Lipid profiling analyses from mouse models and human infants.
Lipid profiling analyses from mouse models and human infants.
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小鼠模型和人类婴儿的脂质分析分析。
DOI:
10.1016/j.xpro.2022.101679
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发表时间:
2022-12-16
期刊:
影响因子:
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通讯作者:
Koulman, Albert
中科院分区:
文献类型:
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作者:
Olga, Laurentya;Bobeldijk-Pastorova, Ivana;Bas, Richard C;Seidel, Florine;Snowden, Stuart G;Furse, Samuel;Ong, Ken K;Kleemann, Robert;Koulman, Albert
This protocol outlines a translational lipidomic approach to discover lipid biomarkers that could predict morphometric body and histological organ measurements (e.g., weight and adiposity gains) during specific stages of life (e.g., early life). We describe procedures ranging from animal experimentation and histological analyses to downstream analytical steps through lipid profiling, both in mice and humans. This protocol represents a reliable and versatile approach to translate and validate candidate lipid biomarkers from animal models to a human cohort. For complete details on the use and execution of this protocol, please refer to. Development of translatable dyslipidemic/obese animal models to mimic human physiology Lipidomics in mice before/after exposure to high-fat diet to capture lipid biomarkers Validating lipid biomarkers from mice to human infants (reflecting early life context) Lipid profiling analysis on dried blood spots obtained from heel-prick in infants Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics. This protocol outlines a translational lipidomic approach to discover lipid biomarkers that could predict morphometric body and histological organ measurements (e.g., weight and adiposity gains) during specific stages of life (e.g., early life). We describe procedures ranging from animal experimentation and histological analyses to downstream analytical steps through lipid profiling, both in mice and humans. This protocol represents a reliable and versatile approach to translate and validate candidate lipid biomarkers from animal models to a human cohort.