Induction of miR-155 after Brain Injury Promotes Type 1 Interferon and has a Neuroprotective Effect

Introduction

Traumatic brain injury (TBI) is a leading cause of death and disability worldwide. In the US, 2.4 million people suffer a TBI each year (Coronado et al., 2012) and more than three million people are living with a long-term disability from a TBI (Zaloshnja et al., 2008). Aside from the primary mechanical injury to the brain, several secondary mechanisms contribute to morbidity and mortality; these include blood-brain barrier dysfunction, free radical production, mitochondrial dysfunction, excitotoxicity and inflammation (Finnie, 2013). Inflammation in the brain of TBI patients has been found as long as 18 years following injury and likely contributes to long-term cognitive dysfunction (Johnson et al., 2013). Therefore, targeting neuroinflammation and its downstream effects may be the key to improving TBI outcomes. It is well established that inflammatory cytokines and other inflammatory mediators can negatively affect neuronal survival (Giulian et al., 1994; Fitch et al., 1999) and function (Hauss-Wegrzyniak et al., 2002; Di Filippo et al., 2013). However, the mechanisms driving this dysfunction are still unclear. Several clinical trials aimed at reducing overall inflammation using steroids, hypothermia, hypertonic saline and eicosanoids have failed to show therapeutic efficacy (Hinson et al., 2015). These failures highlight a need for a more nuanced understanding of inflammation and it’s regulation in the context of TBI.

MicroRNAs (miRNAs) are emerging as critical regulators of immune signaling in the systemic immune system and the CNS, for detailed review please see Ksiazek-Winiarek et al. (2013), Thounaojam et al. (2013) and Cardoso et al. (2016). MiRNAs are small non-coding RNAs that are powerful post-transcriptional regulators. Mature ~22-nucleotide miRNAs target mRNA transcripts through complementary base-pairing to the 3′ UTR (Valencia-Sanchez et al., 2006). This causes target mRNA degradation or translational inhibition, allowing miRNAs to regulate the cell proteome. Through this mechanism miRNA regulate nearly all biological processes, including nervous system development, function and disease (Kosik, 2006). It is known that certain miRNAs can be induced by inflammatory stimuli. Among these are miR-155 (O’Connell et al., 2007), miR-21 (Löffler et al., 2007), miR-146 (Taganov et al., 2006), and miR-223 (Ceppi et al., 2009). What effects inflammation-associated miRNAs have on neuroinflammation in the context of TBI are unknown. Several miRNA profiling studies have shown global changes in miRNA expression after TBI in rodent models (Lei et al., 2009; Redell et al., 2009; Hu et al., 2012; Liu et al., 2014; Sun et al., 2014; Meissner et al., 2016), but there is limited knowledge about the function of these molecules in the context of brain injury. Multiple groups studying miR-21 have identified a role for this miRNA in neuroprotection and blood-brain barrier integrity after TBI (Ge et al., 2014, 2015; Han et al., 2014), indicating that miRNAs can affect TBI outcomes. Additionally, miRNAs can regulate other TBI relevant pathways, such as reactive oxidation (Zhang X. et al., 2012), excitotoxicity (Harraz et al., 2012), and even psychiatric outcomes, including major depression and suicide (Serafini et al., 2014).

We hypothesized that miRNAs known to be induced by inflammatory signaling pathways would be elevated after TBI and impact downstream inflammation and outcomes. Several miRNAs are known to be induced by inflammatory stimuli (Dai and Ahmed, 2011; O’Connell et al., 2012; Singh et al., 2013). Four of these miRNAs, miR-155, miR-21, miR-223 and miR-146 were differentially expressed in at least one miRNA profiling experiment performed in rodent models of TBI (Lei et al., 2009; Redell et al., 2009; Hu et al., 2012; Liu et al., 2014; Sun et al., 2014; Meissner et al., 2016). To study the role of inflammation-associated miRNAs in TBI, we utilized a mouse controlled cortical impact (CCI) model. In the CCI model, a pneumatically driven piston is used to impact the exposed dura creating a unilateral injury to the left parietal cortex, resulting in measurable motor and memory deficits (Saatman et al., 2006). We primarily focus on miR-155, which we found robustly increased after TBI. Using a miR-155 knock out (KO) mouse, we examined the role of miR-155 in TBI.

Materials and Methods

Animals

Male C57BL/6 mice were obtained from Charles River Laboratories Inc. (Wilmington, MA, USA). MiR-155 KO mice (Dagan et al., 2012), strain B6.Cg-Mir155tm1.1Rsky/J, were purchased from Jackson labs (Bar Harbor, MA, USA). C57BL/6 mice were used as wild type (WT) controls for miR-155 KO experiments. All mice were group housed in a 12 h light-dark cycle and fed ad libitum. All procedures and protocols were approved by the Institutional Animal Care and Use Committee of the University of Nebraska Medical Center and conducted in accordance with the National Institutes of Health Guide for the Care and Use of Laboratory Animals.

Controlled Cortical Impact

Seven to nine week-old male mice were anesthetized using 5% inhaled isoflurane, their heads were shaved and placed in a Kopf stereotaxic head frame where they were maintained under anesthesia using 2% isoflurane. A 4-mm craniotomy was performed midway between lambda and bregma on the left side. The exposed dura was then impacted using a Precision Systems and Instrumentation TBI-0310 (Fairfax Station, VA, USA) at a speed of 3.5 m/s with a 200 ms dwell time. This procedure was similar to previous reports (Mattson and Scheff, 1994; Smith et al., 1995). Injury depths of 0.5 and 1.0 mm were used to simulate moderate and severe injuries, respectively. After injury, Surgicel (Johnson and Johnson, Dallas, TX, USA) was placed over the injury site, the removed skull was adhered back to its original place with dental cement and the wound closed with wound clips. 0.5% bupivacaine with 1:200,000 epinephrine was used as an analgesic. Naïve animals were not exposed to injury, craniotomy or anesthesia.

Tissue Preparation for Histology

Paraffin-embedded tissues were used for Luxol fast blue, terminal deoxynucleotidyl transferase dUTP nick end labeling (TUNEL) and fluorescent in situ hybridization (FISH). Brains were submersion fixed in 4% PFA overnight before processing; staining was performed on 5 μm sections. Iba1 and fluoro-jade C (FJC) staining were performed on fixed-frozen tissues. Transcardial perfusion was performed on anesthetized mice with cold PBS and 2.5% sucrose followed by PBS with 2.5% sucrose and 4% PFA. Brains were submersion fixed an additional 24 h, cryoprotected in 30% sucrose, frozen with 2-methyl butane on dry ice and stored at −80°C. A 4 mm coronal section, including the injury site was sectioned into 50 μm slices and every fifth section was collected in 0.1 M phosphate buffer.

Luxol Fast Blue Staining

After hydration to 95% ethanol, slides were stained with filtered 0.1% Luxol fast blue in a solution of 0.5% acetic acid at 60°C overnight. The next day slides were rinsed in 95% ethanol followed by distilled water then differentiated in 0.05% lithium carbonate for 1 min and 70% ethanol for 1 min. Slides were counterstained with 0.5% cresyl violet for 30 min at 60°C, rinsed in distilled H₂O, and differentiated in 95% ethanol for 5 min. Coverslips were mounted using Cytoseal (Thermo, Waltham, MA, USA). Slide scanning was performed by the UNMC tissue sciences facility using a Ventana’s Coreo Au Slide Scanner at 40× magnification.

Terminal Deoxynucleotidyl Transferase dUTP Nick End Labeling (TUNEL)

ApopTag Peroxidase in situ apoptosis detection kit (Millipore, Temecula, CA, USA) was used for TUNEL staining according to manufacturer’s directions in conjunction with TSA plus cyanine 5 kit (PerkinElmer, Waltham, MA, USA). Briefly, hydrated slides were treated with 20 μg/mL proteinase K, then terminal deoxynucleotidyl transferase (TdT) was used to transfer digoxigenin (DIG) labeled nucleotides onto fragmented DNA. The tail of DIG labeled nucleotides was then detected using an anti-DIG antibody conjugated to peroxidase. A TSA plus cyanine 5 kit (PerkinElmer, Waltham, MA, USA) was used to develop the fluorescent stain and nuclei were stained with DAPI.

In Situ Hybridization

ISH was performed as described previously (Chaudhuri et al., 2013). In brief, double DIG-labeled LNA probes (Exiqon, Vedbaek) were used in conjunction with anti-DIG-POD, Fab fragments (Roche, Basel) and TSA plus cyanine 5 (PerkinElmer, Waltham, MA, USA). To reduce background, a 10 min 3% H₂O₂ peroxidase quenching step was added to the original protocol. MAP2 antibody (ab5392, abcam, Cambridge) was used at 1:1000 dilution; nuclei were stained with DAPI.

Immunohistochemisty

Free-floating cryosections were incubated with 3% H₂O₂ to quench endogenous peroxidase. After thorough washing sections were blocked with 10% normal goat serum (NGS) +0.3% Triton-X100 in PBS. Tissues were incubated with Iba1 (Wako, Kampenhout; 1:500) in 0.3% Triton-X100 +3% NGS in PBS at 4°C overnight. ImmPRESS HRP Anti-Rabbit IgG (Vector labs, Burlingame) was used as a secondary and DAB Plus substrate system (Thermo, Waltham, MA, USA) was used for developing. Sections were then mounted on gelatin-coated slides, allowed to dry overnight, incubated in xylene for 1 min, and mounted with Cytoseal (Thermo, Waltham, MA, USA). Slides were imaged using a light microscope at 100× magnification. Images were quantified using ImageJ (Schneider et al., 2012) to calculate the percent area covered by Iba1 staining in the hippocampus and cortex.

Fluoro-Jade C (FJC) Staining

Free-floating cryosections were mounted on gelatin coated slides and air-dried overnight. Slides were incubated in 0.06% potassium permanganate followed by 0.0001% FJC (Histochem, Jefferson, AR, USA) and 0.0001% DAPI (Sigma, St. Louis, MO, USA) in 1% acetic acid. Tissue was then dried in a 60°C oven and incubated in xylene for 1 min, then coverslips were mounted with DPX (Sigma, St. Louis, MO, USA). For each brain, three slices between bregma −2.5 and −1.5 were imaged for quantification. FJC positive cells were counted using ImageJ (Schneider et al., 2012) by a blinded observer. The average number of fluoro-jade positive cells per slice is reported.

RNA Isolation, cDNA Synthesis and Real Time PCR

Tissue was isolated from the hippocampus and RNA was extracted using TRIzol (Life Technologies, Carlsbad, CA, USA) according to manufacturer’s instructions. TaqMan miRNA and Gene Expression Assays (Life Technologies, Carlsbad, CA, USA) were used for cDNA synthesis and real time PCR according to manufacturer’s instructions. Small nuclear RNA U6 (U6) was used as a control for miRNA studies and glyceraldehyde 3-phosphate dehydrogenase (GAPDH) was used as a control for mRNA studies. Delta-delta Ct method was used to calculate fold change (2^{−((Ct_miRNA − Ct_U6)_exp − (Ct_miRNA − Ct_U6)_control)}) or (2^{−((Ct_mRNA − Ct_GAPDH)_exp − (Ct_mRNA − Ct_GAPDH)_control)}). Statistical significance was determined using ΔCt values (Ct_miRNA − Ct_U6) or (Ct_mRNA − Ct_GAPDH).

Protein Analysis

Protein was isolated from ipsilateral hippocampal tissue using TRIzol (Life Technologies, Carlsbad, CA, USA) according to manufacturer’s instructions. Equal amounts of protein samples were separated by SDS-PAGE and transferred to a nitrocellulose membrane. The membrane was blocked in Superblock (Pierce, Waltham, MA, USA) and incubated overnight at 4°C with primary antibodies. After washing, membrane was incubated with infrared secondary antibodies (LI-COR, Lincoln, NE, USA) for 1 h at room temperature. Imaging and densitometry was performed with an Odyssey Imaging System (LI-COR, Lincoln, NE, USA). The following antibodies and concentrations were used for Western blotting: suppressor of cytokine signaling 1 (SOCS1; 1:1000, 38-5200, Thermo, Waltham, MA, USA), caspase 3 (1:1000, 9662, Cell Signaling, Danvers, MA, USA), beta-actin (AM1829B, 1:20,000, Abgent, San Diego, CA, USA). For statistical analysis, each sample was normalized to beta-actin.

Statistics

For comparisons between two groups an unpaired two-tailed student’s T-test was used to calculate significance. For comparisons between multiple groups two-way ANOVAs followed by Bonferroni post hoc tests were employed. For testing significance of multiple parameters, such as the expression of several genes, between two groups a false discovery rate calculation was used. All statistical tests were performed with GraphPad Prism (La Jolla, CA, USA). P < 0.05 was considered significant. For data represented in graphs, the mean ± SEM is shown. A minimum of three biological replicates was used for all experiments.

Results

CCI Increased Expression of Inflammation-Associated miRNAs in the Hippocampus

CCI produced a cortical lesion, and white matter damage to the underlying corpus callosum and alveus was evident later time points (Figure 1A). Given that apoptosis can occur in TBI and may be influenced by the miRNAs of interest, we examined the level of apoptosis in the cortex and hippocampus. Importantly, apoptosis in the hippocampus is limited compared to the cortical lesion boundary, which shows high levels of TUNEL staining (Figure 1B). To confirm that inflammatory signaling was present in the hippocampus, we measured the expression of pro-inflammatory cytokines IL-1β, TNFα and IL-6 in the hippocampus 1, 3, 7 and 14 days after injury by qPCR. As expected based on previous reports, expression of pro-inflammatory cytokines was increased acutely after CCI in the injured (ipsilateral) compared to the uninjured (contralateral) hippocampus (Figure 1C). This indicated that the hippocampus was a suitable region for studying regulation of inflammation by miRNAs while limiting the confounding role of apoptosis.

FIGURE 1

Figure 1. Controlled cortical impact (CCI) increases inflammation-associated microRNAs (miRNAs) in the hippocampus. (A) Anatomical characterization of moderate CCI 1, 3, or 7 days post injury (DPI), myelin (Blue) and Nissl (Purple). (B) Staining for apoptotic cells using terminal deoxynucleotidyl transferase dUTP nick end labeling (TUNEL; magenta), nucleus (blue). Images show ipsilateral hemisphere 1 day after moderate CCI in the hippocampus and the lesion boundary of the cortex. Scale bars = 50 μM. (C) Levels of inflammatory cytokines and (D) inflammation-associated miRNAs in the ipsilateral (IPSI) and contralateral (CONTRA) hippocampus 1, 3, 7 and 14 days after CCI by qPCR at 0.5-mm injury depth and in naïve animals (n = 3). (E) Anatomical characterization of severe CCI 3 DPI (left) and levels of miRNA in the hippocampus (right) were measured 3 days after injury by qPCR in naïve (n = 4), sham (n = 4), moderate CCI (n = 3), and severe CCI mice (n = 4). Data are expressed as fold change relative to naïve mice. The mean ± SEM are shown. ^#P < 0.05; ^##P < 0.01; ^###P < 0.001 by two way ANOVA. *P < 0.05; ***P < 0.001 by Bonferroni post hoc testing relative to the contralateral hemisphere.

Expression of miR-155 (UUAAUGCUAAUUGUGAUAGGGGU), miR-21(UAGCUUAUCAGACUGAUGUUGA), miR-223 (UGUCAGUUUGUCAAAUACCCCA) and miR-146 (UGAGAACUGAAUUCCAUGGGUU) was examined in hippocampi of the injured (ipsilateral) and the uninjured (contralateral) hemisphere from the same animals at 1, 3, 7 and 14 days after moderate CCI and in naïve controls (Figure 1D). In naïve animals, there was no difference in miRNA expression between hemispheres. CCI significantly increased expression of miR-155, miR-21 and miR-223 in the ipsilateral compared to the contralateral hippocampus by two-way ANOVA. Bonferroni post hoc analysis showed that the difference in miR-155 reached statistical significance at day 1, 3 and 7 whereas, expression of miR-21 was significantly increased at 14 days after CCI (P = 0.035), but not at earlier time points, day 1, 3 and 7. The post hoc test did not reveal significance for miR-223 expression at these time points. Expression of miR-146 was not altered by CCI at the time points examined by two way ANOVA (P = 0.16). Increasing the injury severity from moderate to severe, 0.5 mm and 1.0 mm depth respectively, revealed significantly increased expression of miR-155, miR-21 and miR-223 at 3 days post-injury (DPI) as determined by two-way ANOVA. Bonferroni post hoc analysis showed that miR-155, miR-223 and miR-21 were all elevated in the ipsilateral as compared to the contralateral hemisphere 3 days after severe CCI, whereas only miR-155 was also elevated after moderate CCI (Figure 1E). In summary, inflammation-associated miRNAs are elevated in the ipsilateral hippocampus after TBI and in general showed a more prolonged increase compared to the expression of cytokines IL-1β, TNFα and IL-6, which peaked 1 day after injury. Of the miRNAs examined, miR-155 alone was significant at all time points measured up to 7 days after moderate injury. Considering the strong induction of miR-155, the function of miR-155 in TBI was further investigated.

To examine the cell type-specific localization of miR-155 in the injured brain, we performed FISH. Examining miR-155 by FISH revealed prolonged elevation of miR-155 at 1, 3 and 7 days after moderate CCI as well as 3 days after severe CCI in the hippocampus, similar to that observed by qPCR (Figures 2A,B). Expression of miR-155 was also observed in the boundary zone of the cortex (Supplementary Figure S1A). Importantly, no fluorescent signal was detected in miR-155 knockout (KO) mice, confirming FISH specificity (Figure 2B). Interestingly, expression of miR-155 was largely nuclear and present at high levels in the laminar layers of the hippocampus, structures composed primarily of neurons. Co-staining for miR-155 and neuronal marker MAP2 confirmed that miR-155 was expressed at high levels in neuronal nuclei in both the hippocampus and cortex (Figure 2C, Supplementary Figure S1B). Together with qPCR data, FISH clearly shows elevation of miR-155 after CCI.

FIGURE 2

Figure 2. Nuclear, neuronal localization of miR-155 in the hippocampus after CCI. (A) Fluorescence in situ hybridization (FISH) for miR-155 1, 3 and 7 days after moderate CCI and in naïve mice. Dentate gyrus (DG), CA1 and CA3 of the ipsilateral hippocampus are shown. (B) miR-155 expression in the ipsilateral DG of wild type (WT) and miR-155 knock out (KO) mice 3 days after severe CCI. (C) FISH and Co-IHC was performed for neuronal marker MAP2 (green), nuclei (blue), miR-155 (magenta). Scale bars = 50 μM.

Interferon Signaling Is Dampened in miR-155 KO Mice

In order to understand the function of miR-155 in regulating the immune response in TBI, we subjected miR-155 KOs and WT mice to CCI. Three days after CCI, RNA was isolated from ipsilateral hippocampi and expression of cytokines and chemokines were measured by qPCR. Unexpectedly, there were no differences in the expression of IL-6, IL-1β or TNFα (Figure 3A), which are regulated by miR-155 in other systems. However, miR-155 KO mice had decreased expression of 6/9 IFN related genes measured (FDR < 0.05), including IFNα2, IFNα4, IFNα5 and IFNβ1, as well as IFN regulatory factor 1 (IRF1) and IFN induced chemokine CXCL10 (Figure 3B). Overall, we found a reduction of the IFN response in miR-155 KO mice after TBI without changes in other TBI induced inflammatory cytokines.

FIGURE 3

Figure 3. miR-155 KO mice have a dampened hippocampal interferon (IFN) response to CCI. (A) Levels of pro-inflammatory cytokines IL-6, TNFα and IL1β, and (B) IFNs, IFN regulatory factor 1 (IRF1) and IFN-induced chemokines in the ipsilateral hippocampus were measured 3 days after severe CCI by qPCR in miR-155 KO and WT mice. Data are expressed as fold change relative to WT, the mean ± SEM are shown (n = 4). *FDR < 0.05. (C) Brains from WT and miR-155 KO mice were stained for Iba1 3 days after severe CCI. Representative images are shown. (D) Quantification of Iba1 staining of WT (n = 5) and miR-155 KO (n = 6) ipsilateral hippocampi. The mean ± SEM are shown. *P = 0.046 by Student’s T-test. (E) Levels of suppressor of SOCS1 and SHIP1 mRNA and (F) SOCS1 protein in the ipsilateral and contralateral hippocampus were measured 3 days after severe CCI in WT (n = 4) and KO (n = 4) mice by qPCR and Western blot respectively. The mean ± SEM from are shown. **P = 0.0072 by Student’s T-test.

To examine the importance of miR-155 in microglial activation in the context of TBI, we examined the levels of microglial marker Iba1 in hippocampal slices 3 days after CCI in miR-155 KO and WT mice. In miR-155 KO mice we observed an increase rather than the expected decrease in Iba1 staining in the ipsilateral hippocampus compared to control mice (P = 0.046 by Student’s T-test; Figures 3C,D). These data suggest that miR-155 is not essential for the activation of microglia after TBI and implies that a dampened microglial response is not responsible for the reduction in IFN signaling observed in miR-155 KO mice.

We hypothesized that previously validated miR-155 targets SOCS1 and SHIP1 mediated miR-155 regulation of IFN signaling in the context of TBI. However, compared to the expression found in WT mice, no increase in SOCS1 was observed in miR-155 KO mice at the mRNA or protein level after TBI (Figures 3E,F). In fact there was a significant decrease in SOCS1 mRNA expression in miR-155 KO mice (P = 0.007 by student’s T-test). Therefore, miR-155 regulation of IFN signaling in TBI is likely independent of SOCS1. We also tested SHIP1, a second target of miR-155 known to regulate IFN signaling and found no significant change in mRNA expression by qPCR. In summary, miR-155 KO mice show a decreased expression of type 1 IFNs and IFN regulated genes without evident decreases in microglial activation or increased SOCS1 or SHIP1 expression.

Increased Neurodegeneration in miR-155 KO Mice

Since miR-155 was highly increased in neuronal nuclei, the effect of miR-155 ablation on neuronal degeneration and apoptosis in the hippocampus was measured. Fluoro-jade C (FJC) staining for degenerating neurons showed evidence of neurodegeneration both in the cortex and hippocampus. In the hippocampus FJC positive cells were found predominately in the Dentate gyrus (DG). The DG in miR-155 KO mice had significantly more FJC positive cells relative to controls (P = 0.046 by Student’s T-test; Figures 4A,B), indicating that miR-155 KO mice had increased hippocampal neurodegeneration. Consistent with TUNEL staining of the hippocampus, there were low levels of caspase 3 cleavage in both groups, 10% and 20% for WT miR-155 KO mice respectively, a difference that was not significant (P = 0.20 by Student’s T-test; Figures 4C,D). Overall we found increased hippocampal neurodegeneration in miR-155 KO mice, without significant evidence of increased apoptosis. Figure 5 graphically summarizes our main findings on miR-155 in TBI.

FIGURE 4

Figure 4. Increased hippocampal neurodegeneration in miR-155 KO mice after CCI. Degenerating neurons were stained with fluoro-jade C (FJC; green) and DAPI (blue) 3 days after 1.0-mm CCI in the brains of WT (n = 5) and miR-155 KO (n = 6) mice. (A) Representative images from the ipsilateral DG. (B) Quantification of FJC positive cells in the DG. The mean ± SEM is shown. *P < 0.05 by Student’s T-test. (C) Representative images of full-length and cleaved caspase 3 and beta-actin (Actin) analyzed by Western blot in WT and miR-155 KO ipsilateral hippocampi 3 days after 1.0-mm CCI. (D) Quantification of the percentage of cleaved Caspase 3 relative to full-length Caspase 3. The mean ± SEM are shown, (n = 4).

FIGURE 5

Figure 5. After traumatic brain injury inflammatory cytokines tumor necrosis factor alpha (TNFα), interleukin 6 (IL-6), and interleukin 1 beta (IL-1β) increase and induce miR-155 expression in the injured hippocampus. miR-155 promotes type 1 interferon (IFN) though an unknown mechanism independent of SOCS1 and SHIP1. Also, expression of miR-155 has a neuroprotective effect after injury.

Discussion

Neuroinflammation has a complex role in TBI playing both beneficial and detrimental roles (Finnie, 2013). Understanding the regulation and downstream effects of inflammation in the context of brain injury will help unravel this seeming duplicitous process. The expression of inflammation-associated miRNAs was examined in the CCI mouse model of TBI. Inflammation-associated miRNAs miR-155, miR-21 and miR-223 were increased in the hippocampus after CCI. Of the miRNAs examined, miR-155 showed the most consistent upregulation, up to 9-fold and extending to 7 days after CCI. Using a miR-155 KO mouse, we identified a role for miR-155 in promoting the expression of IFN genes, including IFNα2, IFNα4, IFNα5 and FNβ1, as well as IRF1 and IFN induced chemokine CXCL10. Surprisingly, we found that miR-155 was highly expressed in neuronal nuclei suggesting potential non-canonical functions of this miRNA in TBI. Additionally, we found that miR-155 KO mice had increased neurodegeneration and microgliosis, indicating a neuroprotective role for miR-155 in neuronal injury. This work confirms that miR-155 regulates neuroinflammation and also provides evidence that miR-155 plays a role in the neuronal response to TBI.

Increasing evidence points to important functions for inflammation-associated miRNAs in neurological disease (Buller et al., 2010; Yelamanchili et al., 2010; Harraz et al., 2012; Zhang L. et al., 2012; Ge et al., 2014). Among the miRNAs associated with neuroinflammation, miR-155 is the best characterized, having well-documented roles in several disease models. Inhibiting or reducing miR-155 improved outcomes in several neural disease models involving neuroinflammation, such as Parkinson’s disease (Thome et al., 2016), Alzheimer’s disease (Guedes et al., 2014), amyotropic lateral sclerosis (Koval et al., 2013; Parisi et al., 2013; Butovsky et al., 2015b), stroke (Eisenhardt et al., 2015), and alcohol induced inflammation (Lippai et al., 2013). Intriguingly, miR-155 mice are also highly susceptible to HSV encephalitis (Bhela et al., 2014). Our data indicate that TBI produces a robust increase in miR-155 at 1, 3 and 7 DPI with a return to baseline by 14 days. Increased expression after TBI was confirmed by ISH. Expression of miR-155 is induced by TNFα (O’Connell et al., 2007) and IL-1β (Stanczyk et al., 2008). TNFα and IL-1β mRNA expression increased dramatically after TBI, 200 fold and 50 fold from naive respectively. Therefore, we propose that TNFα and IL-1β signaling leads to miR-155 expression after TBI.

Surprisingly, miR-155 was detected in the nucleus of cells. Nuclear miRNAs have been shown to mediate gene expression changes in non-canonical ways such as alternative splicing and chromatin modification in addition to post-transcriptional inhibition (Roberts, 2014). Some additional functions include degradation of long non-coding RNAs, disruption of pri-miRNA processing, and transcriptional activation (Rasko and Wong, 2017). Differential CLIP-Seq of miR-155 KO cells by Loeb et al. (2012) revealed many non-canonical miR-155 binding sites, including sites in small nucleolar RNAs (snoRNAs). Nuclear localization of miRNAs has been reported in neurons, but what role nuclear-neuronal miRNAs play in development and disease is largely unknown (Khudayberdiev et al., 2013). Here we describe a nuclear-neuronal miRNA that was not only induced in a neurological condition, but also played a functional role in disease processes. This discovery paves the way for the study of nuclear-neuronal miRNA in neurological disease.

In the brains of miR-155 KO mice the type 1 IFN response was decreased. This is consistent with the findings of several other groups studying the role of miR-155 in the immune system (Zhou et al., 2010). IFNβ is increased after both murine and human TBI (Karve et al., 2016). Toll-like receptors and other pattern recognition receptors (PRRs) are responsible for stimulating type 1 IFNs in response to viral RNA (Honda and Taniguchi, 2006). In TBI, IFN induction could be mediated by a variety of damage associated molecular patterns (DAMPS) released upon injury (Gesuete et al., 2014). For example we have shown that miRNA containing TLR7 recognition motifs are secreted in extracellular vesicles after TBI (Harrison et al., 2016). Karve et al. (2016) showed that deletion of the IFNA1 receptor improved outcomes in murine TBI and that these effects were mediated by hematopoietic cells. In addition to hematopoietic cells, neurons can both express and respond to type 1 IFNs (Delhaye et al., 2006; Rosato and Leib, 2015). Therefore, it is possible that in the context of TBI miR-155 promotes IFN expression in neurons.

Despite evidence that miR-155 promotes microglial activation in vitro (Cardoso et al., 2012), we did not see a reduction in microgliosis in miR-155 KO after CCI mice as measured by Iba1 staining density. This study only provides a limited characterization of microglial activation and it is possible that by using markers more specific to microglial activation or examining a more extended time course that alteration in microglial activation may be present in miR-155 KO mice after TBI. Therefore, we cannot rule out the importance of miR-155 for microglial activation, but we argue that the role for miR-155 in response to CNS injury extends beyond glial activation. Specifically, expression of miR-155 in MAP2 expressing neurons suggests that this miRNA may have an equally important role in neurons as in glia.

There is evidence that miR-155 contributes to neuroinflammation by reducing SOCS1 protein levels in microglia and astrocytes (Cardoso et al., 2012; Butovsky et al., 2015a). SOCS1 is a negative regulator of IFN signaling and a validated target of miR-155 (Wang et al., 2010) that functions to inhibit STAT1, a key transcription factor for IFN signaling (Nakagawa et al., 2002). In miR-155 KO mice there was decreased expression of IFN and IFN response genes after TBI, but no corresponding increase in SOCS1 at the protein or mRNA level. Instead, we found a slight decrease in SOCS1 mRNA. These data suggest that in the context of TBI, SOCS1 does not mediate potentiation of the IFN response by miR-155. We also found no change in expression of SHIP1, a validated target of miR-155 also known to inhibit IFN expression (O’Connell et al., 2009; Gabhann et al., 2010; Figure 5). This does not preclude the possibility that other canonical mRNA targets are involved. However, the nuclear localization of miR-155 also opens the possibility for non-canonical regulation of gene expression, which should also be explored.

Importantly, we found that in addition to regulating neuroinflammation, miR-155 also influenced neurodegeneration as measured by fluoro-jade C (FJC) staining. It is possible that autocrine or paracrine IFN signaling is neuroprotective and inhibition of IFNs and IFN-related genes in miR-155 KO mice promotes neurodegeration. Though the mechanisms are incompletely understood, IFNβ is a main line therapy for multiple sclerosis where it has been shown to have both anti-inflammatory and neuroprotective effects (Kieseier, 2011). Alternatively, the neuroprotective effects of miR-155 may be independent of IFN signaling and relate to either canonical or non-canonical regulation of gene expression within neurons. Further in vitro studies on miR-155 in neurons would help elucidate the mechanisms by which this miRNA regulates neurodegeneration.

In the brain, miRNAs regulate neuronal plasticity and neuroprotection (Kosik, 2006). Several of these processes have relevance to TBI, where both neurogenesis and regeneration are known to occur (Nudo, 2011). In addition, miRs have been associated with psychiatric disorders found in TBI survivors, such as major depression (Serafini et al., 2014). For example, increased miR-185 was found in the brains of suicide completers and linked with decreased TrkB-T1 (Maussion et al., 2012). We have shown that miR-155 is neuroprotective in the acute period after TBI, but further exploration of this and other miRNA in the chronic phase of TBI is warranted.

This study has several limitations. One important limitation is the focus on pathology and gene expression in the hippocampus. We show by qPCR that miR-155 is increased in the hippocampus after TBI. We also found increased hippocampal and cortical expression of miR-155 by FISH. The expression and function of miR-155 in other regions was not examined, but may be relevant to the overall importance of miR-155 in TBI. This work focused on a specific subset of miRNAs, but there is a growing list of other non-coding RNAs. These include long non-coding RNAs (lncRNAs), endogenous siRNAs (esiRNA) and piwi-interacting RNAs (piRNAs). Epigenetic regulation by non-coding RNAs likely plays critical roles in the response to CNS injury through chromatin remodeling, transcriptional activation and gene silencing (Esteller, 2011).

These findings clearly show a functional role for miR-155 in the mouse CCI model of TBI, although additional studies in other models of TBI as well as in human patients are necessary to show miR-155 is clinically relevant. Understanding the complex cell signaling, gene expression and epigenetic mechanisms that occur in the wake of TBI is important for improving therapeutic approaches. This work highlights changes in miRNAs, large-scale regulators of protein expression. The elevation of these miRNAs suggests that they play a role in the pathophysiology of TBI. These data show that miR-155 can affect TBI pathophysiology, but whether miR-155 expression can improve or worsen disease outcomes is a critical question that remains to be addressed.

Summary

We have identified miR-155 as a TBI induced miRNA that promotes the type 1 IFN response. In the context of TBI, miR-155 is strongly expressed in neuronal nuclei, suggesting that it may regulate gene expression through non-canonical mechanisms. Increased neurodegeneration in miR-155 KO mice points to a neuroprotective role for miR-155 in TBI.

Author Contributions

SVY, MLK, EBH and HSF conceived and designed the project. EBH, KE, BGL, BMM and ML collected and analyzed the data. EBH, ML, BGL, KE and SVY interpreted the data. EBH and HSF wrote the manuscript. SVY, MLK, HSF, ML, BGL, KE and BMM all contributed to the editing of the manuscript.

Funding

This work was supported by a Nebraska Research Initiative Grant, a University of Nebraska Medical Center Graduate Studies Research Fellowship and a Herbert L. Davis Fellowship in Pharmacology.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

We would like to thank Lara Bergdolt for her assistance with histological staining and Shannon Callen for providing valuable expertise in histological methods. In addition we thank the UNMC tissue sciences facility for slide scanning services and the UNMC comparative medicine staff for their assistance with mouse husbandry.

Abbreviations

CCI, controlled cortical impact; IFN, Interferon; miRNA, microRNA; TBI, traumatic brain injury.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/article/10.3389/fnmol.2017.00228/full#supplementary-material

FIGURE S1 | Nuclear, neuronal localization of miR-155 in the cortex after controlled cortical impact (CCI). (A) Fluorescence in situ hybridization (FISH) for miR-155 1, 3 and 7 days after moderate CCI and in naïve mice. Images show the injury lesion boundary in the cortex. (B) FISH and Co-IHC was performed for neuronal marker MAP2 (green), nuclei (blue), miR-155 (magenta). Scale bars = 50 μM.

References

Bhela, S., Mulik, S., Reddy, P. B., Richardson, R. L., Gimenez, F., Rajasagi, N. K., et al. (2014). Critical role of microRNA-155 in herpes simplex encephalitis. J. Immunol. 192, 2734–2743. doi: 10.4049/jimmunol.1302326

PubMed Abstract | CrossRef Full Text | Google Scholar

Buller, B., Liu, X., Wang, X., Zhang, R. L., Zhang, L., Hozeska-Solgot, A., et al. (2010). MicroRNA-21 protects neurons from ischemic death. FEBS J. 277, 4299–4307. doi: 10.1111/j.1742-4658.2010.07818.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Butovsky, O., Jedrychowski, M. P., Cialic, R., Krasemann, S., Murugaiyan, G., Fanek, Z., et al. (2015a). Targeting miR-155 restores abnormal microglia and attenuates disease in SOD1 mice. Ann. Neurol. 77, 75–99. doi: 10.1002/ana.24304

PubMed Abstract | CrossRef Full Text | Google Scholar

Butovsky, O., Jedrychowski, M. P., Cialic, R., Murugaiyan, G., Wu, P. M., Doykan, C. E., et al. (2015b). Targeting miR-155 restores dysfunctional microglia and ameliorates disease in the SOD1 model of ALS. Int. J. Dev. Neurosci. 47:5. doi: 10.1016/j.ijdevneu.2015.04.023

CrossRef Full Text | Google Scholar

Cardoso, A. L., Guedes, J. R., and de Lima, M. C. (2016). Role of microRNAs in the regulation of innate immune cells under neuroinflammatory conditions. Curr. Opin. Pharmacol. 26, 1–9. doi: 10.1016/j.coph.2015.09.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Cardoso, A. L., Guedes, J. R., Pereira de Almeida, L., and Pedroso de Lima, M. C. (2012). miR-155 modulates microglia-mediated immune response by down-regulating SOCS-1 and promoting cytokine and nitric oxide production. Immunology 135, 73–88. doi: 10.1111/j.1365-2567.2011.03514.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Ceppi, M., Pereira, P. M., Dunand-Sauthier, I., Barras, E., Reith, W., Santos, M. A., et al. (2009). MicroRNA-155 modulates the interleukin-1 signaling pathway in activated human monocyte-derived dendritic cells. Proc. Natl. Acad. Sci. U S A 106, 2735–2740. doi: 10.1073/pnas.0811073106

PubMed Abstract | CrossRef Full Text | Google Scholar

Chaudhuri, A. D., Yelamanchili, S. V., and Fox, H. S. (2013). Combined fluorescent in situ hybridization for detection of microRNAs and immunofluorescent labeling for cell-type markers. Front. Cell. Neurosci. 7:160. doi: 10.3389/fncel.2013.00160

PubMed Abstract | CrossRef Full Text | Google Scholar

Coronado, V. G., McGuire, L. C., Sarmiento, K., Bell, J., Lionbarger, M. R., Jones, C. D., et al. (2012). Trends in traumatic brain injury in the U.S. and the public health response: 1995-2009. J. Safety Res. 43, 299–307. doi: 10.1016/j.jsr.2012.08.011

PubMed Abstract | CrossRef Full Text | Google Scholar

Dagan, L. N., Jiang, X., Bhatt, S., Cubedo, E., Rajewsky, K., and Lossos, I. S. (2012). miR-155 regulates HGAL expression and increases lymphoma cell motility. Blood 119, 513–520. doi: 10.1182/blood-2011-08-370536

PubMed Abstract | CrossRef Full Text | Google Scholar

Dai, R., and Ahmed, S. A. (2011). MicroRNA, a new paradigm for understanding immunoregulation, inflammation, and autoimmune diseases. Transl. Res. 157, 163–179. doi: 10.1016/j.trsl.2011.01.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Delhaye, S., Paul, S., Blakqori, G., Minet, M., Weber, F., Staeheli, P., et al. (2006). Neurons produce type I interferon during viral encephalitis. Proc. Natl. Acad. Sci. U S A 103, 7835–7840. doi: 10.1073/pnas.0602460103

PubMed Abstract | CrossRef Full Text | Google Scholar

Di Filippo, M., Chiasserini, D., Gardoni, F., Viviani, B., Tozzi, A., Giampà, C., et al. (2013). Effects of central and peripheral inflammation on hippocampal synaptic plasticity. Neurobiol. Dis. 52, 229–236. doi: 10.1016/j.nbd.2012.12.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Eisenhardt, S. U., Weiss, J. B., Smolka, C., Maxeiner, J., Pankratz, F., Bemtgen, X., et al. (2015). MicroRNA-155 aggravates ischemia-reperfusion injury by modulation of inflammatory cell recruitment and the respiratory oxidative burst. Basic Res. Cardiol. 110:32. doi: 10.1007/s00395-015-0490-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Esteller, M. (2011). Non-coding RNAs in human disease. Nat. Rev. Genet. 12, 861–874. doi: 10.1038/nrg3074

PubMed Abstract | CrossRef Full Text | Google Scholar

Finnie, J. W. (2013). Neuroinflammation: beneficial and detrimental effects after traumatic brain injury. Inflammopharmacology 21, 309–320. doi: 10.1007/s10787-012-0164-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Fitch, M. T., Doller, C., Combs, C. K., Landreth, G. E., and Silver, J. (1999). Cellular and molecular mechanisms of glial scarring and progressive cavitation: in vivo and in vitro analysis of inflammation-induced secondary injury after CNS trauma. J. Neurosci. 19, 8182–8198.

PubMed Abstract | Google Scholar

Gabhann, J. N., Higgs, R., Brennan, K., Thomas, W., Damen, J. E., Ben Larbi, N., et al. (2010). Absence of SHIP-1 results in constitutive phosphorylation of tank-binding kinase 1 and enhanced TLR3-dependent IFN-β production. J. Immunol. 184, 2314–2320. doi: 10.4049/jimmunol.0902589

PubMed Abstract | CrossRef Full Text | Google Scholar

Ge, X., Han, Z., Chen, F., Wang, H., Zhang, B., Jiang, R., et al. (2015). MiR-21 alleviates secondary blood-brain barrier damage after traumatic brain injury in rats. Brain Res. 1603, 150–157. doi: 10.1016/j.brainres.2015.01.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Ge, X. T., Lei, P., Wang, H. C., Zhang, A. L., Han, Z. L., Chen, X., et al. (2014). miR-21 improves the neurological outcome after traumatic brain injury in rats. Sci. Rep. 4:6718. doi: 10.1038/srep06718

PubMed Abstract | CrossRef Full Text | Google Scholar

Gesuete, R., Kohama, S. G., and Stenzel-Poore, M. P. (2014). Toll-like receptors and ischemic brain injury. J. Neuropathol. Exp. Neurol. 73, 378–386. doi: 10.1097/NEN.0000000000000068

PubMed Abstract | CrossRef Full Text | Google Scholar

Giulian, D., Li, J., Leara, B., and Keenen, C. (1994). Phagocytic microglia release cytokines and cytotoxins that regulate the survival of astrocytes and neurons in culture. Neurochem. Int. 25, 227–233. doi: 10.1016/0197-0186(94)90066-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Guedes, J. R., Custódia, C. M., Silva, R. J., de Almeida, L. P., Pedroso de Lima, M. C., and Cardoso, A. L. (2014). Early miR-155 upregulation contributes to neuroinflammation in Alzheimer’s disease triple transgenic mouse model. Hum. Mol. Genet. 23, 6286–6301. doi: 10.1093/hmg/ddu348

PubMed Abstract | CrossRef Full Text | Google Scholar

Han, Z., Chen, F., Ge, X., Tan, J., Lei, P., and Zhang, J. (2014). miR-21 alleviated apoptosis of cortical neurons through promoting PTEN-Akt signaling pathway in vitro after experimental traumatic brain injury. Brain Res. 1582, 12–20. doi: 10.1016/j.brainres.2014.07.045

PubMed Abstract | CrossRef Full Text | Google Scholar

Harraz, M. M., Eacker, S. M., Wang, X., Dawson, T. M., and Dawson, V. L. (2012). MicroRNA-223 is neuroprotective by targeting glutamate receptors. Proc. Natl. Acad. Sci. U S A 109, 18962–18967. doi: 10.1073/pnas.1121288109

PubMed Abstract | CrossRef Full Text | Google Scholar

Harrison, E. B., Hochfelder, C. G., Lamberty, B. G., Meays, B. M., Morsey, B. M., Kelso, M. L., et al. (2016). Traumatic brain injury increases levels of miR-21 in extracellular vesicles: implications for neuroinflammation. FEBS Open Bio. 6, 835–846. doi: 10.1002/2211-5463.12092

PubMed Abstract | CrossRef Full Text | Google Scholar

Hauss-Wegrzyniak, B., Lynch, M., Vraniak, P., and Wenk, G. (2002). Chronic brain inflammation results in cell loss in the entorhinal cortex and impaired LTP in perforant path-granule cell synapses. Exp. Neurol. 176, 336–341. doi: 10.1006/exnr.2002.7966

PubMed Abstract | CrossRef Full Text | Google Scholar

Hinson, H. E., Rowell, S., and Schreiber, M. (2015). Clinical evidence of inflammation driving secondary brain injury: a systematic review. J. Trauma. Acute Care Surg. 78, 184–191. doi: 10.1097/TA.0000000000000468

PubMed Abstract | CrossRef Full Text | Google Scholar

Honda, K., and Taniguchi, T. (2006). IRFs: master regulators of signalling by Toll-like receptors and cytosolic pattern-recognition receptors. Nat. Rev. Immunol. 6, 644–658. doi: 10.1038/nri1900

PubMed Abstract | CrossRef Full Text | Google Scholar

Hu, Z., Yu, D., Almeida-Suhett, C., Tu, K., Marini, A. M., Eiden, L., et al. (2012). Expression of miRNAs and their cooperative regulation of the pathophysiology in traumatic brain injury. PLoS One 7:e39357. doi: 10.1371/journal.pone.0039357

PubMed Abstract | CrossRef Full Text | Google Scholar

Johnson, V. E., Stewart, J. E., Begbie, F. D., Trojanowski, J. Q., Smith, D. H., and Stewart, W. (2013). Inflammation and white matter degeneration persist for years after a single traumatic brain injury. Brain 136, 28–42. doi: 10.1093/brain/aws322

PubMed Abstract | CrossRef Full Text | Google Scholar

Karve, I. P., Zhang, M., Habgood, M., Frugier, T., Brody, K. M., Sashindranath, M., et al. (2016). Ablation of type-1 IFN signaling in hematopoietic cells confers protection following traumatic brain injury. eNeuro 3:ENEURO.0128-15.2016. doi: 10.1523/ENEURO.0128-15.2016

PubMed Abstract | CrossRef Full Text | Google Scholar

Khudayberdiev, S. A., Zampa, F., Rajman, M., and Schratt, G. (2013). A comprehensive characterization of the nuclear microRNA repertoire of post-mitotic neurons. Front. Mol. Neurosci. 6:43. doi: 10.3389/fnmol.2013.00043

PubMed Abstract | CrossRef Full Text | Google Scholar

Kieseier, B. C. (2011). The mechanism of action of interferon-beta in relapsing multiple sclerosis. CNS Drugs 25, 491–502. doi: 10.2165/11591110-000000000-00000

PubMed Abstract | CrossRef Full Text | Google Scholar

Kosik, K. S. (2006). The neuronal microRNA system. Nat. Rev. Neurosci. 7, 911–920. doi: 10.1038/nrn2037

PubMed Abstract | CrossRef Full Text | Google Scholar

Koval, E. D., Shaner, C., Zhang, P., du Maine, X., Fischer, K., Tay, J., et al. (2013). Method for widespread microRNA-155 inhibition prolongs survival in ALS-model mice. Hum. Mol. Genet. 22, 4127–4135. doi: 10.1093/hmg/ddt261

PubMed Abstract | CrossRef Full Text | Google Scholar

Ksiazek-Winiarek, D. J., Kacperska, M. J., and Glabinski, A. (2013). MicroRNAs as novel regulators of neuroinflammation. Mediators Inflammation 2013:172351. doi: 10.1155/2013/172351

PubMed Abstract | CrossRef Full Text | Google Scholar

Lei, P., Li, Y., Chen, X., Yang, S., and Zhang, J. (2009). Microarray based analysis of microRNA expression in rat cerebral cortex after traumatic brain injury. Brain Res. 1284, 191–201. doi: 10.1016/j.brainres.2009.05.074

PubMed Abstract | CrossRef Full Text | Google Scholar

Lippai, D., Bala, S., Csak, T., Kurt-Jones, E. A., and Szabo, G. (2013). Chronic alcohol-induced microRNA-155 contributes to neuroinflammation in a TLR4-dependent manner in mice. PLoS One 8:e70945. doi: 10.1371/journal.pone.0070945

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, L., Sun, T., Liu, Z., Chen, X., Zhao, L., Qu, G., et al. (2014). Traumatic brain injury dysregulates microRNAs to modulate cell signaling in rat hippocampus. PLoS One 9:e103948. doi: 10.1371/journal.pone.0103948

PubMed Abstract | CrossRef Full Text | Google Scholar

Loeb, G. B., Khan, A. A., Canner, D., Hiatt, J. B., Shendure, J., Darnell, R. B., et al. (2012). Transcriptome-wide miR-155 binding map reveals widespread noncanonical microRNA targeting. Mol. Cell 48, 760–770. doi: 10.1016/j.molcel.2012.10.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Löffler, D., Brocke-Heidrich, K., Pfeifer, G., Stocsits, C., Hackermüller, J., Kretzschmar, A. K., et al. (2007). Interleukin-6 dependent survival of multiple myeloma cells involves the Stat3-mediated induction of microRNA-21 through a highly conserved enhancer. Blood 110, 1330–1333. doi: 10.1182/blood-2007-03-081133

PubMed Abstract | CrossRef Full Text | Google Scholar

Mattson, M. P., and Scheff, S. W. (1994). Endogenous neuroprotection factors and traumatic brain injury: mechanisms of action and implications for therapy. J. Neurotrauma 11, 3–33. doi: 10.1089/neu.1994.11.3

PubMed Abstract | CrossRef Full Text | Google Scholar

Maussion, G., Yang, J., Yerko, V., Barker, P., Mechawar, N., Ernst, C., et al. (2012). Regulation of a truncated form of tropomyosin-related kinase B (TrkB) by Hsa-miR-185* in frontal cortex of suicide completers. PLoS One 7:e39301. doi: 10.1371/journal.pone.0039301

PubMed Abstract | CrossRef Full Text | Google Scholar

Meissner, L., Gallozzi, M., Balbi, M., Schwarzmaier, S., Tiedt, S., Terpolilli, N. A., et al. (2016). Temporal profile of microRNA expression in contused cortex after traumatic brain injury in mice. J. Neurotrauma 33, 713–720. doi: 10.1089/neu.2015.4077

PubMed Abstract | CrossRef Full Text | Google Scholar

Nakagawa, R., Naka, T., Tsutsui, H., Fujimoto, M., Kimura, A., Abe, T., et al. (2002). SOCS-1 participates in negative regulation of LPS responses. Immunity 17, 677–687. doi: 10.1016/s1074-7613(02)00449-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Nudo, R. J. (2011). Neural bases of recovery after brain injury. J. Commun. Disord. 44, 515–520. doi: 10.1016/j.jcomdis.2011.04.004

PubMed Abstract | CrossRef Full Text | Google Scholar

O’Connell, R. M., Chaudhuri, A. A., Rao, D. S., and Baltimore, D. (2009). Inositol phosphatase SHIP1 is a primary target of miR-155. Proc. Natl. Acad. Sci. U S A 106, 7113–7118. doi: 10.1073/pnas.0902636106

PubMed Abstract | CrossRef Full Text | Google Scholar

O’Connell, R. M., Rao, D. S., and Baltimore, D. (2012). microRNA regulation of inflammatory responses. Annu. Rev. Immunol. 30, 295–312. doi: 10.1146/annurev-immunol-020711-075013

PubMed Abstract | CrossRef Full Text | Google Scholar

O’Connell, R. M., Taganov, K. D., Boldin, M. P., Cheng, G., and Baltimore, D. (2007). MicroRNA-155 is induced during the macrophage inflammatory response. Proc. Natl. Acad. Sci. U S A 104, 1604–1609. doi: 10.1073/pnas.0610731104

PubMed Abstract | CrossRef Full Text | Google Scholar

Parisi, C., Arisi, I., D’Ambrosi, N., Storti, A. E., Brandi, R., D’Onofrio, M., et al. (2013). Dysregulated microRNAs in amyotrophic lateral sclerosis microglia modulate genes linked to neuroinflammation. Cell Death Dis. 4:e959. doi: 10.1038/cddis.2013.491

PubMed Abstract | CrossRef Full Text | Google Scholar

Rasko, J. E., and Wong, J. L. (2017). Nuclear microRNAs in normal hemopoiesis and cancer. J. Hematol. Oncol. 10:8. doi: 10.1186/s13045-016-0375-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Redell, J. B., Liu, Y., and Dash, P. K. (2009). Traumatic brain injury alters expression of hippocampal microRNAs: potential regulators of multiple pathophysiological processes. J. Neurosci. Res. 87, 1435–1448. doi: 10.1002/jnr.21945

PubMed Abstract | CrossRef Full Text | Google Scholar

Roberts, T. C. (2014). The microRNA biology of the mammalian nucleus. Mol. Ther. Nucleic Acids 3:e188. doi: 10.1038/mtna.2014.40

PubMed Abstract | CrossRef Full Text | Google Scholar

Rosato, P. C., and Leib, D. A. (2015). Neuronal interferon signaling is required for protection against herpes simplex virus replication and pathogenesis. PLoS Pathog. 11:e1005028. doi: 10.1371/journal.ppat.1005028

PubMed Abstract | CrossRef Full Text | Google Scholar

Saatman, K. E., Feeko, K. J., Pape, R. L., and Raghupathi, R. (2006). Differential behavioral and histopathological responses to graded cortical impact injury in mice. J. Neurotrauma 23, 1241–1253. doi: 10.1089/neu.2006.23.1241

PubMed Abstract | CrossRef Full Text | Google Scholar

Schneider, C. A., Rasband, W. S., and Eliceiri, K. W. (2012). NIH Image to ImageJ: 25 years of image analysis. Nat. Methods 9, 671–675. doi: 10.1038/nmeth.2089

PubMed Abstract | CrossRef Full Text | Google Scholar

Serafini, G., Pompili, M., Hansen, K. F., Obrietan, K., Dwivedi, Y., Shomron, N., et al. (2014). The involvement of microRNAs in major depression, suicidal behavior, and related disorders: a focus on miR-185 and miR-491–3p. Cell. Mol. Neurobiol. 34, 17–30. doi: 10.1007/s10571-013-9997-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Singh, R. P., Massachi, I., Manickavel, S., Singh, S., Rao, N. P., Hasan, S., et al. (2013). The role of miRNA in inflammation and autoimmunity. Autoimmun. Rev. 12, 1160–1165. doi: 10.1016/j.autrev.2013.07.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Smith, D. H., Soares, H. D., Pierce, J. S., Perlman, K. G., Saatman, K. E., Meaney, D. F., et al. (1995). A model of parasagittal controlled cortical impact in the mouse: cognitive and histopathologic effects. J. Neurotrauma 12, 169–178. doi: 10.1089/neu.1995.12.169

PubMed Abstract | CrossRef Full Text | Google Scholar

Stanczyk, J., Pedrioli, D. M. L., Brentano, F., Sanchez-Pernaute, O., Kolling, C., Gay, R. E., et al. (2008). Altered expression of MicroRNA in synovial fibroblasts and synovial tissue in rheumatoid arthritis. Arthritis Rheum. 58, 1001–1009. doi: 10.1002/art.23386

PubMed Abstract | CrossRef Full Text | Google Scholar

Sun, T. Y., Chen, X. R., Liu, Z. L., Zhao, L. L., Jiang, Y. X., Qu, G. Q., et al. (2014). Expression profiling of microRNAs in hippocampus of rats following traumatic brain injury. J. Huazhong Univ. Sci. Technol. Med. Sci. 34, 548–553. doi: 10.1007/s11596-014-1313-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Taganov, K. D., Boldin, M. P., Chang, K. J., and Baltimore, D. (2006). NF-κB-dependent induction of microRNA miR-146, an inhibitor targeted to signaling proteins of innate immune responses. Proc. Natl. Acad. Sci. U S A 103, 12481–12486. doi: 10.1073/pnas.0605298103

PubMed Abstract | CrossRef Full Text | Google Scholar

Thome, A. D., Harms, A. S., Volpicelli-Daley, L. A., and Standaert, D. G. (2016). MicroRNA-155 regulates alpha-synuclein-induced inflammatory responses in models of Parkinson disease. J. Neurosci. 36, 2383–2390. doi: 10.1523/JNEUROSCI.3900-15.2016

PubMed Abstract | CrossRef Full Text | Google Scholar

Thounaojam, M. C., Kaushik, D. K., and Basu, A. (2013). MicroRNAs in the brain: it’s regulatory role in neuroinflammation. Mol. Neurobiol. 47, 1034–1044. doi: 10.1007/s12035-013-8400-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Valencia-Sanchez, M. A., Liu, J., Hannon, G. J., and Parker, R. (2006). Control of translation and mRNA degradation by miRNAs and siRNAs. Genes Dev. 20, 515–524. doi: 10.1101/gad.1399806

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, P., Hou, J., Lin, L., Wang, C., Liu, X., Li, D., et al. (2010). Inducible microRNA-155 feedback promotes type I IFN signaling in antiviral innate immunity by targeting suppressor of cytokine signaling 1. J. Immunol. 185, 6226–6233. doi: 10.4049/jimmunol.1000491

PubMed Abstract | CrossRef Full Text | Google Scholar

Yelamanchili, S. V., Chaudhuri, A. D., Chen, L. N., Xiong, H., and Fox, H. S. (2010). MicroRNA-21 dysregulates the expression of MEF2C in neurons in monkey and human SIV/HIV neurological disease. Cell Death Dis. 1:e77. doi: 10.1038/cddis.2010.56

PubMed Abstract | CrossRef Full Text | Google Scholar

Zaloshnja, E., Miller, T., Langlois, J. A., and Selassie, A. W. (2008). Prevalence of long-term disability from traumatic brain injury in the civilian population of the United States, 2005. J. Head Trauma. Rehabil. 23, 394–400. doi: 10.1097/01.HTR.0000341435.52004.ac

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, L., Dong, L. Y., Li, Y. J., Hong, Z., and Wei, W. S. (2012). miR-21 represses FasL in microglia and protects against microglia-mediated neuronal cell death following hypoxia/ischemia. Glia 60, 1888–1895. doi: 10.1002/glia.22404

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, X., Ng, W.-L., Wang, P., Tian, L., Werner, E., Wang, H., et al. (2012). MicroRNA-21 modulates the levels of reactive oxygen species by targeting SOD3 and TNFα. Cancer Res. 72, 4707–4713. doi: 10.1158/0008-5472.CAN-12-0639

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhou, H., Huang, X., Cui, H., Luo, X., Tang, Y., Chen, S., et al. (2010). miR-155 and its star-form partner miR-155* cooperatively regulate type I interferon production by human plasmacytoid dendritic cells. Blood 116, 5885–5894. doi: 10.1182/blood-2010-04-280156

PubMed Abstract | CrossRef Full Text | Google Scholar