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Quantitative metabolomics of plasma and tissue interstitial fluids from mice

ABSTRACT:

This study presents quantitative metabolomic measurements of plasma and tissue interstitial fluids (IF) collected from healthy C57BL/6J mice. Using liquid chromatography–mass spectrometry (LC–MS) and external chemical standards, absolute concentrations were determined for over one hundred polar metabolites spanning major biochemical pathways. Samples were obtained from plasma, cerebrospinal fluid, and interstitial fluids of multiple organs, including liver, lung, pancreas, kidney, and mammary fat pad. These data provide a quantitative reference for extracellular metabolite levels in physiologic mouse tissues and enable comparison across systemic and local microenvironments relevant to metabolic physiology and cancer biology.

INSTRUMENT(S): Liquid Chromatography MS - alternating - HILIC

PROVIDER: MTBLS13165 | MetaboLights | 2025-12-30

REPOSITORIES: MetaboLights

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Source:

			Action	DRS
	a_MTBLS13165_LC-MS_alternating_hilic_metabolite_profiling.txt	Txt
	i_Investigation.txt	Txt
	m_MTBLS13165_LC-MS_alternating_hilic_metabolite_profiling_v2_maf.tsv	Tabular
	s_MTBLS13165.txt	Txt

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Project description:HIGHTLIGHTS-Improved protocol for ISF collection using microdialysis and CSF sampling in mice.-Combined LC‒MS/MS proteomics ISF and CSF analyses for the validation and description of potential new AD biomarkers.-ISF proteomics analysis to track disease progression at the neuronal and glial levels.-Identification of new biomarker candidates for Alzheimer’s disease.ABSTRACTBackground: Mass spectrometry (MS)-based cerebrospinal fluid (CSF) proteomics is an important method for discovering biomarkers of neurodegenerative diseases. CSF serves as a reservoir for interstitial fluid (ISF), and extensive communication between the two fluid compartments helps to remove waste products from the brain.New method: We performed proteomic analyses of both CSF and ISF fluid compartments using intracerebral microdialysis to validate and detect novel biomarkers of Alzheimer's disease (AD) in APPtg and C57Bl/6J control mice.Results: We identified up to 625 proteins in ISF and 4,483 proteins in CSF samples. By comparing the biofluid profiles of APPtg and C57Bl/6J mice, we detected 37 and 108 significantly up- and downregulated candidates, respectively. In ISF, 7 highly regulated proteins, such as Gfap, Aldh1l1, Gstm1, and Txn, have already been implicated in AD progression, whereas in CSF, 9 out of 14 highly regulated proteins, such as Apba2, Syt12, Pgs1 and Vsnl1, have also been validated to be involved in AD pathogenesis. In addition, we also detected new interesting regulated proteins related to the control of synapses and neurotransmission (Kcna2, Cacng3, and Clcn6) whose roles as AD biomarkers should be further investigated.Comparison with existing methods: This newly established combined protocol provides better insight into the mutual communication between ISF and CSF as an analysis of tissue or CSF compartments alone.Conclusions: The use of multiple fluid compartments, ISF and CSF, for the detection of their biological communication enables better detection of new promising AD biomarkers.KEYWORDSAlzheimer’s disease, CSF, ISF, proteomics, biomarkers, microdialysis, mass spectrometry, protein identification, neurodegeneration, brain fluids, expression profilesDATA AVAILABILITYDOI: 10.17605/OSF.IO/VWQ58PUBLICATIONS using this dataset:1)Gorska et al. 2024, Journal of Neuroscience Methodshttps://doi.org/10.1016/j.jneumeth.2024.1102392) to come

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Quantitative metabolomics of plasma and tissue interstitial fluids from mice

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