About this Research Topic
Risk stratification among individuals or early diagnosis of a specific type of disease is not only a part of disease prevention strategies but also one of the foremost parameters to determine the treatment strategies to increase survival. Therefore, various biomarkers and -related mechanisms have been extensively studied in the diagnosis, prognosis, and treatment of different gastrointestinal (GI) diseases. GI-based diseases arise from the digestive tract-related organs such as the esophagus, stomach, small intestines, colon, and rectum; and digestion-supportive organs such as the liver, gallbladder, and pancreas. They consist of a wide variety of diseases ranging from esophageal reflux to inflammatory bowel diseases (IBDs), polyps to cancer.
A combination of standard diagnostic methods, such as physical examination, blood and other body fluid-based biomarkers, medical imaging techniques, surgery-based tissue collection and histopathology, and microbiology, remains the main approach in the diagnosis of GI diseases and benign/malignant classification. However, novel approaches enable the evaluation of each patient’s genetic background for the determination of diagnosis, disease susceptibility, and the most appropriate treatment with an individualized treatment perspective.
This Research Topic aims to reveal novel genetic/epigenetic biomarkers and related molecular mechanisms of GI diseases by analyzing genomic/transcriptomic/metagenomic data.
Therefore, we welcome the submission of Original Research and Review articles on this Research Topic. Computational research should propose a novel analysis approach for diagnostic purposes. Studies collecting data repositories (big data) might integrate multi-omics data and analyze them for biomarker prediction. Microbiome analysis with various technologies to explore mechanisms of GI diseases are also in the scope of this Research Topic.
Note: Research based on bioinformatic analysis of publicly available genomic/transcriptomic databases must be validated on an independent cohort or by in-vitro or in-vivo experiments. Studies based on a single cohort without an independent validation are not in the scope of this Research Topic.
A combination of standard diagnostic methods, such as physical examination, blood and other body fluid-based biomarkers, medical imaging techniques, surgery-based tissue collection and histopathology, and microbiology, remains the main approach in the diagnosis of GI diseases and benign/malignant classification. However, novel approaches enable the evaluation of each patient’s genetic background for the determination of diagnosis, disease susceptibility, and the most appropriate treatment with an individualized treatment perspective.
This Research Topic aims to reveal novel genetic/epigenetic biomarkers and related molecular mechanisms of GI diseases by analyzing genomic/transcriptomic/metagenomic data.
Therefore, we welcome the submission of Original Research and Review articles on this Research Topic. Computational research should propose a novel analysis approach for diagnostic purposes. Studies collecting data repositories (big data) might integrate multi-omics data and analyze them for biomarker prediction. Microbiome analysis with various technologies to explore mechanisms of GI diseases are also in the scope of this Research Topic.
Note: Research based on bioinformatic analysis of publicly available genomic/transcriptomic databases must be validated on an independent cohort or by in-vitro or in-vivo experiments. Studies based on a single cohort without an independent validation are not in the scope of this Research Topic.
Keywords: biomarkers, gastrointestinal diseases, genomics, transcriptomics, microbiome, multi-omics analysis
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
