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Biomedical subjects

K Krishnan

Publications and source records attributed to K Krishnan.

At least 91 records · Page 5Linked to original sources

A mutant form of p135tyk2, an interferon-alpha inducible tyrosine kinase, suppresses the transformed phenotype of Daudi cells.

The type I interferons induce an anti-viral state and suppress cell growth. The p135tyk2 non-receptor tyrosine kinase appears to initiate, at least in part, the type I interferon signal transduction pathway, and thereby activates type I interferon-dependent gene expression. To determine if p135tyk2 can suppress growth and/or tumorigenesis, derivatives of the tyk2 gene were introduced into the tumorigenic cell line Daudi. Transfectants expressing a tyk2 construct missing the carboxy-terminal 22 amino acids cloned with a greatly reduced efficiency in soft agar and displayed a partial decrease in the ability to form tumors in athymic mice. In addition, transfectants producing a kinase deficient version of tyk2 show an increase in both growth rate and agar cloning efficiency, suggesting that the inactive kinase can act in a dominant-negative manner. Surprisingly, the carboxyl-terminal deleted protein lacks both auto-kinase activity, and activity towards a putative substrate, even though it induces a phenotype which is precisely the opposite of that produced by another kinase-deficient tyk2 mutant containing an altered ATP binding site. Thus, while these results add tyk2 to a growing list of interferon-alpha regulated proteins that might be able to suppress tumor formation, the biochemical basis of this activity remains unknown.

Animals↗

Hematotoxic interactions: occurrence, mechanisms and predictability.

The available data on the binary chemical interactions involving hematotoxicants, particularly organic chemicals causing a reduction in either the number of white/red blood cells or the capacity of hemoglobin to transport oxygen, are limited. These observations are limited to investigations in rodents of the enhancement or attenuation of the hematotoxicity of benzene, dichloromethane and dimethylanilines following prior administration of inducers of CYP 2E1 or co-administration of substrates for this isoenzyme. The relevance of these data on interactions for humans exposed at low concentrations can be assessed only when the mechanism of interaction is understood at a quantitative level, and incorporated within a physiological modeling framework. The present study exemplifies the predictability of the magnitude of binary chemical interactions in humans exposed to low concentrations, by developing a physiological model of the modulation by toluene of dichloromethane-induced carboxyhemoglobinemia. Consistent with the basic biochemical principles, this modeling exercise suggests that, with competitive metabolic inhibition mechanism, the threshold for binary chemical interactions will follow a downward trend with increasing number of substrates or structurally-similar substances in a mixture. The use of this kind of mechanistic models, along with data from descriptive chemical interaction studies, will form the very basis of mechanistic risk assessment methods for complex chemical mixtures.

Animals↗

The effects of fear and hunger on food neophobia in humans.

We examined the effects of hunger and fear on food neophobia in humans. Subjects came to the experiment five or more hours food-deprived (high hunger) or two or less hours food-deprived (low hunger) and were assigned either to give a speech (high fear) or to listen to a speech (low fear). All subjects were then given the task of selecting for tasting one member of each of ten pairs of foods, each pair consisting of one novel and one familiar food. The number of novel foods chosen was the measure of food neophobia (with fewer choices indicative of greater neophobia). The results indicated that subjects were least neophobic in the low fear-low hunger condition and were tentatively interpreted in terms of Hull's (1943) theory of behavior. That is, it was assumed that fear and hunger summated to produce different levels of drive in the various conditions, which combined with responses of different habit strength (the tendency to approach novel stimuli and the tendency to approach familiar stimuli) to produce the results obtained.

Adult↗

An algorithm for predicting tissue: blood partition coefficients of organic chemicals from n-octanol: water partition coefficient data.

The objectives of the present study were (1) to develop an algorithm to predict tissue:blood partition coefficients (PCs) of organic chemicals from n-octanol: water (Ko/w) PC data, and (2) to apply this algorithm to predict the rat tissue:blood PCs of some relatively hydrophilic organics, particularly ketones, alcohols, and acetate esters. The algorithm, developed by modifying a previously published one, involved predicting tissue:blood PCs of chemicals by dividing their partitioning into tissues by the sum of their partitioning into erythrocytes and plasma. The partitioning of a chemical into tissues, erythrocytes, and plasma was expressed as an additive function of its partitioning into neutral lipids, phospholipids, and water contained in them. The muscle, liver, and adipose tissue:blood PCs predicted with the present method were compared with the experimental values obtained from the literature for five ketones, eight alcohols, and eight acetate esters. The predicted muscle:blood and liver:blood PCs for the set of 21 hydrophilic organics were within a factor of 1.01 and 0.99 (on an average), respectively, of the experimental values. However, the predicted adipose tissue:blood PCs of the hydrophilic organics were greater than the experimental values by a factor of 4.13, which improved when vegetable oil:saline (Ko/s) PCs were used instead of Ko/w PCs (factor of 1.51). Overall, the use of the present algorithm should enable the prediction of tissue:blood PCs for organic chemicals for which Ko/w or Ko/s data are available.

Acetates↗

Physiologically-based pharmacokinetic modeling of a mixture of toluene and xylene in humans.

A physiologically-based pharmacokinetic (PBPK) model for a mixture of toluene (TOL) and xylene (XYL), developed and validated in the rat, was used to predict the uptake and disposition kinetics of TOL/XYL mixture in humans. This was accomplished by substituting the rat physiological parameters and the blood:air partition coefficient with those of humans, scaling the maximal velocity for hepatic metabolism on the basis of body weight0.75, and keeping all other model parameters species-invariant. The human TOL/XYL mixture PBPK model, developed based on the quantitative biochemical mechanism of interaction elucidated in the rat (i.e., competitive metabolic inhibition), simulated adequately the kinetics of TOL and XYL during combined exposures in humans. The simulations with this PBPK model indicate that an eight hour co-exposure to concentrations that remain within the current threshold limit values of TOL (50 ppm) and XYL (100 ppm) would not result in significant pharmacokinetic interferences, thus implying that data on biological monitoring of worker exposure to these solvents would be unaffected during co-exposures.

Animals↗

Tissue dosimetry, pharmacokinetic modeling, and interspecies scaling factors.

Interspecies scaling factors (ISFs) are numbers used to adjust the potency factor (for example, the q1* for carcinogens or reference doses for compounds eliciting other toxic endpoints) determined in experimental animals to account for expected differences in potency between test animals and people. ISFs have been developed for both cancer and non-cancer risk assessments in response to a common issue: toxicologists often determine adverse effects of chemicals in test animals and then they, or more commonly risk assessors and risk managers, have to draw inferences about what these observations mean for the human population. This perspective briefly reviews the development of ISFs and their applications in health risk assessments over the past 20 years, examining the impact of pharmacokinetic principles in altering current perceptions of the ISFs applied in these health risk assessments, and assessing future directions in applying both pharmacokinetic and pharmacodynamic principles for developing ISFs.

Animals↗

A biologically-based algorithm for predicting human tissue: blood partition coefficients of organic chemicals.

A biologically-based algorithm for predicting the tissue: blood partition coefficients (PCs) of organic chemicals has been developed. The approach consisted of (i) describing tissues and blood in terms of their neutral lipid, phospholipid, and water contents, (ii) obtaining data on the solubility of chemicals in n-octanol and water, and (iii) calculating the tissue: blood PCs by assuming that the solubility of a chemical in n-octanol corresponds to its solubility in neutral lipids, the solubility in water corresponds to the solubility in tissue/blood water fraction, and the solubility in phospholipids is a function of solubility in water and n-octanol. The adequacy of this approach was verified by comparing the predicted values with previously published experimental data on human tissue (liver, lung, muscle, kidney, brain, adipose tissue): blood PCs for 23 organic chemicals. In the case of liver, lung, and muscle, the predicted PC values were in close agreement with the higher-end of the range of experimental PC values found in the literature. The predicted brain: and kidney: blood PCs were greater than the experimental PCs in most cases by approximately a factor of two. Whereas the adipose tissue: blood PCs of relatively less hydrophilic chemicals were adequately predicted, the predicted PCs for relatively more hydrophilic chemicals were much greater than the experimentally-determined values. There was a good agreement between the predicted and experimentally-determined blood solubility of the 23 chemicals chosen for this study, indicating that the over-estimation of tissue:blood PCs by the present method is not due to under-estimation of blood solubility of chemicals.(ABSTRACT TRUNCATED AT 250 WORDS)

Algorithms↗

Uncertainty, variability, and sensitivity analysis in physiological pharmacokinetic models.

Physiologically based pharmacokinetic (PBPK) models are now commonly used to predict the dose of toxic metabolites of chemical substances reaching target tissues. A typical PBPK model can involve 20 or more physiological, physiochemical, and biochemical parameters, each of which is estimated with some degree of error. In this article, methods for assessing the impact of uncertainty in the parameter values on prediction of tissue dose are proposed, along with methods for identifying those parameters to which predictions of tissue doses are most sensitive. Many of the model parameters are related to body weight, which is assumed to vary in accordance with a doubly truncated normal distribution. The application of the proposed methods is illustrated using a PBPK model for benzene.

Animals↗

Neural cell-adhesion molecule (CD 56)-positive, t(8;21) acute myeloid leukemia (AML, M-2) and granulocytic sarcoma.

A 49-year-old man with t(8; 21) acute myeloid leukemia relapsed 8 months after successful induction chemotherapy with a paraspinal granulocytic sarcoma. There was no evidence of leukemia in the bone marrow at relapse. At initial presentation, the blasts co-expressed CD 15, CD 33, CD 34, CD 45, CD 19, and CD 56 (a neural cell-adhesion molecule). Expression of certain cell-adhesion molecules on leukemic blasts may determine a tendency to develop extramedullary relapse. The co-expression of CD 56 may have a role in the predisposition of t(8; 21) AML to develop GS.

Antigens, CD↗

Glutamine protects Chinese hamster ovary cells from radiation killing.

Chinese Hamster Ovary (CHO) cells were propagated in vitro and exposed to varying doses of ionizing radiation. The surviving fraction of cells was determined, being found to be a function of the radiation dose. The cell survival curves obtained as a function of radiation dose were modified by the inclusion of varying doses of glutamine in the medium with glutamine demonstrating a radioprotective effect. The radioprotectant effect of glutamine for CHO cells was more pronounced at higher radiation doses. Glutamine has been categorized as a non-essential amino acid in that it can be synthesized in some tissues; however, a number of cell lines require glutamine to survive and grow in vitro and supplementation of glutamine has been found to ameliorate the stress of surgery or irradiation to the gastrointestinal tract. It may be appropriate to consider glutamine as a conditionally essential amino acid.

Animals↗

Therapy-related acute myeloid leukaemia following immunosuppression with azathioprine for polymyositis.

A 52-year-old man developed therapy-related acute myeloid leukemia (AML) following prolonged immunosuppression with azathioprine for polymyositis. Karyotypic analysis showed deletions of the short arm of chromosome 7 and the long arm of chromosome 5. The importance of recognizing this potential complication while treating benign rheumatological and immunological diseases with purine analogues like azathioprine is emphasized. Therapy-related AML is a poor prognostic group that does not respond favourably to standard induction therapy.

Acute Disease↗

Direct binding to and tyrosine phosphorylation of the alpha subunit of the type I interferon receptor by p135tyk2 tyrosine kinase.

Binding of type I interferons (IFNs) to their receptors induces rapid tyrosine phosphorylation of multiple proteins, including the alpha and beta subunits of the receptor, the polypeptides that form the transcriptional activator ISGF3 alpha (Stat113, Stat84, and Stat91), and the p135tyk2 and Jak-1 tyrosine kinases. In this report, we demonstrate that the alpha subunit of the type I IFN receptor (IFN-R) corresponds to the product of a previously cloned receptor subunit cDNA and, further, that the p135tyk2 tyrosine kinase directly binds and tyrosine phosphorylates this receptor subunit. Glutathione S-transferase (GST) fusion proteins encoding the different regions of the cytoplasmic domain of the alpha subunit can bind the p135tyk2 contained in human cell lysates. The association between the alpha subunit and Tyk2 was demonstrated by immunoblotting with anti-Tyk2 and antiphosphotyrosine antibodies and by using an in vitro kinase assay. Analogous experiments were then performed with recombinant baculoviruses encoding constitutively active Jak family tyrosine kinases. In this case, p135tyk2, but not Jak-1 or Jak-2 protein, binds to the GST-IFN-R proteins, suggesting that the interaction between these two proteins is both direct and specific. We also demonstrate that Tyk2, from extracts of either IFN alpha-treated human cells or insect cells infected with the recombinant baculoviruses, can catalyze in vitro phosphorylation of GST-IFN-R protein in a specific manner. Deletion mutants of the GST-IFN-R protein were used to localize both the binding and tyrosine phosphorylation site(s) to a 46-amino-acid juxtamembrane region of the alpha subunit, which shows sequence homology to functionally similar regions of other cytokine receptor proteins. These data support the hypothesis that the Tyk2 protein functions as part of a receptor complex to initiate intracellular signaling in response to type I IFNs.

DNA-Binding Proteins↗

Physiologically based pharmacokinetics and cancer risk assessment.

Physiologically based pharmacokinetic (PBPK) modeling involves mathematically describing the complex interplay of the critical physicochemical and biological determinants involved in the disposition of chemicals. In this approach, the body is divided into a number of biologically relevant tissue compartments, arranged in an anatomically accurate manner, and defined with appropriate physiological characteristics. The extrapolation of pharmacokinetic behavior of chemicals from high dose to low dose for various exposure routes and species is possible with this approach because these models are developed by integrating quantitative information on the critical determinants of chemical disposition under a biological modeling framework. The principal application of PBPK models is in the prediction of tissue dosimetry of toxic moiety (e.g., parent chemical, reactive metabolite, macromolecular adduct) of a chemical. Such an application has been demonstrated with dichloromethane, a liver and lung carcinogen in the B6C3F1 mouse. The PBPK model-based risk assessment approach estimated a cancer risk to people of 3.7 x 10(-8) for a lifetime inhalation exposure of 1 micrograms/m3, which is lower by more than two orders of magnitude than that calculated by the U.S. Environmental Protection Agency using the linearized multistage model (for low-dose extrapolation) and body surface correction factor (for interspecies scaling). The capability of predicting the target tissue exposure to toxic moiety in people with PBPK models should help reduce the uncertainty associated with the extrapolation procedures adopted in conventional dose-response assessment.

Animals↗

Toxic interactions among environmental pollutants: corroborating laboratory observations with human experience.

Combined exposures to multiple chemicals may result in interactions leading to a significant increase or decrease in the overall toxicity of the mixture compared to the summation of the toxicity of the components. A large number of chemical interactions have been described in animal studies by administering high doses of chemicals by routes and scenarios often different from anticipated human exposures. Though limited, there is some evidence for the occurrence of several supra-additive (the combined effects are greater than the simple summation of the individual effects) and infra-additive (the combined effects are smaller than the simple summation of the individual effects) chemical interactions in humans. For example, toxicokinetic interactions between several solvents have been found to occur in the workplace, whereas those involving pesticides have been reported less frequently, especially during accidental exposures. Toxic interactions involving nutritionally important metals and metalloids appear to occur more frequently, since several of them have an important role in a variety of physiological and biochemical processes. On the contrary, there is not much evidence to confirm the occurrence of toxic interactions among the commonly encountered inorganic gaseous pollutants in humans. Overall, the majority of chemical interactions observed in animal studies have neither been investigated in humans nor been extrapolated to humans based on appropriate mechanistic considerations. Future research efforts in the chemical interactions arena should address these issues by focusing on the development of mechanistically and biologically based models that allow predictions of the extent of interactions likely to be observed in humans.

Air Pollutants↗

Physiologically based pharmacokinetic analyses of simple mixtures.

Exposure to multiple chemicals may cause significant alterations of tissue dose of the toxic moiety of one or more of the individual chemicals. The change in target tissue dose of a chemical present in simple mixtures can be predicted when the determinants of disposition of each chemical, and the mechanism of toxicokinetic interaction between chemicals are understood at a quantitative level. Determinants of disposition include physiological (e.g., breathing rates, cardiac output, tissue volumes, blood flow rates), biochemical (e.g., kinetic constants for metabolism and protein binding), and physicochemical factors (e.g., blood air and tissue blood partition coefficients). Mechanisms of toxicokinetic interactions refer to the manner in which coexposure alters these determinants of disposition as compared to exposure to the individual chemicals. Interactions between chemicals can be described quantitatively with physiologically based pharmacokinetic (PBPK) models, which integrate these mechanic determinants and permit prediction of alterations in tissue dose for various exposure situations by computer simulation. PBPK modeling studies of binary chemical interactions conducted so far indicate that inhibitory rather than potentiating metabolic interactions are more likely to be observed during multiple chemical exposures. As PBPK models of representative binary, tertiary and quaternary mixtures are developed, it will become increasingly possible to draw reliable conclusions about the risk associated with human exposure to chemical mixtures.

Animals↗