Authors:

Nicolas Vivas Rincon

Date Created:

Not specified

Course Title:

Professor:

Not specified

About Paper:

Inflammatory bowel disease (IBD) is a non-curable condition that affects millions of people around the world. IBD is characterized by chronic relapsing and remitting inflammation of the gastrointestinal tract, resulting in debilitating physical and psychosocial symptoms for patients including diarrhea, abdominal pain, fatigue, depression, and anxiety. To date, the causes, and reasons for progression of IBD are unknown, which impedes the accurate diagnosis, and the development of efficient treatments. Our goal in this study is to identify key biomarkers of IBD through the analysis of multi-omics data. For this purpose, we will use the IBDM Database which contains data for 27 non-IBD subjects and 105 IBD subjects. Each subject has records of different microbially focused profiles, or omics data: metagenomes, transcriptomes, metaproteomes, and metabolomes. We will use two different methods available in the literature. The Joint and Individual variation explained (JIVE) method, which combines multi-omics data and captures the joint and individual structure of each type of data; and the Sparse Generalized Canonical Correlation Analysis (SGCCA), which identifies key multi-omics features by estimating the directions in the data that maximize correlation. By discovering the key biomarkers of IBD, we will enable the development of a theragnostic (diagnosis and therapeutic) system, able to help patients to control their symptoms.

Source:

Purdue University / 2023

Topics:

No topics listed

Co-authors:

Nicolas Vivas Rincon