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1.
Epigenomics ; 10(4): 419-431, 2018 04 01.
Article in English | MEDLINE | ID: mdl-29561170

ABSTRACT

AIM: To investigate epigenomic changes in pregnancy and early postpartum in women with and without type 2 diabetes. METHODS: Dimethylation of histones H3K4, H3K9, H3K27, H3K36 and H3K79 was measured in white blood cells of women at 30 weeks pregnancy, at 8-10 and 20 weeks postpartum and in never-pregnant women. RESULTS: Dimethylation levels of all five histones were different between women in pregnancy and early postpartum compared with never-pregnant women and were different between women with and without type 2 diabetes. CONCLUSION: Histone methylation changes are transient in pregnancy and early postpartum and may represent normal physiological responses to hormones. Different epigenomic profiles in women with type 2 diabetes mellitus may correlate with hormonal responses, leading to high risk pregnancy outcomes.


Subject(s)
Diabetes Mellitus, Type 2/genetics , Epigenesis, Genetic , Pregnancy in Diabetics/genetics , Adult , Female , Histone Code , Histones/metabolism , Humans , Methylation , Middle Aged , Pilot Projects , Postpartum Period/genetics , Pregnancy
2.
J Clin Endocrinol Metab ; 101(6): 2396-404, 2016 06.
Article in English | MEDLINE | ID: mdl-27045797

ABSTRACT

CONTEXT: Lifestyle factors mediate epigenetic changes that can cause chronic diseases. Although animal and laboratory studies link epigenetic changes to diabetes, epigenetic information in women with gestational diabetes (GDM) and type 2 diabetes is lacking. OBJECTIVE: This study sought to measure epigenetic markers across pregnancy and early postpartum and identify markers that could be used as predictors for conversion from GDM to type 2 diabetes. DESIGN: Global histone H3 dimethylation was measured in white blood cells at three time points: 30 wk gestation, 8-10 wk postpartum, and 20 wk postpartum, from four groups of women with and without diabetes. SETTING AND PARTICIPANTS: A total of 39 participants (six to nine in each group) were recruited including: nondiabetic women; women with GDM who developed postpartum type 2 diabetes; women with GDM without postpartum type 2 diabetes; and women with type 2 diabetes. MAIN OUTCOME MEASURE: Percentages of dimethylation of H3 histones relative to total H3 histone methylation were compared between diabetic/nondiabetic groups using appropriate comparative statistics. RESULTS: H3K27 dimethylation was 50-60% lower at 8-10 and 20 wk postpartum in women with GDM who developed type 2 diabetes, compared with nondiabetic women. H3K4 dimethylation was 75% lower at 8-10 wk postpartum in women with GDM who subsequently developed type 2 diabetes compared with women who had GDM who did not. CONCLUSIONS: The percentage of dimethylation of histones H3K27 and H3K4 varied with diabetic state and has the potential as a predictive tool to identify women who will convert from GDM to type 2 diabetes.


Subject(s)
Diabetes Mellitus, Type 2/diagnosis , Diabetes, Gestational/genetics , Epigenesis, Genetic , Histones/genetics , Adult , DNA Methylation , Diabetes Mellitus, Type 2/genetics , Disease Progression , Female , Genetic Markers , Humans , Middle Aged , Pregnancy
3.
J Epidemiol Community Health ; 59(8): 632-7, 2005 Aug.
Article in English | MEDLINE | ID: mdl-16020638

ABSTRACT

This paper addresses a fundamental question in evidence based policy making--can scientists and policy makers work together? It first provides a scenario outlining the different mentalities and imperatives of scientists and policy makers, and then discusses various issues and solutions relating to whether and how scientists and policy makers can work together. Scientists and policy makers have different goals, attitudes toward information, languages, perception of time, and career paths. Important issues affecting their working together include lack of mutual trust and respect, different views on the production and use of evidence, different accountabilities, and whether there should be a link between science and policy. The suggested solutions include providing new incentives to encourage scientists and policy makers to work together, using knowledge brokers (translational scientists), making organisational changes, defining research in a broader sense, re-defining the starting point for knowledge transfer, expanding the accountability horizon, and finally, acknowledging the complexity of policy making. It is hoped that further discussion and debate on the partnership idea, the need for incentives, recognising the incompatibility problems, the role of civil society, and other related themes will lead to new opportunities for further advancing evidence based policy and practice.


Subject(s)
Health Policy , Science , Attitude to Health , Communication , Cooperative Behavior , Evidence-Based Medicine , Goals , Humans , Information Dissemination/methods , Interprofessional Relations , Motivation , Peer Review , Research/standards , Social Responsibility
4.
Soz Praventivmed ; 48(4): 242-51, 2003.
Article in English | MEDLINE | ID: mdl-12971112

ABSTRACT

As we move forward in the new century, epidemiologists and public health practitioners are faced with the challenge of reviewing the current direction of epidemiology and its links with public health. While the history of epidemiology has been a successful and productive one, there is a danger that modern epidemiology is becoming too narrow in its scope, concerned primarily with the analysis of risk factors in individuals, while ignoring sociological and ecological perspectives of health. We argue that a theoretical framework to guide the practice of epidemiology is needed which encompasses a role for social determinants of health while simultaneously also acknowledging the importance of behaviour and biology, and the inter-connectedness of all these factors. This paper presents a public health model of social determinants of health, which provides a framework for testing the causal pathways linking social determinant variables with health care system attributes, disease inducing behaviours and health outcomes. This approach provides an improved opportunity to identify and evaluate evidence-based public health interventions, and facilitates stronger links between modern epidemiology and public health practice.


Subject(s)
Public Health , Age Factors , Crime , Epidemiologic Factors , Epidemiologic Measurements , Health Behavior , Health Services/statistics & numerical data , Humans , Income , Life Expectancy , Models, Theoretical , Primary Prevention , Quality of Life , Risk Factors , Risk-Taking , Rural Health , Sex Factors , Social Support , Socioeconomic Factors , Stress, Psychological , Urban Health
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