Application of omics beyond the central dogma in coronary heart disease research: A bibliometric study and literature review. (January 2022)

• Record Type: Journal Article
• Authors: Lim, Si Ying; Selvaraji, Sharmelee; Lau, Hazel; Li, Sam Fong Yau
• Is Part Of: Computers in biology and medicine. Volume 140(2022)
• Publication Date: 2022-01
• Subjects: Glycomics -- Metabolomics -- Lipidomics -- Metallomics -- Bibliometrics -- Coronary heart disease; Medicine -- Data processing -- Periodicals; Biology -- Data processing -- Periodicals; 610.285
• DOI: 10.1016/j.compbiomed.2021.105069
• Languages: English
• ISSNs: 0010-4825

Abstract

Abstract: Despite remarkable progress in disease diagnosis and treatment, coronary heart disease (CHD) remains the number one leading cause of death worldwide. Many practical challenges still faced in clinical settings necessitates the pursuit of omics studies to identify alternative/orthogonal biomarkers, as well as to discover novel insights into disease mechanisms. Albeit relatively nascent as compared to the omics frontrunners (genomics, transcriptomics, and proteomics), omics beyond the central dogma (OBCD; e.g., metabolomics, lipidomics, glycomics, and metallomics) have undeniable contributions and prospects in CHD research. In this bibliometric study, we characterised the global trends in publication/citation outputs, collaborations, and research hotspots concerning OBCD-CHD, with a focus on the more prolific fields of metabolomics and lipidomics. As for glycomics and metallomics, there were insufficient publication records on their applications in CHD research for quantitative bibliometrics analysis. Thus, we reviewed their applications in health/disease research in general, discussed and justified their potential in CHD research, and suggested important/promising research avenues. By summarising evidence obtained both quantitatively and qualitatively, this study offers a first and comprehensive picture of OBCD applications in CHD, facilitating the establishment of future research directions. Highlights: OBCD-CHD works were analysed quanti-/qualitatively to define research trends. Bibliometrics analysis of metabolomic/lipidomics works revealed: High research outputs/impacts on nutrition, shift to multi-omics approaches. Multidisciplinary collaborations and computational advancements are vital. Review showed scarce application of glycomics/metallomics despite great potential.