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Deciphering the molecular landscape of ionising radiation-induced eye damage with the help of genomic data mining


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Recent years have seen a significant increase in the use of radiation-emitting materials, devices, and ionising radiation technology, particularly in sectors such as industry, agriculture, and medicine (1). With the widespread adoption of interventional radiology procedures worldwide, workers involved in these operations may face substantial levels of radiation exposure due to the complexity and duration of each procedure (2). According to the United Nations Scientific Committee on the Effects of Atomic Radiation (UNSCEAR), about 4.2 billion medical procedures were performed between 2009 and 2018, including 24 million interventional radiology procedures, involving around 11 million workers between 2010 and 2014 (3).

The International Commission on Radiological Protection (ICRP) Report 103 (4) recommended a review of non-cancerous effects of ionising radiation on normal tissues at low doses, including the sensitivity of the eye to radiation (5). The development of cataracts was previously considered a common tissue reaction, with effective dose thresholds established by the ICRP in 2007 at 5 Sv for chronic exposures and 2 Sv for acute exposures (4, 6). As for the absorbed dose, based on new epidemiological evidence, the ICRP has lowered the dose threshold for the eye lens to 0.5 Gy, having taken into account the latency period and the possibility of cataracts occurring at much lower doses, particularly with chronic exposure to relatively small doses. Consequently, the annual effective dose limit for the eye lens has been lowered from 150 mSv to 20 mSv (7).

Cardiologists are estimated to receive an average cumulative dose of 6 Sv without modifications to personal protective equipment, while support staff may receive around 1.5 Sv (8, 9). Moreover, a study tracking over 35,000 radiological technicians for 20 years revealed that even a relatively low cumulative dose of up to 60 mGy throughout their working lives could induce radiation injuries and elevate the risk of cataract development (10, 11), impaired vision and, ultimately, blindness as significant ocular adverse effects associated with exposure to ionising radiation (12, 13). Radiation retinopathy, on the other hand, presents as a progressive series of vascular changes, primarily affecting the macula. The onset, progression, and severity of retinopathy are mainly determined by the total radiation dose and treatment schedule, although factors such as concurrent chemotherapy and pre-existing diabetes may exacerbate vasculopathy by intensifying the attack of oxygen-derived free radicals on vascular cells (14).

However, the mechanisms underlying radiation-induced eye damage remain insufficiently understood. In Serbia, ethical concerns and considerations for animal welfare prohibit radiation testing on animals (15). Alternative methods, such as in silico testing, which employs computational methods and data analysis, could therefore be used instead to investigate the effects of radiation exposure. Online resources compiling information on various stressors and gene expression changes potentially contributing to the pathogenesis of different diseases can facilitate data mining, analysis, and discussion of observed associations (16). Toxicogenomics data mining, focusing on the effects of chemicals on genes and gene expression patterns (17), can also be applied to different stressors, including radiation. By utilising the existing databases like the Comparative Toxicogenomics Database (CTD), genes affected by radiation exposure can be identified to gain insights into activated or disrupted molecular responses and pathways (18,19,20).

Taking all of this into consideration, the primary aim of our study was to explore the mechanisms of radiation-induced eye injury using gene databases, software, and tools. Additionally, we aimed to demonstrate the utility of these resources in effectively identifying the effects and causes of damage resulting from radiation exposure.

MATERIALS AND METHODS

Data presented in this article were obtained in July 2023. Figure 1 shows all the steps of the applied bioinformatics analysis explained in detail later in the text.

Figure 1

Detailed step-by-step diagram showing different phases of gene database analysis applied to investigate the relationship between the ionising radiation and eye injury

Comparative Toxicogenomics Database

The Comparative Toxicogenomics Database (CTD; https://ctdbase.org), more and more often referred to as the “Golden Set Database”, is a publicly available database that evaluates and summarises the data on associations between chemicals, genes, and diseases, and also provides information about the gene ontology (biological processes, molecular functions), molecular pathways, and phenotype (21, 22). It is updated regularly to ensure that all the information it contains is reliable, consistent, and easily accessible. In our study, we relied on CTD to assess cellular response to ionising radiation and identify a set of genes linked to the eye injury based on the listed diseases and interacting genes. Using the key word “radiation” to search through gene ontology (GO) annotations, we obtained 31 matches. Among these, “cellular response to radiation” was the broadest term encompassing all radiation types in the CTD database. From the available options we selected “response to ionising radiation”, as this gene ontology term covers all types of ionising radiation, including cellular response to gamma radiation and X-rays. Then we filtered diseases of the eye associated with “response to ionising radiation” (“eye diseases”) and identified six genes associated with the listed eye diseases for further analysis. Our decision to consider all listed eye diseases was driven by a wish to gain a deeper and more comprehensive insight into the effects of ionising radiation on eye health across a range of clinical conditions.

GeneMANIA Cytoscape plug in

The GeneMANIA Cytoscape plug-in (https://apps.cytoscape.org/apps/genemania) generates a list of the genes most similar to the ones entered into the query and explores the links between them (23). We used this plug-in to explore gene interactions, but also to expand the original set with 20 related genes [test organism: H. sapiens (human)]. The obtained gene set for further analysis now consisted of 26 genes. There are several possible interactions identified by the GeneMANIA server: protein-protein interactions, co-expressions (where gene expression levels show similarity across conditions in a gene expression study), gene interactions (functional associations observed when one gene disruption affects the other gene), shared protein domains, co-localisation (genes expressed in the same tissue or proteins found in the same location), pathway sharing (gene products participate in the same reaction within a pathway), and finally, predicted functional relationships, most often protein interactions, derived from known functional relationships from another organism based on orthology (two proteins are predicted to interact if their orthologues are known to interact in that organism) (24).

ToppGene Suite portal

ToppGene Suite (https://toppgene.cchmc.org) is an online tool that uses functional descriptors and a protein association network to prioritise candidate genes. The ToppGene ToppFun feature (https://toppgene.cchmc.org/enrichment.jsp) allows exploration of ontologies (gene ontology, pathway), phenotype, pharmacome, miRNA, and other parameters (25). In this study, the ToppGeneSuite portal (ToppFun function) was used to identify probable molecular mechanisms involved in radiation-associated eye injury based on the above mentioned set of 26 genes to better understand their role in the context of a larger biological system. Biological processes, molecular functions, cellular components, molecular pathways, and miRNA were selected as the main functions of interest [p-value: 0.05, corrected for false discovery rate (FDR)]. The obtained miRNA were ranked by the mirSVR, a new machine learning method for ranking microRNA target sites by a down-regulation score (26).

Metascape

Metascape (https://metascape.org) is a web-based portal and a comprehensive resource for gene list annotation and analysis (27) which uses the Molecular Complex Detection (MCODE) algorithm to locate dense gene clusters in a network based on their topology (27, 28). We used this algorithm to identify highly interconnected subnetworks of the identified genes and related biological processes or diseases of interest. An MCODE network contains a subset of proteins that form physical interactions with at least one other member in the list. If the network contains between three and 500 proteins, the algorithm is applied to identify densely connected network components (27).

To construct the figures, the obtained network was downloaded from Metascape and adjusted in the Cytoscape software [i.e. extracted from the pre-constructed GeneMANIA network by the Cytoscape MCODE plug-in (https://apps.cytoscape.org/apps/mcode)].

RESULTS

Table 1 shows 13 eye diseases and six genes (ATM, CRYAB, SIRT1, TGFB1, TREX1, and YAP1) associated with ionising radiation. Some diseases are repeated because of their association with different phenotypes (e.g., cataract as cellular response to gamma radiation and X-ray). Having in mind that gene inference network may differ depending on the gene ontology process listed in the phenotype column, all of the repeats have been listed together with the corresponding genes.

Diseases and interacting genes associated with eye injury caused by radiation (CTD; http://ctdbase.org/)

Phenotype Disease Gene
Cellular response to gamma radiation Cataract ATM | CRYAB
Cellular response to ionising radiation Diabetic retinopathy SIRT1
Cellular response to ionising radiation Retinal diseases SIRT1
Cellular response to gamma radiation Coloboma, ocular, with or without hearing impairment, cleft lip/palate, and/or impaired intellectual development YAP1
Cellular response to gamma radiation Cataract 16, multiple types CRYAB
Regulation of cellular response to gamma radiation Cataract ATM
Cellular response to gamma radiation Myopathy, myofibrillar, fatal infantile hypertonic, alpha-B crystallin-related CRYAB
Cellular response to X-ray Cataract ATM
Cellular response to gamma radiation Alpha-B crystallinopathy CRYAB
Cellular response to ionising radiation Dry eye syndromes TGFB1
Cellular response to ionising radiation Cataract ATM
Cellular response to gamma radiation Vasculopathy, retinal, with cerebral leukodystrophy TREX1
Cellular response to ionising radiation Graves disease TGFB1

Table 2 shows the expanded gene set, including the six genes from the original query and 20 related genes. The interactions for all 26 genes were physical (Figure 2), indicating that they might be involved in the same biological processes or pathways and that their products may interact to carry out specific functions.

Figure 2

GeneMANIA network of genes associated with eye injury caused by ionising radiation (black) together with the 20 related genes (grey). Interaction type: 100 % physical interactions (GeneMANIA; https://apps.cytoscape.org/apps/genemania)

Gene set linked to the eye injury caused by ionising radiation based on CTD and GeneMANIA analysis (http://ctdbase.org/; https://apps.cytoscape.org/apps/genemania)

Gene symbol Gene name Gene ID
ATM ATM serine/threonine kinase 472
CRYAB Crystallin alpha B 1410
SIRT1 Sirtuin 1 23411
TGFB1 Transforming growth factor beta 1 7040
TREX1 Three prime repair exonuclease 1 11277
YAP1 Yes1 associated transcriptional regulator 10413
TEAD2 TEA domain transcription factor 2 8463
RRP8 Ribosomal RNA processing 8 23378
CS Citrate synthase 1431
TIPARP TCDD inducible poly(ADP-ribose) polymerase 25976
CRYGC Crystallin gamma C 1420
HIC1 HIC ZBTB transcriptional repressor 1 3090
EEF1E1 Eukaryotic translation elongation factor 1 epsilon 1 9521
LTBP4 Latent transforming growth factor beta binding protein 4 8425
NBN Nibrin 4683
MSH2 MutS homolog 2 4436
WBP1 WW domain binding protein 1 23559
AMOTL1 Angiomotin like 1 154810
BMP3 Bone morphogenetic protein 3 651
LBH LBH regulator of WNT signaling pathway 81606
CRYGS Crystallin gamma S 1427
IFT20 Intraflagellar transport 20 90410
ITGB8 Integrin subunit beta 8 3696
FCN1 Ficolin 1 2219
CRYBB2 Crystallin beta B2 1415
ATR ATR serine/threonine kinase 545

Table 3 shows the top 15 gene ontology (molecular functions, biological processes, cellular components) and molecular pathways listed by statistical significance.

Top 15 gene ontology (molecular functions, biological processes) and molecular pathways associated with eye injury caused by ionising radiation (https://toppgene.cchmc.org)

ID Name p-value Input genes Annotated genes
Molecular functions GO:0005212 structural constituent of eye lens 2.806E-8 4 25
GO:0032405 MutLalpha complex binding 6.840E-8 3 7
GO:0032404 mismatch repair complex binding 3.214E-7 3 11
GO:0032407 MutSalpha complex binding 3.412E-5 2 7
GO:0044877 protein-containing complex binding 2.123E-4 9 1726
GO:0003950 NAD+ ADP-ribosyltransferase activity 6.938E-4 2 30
GO:0047485 protein N-terminus binding 7.323E-4 3 137
GO:0050699 WW domain binding 8.919E-4 2 34
GO:0004108 citrate (Si)-synthase activity 1.304E-3 1 1
GO:0160011 NAD-dependent protein decrotonylase activity 1.304E-3 1 1
GO:0160012 NAD-dependent histone decrotonylase activity 1.304E-3 1 1
GO:0036440 citrate synthase activity 1.304E-3 1 1
GO:0016763 pentosyltransferase activity 2.491E-3 2 57
GO:0106231 protein-propionyllysine depropionylase activity 2.603E-3 1 2
GO:0032129 histone deacetylase activity (H3-K9 specific) 2.603E-3 1 2
Biological processes GO:0071479 cellular response to ionising radiation 1.415E-11 7 90
GO:0042770 signal transduction in response to DNA damage 8.815E-11 8 200
GO:0010212 response to ionising radiation 9.545E-11 8 202
GO:0072331 signal transduction by p53 class mediator 9.545E-11 8 202
GO:0071480 cellular response to gamma radiation 5.615E-10 5 34
GO:0030330 DNA damage response, signal transduction by p53 class mediator 7.424E-10 6 83
GO:0043516 regulation of DNA damage response, signal transduction by p53 class mediator 2.173E-9 5 44
GO:0043517 positive regulation of DNA damage response, signal transduction by p53 class mediator 4.584E-9 4 17
GO:0097190 apoptotic signaling pathway 7.241E-9 10 715
GO:0071478 cellular response to radiation 8.951E-9 7 225
GO:0010332 response to gamma radiation 4.104E-8 5 78
GO:0009314 response to radiation 5.117E-8 9 646
GO:0045786 negative regulation of cell cycle 8.888E-8 8 483
GO:1901798 positive regulation of signal transduction by p53 class mediator 9.931E-8 4 35
GO:0097193 intrinsic apoptotic signalling pathway 2.361E-7 7 363
Cellular components GO:0061773 eNoSc complex 4.112E-6 2 3
GO:0140552 TEAD-YAP complex 4.112E-6 2 3
GO:0033553 rDNA heterochromatin 8.218E-6 2 4
GO:0000781 chromosome, telomeric region 4.993E-5 4 173
GO:0005677 chromatin silencing complex 1.237E-4 2 14
GO:0140513 nuclear protein-containing complex 1.424E-4 8 1386
GO:0016605 PML body 4.055E-4 3 122
GO:0098687 chromosomal region 1.439E-3 4 419
GO:0070310 ATR-ATRIP complex 2.389E-3 1 2
GO:0032301 MutSalpha complex 2.389E-3 1 2
GO:0034686 integrin alphav-beta8 complex 2.389E-3 1 2
GO:0032302 MutSbeta complex 2.389E-3 1 2
GO:0099126 transforming growth factor beta complex 3.582E-3 1 3
GO:1902636 kinociliary basal body 3.582E-3 1 3
GO:0005657 replication fork 3.703E-3 2 76
Molecular pathways M9703 role of BRCA1, BRCA2 and ATR in Cancer Susceptibility 3.010E-8 4 22
M39490 DNA IR-damage and cellular response via ATR 1.245E-7 5 81
M39598 DNA IR-double strand breaks and cellular response via ATM 1.358E-6 4 55
M648 cell Cycle: G1/S Check Point 1.012E-5 3 28
137959 BARD1 signalling events 1.128E-5 3 29
M258 BARD1 signalling events 1.128E-5 3 29
1270252 molecules associated with elastic fibres 1.384E-5 3 31
1309108 HDR through Single Strand Annealing (SSA) 2.580E-5 3 38
1309104 presynaptic phase of homologous DNA pairing and strand exchange 3.016E-5 3 40
M40049 DNA repair pathways, full network 3.166E-5 4 121
1309097 sensing of DNA Double Strand Breaks 3.389E-5 2 6
1270251 elastic fibre formation 3.497E-5 3 42
1309103 homologous DNA Pairing and Strand Exchange 3.756E-5 3 43
M39628 integrated cancer pathway 4.310E-5 3 45
M39518 ATM signalling in development and disease 4.606E-5 3 46

Abbreviations: ATM – ataxia telangiectasia Mutated; ATR – ataxia telangiectasia and Rad3-related; ATRIP – ATR-interacting protein Complex; BARD1 – BRCA1-associated RING domain 1; BRCA1 – breast cancer type 1 susceptibility protein; BRCA2 – breast cancer type 2 susceptibility protein; DNA – deoxyribonucleic acid; HDR – homology directed repair; IR – ionising radiation; MutSalpha – mismatch repair protein MutS alpha; MutSbeta – mismatch repair protein MutS beta; NAD – nicotinamide adenine dinucleotide; PML – promyelocytic leukemia protein; SSA – single-strand annealing; TEAD-YAP – TEA domain transcription factor-Yes-associated protein; eNoSC – embryonic nuclear silencing complex; p53 – tumour protein 53

Figure 3A shows all input genes (n=26) forming a subnetwork associated with eye injury caused by ionising radiation, while Figure 3B shows highly interconnected genes within this subnetwork. The most important gene ontologies it identifies are DNA damage checkpoint signalling, DNA integrity checkpoint signalling, and signal transduction in response to DNA damage, which are all part of cellular response to ionising/gamma radiation (Table 4).

Figure 3

Subnetwork of interconnected genes associated with eye injury caused by ionising radiation (yellow) obtained with MCODE algorithm (https://apps.cytoscape.org/apps/mcode): (A) all input genes (n=26); (B) highly interconnected genes

Gene ontology terms linked to the obtained MCODE network [Metascape software (https://metascape.org)]

GO Description Log10(P)
GO:0010212 response to ionising radiation −10.5
GO:0071479 cellular response to ionising radiation −10.4
GO:0071480 cellular response to gamma radiation −10.4
GO:0000077 DNA damage checkpoint signalling −12.3
GO:0031570 DNA integrity checkpoint signalling −12.2
GO:0042770 signal transduction in response to DNA damage −11.7

Table 5 shows that the identified miRNAs, namely hsa-miR-183 and hsa-miR-589, play a significant role in eye injury caused by ionising radiation, while hsa-miR-892b, hsa-miR-708, hsa-miR-3118, hsa-miR-3166, and hsa-miR-589 play a weaker role.

miRNAs linked to eye injury caused by ionising radiation (https://toppgene.cchmc.org)

ID Name pValue Input genes Annotated genes
hsa-miR-892b:mirSVR lowEffct hsa-miR-892b:mirSVR non-conserved low effect-0.1-0.5 2.811E-7 8 1596
hsa-miR-183:mirSVR highEffct hsa-miR-183:mirSVR conserved high effect-0.5 1.597E-6 6 853
hsa-miR-708:mirSVR lowEffct hsa-miR-708:mirSVR non-conserved low effect-0.1-0.5 1.629E-6 7 1376
hsa-miR-3688-3p 2.792E-6 6 940
hsa-miR-3118:mirSVR lowEffct hsa-miR-3118:mirSVR non-conserved low effect-0.1-0.5 4.640E-6 7 1613
hsa-miR-19a-3p 6.859E-6 6 1100
hsa-miR-19b-3p 7.002E-6 6 1104
hsa-miR-590-5p 1.105E-5 4 317
hsa-miR-3166:mirSVR lowEffct hsa-miR-3166:mirSVR non-conserved low effect-0.1-0.5 1.146E-5 7 1853
hsa-miR-589:mirSVR highEffct hsa-miR-589:mirSVR non-conserved high effect-0.5 1.182E-5 7 1862
hsa-miR-548ap-3p 1.281E-5 6 1228
hsa-miR-548t-3p 1.281E-5 6 1228
hsa-miR-548aa 1.281E-5 6 1228
hsa-miR-21-5p 1.455E-5 4 340
hsa-miR-19b:PITA hsa-miR-19b:PITA TOP 1.615E-5 5 741

Non-conserved miRNAs: miRNAs specific to particular species or closely related groups, contrasting with widely preserved conserved ones. Conserved miRNA: miRNAs highly preserved across diverse species, exhibiting similar sequences and functions, crucial for gene regulation

DISCUSSION
Extracted genes

The CTD database listed several diseases/conditions associated with eye injury caused by ionising radiation, including cataract myopathy, alpha-b crystallinopathy, retinal vasculopathy, retinal diseases, dry eye syndromes, and ocular coloboma. These diseases/conditions are linked to six genes, namely ATM, CRYAB, SIRT1, TGFB1, TREX1, and YAP1.

The ATM gene is part of the cellular response to DNA damage and plays a critical role in response pathway. ATM protein kinase regulates many signalling pathways by phosphorylating and controlling its substrates, a process whose failure results in genome-wide instability (29).

The CRYAB gene encodes a protein called alpha-crystallin B. CRYAB binds to crystallins and prevents them from aggregating, while alpha-crystallin B acts as an intracellular chaperone that counteracts oxidative stress-induced damage and apoptosis (30). Crystallins are abundant in the lens and to a smaller degree in other cells, including the retina. They are involved in cytoplasmic organisation and complex molecular mechanisms that regulate cell architecture and function (31). For the lens to be transparent, crystallins must remain densely packed (32), or else mutations increase the risk of developing cataracts (33).

The SIRT1 gene encodes a protein called Sirtuin 1, which is an epigenetic regulator involved in DNA repair (34) but also in a variety of biological functions such as metabolic regulation, cell maintenance, optimal ageing, and tumorigenesis. It is also active in apoptosis and cell proliferation in reaction to various stressors and metabolic imbalances (35, 36).

The TGFB1 gene encodes a protein called transforming growth factor beta 1 (TGF-β1), involved in the regulation of cell growth and often associated with anti-proliferative effects (37).

The TREX1 gene encodes a protein called three prime repair exonuclease 1, whose primary function is to degrade cytoplasmic single-stranded DNA or mispaired 3′ termini of DNA duplexes (38). Mutations in this gene have been associated with the development of age-related cataracts (39).

Finally, the YAP1 gene encodes a protein called yes-associated protein 1, important for the regulation of cell proliferation (40).

Molecular functions, biological processes and molecular pathways

As expected, some of the identified molecular functions were related to DNA repair mechanisms (MutLalpha complex binding and mismatch repair complex binding), while others were related to protein binding and enzymatic activities (i.e., protein-containing complex binding). Other functions could be characterised as metabolic processes (citrate synthase activity and citrate (Si)-synthase activity) or post-translational modifications of proteins (protein-propionyllysine depropionylase activity).

On the other hand, the list of biological processes (including those obtained with the MCODE algorithm) was focused on DNA damage and more specifically on the role of the p53 signalling pathway in regulating DNA repair. Ionising radiation can penetrate tissues, disrupt the DNA helix, and cause breaks in one or both strands (41). The resulting DNA damage triggers a cascade of cellular responses, including DNA repair mechanisms and cell cycle checkpoints. If the damage is severe or remains unrepaired, it can lead to genome instability, mutations, cell death, or other adverse outcomes (42). In the context of eye injury caused by ionising radiation, such DNA damage can affect the integrity and function of ocular cells, and if a sufficient number of cells is affected, it can lead to the functional impairment of the lens. As the DNA damage accumulates in the secondary fibre cells for several months after the initial incident, new structures build up that scatter light (43). Wolf et al. (44) reported that 11 Gy of soft x-irradiation, specifically targeting the head region of mice, induced the development of cortical cataracts within the first month, which progressed to an advanced stage 5–11 months after exposure. Although the initial DNA strand breaks were repaired within 30 minutes, DNA damage was persistent over the first 72 h after irradiation, as indicated by the presence of the DNA adduct 8-hydroxyguanosine (8-OHG) and the DNA repair protein X-ray repair cross-complementing protein 1 (XRCC1). This persistence suggests that DNA repair mechanisms may be overwhelmed by radiation-induced DNA lesions and unable to prevent the development of advanced cortical cataracts.

When DNA is damaged, a cascade of signalling events is triggered, which results in the activation of several proteins involved in cell cycle arrest, DNA repair, and apoptosis (45). Lower radiation doses result in lower damage, which allows better repair and reduces the number of cells stuck in the G1/S phase (46). Namely, DNA damage triggers the checkpoint signalling system to prevent the cell from continuing its cycle until the damage has been repaired. Part of this process is the induction of the ATM, ATR, and Chk1/2 proteins, which start cell cycle arrest and DNA repair (47). DNA double strand breaks trigger the ATM/Chk2 pathway, whereas DNA single strand breaks or complex lesions generally start the ATR/Chk1 pathway (47). Markiewicz et al. (48) reported that double strand breaks got repaired more slowly in mouse lens epithelial cells after exposure to 20 than 100 mGy. As a consequence of changes in cell proliferation and density the lens aspect ratio in treated mice changed 10 months after irradiation (48), which suggests impaired DNA repair and checkpoint activation.

Cellular components associated with eye injury (Table 3) consist of regulator complexes such as eNoSC and chromatin silencing. The eNoSC (energy-dependent nucleolar silencing complex), which includes the SIRT1 gene, silences rDNA and shields mammalian cells from energy-linked apoptosis (49). Others, such as the ATRATRIP complex, are key players in DNA damage response, triggering repair mechanisms upon radiation exposure (47). Additionally, components like PML bodies and the MutS complexes are involved in DNA repair processes crucial for maintaining genomic integrity (50, 51), while growth factor signalling pathways may improve tissue repair mechanisms post-exposure (53).

As for molecular pathways listed in Table 3, some include cancer susceptibility and some DNA damage and cellular response or double strand breaks and cellular response. After exposing retinal photoreceptor cells to ionising radiation doses of 2, 4, 6, 8, 10, and 20 Gy, Yao et al. (52) found increased phosphorylation levels of Chk1 and p53 downstream the ATM pathway (52), which suggests that these signalling events are part of the cellular response to DNA damage and are necessary for the cell to initiate repair mechanisms or apoptosis.

The BARD1 signalling pathway involves the BARD1 protein in checkpoint activities and DNA damage response and repair (54), while molecules associated with elastic fibres are involved in the formation and maintenance of connective tissue.

Homology-directed repair through single-strand annealing (SSA) and homologous DNA pairing and strand exchange are involved in the mechanisms of DNA repair (55, 56), while the presynaptic stage of homologous DNA pairing and strand exchange pathway is a specific stage in the process of homologous recombination (57).

miRNA

The list of miRNAs obtained on the basis of genes involved in eye injury caused by radiation could provide valuable insights into the molecular mechanisms underlying this condition. miRNAs are small non-coding RNAs that play important roles in post-transcriptional regulation of gene expression (58) and pathways, and their dysregulation has been implicated in various diseases, including cancer and neurodegenerative disorders (59). Our study has identified several miRNAs with a high (hsa-miR-183 and hsamiR-589) or low effect (hsa-miR-892b, hsa-miR-708, hsa-miR-3118, and hsa-miR-3166) on the target genes. The (miR)183 cluster microRNAs, i.e., miRs-183, -96, and -182, have closely synchronised expression during development and are necessary for sensory organ maturation. They are particularly abundant in retinal photoreceptors and are light-responsive (60).

Limitations

Our study demonstrates the potential utility of the proposed toxicogenomics data mining in exploring molecular mechanisms of ionising radiation. However, data mining relies on the reliability and completeness of interactions described in online sources such as the CTD database. Furthermore, the obtained data are based on statistical associations between stressor-gene-disease relationships and do not take into account important factors like the dose-response relationship, exposure route, exposure duration, and individual sensitivity.

CONCLUSION

This study has identified ATM, CRYAB, SIRT1, TGFB1, TREX1, and YAP1 as pivotal in radiation-induced eye injury and potential biomarkers for this condition. Their molecular functions encompass DNA repair mechanisms, enzymatic activities, protein binding, metabolic processes, and post-translational modifications of proteins. The pathways involved in DNA damage response and repair include p53 signalling, cell cycle regulation, cancer susceptibility, and developmental pathways. We have also identified several miRNAs, hsa-miR-183 and hsa-miR-589, in particular, which may have an important role in regulating genes involved in DNA repair and ionising radiation-induced eye injury. Our findings contribute to the understanding of the molecular mechanisms underlying the harmful effects of ionising radiation on the eye and provide potential targets of future research.

eISSN:
1848-6312
Języki:
Angielski, Slovenian
Częstotliwość wydawania:
4 razy w roku
Dziedziny czasopisma:
Medicine, Basic Medical Science, other