Milk biomarkers in relation to inherent and external factors based on metabolomics

Zhu, Dan; Kebede, Biniam; McComb, Kiri; Hayman, Alan R.; Chen, Gang; Frew, Russell

doi:10.1016/j.tifs.2020.12.012

Cited by 36 publications

(22 citation statements)

References 105 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A factor such the breed will produce a characteristic metabolomic profile in the milk, extendable to products made with it. Similarly, extrinsic factors, such as diet, geographical location, processing, or storage will have the same effect [58]. Correctly selected metabolites as biomarkers may be an excellent platform for the determination of adulterations in milk and dairy products.…”

Section: Authenticity Assurance Struggle Against Food Fraud and The Presence Of Undeclared Allergensmentioning

confidence: 99%

Foodomic-Based Approach for the Control and Quality Improvement of Dairy Products

et al. 2021

View full text Add to dashboard Cite

The food quality assurance before selling is a needed requirement intended for protecting consumer interests. In the same way, it is also indispensable to promote continuous improvement of sensory and nutritional properties. In this regard, food research has recently contributed with studies focused on the use of ‘foodomics’. This review focuses on the use of this technology, represented by transcriptomics, proteomics, and metabolomics, for the control and quality improvement of dairy products. The complex matrix of these foods requires sophisticated technology able to extract large amounts of information with which to influence their aptitude for consumption. Thus, throughout the article, different applications of the aforementioned technologies are described and discussed in essential matters related to food quality, such as the detection of fraud and/or adulterations, microbiological safety, and the assessment and improvement of transformation industrial processes (e.g., fermentation and ripening). The magnitude of the reported results may open the door to an in-depth transformation of the most conventional analytical processes, with the introduction of new techniques that allow a greater understanding of the biochemical phenomena occurred in this type of food.

show abstract

Section: Authenticity Assurance Struggle Against Food Fraud and The Presence Of Undeclared Allergensmentioning

confidence: 99%

Foodomic-Based Approach for the Control and Quality Improvement of Dairy Products

et al. 2021

View full text Add to dashboard Cite

show abstract

“…Similar to metabolomics ( 13 ), which studies the metabolic response (qualitative and quantitative changes in metabolites) of biological systems to an external stimuli ( 14 , 15 ), foodomics studies the changes in the chemical composition ( foodome ) of food systems as a function of external stimuli and seeks an impact of these changes on the nutritional value of food and subsequently on human health. The application of unbiased foodomics approaches is promising for screening milk chemical composition as a function of the feeding regime ( 16 , 17 ), identifying disease biomarkers ( 18 , 19 ), and assessing the overall milk quality ( 20 ) or for predicting the technological properties of milk in the dairy industry ( 21 , 22 ). A recent study showed that increased milk butanoic and hexanoic acid levels are related to methane production ( 23 ).…”

Section: Introductionmentioning

confidence: 99%

Goat Milk Foodomics. Dietary Supplementation of Sunflower Oil and Rapeseed Oil Modify Milk Amino Acid and Organic Acid Profiles in Dairy Goats

Vargas‐Bello‐Pérez

Khushvakov

et al. 2022

Front. Vet. Sci.

View full text Add to dashboard Cite

The dietary supplementation of vegetable oils is known to improve the dietary energy density as well as milk fatty acid profile; however, the impacts on the milk foodome is largely unknown. This study investigated the effect of two different sources of unsaturated fatty acids, rapeseed oil and sunflower oil, as a feeding supplement on the milk foodome from dairy goats. Nine Danish Landrace goats at 42 ± 5 days in milk were allocated to three treatment groups for 42 days with three animals per group. A control group received a basal diet made of forage and concentrate at an 85:15 ratio. On top of the basal diet, the second and third groups received rapeseed oil or sunflower oil supplements at 4% of dry matter, respectively. Goat milk was sampled on days 14, 21, and 42. The milk foodome was measured using gas chromatography–mass spectrometry and proton nuclear magnetic resonance spectroscopy. The milk levels of 2-hydroxyisovaleric acid, oxaloacetic acid, and taurine were higher in the milk from goats fed with sunflower oil compared to the control group. More glucose-1-phosphate was found in the milk from goats fed with rapeseed oil compared to the control group. Amino acids, valine and tyrosine, and 2-hydroxyisovaleric acid and oxaloacetic acid were higher in the sunflower group compared to the rapeseed group, while the milk from the rapeseed-fed goats had greater levels of ethanol and 2-oxoglutaric acid compared to the sunflower group. Thus, results show that foodomics is suitable for studying how milk chemistry changes as a function of feeding regime.

show abstract

“…Human milk is an ideal food for infant nutrition [25] because of the bioactive components of human milk, such as carbohydrates, proteins, and lipids [27]. Nutritional and nonnutritional bioactive components of human milk differ based on length, time, and stage of lactation [28]. The composition of bioactive components of human milk is complex and varies based on nutritional intake, diet, environmental influences, and many other factors that can impact human milk's nutritional value and safety [28].…”

Section: Introductionmentioning

confidence: 99%

Assessment of human milk in the era of precision health

Dastmalchi

Jones

et al. 2022

Current Opinion in Clinical Nutrition &Amp; Metabolic Care

View full text Add to dashboard Cite

Purpose of reviewPrecision health provides an unprecedented opportunity to improve the assessment of infant nutrition and health outcomes. Breastfeeding is positively associated with infant health outcomes, yet only 58.3% of children born in 2017 were still breastfeeding at 6 months. There is an urgent need to examine the application of precision health tools that support the development of public health interventions focused on improving breastfeeding outcomes.Recent findingsIn this review, we discussed the novel and highly sensitive techniques that can provide a vast amount of omics data and clinical information just by evaluating small volumes of milk samples, such as RNA sequencing, cytometry by time-of-flight, and human milk analyzer for clinical implementation. These advanced techniques can run multiple samples in a short period of time making them ideal for the routine clinical evaluation of milk samples.SummaryPrecision health tools are increasingly used in clinical research studies focused on infant nutrition. The integration of routinely collected multiomics human milk data within the electronic health records has the potential to identify molecular biomarkers associated with infant health outcomes.

show abstract

Milk biomarkers in relation to inherent and external factors based on metabolomics

Cited by 36 publications

References 105 publications

Foodomic-Based Approach for the Control and Quality Improvement of Dairy Products

Foodomic-Based Approach for the Control and Quality Improvement of Dairy Products

Goat Milk Foodomics. Dietary Supplementation of Sunflower Oil and Rapeseed Oil Modify Milk Amino Acid and Organic Acid Profiles in Dairy Goats

Assessment of human milk in the era of precision health

Contact Info

Product

Resources

About