Network Medicine, Epigenetics and Obesity
NCT03903757 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 100
Last updated 2019-09-18
Summary
The prevalence of obesity is increasing and affects more than 650 million people of all ages to become one of the foremost global health threats. Obesity is a complex syndrome that can seriously impair health through a broad range of complications such as cardiovascular disease, type 1 and 2 diabetes (T1D and T2D), cancer, musculoskeletal disorders, psychosocial imbalances, and reduced quality of life, and impacts the treatment of other conditions. Weight reduction has been shown to have a positive effect on these co-morbidities and may increase the effectiveness of treatments specific for other co-morbidities. Lifestyle modification is an integral part of the weight management journey, but is often insufficient on its own, and can be complimented by pharmacological and surgical add-on treatments to achieve greater and more sustainable weight loss, as appropriate. It is likely that there are subgroups of patients that are more suited to certain types of treatment and results risk dilution of perceived efficacy unless these groups are identified and treatment is personalised. The aim of this project is to identify pathophysiologically and clinically meaningful subgroups of obesity by performing Next Generation Sequencing (NGS) approaches and network based algorithm that will allow the optimisation of prevention and treatment of obesity and its complications.
Conditions
- Obesity
- Type2 Diabetes
Interventions
- OTHER
-
DNA methylome and total RNA sequencing
Epigenomics tools combined with bioinformatic analysis to correlate putative useful clinical biomarkers with clinical features
Sponsors & Collaborators
-
University of Campania Luigi Vanvitelli
lead OTHER
Eligibility
- Min Age
- 18 Years
- Max Age
- 60 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2019-12-31
- Primary Completion
- 2020-06-30
- Completion
- 2021-06-30
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