Study on Diabetic microvascular complications and CAD using Mass spectroscopy based proteomics and metabolomics.
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 入组人数
- 30
- 试验地点
- 1
- 主要终点
- To search for the biomarkers for early diagnosis and prognostic purpose in Diabetic vascular complications using proteomics and metabolomics as a tool.
研究概览
简要总结
Diabetes mellitus is a complex metabolic disorder that is associated with insulin resistance, impaired insulin signaling, b-cell dysfunction, abnormal glucose levels, altered lipid metabolism, subclinical inflammation and increased oxidative stress . Diabetes mellitus has become a major global health problem with almost 415 million people affected in 2015, and a projected figure of 642 million by 2040 (International Diabetes Federation). Type 2 diabetes mellitus leads to long-term vascular complications, including micro- and macrovascular complications, such as peripheral neuropathy, retinopathy, nephropathy, CAD with decreased quality of life and increased mortality . There is no cure once the disease is diagnosed, but early treatment at the subclinical stage can prevent or at least halt disease progression. Thus, it is of critical importance to diagnose these complications at the earliest to reduce the morbidity and mortality.
Metabolomics is a systems biology approach that provides global metabolic information about biological samples. It has been widely used in the diagnosis and treatment of diabetes . Many studies have shown elevated plasma levels of branched-chain amino acids and their derivatives, aromatic amino acids, and a-hydroxybutyrate before the manifestation of type 2 diabetes mellitus . However, studies of diabetic complications are scarce.
‘Proteome’ is used to describe the entire protein complement of a system and ‘proteomics’ is the study of this complement. Proteins are the principal mediators of every cellular process, and the proteome of an organism is far more complex than its genome. Consequently, it is more informative. The genome remains stable throughout life and the genome isolated from one cell type is (for the most part) identical to that isolated from another. Thus, the genome cannot provide information regarding the impact of environmental and other stimuli on a particular organism or cell. The high throughput mass spectrometry based proteomics has helped in unveiling the identification and mapping of signaling networks associated with the post-translational modifications (PTMs) along with changes in the expression of proteins
spectrometry based proteomics has helped in unveiling the identification and mapping of signaling networks associated with the post-translational modifications (PTMs) along with changes in the expression of proteins
There are limited proteomics-metabolomics based studies to date in the field of diabetes,especially with regard to complications in India. Hence there is a need for such studies to find out biomarkers which can help us in diagnosing the diabetic complications early so that appropriate preventive and treatment strategies can be instituted.
The purpose of the study is to identify the marker using the quantitative proteomic approaches which includes label and label free approaches and to find out how the signaling cascade mechanisms, metabolites and post translational mechanisms responsible for the conversion of diabetes to diabetic complications stage.
研究设计
- 研究类型
- Observational
入排标准
- 年龄范围
- 18.00 Year(s) 至 40.00 Year(s)(—)
- 性别
- All
入选标准
- •Pre diabetic patients, type2 diabetes with and without complications will be included.
排除标准
- •Type1 diabetes Patients not willing to participate in the study.
结局指标
主要结局
To search for the biomarkers for early diagnosis and prognostic purpose in Diabetic vascular complications using proteomics and metabolomics as a tool.
时间窗: At the time of recruitment of participant in the study
次要结局
- •Establishment of Biomarker for early diagnostic of Diabetes / CAD / diabetic complications using body fluids especially serum/plasma, urine by the help of high resolution mass spectrometry and quantitative proteomics and metabolomics.(•Metabolomics biomarker: small molecules, amino acid, carbohydrate, lipid and peptide)
