• Applied Chemistry for Engineering
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• v.28 no.4
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• pp.397-403
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• 2017

The number of patients suffering from Alzheimer's disease is increasing year after year and almost approaching 15% of the total elderly population. Although it is critical to detect the early stage of Alzheimer's disease, which is a serious illness causing cognitive deficits, various existing diagnosis methods such as MRI, PET and CSF analysis could be the burdens for patients due to their high costs and long time to diagnosis. In order to tackle some of challenging issues for such existing diagnosis methods, extensive efforts have been made on developing fast and convenient biochip sensing methodologies for the diagnosis of Alzheimer's disease with a droplet of patient biofluids (e.g., blood). In this mini-review, we highlight some of the latest biochip sensing technologies that could qualitatively and quantitatively analyze blood biomarkers used for Alzheimer's disease diagnostics and discuss briefly related research trends and future aspects.

• Journal of the Korean Society of Food Science and Nutrition
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• v.43 no.2
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• pp.179-186
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• 2014

Metabolomics is the study of changes in the metabolic status of an organism as a consequence of drug treatment, environmental influences, nutrition, lifestyle, genetic variations, toxic exposure, disease, stress, etc, through global or comprehensive identification and quantification of every single metabolite in a biological system. Since most chronic diseases have been demonstrated to be linked to nutrition, nutritional metabolomics has great potential for improving our understanding of the relationship between disease and nutritional status, nutrient, or diet intake by exploring the metabolic effects of a specific food challenge in a more global manner, and improving individual health. In particular, metabolite profiling of biofluids, such as blood, urine, or feces, together with multivariate statistical analysis provides an effective strategy for monitoring human metabolic responses to dietary interventions and lifestyle habits. Therefore, studies of nutritional metabolomics have recently been performed to investigate nutrition-related metabolic pathways and biomarkers, along with their interactions with several diseases, based on animal-, individual-, and population-based criteria with the goal of achieving personalized health care in the future. This article introduces analytical technologies and their application to determination of nutritional phenotypes and nutrition-related diseases in nutritional metabolomics.

• BMB Reports
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• v.51 no.1
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• pp.14-20
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• 2018

Biomedical research involving nanoparticles has produced useful products with medical applications. However, the potential toxicity of nanoparticles in biofluids, cells, tissues, and organisms is a major challenge. The '-omics' analyses provide molecular profiles of multifactorial biological systems instead of focusing on a single molecule. The 'omics' approaches are necessary to evaluate nanotoxicity because classical methods for the detection of nanotoxicity have limited ability in detecting miniscule variations within a cell and do not accurately reflect the actual levels of nanotoxicity. In addition, the 'omics' approaches allow analyses of in-depth changes and compensate for the differences associated with high-throughput technologies between actual nanotoxicity and results from traditional cytotoxic evaluations. However, compared with a single omics approach, integrated omics provides precise and sensitive information by integrating complex biological conditions. Thus, these technologies contribute to extended safety evaluations of nanotoxicity and allow the accurate diagnoses of diseases far earlier than was once possible in the nanotechnology era. Here, we review a novel approach for evaluating nanotoxicity by integrating metabolomics with metabolomic profiling and transcriptomics, which is termed "metabotranscriptomics."

• Animal Bioscience
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• v.34 no.2
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• pp.213-222
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• 2021

Objective: The metabolites that constitute the rumen fluid and milk in dairy cattle were analyzed using proton nuclear magnetic resonance (1H-NMR) spectroscopy and compared with the results obtain for other dairy cattle herds worldwide. The aim was to provide basic dataset for facilitating research on metabolites in rumen fluid and milk. Methods: Six dairy cattle were used in this study. Rumen fluid was collected using a stomach tube, and milk was collected using a pipeline milking system. The metabolites were determined by 1H-NMR spectroscopy, and the obtained data were statistically analyzed by principal component analysis, partial least squares discriminant analysis, variable importance in projection scores, and metabolic pathway data using Metaboanalyst 4.0. Results: The total numbers of metabolites in rumen fluid and milk were measured to be 186 and 184, and quantified as 72 and 109, respectively. Organic acid and carbohydrate metabolites exhibited the highest concentrations in rumen fluid and milk, respectively. Some metabolites that have been associated with metabolic diseases (acidosis and ketosis) in cows were identified in rumen fluid, and metabolites associated with ketosis, somatic cell production, and coagulation properties were identified in milk. Conclusion: The metabolites measured in rumen fluid and milk could potentially be used to detect metabolic diseases and evaluate milk quality. The results could also be useful for metabolomic research on the biofluids of ruminants in Korea, while facilitating their metabolic research.

• KSBB Journal
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• v.24 no.2
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• pp.113-121
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• 2009

As one of the new areas of 'omics' technology, there is increasing interest in metabolomics, which involves the analysis of low-molecular-weight compounds in cells, tissues, and biofluids, and considers interactions within various organisms and reactions of external chemicals with those organisms. However, metabolomics research is still at a fundamental stage in Korea. Therefore, the purpose of this study was to establish a strategic long-term plan to revitalize the national metabolomics approach and obtain the elementary data necessary to determine a policy for effectively supporting metabolomics research. These investigations clarified the state of metabolomics study both in Korea and internationally, from which we attempted to find the potentiality and fields where a metabolomics approach would be applicable, such as in medical science. We also discuss strategies for developing metabolomics research. This study revealed that promoting metabolomics in Korea requires cooperation with metabolomics researchers, acquisition of advanced technology, capital investment in metabolomics approach, establishment of metabolome database, and education of metabolome analysis experts. This would reduce the gap between the national and international levels of metabolomics research, with the resulting developments in metabolomics having the potential to greatly contribute to promoting biotechnology in Korea.