Food metabolomics: from farm to human

Kim, Sooah; Kim, Jungyeon; Yun, Eun Ju; Kim, Kyoung Heon

doi:10.1016/j.copbio.2015.09.004

Cited by 109 publications

(75 citation statements)

References 89 publications

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“…This includes significant improvements in the ability to identify many environmental contaminants and toxins [95], significant advances in food and nutrient characterization [7; 6], the identification of many novel biomarkers for disease risk including risk markers for diabetes [54], heart disease [96] and cancer [58] as well as promising leads for a variety of drugs and therapies [97]. Metabolomics is also well-positioned to provide some important advances in both livestock research and the livestock industry, especially as it relates to livestock health, breeding and production.…”

Section: Resultsmentioning

confidence: 99%

“…Recent advances in both analytical chemistry and metabolite data analysis techniques are now making metabolomics far more accessible to a wider range of research disciplines. Indeed, metabolomics is now routinely used in biomedical research (for biomarker discovery and disease mechanism research), food and nutritional analysis, crop characterization and environmental monitoring [5; 6; 7; 8]. As a result, the field of metabolomics has experienced very rapid growth with just two papers published on the subject in 1999 to more than 2400 in 2015.…”

Section: Introductionmentioning

confidence: 99%

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Livestock metabolomics and the livestock metabolome: A systematic review

Goldansaz¹,

Guo²,

Sajed³

et al. 2017

PLoS ONE

269

247

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Metabolomics uses advanced analytical chemistry techniques to comprehensively measure large numbers of small molecule metabolites in cells, tissues and biofluids. The ability to rapidly detect and quantify hundreds or even thousands of metabolites within a single sample is helping scientists paint a far more complete picture of system-wide metabolism and biology. Metabolomics is also allowing researchers to focus on measuring the end-products of complex, hard-to-decipher genetic, epigenetic and environmental interactions. As a result, metabolomics has become an increasingly popular “omics” approach to assist with the robust phenotypic characterization of humans, crop plants and model organisms. Indeed, metabolomics is now routinely used in biomedical, nutritional and crop research. It is also being increasingly used in livestock research and livestock monitoring. The purpose of this systematic review is to quantitatively and objectively summarize the current status of livestock metabolomics and to identify emerging trends, preferred technologies and important gaps in the field. In conducting this review we also critically assessed the applications of livestock metabolomics in key areas such as animal health assessment, disease diagnosis, bioproduct characterization and biomarker discovery for highly desirable economic traits (i.e., feed efficiency, growth potential and milk production). A secondary goal of this critical review was to compile data on the known composition of the livestock metabolome (for 5 of the most common livestock species namely cattle, sheep, goats, horses and pigs). These data have been made available through an open access, comprehensive livestock metabolome database (LMDB, available at http://www.lmdb.ca). The LMDB should enable livestock researchers and producers to conduct more targeted metabolomic studies and to identify where further metabolome coverage is needed.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Livestock metabolomics and the livestock metabolome: A systematic review

Goldansaz¹,

Guo²,

Sajed³

et al. 2017

PLoS ONE

269

247

View full text Add to dashboard Cite

show abstract

“…In addition, blood samples of SHPT group and HC group in our study were collected at the moment before surgery. Due to strict dietary control before surgery, metabolomics results were relatively less affected by food intake, since foods or dietary patterns could affect various metabolisms such as amino acid and lipid metabolism …”

Section: Discussionmentioning

confidence: 99%

Plasma metabolite biomarkers related to secondary hyperparathyroidism and parathyroid hormone

Shen

Xiang

et al. 2019

J of Cellular Biochemistry

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Background Hyperphosphatemia, hypocalcemia, and elevation of parathyroid hormone (PTH) are typical abnormalities of uremic patients with Secondary hyperparathyroidism (SHPT). However, metabolic imbalance associated with SHPT is not well understood. Methods A total of 15 SHPT patients with an intact parathyroid hormone (iPTH) level > 600 pg/mL were set as preoperative (PR) group, 15 age‐ and gender‐matched controls who had undergone parathyroidectomy plus forearm transplantation because of hyperparathyroidism and achieved an iPTH level <150 pg/mL were set as postoperative (PO) group. Metabolite profiling of these 30 uremic patients and five healthy controls (HC) was performed using ultra performance liquid chromatography‐mass spectrometry. Results Five differential metabolites, including allyl isothiocyanate, L‐phenylalanine, D‐Aspartic acid, indoleacetaldehyde, and D‐galactose correlated with PTH were identified in this study. Taking them as a biomarker signature, PR group can be distinguished from HC group with an area under the curve (AUC) of 0.947 (95% CI, 0.76‐1) and PO group with an AUC of 0.6 (95% CI, 0.38‐0.807). Conclusions The serum metabolome correlated with PTH is successfully demonstrated for a better understanding of the pathogenesis of SHPT.

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“…; Kim et al . ). For instance, metabolomics has thus far proved useful for: identifying degradation of specific nutrients, flavours and aromas in cold‐stored fish (Castejón et al .…”

Section: Metabolomics Applications In Aquaculturementioning

confidence: 97%

Showcasing metabolomic applications in aquaculture: a review

Young

Alfaro

2016

Reviews in Aquaculture

132

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Aquaculture production is currently challenged to meet the growing demands for seafood protein throughout the world. To achieve this growth in an efficient, safe and sustainable manner, novel tools and applications will need to be incorporated at each step of the production line. A variety of 'omics' (e.g., transcriptomics, proteomics, metabolomics) applications have already begun to emerge in aquaculture research with extreme success. A promising new 'omics' approach is metabolomics, which aims to use metabolite profiles to identify biomarkers indicative of physiological responses of living samples (e.g., whole organism, tissues, cells) to environmental or culture conditions. One of the benefits of this approach is that it uses a broad scan of biological conditions to identify often unexpected problem or risk areas to focus management attention. In this contribution, we have selected relevant research examples to showcase the applications of metabolomics in aquaculture in four major areas: hatchery production, nutrition and diet, disease and immunology, and food safety and quality. The novelty of this approach is highlighted by the fact that we have cited the majority of published papers in this field, and these are all recent (within the last decade) contributions.

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Food metabolomics: from farm to human

Cited by 109 publications

References 89 publications

Livestock metabolomics and the livestock metabolome: A systematic review

Livestock metabolomics and the livestock metabolome: A systematic review

Plasma metabolite biomarkers related to secondary hyperparathyroidism and parathyroid hormone

Showcasing metabolomic applications in aquaculture: a review

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