Using an integrated feature-based molecular network and lipidomics approach to reveal the differential lipids in yak shanks and flanks

Li, Weili; Wang, Jiaqi; Zhang, Chengxue; Wang, Ning; Zhang, Cong; Chen, Wuzhi; Wu, Tao

doi:10.1016/j.foodchem.2022.134352

Cited by 11 publications

(5 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…An upgraded version of MN is Feature-Based Molecular Networks (FBMN), which incorporates retention time and MS 2 data to investigate unidentified constituents. FBMN provides a more comprehensive understanding of metabolite structures and relationships, making it easier to identify specific substructures or chemical modifications [13][14][15][16] . Additionally, VirtualTaste, a web-based platform, employs machine learning algorithms to predict the three fundamental taste sensations of compounds-sweet, bitter, and sour [17] .…”

Section: The Molecular Network (Mn) Is a Crucial Component Of The Glo...mentioning

confidence: 99%

Discovery of taste-active metabolites in Lactobacillus plantarum-fermented chili sauce via web-based computational analysis

Wang,

Mei,

Jin

et al. 2024

Food Science and Human Wellness

View full text Add to dashboard Cite

The utilization of Lactobacillus plantarum (LP) in chili sauce production is well-known for its capacity to enhance product quality and sensory attributes. However, there is still limited knowledge regarding the taste-active metabolites in the sauce. To bridge this gap, our study employed metabolomics and web-based computational tools to investigate the dynamic changes of taste-active metabolites during chili sauce fermentation. By leveraging the advantages of the feature-based molecular network (FBMN), we conducted a rapid annotation of metabolites, successfully identifying 205 metabolites, a considerable portion of which were previously unreported. Through the utilization of the VirtualTaste tool, we identified dihydrosphingosine, lactic acid, isoleucine, phytosphingosine, and gluconic acid as potential taste indicators for quality control. Pathway enrichment analysis further supported their primary involvement in key biochemical pathways, including amino acid tRNA biosynthesis, phenylalanine, tyrosine, tryptophan biosynthesis, and sphingolipid metabolism. This investigation provides valuable insights into the underlying mechanisms contributing to the distinctive flavor profile of chili sauce.

show abstract

Section: The Molecular Network (Mn) Is a Crucial Component Of The Glo...mentioning

confidence: 99%

Discovery of taste-active metabolites in Lactobacillus plantarum-fermented chili sauce via web-based computational analysis

Wang,

Mei,

Jin

et al. 2024

Food Science and Human Wellness

View full text Add to dashboard Cite

show abstract

“…Pueraria species [120] , and lipids in yak shanks and flanks [121] , have also been presented and summarized in Table 2. Building blocks as specific molecular scaffolds are based on the construction of various small functional groups.…”

Section: Feature-based Mn (Fbmn) Strategy In the Gnps Analysismentioning

confidence: 99%

The application and perspective of NMR and MS based strategies for functional compounds mining in medicinal and dietary plants

Zhang,

Li,

Liang

et al. 2024

Food Science and Human Wellness

View full text Add to dashboard Cite

Medicinal and dietary plants provide numerous nutritional and functional compounds and also have various potential health benefits to humanity. The specific and efficient techniques for accurate identification of nutritional compounds and functional metabolites is crucial for the development of functional foods from medicinal and dietary plants. Nuclear magnetic resonance (NMR) and mass spectrometry (MS) are indispensable and essential technologies that provide an unsurpassed wealth of untargeted identification, quantitative and qualitative analysis, and structural information in the study of food and plant products. In the past decade, the rapid development of modern analytical technology has led to the emergence of new approaches and strategies for natural products discovery. Especially the application of novel NMR-and MS-based identification and dereplication strategies aided by artificial intelligence and machine learning algorithms have brought about a significant shift in the natural products discovery process. These developments and changes in the natural products filed have given us insights into how to accurately target and mining nutritional, functional, and bioactive compounds. Thus, we have summarized recent research on novel NMR and MS based strategies and methods focusing on functional compounds, accurate identification and efficient discovery mainly in medicinal and dietary plants. This review could provide a comprehensive perspective for a better understanding of novel strategies and methods based on NMR and MS technologies, which could provide valuable insights and ideas for functional compounds mining.

show abstract

“…Among, 9 lipid molecules (i.e., PE (18:0p/18:2), PG (16:0/18:1), PI (18:1/ 18:1), PC (18:1/18:2), PC (18:0e/18:1), PC (16:1/19:0), PC (16:0e/20:4), PI (18:0/20:4), and PE(16:0p/20:5)) were downregulated in pork samples with a period of cortisol residue. Generally, previous lipid quantification methods involved the area normalization method, 39 external standard, 40 semiquantification, 41 and internal standard. 42 Table S2 showed representative examples of lipid quantification in different meat matrices.…”

Section: Biological Network Of Cortisol−lipid Constructionmentioning

confidence: 99%

Spatiotemporal Variation of Residual Cortisol Obstructs Nutrient Acquisition in Animal-Derived Foods by Perturbing Glycerophospholipid Metabolism

Jia

Shi

2023

J. Agric. Food Chem.

View full text Add to dashboard Cite

Cortisol is inevitably secreted by pigs due to the physical and psychological stressors produced by mixed group transportation and preslaughter handling. Accumulated cortisol in animal tissues enters the human body through the food chain and entails potential risks to human health. An integrated lipidome and proteome analysis was conducted to investigate the effect of the spatiotemporal variation of residual cortisol on nutrient acquisition in pork. A total of 55 crucial lipid molecules associated with cortisol residue were identified based on debiased sparse partial correlation analysis. Label-free proteomics was applied to screen 58 differentially abundant proteins (including phospholipase A 2 , lysophosphatidylcholine acyltransferase, and CTP:phosphocholine cytidylyltransferase), indicating that cortisol residue perturbed the glycerophospholipid biosynthetic process and glycerophospholipid metabolic process. Cortisol induced downregulations of cPLA2 encoding genes and decreased phospholipase A 2 activity, resulting in the bioaccumulation of phosphatidylethanolamine (from 36.86 to 43.18 mg kg −1 ). Cortisol increased the activity of CTP:phosphocholine cytidylyltransferase by improving the availability of fatty acids and aggregating the inactive L-form (lipidindependent form) to the active H-form (lipid-associated form). The metabolic pathways perturbed by cortisol resulted in phosphatidylcholine degradation (from 93.73 to 58.28 mg kg −1 ) and lysophosphatidylcholine accumulation (from 3.39 to 5.16 mg kg −1 ). These findings indicated that cortisol residue deteriorated meat quality and obstructed nutrient acquisition in animal-origin foods.

show abstract

Using an integrated feature-based molecular network and lipidomics approach to reveal the differential lipids in yak shanks and flanks

Cited by 11 publications

References 29 publications

Discovery of taste-active metabolites in Lactobacillus plantarum-fermented chili sauce via web-based computational analysis

Discovery of taste-active metabolites in Lactobacillus plantarum-fermented chili sauce via web-based computational analysis

The application and perspective of NMR and MS based strategies for functional compounds mining in medicinal and dietary plants

Spatiotemporal Variation of Residual Cortisol Obstructs Nutrient Acquisition in Animal-Derived Foods by Perturbing Glycerophospholipid Metabolism

Contact Info

Product

Resources

About