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Foods (Basel, Switzerland)2023; 12(19); 3634; doi: 10.3390/foods12193634

UPLC-Q-Exactive Orbitrap-MS-Based Untargeted Lipidomic Analysis of Lipid Molecular Species in Spinal Cords from Different Domesticated Animals.

Abstract: Lipids are crucial components for the maintenance oof normal structure and function in the nervous system. Elucidating the diversity of lipids in spinal cords may contribute to our understanding of neurodevelopment. This study comprehensively analyzed the fatty acid (FA) compositions and lipidomes of the spinal cords of eight domesticated animal species: pig, cattle, yak, goat, horse, donkey, camel, and sika deer. Gas chromatography-mass spectrometry (GC-MS) analysis revealed that saturated fatty acids (SFAs) and monounsaturated fatty acids (MUFAs) were the primary FAs in the spinal cords of these domesticated animals, accounting for 72.54-94.23% of total FAs. Notably, oleic acid, stearic acid and palmitic acid emerged as the most abundant FA species. Moreover, untargeted lipidomics by UPLC-Q-Exactive Orbitrap-MS demonstrated that five lipid classes, including glycerophospholipids (GPs), sphingolipids (SPs), glycerolipids (GLs), FAs and saccharolipids (SLs), were identified in the investigated spinal cords, with phosphatidylcholine (PC) being the most abundant among all identified lipid classes. Furthermore, canonical correlation analysis showed that PC, PE, TAG, HexCer-NS and SM were significantly associated with genome sequence data. These informative data provide insight into the structure and function of mammalian nervous tissues and represent a novel contribution to lipidomics.
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Publication Date: 2023-09-30 PubMed ID: 37835287PubMed Central: PMC10572684DOI: 10.3390/foods12193634Google Scholar: Lookup
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Summary

This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.

Research Overview

  • This study investigated the variety and composition of lipids in the spinal cords of eight domesticated animal species using advanced analytical techniques.
  • The findings enhance our understanding of lipid roles in nervous system structure and function across mammals.

Background and Importance

  • Lipids are fundamental components of the nervous system, crucial for maintaining its normal structure and ensuring proper function.
  • Understanding the diversity of lipid molecules in the spinal cord may provide insights into neurodevelopment and neurological health.

Objective of the Study

  • To comprehensively analyze and compare fatty acid (FA) compositions and the lipid molecular species present in the spinal cords of several domesticated animals.
  • To explore possible correlations between lipid molecular profiles and genomic data of these species.

Methods

  • Sample Selection:
    • Spinal cords were obtained from eight domesticated animal species: pig, cattle, yak, goat, horse, donkey, camel, and sika deer.
  • Fatty Acid Analysis:
    • Gas chromatography-mass spectrometry (GC-MS) was used to determine the fatty acid compositions.
  • Lipidomic Profiling:
    • Untargeted lipidomics was performed using ultra-performance liquid chromatography coupled with Q-Exactive Orbitrap mass spectrometry (UPLC-Q-Exactive Orbitrap-MS).
    • This technique allowed identification and quantification of a wide range of lipid molecular species across multiple lipid classes.
  • Statistical and Correlation Analysis:
    • Canonical correlation analysis was applied to examine relationships between lipid profiles and genomic sequence data from the respective animals.

Key Findings

  • Fatty Acid Composition:
    • Saturated fatty acids (SFAs) and monounsaturated fatty acids (MUFAs) dominated the spinal cord lipid profiles, accounting for 72.54% to 94.23% of total fatty acids across species.
    • Oleic acid (a MUFA), stearic acid, and palmitic acid (SFAs) were consistently the most abundant fatty acid species in all spinal cord samples.
  • Lipid Molecular Species:
    • Five major lipid classes were identified: glycerophospholipids (GPs), sphingolipids (SPs), glycerolipids (GLs), fatty acids (FAs), and saccharolipids (SLs).
    • Phosphatidylcholine (PC), a glycerophospholipid, was the most abundant lipid class across all studied species.
  • Associations with Genome Data:
    • Canonical correlation analysis revealed significant associations between certain lipid species (including PC, phosphatidylethanolamine (PE), triacylglycerol (TAG), hexosylceramide non-hydroxy fatty acid-sphingosine (HexCer-NS), and sphingomyelin (SM)) and genome sequencing data of the animals.
    • This suggests a potential genetic basis influencing lipid composition in spinal cords.

Significance and Contributions

  • The study provides a comprehensive lipidomic profile of spinal cords across multiple domesticated mammals, filling gaps in knowledge about nervous system lipid diversity.
  • It highlights the predominance of particular fatty acids and lipid classes, supporting their crucial roles in nervous tissue structure and function.
  • The correlation between lipid profiles and genomic information offers a novel approach to understanding species-specific lipid metabolism and nervous system biology.
  • These data serve as a valuable resource for future neurobiological and lipidomic research, potentially advancing studies into neurodevelopmental processes and diseases.

Cite This Article

APA
Li N, Xu L, Li H, Liu Z, Mo H, Wu Y. (2023). UPLC-Q-Exactive Orbitrap-MS-Based Untargeted Lipidomic Analysis of Lipid Molecular Species in Spinal Cords from Different Domesticated Animals. Foods, 12(19), 3634. https://doi.org/10.3390/foods12193634

Publication

Foods (Basel, Switzerland)
ISSN: 2304-8158
NlmUniqueID: 101670569
Country: Switzerland
Language: English
Volume: 12
Issue: 19
PII: 3634

Researcher Affiliations

Li, Na
  • College of Food Science and Engineering, Central South University of Forestry and Technology, Changsha 410004, China.
  • School of Food Science and Engineering, Shaanxi University of Science and Technology, Xi'an 710021, China.
Xu, Long
  • College of Food Science and Technology, Henan Agricultural University, Zhengzhou 450002, China.
Li, Hongbo
  • School of Food Science and Engineering, Shaanxi University of Science and Technology, Xi'an 710021, China.
Liu, Zhenbin
  • School of Food Science and Engineering, Shaanxi University of Science and Technology, Xi'an 710021, China.
Mo, Haizhen
  • School of Food Science and Engineering, Shaanxi University of Science and Technology, Xi'an 710021, China.
Wu, Yue
  • College of Food Science and Engineering, Central South University of Forestry and Technology, Changsha 410004, China.

Grant Funding

  • 232102110144 / Key R & D and Promotion Project of Henan Province

Conflict of Interest Statement

The authors declare no conflict of interest.

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Citations

This article has been cited 2 times.
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