007; Balaraman et al., 2012), suggest that GABAA receptors (GABAAR) and nicotinic Acetylcholine receptors (nAChRs) mediate some ethanol effects on miRNA expression. Moreover, several of the ethanol-sensitive miRNAs are localized with chromosomal regions that are susceptible to epigenetic modification. Therefore ligand-gated ion channel receptors and epigenetic modifications are potential mediators of ethanol’s effects on fetal miRNAs (Figure 2C).
GABAAR and nAChRs
We previously observed that one miRNA, miR21 was regulated by ethanol in a GABAAR dependent manner, i.e., the non-competitive GABAAR antagonist, picrotoxin, prevented the ethanol-mediated decrease in miR21 (Sathyan et al., 2007). However, another miRNA, miR-335 was not regulated by a GABAAR-dependent mechanism. These data suggest that GABAA-dependent mechanisms selectively target a sub-population of ethanol-sensitive miRNAs. All of the tested ethanol-sensitive NSC miRNAs are also regulated in a nAChR-dependent manner, since the non-selective nAChR antagonist, mecamylamine attenuated the general miRNA-inducing effects of nicotine (Balaraman et al., 2012). In fact nicotine and ethanol appear to behave as functional antagonists in regulating sensitive NSC miRNAs suggesting that these agents, which are often co-abused during pregnancy (SAMHSA, 2009), may also target common miRNA-regulated gene networks. One model for miRNA regulation that emerges from these admittedly limited studies is that nAChRs serve as general regulators, while GABAARs are more selective regulators of ethanol-sensitive NSC miRNAs. The nAChR-dependence of ethanol-sensitive miRNAs is particularly intriguing, since recent evidence shows that the dominant α4β2 nAChR isoform predominantly localizes to the endoplasmic reticulum (Richards et al., 2011), in proximity to sites for miRNA-mediated translation control. Therefore nAChRs may well share translation control with some miRNAs at the endoplasmic reticulum.
miRNA regulation by epigenetic mechanisms
Ethanol has recently been shown to alter methylation patterns in differentiating NSCs (Zhou et al., 2011) and therefore, ethanol may regulate miRNAs by epigenetic mechanisms as well. A comparison of miR-21 and miR-335 provides important insights into the role of epigenetic mechanisms in miRNA expression. We found that these miRNAs served as functional antagonists to each other, and that miR21 was regulated by GABAAR-dependent mechanisms but miR-335 was not. A comparison of the chromosome structure associated with the miR-21 and miR-335 gene loci points to an alternate mechanism for miR-335 regulation. The mammalian-specific miR-335 is coded as an intronic miRNA, within the MEST/Peg1 imprinted gene locus, which contains GC-rich regions, termed CpG islands (Table 1). The miR-335/Peg1 locus is part of a network of imprinted genes that controls fetal growth. Loss of this locus is associated with fetal growth retardation in a mouse model (Lefebvre et al., 1998), while hyper-methylation of the paternal allele in humans is associated with the Russell–Silver syndrome (Kagami et al., 2007), characterized by growth retardation and mild mental retardation. Therefore expression of the miR-335/Peg1 locus is controlled epigenetically, whereas the miR21 locus, which is not associated with such methylation-sensitive chromatin, appears to be controlled by alternate mechanisms. Moreover, transcription at the Peg1/miR-335 locus is shut down as the growth of organs slows down with development (Lui et al., 2008; Finkielstain et al., 2009), further supporting a role in organogenesis. The Peg1/miR-335 locus has been implicated in early cortical development (Sansom et al., 2005). We showed that miR-335 is pro-apoptotic and decreases NSC proliferation, and conversely, miR-335 suppression (equivalent to the effect of ethanol exposure) resulted in increased NSC proliferation and resistance to apoptosis (Sathyan et al., 2007). Therefore, the brain effects of the miR-335 locus may also be susceptible to epigenetic programming.
Table 1
| MiRNA/parent gene | miRNA locus (human) | Predicted CpG island length | Reference for ethanol sensitivity |
|---|---|---|---|
| miR-9 family | Pietrzykowski et al. (2008); Sathyan et al. (2007); Tal et al. (2012); Wang et al. (2009) | ||
| miR-9-1/C1orf61 | chr1:156,390,133-156,390,221 | 99 bp | |
| miR-9-2/LINC00461/CR599257 | chr5:87,962,671-87,962,757 | Multiple, from 22 to 165 bp | |
| miR-9-3/CR612213.1-1.1 | chr15:89,911,248-89,911,337 | 131 bp | |
| miR-335/MEST/Peg1 | chr7:130,135,952-130,136,045 | 66 and 177 bp | Sathyan et al. (2007) |
| miR-10b | chr2:177,014,591-177,015,580 | 18 bp | Wang et al. (2009) |
| miR-339/C7orf50 | chr7:1,062,569-1,062,662 | 40 bp | Wang et al. (2009) |
| miR-152/COPZ2 | chr17:46,114,527-46,114,613 | 44 bp | Guo et al. (2011); Wang et al. (2009) |
| miR-503/MGC16121 | chrX:133,680,358-133,680,428 | 40 bp | Guo et al. (2011) |
| miR-219-1 | chr6:33,175,612-33,175,721 | 78 bp | Guo et al. (2011) |
| miR-219-2 | chr9:131,154,897-131,154,993 | 147 bp | Guo et al. (2011) |
Methylation-sensitive ethanol miRNAs.
Locations and size of presumptive CpG islands based on UCSC genome browser maps (http://genome.ucsc.edu.)
Emerging evidence from the field of cancer biology shows that the three mammalian miR-9 genes are also susceptible to epigenetic programming. MiR-9-1, miR-9-2, and miR-9-3, can be independently targeted in a variety of cancers for hyper-methylation and consequently, inactivation (Trankenschuh et al., 2010; Tsai et al., 2011; Heller et al., 2012; Minor et al., 2012). Consequently, ethanol may also regulate the expression of miR-9 genes via epigenetic mechanisms (Figure 2C). Moreover, since ethanol appears to suppress miR-9 during early fetal development, but induce miR-9 at later developmental periods, it is possible that temporal alterations in methylation of miR-9 genes may account for the switch in ethanol’s effects. A human genome map1 of other known ethanol-sensitive miRNAs shows that several ethanol-sensitive miRNAs are either bracketed by, or proximal to CpG islands, and therefore presumptive targets for DNA methylation and epigenetic programming (Table 1).
Concluding Thoughts
Teratogens including ethanol have complex effects on developing tissues and cells, making the search for cohesive principles, elusive. The significant promise of research on miRNA involvement in fetal ethanol effects, is that we will finally be able to develop cohesive models for the susceptibility of developing biological systems to alterations in the maternal-fetal environment, including the effects of ethanol exposure. Moreover, since the maternal-fetal environment is often complex, and the developing fetus may be exposed to multiple prenatal stressors (teratogens, drugs of abuse, nutrition deficiencies etc.), it is likely that the miRNA profile of developing cells will be the product of such complexity. In this context, it is particularly interesting to note that drugs like ethanol and nicotine that are commonly co-abused, target an overlapping cohort of miRNAs in fetal NSCs (Balaraman et al., 2012). Clearly, research on miRNAs and teratology is in its infancy; but as outlined in this review, the possibilities for understanding and ultimately, for therapeutic intervention in teratology are enormous.
Statements
Acknowledgments
The research described here was made possible in part, by a grant from NIAAA, R01AA013440 to Rajesh C. Miranda.
Conflict of interest
The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Footnotes
1.^UCSC genome browser, http://genome.ucsc.edu
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Summary
Keywords
microRNA, fetal alcohol spectrum disorders, FASD, miR-9, neural stem cells, cerebral cortical development
Citation
Miranda RC (2012) MicroRNAs and Fetal Brain Development: Implications for Ethanol Teratology during the Second Trimester Period of Neurogenesis. Front. Gene. 3:77. doi: 10.3389/fgene.2012.00077
Received
20 March 2012
Accepted
23 April 2012
Published
16 May 2012
Volume
3 - 2012
Edited by
Matthew Reilly, National Institutes of Health/National Institute on Alcohol Abuse and Alcoholism, USA
Reviewed by
Peter G. Clote, Boston College, USA; Ricardo Silva, Universidad Simón Bolívar, Venezuela
Copyright
© 2012 Miranda.
This is an open-access article distributed under the terms of the Creative Commons Attribution Non Commercial License, which permits non-commercial use, distribution, and reproduction in other forums, provided the original authors and source are credited.
*Correspondence: Rajesh C. Miranda, Department of Neuroscience and Experimental Therapeutics, College of Medicine, Texas A&M Health Science Center, Medical Research and Education Building, 8447 State Highway 47, Bryan, TX 77807-3260, USA e-mail: miranda@medicine.tamhsc.edu
This article was submitted to Frontiers in Non-Coding RNA, a specialty of Frontiers in Genetics.
Disclaimer
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.