Integrating microbiome, transcriptome and metabolome data to investigate gastric disease pathogenesis: a concise review. (16th August 2021)

• Record Type: Journal Article
• Authors: Doohan, Dalla; Rezkitha, Yudith Annisa Ayu; Waskito, Langgeng Agung; Vilaichone, Ratha-korn; Yamaoka, Yoshio; Miftahussurur, Muhammad
• Is Part Of: Expert reviews in molecular medicine. Volume 23(2021)
• Publication Date: 2021-08-16
• Subjects: Disease burden -- gastric disease -- metabolome -- microbiome -- next-generation sequencing -- transcriptome; Molecular biology -- Periodicals; 616.042
• DOI: 10.1017/erm.2021.8
• Languages: English
• ISSNs: 1462-3994

Abstract

Abstract: Microbiome, the study of microbial communities in specific environments, has developed significantly since the Human Microbiome Project began. Microbiomes have been associated with changes within environmental niches and the development of various diseases. The development of high-throughput technology such as next-generation sequencing has also allowed us to perform transcriptome studies, which provide accurate functional profiling data. Metabolome studies, which analyse the metabolites found in the environment, are the most direct environmental condition indicator. Although each dataset provides valuable information on its own, the integration of multiple datasets provides a deeper understanding of the relationship between the host, agent and environment. Therefore, network analysis using multiple datasets might give a clearer understanding of disease pathogenesis.