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+{
+  "titles": [
+    "2014 - Nutrigenetics and Nutrigenomics Insights into Diabetes Etiopathogenesis.pdf",
+    "2018 - Ethical_Social_and_Legal_Consequences.pdf",
+    "2014 - Nutrigenetics and Nutrigenomics Insights into Diabetes Etiopathogenesis.pdf",
+    "2012 - Systems Biology Approaches to Nutrition.pdf",
+    "2007 - Bioethnic Conscription Genes, Race.pdf",
+    "2014 - Nutrigenetics and Nutrigenomics Insights into Diabetes Etiopathogenesis.pdf",
+    "2014 - Nutrigenetics and Nutrigenomics Insights into Diabetes Etiopathogenesis.pdf",
+    "2014 - Nutrigenetics and Nutrigenomics Insights into Diabetes Etiopathogenesis.pdf",
+    "2010 - The Genetics of Type 2 Diabetes.pdf",
+    "2014 - Nutrigenetics and Nutrigenomics Insights into Diabetes Etiopathogenesis.pdf"
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+    "Abstract:  Diabetes mellitus (DM) is considered a global pandemic, and the incidence of  DM continues to grow worldwide. Nutrients and dietary patterns are central issues in the  prevention, development and treatment of this disease. The pathogenesis of DM is not  comp letely understood, but nutrient -gene interactions at different levels, genetic predisposition  and dietary factors appear to be involved. Nutritional genomics studies generally focus on",
+    "ABSTRACT    Genomics has contributed to a better understanding of many disorders including diabetes. The  following article looks at the ethical, social and legal consequences of genomic medicine and  predictive genetic testing for diabetes. This is currently a field in its nascent stage and developing  rapidly all over the world. The various ethical facets of genomic medicine in diabetes like its effects",
+    "Nutrients 2014, 6 5340    However, while the a pplication of these technologies is becoming more accessible, analysis of the  complex large data sets that are generated  presents multiple challenges.   The aim of the present review was to provide insights regarding the role of nutrient -gene interactions  in DM pathogenesis, prevention and treatment. In addition, we explored how an individuals genetic  makeup can affect nutrient metabolism and the response to nutrient intake, potentially leading to DM.",
+    "in nutritional epidemiology: applications, needs and  new horizons .Hum Genet 125, 507525. Kaput, J., Noble, J., Hatipoglu, B., et al. ( 2007) Application of nutrigenomic concepts to type 2 diabetes melli-tus.Nutr Metab Cardiovasc Dis 17,89103. Ordovas, J.M., Kaput, J., and Corella, D. ( 2007) Nutrition in the genomics era: cardiovascular disease risk and  the Mediterranean diet .Mol Nutr Food Res 51, 12931299. van Ommen, B., El-Sohemy , A., Hesketh, J., et al . ( 2010)",
+    "at the expense of understanding the social context and determinants of the disease.Biogenetic views tend to trump sociological views in the diabetes research imaginary ofconsortium members. However, the genetic epidemiologists who make up part of thediabetes consortium are not ignorant of the effects of proper diet and adequate exercise.Take away the television and the automobile and diabetes would all but disappear, quipped the head of one lab. Neither are researchers unsympathetic to those who sufferfrom",
+    "approach will help to develop tailored diets that maximize the use of nutrients and other functional ingredients present in food, which will aid in the prevention and delay of DM and its complications. This rev iew discusses the current state of nutrigenetics, nutrigenomics and  epigenomics research on DM. Here, we provide an overview of the role of gene variants and nutrient interactions, the importance of nutrients and dietary patterns on gene expression, OPEN ACCESS",
+    "understood. It seems that interactions between multiple genes and environmental factors may play a role.  One of these factors is dietary factors. There is evidence supporting the role  of nutrient- gene interactions   in DM pathophysiology  [5]. Thus, a greater understanding of potential gene -nutrient interactions may  be relevant for DM prevention and treatment.  Nutrigenetics and nutrigenomics are defined as the science of the effects of genetic variation on",
+    "Nutrients 2014, 6 5343    3. Gene -Nutrient or Dietary Patter n Interactions in T he Development of T2DM   Recently, several studies have d emonstrated the  significant effects of genotype by environment  interactions on T2D M [48,49] . However, further clarification of the role of these interactions at the  genome -wide level could help predict disease risk more accurately and facilitate the development of",
+    "nutrition  [12] . The identi  cation of gene variants that contribute  both to variation in fetal growth and to the susceptibility to T2DM, however, suggests that this metabolic   programming   could also be partly genetically determined  [13] .   These complex interactions between genes and environment  complicate the task of identifying any single genetic susceptibility factor for T2DM. Three general approaches have been adopted",
+    "It was previously report ed that food intake is a key component that affects the incidence of DM. Thus,  the identification and analysis of nutrient/gene interactions are necessary steps to understand DM etiopathogenesis. In general, nutrients can affect gene expression via different mechanisms: ( i) directly;  (ii) through their metabolites and ( iii) through signal tran sduction molecules (Figure 1)."
+  ],
+  "answer": "Diabetes mellitus (DM) is a global pandemic with increasing incidence worldwide, where nutrients and dietary patterns play a crucial role in its prevention, development, and treatment [1]. The pathogenesis of DM involves complex interactions between genetic predisposition and dietary factors, which are not yet fully understood [1]. Genomics offers a promising avenue to elucidate these interactions by studying nutrient-gene interactions at various levels [1]. Nutritional genomics, including nutrigenetics and nutrigenomics, focuses on how genetic variations affect nutrient metabolism and the body's response to nutrient intake, potentially influencing DM pathogenesis [3]. By identifying gene variants and understanding their interactions with dietary factors, genomics can help predict disease risk more accurately and facilitate the development of personalized dietary interventions [8]. This approach aims to develop tailored diets that maximize the use of nutrients and functional ingredients in food, aiding in the prevention and delay of DM and its complications [6]. Overall, genomics provides valuable insights into the role of gene-nutrient interactions in DM, paving the way for more effective prevention and treatment strategies [7].",
+  "question": "nutrition is a factor for diabetes. construct an abstract about how can genomics be use to better understand nutritional factors of diabetes"
+}
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