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Journal of Radiation Research logoLink to Journal of Radiation Research
. 2014 May 13;55(5):831–846. doi: 10.1093/jrr/rru036

Emerging issues in radiogenic cataracts and cardiovascular disease

Nobuyuki Hamada 1,*, Yuki Fujimichi 1, Toshiyasu Iwasaki 1, Noriko Fujii 2, Masato Furuhashi 3, Eri Kubo 4, Tohru Minamino 5, Takaharu Nomura 1, Hitoshi Sato 6
PMCID: PMC4202294  PMID: 24824673

Abstract

In 2011, the International Commission on Radiological Protection issued a statement on tissue reactions (formerly termed non-stochastic or deterministic effects) to recommend lowering the threshold for cataracts and the occupational equivalent dose limit for the crystalline lens of the eye. Furthermore, this statement was the first to list circulatory disease (cardiovascular and cerebrovascular disease) as a health hazard of radiation exposure and to assign its threshold for the heart and brain. These changes have stimulated various discussions and may have impacts on some radiation workers, such as those in the medical sector. This paper considers emerging issues associated with cataracts and cardiovascular disease. For cataracts, topics dealt with herein include (i) the progressive nature, stochastic nature, target cells and trigger events of lens opacification, (ii) roles of lens protein denaturation, oxidative stress, calcium ions, tumor suppressors and DNA repair factors in cataractogenesis, (iii) dose rate effect, radiation weighting factor, and classification systems for cataracts, and (iv) estimation of the lens dose in clinical settings. Topics for cardiovascular disease include experimental animal models, relevant surrogate markers, latency period, target tissues, and roles of inflammation and cellular senescence. Future research needs are also discussed.

Keywords: cataract, cardiovascular disease, threshold, radiation protection

INTRODUCTION

Over the past three plus decades, the International Commission on Radiological Protection (ICRP) has classified radiation effects into tissue reactions (previously called non-stochastic or deterministic effects) and stochastic effects [1]. By definition, tissue reactions result from injury to populations of cells, and are characterized by a threshold below which no effect would occur. Typical examples are cataracts and non-cancer skin changes, the severity of which increases with dose [2]. In contrast, injury to a single cell or small number of cells is supposed to cause stochastic effects, and its probability but not severity is regarded as a linear-non-threshold (LNT) function of dose. Stochastic effects comprise cancer and heritable effects due to somatic cell mutations and germ cell mutations, respectively [2]. In the context of radiation protection (RP), equivalent dose limits aim to prevent tissue reactions, whereas effective dose limits aim to reduce the risks of stochastic effects to the extent reasonably achievable [2].

Human radiation cataracts appeared in the literature as far back as 1903 [3], but atomic-bomb (A-bomb) and cyclotron cataracts observed in the late 1940s created a surge of interest in RP of the ocular lens [4, 5]. The ICRP listed cataracts as a radiation health hazard in 1950 [6] and recommended the first dose limit for the lens in 1954 [7]. The belief that cataracts result from a tissue reaction with a threshold dates back to 1969 [8], and the occupational dose limit recommended for the past few decades was calculated as a chronic dose threshold for vision-impairing cataract (VIC) divided by a working lifetime of 50 years. The dose limit for the lens has undergone revisions since 1954. The latest revision took place in 2011 when the ICRP Seoul Statement on tissue reactions lowered the chronic threshold for VIC from >8 Gy to 0.5 Gy and the occupational equivalent dose limit for the lens from 150 mSv/year to 20 mSv/year (100 mSv in defined 5 years with no single year exceeding 50 mSv) [9], leading to a resurgence of interest in RP of the lens. Besides, the Seoul Statement [9] was the first to recommend the threshold for cardiovascular disease (CVD) and cerebrovascular disease of 0.5 Gy to the heart and brain, respectively, although no dose limits have been recommended for such circulatory disease. ICRP Publication 118 (ICRP-118) [9] (report on tissue reactions), issued in 2012 as the scientific basis of the Seoul Statement, was the first set of guidelines to list circulatory disease as a radiation health hazard. These changes have raised various potential issues and may affect the medical sector, especially those who provide and receive interventional procedures (i.e. interventionists and patients) that deliver significant dose to the lens and heart [10]. These new thresholds hence request more attention to optimization and more efforts to monitor or estimate dose to the individuals concerned, but the dose evaluation system has yet to be established. In addition, the boundary between tissue reactions and stochastic effects is becoming fuzzy [11]. ICRP-118 deduced an acute threshold of 0.5 Gy for VIC from two papers on A-bomb data [12, 13]. Likewise, the threshold of 0.5 Gy for circulatory disease was supported by an excess relative risk (ERR)/Gy of ∼0.1 that assumed an LNT dose response, where the A-bomb data [14] played central roles. These three papers indicated no threshold [1214]. Then, ICRP-118 assigned the same threshold of 0.5 Gy for both cataract and circulatory disease irrespective of the rate of dose delivery (i.e. acute, fractionated/protracted and chronic exposures; n.b. the lack of dose rate effect deductively reflects stochastic events). Overall, ICRP-118 judged cataracts and circulatory disease as tissue reactions, but also considered that these effects may be of a stochastic nature with no threshold. These thresholds have been deduced exclusively from epidemiological data, but their validity should be verified biologically; as ICRP-60 [15] mentioned, a certain effect cannot justifiably be classified as a tissue reaction or a stochastic effect without knowledge of the mechanisms leading to the observable defect. In these examples, the mechanism of cataractogenesis remains incompletely understood, and much less is known about circulatory disease, highlighting the necessity for discussion on future research strategies to decipher the mechanistic underpinnings.

This paper summarizes our unique interdisciplinary discussion among researchers from the research fields of radiation, cataract and CVD. Current knowledge and underlying issues are overviewed, followed by discussion on perspectives for future studies.

RADIOGENIC CATARACTS

Key papers used to deduce the new threshold

ICRP-118 (an update of ICRP-41 [16]) aimed to review and evaluate the literature on tissue reactions from RP viewpoints. As regards cataracts, nearly 70 papers of pertinent epidemiological or other human studies were cited, three papers of which were used to judge the nominal threshold. The acute threshold of 0.5 Gy was deduced from two papers on A-bomb cataracts assessed at 55–57 years after exposure: the first paper [12] provided thresholds of 0.6 Gy for cortical cataracts and 0.7 Gy for posterior subcapsular (PSC) opacities (structures of the lens are schematized in Supplementary Fig. 1); and the second paper [13] provided a threshold of 0.1 Gy for cataract surgery prevalence. It should be noted, however, that its lower 90% or 95% confidence interval (CI) included zero dose. The threshold for protracted/fractionated exposures was considered not to be greater than the acute threshold. This judgment was made using the third paper [17] on cataracts in Chernobyl liquidators that were assessed at 12–14 years after exposure and provided the threshold for cortical or PSC cataracts of 0.34–0.5 Gy with the lower 95% CI of >0.1 Gy. For chronic exposures spread over several to many years, it was considered difficult to judge thresholds due to epidemiological uncertainties, and the same incidence of VIC with >20 years follow-up was assumed regardless of the acute or chronic nature of the exposure over a working life. Consequently, for practical purposes, the threshold of 0.5 Gy was judged as the dose to which 1% of individuals exposed develop VIC >20 years after exposure, independently of dose rates.

Fig. 1.

Fig. 1.

Changes in estimates of the minimum cataractogenic dose for a 50-year exposure estimated by a Strandqvist plot. The minimum cataractogenic dose to produce human cataracts in each of three exposure conditions (a single exposure, exposure over 3 weeks to 3 months, and exposure over 3 months to 9 years) was taken from Merriam and Focht [18], and plotted on a log–log scale as a function of exposure time (i.e. a Strandqvist plot [26]). Equation of the fitted line, its correlation coefficient square (r2), and the estimated minimum cataractogenic dose in röntogen (r) for a 50-year exposure (D50y) estimated from the fitting equation are shown in each panel (n.b. 1 r roughly corresponds to 1 cGy). The time of a single exposure was treated as 4 h according to Merriam et al. [27], and 50 years were treated as 18 262.5 days. (A) The minimum dose to produce a cataract in each exposure condition, irrespective of whether the cataract is stationary or progressive. (B) The minimum dose to produce a stationary cataract in each exposure condition. (C) The minimum dose to produce a progressive cataract in each exposure condition. Note that Merriam and Focht [18] used the term ‘cataract’ to mean all clinically recognizable opacities (i.e. both minor opacities and VICs), ‘stationary cataract’ to mean the opacity that remains stationary at any stage or progresses slowly over a considerable period and then remains stationary (i.e. a cataract that does not progress to a VIC), and ‘progressive cataract’ to mean the opacity that continues to progress to a VIC and becomes non-specific.

Does a minor opacity progress into VIC?

Since 1984, and before ICRP-118, the ICRP had recommended four different thresholds (i.e. for detectable minor opacity and VIC, each produced by a single brief exposure or highly fractionated/protracted exposures). Conversely, ICRP-118 recommended a single threshold value, assuming that minor opacities progress to VICs. Historically, ICRP-14 [8] described that minor opacities that do not interfere with vision often do not progress in severity and may regress or disappear spontaneously with time. ICRP-41 (an update of ICRP-14 in the tissue reaction context) mentioned that (i) lens opacities develop within months, progress rapidly and eventually cloud the lens completely at high dose; (ii) opacities take years to develop, remain microscopic in size and cause no significant visual impairment; and (iii) whether the lesion remains stationary or progressive depends on dose. These descriptions may stem from the observations of Merriam and Focht [18] that the higher the dose, the shorter the time of appearance of the lens changes and the higher the incidence of progressive opacities, and that fractionation delays the onset of cataracts. Moreover, early A-bomb data showed little progression in lenticular lesions: for instance, 36% were unchanged and 19% regressed in 1951 (6 years after exposure) [19, 20], and ∼60% were unchanged and ∼30% regressed in 1966 (21 years after exposure) [21]. Collectively, these findings suggest that the latency period shortens with increasing dose, but that minor opacities may not necessarily progress to VICs.

Are there any dose rate effects?

ICRP-118 assumed the lack of a dose rate effect for cataracts without epidemiological evidence. For cancers, epidemiological data for residents in high natural background radiation areas [22, 23] can be compared with those of acutely exposed individuals (e.g. A-bomb survivors). Such human studies are essential for cataracts, but it is tempting to discuss whether there is a dose rate effect. In this regard, an attractive hypothesis has been proposed whereby if radiation damage does not accumulate (because of elimination of damaged tissue stem or progenitor cells through tissue turnover or cell death), the irradiated tissue does not undergo radiation carcinogenesis [24]. Namely, dose rate and tissue turnover rate are postulated to determine the dose rate effect, where irradiation may stimulate tissue stem cell turnover depending on the tissue type [25]. In this context, the lens represents a unique tissue derived from a single cell type. Throughout life, the lens continues to grow and all cells stay inside the lens. Tissue turnover cannot thus be expected in the lens, and hence the dose rate effect may not exist for cataractogenesis. Taken together, to be stationary or not to be is the question. Reanalysis of the afore-cited human data of Merriam and Focht [18] reveals that there is little dose rate effect for progressive cataracts, unlike stationary cataracts (Fig. 1). The lack of a dose rate effect indicates accumulation of radiation damage within the tissue, and production of initial radiation damage to DNA is a stochastic event, implying that generation of a progressive cataract is a stochastic process.

Is cataractogenesis of a stochastic nature?

Besides the assumed lack of a dose rate effect, the lower CI of the threshold doses in the two papers used to deduce the acute threshold included 0 Gy, indicating the lack of a threshold. The following experimental findings support the hypothetical stochastic nature of cataractogenesis. First, the number of lens opacities is an LNT function of dose at 0–3 Gy of X-rays and 0–0.38 Gy of neutrons [28]. Second, mice heterozygous or nullizygous for DNA repair genes ATM, RAD9 and/or BRCA1 develop radiation cataracts earlier than wild-type counterparts [2931]. ATM-disrupted mice of Elson et al. [32] used as the 129SvEv strain crossed with the Black Swiss strain manifested an accelerated phenotype of spontaneous and radiation cataractogenesis [29], but this was not the case for the ATM-disrupted mice of Barlow et al. [33] used as the C3H strain [34] (data not shown), suggestive of strain sensitivity or individual susceptibility [35]. ATM gene polymorphism also appears to affect cataract surgery risk among A-bomb survivors [36]. Intriguingly, whilst the human lens does not develop tumors, cataractogenesis possibly involves diverse tumor suppressor or DNA repair genes (e.g. p53, p16Ink4a, p19Arf, p27Kip1, NBS1, XRCC1, HSF4 and WRN) [3741] in addition to ATM, RAD9 and BRCA1. Notwithstanding, ICRP-118 concluded that cataracts are a tissue reaction with a threshold, albeit small, because there is no direct evidence that a single damaged progenitor lens epithelial cell (LEC) produces a cataract. In this regard, LECs in the germinative zone (GZ) around the equatorial region have been considered to be the relevant cells at risk, because cataracts are produced after localized irradiation of the equatorial region [42] but not after irradiation when the GZ is shielded, nor after irradiation with LEC divisions inhibited [4345]. Moreover, recent studies highlight that flow-cytometrically identified putative murine stem cells localize around the GZ [46], and that a lens progenitor-like cell differentiated from human embryonic stem cells forms a lentoid body [47]. It would hence be worth testing whether an irradiated, single lens stem cell generates a cloudy lentoid body, though the difference in physical conditions between in vivo exposure and in vitro exposure needs to be recognized.

Implications of findings obtained from analysis of the effects of oxidative stress and ultraviolet exposure

ICRP-14 stated that there is no evidence that lens opacities depend quantitatively on cell killing, but ICRP-58 [48] considered that cell killing is the sole mechanism behind all deterministic effects. ICRP-92 [49] was the first to propose that whereas abnormal differentiation underlies radiation cataracts, cell killing underlies all other deterministic effects. It may be tempting to speculate on the mechanisms of cataractogenesis from the findings obtained in pertinent fields of research. The following two subsections overview the current knowledge on the response of the lens and crystallin proteins to oxidative stress, ultraviolet (UV) light and ionizing radiation.

Role of antioxidants in lens opacification

Oxidative stress-induced cataracts may result either from diminished antioxidants due to aging or from increased reactive oxygen species (ROS) following exposure to various external insults such as ionizing radiation, UV light and chemicals [5052]. UV exposure generates ROS in the lens [53], which in turn causes degradation, cross-linking and aggregation of lens proteins, and also DNA damage. UV-modulated ROS are thus important for cataractogenesis [53, 54].

The lens has evolved an impressive repertoire of antioxidant defense systems (Fig. 2). Of these, the peroxiredoxin (Prdx) family is actually a superfamily of selenium-independent peroxidases and comprises at least six members (Prdx1–6) [5558]. Prdxs use redox-active cysteines (Cys) to reduce peroxides, and fall into two categories: the 1-Cys Prdx (Prdx6) is different from 2-Cys Prdxs due to the lack of a C-terminal Cys residue required for intersubunit disulfide bond formation in the 2-Cys Prdxs [58]. The lens expresses all six Prdxs, among which Prdx6 expression is most pronounced [55, 59]. Prdx6 protects cells from damage to membranes, DNA and proteins produced by ROS-driven oxidative stress and/or lipid peroxidation [5560]. Patients aged >70 years express a lower level of Prdx6 mRNA than younger patients at the time of cataract surgery [61]. Nuclear and cortical cataracts were more severe in patients aged ≤70 years, whose LECs express a lower level of Prdx6 mRNA. The progression of age-related cataracts should thus involve increased oxidative stress resulting from the depletion of antioxidants such as Prdx6 in the lens. Importantly, introduction of the tagged Prdx6 into rodent LECs reduces cell death and DNA damage, and delays opacification following hydrogen peroxide treatment [60, 62]. Depletion of Prdx6 in mouse LECs increases ROS levels and cell killing following UVB exposure, implying that reduced Prdx6 expression underlies cellular damage and impaired homeostasis against UVB exposure in the lens, leading to cataractogenesis [62]. UV exposure may promote the progression of radiation cataracts [63], and free radical scavengers delay radiation cataracts [64, 65]. An antioxidant (e.g. by the addition or induction of Prdx6 controlling ROS in the lens) may be useful for delaying radiation cataracts.

Fig. 2.

Fig. 2.

Redox regulation in the lens. Superoxide dismutase (SOD), catalase (CAT), glutathione peroxidase (Gpx), and a newly characterized family of antioxidant molecules known as peroxiredoxins (Prdxs): all of these function in concert to detoxify and control the intracellular levels of reactive oxygen species, thus providing cytoprotection by maintenance of survival signaling. GSTπ = glutathione S-transferase π, TRX = thioredoxin, TRXR = thioredoxin reductase, GSH = glutathione (reduced), and GSSG = glutathione (oxidized), Cysp-SH = reduced peroxidatic cysteine, Cysp-SOH = oxidized peroxidatic cysteine (sulfenic acid).

Modification of lens proteins

The mechanism of cataract development is incompletely understood, but thought to involve the abnormal lens protein aggregation that lets incoming light scatter instead of focusing on the retina. Human lens proteins mainly consist of α-, β- and γ-crystallins, and their overall structure, stability and short-range interactions are thought to contribute to lens transparency. α-crystallin is a large molecule of ∼800 kDa comprised of two subunits, αA and αB. Each subunit is a polypeptide of ∼20 kDa, and α-crystallin is an aggregate of ∼40–50 subunit molecules. The β/γ-crystallin superfamily comprises oligomeric β-crystallin and monomeric γ-crystallin [66]. αA- or αB-crystallins are members of the small heat-shock protein family and function as molecular chaperones to protect β- and γ-crystallins from aggregation [66]. Lens crystallins account for ∼90% of the total water-soluble proteins in a highly concentrated form and constitute the refractive medium. Lenses constantly receive UV light and oxidative stress, and therefore damaged proteins accumulate in water-insoluble fractions due to the absence of turnover of the lens proteins. Water insoluble proteins increase in aged and cataractous lenses [66]. Furthermore, lens crystallins undergo various post-translational modifications, such as isomerization and inversion of aspartyl (Asp) residues (i.e. lβ, dβ and dα formation), deamidation of asparagine or glutamine residues, disulfide bonding of cysteines, oxidation of methionine or tryptophan, backbone cleavage, phosphorylation and glycation during the aging process [6769]. These modifications may reduce crystallin solubility, alter lens transparency and lead to cataract development. Indeed, post-translational modifications are strongly related to aggregation and loss of solubility of crystallin. Of these, d-Asp formation was proposed to underlie the change in the higher order structure and the loss of function of crystallins, considering that d-Asp formed in the protein should make the configuration of the Asp residue opposite. In addition, the β-linkage produced with Asp formation may affect the crystallin quaternary structure because the main chain of the protein becomes elongated. The Asp isomers may therefore cause insolubilization, abnormal aggregation and induction of partial unfolding of proteins, leading to a disease state. In fact, γ-ray and UV irradiation causes the d-Asp formation in α-crystallin, which results in abnormal aggregation and reduction of its chaperone activity [7072]. Mechanisms for spontaneous formation of d-Asp residues have been clarified [67], and Fig. 3 explains the possible steps for the simultaneous formation of β- and d-Asp residues in the protein. The d-Asp formation results from the racemization of specific Asp residues in the lens crystallins: a newly developed detection method could reveal that Asp residues 58, 76, 84 and 151 of αA-crystallin, and Asp 62 and 96 of αB-crystallin are highly converted to lβ-, dβ- and dα-isomers in age-related cataracts [73]. Detection of such Asp isomers may be useful for molecular epidemiological survey of cataracts induced by radiation or other causes.

Fig. 3.

Fig. 3.

Possible reaction pathways for spontaneous isomerization of aspartic acid (Asp) and deamidation of asparagine (Asn) residues in protein. The simultaneous formation of β- and d-Asp residues in the protein could be explained in the following four steps. (i) When the carbonyl group of the side chain of the lα-aspartyl residue/lα-Asn is attacked by the nitrogen of the amino acid residue following the Asp residue, l-succinimide is formed by intramolecular cyclization. (ii) l-succinimide may be converted to d-succinimide through an intermediate [I] that has the prochiral α-carbon in the plane of the ring. (iii) Protonation of the intermediate [I] may proceed from the upper or lower side of the plane in an ordinary peptide or protein. (iv) d- and l-succinimide are hydrolyzed at either side of their two carbonyl groups, yielding both β- and α-Asp residues, respectively. Thus, four isomers, lα-Asp, lβ-Asp, dα-Asp and dβ-Asp, are simultaneously formed in the protein.

Radiation weighting factor

The relative biological effectiveness (RBE) varies with the linear energy transfer (LET) of radiation such that high-LET radiation (e.g. neutrons and energetic heavy ions) is more genotoxic and cytotoxic than low-LET radiation (e.g. X-rays and γ-rays) [74, 75]. The lens was the only tissue for which ICRP recommended a special radiation weighting factor (wR) in 1964–1977 [76, 77] because it was believed that the lens is specifically vulnerable to neutrons. ICRP-92 could not recommend the wR or RBE values for cataracts due to lack of human data and concern as to how to apply the experimental data, and ICRP-118 did not deal with tissue reactions following high-LET irradiation. Whilst the wR and RBE of ≤20 have been commonly used, much higher RBE values have been reported: for example, the 95% CI of neutron RBE for A-bomb cataracts was 12–228 at 70 mGy [78]; the 80% CI of neutron RBE for rat cataracts was 250–500 at 2 mGy [79]; and the heavy ion RBE for rat cataracts was 50–200 at 10 mGy [80]. The wR relating to low-dose stochastic effects (chromosome aberrations) should not be used for cataracts and other tissue reactions without justification, awaiting further studies considering human exposure to high-LET radiation (e.g. accelerator or nuclear workers, cancer patients and space travelers).

The necessity to standardize cataract evaluation systems for epidemiological studies

ICRP-103 [2] defined the threshold as the dose that causes a particular effect in 1% of exposed individuals. With the approach of ICRP-99 [81], the population size required to detect a 1% risk with statistical significance was estimated to be ∼46 000 people, given the background cataract incidence of 75% [82]. Nevertheless, the population size for each cataract-related epidemiological study has not exceeded 10 000. A pooled analysis should help solve this issue, but has yet to be conducted because of varying endpoints and scoring systems in different studies. For instance, let us consider the three papers used in ICRP-118 to judge the threshold. One paper [13] looked at cataract surgery as a surrogate for VIC, whereas two papers [12, 17] graded lenticular changes using the Lens Opacity Classification System (LOCS) II or the Merriam–Focht method. Opacities and cataracts classified by these two different methods cannot be directly compared, but approximation algorithms have been proposed to convert from the LOCS III to either the Oxford system [83] or the Wisconsin system [84] (and vice versa). Such conversion may be useful for the pooled analysis of epidemiological data obtained with different grading systems, though approximation processes may cause some artifacts. Taken together, the boundary between opacities and cataracts is ophthalmologically vague, and various diagnostic modalities have been used (e.g. slit-lamp biomicroscopy, retroillumination or Scheimpflug imaging). Endpoints, diagnostic approaches and classification systems should therefore be standardized for future epidemiological studies.

The dose limit: preventing cataracts versus reducing cancer risks

Cataracts are not life threatening, and most of them are surgically curable. Notwithstanding, cataracts limit occupational performance and interfere with daily life activities. Cataracts should hence be prevented (c.f. its risk should be reduced if stochastic). By definition, the new equivalent dose limit for the lens of 20 mSv/year aims to prevent VICs at a morbidity of 1%/0.5 Sv (and a mortality of 0%/0.5 Sv). For comparison, the effective dose limit of 20 mSv/year aims to reduce cancer risks to a mortality of 2.06%/0.5 Sv (and a morbidity of 5.84%/0.5 Sv) (n.b. excluding the contribution of heritable effects) [85]. For instance, exposure of the Japanese population to 0.5 Sv is estimated to increase VICs morbidity from 75 to 76%, cancer morbidity from 48 to 54% and cancer mortality from 20 to 22% [85]. Thus, these dose limits deal with cataract morbidity more strictly than cancer mortality, necessitating the development of a common scale to compare diverse effects regardless of the life-threatening and stochastic nature.

Potential issues arising from implementation of the new dose limit

The new dose limit for the lens was not 10 mSv/year (0.5 Sv divided by a working life of 50 years) but 20 mSv/year [9]. This was because a higher limit would not be protective given the substantially lower threshold, and because alignment with the effective dose limit of 20 mSv/year facilitates regulatory implementation [86]. In this scenario, the lifetime occupational exposure at the rate of the dose limit (i.e. 0.1 Sv/5 years × 50 years = 1 Sv) doubles the nominal threshold. Accordingly, optimization of protection was also recommended [86].

The new dose limit may affect some medical (e.g. interventionists) or nuclear (glove box users fabricating mixed oxide fuel) workers. Supplementary Table 1 provides the estimated lens dose of ∼260 000 workers (∼40% of all registered radiation workers) in Japan, showing that >0.5% of medical workers exceeded 20 mSv/year in the last two years. Supplementary Table 2 lists the recently reported lens doses of interventionists and support staff, indicating a mean dose per procedure of 3.9–141 µSv (ranging from 1–1083 µSv) and a mean annual dose of 19–500 mSv (ranging from 1–4674 mSv). Of the three basic elements of RP, shielding with protective tools would be the most realistic to reduce the lens dose of these workers, because it would be difficult to shorten the time (e.g. by increasing workers or decreasing patients) or to increase the distance from the radiation source.

Estimation of the lens dose in clinical settings

The lens dose of medical workers and patients has seldom been evaluated, given that the occupational dose limit has rarely been exceeded. However, lens dose management will become more important considering the new threshold. The dose should be known at each time when a worker or a patient undergoes repeated examinations or interventional procedures. For this, it would be practical if the patient dose could be estimated using irradiation parameters. The Medical Internal Radiation Dose (MIRD)-based mathematical phantom is generally used for Monte Carlo simulations of dose, but this does not include the lens. By contrast, the MIRD-type phantom presented in Fig. 4 includes the lens in addition to other major organs used for effective dose calculation. With this mathematical phantom and the use of irradiation parameters, the absorbed dose to any organ can be calculated. The difference between the simulated dose and the dose experimentally determined using a physical phantom was mostly within ±20%, depending on the organ irradiated (e.g. ±7% for a cranial computed tomography scan), and this can serve as a practical patient dose evaluation approach.

Fig. 4.

Fig. 4.

The mathematical phantom used to simulate the dose with the Monte Carlo method. The lens was added into the generally used MIRD phantom. The dose posed by any direction of X-ray beam to any position and size can be calculated for dose optimization purposes.

Regarding the occupational dose to interventionists and their support staff, information on the spatial dose distribution in an X-ray examination room is important in order to prepare the work plan and to accurately perform the safety assessment of radiation medical examination. Such information is generally obtained by measuring the dose at many points with radiation survey meters etc., but it would be impractical to measure dose distributions every time and also be difficult to know how irradiation conditions and direction of radiation are affecting dose distributions. The measurement data can be used in dose estimation for a certain model case, but may sometimes result in poor accuracy and underestimation of the dose. In this regard, the lens dose of medical workers involved in interventional procedures can be evaluated with the Monte Carlo method by estimating spatial dose distributions (Fig. 5) [87]. The difference between the simulated dose and the experimentally determined dose is within ±10% at a source-to-patient distance of 3 m. Besides, this approach can calculate spatial dose distributions using recorded irradiation patterns (e.g. an irradiation angle), and is thus useful for evaluating the absorbed dose to any organs of workers in a range of standing positions and to conduct planning for adequate protection.

Fig. 5.

Fig. 5.

The spatial dose distribution simulated with the Monte Carlo method for interventional procedures. Horizontal (X-Y) or vertical (X-Z or Y-Z) dose distributions are shown based on the spatial dose distribution posed by irradiation from the postero–anterior (PA) position, the 30° right anterior oblique (RAO) position, or the 45° left anterior oblique (LAO) position. Pink colored areas indicate various stuffs placed in the room (e.g. X-ray equipment, other medical equipments and shelves).

In summary, Monte Carlo simulations will be useful for estimating patient dose and spatial dose distribution in the X-ray room for work planning and retrospective dose reconstruction. Future related issues include how to manage and record cumulative patient dose.

What else do we need to know about cataracts?

Various fundamental questions remain unanswered about cataractogenesis, necessitating a greater mechanistic understanding. Several examples of such questions, in addition to those already mentioned, are as follows.

What are the target cells for PSC cataractogenesis?

PSC cataracts are most common radiogenic cataracts (c.f. least common of senile cataracts); in contrast, cortical cataracts, which are also radiation-related, almost always track behind PSC cataracts in time. PSC cataracts have been believed to result from either abnormal proliferation and migration of LECs, or aberrant fiber cell terminal differentiation [88, 89]. LECs in the GZ appear to be the relevant cells at risk, as discussed above, and aberrant and excessive LEC proliferation around the equator seems to most plausibly account for radiogenic PSC cataractogenesis [44, 45, 90, 91]. However, the target cells are not known, and the question of whether a cataract arises from a single cell or a group of cells remains unanswered, as does the question of whether cataractogenesis is attributable to damage to stem, progenitor cells and/or functional cells, warranting further studies. Findings on non-radiogenic PSC cataracts (e.g. those caused by steroids) should also help improve mechanistic understanding. What determines the anatomical location of cataract development remains a fascinating question.

What triggers lens opacification?

LECs divide in the GZ, move posteriorly, and terminally differentiate into elongated fiber cells that have no organelles. Newly formed fiber cells surround existing fiber cells concentrically. Proper fiber cell terminal differentiation and maintenance of the highly ordered arrangements of crystallins and fiber cells are responsible for lens transparency.

Abnormal LEC behaviors would surely be one of the upstream events in radiation cataractogenesis, because the inhibition of LEC divisions prevents radiogenic misalignment of fiber cells and lens opacification [44, 45]. Furthermore, the tumor suppressor protein p53 has been proposed as protecting the lens against spontaneous PSC cataractogenesis [37], so it would be interesting to test if topical enhancement of p53 function in the lens alleviates radiation carcinogenesis, and if ‘super p53' mice [92] manifest fewer radiation cataracts than their wild-type counterparts.

Irradiation disturbs fibergenesis via the posterior displacement of the nuclei of abnormally elongating fibers, which disorganizes the cytoarchitecture of the lens bow [93]. Disruption of NBS1 or of HSF4 promotes spontaneous cataractogenesis and makes fiber cell denucleation incomplete [39, 94], but their roles in radiation cataractogenesis are unknown. Future studies should clarify these issues.

Whether protein aggregation is an early trigger event for radiation cataractogenesis or the result of the cataractogenesis remains unknown. Whole body exposure of a mouse to ≥0.5 Gy of γ-rays changes crystallins [95], though its impact on lens opacification is unclear. Accumulation of β-amyloid (Aβ) in the human lens has recently been proposed as promoting lens protein aggregation and opacification [96]. Aβ accumulates in the opaque rat lens epithelium, but this was not the case in its cortex or nucleus [97]. Cerebral Aβ plaque accumulation occurs in a mouse model of Alzheimer's disease exposed to 0.1 Gy of high-LET iron ions [98], but not in wild-type mice exposed to 0.1 Gy of X-rays [99]. Dose and radiation quality dependence of Aβ accumulation and its impact on the lens would thus be interesting.

The earliest lenticular changes following irradiation include the formation of ‘vacuoles’ in the equatorial regions, which then appear in the central portion of the posterior cortex and PSC regions [100, 101]. These vacuoles appear to be transient in nature [102] and greatly differ in diameter (e.g. 10 µm–1.3 mm [103]), but the composition of the intravacuolar fluid with lower refractive index than the surrounding lens material is currently uncharacterized and requires elucidation.

Do calcium ions play roles?

The development of senile nuclear or cortical cataracts involves a lens ionic imbalance, such that whereas the intracellular levels of Ca2+ and Na+ in the lens escalate with age, those of Mg2+ and K+ decline. Induction of inducible nitric oxide synthase (iNOS) appears to precede the elevation of the lens Ca2+ levels, which in turn causes opacification via enhanced lens protein degradation and nitration [104, 105]. Increased serum Ca2+ levels are associated with A-bomb PSC cataracts but not with cortical cataracts [31, 106]. Changes in and roles of lens Ca2+ levels are unknown, but this evaluation may be warranted because radiation is an iNOS inducer [107].

What determines the latency period?

Human radiation cataracts take from a few months to more than half a century to appear, and dose cannot simply explain such difference [18, 108]; thus further studies are required to address whether different mechanisms work for early- and late-occurring cataracts, or for cataracts, which are induced by low- and high-dose irradiation, and how individual differences in radiosensitivity affect cataracts in the latency period.

RADIOGENIC CVD

Current knowledge and unresolved issues concerning CVD

ICRP-118 used the ERR/Gy and baseline disease risk to explain the threshold. The ICRP recognized uncertainties in the underlying scientific evidence, but assumed the same ERR/Gy independent of dose rate for RP purposes. This has raised precautionary consideration of the inclusion of circulatory disease in the RP system for chronic or fractionated low-dose exposure. The most important biological issues to be solved for scientific substantiation will be whether small lesions caused by low-dose radiation persist and accumulate long enough to show symptoms, and whether low-dose-rate radiation causes disease in proportion to total dose.

Epidemiological studies provide information for identification of radiation-associated effects. Studies on high-dose exposure (e.g. medical exposure) [9] and the meta-analysis of moderate- to low-dose exposure [109] have suggested an associated increase in ischemic heart disease (IHD). Acceleration of atherosclerosis is thus assumed as a possible mechanism for radiation-associated CVD.

ICRP-118 discussed the possible mechanism of radiation-associated CVD being mainly based on an inflammation theory [110]. Inflammation is a known key mechanism in atherosclerosis [111], and radiation induces inflammatory responses. An enhanced pro-inflammatory response has been observed at >2 Gy [112] and at 0.1–0.5 Gy [113, 114], but anti-inflammatory effects have also been observed at <0.5 Gy [115, 116]. Acute exposure of mice to 0.1 or 0.3 Gy inhibits leukocyte recruitment against lipopolysaccharide challenge [115]. Fractionated low-dose exposures decrease diabetes-induced inflammatory gene expression in the heart, whereas a slight but significant increase is observed in non-diabetic control mice [116]. These results suggest a non-linear dose response for radiogenic inflammation, implying different etiological mechanisms at a low dose. However, these findings were obtained in animal models under highly inflammatory conditions, and suitable experimental models are necessary to study radiation effects on the circulatory system under physiological conditions. Taken together, whereas these experimentally observed inflammatory responses are transient in nature, CVD has a long latency period. Thus long-lasting and cumulative effects need to be analyzed.

Vascular endothelial cell senescence has recently been recognized as an important surrogate marker for CVD [117]. Chronic low-dose-rate irradiation also appears to accelerate vascular endothelial cell senescence in vitro [118]. Senescence may thus be a good marker (Fig. 6), and more detail is provided below. The roles of inflammation and of endoplasmic reticulum (ER) stress in CVD and metabolic disease are also discussed.

Fig. 6.

Fig. 6.

Hypothetical mechanisms of radiogenic CVD. Solid arrows represent the inflammation theory. Dashed arrows represent hypotheses discussed here.

Role of cellular senescence in CVD

Vascular cells have a finite lifespan in vitro and eventually enter a state of irreversible growth arrest called cellular senescence. Flattening and enlargement of vascular cells are known morphological characteristics of senescence [119]. The expression of negative cell cycle regulators (e.g. p53 and p16) increases with cell division, thereby promoting growth arrest [120]. Primary cultured cells undergoing senescence in vitro show increased expression of senescence-associated β-galactosidase (SA β-gal) activity, which is correlated with the aging of cells and thus regarded as a biomarker for cellular senescence [121]. Vascular cells obtained from human atherosclerotic plaques have impaired in vitro growth and develop senescence earlier than those from normal vessels [122]. Both vascular endothelial cells and vascular smooth muscle cells (VSMCs) exhibit the morphological features of cellular senescence [123]. These findings suggest vascular cell senescence in vivo, which has been actually confirmed. For instance, repeated endothelial denudations markedly enhance the accumulation of SA β-gal-positive vascular cells in damaged rabbit carotid arteries [124]. Moreover, SA β-gal-positive vascular cells exist in atherosclerotic plaques obtained from the coronary arteries of IHD patients [125]. These SA β-gal-positive cells are predominantly localized on the luminal surface of the atherosclerotic plaques and are identified as endothelial cells, while such cells are not observed in the internal mammary arteries of the same patients where atherosclerotic changes are minimal. In advanced plaques, however, SA β-gal-positive VSMCs are detected in the intima but not in the media [126]. This may be due to extensive cell replication in the lesions, as is observed in arteries subjected to double denudation [124]. The finding that SA β-gal-positive cells in human atheroma exhibit increased expression of p53 and p16 further serves as evidence in favor of in vivo senescence. These cells also show various functional abnormalities, such as decreased expression of endothelial NOS (eNOS) and increased expression of pro-inflammatory molecules [126, 127]. Cellular senescence may thus contribute to the pathogenesis of human vascular aging.

Telomerase adds telomeres to chromosome ends [128]. Most somatic cells, including vascular cells, show progressive telomere shortening due to low telomerase activity, in contrast to the high telomerase activity and the maintained telomere length observed in some stem cells. Critically short telomeres resemble damaged DNA and trigger cellular senescence via a p53-dependent pathway [129]. Such telomere shortening occurs in human blood vessels and may be related to atherogenesis. For instance, the telomere length of endothelial cells from the abdominal aorta and iliac arteries is inversely correlated with age [130]. Interestingly, telomere shortening occurs faster in iliac artery endothelial cells than in internal mammary artery endothelial cells [130]. A high level of hemodynamic stress may thus enhance endothelial cell turnover in the iliac arteries compared with that in vessels subjected to less stress. Telomeres are shorter in coronary artery endothelial cells from patients with coronary heart disease than in cells from healthy subjects [131]. Shorter endothelial telomere length has been found in patients with a longer history of CVD risk factors [132], suggesting that these factors override the effect of chronological aging on endothelial cell turnover by accelerating stress-induced damage. Identification of the factors that accelerate endothelial telomere attrition could provide a novel strategy with which to treat human atherosclerosis.

Role of inflammation and ER stress in CVD and metabolic disease

Over the past decade, ample evidence has demonstrated an integration of metabolic and immune response pathways. Metabolic and immune systems share common regulatory mechanisms, and ‘metaflammation’ (defined as metabolic-driven, low-grade, chronic inflammation) has been observed in metabolic diseases including obesity, insulin resistance, type 2 diabetes and CVD [133]. Excess metabolic nutrients trigger metaflammation and activate signaling pathways involved in classical and canonical inflammation, such as c-Jun N-terminal kinase (JNK), inhibitor of nuclear factor κB kinase (IKK), and double-stranded RNA-dependent protein kinase (PKR) [133].

Inflammatory cytokines, bioactive lipids and metabolic stress pathways act in both metabolic and immune responses, leading to metaflammation in metabolically critical organs and tissues. Both extracellular mediators (e.g. inflammatory cytokines and lipids) and intracellular stress (e.g. ER stress and ROS) initiate metaflammatory pathways. Fatty acid-binding proteins also play significant roles in the development of metabolically triggered inflammation [134, 135]. All of these mediators activate a number of inflammatory signaling pathways including JNK, IKK and PKR [133, 136].

The ER is an important organelle that serves as a protein quality control device and coordinates synthesis, folding and trafficking of proteins [137]. Pathological conditions including increased protein synthesis, hypoxia, and irradiation interfere with the ER folding capacity and lead to ER stress. ER stress activates complex signaling pathways called the unfolded protein response (UPR). The UPR activates inflammation and has been implicated in the etiology of several chronic inflammatory diseases [137]. The UPR involves the integration of adaptive responses through three ER transmembrane sensors: PKR-like ER kinase (PERK), inositol-requiring enzyme-1 (IRE1) and activating transcription factor 6 (ATF6). These sensors activate adaptive responses such as the inhibition of protein translation, transcriptional production of protein-folding chaperones, and ER-associated degradation [137]. The UPR also induces apoptosis if the stress is too severe and prolonged.

Regarding ER stress-related inflammation, IRE1 interacts with tumor necrosis factor receptor-associated factor 2 and activates JNK and IKK, which in turn induce the expression of inflammatory cytokines [138, 139]. PERK activation decreases the translation of inhibitor of NF-κB (IκB), thereby augmenting NF-κB transcriptional activity and the expression of its pro-inflammatory target genes [140]. ER stress also activates PKR, a member of eIF2α kinase family [136].

Disruption of ER function is associated with the development of obesity, insulin resistance and type 2 diabetes [141]. JNK activation mediated by IRE1 and PKR suppresses insulin receptor signaling during ER stress [136, 141]. PKR inhibitors reduce adipose tissue inflammation and improve insulin sensitivity in obese and diabetic mice [142]. Enhancement of the ER folding capacity in obese mice through transgenic strategies or the use of chemical chaperones (e.g. sodium 4-phenylbutyrate and tauroursodeoxycholic acid) relieves ER stress in liver and adipose tissue and restores glucose homeostasis [143, 144].

Prolonged activation of ER stress pathways contributes to macrophage death and subsequent plaque necrosis in advanced atheroma [145]. Expression of the UPR effector C/EBP-homologous protein (CHOP) that triggers apoptosis is markedly increased in plaques with vulnerable morphology in the human coronary artery [146]. Moreover, deletion of CHOP in mouse models of advanced atherosclerosis suppresses macrophage death and plaque necrosis [147].

What more should we know about CVD?

Possible mechanistic models have been proposed for radiogenic CVD [111], but a consensus has yet to be reached, especially for low-dose and/or low-dose-rate exposures. The absence of established experimental model systems is an underlying problem. The following four issues are discussed here: (i) experimental model animals; (ii) relevant surrogate markers; (iii) time-span and mode of exposures; and (iv) target tissues and endpoints.

Mice lacking apolipoprotein E have been used in the field of radiation biology because of their known predisposition to atherosclerosis, but this type of experimental model with spontaneous pathological conditions may not be suitable for the purposes of extrapolation to human risk estimation. Even though low-dose irradiation of such genetically predisposed mice may cause suppressive effects (i.e. hormesis), these effects should not be regarded as beneficial effects. This is because the radiation-induced suppression of spontaneous pathological conditions may not necessarily reflect the changes that would be induced by irradiation of normal mice.

Given the myriad of differences between mice and humans (e.g. in lipid metabolism, cell cycle checkpoints, immune system and lifespan), mice may not be a good model system for human atherosclerosis. We expect that porcine models of accelerated coronary atherosclerosis [148] will be important for radiation research, but the use of rodent animals is more practical because many irradiation facilities are designed for rodents (especially mice for exposure to low-dose-rate radiation). Identification of radiation-related markers in mice relevant to human CVD is thus a priority issue.

Surrogate markers need to work similarly in humans and in animal models. Vascular cell senescence has been recognized as a surrogate marker for the risk of vascular dysfunction, but causality needs to be established. For ER stress, there are no surrogate markers that can be measured in humans. It is difficult to show causal associations between inflammatory changes and atherosclerosis or CVD. Considering the long latency of CVD, the time-lag between irradiation and manifestations is important, and radiation-related endpoints observable for long periods after irradiation will need to be identified as surrogate markers. Dose rate is a related issue. Although the ICRP have suggested the same threshold dose for acute and chronic exposures, it is questionable to assume that they involve the same mechanism, as mentioned in ICRP-118.

If CVD is to be regarded as a tissue reaction caused by injury in populations of cells, the dose rate that affects all functional units should be used for testing. It would be of the order of 1 mGy/h based on the unit dose of a single photon track [149] and the rate of DNA repair [150], or of the order of 10 mGy/week based on the stem cell turnover rate in tissues (e.g. [151]).

It remains unknown whether CVD induced by acute or chronic radiation exposure is the same as age-related CVD. Acute radiation accelerates cellular senescence without shortening telomeres [152], suggesting a possible difference between radiogenic and age-related CVD. Low-dose-rate irradiation of cultured human umbilical vein endothelial cells induces senescence with a potential dose-rate threshold of <2 mGy/h [153]. Given that long-lasting stress stimulates stem cell turnover and induces cellular senescence, chronic exposure experiments will be important.

The target tissue of radiation effects is also an issue. For instance, chronic exposure to 20 mGy/day increases adiposity without an increase in feed consumption [154], but it is unclear which tissue (adipose tissue or other organs such as endocrine systems) is critical for inducing such effects. Both epidemiological studies [155] and biological studies [156] have raised the possibility that radiogenic renal dysfunction contributes to the acceleration of CVD. Thus we need to consider the possibility that radiation effects on other tissues could modify or amplify the effects and affect circulatory systems (Fig. 6).

Epidemiological studies provide information for the estimation of human risks, but are compromised by several issues. First, epidemiological associations between radiation and circulatory disease collectively consist of many different endpoints, but analysis (e.g. dose response) of each specific disease should provide intrinsically important information. Second, risk transfer between populations is not easy, because the baseline disease rate affects ERR.

Because no single relevant markers for radiogenic CVD are available for animal experiments, markers should be identified that can explain human risks and which are observable for long periods (even after low-dose or low-dose-rate exposures) and consistent with epidemiological results. From the viewpoints of RP and the characteristics of CVD, it would be important to explore the effects after long-term low-dose-rate exposure. Molecular mechanistic markers are needed to validate the generality of the expected cellular/animal findings for extrapolation to humans, but pathological pre-symptomatic changes that contribute to the process of CVD development would also be useful to evaluate causal associations between the observed effects and disease.

CONCLUSIONS

Here we have discussed the emerging issues in radiation-induced cataracts and CVD, and new thresholds surely led to an increased interest in its manifestations and mechanisms. The similarities and dissimilarities observed in early- and late-occurring cataracts, and in CVD induced by acute high dose and chronic low doses of radiation are not well understood. The possible stochastic nature of cataracts and of CVD renders the boundary between tissue reactions and stochastic effects vague and may call for a new concept for the classification of radiation effects [11]. Because the new thresholds indicated by the guidelines are as low as 0.5 Gy, and also because the dose for patients is clearly higher than that for medical workers, ‘therapeutic reference level’ may need to be considered in addition to ‘diagnostic reference level’. The target tissues for the prevention of circulatory disease remain uncertain, and may include the heart, brain, kidney and/or the entire vasculature. In short, more studies on radiogenic non-cancer effects are evidently necessary.

SUPPLEMENTARY DATA

Supplementary data is available at the Journal of Radiation Research online.

FUNDING

The KURRI meeting was organized and chaired by N.H. on behalf of the Young Radiation Biologists’ Association of Japan, and cosponsored by the Global Nuclear Human Resource Development Project from the Ministry of Education, Culture, Sports, Science and Technology of Japan and KURRI.

Supplementary Material

Supplementary Data

ACKNOWLEDGEMENTS

This article overviews presentations and discussion made at the meeting on radiogenic cataracts and CVD on 25–26 August 2013 in KURRI (Osaka, Japan). The authors would like to cordially thank Drs. Kazunori Kodama (Radiation Effects Research Foundation, Japan), Kazuo Neriishi (Yachiyo Hospital, Japan) and Makoto Takehana (Keio University, Japan) for invaluable comments raised at the meeting. T.N. is grateful to Dr. Koichi Tatsumi (the National Institute of Radiological Sciences, Japan) for kindly providing the C3H-Atm mice.

REFERENCES

  • 1.ICRP. Recommendations of the International Commission on Radiological Protection. ICRP. ICRP Publication 26. Ann ICRP. 1977;1(3) [PubMed] [Google Scholar]
  • 2.ICRP. The 2007 Recommendations of the International Commission on Radiological Protection. ICRP Publication 103. Ann ICRP. 2007;37(2–4) doi: 10.1016/j.icrp.2007.10.003. [DOI] [PubMed] [Google Scholar]
  • 3.Rollins W. Notes on x-light. The effect of x-light on the crystalline lens. Boston Med Surg J. 1903;148:364–5. [Google Scholar]
  • 4.Cogan DG, Martin SF, Kimura SJ. Atom bomb cataracts. Science. 1949;110:654–5. doi: 10.1126/science.110.2868.654. [DOI] [PubMed] [Google Scholar]
  • 5.Abelson PH, Kruger PG. Cyclotron-induced radiation cataracts. Science. 1949;110:655–7. doi: 10.1126/science.110.2868.655. [DOI] [PubMed] [Google Scholar]
  • 6.ICRP. International recommendations on radiological protection. Br J Radiol. 1951;24:46–53. doi: 10.1259/0007-1285-24-277-46. Radiology 1951;56:431–9. (The same contents were published in two different journals.) [DOI] [PubMed] [Google Scholar]
  • 7.ICRP. Recommendations of the International Commission on Radiological Protection. Br J Radiol. 1955;28(Suppl. 6):1–92. [PubMed] [Google Scholar]
  • 8.ICRP. Radiosensitivity and spatial distribution of dose. Oxford: Pergamon Press; 1969. ICRP Publication 14. [Google Scholar]
  • 9.ICRP. ICRP Statement on tissue reactions/Early and late effects of radiation in normal tissues and organs – threshold doses for tissue reactions in a radiation protection context. ICRP Publication 118. Ann ICRP. 2012;41 doi: 10.1016/j.icrp.2012.02.001. (1/2) [DOI] [PubMed] [Google Scholar]
  • 10.ICRP. Radiological protection in cardiology. ICRP Publication 120. Ann ICRP. 2013;42(1) doi: 10.1016/j.icrp.2012.09.001. [DOI] [PubMed] [Google Scholar]
  • 11.Hamada N. What are the intracellular targets and intratissue target cells for radiation effects? Radiat Res. 2014;181:9–20. doi: 10.1667/RR13505.1. [DOI] [PubMed] [Google Scholar]
  • 12.Nakashima E, Neriishi K, Minamoto A. A reanalysis of atomic-bomb cataract data, 2000–2002: a threshold analysis. Health Phys. 2006;90:154–60. doi: 10.1097/01.hp.0000175442.03596.63. [DOI] [PubMed] [Google Scholar]
  • 13.Neriishi K, Nakashima E, Minamoto A, et al. Postoperative cataract cases among atomic bomb survivors: radiation dose response and threshold. Radiat Res. 2007;168:404–8. doi: 10.1667/RR0928.1. [DOI] [PubMed] [Google Scholar]
  • 14.Shimizu Y, Kodama K, Nishi N, et al. Radiation exposure and circulatory disease risk: Hiroshima and Nagasaki atomic bomb survivor data, 1950–2003. BMJ. 2010;340 doi: 10.1136/bmj.b5349. b5349. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.ICRP. 1990 recommendations of the International Commission on Radiological Protection. ICRP Publication 60. Ann ICRP. 1991;21(1–3) [PubMed] [Google Scholar]
  • 16.ICRP. Nonstochastic effects of ionizing radiation. ICRP Publication 41. Ann ICRP. 1984;14(3) [PubMed] [Google Scholar]
  • 17.Worgul BV, Kundiyev YI, Sergiyenko NM, et al. Cataracts among Chernobyl clean-up workers: implications regarding permissible eye exposures. Radiat Res. 2007;167:233–43. doi: 10.1667/rr0298.1. [DOI] [PubMed] [Google Scholar]
  • 18.Merriam GR, Jr, Focht EF. A clinical study of radiation cataracts and the relationship to dose. Am J Roentgenol. 1957;77:759–85. [PubMed] [Google Scholar]
  • 19.Donaldson DD. Third Conference on Radiation Cataracts: Abstracts and Proceedings. Washington, DC: National Research Council, National Academy of Sciences; 1952. Observations in Japan; pp. 37–9. [Google Scholar]
  • 20.Ham WT, Jr., Radiation cataract. AMA Arch Ophthalmol. 1953;50:618–43. doi: 10.1001/archopht.1953.00920030628010. [DOI] [PubMed] [Google Scholar]
  • 21.Choshi K, Takaku I, Mishima H, et al. Ophthalmologic changes related to radiation exposure and age in Adult Health Study sample, Hiroshima and Nagasaki. Radiat Res. 1983;96:560–79. [PubMed] [Google Scholar]
  • 22.Nair RR, Rajan B, Akiba S, et al. Background radiation and cancer incidence in Kerala, India-Karanagappally cohort study. Health Phys. 2009;96:55–66. doi: 10.1097/01.HP.0000327646.54923.11. [DOI] [PubMed] [Google Scholar]
  • 23.Tao Z, Akiba S, Zha Y, et al. Cancer and non-cancer mortality among inhabitants in the high background radiation area of Yangjiang, China (1979–1998) Health Phys. 2012;102:173–81. doi: 10.1097/HP.0b013e31822c7f1e. [DOI] [PubMed] [Google Scholar]
  • 24.Niwa O. Roles of stem cells in tissue turnover and radiation carcinogenesis. Radiat Res. 2010;174:833–9. doi: 10.1667/RR1970.1. [DOI] [PubMed] [Google Scholar]
  • 25.Otsuka K, Hamada N, Magae J, et al. Ionizing radiation leads to the replacement and de novo production of colonic Lgr5+ stem cells. Radiat Res. 2013;179:637–46. doi: 10.1667/RR3253.1. [DOI] [PubMed] [Google Scholar]
  • 26.Strandqvist M. Studien über die kumulative wirkung der röntgenstrahlen bei fraktionierung. Erfahrungen aus dem radiumhemmet an 280 haut- und lippenkarzinomen. Acta Radiol. 1944;Suppl 55:1–300. [Google Scholar]
  • 27.Merriam GR, Jr, Szechter A, Focht EF. The effects of ionizing radiation on the eye. Front Radiat Ther Oncol. 1972;6:346–85. [Google Scholar]
  • 28.Di Paola M, Bianchi M, Baarli J. Lens opacification in mice exposed to 14-MeV neutrons. Radiat Res. 1978;73:340–50. [PubMed] [Google Scholar]
  • 29.Worgul BV, Smilenov L, Brenner DJ, et al. Atm heterozygous mice are more sensitive to radiation-induced cataracts than are their wild-type counterparts. Proc Natl Acad Sci U S A. 2002;99:9836–9. doi: 10.1073/pnas.162349699. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Kleiman NJ, David J, Elliston CD, et al. Mrad9 and atm haploinsufficiency enhance spontaneous and X-ray-induced cataractogenesis in mice. Radiat Res. 2007;168:567–73. doi: 10.1667/rr1122.1. [DOI] [PubMed] [Google Scholar]
  • 31.Blakely EA, Kleiman NJ, Neriishi K, et al. Radiation cataractogenesis: epidemiology and biology. Radiat Res. 2010;173:709–17. doi: 10.1667/RRXX19.1. [DOI] [PubMed] [Google Scholar]
  • 32.Elson A, Wang Y, Daugherty CJ, et al. Pleiotropic defects in ataxia-telangiectasia protein-deficient mice. Proc Natl Acad Sci U S A. 1996;93:13084–9. doi: 10.1073/pnas.93.23.13084. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Barlow C, Hirotsune S, Paylor R, et al. Atm-deficient mice: a paradigm of ataxia telangiectasia. Cell. 1996;86:159–71. doi: 10.1016/s0092-8674(00)80086-0. [DOI] [PubMed] [Google Scholar]
  • 34.Tsuji H, Ishii-Ohba H, Noda Y, et al. Rag-dependent and Rag-independent mechanisms of Notch1 rearrangement in thymic lymphomas of Atm−/− and scid mice. Mutat Res. 2009;660:22–32. doi: 10.1016/j.mrfmmm.2008.10.002. [DOI] [PubMed] [Google Scholar]
  • 35.Morgan WF, Bair WJ. Issues in low dose radiation biology: the controversy continues. A perspective. Radiat Res. 2013;179:501–10. doi: 10.1667/RR3306.1. [DOI] [PubMed] [Google Scholar]
  • 36.Neriishi K, Hayashi T, Nakashima E, et al. Abstract Book of Radiation Cataractogenesis Workshop 2009. Hiroshima, Japan: RERF, 2009; ATM haplotypes and radiosensitivity in A-bomb survivors – preliminary trial using existing data at RERF. [Google Scholar]
  • 37.Wiley LA, Rajagopal R, Dattilo LK, et al. The tumor suppressor gene Trp53 protects the mouse lens against posterior subcapsular cataracts and the BMP receptor Acvr1 acts as a tumor suppressor in the lens. Dis Model Mech. 2011;4:484–95. doi: 10.1242/dmm.006593. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Graw J. Mouse models of cataract. J Genet. 2009;88:469–86. doi: 10.1007/s12041-009-0066-2. [DOI] [PubMed] [Google Scholar]
  • 39.Yang YG, Frappart PO, Frappart L, et al. A novel function of DNA repair molecule Nbs1 in terminal differentiation of the lens fibre cells and cataractogenesis. DNA Repair. 2006;5:885–93. doi: 10.1016/j.dnarep.2006.05.004. [DOI] [PubMed] [Google Scholar]
  • 40.Luo YF, Wang BB, Zhou Z, et al. Polymorphisms of the DNA repair genes XPD and XRCC1 and the risk of age-related cataract development in Han Chinese. Curr Eye Res. 2011;36:632–6. doi: 10.3109/02713683.2011.571358. [DOI] [PubMed] [Google Scholar]
  • 41.Jiang J, Zhou J, Yao Y, et al. Copy number variations of DNA repair genes and the age-related cataract: Jiangsu Eye Study. Invest Ophthalmol Vis Sci. 2013;54:932–8. doi: 10.1167/iovs.12-10948. [DOI] [PubMed] [Google Scholar]
  • 42.Goldmann H, Liechti A. Experimentelle untersuchungen über die genese des röntgenstars. Albrecht von Graefes Arch Ophthalmol. 1938;138:722–36. [Google Scholar]
  • 43.Alter AJ, Leinfelder PJ., Roentgen-ray cataract. Effects of shielding of the lens and ciliary body. Arch Ophthalmol. 1953;49:257–60. [PubMed] [Google Scholar]
  • 44.Worgul BV, Rothstein H. Radiation cataract and mitosis. Ophthalmic Res. 1975;7:21–32. doi: 10.1159/000265195. [DOI] [PubMed] [Google Scholar]
  • 45.Hayden JH, Rothstein H, Worgul BV, et al. Hypophysectomy exerts a radioprotective effect on frog lens. Experientia. 1980;36:116–8. doi: 10.1007/BF02004009. [DOI] [PubMed] [Google Scholar]
  • 46.Oka M, Toyoda C, Kaneko Y, et al. Characterization and localization of side population cells in the lens. Mol Vis. 2010;16:945–53. [PMC free article] [PubMed] [Google Scholar]
  • 47.Yang C, Yang Y, Brennan L, et al. Efficient generation of lens progenitor cells and lentoid bodies from human embryonic stem cells in chemically defined conditions. FASEB J. 2010;24:3274–83. doi: 10.1096/fj.10-157255. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.ICRP. RBE for deterministic effects. ICRP Publication 58. Ann ICRP. 1990;20(4) [PubMed] [Google Scholar]
  • 49.ICRP. Relative biological effectiveness (RBE), quality factor (Q), and radiation weighting factor (wR). ICRP Publication 92. Ann ICRP. 2003;33(4) doi: 10.1016/s0146-6453(03)00024-1. [DOI] [PubMed] [Google Scholar]
  • 50.Ames BN, Shigenaga MK, Hagen TM. Oxidants, antioxidants, and the degenerative diseases of aging. Proc Natl Acad Sci U S A. 1993;90:7915–22. doi: 10.1073/pnas.90.17.7915. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Kubo E, Miyoshi N, Fukuda M, et al. Cataract formation through the polyol pathway is associated with free radical production. Exp Eye Res. 1999;68:457–64. doi: 10.1006/exer.1998.0624. [DOI] [PubMed] [Google Scholar]
  • 52.Spector A. Oxidative stress-induced cataract: mechanism of action. FASEB J. 1995;9:1173–82. [PubMed] [Google Scholar]
  • 53.Dong X, Lofgren S, Ayala M, et al. Maximum tolerable dose for avoidance of cataract after repeated exposure to ultraviolet radiation in rats. Exp Eye Res. 2007;84:200–8. doi: 10.1016/j.exer.2006.09.017. [DOI] [PubMed] [Google Scholar]
  • 54.Simpanya MF, Ansari RR, Leverenz V, et al. Measurement of lens protein aggregation in vivo using dynamic light scattering in a guinea pig/UVA model for nuclear cataract. Photochem Photobiol. 2008;84:1589–95. doi: 10.1111/j.1751-1097.2008.00390.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Fatma N, Kubo E, Sharma P, et al. Impaired homeostasis and phenotypic abnormalities in Prdx6−/− mice lens epithelial cells by reactive oxygen species: increased expression and activation of TGFβ. Cell Death Differ. 2005;12:734–50. doi: 10.1038/sj.cdd.4401597. [DOI] [PubMed] [Google Scholar]
  • 56.Wood ZA, Poole LB, Karplus PA. Peroxiredoxin evolution and the regulation of hydrogen peroxide signaling. Science. 2003;300:650–3. doi: 10.1126/science.1080405. [DOI] [PubMed] [Google Scholar]
  • 57.Wood ZA, Schroder E, Robin Harris J, et al. Structure, mechanism and regulation of peroxiredoxins. Trends Biochem Sci. 2003;28:32–40. doi: 10.1016/s0968-0004(02)00003-8. [DOI] [PubMed] [Google Scholar]
  • 58.Manevich Y, Sweitzer T, Pak JH, et al. 1-Cys peroxiredoxin overexpression protects cells against phospholipid peroxidation-mediated membrane damage. Proc Natl Acad Sci U S A. 2002;99:11599–604. doi: 10.1073/pnas.182384499. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Kubo E, Miyazawa T, Fatma N, et al. Development- and age-associated expression pattern of peroxiredoxin 6, and its regulation in murine ocular lens. Mech Ageing Dev. 2006;127:249–56. doi: 10.1016/j.mad.2005.10.003. [DOI] [PubMed] [Google Scholar]
  • 60.Kubo E, Fatma N, Akagi Y, et al. TAT-mediated PRDX6 protein transduction protects against eye lens epithelial cell death and delays lens opacity. Am J Physiol Cell Physiol. 2008;294 doi: 10.1152/ajpcell.00540.2007. C842–55. [DOI] [PubMed] [Google Scholar]
  • 61.Hasanova N, Kubo E, Kumamoto Y, et al. Age-related cataracts and Prdx 6: correlation between severity of lens opacity, age, and the level of Prdx 6 expression. Br J Ophthalmol. 2009;93:1081–4. doi: 10.1136/bjo.2008.152272. [DOI] [PubMed] [Google Scholar]
  • 62.Kubo E, Hasanova N, Tanaka Y, et al. Protein expression profiling of lens epithelial cells from Prdx6-depleted mice and their vulnerability to UV radiation exposure. Am J Physiol Cell Physiol. 2010;298 doi: 10.1152/ajpcell.00336.2009. C342–54. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Minamoto A, Neriishi K, Nakashima E. UV radiation may explain intercity difference for cataract in A-bomb survivors. J Photochem Photobiol B. 2011;103:105–10. doi: 10.1016/j.jphotobiol.2011.02.001. [DOI] [PubMed] [Google Scholar]
  • 64.Sasaki H, Lin LR, Yokoyama T, et al. TEMPOL protects against lens DNA strand breaks and cataract in the x-rayed rabbit. Invest Ophthalmol Vis Sci. 1998;39:544–52. [PubMed] [Google Scholar]
  • 65.Karslioglu I, Ertekin MV, Kocer I, et al. Protective role of intramuscularly administered vitamin E on the levels of lipid peroxidation and the activities of antioxidant enzymes in the lens of rats made cataractous with gamma-irradiation. Eur J Ophthalmol. 2004;14:478–85. [PubMed] [Google Scholar]
  • 66.Bloemendal H, de Jong, Jaenicke R, et al. Ageing and vision: structure, stability and function of lens crystallins. Prog Biophys Mol Biol. 2004;86:407–85. doi: 10.1016/j.pbiomolbio.2003.11.012. [DOI] [PubMed] [Google Scholar]
  • 67.Fujii N. D-amino acids in living higher organisms. Orig Life Evol Biosph. 2002;32:103–27. doi: 10.1023/a:1016031014871. [DOI] [PubMed] [Google Scholar]
  • 68.Fujii N, Kawaguchi T, Sasaki H, et al. Simultaneous stereoinversion and isomerization at the Asp-4 residue in βB2-crystallin from the aged human eye lenses. Biochemistry. 2011;50:8628–35. doi: 10.1021/bi200983g. [DOI] [PubMed] [Google Scholar]
  • 69.Sharma KK, Santhoshkumar P. Lens aging: effects of crystallins. Biochim Biophys Acta. 2009;1790:1095–108. doi: 10.1016/j.bbagen.2009.05.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70.Fujii N, Hiroki K, Matusmoto S, et al. Correlation between loss of chaperone-like activity and oxidation, isomerization and racemization of gamma-irradiated alpha-crystallin. Photochem Photobiol. 2001;74:477–82. doi: 10.1562/0031-8655(2001)074<0477:cbtlot>2.0.co;2. [DOI] [PubMed] [Google Scholar]
  • 71.Fujii N, Nakamura T, Sadakane Y, et al. Differential susceptibility of αA- and αB-crystallin to γ-ray irradiation. Biochim Biophys Acta. 2007;1774:345–50. doi: 10.1016/j.bbapap.2006.12.001. [DOI] [PubMed] [Google Scholar]
  • 72.Fujii N, Momose Y, Ishibashi Y, et al. The specific racemization and isomerization of the Asp residue of αA-crystallin due to UV-B irradiation. Exp Eye Res. 1997;65:99–104. doi: 10.1006/exer.1997.0315. [DOI] [PubMed] [Google Scholar]
  • 73.Fujii N, Sakaue H, Sasaki H, et al. A rapid comprehensive liquid chromatography-mass spectrometry (LC-MS)-based survey of the Asp isomers in crystallins from human cataract lenses. J Biol Chem. 2012;287:39992–40002. doi: 10.1074/jbc.M112.399972. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74.Hamada N. Recent insights into the biological action of heavy-ion radiation. J Radiat Res. 2009;50:1–9. doi: 10.1269/jrr.08070. [DOI] [PubMed] [Google Scholar]
  • 75.Hamada N, Imaoka T, Masunaga S, et al. Recent advances in the biology of heavy-ion cancer therapy. J Radiat Res. 2010;51:365–83. doi: 10.1269/jrr.09137. [DOI] [PubMed] [Google Scholar]
  • 76.ICRP. Oxford: Pergamon Press; 1964. Recommendations of the International Commission on Radiological Protection. ICRP Publication 6. [Google Scholar]
  • 77.ICRP. Recommendations of the International Commission on Radiological Protection. ICRP Publication 26. Ann ICRP. 1977;1(3) [PubMed] [Google Scholar]
  • 78.Otake M, Schull WJ. Radiation-related posterior lenticular opacities in Hiroshima and Nagasaki atomic bomb survivors based on the DS86 dosimetry system. Radiat Res. 1990;121:3–13. [PubMed] [Google Scholar]
  • 79.Worgul BV, Medvedovsky C, Huang Y, et al. Quantitative assessment of the cataractogenic potential of very low doses of neutrons. Radiat Res. 1996;145:343–9. [PubMed] [Google Scholar]
  • 80.Brenner DJ, Medvedovsky C, Huang Y, et al. Accelerated heavy particles and the lens. VIII. Comparisons between the effects of acute low doses of iron ions (190 keV/µm) and argon ions (88 keV/µm) Radiat Res. 1993;133:198–203. [PubMed] [Google Scholar]
  • 81.ICRP. Low-dose extrapolation of radiation-related cancer risk. ICRP Publication 99. Ann ICRP. 2005;35(4) doi: 10.1016/j.icrp.2005.11.002. [DOI] [PubMed] [Google Scholar]
  • 82.Fujimichi Y, Kosako T, Yoshida K, et al. The scientific basis of a threshold dose for radiation cataract and its underlying issues. Jpn J Health Phys. 2013;48(97–103) (in Japanese with English title, abstract and table) [Google Scholar]
  • 83.Hall AB, Thompson JR, Deane JS, et al. LOCS III versus the Oxford Clinical Cataract Classification and Grading System for the assessment of nuclear, cortical and posterior subcapsular cataract. Ophthalmic Epidemiol. 1997;4:179–94. doi: 10.3109/09286589709059192. [DOI] [PubMed] [Google Scholar]
  • 84.Wong WL, Li X, Li J, et al. Cataract conversion assessment using lens opacity classification system III and Wisconsin cataract grading system. Invest Ophthalmol Vis Sci. 2013;54:280–7. doi: 10.1167/iovs.12-10657. [DOI] [PubMed] [Google Scholar]
  • 85.Fujimichi Y, Kosako T, Yoshida K, et al. Issues behind radiation protection of the ocular lens based on new dose limit. Jpn J Health Phys. 2013;48(86–96) (in Japanese with English title, abstract and table) [Google Scholar]
  • 86.Clement C. New dose limit for lens of the eye. ICRP, Vienna, 2012. http://gnssn.iaea.org/RTWS/general/Shared%20Documents/Radiation%20Protection/TM%20on%20the%20New%20Dose%20Limit%20to%20the%20Lens%20of%20the%20Eye/07.%20Clement%20-%20ICRP.pdf. (2 Apr 2014, date last accessed) [Google Scholar]
  • 87.Sato H, Mori K, Fujisaku K, et al. Development of EGS5 Monte Carlo toolkit for estimation of dose distribution in X-ray diagnostic room. Jap J Med Phys. 2010;30(25–38) (in Japanese with English title and abstract) [Google Scholar]
  • 88.Streeten BW, Eshaghian J. Human posterior subcapsular cataract. A gross and flat preparation study. Arch Ophthalmol. 1978;96:1653–8. doi: 10.1001/archopht.1978.03910060279020. [DOI] [PubMed] [Google Scholar]
  • 89.Eshaghian J, Streeten BW. Human posterior subcapsular cataract. An ultrastructural study of the posteriorly migrating cells. Arch Ophthalmol. 1980;98:134–43. doi: 10.1001/archopht.1980.01020030136016. [DOI] [PubMed] [Google Scholar]
  • 90.Von Sallmann L, Munoz CM, Drungis A. Effects of β irradiation on the rabbit lens. Arch Ophthalmol. 1953;50:727–36. doi: 10.1001/archopht.1953.00920030738008. [DOI] [PubMed] [Google Scholar]
  • 91.Von Sallmann L, Tobias CA, Anger HO, et al. Effects of high-energy particles, X-rays, and aging on lens epithelium. Arch Ophthalmol. 1955;54:489–514. doi: 10.1001/archopht.1955.00930020495003. [DOI] [PubMed] [Google Scholar]
  • 92.Salazar JJ, Gallego-Pinazo R, de Hoz R, et al. “Super p53” mice display retinal astroglial changes. PLoS One. 2013;8 doi: 10.1371/journal.pone.0065446. e65446. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 93.Worgul BV, Merriam GR, Jr, Medvedovsky C. Accelerated heavy particles and the lens II. Cytopathological changes. Invest Ophthalmol Vis Sci. 1986;27:108–14. [PubMed] [Google Scholar]
  • 94.Cui X, Wang L, Zhang J, et al. HSF4 regulates DLAD expression and promotes lens de-nucleation. Biochim Biophys Acta. 2013;1832:1167–72. doi: 10.1016/j.bbadis.2013.03.007. [DOI] [PubMed] [Google Scholar]
  • 95.Abdelkawi S. Lens crystallin response to whole body irradiation with single and fractionated doses of γ radiation. Int J Radiat Biol. 2012;88:600–6. doi: 10.3109/09553002.2012.695097. [DOI] [PubMed] [Google Scholar]
  • 96.Goldstein LE, Muffat JA, Cherny RA, et al. Cytosolic β-amyloid deposition and supranuclear cataracts in lenses from people with Alzheimer's disease. Lancet. 2003;361:1258–65. doi: 10.1016/S0140-6736(03)12981-9. [DOI] [PubMed] [Google Scholar]
  • 97.Nagai N, Ito Y. Excessive hydrogen peroxide enhances the attachment of amyloid β1-42 in the lens epithelium of UPL rats, a hereditary model for cataracts. Toxicology. 2014;315:55–64. doi: 10.1016/j.tox.2013.08.003. [DOI] [PubMed] [Google Scholar]
  • 98.Cherry JD, Liu B, Frost JL, et al. Galactic cosmic radiation leads to cognitive impairment and increased Aβ plaque accumulation in a mouse model of Alzheimer's disease. PLOS ONE. 2012;7 doi: 10.1371/journal.pone.0053275. e53275. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 99.Wang B, Tanaka K, Ji B, et al. Total body 100-mGy X-irradiation does not induce Alzheimer's disease-like pathogenesis or memory impairment in mice. J Radiat Res. 2013;55:84–96. doi: 10.1093/jrr/rrt096. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 100.Leinfelder PJ, Riley EF. Further studies of effects of X-radiation on partially shielded lens of rabbit. Arch Ophthalmol. 1956;55:84–6. doi: 10.1001/archopht.1956.00930030086012. [DOI] [PubMed] [Google Scholar]
  • 101.Merriam GR, Jr, Focht EF. A clinical and experimental study of the effect of single and divided doses of radiation on cataract production. Trans Am Ophthalmol Soc. 1962;60:35–52. [PMC free article] [PubMed] [Google Scholar]
  • 102.Adrien Shun-Shin G, Brown NP, et al. Dynamic nature of posterior subcapsular cataract. Br J Ophthalmol. 1989;73:522–7. doi: 10.1136/bjo.73.7.522. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 103.Tan AG, Mitchell P, Rochtchina E, et al. Lens retrodots and vacuoles and their associations with the prevalence and incidence of age-related cataract. Eye. 2012;26:568–75. doi: 10.1038/eye.2011.349. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 104.Nagai N, Ito Y. Adverse effects of excessive nitric oxide on cytochrome c oxidase in lenses of hereditary cataract UPL rats. Toxicology. 2007;242:7–15. doi: 10.1016/j.tox.2007.09.002. [DOI] [PubMed] [Google Scholar]
  • 105.Agarwal R, Iezhitsa I, Agarwal P, et al. Magnesium deficiency: does it have a role to play in cataractogenesis? Exp Eye Res. 2012;101:82–9. doi: 10.1016/j.exer.2012.05.008. [DOI] [PubMed] [Google Scholar]
  • 106.Fujiwara S, Sposto R, Shiraki M, et al. Levels of parathyroid hormone and calcitonin in serum among atomic bomb survivors. Radiat Res. 1994;137:96–103. [PubMed] [Google Scholar]
  • 107.Matsumoto H, Tomita M, Otsuka K, et al. Nitric oxide is a key molecule serving as a bridge between radiation-induced bystander and adaptive responses. Curr Mol Pharmacol. 2011;4:126–34. doi: 10.2174/1874467211104020126. [DOI] [PubMed] [Google Scholar]
  • 108.Neriishi K, Nakashima E, Akahoshi M, et al. Radiation dose and cataract surgery incidence in atomic bomb survivors, 1986–2005. Radiology 2012. 265:167–74. doi: 10.1148/radiol.12111947. [DOI] [PubMed] [Google Scholar]
  • 109.Little MP, Azizova TV, Bazyka D, et al. Systematic review and meta-analysis of circulatory disease from exposure to low-level ionizing radiation and estimates of potential population mortality risks. Environ Health Perspect. 2012;120:1503–11. doi: 10.1289/ehp.1204982. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 110.UNSCEAR. New York: United Nations; 2008. Effects of Ionizing Radiation: UNSCEAR 2006 Report to the General Assembly, with scientific annexes. [Google Scholar]
  • 111.Pearson TA, Mensah GA, Alexander RW, et al. Markers of inflammation and cardiovascular disease: application to clinical and public health practice: a statement for healthcare professionals from the Centers for Disease Control and Prevention and the American Heart Association. Circulation. 2003;107:499–511. doi: 10.1161/01.cir.0000052939.59093.45. [DOI] [PubMed] [Google Scholar]
  • 112.Kiyohara H, Ishizaki Y, Suzuki Y, et al. Radiation-induced ICAM-1 expression via TGF-β1 pathway on human umbilical vein endothelial cells; comparison between X-ray and carbon-ion beam irradiation. J Radiat Res. 2011;52:287–92. doi: 10.1269/jrr.10061. [DOI] [PubMed] [Google Scholar]
  • 113.Hallahan D, Kuchibhotla J, Wyble C. Cell adhesion molecules mediate radiation-induced leukocyte adhesion to the vascular endothelium. Cancer Res. 1996;56:5150–5. [PubMed] [Google Scholar]
  • 114.Hosoi Y, Miyachi H, Matsumoto Y, et al. Induction of interleukin-1beta and interleukin-6 mRNA by low doses of ionizing radiation in macrophages. Int J Cancer. 2001;96:270–6. doi: 10.1002/ijc.1030. [DOI] [PubMed] [Google Scholar]
  • 115.Arenas M, Gil F, Gironella M, et al. Anti-inflammatory effects of low-dose radiotherapy in an experimental model of systemic inflammation in mice. Int J Radiat Oncol Biol Phys. 2006;66:560–7. doi: 10.1016/j.ijrobp.2006.06.004. [DOI] [PubMed] [Google Scholar]
  • 116.Zhang C, Jin S, Guo W, et al. Attenuation of diabetes-induced cardiac inflammation and pathological remodeling by low-dose radiation. Radiat Res. 2011;175:307–21. doi: 10.1667/RR1950.1. [DOI] [PubMed] [Google Scholar]
  • 117.Minamino T, Komuro I. Vascular cell senescence: contribution to atherosclerosis. Circ Res. 2007;100:15–26. doi: 10.1161/01.RES.0000256837.40544.4a. [DOI] [PubMed] [Google Scholar]
  • 118.Yentrapalli R, Azimzadeh O, Barjaktarovic Z, et al. Quantitative proteomic analysis reveals induction of premature senescence in human umbilical vein endothelial cells exposed to chronic low-dose rate gamma radiation. Proteomics. 2013;13:1096–107. doi: 10.1002/pmic.201200463. [DOI] [PubMed] [Google Scholar]
  • 119.Campisi J. The biology of replicative senescence. Eur J Cancer. 1997;33:703–9. doi: 10.1016/S0959-8049(96)00058-5. [DOI] [PubMed] [Google Scholar]
  • 120.Bringold F, Serrano M. Tumor suppressors and oncogenes in cellular senescence. Exp Gerontol. 2000;35:317–29. doi: 10.1016/s0531-5565(00)00083-8. [DOI] [PubMed] [Google Scholar]
  • 121.Dimri GP, Lee X, Basile G, et al. A biomarker that identifies senescent human cells in culture and in aging skin in vivo. Proc Natl Acad Sci U S A. 1995;92:9363–7. doi: 10.1073/pnas.92.20.9363. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 122.Kumazaki T, Kobayashi M, Mitsui Y. Enhanced expression of fibronectin during in vivo cellular aging of human vascular endothelial cells and skin fibroblasts. Exp Cell Res. 1993;205:396–402. doi: 10.1006/excr.1993.1103. [DOI] [PubMed] [Google Scholar]
  • 123.Burrig KF. The endothelium of advanced arteriosclerotic plaques in humans. Arterioscler Thromb. 1991;11:1678–89. [PubMed] [Google Scholar]
  • 124.Fenton M, Barker S, Kurz DJ, et al. Cellular senescence after single and repeated balloon catheter denudations of rabbit carotid arteries. Arterioscler Thromb Vasc Biol. 2001;21:220–6. doi: 10.1161/01.atv.21.2.220. [DOI] [PubMed] [Google Scholar]
  • 125.Minamino T, Miyauchi H, Yoshida T, et al. Endothelial cell senescence in human atherosclerosis: role of telomere in endothelial dysfunction. Circulation. 2002;105:1541–4. doi: 10.1161/01.cir.0000013836.85741.17. [DOI] [PubMed] [Google Scholar]
  • 126.Minamino T, Yoshida T, Tateno K, et al. Ras induces vascular smooth muscle cell senescence and inflammation in human atherosclerosis. Circulation. 2003;108:2264–9. doi: 10.1161/01.CIR.0000093274.82929.22. [DOI] [PubMed] [Google Scholar]
  • 127.Vanhoutte PM. Endothelial dysfunction: the first step toward coronary arteriosclerosis. Circ J. 2009;73:595–601. doi: 10.1253/circj.cj-08-1169. [DOI] [PubMed] [Google Scholar]
  • 128.Blasco MA. Telomeres and human disease: ageing, cancer and beyond. Nat Rev Genet. 2005;6:611–22. doi: 10.1038/nrg1656. [DOI] [PubMed] [Google Scholar]
  • 129.Herbig U, Jobling WA, Chen BP, et al. Telomere shortening triggers senescence of human cells through a pathway involving ATM, p53, and p21CIP1, but not p16INK4a. Mol Cell. 2004;14:501–13. doi: 10.1016/s1097-2765(04)00256-4. [DOI] [PubMed] [Google Scholar]
  • 130.Chang E, Harley CB. Telomere length and replicative aging in human vascular tissues. Proc Natl Acad Sci U S A. 1995;92:11190–4. doi: 10.1073/pnas.92.24.11190. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 131.Ogami M, Ikura Y, Ohsawa M, et al. Telomere shortening in human coronary artery diseases. Arterioscler Thromb Vasc Biol. 2004;24:546–50. doi: 10.1161/01.ATV.0000117200.46938.e7. [DOI] [PubMed] [Google Scholar]
  • 132.Voghel G, Thorin-Trescases N, Farhat N, et al. Cellular senescence in endothelial cells from atherosclerotic patients is accelerated by oxidative stress associated with cardiovascular risk factors. Mech Ageing Dev. 2007;128:662–71. doi: 10.1016/j.mad.2007.09.006. [DOI] [PubMed] [Google Scholar]
  • 133.Hotamisligil GS. Inflammation and metabolic disorders. Nature. 2006;444:860–7. doi: 10.1038/nature05485. [DOI] [PubMed] [Google Scholar]
  • 134.Furuhashi M, Hotamisligil GS. Fatty acid-binding proteins: role in metabolic diseases and potential as drug targets. Nat Rev Drug Discov. 2008;7:489–503. doi: 10.1038/nrd2589. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 135.Furuhashi M, Ishimura S, Ota H, et al. Lipid chaperones and metabolic inflammation. Int J Inflam. 2011;2011:642612. doi: 10.4061/2011/642612. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 136.Nakamura T, Furuhashi M, Li P, et al. Double-stranded RNA-dependent protein kinase links pathogen sensing with stress and metabolic homeostasis. Cell. 2010;140:338–48. doi: 10.1016/j.cell.2010.01.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 137.Walter P, Ron D. The unfolded protein response: from stress pathway to homeostatic regulation. Science. 2011;334:1081–6. doi: 10.1126/science.1209038. [DOI] [PubMed] [Google Scholar]
  • 138.Hu P, Han Z, Couvillon AD, et al. Autocrine tumor necrosis factor α links endoplasmic reticulum stress to the membrane death receptor pathway through IRE1α-mediated NF-κB activation and down-regulation of TRAF2 expression. Mol Cell Biol. 2006;26:3071–84. doi: 10.1128/MCB.26.8.3071-3084.2006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 139.Urano F, Wang X, Bertolotti A, et al. Coupling of stress in the ER to activation of JNK protein kinases by transmembrane protein kinase IRE1. Science. 2000;287:664–6. doi: 10.1126/science.287.5453.664. [DOI] [PubMed] [Google Scholar]
  • 140.Jiang HY, Wek SA, McGrath BC, et al. Phosphorylation of the α subunit of eukaryotic initiation factor 2 is required for activation of NF-κB in response to diverse cellular stresses. Mol Cell Biol. 2003;23:5651–63. doi: 10.1128/MCB.23.16.5651-5663.2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 141.Ozcan U, Cao Q, Yilmaz E, et al. Endoplasmic reticulum stress links obesity, insulin action, and type 2 diabetes. Science. 2004;306:457–61. doi: 10.1126/science.1103160. [DOI] [PubMed] [Google Scholar]
  • 142.Nakamura T, Arduini A, Baccaro B, et al. Small molecule inhibitors of PKR improve glucose homeostasis in obese, diabetic mice. Diabetes. 2014;63:526–34. doi: 10.2337/db13-1019. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 143.Nakatani Y, Kaneto H, Kawamori D, et al. Involvement of endoplasmic reticulum stress in insulin resistance and diabetes. J Biol Chem. 2005;280:847–51. doi: 10.1074/jbc.M411860200. [DOI] [PubMed] [Google Scholar]
  • 144.Ozcan U, Yilmaz E, Ozcan L, et al. Chemical chaperones reduce ER stress and restore glucose homeostasis in a mouse model of type 2 diabetes. Science. 2006;313:1137–40. doi: 10.1126/science.1128294. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 145.Tabas I. Macrophage death and defective inflammation resolution in atherosclerosis. Nat Rev Immunol. 2010;10:36–46. doi: 10.1038/nri2675. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 146.Myoishi M, Hao H, Minamino T, et al. Increased endoplasmic reticulum stress in atherosclerotic plaques associated with acute coronary syndrome. Circulation. 2007;116:1226–33. doi: 10.1161/CIRCULATIONAHA.106.682054. [DOI] [PubMed] [Google Scholar]
  • 147.Thorp E, Li G, Seimon TA, et al. Reduced apoptosis and plaque necrosis in advanced atherosclerotic lesions of Apoe−/− and Ldlr−/− mice lacking CHOP. Cell Metab. 2009;9:474–81. doi: 10.1016/j.cmet.2009.03.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 148.Hamamdzic D, Wilensky RL. Porcine models of accelerated coronary atherosclerosis: role of diabetes mellitus and hypercholesterolemia. J Diabetes Res. 2013;2013:761415. doi: 10.1155/2013/761415. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 149.UNSCEAR. New York: United Nations, 2000; Sources and Effects of Ionizing Radiation: UNSCEAR 2000 Report to the General Assembly, with scientific annexes. [Google Scholar]
  • 150.Okada S, Ono K, Hamada N, et al. A low-pH culture condition enhances the radio-sensitizing effect of wortmannin. Int J Radiat Oncol Biol Phys. 2001;49:1149–56. doi: 10.1016/s0360-3016(00)01429-2. [DOI] [PubMed] [Google Scholar]
  • 151.Klein AM, Nakagawa T, Ichikawa R, et al. Mouse germ line stem cells undergo rapid and stochastic turnover. Cell Stem Cell. 2010;7:214–24. doi: 10.1016/j.stem.2010.05.017. [DOI] [PubMed] [Google Scholar]
  • 152.Jinno-Oue A, Shimizu N, Hamada N, et al. Irradiation with carbon ion beams induces apoptosis, autophagy, and cellular senescence in a human glioma-derived cell line. Int J Radiat Oncol Biol Phys. 2010;76:229–41. doi: 10.1016/j.ijrobp.2009.08.054. [DOI] [PubMed] [Google Scholar]
  • 153.Yentrapalli R, Azimzadeh O, Sriharshan A, et al. The PI3K/Akt/mTOR pathway is implicated in the premature senescence of primary human endothelial cells exposed to chronic radiation. PLoS One. 2013;8 doi: 10.1371/journal.pone.0070024. e70024. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 154.Nakamura S, Tanaka IB, 3rd, Tanaka S, et al. Adiposity in female B6C3F1 mice continuously irradiated with low-dose-rate gamma rays. Radiat Res. 2010;173:333–41. doi: 10.1667/RR1962.1. [DOI] [PubMed] [Google Scholar]
  • 155.Adams MJ, Grant EJ, Kodama K, et al. Radiation dose associated with renal failure mortality: a potential pathway to partially explain increased cardiovascular disease mortality observed after whole-body irradiation. Radiat Res. 2012;177:220–8. doi: 10.1667/rr2746.1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 156.Lenarczyk M, Lam V, Jensen E, et al. Cardiac injury after 10 Gy total body irradiation: indirect role of effects on abdominal organs. Radiat Res. 2013;180:247–58. doi: 10.1667/RR3292.1. [DOI] [PMC free article] [PubMed] [Google Scholar]

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