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Molecular Effects of Spaceflight in the Mouse Eye after Space Shuttle Mission STS-135


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INTRODUCTION

Space exploration involves challenges for an extended human presence. The space environment exposes the human body to a unique combination of physical and psychological stressors. Most noteworthy are the effects of microgravity and high charge/high energy (HZE) particle radiation with a potential for hypoxia (in off-nominal situations), occasional hyperoxia, dietary restrictions, and possible nutritional deficiencies as significant hazardous confounding factors (Sonnenfeld et al., 2003; Taibbi et al., 2013; Taylor et al., 2013; Sides et al., 2005; Mader et al., 1999; Planel et al., 1989; Reitz et al., 2009; Cucinotta et al., 2001; Cucinotta et al., 2008). Microgravity induces cephalad fluid shifts and physical unloading, leading to deleterious effects such as muscle atrophy, loss of bone mass, cardiovascular alterations, postflight orthostatic intolerance, and immunosuppression (Pietsch et al., 2011; Sundaresan and Pellis, 2009; Blaber et al., 2013). More recently, ocular changes associated with spaceflight have been reported in astronauts exhibiting alterations in near visual acuity and other ocular-based signs and symptoms (Alexander et al., 2012). These medical data describe evidence of optic disc edema, choroidal folds and posterior globe flattening, hyperoptic shift in vision, optic nerve sheath distension, and in some cases, optic nerve kinking and empty sella (Kramer et al., 2012; Mader et al., 2011), possibly associated with intracranial pressure increase. Identifying causative factors and investigating microgravity’s influence as a source of stress for the eye have acquired importance.

Previous basic research investigating the effects of spaceflight on eye structures and general ocular health is scarce and limited to basic histopathology on space-flown animal models (Marshall-Bowman et al., 2013). Neonatal rats flown for nine days onboard the Space Shuttle mission STS-72 displayed clear evidence of retinal degeneration (Tombran-Tink and Barnstable, 2006). In another study, adult rats flown onboard Russian Cosmos satellites for approximately 14 days exhibited cellular swelling in the retina and retinal disruption (Philpott et al., 1980).

Recently, our group investigated the effects of spaceflight on the eyes of mice flown onboard Space Shuttle mission STS-133 and, for the first time, reported molecular and cellular changes correlating to the histopathologic outcomes (Zanello et al., 2013). Flight samples from that study stained positive for β-amyloid and glial fibrillary acidic protein (GAFP) in the optic nerve. Retina from mice flown on STS-133 also showed increased levels of 8-hydroxy-2’-deoxyguanosine (8OHdG), an oxidized form of guanosine that serves as a standard biomarker of oxidative DNA damage, and of caspase-3 immunoreactivity, suggesting an early step both in the extrinsic (death ligand) and intrinsic (mitochondria) apoptosis pathway. In addition, upregulated levels of oxidative and cellular stress response genes were detected. Herein, we report the findings of a subsequent animal experiment onboard STS-135 in which we expanded the molecular aspects of the impact of spaceflight on retinal biology by performing differential gene expression profiling between mice flown onboard STS-135 and their ground control counterparts.

MATERIALS AND METHODS
Animals

This work is the result of a tissue sharing effort that utilized specimens collected from a parent animal experiment onboard STS-135. Animal procedures were approved by the NASA Ames Research Center and Kennedy Space Center institutional animal care and use committees. Mice were flown onboard STS-135 that lifted off at 11:29 a.m. EDT on July 8, 2011 and landed at 5:57 a.m. on July 21, 2011. The mission duration was 12 days, 18 hours, and 28 minutes.

Male 9 to 11 week-old C57BL/6 mice were assigned to one of two experimental groups: Flight (FLT) and Animal Enclosure Module (AEM) ground controls. Both eyes from three animals for each group (n=3) were used in this study, one for gene expression analysis and the other for histology. The flight animals were housed in AEMs identical to the ground controls, and our analysis focuses on the comparison between these two conditions. The AEM is a self-contained habitat that provides ventilation, waste management, food, water, and controlled lighting (Naidu et al., 1995), and has previously been used in experiments studying rodent biology during spaceflight. The AEM was located in the middeck locker of the Space Shuttle, and the temperature was set at 3 to 8°C above the environmental middeck temperature. Lighting of 14 lux was set to a 12 hour day/12 hour night cycle for both FLT and AEM habitats.

After euthanasia at day one of landing, one eye of each mouse was enucleated and fixed for histologic examination. The contralateral eye was placed in RNA preservative (RNAlater®) until further dissection, which was performed by making an incision by scalpel to separate the posterior eye cup, removing the lens and vitreous and carefully scraping the retina. The retina was then placed again in RNAlater® and processed for gene expression profiling by microarray analysis as described below.

Materials

A 4% paraformaldehyde-based histologic fixative was obtained from Excalibur Pathology, Inc., Oklahoma City, OK. Goat polyclonal antibody to 8-hydroxy-2’-deoxyguanosine (8-OHdG) (ab10802) and rabbit polyclonal antibody to activated caspase-3 (ab52181) were purchased from Abcam Inc., Cambridge, MA. Paraffin embedding and histological sectioning were contracted from Excalibur Pathology. RNA isolation reagents were purchased from Qiagen Inc., Valencia, CA and BioRad, Hercules, CA. Tissue samples were assigned a different number for immunohistochemistry evaluation and gene profiling in order to perform a masked analysis.

Histology and Immunohistochemistry

Fixed eyes were paraffin embedded, sectioned at 5 μm thickness, and stained with standard hematoxylin-eosin (H&E) for histologic examination. Two immunohistologic stains were performed: 8OHdG to detect oxidative-related DNA damage and activated caspase-3 to study apoptosis. For 8OHdG and caspase-3 staining, sections were equilibrated in water after deparaffinization and treated sequentially in 3% hydrogen peroxide, 1% acetic acid, and 2.5% serum (Vector Labs, Burlingame, CA) before incubating with the diluted primary antibody for either two hours at room temperature or overnight at 4°C. After washing, the specimens were incubated with Vector ImmPress detection kit, corresponding to the primary antibody’s host and counterstained with hematoxylin.

Caspase-3 Detection

A qualitative approach was used to compare apoptosis in the retina. Activated caspase-3 positive cells were identified for the retinal ganglion cell (RGC) layer in a retina section for each sample. The histologic sections were cut in the proximity of the optic nerve head for better comparison.

8OHdG Immunoreactivity Quantification

Estimation of the 8OHdG immunoreactivity was done using ImageJ software (masked for specific study groups) on 8OHdG stained slides. Briefly, digital color images of the retina were processed using NIH ImageJ ver.1.68 (NIH) and converted to an 8-bit inverted grayscale image for analysis. Regions of interest were selected from each retinal section, corresponding to the RGC layer, inner nuclear layer (INL), and outer nuclear layer (ONL), as well as nearby areas without immunoreactivity for background measurements. Five sections were analyzed for each sample, for which the mean density per unit area (minus mean background density) was measured. A 2-tailed t test with an alpha of p < 0.05 was used to determine statistical significance.

Gene Expression Analysis

Mouse retina was microdissected and isolated from the rest of the eye and then placed again in RNAlater®. Total RNA was then isolated from the retina using the AllPrep DNA/RNA Micro kit (Qiagen, Valencia, CA) and analyzed for quality using an Agilent 2100 Bioanalyzer (Agilent Technologies, Inc., Santa Clara, CA). All samples used reported a RNA Integrity Number (RIN) >6.0 and were confirmed to have 2 sharp bands/peaks representing the 28s and 18s RNA. Some variability in the RIN among samples was observed, presumably due to a handling delay in sample processing that derived from reasons out of our control, which caused the samples to remain in RNAlater® at 4°C for four months before dissection of the retina. Microarray gene expression analysis was performed at the University of Texas Medical Branch (UTMB) at Galveston Molecular Genomics Core using Affymetrix Mouse 430 2.0 GeneChip (Affymetrix, Inc., Santa Clara, CA) with Affymetrix Expression Console and Transcriptome Analysis Console for secondary analysis. An Ingenuity iReport (Ingenuity Systems, Redwood City, CA) was then generated for canonical pathway identification. Two-way (gene and sample) hierarchical cluster analysis was performed on log-transformed, median-centered, and normalized signals from the FLT and AEM ground control samples. Normalized expression values were obtained using the Robust Multichip Analysis (RMA) algorithm. Results were visualized with the Transcriptome Analysis Console software 1.0.0.234 (Affymetrix, Inc.) using a cut-off P value of 0.05 and a minimum fold-change of 1.5.

RESULTS
Caspase-3 Analysis of Retina Specimens

Caspase-3 immunoreactivity was moderate and localized mostly in some RGCs. Caspase-3 positive cells in the RGC layer showed intense cytoplasmic and neurite staining, particularly in the FLT samples. Representative images are present in Figure 1 (Panels A and B) with arrows pointing to localized Caspase staining. Higher magnification views are shown for the AEM (panel C) and FLT (panel D) in Figure 1. We observed signs of retinal disruption at the level of the photoreceptors and INL, with vacuolization and cell swelling.

Figure 1.

Activated caspase-3 immunoreactivity in mouse retina. Representative images of histological sections stained for caspase-3 are presented for AEM ground controls (Panel A) and FLT samples (Panel B). Individual cells staining positive for caspase-3 and undergoing various morphological changes are denoted by arrows (→) in Panels A & B. Panels C and D are higher magnifications of A and B, respectively. Retina cell layers are labeled between Panels C and D as ONL, INL, and RGC.

8OHdG Analysis of Retina Specimens

To quantify oxidative DNA damage in the retina, densitometric quantification of 8OHdG immunohistochemistry was performed on eye sections (n=3/group), as presented in Figure 2. A statistically significant increase in 8OHdG was detected in the INL between the FLT and AEM ground control groups. 8OHdG intensity levels were not shown to be statistically different in the ONL and the RGC between FLT samples and AEM ground controls.

Figure 2.

8OHdG immunoreactivity in neuronal retina layers. Each individual neuronal cell layer was analyzed for 8OHdG specific immunostaining intensity. Results shown are mean intensities from analysis of at least 5 sections per sample (n=3) for each group. Statistical significance is noted in the graph.

Microarray Analysis of Retina Specimens

Microarray analysis was performed using the Mouse Expression Set 430 microchip, which allows the independent multi-probe detection of over 39,000 transcripts on a single array. Using the analytical parameters specified in the Methods section, 139 differentially expressed genes were identified in FLT retina samples compared to AEM controls (at least 1.5-fold expression change, P<0.05), of which 107 gene probesets were upregulated and 32 gene probesets were downregulated (Table 1). The 139 differentially expressed genes were analyzed with a 2-way hierarchical cluster analysis and presented in Figure 3. The samples analyzed formed two groups on the horizontal axis, clearly separating the three FLT samples (right three lanes) from the three AEM samples (left three lanes) (Figure 3, Panel B). Figure 3 also shows two examples of downregulated clusters that contain numerous genes involved in transcription regulation and histone maintenance (Panel C).

Summary of the 139 differentially expressed genes in FLT compared to AEM ground controls. Genes are listed according to fold change and its associated known molecular function.

Symbol: NameFold ChangeMolecular Function
DSP: desmoplakin4.01other
LY6E: lymphocyte antigen 6 complex, locus E2.95other
LCN2: lipocalin 22.75transporter
SLC44A2: solute carrier family 44, member 22.55transporter
CIRBP: cold inducible RNA binding protein2.48translation regulator
POU4F1: POU class 4 homeobox 12.44transcription regulator
SGMS2: sphingomyelin synthase 22.36enzyme
Defb9: defensin beta 92.36other
RIPK4: receptor-interacting serine-threonine kinase 42.32kinase
RPRD2: regulation of nuclear pre-mRNA domain containing 22.15other
PAQR8: progestin and adipoQ receptor family member VIII2.04other
1700019G17Rik/Cml2: camello-like 21.99other
CUL2: cullin 21.98enzyme
ALCAM: activated leukocyte cell adhesion molecule1.96other
ZBTB16: zinc finger and BTB domain containing 161.95transcription regulator
CLVS1: clavesin 11.93other
ZC3H6: zinc finger CCCH-type containing 61.92other
B4GALNT1: beta-1,4-N-acetyl-galactosaminyl transferase 11.92enzyme
GNA13: guanine nucleotide binding protein (G protein), alpha 131.89enzyme
CTSH: cathepsin H1.87peptidase
WFS1: Wolfram syndrome 11.84enzyme
HNRPDL: heterogeneous nuclear ribonucleoprotein D-like1.84other
PARP12: poly (ADP-ribose) polymerase family, member 121.83other
EHD4: EH-domain containing 41.82enzyme
ACOT9: acyl-CoA thioesterase 91.81enzyme
AGXT2L1: alanine-glyoxylate aminotransferase 2-like 11.80enzyme
SH3YL1: SH3 domain containing, Ysc84-like 11.80other
2210403K04Rik: RIKEN cDNA 2210403K04 gene1.79other
INPP1: inositol polyphosphate-1-phosphatase1.79phosphatase
SLC39A4: solute carrier family 39 (zinc transporter), member 41.79transporter
ZSCAN21: zinc finger and SCAN domain containing 211.79transcription regulator
CMAS: cytidine monophosphate N-acetylneuraminic acid synthetase1.77enzyme
KALRN: kalirin, RhoGEF kinase1.76kinase
RUFY2: RUN and FYVE domain containing 21.76other
TRIM25: tripartite motif containing 251.76transcription regulator
ANGPTL4: angiopoietin-like 41.74other
CHST15: carbohydrate (N-acetylgalactosamine 4-sulfate 6-O) sulfotransferase 151.73enzyme
PEX13: peroxisomal biogenesis factor 131.72transporter
MKRN1: makorin ring finger protein 11.72other
A2M: alpha-2-macroglobulin1.72transporter
MRPL15: mitochondrial ribosomal protein L151.71other
FABP4: fatty acid binding protein 4, adipocyte1.71transporter
AI451250: expressed sequence AI4512501.69other
KRT23: keratin 23 (histone deacetylase inducible)1.69other
FKBP5: FK506 binding protein 51.69enzyme
FAM194A: family with sequence similarity 194, member A1.66other
MFSD6: major facilitator superfamily domain containing 61.66other
Gm9776: predicted gene 97761.66other
SDR42E1: short chain dehydrogenase/reductase family 42E, member 11.66enzyme
A930041H05Rik: RIKEN cDNA A930041H05 gene1.65other
TXNRD3: thioredoxin reductase 31.65enzyme
Pax6os1: Pax6 opposite strand transcript 11.65other
SLC1A1: solute carrier family 1 (neuronal/epithelial high affinity glutamate transporter), member 11.64transporter
COL19A1 (includes EG:12823): collagen, type XIX, alpha 11.63other
GPCPD1: glycerophosphocholine phosphodiesterase GDE1 homolog (S. cerevisiae)1.62other
LGI1: leucine-rich, glioma inactivated 11.62other
DCXR: dicarbonyl/L-xylulose reductase1.62enzyme
SBSN: suprabasin1.62other
NIPSNAP1: nipsnap homolog 1 (C. elegans)1.61enzyme
SMC6: structural maintenance of chromosomes 61.61other
REPS2: RALBP1 associated Eps domain containing 21.60other
HIST2H2AA3/HIST2H2AA4: histone cluster 2, H2aa31.60other
CRISPLD2: cysteine-rich secretory protein LCCL domain containing 21.59other
SORL1: sortilin-related receptor1.59transporter
WWC1: WW and C2 domain containing 11.59transcription regulator
DHCR24: 24-dehydrocholesterol reductase1.59enzyme
ACSL5: acyl-CoA synthetase long-chain family member 51.59enzyme
SMOX: spermine oxidase1.58enzyme
CHCHD7: coiled-coil-helix-coiled-coil-helix domain containing 71.58other
NT5C2: 5’-nucleotidase, cytosolic II1.58phosphatase
CPNE8: copine VIII1.58other
TCTA: T-cell leukemia translocation altered gene1.58other
PLEKHH1: pleckstrin homology domain containing, family H (with MyTH4 domain) member 11.57other
Rbpms: RNA binding protein gene with multiple splicing1.57transcription regulator
TTLL11: tubulin tyrosine ligase-like family, member 111.57other
FEM1C: fem-1 homolog c (C. elegans)1.57transcription regulator
PLIN4: perilipin 41.57other
CDA: cytidine deaminase1.57enzyme
IFI35: interferon-induced protein 351.56other
UGT1A6: UDP glucuronosyltransferase 1 family, polypeptide A61.56enzyme
D130037M23Rik: RIKEN cDNA D130037M23 gene1.56other
SLC7A1: solute carrier family 7 (cationic amino acid transporter, y+ system), member 11.56transporter
SNRPD3: small nuclear ribonucleoprotein D3 polypeptide 18kDa1.55other
TSC22D3: TSC22 domain family, member 31.55other
KAZN: kazrin, periplakin interacting protein1.55other
SH3BP5: SH3-domain binding protein 5 (BTK-associated)1.55other
CHL1: cell adhesion molecule with homology to L1CAM1.54other
HNRNPD: heterogeneous nuclear ribonucleoprotein D1.54transcription regulator
PLIN2: perilipin 21.54other
PTGIS: prostaglandin I2 (prostacyclin) synthase1.53enzyme
ARMCX5: armadillo repeat containing, X-linked 51.53other
TNFAIP2: tumor necrosis factor, alpha-induced protein 21.53other
BRD8: bromodomain containing 81.53transcription regulator
BTBD11: BTB (POZ) domain containing 111.53transcription regulator
PHYHIP: phytanoyl-CoA 2-hydroxylase interacting protein1.53other
RBM3: RNA binding motif (RNP1, RRM) protein 31.52other
HAGHL: hydroxyacylglutathione hydrolase-like1.51enzyme
MARVELD2: MARVEL domain containing 21.51other
WWP2: WW domain containing E3 ubiquitin protein ligase 21.51enzyme
DIS3: DIS3 mitotic control homolog (S. cerevisiae)1.51enzyme
ZBTB22: zinc finger and BTB domain containing 221.51other
CYB561: cytochrome b-5611.51enzyme
RNF208: ring finger protein 2081.51other
FAM122B: family with sequence similarity 122B1.51other
UPK3B: uroplakin 3B1.51other
C6orf115: chromosome 6 open reading frame 1151.50other
MARCH7: membrane-associated ring finger (C3HC4) 71.50other
HSPH1: heat shock 105kDa/110kDa protein 1-1.51other
LOC100505793/SRSF10: serine/arginine-rich splicing factor 10-1.51other
LIMA1: LIM domain and actin binding 1-1.53other
KDM2A: lysine (K)-specific demethylase 2A-1.53other
CREBZF: CREB/ATF bZIP transcription factor-1.54transcription regulator
CRELD2: cysteine-rich with EGF-like domains 2-1.54other
BCAS2: breast carcinoma amplified sequence 2-1.54other
DYNLL1: dynein, light chain, LC8-type 1-1.55other
BB116930: expressed sequence BB116930-1.55other
SRSF6: serine/arginine-rich splicing factor 6-1.56other
CHORDC1: cysteine and histidine-rich domain (CHORD) containing 1-1.57other
PUM2: pumilio homolog 2 (Drosophila)-1.59other
HIST3H2A: histone cluster 3, H2a-1.61other
TRPM1: transient receptor potential cation channel, subfamily M, member 1-1.62ion channel
TRIM47: tripartite motif containing 47-1.62other
4931428L18Rik: RIKEN cDNA 4931428L18 gene-1.63other
XBP1 (includes EG:140614): X-box binding protein 1-1.65transcription regulator
HIST1H3A: histone cluster 1, H3a-1.66other
HSPA5: heat shock 70kDa protein 5-1.69enzyme
6530402F18Rik: RIKEN cDNA 6530402F18 gene-1.70other
ARSI: arylsulfatase family, member I-1.70enzyme
NECAB1: N-terminal EF-hand calcium binding protein 1-1.73other
CPSF6: cleavage and polyadenylation specific factor 6, 68kDa-1.73other
BTG1: B-cell translocation gene 1, anti-proliferative-1.74transcription regulator
HIST2H3C (includes others): histone cluster 2, H3c-1.79other
CA8: carbonic anhydrase VIII-1.79enzyme
C430048L16Rik/Rbm12b: RIKEN cDNA C430048L16 gene-1.89other
TRA2A: transformer 2 alpha homolog (Drosophila)-2.10other
MALAT1: metastasis associated lung adenocarcinoma transcript 1-2.15other
S1PR3: sphingosine-1-phosphate receptor 3-2.26G-protein coupled receptor
SFPQ: splicing factor proline/glutamine-rich-2.33other
SLC5A3: solute carrier family 5 (sodium/myo-inositol cotransporter), member 3-2.64transporter

Figure 3.

Hierarchical cluster analysis of AEM control and FLT samples using the 139 differentially expressed probesets identified by gene expression profiling. Hierarchical cluster analysis of microarray results of AEM and FLT samples (Panel A). Expanded view of the dendogram showing AEM and FLT sample clustering (Panel B). Expanded view of two representative downregulated gene clusters (Panel C).

Relevant gene expression changes were organized and filtered biologically and functionally by pathway analysis tools based on the Ingenuity Knowledge Base, a repository of curated biological interactions and functional annotations. The pathways were generated through the use of Ingenuity® iReport (Ingenuity® Systems, http://www.ingenuity.com) and are summarized in Table 2.

Potential molecular pathways, processes, and diseases states triggered by spaceflight in the mouse retina.

    PATHWAYS    PROCESSES    DISEASES
Endoplasmic Reticulum (ER) stressRNA processing (mRNA splicing)Molecular mechanisms of cancer
Pyrimidine metabolism RGCCell death of sensory neurons and nervous tissueNeurodegeneration of nerves and
Cytokine production and signaling (IL-1, IL-6, IL17)Apoptosis of microglia and neuronal cellsDegeneration of the optic nerve
Sphingosine-1-P signalingStabilization and assembly of desmosomesReactivation of herpes virus
Axonal guidance and actin cytoskeletonAxon branching
DISCUSSION

Our work explores the possible effects of the spaceflight environment on retinal biology, in an effort to shed light on the confounding factors and processes that may contribute to vision risks in space. Corollary to a previous report on the effects of spaceflight on the retina of BALB/cJ mice (Zanello et al., 2013), we now report results of a similar experiment carried out on C57BL mice onboard STS-135. The main findings in this work demonstrate evidence of increased oxidative stress-DNA damage, histological changes, as well as potential effects of spaceflight on retinal biology based on microarray gene expression profiling. Similar results have been reported by an independent group (Mao et al., 2013); however, the gene expression profiling performed in the cited work originated from non-dissected eyes that included all eye tissues and structures. The eye is a complex organ with a heterogeneous tissue composition due to its various structures: sclera, cornea, retina, lens, choroid, retina microvasculature, aqueous humor production, and drainage system. Therefore, gene expression derived from the entire eye globe does not precisely reflect the tissue of origin of the genetic responses. Our work presents, for the first time, comparative whole genome expression profiling of retinas dissected from mice exposed to spaceflight and their ground controls. Even in this case, we must bear in mind that the retina is composed of various cell types from both neural and vascular cellular populations.

A number of activated caspase-3 positive cells were observed, in particular, in the RGC layer of FLT samples, but due to the limitation in the number of sections, our examination was limited to a qualitative comparison. Overall, caspase-3 immunoreactivity in the FLT samples was observed to be localized at moderate levels in the RGC, with light levels seen throughout the photoreceptor inner segments. Of note, cytological alterations in the photoreceptor layer from FLT mice in this study were in line with previous reports in the literature of spaceflight induced damage to the ganglion cell layer and disruption of the plexiform layers and photoreceptors of rat neonates (Tombran-Tink and Barnstable 2006). Quantification of 8OHdG immunoreactivity showed statistically significant (P<0.05) increase in DNA damage in the INL of FLT mice compared to AEM controls. Similar findings were observed in the previous experiment in BALB/cJ mice; however, BALB/cJ mice showed larger damage in the photoreceptor layer upon exposure to spaceflight. The propensity of this strain to develop retinal degeneration due to light (Song et al., 2012; Hadziahmetovic et al., 2012; Whelan and McGinnis 1988; Chang et al., 2002) (and probably other kinds of electromagnetic radiation) may provide an explanation for this difference.

Pathway analysis derived from differential gene expression of microarray data revealed processes related to neuronal and glial cell loss, mechanisms of apoptosis, and ER stress. Evidence supporting these processes included, among others, the downregulation (-1.65 fold FLT vs. AEM) of XBP1, a potent transcription factor involved in the unfolded protein response (UPR). Processing of XBP1 mRNA is an obligate step in the UPR pathway and the IRE1/XBP-1 pathway is required for efficient protein folding, maturation, and degradation in the ER (Calfon et al., 2002; Lee et al., 2002; Sriburi et al., 2004). In addition, Hspa5, a member of the Hsp70 family that also resides in the ER and participates in protein folding, was also downregulated -1.69 fold, in agreement with a possible impairment of the ER stress response, which other studies have linked to increased susceptibility to Alzheimer’s disease (Hebert and Molinari 2007; Guzel et al., 2011; Hsu et al., 2008). A result of cellular insults that cause prolonged ER stress include apoptosis through caspase-7-mediated caspase-12 activation and lead to neuronal and glial cell loss (Nakagawa et al., 2000; Szegezdi et al., 2003).

Interestingly, XBP1 is also implicated in processes related to the reactivation of herpes virus (Lawson et al., 2008; Dalton-Griffin et al., 2009; Wilson et al., 2007). It is well known that virus reactivation is a common phenomenon associated with spaceflight, but the mechanisms leading to it are not understood (Brinley et al., 2013; Mehta et al., 2000; Mehta et al., 2004; Stowe et al., 2001). We must bear in mind that the retina is mostly composed of neural cells and that the herpes virus is neurotropic. A putative implication of XBP1 as a transcription factor crucial in the protection against viral reactivation in space is not implied, but could be further investigated to shed some light into possible targets for mitigation against the risk of viral reactivation in space.

Other differentially expressed genes between FLT and AEM retinas suggested pathways of neuronal cell loss and degeneration. SLC1A1, a member of the high-affinity glutamate transporters that play an essential role in transporting glutamate across plasma membranes, was upregulated +1.64 in FLT compared to AEM retinas. In the brain, these transporters are crucial in terminating the postsynaptic action of the neurotransmitter glutamate and in maintaining extracellular glutamate concentrations below neurotoxic levels (Sheldon and Robinson 2007; Deng et al., 2007; Arnold et al., 2006). It has also been shown to be involved in RGC death (Martins et al., 2006; Sheldon and Robinson, 2007) and its upregulation in FLT samples may suggest that glutamate level increase may be associated with space environmental factors. Concurrently, the transporter lipocalin 2 (LCN2) showed a marked upregulation of +2.75 fold in the FLT group. LCN2 has been shown in the literature to be related to inflammation in the retina following ischemia-reperfusion injury (Abcouwer et al., 2013) and may serve a similar role in modulating an inflammatory response to spaceflight.

Beta-amyloid deposits have previously been suggested as related to RGC and optic nerve degeneration (Zanello et al., 2013). Alpha-2-macroglobulin (A2M) inhibits many proteases, including trypsin, thrombin, and collagenase and is implicated in Alzheimer disease due to its ability to mediate the clearance and degradation of A-beta, the major component of beta-amyloid deposits (Liao et al., 1998; Blacker et al., 1998). Our results show that A2M was induced +1.72 fold in FLT compared to ground AEM, possibly suggesting the triggering of clearance mechanisms to reduce an increase in any deposits.

The RNA used in this study originated from dissected retina containing a mixed cell type population. While the major representation is of neural cells of various types, it is expected that some relevant genes were represented due to their expression in other retinal cell types. Endothelial cells from the retinal microvasculature are one example. S1PR3 encodes a member of the EDG family of receptors, which are G-protein coupled receptors (Crousillac et al., 2009). This protein has been identified as a functional receptor for sphingosine 1-phosphate and likely contributes to the regulation of angiogenesis and vascular endothelial cell function (Sanchez et al., 2007; Daum et al., 2009). We observed a significant downregulation of -2.26 fold in FLT retinas versus AEM, a change that may suggest vascular remodeling could be taking place in conjunction with some degree of retinal degeneration and neural remodeling and should be investigated in future studies. Changes in the expression of genes related to axonal guidance were also observed in FLT compared to AEM such as GNA13 and KALRN (Lee and Luo, 1999; Mandela et al., 2012), in agreement with the concept of vascular and neural guidance as coordinated processes (Suchting et al., 2006; Eichmann et al., 2005; Park et al., 2003). A significant upregulation of two key genes implicated in reorganization of the cytoskeleton, cell shape, and cell-cell adhesion by desmosomes, guanine nucleotide binding protein (G protein) alpha 13, and desmoplakin (+1.89 and +4.01 fold, respectively) also suggests that remodeling processes were taking placed in the stressed retinas of FLT mice.

In summary, these results bring light to some of the molecular processes taking place in the retina when mice are exposed to spaceflight environmental conditions. While we have highlighted the pathways that may be biologically relevant and correlated with the changes observed in the histomorphology of retinal tissues of animals exposed to spaceflight, this work provides a catalog of differentially expressed genes that can be used to explore various hypotheses related to the pathophysiology of visual alterations in spaceflight and translated to possible ocular implications for human crews in long-duration space exploration missions.

eISSN:
2332-7774
Język:
Angielski
Częstotliwość wydawania:
2 razy w roku
Dziedziny czasopisma:
Life Sciences, other, Materials Sciences, Physics