Characterization of the MLC box: A conserved {\it cis\/}-acting DNA element present in the chicken MLC1s/1c gene

The slow/cardiac alkali myosin light chain (MLC1s/1c) is a member of a multigene family whose protein products are essential for activation of the myosin ATPase. In the adult, the MLC1s/1c isoform is expressed in both cardiac and slow-twitch skeletal muscles, while it is expressed by all skeletal muscles during development.^ To elucidate the molecular mechanisms that underlie the transcriptional regulation of MLC1s/1c gene expression, the immediate 5$\sp\prime$ flanking region of the gene was isolated and shown to be capable of directing reporter gene expression. Analysis of this region revealed a 110 bp muscle-specific enhancer that includes a myocyte-specific enhancer-binding factor 2 (MEF-2) site, E-boxes, which are potential binding sites for the basic-helix-loop-helix proteins such as MyoD, and a MLC box. The focus of the thesis was to identify the role of the MLC box in expression of the MLC1s/1c gene.^ The MLC box is a member of the family of CArG box containing cis-acting DNA elements. Mutagenesis showed that the MLC box is necessary, but not sufficient, for the expression of a reporter gene linked to the 5$\sp\prime$ flanking region of the MLC1s/1c gene. Linker scanner and site-directed mutagenesis identified a number of potential sites within the 110 bp muscle-specific enhancer that may cooperate with the MLC box. These are the MEF-2 site, the E-box site, and a 10 bp element located upstream of the MEF-2 site that does not have sequence similarity with any known cis-acting element. The MLC box is capable of binding to factors present in muscle nuclear extracts, as well as to human recombinant serum response factor (SRF). Binding of SRF to the MLC box was correlated with the ability of the 5$\sp\prime$ flanking region of the MLC1s/1c gene to drive reporter gene expression. Results suggest a model in which binding of SRF to the MLC box activates expression of the MLC1s/1c gene while binding of the factors present in the nuclear extracts suppresses the expression of the gene. (Abstract shortened with permission of author.) ^

Characterization of calcium signaling mechanisms in osteoblasts

Bone remodeling is controlled by the osteoclast, which resorbs bone, and the osteoblast, which synthesizes and secretes proteins that are eventually mineralized into bone. Ca$\sp{2+}$ homeostasis and signaling contribute to the function of nearly all cell types, and understanding both in the osteoblast is of importance given its secretory properties and interaction with osteoclasts. This study was undertaken to identify and investigate the physiology of the Ca$\sp{2+}$ signaling mechanisms present in osteoblasts. The Ca$\sp{2+}$ pumps, stores and channels present in osteoblasts were studied. RT-PCR cloning revealed that osteoblast-like cells express PMCA1b, an alternatively spliced transcript of the plasma membrane Ca$\sp{2+}$-ATPase. The PMCA1b isoform contains a consensus phosphorylation site for cAMP-dependent protein kinase A and a modified calmodulin binding domain. The regulation of osteoblast function by agents that act via cAMP-mediated pathways may involve alterations in the activity of the plasma membrane Ca$\sp{2+}$-ATPase.^ Calcium release from intracellular stores is a signaling mechanism used universally by cells responding to hormones and growth factors, and the compartmentalization and regulated release of calcium is cell-type specific. Fura-2 was employed to monitor intracellular Ca$\sp{2+}$. Thapsigargin and 2,5,-di-(tert-butyl)-1,4-benzohydroquinone (tBuHQ), two inhibitors of endoplasmic reticulum Ca$\sp{2+}$-ATPase activity, both emptied a single intracellular calcium pool which was released in response to either ATP or thrombin, identifying it as the inositol 1,4,5-trisphosphate-sensitive calcium store. The Ca$\sp{2+}$ storage system present in osteoblasts is typical of a non-excitable cell type, despite these cells sharing characteristics of excitable cells such as voltage-sensitive Ca$\sp{2+}$ channels (VSCCs).^ VSCCs are important cell surface regulators of membrane permeability to Ca$\sp{2+}$. In non-excitable cells VSCCs act as cellular transducers of stimulus-secretion coupling, activators of intracellular proteins, and in control of cell growth and differentiation. Functional VSCCs have been shown to exist in osteoblasts, however, no molecular cloning has been reported. To obtain information concerning the molecular identity of the osteoblastic VSCC, we used an RT-PCR regional amplification approach. Sequencing of the products indicated that osteoblasts express at least two isoforms of the L-type VSCC, $\alpha 1\sb{\rm C-a}$ and the $\alpha 1\sb{\rm C-d}$, which share regions of identity to the $\alpha \sb{\rm 1C}$ isoform first identified in cardiac myocytes. The ability of $1,25(\rm OH)\sb2D\sb3$ and structural analogs to modulate expression of Ca$\sp{2+}$ channel mRNA was then investigated. Cells were cultured for 48 hr in the presence of $1,25(\rm OH)\sb2D\sb3$ or vitamin D analogs, and the levels of mRNA encoding VSCC $\alpha \sb{\rm 1C}$ were quantitated using a competitive RT-PCR assay. It was found that $1,25(\rm OH)\sb2D\sb3$ and analog BT reduced steady state levels of $\alpha \sb{\rm 1C}$ mRNA. Conversely, analog AT did not alter steady state levels of Ca$\sp{2+}$ channel mRNA. Since it has been shown previously that analog BT, but not AT, binds and activates the nuclear vitamin D receptor, these findings suggest that the down regulation of channel mRNA involves the nuclear receptor for $1,25(\rm OH)\sb2D\sb3$. ^

Transcription factor SEF: Purification and functional characterization

Cytokine-induced transcription of the serum amyloid A3 (SAA3) gene promoter requires a transcriptional enhancer that contains three functional elements: two C/EBP-binding sites and a third site that interacts with a constitutively expressed transcription factor, SAA3 enhancer factor (SEF). Deletion or site-specific mutations in the SEF-binding site drastically reduced SAA3 promoter activity, strongly suggesting that SEF is important in SAA3 promoter function. To further elucidate its role in the regulation of the SAA3 gene, we purified SEF from HeLa cell nuclear extracts to near homogeneity by using conventional liquid chromatography and DNA-affinity chromatography. Ultraviolet cross-linking and Southwestern experiments indicated that SEF consisted of a single polypeptide with an apparent molecular mass of 65 kDa. Protein sequencing, oligonucleotide competition and antibody supershift experiments identified SEF as transcription factor LBP-1c/CP2/LSF. Cotransfection of SEF expression plasmid with SAA3-luciferase reporter resulted in 3- to 5-fold activation of SAA3 promoter. Interestingly, when SEF-transfected cells were treated with either conditioned medium (CM) or interleukin (IL) 1, the SAA3 promoter was synergistically activated in a dose-dependent manner. Furthermore, when SEF-binding site was mutated, the response of SAA3 promoter to IL-1 or CM stimulation was abolished or drastically decreased, suggesting that SEF may functionally cooperate with an IL-1-inducible transcription factor. Indeed, our functional studies showed that NFκB is a key transcription factor that mediates the IL-1-induced expression of SAA3 gene, and that SEF can synergize with NFκBp65 to activate SAA3 promoter. By coimmunoprecipitation experiments, we found that SEF could specifically interact with NFκBp65, and that the association of these two factors was enhanced upon IL-1 and CM stimulation. This suggests that the molecular basis for the functional synergy between SEF and NFκB may be due to the ability of SEF to physically interact with NPκB. In addition to its interaction with SEF, NFκB-dependent activation also requires the weak κB site in the C element and its interaction with C/EBP. Besides its role in regulating SAA3 gene expression, we provide evidence that SEF could also bind in a sequence-specific manner to the promoters of α2-macroglobulin, Aα fibrinogen, and 6–16 genes and to an intronic enhancer of the human Wilm's tumor 1 gene, suggesting a functional role in the regulation of these genes. By coimmunoprecipitation experiments, we determined that SEF could specifically associate with both Stat3 and Stat2 upon cytokine stimulation. To examine the functional roles of such interactions, we evaluated the effects of SEF on the transcriptional regulation of two reporter genes: Aα fibrinogen and 6–16, which are IL-6- and interferon-α-responsive, respectively. Our results showed that cotransfection of SEF expression plasmid can activate the expression of Aα fibrinogen gene and 6–16 gene. Moreover, SEF can dramatically enhance the interferon-α-induced expression of 6–16 gene and IL-6-induced expression of Aα fibrinogen gene, suggesting that SEF may functionally cooperate with ISGF3 and Stat3 to mediate interferon-α and IL-6 signaling. ^ Our findings that SEF can interact with multiple cytokine-inducible transcription factors to mediate the expression of target genes open a new avenue of investigation of cooperative transcriptional regulation of gene expression, and should further our understanding of differential gene expression in response to a specific stimulus. In summary, our data provide evidence that SEF can mediate the signaling of different cytokines by interacting with various cytokine-inducible transcription factors. ^

Physiologic and psychosocial stage-based differences for dietary fat consumption in women with type 2 diabetes

Purpose. This cross-sectional, observational study explored differences among groups staged for intent to decrease dietary fat intake in women with type 2 diabetes in relation to demographic, weight concern, physiological, and psychosocial variables. ^ Methods. A sample of 100 community-dwelling, English-speaking women, who were over age 30 and had type 2 diabetes for at least a year, was accessed through a culturally diverse endocrinology clinic. Subjects completed 7 self-report instruments: demographic sheet, with 11-point weight satisfaction scale; staging algorithm; fat intake (MEDFICTS); depression (CES-D); diabetes-specific dietary knowledge (ADKnowl), social support and self-efficacy scales (SE-Type 2). Physiological variables were abstracted from the medical record (HbA 1c, blood pressure, serum cholesterol and triglycerides). ^ Results. The women's average age was 57.69 years ( SD = 3.07); 50% were married. Subjects were well-educated ( M = 14 years; SD = 3.33), with average diabetes duration of 10.57 years (SD = 9.11), high body mass index (M = 35.72; SD = 8.36), low diabetes-specific dietary knowledge, low weight satisfaction, but in good diabetes control. Racial/ethnic composition was 44% non-Hispanic-White-American, 18% Hispanic-White-American, 15% non-Hispanic-African-American, 16% Hispanic-African-American and 5% other. Fat intake was low and differed by racial/ethnic demographics. The highest fat intake scores were for non-Hispanic-African-Americans (M = 53), followed by Hispanic-White-Americans (M = 51), non-Hispanic-White-Americans (M = 45), and Hispanic-African-Americans (M = 32), who had the lowest fat intake scores. ^ MANOVA analyses revealed no significant differences between stages of behavior change in relation to psychosocial or weight concern variables, age, education, HbA1c, or cholesterol levels. Single women were more likely to be in the three preaction stages (precontemplation, contemplation, and preparation); married women were equally distributed across stages (the preaction stages plus action and maintenance). African-American women (Hispanic and non-Hispanic) were more likely in contemplation and preparation. Triglycerides were higher in women in the action stage than contemplation or preparation. Systolic blood pressure was higher in action than preparation; diastolic blood pressure was higher in action than preaction. ^ Conclusions. Healthcare professionals should consider race, ethnicity, and marital status in client interactions. Dietary intake can vary according to both race and ethnicity; collapsing racial/ethnic groups can alter means and distributions, generating faulty conclusions. Further research is warranted to explore relationships between dietary self-care and marital status, race, ethnicity, and physiological variables. ^

Obesity during pregnancy on vagal tone, hemoglobin A1c, oxygenation, and perinatal outcomes

Purpose: To examine the effect of obesity and gestational weight gain on heart rate variability (HRV), oxygenation (HbO 2 and SpO2), hemoglobin A1c (HbA1c) and the frequency of pregnancy complications in obese (O) and non-obese (NO) women.^ Design: The study was an observational comparison study with a repeated measures design. ^ Setting: The setting was a low risk prenatal, university clinic located in a large southeastern metropolitan city. ^ Sample: The sample consisted of a volunteer group of 41 pregnant women who were observed at the three time points of 20, 28, and 36 weeks gestation. ^ Analysis: Analysis included general linear modeling with repeated measures to test for group differences with changes over time on vagal response, HbA1c, and oxygenation. Odds ratios were computed to compare the frequency of birth outcomes. ^ Findings: The interaction effect of time between O and NO women on HbO2 was significant. The mean HP, RSA, and HbO2 changed significantly over time within the NO women. The mean HbA 1c increased significantly over time within the O women. Women with excess gestational weight gain had significantly lower heart period than women with weight gain within the IOM recommendations. Obese women were more likely to have Group B streptococcal infections, gestational hypertension, give birth by cesarean or instrument assistance, and have at least one postnatal event. ^ Conclusions: Monitoring HRV, oxygenation, and HbA1c using minimally invasive measures may permit early identification of alterations in autonomic response. Implementation of interventions to promote vagal tone may help to reduce risks for adverse perinatal outcomes related to obesity. Future studies should examine the effect of obesity on the vagal response and perinatal outcomes. ^

Future pandemic influenza control (FPIC) related strategic management plan based on the 2009 H1N1 pandemic influenza review of health policy decisions, their practice and implications

This cross-sectional study is based on the qualitative and quantitative research design to review health policy decisions, their practice and implications during 2009 H1N1 influenza pandemic in the United States and globally. The “Future Pandemic Influenza Control (FPIC) related Strategic Management Plan” was developed based on the incorporation of the “National Strategy for Pandemic Influenza (2005)” for the United States from the U.S. Homeland Security Council and “The Canadian Pandemic Influenza Plan for the Health Sector (2006)” from the Canadian Pandemic Influenza Committee for use by the public health agencies in the United States as well as globally. The “global influenza experts’ survey” was primarily designed and administered via email through the “Survey Monkey” system to the 2009 H1N1 influenza pandemic experts as the study respondents. The effectiveness of this plan was confirmed and the approach of the study questionnaire was validated to be convenient and the excellent quality of the questions provided an efficient opportunity to the study respondents to evaluate the effectiveness of predefined strategies/interventions for future pandemic influenza control.^ The quantitative analysis of the responses to the Likert-scale based questions in the survey about predefined strategies/interventions, addressing five strategic issues to control future pandemic influenza. The effectiveness of strategies defined as pertinent interventions in this plan was evaluated by targeting five strategic issues regarding pandemic influenza control. For the first strategic issue pertaining influenza prevention and pre pandemic planning; the confirmed effectiveness (agreement) for strategy (1a) 87.5%, strategy (1b) 91.7% and strategy (1c) 83.3%. The assessment of the priority level for strategies to address the strategic issue no. (1); (1b (High Priority) > 1a (Medium Priority) > 1c (Low Priority) based on the available resources of the developing and developed countries. For the second Strategic Issue encompassing the preparedness and communication regarding pandemic influenza control; the confirmed effectiveness (agreement) for the strategy (2a) 95.6%, strategy (2b) 82.6%, strategy (2c) 91.3% and Strategy (2d) 87.0%. The assessment of the priority level for these strategies to address the strategic issue no. (2); (2a (highest priority) > 2c (high priority) >2d (medium priority) > 2b (low priority). For the third strategic issue encompassing the surveillance and detection of pandemic influenza; the confirmed effectiveness (agreement) for the strategy (3a) 90.9% and strategy (3b) 77.3%. The assessment of the priority level for theses strategies to address the strategic Issue No. (3) (3a (high priority) > 3b (medium/low priority). For the fourth strategic issue pertaining the response and containment of pandemic influenza; the confirmed effectiveness (agreement) for the strategy (4a) 63.6%, strategy (4b) 81.8%, strategy (4c) 86.3%, and strategy (4d) 86.4%. The assessment of the priority level for these strategies to address the strategic issue no. (4); (4d (highest priority) > 4c (high priority) > 4b (medium priority) > 4a (low priority). The fifth strategic issue about recovery from influenza and post pandemic planning; the confirmed effectiveness (agreement) for the strategy (5a) 68.2%, strategy (5b) 36.3% and strategy (5c) 40.9%. The assessment of the priority level for strategies to address the strategic issue no. (5); (5a (high priority) > 5c (medium priority) > 5b (low priority).^ The qualitative analysis of responses to the open-ended questions in the study questionnaire was performed by means of thematic content analysis. The following recurrent or common “themes” were determined for the future implementation of various predefined strategies to address five strategic issues from the “FPIC related Strategic Management Plan” to control future influenza pandemics. (1) Pre Pandemic Influenza Prevention, (2) Seasonal Influenza Control, (3) Cost Effectiveness of Non Pharmaceutical Interventions (NPI), (4) Raising Global Public Awareness, (5) Global Influenza Vaccination Campaigns, (6)Priority for High Risk Population, (7) Prompt Accessibility and Distribution of Influenza Vaccines and Antiviral Drugs, (8) The Vital Role of Private Sector, (9) School Based Influenza Containment, (10) Efficient Global Risk Communication, (11) Global Research Collaboration, (12) The Critical Role of Global Public Health Organizations, (13) Global Syndromic Surveillance and Surge Capacity and (14) Post Pandemic Recovery and Lessons Learned. The future implementation of these strategies with confirmed effectiveness to primarily “reduce the overall response time’ in the process of ‘early detection’, ‘strategies (interventions) formulation’ and their ‘implementation’ to eventually ensure the following health outcomes: (a) reduced influenza transmission, (b) prompt and effective influenza treatment and control, (c) reduced influenza related morbidity and mortality.^