Evaluation of glucose utilization in patients with insulin-independent diabetes mellitus by using breathing test

Commonly used clinical and biochemical parameters, such as the content of glucose, insulin, somatotropic hormone, triglycerides, lactate, pyruvate, and free fatty acids (FFA) in blood of practically healthy subjects and in patients with insulin-independent diabetes mellitus (IIDM), were compared with the parameters obtained by mass-spectrometric analysis of 13CO2 in expired air after 13C-glucose loading. It was shown that, as opposed to healthy subjects, the content of blood glucose and free fatty acids in patients with IIDM increased, the level of glucose dropped in progression upon short-term fasting, and the concentration of lactate changed both upon fasting and after the administration of small test doses of glucose. The use of the 13C-glucose breathing test (13C-GBT), which presupposes the loading of safe small doses of glucose enriched in 13C-isotope permitted one to reveal a number of novel quantitative diagnostic criteria for the evaluation of glucose metabolism in patients with IIDM: a decrease in the rate of 13C withdrawal as a constituent of expired carbon dioxide after the administration of 13C-glucose; a reduction in the amount of exogenous glucose metabolized to carbon dioxide; and increased oxidation of endogenous substrates participating in carbon dioxide formation. Small glucose loads proposed by the authors in 13C-GBT are safe for patients with diabetes mellitus and have no effect on the level of blood glucose in healthy persons. The parameters determined by noninvasive 13C-GBT are more sensitive for diagnosis than commonly used biochemical characteristics of blood in patients with IIDM. The diagnostic criteria obtained allow the prediction of the maximum prohibited glucose loading for every patient.     

Disaster Risk Assessment Based on Variable Fuzzy Sets and Improved Information Diffusion Method

The predictive analysis of natural disasters and their consequences is challenging because of uncertainties and incomplete data. The present article studies the use of variable fuzzy sets (VFS) and the improved information diffusion method (IIDM) to construct a composite method. The proposed method aims to integrate multiple factors and quantification of uncertainties within a consistent system for catastrophic risk assessment. VFS have been selected because of several advantages. These sets can effectively eliminate the border effect on assessment result and monitor estimation standard error. The IIDM theory can obtain as much useful information as possible from the sample and improves system recognition accuracy. Both these methods contribute to a sound risk probability prediction of natural disasters. Furthermore, the application has been verified through flood and drought risk analyses in China, where the risks of different flood and drought grades have been obtained. The results indicate that the proposed method achieves a better detection stability of disaster risk with higher precision compared with other methods. The method is effective, practical, and applicable in disaster rescue and relief.     

A new approach to modeling daily probabilities of conception

Standard conception probabilities models assume that different acts of intercourse make independent contributions to the probability of conception in viable cycles. We propose an alternative, approximate model based on the assumption that the act of intercourse closest to the time of maximum fertility is the one most likely to have caused conception. We describe an adaptive algorithm [the most fertile intercourse day (MFID) algorithm] that estimates the most fertile intercourse day in each cycle. The approach is easily extended to include covariates and random between-couple differences in fecundability that affect the probability of conception in a given cycle. Reanalyses of two data sets reported in the literature are presented. Estimates of the probability of conception during the most fertile period of the cycle and of the effects of covariates are similar to estimates found using standard models.     

Bayesian Modeling of the Level and Duration of Fertility in the Menstrual Cycle

Time to pregnancy studies that identify ovulation days and collect daily intercourse data can be used to estimate the day-specific probabilities of conception given intercourse on a single day relative to ovulation. In this article, a Bayesian semiparametric model is described for flexibly characterizing covariate effects and heterogeneity among couples in daily fecundability. The proposed model is characterized by the timing of the most fertile day of the cycle relative to ovulation, by the probability of conception due to intercourse on the most fertile day, and by the ratios of the daily conception probabilities for other days of the cycle relative to this peak probability. The ratios are assumed to be increasing in time to the peak and decreasing thereafter. Generalized linear mixed models are used to incorporate covariate and couple-specific effects on the peak probability and on the day-specific ratios. A Markov chain Monte Carlo algorithm is described for posterior estimation, and the methods are illustrated through application to caffeine data from a North Carolina pregnancy study.     

Raf-induced cell cycle progression in human TF-1 hematopoietic cells

Ras/Raf/MEK/ERK is a crucial pathway regulating cell cycle progression, apoptosis, and drug resistance. The Ras oncogene is frequently mutated in human cancer, which can result in the activation of the downstream Raf/MEK/ERK cascade leading to cell cycle progression in the absence of a growth stimulus. Raf-induced proliferation has been observed in hematopoietic cells. However, the mechanisms by which Raf affects cell cycle progression are not well described. To investigate the importance of Raf/MEK/ERK signaling in human hematopoietic cell growth, the effects of three different Raf genes, A-Raf, B-Raf and Raf-1, on cell cycle progression and regulatory gene expression were examined in TF-1 cells transformed to grow in response to beta-estradiol-regulated DeltaRaf:ER genes. Raf activation increased the expression of cyclin A, cyclin D, cyclin E, and p21(Cip1), which are associated with G(1) progression. Activated DeltaRaf-1:ER and DeltaA-Raf:ER but not DeltaB-Raf:ER increased Cdk2 and Cdk4 kinase activity. The regulatory role of p16(Ink4a), a potent Cdk4 kinase inhibitor, on the kinase activity of Cdk2 and Cdk4 was also examined. Raf induced p16(Ink4a) suppressor but this did not eliminate Cdk4 kinase activity. These results indicate that human hematopoietic cells transformed to grow in response to activated Raf can be used to elucidate the mechanisms by which various cell cycle regulatory molecules effect cell cycle progression. Furthermore, the differences that the various Raf isoforms have on Cdk4 activity and other cell cycle regulatory molecules can be determined in these cells.     

Modeling human fertility in the presence of measurement error

The probability of conception in a given menstrual cycle is closely related to the timing of intercourse relative to ovulation. Although commonly used markers of time of ovulation are known to be error prone, most fertility models assume the day of ovulation is measured without error. We develop a mixture model that allows the day to be misspecified. We assume that the measurement errors are i.i.d. across menstrual cycles. Heterogeneity among couples in the per cycle likelihood of conception is accounted for using a beta mixture model. Bayesian estimation is straightforward using Markov chain Monte Carlo techniques. The methods are applied to a prospective study of couples at risk of pregnancy. In the absence of validation data or multiple independent markers of ovulation, the identifiability of the measurement error distribution depends on the assumed model. Thus, the results of studies relating the timing of intercourse to the probability of conception should be interpreted cautiously.     

The Caulobacter cell cycle: timing,spatial organization and checkpoints

In Caulobacter crescentus, a complex regulatory network integrates temporal and spatial information to control the ordered progression of the cell cycle, and to synchronize cell proliferation with development. Periodicity includes the timed synthesis, activation or destruction of key regulatory proteins, which activate a large number of genes at the appropriate time of the cell cycle. Checkpoints serve to couple cell division and polar development to the replication and segregation state of the chromosome. Asymmetrically positioned regulatory components are involved in the sequential positioning of polar organelles. New work sheds light on the spatial organization of cellular components involved in cell cycle progression and polar differentiation, and starts to define the molecular nature of checkpoints involved in cell cycle control and development.     

The multifunctionality of regulatory peptides and the rule of "what--where--when" as a principle of their ordered action]

Consistent study of stages and history of discovery of regulatory peptides (RP) as a new class of multifunctional endogenic regulators puts forward some actual problems. A question what new notions on the manner of control of physiological functions have been introduced by RP investigation is considered. Two historical tendencies in the RP studies are estimated. A conception on peptides as multifunctional and colocated factors of neurohumoral regulation of organism was opposed to the idea of "single" substance--a regulator of "unique" function. In this connection a conception of peptide-regulatory continuum is considered and the author postulated the principle "what--where--when" as the main rule of RP well-regulated action. The statement on tissue (regional) specificity of the biogenesis processes of different RP as molecular basis of their regulatory function is grounded.     

Raf-Induced Cell Cycle Progression in Human TF-1 Hematopoietic Cells

Ras/Raf/MEK/ERK is a crucial pathway regulating cell cycle progression, apoptosis, and drug resistance. The Ras oncogene is frequently mutated in human cancer, which can result in the activation of the downstream Raf/MEK/ERK cascade leading to cell cycle progression in the absence of a growth stimulus. Raf-induced proliferation has been observed in hematopoietic cells. However, the mechanisms by which Raf affects cell cycle progression are not well described. To investigate the importance of Raf/MEK/ERK signaling in human hematopoietic cell growth, the effects of three different Raf genes, A-Raf, B-Raf and Raf-1, on cell cycle progression and regulatory gene expression were examined in TF-1 cells transformed to grow in response to b-estradiol-regulated DRaf:ER genes. Raf activation increased the expression of cyclin A, cyclin D, cyclin E, and p21Cip1, which are associated with G1 progression. Activated DRaf-1:ER and DA-Raf:ER but not DB-Raf:ER increased Cdk2 and Cdk4 kinase activity. The regulatory role of p16Ink4a, a potent Cdk4 kinase inhibitor, on the kinase activity of Cdk2 and Cdk4 was also examined. Raf induced p16Ink4a suppressor but this did not eliminate Cdk4 kinase activity. These results indicate that human hematopoietic cells transformed to grow in response to activated Raf can be used to elucidate the mechanisms by which various cell cycle regulatory molecules effect cell cycle progression. Furthermore, the differences that the various Raf isoforms have on Cdk4 activity and other cell cycle regulatory molecules can be determined in these cells.

Key Words:

Cell cycle, Raf, p21Cip1, p27Kip1, Cyclins, Cdks, Hematopoietic cells     

Hormonal control of the plant cell cycle

Plant organogenesis is essentially a post-embryonic process that requires a strict balance between cell proliferation and differentiation. This is subject to a complex regulatory network which, in some cases, depends on the action of a variety of plant hormones. Of these, auxins and cytokinins are those best documented as impinging directly on cell cycle control. However, increasing evidence is accumulating to indicate that other hormones also have an impact on cell cycle control by influencing the availability of cell cycle regulators. In this article, we review the results that point to the variety of situations in which cell cycle progression is controlled by phytohormones.     

Regulatory constructivism: On the relation between evolutionary epistemology and Piaget's genetic epistemology

It is argued that fundamental to Piaget's life works is a biologically based naturalism in which the living world is a nested complex of self-regulating, self-organising (constructing) adaptive systems. A structuralist-rationalist overlay on this core position is distinguished and it is shown how it may be excised without significant loss of content or insight. A new and richer conception of the nature of Piaget's genetic epistemology emerges, one which enjoys rich interrelationships with evolutionary epistemology. These are explored and it is shown how a regulatory systems evolutionary epistemology may be embedded within genetic epistemology.     

细胞周期调控的研究进展

细胞周期是一种非常复杂和精细的调节过程,有大量调节蛋白参与其中。此过程的核心是细胞周期依赖性蛋白激酶（CDKs）。CDKs的激活又依赖于另一类呈细胞周期特异性或时相性表达的细胞周期蛋白（cyclins）,而CDKs调节的关键步骤是细胞周期检查点。PLKs是多种细胞周期检查点的主要调节因子,Aurora蛋白激酶主要在细胞有丝分裂期起作用。本文就上述因素在细胞周期进程中的作用作一综述。     

一种基于基因表达模型识别酵母细胞周期条件特异调控子网的方法

由高通量微阵列技术产生的数据集可以用于解释生物系统基因调控的未知机制.生物过程是动态的,所以很有必要关注某些条件下特异的基因调控子网络.细胞周期是一个基本的细胞过程,识别酵母的细胞周期特异调控子网是理解细胞周期过程的基础,并且有助于揭示其他细胞条件的基因调控机理.使用一个基因表达微分方程模型(GEDEM),从静态网络中识别了动态的细胞周期相关调控关系.与已经报道的细胞周期相关调控相互作用相比,该方法识别了更多的真实存在的条件特异调控关系,取得了比当前的方法更好的性能.在大数据集上,GEDEM 识别了具有高敏感性和特异性的调控子网.组合调控的深入分析显示,条件特异调控子网的转录因子之间的相关性呈现出比静态网络中转录因子相关性更强,这说明条件特异网络比静态网络更加接近真实情况.另外,GEDEM 方法还识别更多潜在的共调控转录因子.     

Time to Pregnancy: A Computational Method for Using the Duration of Non-Conception for Predicting Conception

An important problem in reproductive medicine is deciding when people who have failed to become pregnant without medical assistance should begin investigation and treatment. This study describes a computational approach to determining what can be deduced about a couple''s future chances of pregnancy from the number of menstrual cycles over which they have been trying to conceive. The starting point is that a couple''s fertility is inherently uncertain. This uncertainty is modelled as a probability distribution for the chance of conceiving in each menstrual cycle. We have developed a general numerical computational method, which uses Bayes'' theorem to generate a posterior distribution for a couple''s chance of conceiving in each cycle, conditional on the number of previous cycles of attempted conception. When various metrics of a couple''s expected chances of pregnancy were computed as a function of the number of cycles over which they had been trying to conceive, we found good fits to observed data on time to pregnancy for different populations. The commonly-used standard of 12 cycles of non-conception as an indicator of subfertility was found to be reasonably robust, though a larger or smaller number of cycles may be more appropriate depending on the population from which a couple is drawn and the precise subfertility metric which is most relevant, for example the probability of conception in the next cycle or the next 12 cycles. We have also applied our computational method to model the impact of female reproductive ageing. Results indicate that, for women over the age of 35, it may be appropriate to start investigation and treatment more quickly than for younger women. Ignoring reproductive decline during the period of attempted conception added up to two cycles to the computed number of cycles before reaching a metric of subfertility.     

Differential mode of regulation of the checkpoint kinases CHK1 and CHK2 by their regulatory domains

CHK1 and CHK2 are key mediators that link the machineries that monitor DNA integrity to components of the cell cycle engine. Despite the similarity and potential redundancy in their functions, CHK1 and CHK2 are unrelated protein kinases, each having a distinctive regulatory domain. Here we compare how the regulatory domains of human CHK1 and CHK2 modulate the respective kinase activities. Recombinant CHK1 has only low basal activity when expressed in cultured cells. Surprisingly, disruption of the C-terminal regulatory domain activates CHK1 even in the absence of stress. Unlike the full-length protein, C-terminally truncated CHK1 displays autophosphorylation, phosphorylates CDC25C on Ser(216), and delays cell cycle progression. Intriguingly, enzymatic activity decreases when the entire regulatory domain is removed, suggesting that the regulatory domain contains both inhibitory and stimulatory elements. Conversely, the kinase domain suppresses Ser(345) phosphorylation, a major ATM/ATR phosphorylation site in the regulatory domain. In marked contrast, CHK2 expressed in either mammalian cells or in bacteria is already active as a kinase against itself and CDC25C and can delay cell cycle progression. Unlike CHK1, disruption of the regulatory domain of CHK2 abolishes its kinase activity. Moreover, the regulatory domain of CHK2, but not that of CHK1, can oligomerize. Finally, CHK1 but not CHK2 is phosphorylated during the spindle assembly checkpoint, which correlates with the inhibition of the kinase. The mitotic phosphorylation of CHK1 requires the regulatory domain, does not involve Ser(345), and is independent on ATM. Collectively, these data reveal the very different mode of regulation between CHK1 and CHK2.     

Control models of cell cycle transit, exit, and arrest

Several distinct cycles mediate the events which occur between one cell division and the next. In micro-organisms there are generally two cycles. One governs biomass growth, the other DNA synthesis and cell division. In higher eukaryotes there can be as many as four distinct cycles, with growth, DNA synthesis, cell division, and nuclear division each possessing its own functional sequence of events. These cycles are controlled and coordinated by several different regulatory mechanisms. Restriction points are specific steps in the cycle whose completion is governed by external regulatory agents. One set of restriction points requires nutrients and growth hormones for step completion. Another set serves as receptors for differentiating factors which cause cycle arrest and initiate cellular differentiation. There is currently a debate as to whether restriction point inhibition involves permanent arrest or temporary arrest with a stochastic arrested-state residence time controlled by a transition probability mechanism. Tissue sizing is a process of negative feedback inhibition mediated by intercellular communication via cell surface contact and the extracellular matrix. Sizers commonly operate throughout broad portions of the cycle and appear to cause a slowing of cycle transit velocity rather than arrest. Sizers are probably the major regulatory mechanism for cell growth under conditions of nutrient and growth factor excess. They also generate compensatory proliferation following wounding or cell death. A growing body of evidence suggests that both the transit velocity, with which cells move through their several cycles, and the coordination of the cycles are controlled by intracellular regulatory mechanisms which behave as biological oscillators. These oscillators trigger complex sequences of events such as DNA synthesis and cell division.     

Differentiation of Trypanosoma brucei may be stage non-specific and does not require progression of cell cycle

Ubiquitination and proteasomal degradation of cell cycle regulatory proteins are known to play a pivotal role in controlling the progression of the eukaryotic cell cycle. Using the technique of RNA interference (RNAi) on the bloodstream form of Trypanosoma brucei, we were able to knock down expression of each of the 11 non-ATPase regulatory subunit proteins (Rpns) in the 19S regulatory complex of the 26S proteasome. In each case, the knock-down led to arrest of cells within the G1 and G2 phases, suggesting blockage of cell cycle progression at both G1/S and G2/M boundaries. This finding differs from that observed previously in the procyclic form of T. brucei, in which loss of individual Rpns blocks only passage across the G2/M boundary. Thus, proteasomal degradation of additional regulatory protein(s) may be required for exiting from G1 phase in the bloodstream form. In vitro differentiation of each of the 11 Rpn-depleted bloodstream form cell lines into the procyclic form was monitored. Each cell line proceeded to completion of the differentiation process like the wild-type cells with the total percentage of differentiated cells about equivalent to the sum of G1 and G2 cells. Thus, cells trapped in either G1 or G2 phase can apparently still enter and complete the process of differentiation, which is probably neither stage specific nor dependent on the progression of the T. brucei cell cycle. The process is probably a simple pattern change of gene expression in the trypanosome induced by a temperature decrease from 37 degrees C to 26 degrees C in the presence of citrate and cis-aconitate.