Hepatic Metabolic Profiling
Hepatic Metabolic Profiling - Related Videos
05:41
Metabolic Profile Analysis of Zebrafish Embryos
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Cited by 42 •
2013
Zebrafish represent a powerful vertebrate model that has been under-utilised for metabolic studies. Here we describe a rapid way to measure the in vivo metabolic profile of developing zebrafish that allows the comparison of different mitochondrial function parameters between genetically or pharmacologically manipulated embryos, thereby increasing the applicability of this organism.
07:54
Assessing Hepatic Metabolic Changes During Progressive Colonization of Germ-free Mouse by 1H NMR Spectroscopy
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Cited by 6 •
2011
A progressive colonization procedure is described to further assess its impact on the host hepatic metabolism. Colonization is monitored non invasively by evaluating the urinary excretion of microbial co-metabolites by NMR-based metabolic profiling while hepatic metabolism is assessed by High Resolution Magic Angle Spinning (HR MAS) NMR profiling of intact biopsy.
09:16
FIBS-enabled Noninvasive Metabolic Profiling
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2014
A description of how to calibrate Förster Resonance Energy Transfer integrated biological sensors (FIBS) for in situ metabolic profiling is presented. The FIBS can be used to measure intracellular levels of metabolites noninvasively aiding in the development of metabolic models and high throughput screening of bioprocess conditions.
08:21
Dissection of the Mouse Pancreas for Histological Analysis and Metabolic Profiling
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Cited by 14 •
2017
This video article provides a detailed demonstration of the procedures required to successfully remove the pancreas from a mouse by dissection for histological analysis and metabolic profiling.
07:46
Sheathless Capillary Electrophoresis–Mass Spectrometry for Metabolic Profiling of Biological Samples
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Cited by 10 •
2016
A protocol for metabolic profiling of biological samples by capillary electrophoresis–mass spectrometry using a sheathless porous tip interface design is presented.
FAQs
The measured metabolite pattern can indicate changes in energy production, lipid metabolism, amino acid turnover, and detoxification. Examining these pathway-linked molecules helps researchers move beyond a general observation of metabolic disruption and identify which biochemical functions are changing. In infection or inflammation studies, that resolution can connect altered liver metabolism with disease progression, immune activity, or recovery.
Pathogens, inflammatory signals, and immune responses can reshape the concentrations of metabolites associated with major liver pathways. The resulting pattern may reflect how host defenses and infection-related processes affect energy use, lipid handling, amino acid turnover, or detoxification. Comparing these signatures across disease states can clarify relationships between immune activity, host metabolism, and pathogen interaction.
A single metabolite rarely represents the full metabolic response. Measuring molecules across energy, lipid, amino acid, and detoxification pathways provides a broader pattern of biochemical change. That pattern can help distinguish coordinated pathway effects from isolated alterations and supports interpretation of how infection, inflammatory signaling, or treatment influences the liver’s metabolic state.
Researchers first obtain a relevant liver tissue, cell, or biological-fluid sample, then measure its small-molecule composition with an analytical platform such as mass spectrometry or nuclear magnetic resonance. Detected metabolites are quantified and interpreted according to their pathway associations. Comparing profiles between conditions can reveal metabolic changes linked to infection, immune responses, treatment, or recovery.
This approach is useful when researchers need to examine how pathogens or immune responses affect liver biochemistry. It can support studies of host–pathogen interactions, characterize metabolic changes accompanying disease progression, and assess whether treatment alters the observed metabolic state. The same measurements can also help investigate biochemical patterns associated with recovery.
Metabolic signatures provide patterns of small-molecule changes that can be evaluated for association with disease progression, immune activity, treatment effects, or recovery. Molecules or coordinated pathway patterns that consistently distinguish conditions may serve as candidate biomarkers. In infection research, such candidates can help connect measurable biochemical changes with host responses and clinically relevant disease states.