Dynamics of a minimal model of interlocked positive and negative feedback loops of transcriptional regulation by cAMP-response element binding proteins.

cAMP-response element binding (CREB) proteins are involved in transcriptional regulation in a number of cellular processes (e.g., neural plasticity and circadian rhythms). The CREB family contains activators and repressors that may interact through positive and negative feedback loops. These loops can be generated by auto- and cross-regulation of expression of CREB proteins, via CRE elements in or near their genes. Experiments suggest that such feedback loops may operate in several systems (e.g., Aplysia and rat). To understand the functional implications of such feedback loops, which are interlocked via cross-regulation of transcription, a minimal model with a positive and negative loop was developed and investigated using bifurcation analysis. Bifurcation analysis revealed diverse nonlinear dynamics (e.g., bistability and oscillations). The stability of steady states or oscillations could be changed by time delays in the synthesis of the activator (CREB1) or the repressor (CREB2). Investigation of stochastic fluctuations due to small numbers of molecules of CREB1 and CREB2 revealed a bimodal distribution of CREB molecules in the bistability region. The robustness of the stable HIGH and LOW states of CREB expression to stochastic noise differs, and a critical number of molecules was required to sustain the HIGH state for days or longer. Increasing positive feedback or decreasing negative feedback also increased the lifetime of the HIGH state, and persistence of this state may correlate with long-term memory formation. A critical number of molecules was also required to sustain robust oscillations of CREB expression. If a steady state was near a deterministic Hopf bifurcation point, stochastic resonance could induce oscillations. This comparative analysis of deterministic and stochastic dynamics not only provides insights into the possible dynamics of CREB regulatory motifs, but also demonstrates a framework for understanding other regulatory processes with similar network architecture.

Dynamics of a minimal model of interlocked positive and negative feedback loops of transcriptional regulation by cAMP-response element binding proteins.

cAMP-response element binding (CREB) proteins are involved in transcriptional regulation in a number of cellular processes (e.g., neural plasticity and circadian rhythms). The CREB family contains activators and repressors that may interact through positive and negative feedback loops. These loops can be generated by auto- and cross-regulation of expression of CREB proteins, via CRE elements in or near their genes. Experiments suggest that such feedback loops may operate in several systems (e.g., Aplysia and rat). To understand the functional implications of such feedback loops, which are interlocked via cross-regulation of transcription, a minimal model with a positive and negative loop was developed and investigated using bifurcation analysis. Bifurcation analysis revealed diverse nonlinear dynamics (e.g., bistability and oscillations). The stability of steady states or oscillations could be changed by time delays in the synthesis of the activator (CREB1) or the repressor (CREB2). Investigation of stochastic fluctuations due to small numbers of molecules of CREB1 and CREB2 revealed a bimodal distribution of CREB molecules in the bistability region. The robustness of the stable HIGH and LOW states of CREB expression to stochastic noise differs, and a critical number of molecules was required to sustain the HIGH state for days or longer. Increasing positive feedback or decreasing negative feedback also increased the lifetime of the HIGH state, and persistence of this state may correlate with long-term memory formation. A critical number of molecules was also required to sustain robust oscillations of CREB expression. If a steady state was near a deterministic Hopf bifurcation point, stochastic resonance could induce oscillations. This comparative analysis of deterministic and stochastic dynamics not only provides insights into the possible dynamics of CREB regulatory motifs, but also demonstrates a framework for understanding other regulatory processes with similar network architecture.

Revising the National Ambient Air Quality Standards: The integration of science and policy

Under the Clean Air Act, Congress granted discretionary decision making authority to the Administrator of the Environmental Protection Agency (EPA). This discretionary authority involves setting standards to protect the public's health with an "adequate margin of safety" based on current scientific knowledge. The Administrator of the EPA is usually not a scientist, and for the National Ambient Air Quality Standard (NAAQS) for particulate matter (PM), the Administrator faced the task of revising a standard when several scientific factors were ambiguous. These factors included: (1) no identifiable threshold below which health effects are not manifested, (2) no biological basis to explain the reported associations between particulate matter and adverse health effects, and (3) no consensus among the members of the Clean Air Scientific Advisory Committee (CASAC) as to what an appropriate PM indicator, averaging period, or value would be for the revised standard. ^ This project recommends and demonstrates a tool, integrated assessment (IA), to aid the Administrator in making a public health policy decision in the face of ambiguous scientific factors. IA is an interdisciplinary approach to decision making that has been used to deal with complex issues involving many uncertainties, particularly climate change analyses. Two IA approaches are presented; a rough set analysis by which the expertise of CASAC members can be better utilized, and a flag model for incorporating the views of stakeholders into the standard setting process. ^ The rough set analysis can describe minimal and maximal conditions about the current science pertaining to PM and health effects. Similarly, a flag model can evaluate agreement or lack of agreement by various stakeholder groups to the proposed standard in the PM review process. ^ The use of these IA tools will enable the Administrator to (1) complete the NAAQS review in a manner that is in closer compliance with the Clean Air Act, (2) expand the input from CASAC, (3) take into consideration the views of the stakeholders, and (4) retain discretionary decision making authority. ^

Perinatal mortality and quality of care at the National Institute of Perinatology: A 3-year analysis

Quality of medical care has been indirectly assessed through the collection of negative outcomes. A preventable death is one that could have been avoided if optimum care had been offered. The general objective of the present project was to analyze the perinatal mortality at the National Institute of Perinatology (located in Mexico City) by social, biological and some available components of quality of care such as avoidability, provider responsibility, and structure and process deficiencies in the delivery of medical care. A Perinatal Mortality Committee data base was utilized. The study population consisted of all singleton perinatal deaths occurring between January 1, 1988 and June 30, 1991 (n = 522). A proportionate study was designed.^ The population studied mostly corresponded to married young adult mothers, who were residents of urban areas, with an educational level of junior high school or more, two to three pregnancies, and intermediate prenatal care. The mean gestational age at birth was 33.4 $\pm$ 3.9 completed weeks and the mean birthweight at birth was 1,791.9 $\pm$ 853.1 grams.^ Thirty-five percent of perinatal deaths were categorized as avoidable. Postnatal infection and premature rupture of membranes were the most frequent primary causes of avoidable perinatal death. The avoidable perinatal mortality rate was 8.7 per 1000 and significantly declined during the study period (p $<$.05). Preventable perinatal mortality aggregated data suggested that at least part of the mortality decline for amenable conditions was due to better medical care.^ Structure deficiencies were present in 35% of avoidable deaths and process deficiencies were present in 79%. Structure deficiencies remained constant over time. Process deficiencies consisted of diagnosis failures (45.8%) and treatment failures (87.3%), they also remained constant through the years. Party responsibility was as follows: Obstetric (35.4%), pediatric (41.4%), institutional (26.5%), and patient (6.6%). Obstetric responsibility significantly increased during the study period (p $<$.05). Pediatric responsibility declined only for newborns less than 1500 g (p $<$.05). Institutional responsibility remained constant.^ Process deficiencies increased the risk for an avoidable death eightfold (confidence interval 1.7-41.4, p $<$.01) and provider responsibility ninety-fivefold (confidence interval 14.8-612.1, p $<$.001), after adjustment for several confounding variables. Perinatal mortality due to prematurity, barotrauma and nosocomial infection, was highly preventable, but not that due to transpartum asphyxia. Once specific deficiencies in the quality of care have been identified, quality assurance actions should begin. ^

ASSOCIATIONS AND INTERRELATIONSHIPS OF SOCIOECONOMIC STATUS, BEHAVIORAL FACTORS AND BIOLOGICAL FACTORS WITH BIRTH WEIGHT

Although the influences of socioeconomic, behavioral and biological factors on birth weight have been extensively studied, most studies have been limited to clinical populations. This study examines such relationships in a national probability sample, the National Health and Nutrition Examination Survey of 1971-1974. The study sample consisted of 2161 white children and 812 black children, aged 1 to 5 years. Analyses were performed on a subsample consisting of 753 white and 138 black children whose mothers were also selected into the survey. Detailed analyses examined interrelationships among socio-economic, behavioral and biological factors by means of multiple regression and partial correlation procedures in the white population. These analyses were not carried out among blacks because of an observed clustering bias introduced in the black subsample that hampered generalization to the US population.^ The results among the whites indicated that the biological factors of maternal height, maternal weight, maternal size (weight/height('2)), maternal age and sex of child were independently related to birth weight and were also interrelated with socioeconomic factors such as family income, education of the mother and education of the head of the household. The joint effect was significantly associated with birth weight.^ Mothers' dietary practices represented the behavioral factors. Selected nutrients from the mothers' 24-hour dietary recall were used to develop indices of dietary quality. Dietary quality was significantly interrelated with socioeconomic status, biological factors and birth weight.^ The findings of this study suggest that smaller, younger mothers of lower socioeconomic status and female children were significantly associated with lower birth weight. The findings also suggest that dietary quality is a mediating factor among socioeconomic status and biological factors in that mothers with more financial and educational resources have better dietary practices. Such mothers may also practice other health behaviors that would prevent having a low birthweight baby. This dissertation contributes primarily to the further conceptualization and empirical testing of the interrelationships among socioeconomic, behavioral and biological factors with respect to birth weight. ^

Efficiency from pharmacy inventory technology: A means to improving quality in non-profit hospitals

Hospitals, like all organizations, have both a mission and a finite supply of resources with which to accomplish that mission. Because the inventory of therapeutic drugs is among the more expensive resources needed by a hospital to achieve its mission, a conceptual model of structure plus process equals outcome posits that adequate emphasis should be placed on optimization of the organization's investment in this important structural resource to provide highest quality outcomes. Therefore emphasis should be placed on the optimization of pharmacy inventory because lowering the financial investment in drug inventory and associated costs increases productive efficiency, a key element of quality. ^ In this study, a post-intervention analysis of a hospital pharmacy inventory management technology implementation at The University of Texas M.D. Anderson Cancer Center was conducted to determine if an intervention which reduced a hospital's financial investment in pharmaceutical inventory provided an opportunity to incrementally optimize the organization's mix of structural resources thereby improving quality of care. The results suggest that hospital pharmacies currently lacking technology to support automated purchasing logistics and perpetual, real-time inventory management for drugs may achieve measurable benefits from the careful implementation of such technology, enabling the hospital to lower its investment in on-hand inventory and, potentially, to reduce overall purchasing expenditures. ^ The importance of these savings to the hospital and potentially to the patient should not be underestimated for their ability to generate funding for previously unfunded public health programs or in their ability to provide financial relief to patients in the form of lower drug costs given the current climate of escalating healthcare costs and tightening reimbursements.^

Biological effects of PEA3 expression in {\it HER-2\/}/{\it neu\/}-overexpressing human cancer cells and the molecular mechanisms of PEA3-mediated transcriptional repression on {\it HER-2\/}/{\it neu\/}

HER-2/neu is a receptor tyrosine kinase highly homologous with epidermal growth factor receptor. Overexpression and/or amplification of HER-2/neu has been implicated in the genesis of a number of human cancers, especially breast and ovarian cancers. Transcriptional upregulation has been shown to contribute significantly to the overexpression of this gene. Studies on the transcriptional regulation of HER-2/neu gene are important for understanding the mechanism of cell transformation and developing the therapeutic strategies to block HER-2/neu-mediated cancers. PEA3 is a DNA binding transcriptional factor and its consensus sequence exists on the HER-2/neu promoter. To examine the role of PEA3 in HER-2/neu expression and cell transformation, we transfected PEA3 into the human breast and ovarian cancer cells that overexpress HER-2/neu and showed that PEA3 dramatically represses HER-2/neu transcription. PEA3 suppresses the oncogenic neu-mediated transformation in mouse fibroblast NIH 3T3 cells. Expression of PEA3 selectively blocks the growth of human cancer cells that overexpress HER-2/neu and inhibits their colony formation. It does not occur in the cancer cells expressing basal level of HER-2/neu. Further studies in the orthotopic ovarian cancer model demonstrated that expression of PEA3 preferentially inhibits growth and tumor development of human cancer cells that overexpress HER-2/neu, the tumor-bearing mice survived significantly longer if treated by injection of the PEA3-liposome complex intraperitoneally. Immunoblotting and immunohistochemical analysis of the tumor tissues indicated that PEA3 mediates the tumor suppression activity through targeting HER-2/neu-p185. Thus, PEA3 is a negative regulator of HER-2/neu gene expression and functions as a tumor suppressor gene in the HER-2/neu-overexpressing human cancer cells.^ The molecular mechanisms of PEA3 mediated transcriptional repression were investigated. PEA3 binds specifically at the PEA3 site on HER-2/neu promoter and this promoter-binding is required for the PEA3 mediated transcriptional repression. Mutation of the PEA3 binding site on HER-2/neu promoter causes decreased transcriptional activity, indicating that the PEA3 binding site is an enhancer-like element in the HER-2/neu-overexpressing cells. We therefore hypothesized that in the HER-2/neu-overexpressing cells, PEA3 competes with a transactivator for binding to the PEA3 site, preventing the putative factor from activating the transcription of HER-2/neu. This hypothesis was supported by the data which demonstrate that PEA3 competes with another nuclear protein for binding to the HER-2/neu promoter in vitro, and expression of a truncated protein which encodes the DNA binding domain of PEA3 is sufficient to repress HER-2/neu transcription in the HER-2/neu-overexpressing human cancer cells. ^