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Biomedical subjects

K Sankaranarayanan

Publications and source records attributed to K Sankaranarayanan.

At least 37 records · Page 2Linked to original sources
PubMed1999

In vivo and in vitro radioprotective effects of the prostaglandin E1 analogue misoprostol in DNA repair-proficient and -deficient rodent cell systems.

The radioprotective effect of a stable prostaglandin E(1) analogue, misoprostol, was studied in cells from mice with severe combined immunodeficiency (SCID) and in normal cells using X-ray-induced chromosomal aberrations and/or cell killing as the end points. The results clearly show misoprostol-induced radioprotective effects in spermatocytes of the first meiotic division when analyzed for X-ray-induced chromosomal aberrations. The protective effect was independent of Trp53 (formerly known as p53) status. Since spermatocytes are relatively easy to isolate, this appears to be a suitable in vivo model that will allow biochemical studies of the mechanisms involved in radioprotection mediated by misoprostol. Using transfected CHO-K1 cells that stably express a PGE(2) receptor (CPE cells), significant radioprotection mediated by misoprostol from both chromosome breakage and cell death could be demonstrated under in vitro conditions. In addition, evidence was obtained indicating that the degree of radioprotection was dependent on the cell cycle and that S-phase cells were less responsive to misoprostol-mediated radioprotection. These results suggest that CPE cells may be a suitable in vitro model for further studies on the cellular pathways involved in radioprotection by misoprostol in particular and prostaglandins in general.

Animals↗
PubMed1998

Ionizing radiation and genetic risks. VIII. The concept of mutation component and its use in risk estimation for multifactorial diseases.

Multifactorial diseases, which include the common congenital abnormalities (incidence: 6%) and chronic diseases with onset predominantly in adults (population prevalence: 65%), contribute substantially to human morbidity and mortality. Their transmission patterns do not conform to Mendelian expectations. The model most frequently used to explain their inheritance and to estimate risks to relatives is a Multifactorial Threshold Model (MTM) of disease liability. The MTM assumes that: (i) the disease is due to the joint action of a large number of genetic and environmental factors, each of which contributing a small amount of liability, (ii) the distribution of liability in the population is Gaussian and (iii) individuals whose liability exceeds a certain threshold value are affected by the disease. For most of these diseases, the number of genes involved or the environmental factors are not fully known. In the context of radiation exposures of the population, the question of the extent to which induced mutations will cause an increase in the frequencies of these diseases has remained unanswered. In this paper, we address this problem by using a modified version of MTM which incorporates mutation and selection as two additional parameters. The model assumes a finite number of gene loci and threshold of liability (hence, the designation, Finite-Locus Threshold Model or FLTM). The FLTM permits one to examine the relationship between broad-sense heritability of disease liability and mutation component (MC), the responsiveness of the disease to a change in mutation rate. Through the use of a computer program (in which mutation rate, selection, threshold, recombination rate and environmental variance are input parameters and MC and heritability of liability are output estimates), we studied the MC-heritability relationship for (i) a permanent increase in mutation rate (e.g., when the population sustains radiation exposure in every generation) and (ii) a one-time increase in mutation rate. Our investigation shows that, for a permanent increase in mutation rate of 15%, MC in the first few generations is of the order of 1-2%. This conclusion holds over a broad range of heritability values above about 30%. At equilibrium, however, MC reaches 100%. For a one-time increase in mutation rate, MC reaches its maximum value (of 1-2%) in the first generation, followed by a decline to zero in subsequent generations. These conclusions hold for so many combinations of parameter values (i.e., threshold, selection coefficient, number of loci, environmental variance, spontaneous mutation rate, increases in mutation rate, levels of 'interaction' between genes and recombination rates) that it can be considered to be relatively robust. We also investigated the biological validity of the FLTM in terms of the minimum number of loci, their mutation rates and selection coefficients needed to explain the incidence of multifactorial diseases using the theory of genetic loads. We argue that for common multifactorial diseases, selection coefficients are small in present-day human populations. Consequently, with mutation rates of the order known for Mendelian genes, the FLTM with a few loci and weak selection provides a good approximation for studying the responsiveness of multifactorial diseases to radiation exposures.

Adult↗
PubMed1998

Ionizing radiation and genetic risks. VII. The concept of mutation component and its use in risk estimation for Mendelian diseases.

The responsiveness of Mendelian diseases to an increase in the mutation rate is studied by using the concept of the mutation component (MC) of genetic diseases. Algebraic expressions to evaluate MC at any specific generation following either a one-time or a permanent increase in mutation rate are derived and are illustrated with numerical examples. For a one-time increase in mutation rate, the analysis shows that the first generation MC for autosomal dominant diseases is equal to the selection coefficient; this is also true for X-linked diseases (adjusted for the proportion of X-chromosomes in males). For autosomal recessive diseases the first generation MC is substantially smaller than that for autosomal dominants. In subsequent generations MC gradually decays to zero. Under conditions of a permanent increase in the mutation rate, the MC for autosomal dominant, X-linked and completely recessive autosomal disorders progressively increases to reach a value of one at the new equilibrium. For incompletely recessive autosomal disorders, however, the MC at equilibrium can be larger than one. The rates of approach to the new equilibrium are different for the different classes of diseases, dictated by selection and time (in generations) following radiation exposure. The effects of increases in mutation rate on MC are more pronounced for autosomal dominants, followed by X-linked and are far less for autosomal recessives. Even for autosomal dominants, the early generation effects of radiation exposures would not be appreciable unless the heterozygotes have a severely reduced fitness.

Animals↗
PubMed1998

Ionizing radiation and genetic risks IX. Estimates of the frequencies of mendelian diseases and spontaneous mutation rates in human populations: a 1998 perspective.

This paper is focused on baseline frequencies of mendelian diseases and the conceptual basis for calculating doubling doses both of which are relevant for the doubling dose method of estimating genetic risks of exposure of human populations to ionizing radiation. With this method, the risk per unit dose is obtained as a product of three quantities, namely, the baseline frequency of the disease class under consideration, the relative mutation risk (which is the reciprocal of the doubling dose, which in turn, is calculated as a ratio of spontaneous and induction rates of mutations) and mutation component, i.e., the responsiveness of the disease class to an increase in mutation rate. The estimates of baseline frequencies of mendelian diseases that are currently used in risk estimation date back to the late 1970s. Advances in human genetics during the past two decades now permit an upward revision of these estimates. The revised estimates are 150 per 10(4) livebirths for autosomal dominants (from the earlier estimate of 95 per 10(4)), 75 per 10(4) livebirths for autosomal recessives (from 25 per 10(4)) and to 15 per 10(4) livebirths for X-linked diseases (from 5 per 10(4)). The revised total frequency of mendelian diseases is thus 240 per 10(4) livebirths and is about twice the earlier figure of 125 per 10(4) livebirths. All these estimates, however, pertain primarily to Western European and Western European-derived populations. The fact that in several population isolates or ethnic groups, some of these diseases (especially the autosomal recessives) are more common as a result of founder effects and/or genetic drift is well known and many more recent examples have come to light. These data are reviewed and illustrated with data from studies of the Ashkenazi Jewish, Finnish, French Canadian, Afrikaner and some other populations to highlight the need for caution in extrapolating radiation risks between populations. The doubling dose of 1 Gy that has been used for the past 20 years for risk estimation is based on mouse data for both spontaneous and induction rates of mutations. In extrapolating the mouse-data-based doubling dose to humans, it is assumed that the spontaneous rates in mice and humans are similar. This assumption is incorrect because of the fact that in humans, for several well-studied mendelian diseases, the mutation rate differs between the two sexes and it increases with paternal age. In estimates of spontaneous mutation rates in humans (which represent averages over both sexes), however, paternal age effects are automatically incorporated. In the mouse, these effects are expected to be much less (if they exist at all), but the problem has not been specifically addressed. The complexities and uncertainties associated with assessing the potential impact of spontaneous mutations which arise as germinal mosaics (and which can result in clusters of mutations in the following generation) on mutation rate estimates (in the mouse) and on mutation rate estimates and disease frequencies (in humans) are discussed. In view of (i) the lack of comparability of spontaneous mutation rates in mice and humans and (ii) the fact that these estimates for human genes already include both paternal age effects and correction for clusters (if they had occurred), it is suggested that a prudent procedure now is to base doubling dose calculations on spontaneous mutation rates of human genes (and induction rates of mouse genes, in the absence of a better alternative). This concept, however, is not new and was used by the US National Academy's Committee on the Biological Effects of Ionizing Radiation in its 1972 report.

Genetic Diseases, Inborn↗
PubMed1998

Mutations in the BRCA1 gene: implications of inter-population differences for predicting the risk of radiation-induced breast cancers.

The effects of cancer predisposition and increased tumorigenic radiosensitivity of the predisposed genotypes on radiation cancer risks (in the general population and in sisters and first cousins of affected probands) are studied using an autosomal dominant model of cancer predisposition and radiosensitivity. The model assumes that the predisposing alleles, which confer enhanced tumorigenic radiosensitivity, are incompletely penetrant. In addition, the model also allows for sporadic cancers, unrelated to the predisposing locus. The predictions of the model are illustrated using current estimates of BRCA1 mutant gene frequencies; the estimates of the strength of predisposition and radiosensitivity differentials used are based on animal and human studies. It is shown that, unless both the strength of predisposition and radiosensitivity differential are large (say, > 100-fold in comparison with normal homozygotes), (i) the effect of risk heterogeneity on cancer risk is marginal; (ii) dose-dependent radiation effect remains virtually the same as in a homogeneous irradiated population that has no predisposed subgroups; (iii) for the same radiation dose, relatives of affected probands show an enhancement of cancer risks; and (iv) most extra cancers in relatives can be attributed to radiosensitivity differentials. This simple model can give an upper bound of the effect of risk heterogeneity on radiation-induced breast cancer risks even when the cumulative breast cancer risk is age-dependent. Further, our model predicts that the benefits of mammography outweigh the risks.

BRCA1 Protein↗
PubMed1998

Cancer predisposition, radiosensitivity and the risk of radiation-induced cancers. IV. Prediction of risks in relatives of cancer-predisposed individuals.

Individuals carrying cancer-predisposing germline mutations are known to be at a higher risk for cancers than those who do not carry them. This is also true of their biological relatives because they have a higher probability of being carriers of such mutant genes than unrelated individuals in the population. Further, there are now sufficient grounds for assuming that cancer-predisposed individuals may also be at a higher risk for cancers induced by ionizing radiation. In our earlier work, we examined the impact of this heterogeneity (with respect to cancer predisposition and radiosensitivity differentials) on risks of radiation-induced cancer at the population level. This paper is focused on the question of risks of radiation-induced cancer in relatives of cancer-predisposed individuals. Using an autosomal dominant model of cancer predisposition and radiosensitivity developed earlier and applying it to breast cancer risks associated with mutations in the BRCA1 gene, we show that: (1) The risk ratio (i.e. the ratio of risk of radiation-induced cancer in relatives to that in unrelated individuals) in the population increases with the degree of biological relatedness of the relative, being higher for close than for distant relatives; incomplete penetrance of the mutant gene "dilutes" this risk ratio. (2) The proportion of excess radiation-induced cancers in relatives (i.e. the attributable fraction) is higher than in unrelated individuals. (3) In relatives, the proportion of excess cancers due to radiosensitivity differentials alone depends on the strength of predisposition, the radiosensitivity differentials assumed, the radiation dose, the proportion of cancers due to predisposition, the mutant gene frequency and the penetrance of the mutant gene. This is in contrast to the situation for unrelated individuals, for whom the above-mentioned proportion is dependent on the first three but not on the last three of these factors. Further, even when the proportion of excess cancers is small, most of it is due to radiosensitivity differential alone both in unrelated individuals and in relatives. (4) For values of predisposition strength and radiosensitivity differential <10, even when the estimated frequency of a mutant BRCA1 gene is 0.0047 and the proportion of breast cancers due to these mutations is 38% (as is the case for Ashkenazi Jewish women under age 30), the increase in breast cancer risks is only marginal even for first-degree relatives. (5) These findings support the conclusion that increases in radiation risks to relatives (compared to those in unrelated individuals), to be detectable epidemiologically, will occur only when the mutant alleles are common and the strength of predisposition and radiosensitivity differentials are conjointly dramatic.

Breast Neoplasms↗
PubMed1997

Differential radioprotective effects of misoprostol in DNA repair-proficient and -deficient or radiosensitive cell systems.

The protective effects of misoprostol (MP), an analogue of prostaglandin E1, on X-ray-induced chromosomal aberrations, were studied in normal or mutant Chinese hamster cell lines grown as spheroids in vitro and on cell-killing in stem-cell spermatogonia of a mutant (acid) mouse strain or its wild-type. The mutant hamster cell lines chosen for this purpose are known to be either hypersensitive to the killing effects of X-rays and/or deficient in the repair of DNA double-strand breaks. The scid mice are deficient in the repair of DNA double-strand breaks. The results show that MP manifests varying degrees of radioprotection in all these systems, but the magnitude of these effects in the mutants is markedly reduced compared to their respective wild-type counterparts. These findings suggest a link between ionizing radiation sensitivity, DNA double-strand break repair capability and MP-mediated radioprotection.

Animals↗
PubMed1997

Some reflections on the role of the Scientific Advisory Panel to the Marshall Islands nationwide radiological study.

As a consequence of the U.S. Atomic Weapons Testing Program in the Trust Territory of the Pacific, now the Republic of the Marshall Islands, numerous scientists have advised the Marshallese on matters of radiation and radioactive contamination. Some of the previous advice has appeared to vary or conflict resulting in consequent uncertainty for the people. In a new initiative in 1989, the RMI Government engaged a five member multi-disciplinary Scientific Advisory Panel to oversee the assessment of, and to advise on, the radiological status of the entire nation. The formation of the Panel was accompanied by the establishment of a Resident Scientist position, and ultimately a small scientific team and laboratory on Majuro. The nationwide radiological study was conducted using ground survey methods over the period 1990-1994. Tasks undertaken by the Panel included formulating reasonable objectives for the study and attempting to establish effective communication and understanding of issues with political leaders and RMI Government agencies and people, as well as advising on and monitoring the scientific integrity of the study itself. The attempt was also made to initiate investigations to address matters of concern that emerged. The problem was faced of providing not only technical guidance on radioactivity and radiation measurements, but also explaining the significance of measured values and concepts, such as risk and probability of health effects to a diverse but nontechnical audience, generally across cultural and language barriers. The experience of the Panel in providing advice and guidance to the Republic of the Marshall Islands, while unique in many ways, parallels the difficulties experienced elsewhere in communicating information about risks from radiation exposure.

Humans↗
PubMed1997

Cancer predisposition, radiosensitivity and the risk of radiation-induced cancers. III. Effects of incomplete penetrance and dose-dependent radiosensitivity on cancer risks in populations.

Recent studies have identified a number of genes in the human genome at which germinal mutations predispose the individuals to one or another type of cancer. These studies also show that not all individuals carrying the mutant genes develop cancers (i.e., the mutant genes are not fully penetrant). At least some of these predisposed genotypes also have a higher sensitivity to cancers induced by ionizing radiation than those who are not so predisposed, which may be dependent on dose. This paper presents an analysis of the impact of such heterogeneity on estimates of cancer risks for an irradiated population. This is done by extending the Mendelian one-locus, two-allele model of cancer predisposition and radiosensitivity developed earlier to allow for incomplete penetrance and dose dependence of radiosensitivity differentials among genotypes. The model is applied to recently published data for breast cancer and hereditary non-polyposis colon cancer using a range of possible values for the strength of predisposition and radiosensitivity differentials. It is shown that, after radiation exposures, the ratio of cancer risks in a heterogeneous population relative to that in a homogeneous population increases with increasing dose, but that the dose dependence of the relative risk diminishes at higher doses. Likewise, the attributable risk (i.e. the proportion of the increase in risk that is due to both increased susceptibility and increased radiosensitivity) and the proportion of attributable risk due to increased radiosensitivity also increase with dose, and the dose dependence of each measurement also diminishes at higher doses. However, when the proportion of cancers due to the susceptible genotypes is small (<10%) (as is likely to be the case for breast cancer in non-Ashkenazi women), the increases in the relative risk and attributable risk are marked only when there are very large increases in cancer susceptibility (>1000-fold) and radiosensitivity (>100-fold) in the susceptible group. When the proportion of cancers due to the susceptible genotypes is appreciable (> or = 10%) (as may be the case for breast cancer in Ashkenazi Jewish women), there may be large increases in the relative risk and attributable risk for comparatively modest increases in cancer susceptibility (>10-fold) and radiosensitivity (>100-fold) in the susceptible subpopulation. For any given combination of strength of predisposition and radiosensitivity differential, incomplete penetrance dilutes the effect.

Breast Neoplasms↗
PubMed1995

Radioprotective effects of prostaglandins for chromosomal aberrations and cell killing in V79 Chinese hamster cells grown as spheroids in vitro and for mouse spermatogonial stem cells and bone marrow cells in vivo.

The radioprotective effects of prostaglandins (PGE2, PGE1 and its analogue misoprostol (MP) were investigated in cultures of V79 Chinese hamster (CHO) cells grown as spheroids and as monolayers, CHO cells grown as monolayers, and in bone marrow polychromatic erythrocytes and spermatogonial stem cells in mouse. The X-ray doses were 0.75 Gy (hamster cells) and 5, 8 and 10 Gy (mouse experiments). Prostaglandin pre-irradiation treatment resulted in a marked reduction in the frequencies of chromosomal aberrations in V79 spheroids and of reciprocal translocations in mouse stem cell spermatogonia. The amount of mouse spermatogonial stem cell killing was likewise significantly reduced. No radioprotective effects of prostaglandins could be demonstrated, however, for chromosomal aberrations in hamster cells grown as monolayers, for survival of V79 cells grown as spheroids, and for the induction of micronuclei in bone marrow polychromatic erythrocytes of mouse.

Alprostadil↗
PubMed1995

Cancer predisposition, radiosensitivity and the risk of radiation-induced cancers. I. Background.

This paper presents an overview of current knowledge on genetic predisposition to cancer and on enhanced sensitivity of cancer-predisposed genotypes to cancers induced by ionizing radiation. It is intended to provide a background and set the stage for the next papers in this series in which we will assess how such heterogeneity (with respect to predisposition to cancer and presence of radiosensitivity genotypes) in a population may affect estimates of the risk of radiation-induced cancers. The main findings and/or conclusions of the present paper are the following: (1) "Cancer-predisposing genes" (i.e. those at which germinal mutations predispose to cancer) are present in the human genome; these genes are responsible not only for the rare familial cancer syndromes but also for a proportion of the common cancers. At least 21 such genes have now been cloned (including 9 tumor suppressor genes, 11 DNA repair genes and 1 proto-oncogene); further, at least 8 putative tumor suppressor genes and a gene involved in ataxia telangiectasia have been localized to specific chromosomes. (2) These genes play crucial roles in the control of cellular proliferation, programmed cell death (apoptosis) and/or one or another DNA repair pathway. Consequently, mutations in these genes are likely to "liberate" the cells from the normal constraints imposed by them, resulting in unconstrained growth characteristic of cancer. (3) At present, the evidence for increased sensitivity of cancer-predisposed genotypes to radiation-induced cancers is limited. However, current knowledge of the known functions of the cancer-predisposing genes and of the consequences of mutations in these provide (a) sufficient grounds for assuming that the genotypes of those predisposed to cancer may be at an increased risk for radiation-induced cancers and (b) the rationale for attempts to estimate quantitatively the impact of genotype-dependent differences in cancer predisposition and radiosensitivity on cancer risks in an irradiated population.

Animals↗
PubMed1995

Cancer predisposition, radiosensitivity and the risk of radiation-induced cancers. II. A Mendelian single-locus model of cancer predisposition and radiosensitivity for predicting cancer risks in populations.

Individuals genetically predisposed to cancer may be more sensitive to cancers induced by ionizing radiation than those who are not so predisposed. Should this be true, under conditions of radiation exposure, a population consisting of cancer-predisposed and non-predisposed individuals will be expected to respond with a higher total frequency of induced cancers than one in which all the individuals are assumed to have the same sensitivity to radiation-induced cancers. To study this problem quantitatively, we have developed a Mendelian autosomal one-locus, two-allele model; this model assumes that one of the alleles is mutant and the genotypes carrying the mutant allele(s) are cancer-predisposed and are also more sensitive to radiation-induced cancer. Formal analytical predictions as well as numerical illustrations of this model show that: (1) when such heterogeneity with respect to cancer predisposition and radiosensitivity is present in the population, irradiation results in a greater increase in the frequency of induced cancers than when it is absent; (2) this increase is detectable only when the proportion of cancers due to genetic predisposition is large and when the degree of predisposition is considerable; and (3) even when the effect is small, most of the radiation-induced cancers will occur in predisposed individuals. These conclusions are valid for models of cancer when predisposition and radiosensitivity may be either dominant or recessive. The published data on breast cancers in Japanese A-bomb survivors show that at 1 Sv, the radiation-related excess relative risk in women irradiated before age 20 is 13 compared to about 2 for those irradiated at later ages. We examined the application of our model to the above data using two assumptions, namely, that the proportion of cancers due to genetic susceptibility at the BRCA1 locus (1/200) and the frequency of the mutant allele (0.0033) estimated for Western populations are valid for Japanese women. With our model, these results can be explained only if there are very large differences in cancer susceptibility (> 1000-fold) and radiosensitivity (> 100-fold) of the heterozygotes.

BRCA1 Protein↗
PubMed1994

International Commission for Protection Against Environmental Mutagens and Carcinogens. Working paper no. 6. Estimation of genetic risks of exposure to chemical mutagens: relevance of data on spontaneous mutations and of experience with ionizing radiation.

This paper examines the impact of advances in knowledge on the molecular biology of human Mendelian diseases on the estimation of genetic risks of exposure to ionizing radiation and to chemical mutagens. More specifically, it addresses the question of whether and to what extent naturally occurring Mendelian diseases can be used as a baseline for efforts in this area. Data on the molecular nature and mechanisms of origin of spontaneous mutations underlying naturally occurring Mendelian diseases and on radiation-induced mutations in experimental systems suggest that for ionizing radiation, naturally occurring Mendelian diseases may not constitute an entirely adequate frame of reference and that current risk estimates for this class of diseases are conservative; these estimates however provide a margin of safety in formulating radiation protection guidelines. Currently available data on mechanisms and specificities of action of chemical mutagens, molecular dosimetry, repair of chemically induced adducts in the DNA, adduct-mutation relationships etc., permit the tentative conclusion that naturally occurring Mendelian diseases may provide a better baseline for genetic risk estimation for chemical mutagens than for ionizing radiation. With both ionizing radiation and chemical mutagens, the question of which Mendelian diseases are potentially inducible will become answerable in the near future when more molecular data on human genetic diseases become available. It is therefore essential that risk estimators keep abreast of advances in human genetics and integrate these into their conceptual framework. However, induced Mendelian diseases (especially the dominant ones which are of more immediate concern) are likely to represent a very small fraction of the adverse genetic effects of induced mutations. More attention therefore needs to be devoted to studies on the heterozygous effects of induced mutations.

Animals↗
PubMed1994

Ionizing radiation and genetic risks. V. Multifactorial diseases: a review of epidemiological and genetic aspects of congenital abnormalities in man and of models on maintenance of quantitative traits in populations.

This paper discusses (a) data on the epidemiological and etiological aspects of human congenital abnormalities, (b) the multifactorial threshold model and other models which have been proposed to explain their inheritance patterns and recurrence risks in families and (c) current concepts on mechanisms on the prevalence of heritable variation for quantitative traits in populations. Congenital abnormalities, which afflict an estimated 6% of all live births, are etiologically heterogeneous. The majority of these do not follow Mendelian transmission patterns, but do 'run' in families. The multifactorial threshold model is an extension of genetic principles developed for quantitative traits to all-or-none traits; in its simplest formulation, it assumes the existence in the population of an underlying normally distributed 'liability' (which is due to numerous genetic and environmental factors acting additively, each contributing a small amount of liability) and of a 'threshold' beyond which the individual is affected. For most congenital abnormalities, the nature of these factors remains unknown. Other models assume fewer causal factors although, again, these remain to be identified. The question of how considerable heritable variation for most quantitative/polygenic traits has come to exist is a long-standing one in evolutionary population genetics. Models postulating that its existence is consistent with a balance between recurrent mutation and stabilizing selection or suggesting the possible operation of other mechanisms have been published in the literature. In the absence of knowledge on mechanisms responsible for the stable prevalences of congenital abnormalities or other multifactorial conditions in the population (but which is required to predict the consequences of an increase in mutation rate on their prevalences) it is necessary (a) to adapt and use concepts derived from quantitative and evolutionary population genetics and (b) to examine how sensitive the predictions are to the assumptions used, and how consistent they are with biological realities.

Abnormalities, Radiation-Induced↗