Through a plethora of hormones, endocrine systems modulate various biological processes, including metabolic processes. Hence many diseases involving the endocrine system invariably affect changes in metabolic profile, which is the endpoint and near phenotype, leading to different metabolic disorders, such as Diabetes or Insulin-Related pathologies. Integrated systems analysis using a multi-omic approach and unbiased/targeted data analysis from human studies and model systems related to human disease conditions have helped elucidate molecular mechanisms or identify potential biomarkers and therapeutic targets in these diseases.
This collection welcomes multi-omic studies on diseases of metabolic syndrome, diabetes, and insulin-related disorders. Submissions involving genomics, transcriptomics, proteomics, and metabolomics from human studies or animal models of diseases and their integrated analysis are encouraged. Studies using multi-omic techniques with a focus to identify biomarkers that might help in patient stratification, early diagnosis, disease progression, or prognosis are of primary interest. In particular, omics data addressing mechanisms, functions, or validation involving cell culture or animal models are encouraged. In addition, studies that provide insights into the role of the food processing, nutrition, and gut microbiome on hormone levels and in the pathogenesis of metabolic syndrome, diabetes and/or insulin-related disorders emphasizing inflammation/oxidative stress are of particular interest.
Through a plethora of hormones, endocrine systems modulate various biological processes, including metabolic processes. Hence many diseases involving the endocrine system invariably affect changes in metabolic profile, which is the endpoint and near phenotype, leading to different metabolic disorders, such as Diabetes or Insulin-Related pathologies. Integrated systems analysis using a multi-omic approach and unbiased/targeted data analysis from human studies and model systems related to human disease conditions have helped elucidate molecular mechanisms or identify potential biomarkers and therapeutic targets in these diseases.
This collection welcomes multi-omic studies on diseases of metabolic syndrome, diabetes, and insulin-related disorders. Submissions involving genomics, transcriptomics, proteomics, and metabolomics from human studies or animal models of diseases and their integrated analysis are encouraged. Studies using multi-omic techniques with a focus to identify biomarkers that might help in patient stratification, early diagnosis, disease progression, or prognosis are of primary interest. In particular, omics data addressing mechanisms, functions, or validation involving cell culture or animal models are encouraged. In addition, studies that provide insights into the role of the food processing, nutrition, and gut microbiome on hormone levels and in the pathogenesis of metabolic syndrome, diabetes and/or insulin-related disorders emphasizing inflammation/oxidative stress are of particular interest.