Sample Submission Guidelines Inquiry
Request a Quote

Mitochondrial Metabolomics Service — Targeted and Untargeted Profiling of TCA Cycle, Acylcarnitines, and OXPHOS Metabolites

Mitochondrial metabolomics requires organelle-level resolution to capture TCA cycle intermediates, acylcarnitines, OXPHOS metabolites, and mitochondrial lipids that whole-cell extracts dilute below detection limits. Our service combines mitochondrial isolation, targeted LC-MS/MS panels, untargeted LC-HRMS discovery, and GC-MS profiling to deliver organelle-resolved metabolic data for drug toxicity assessment, metabolic disease research, and cancer metabolism studies.

Four complementary panels: TCA cycle intermediates, acylcarnitine/carnitine, OXPHOS and redox, and mitochondrial lipid signaling

Mitochondrial isolation from tissue, cells, and biofluids — organelle-resolved, not whole-cell averaged

Dual-platform: LC-MS/MS for polar metabolites and GC-MS for organic acids and fatty acid derivatives

Drug toxicity focus: identify mitochondrial dysfunction biomarkers (citrate accumulation, acylcarnitine shifts, NAD+/NADH ratio)

Absolute quantification with isotopically labeled internal standards per analyte class

Mitochondrial Metabolomics Service

Why Mitochondrial Metabolomics Matters for Drug Toxicity and Metabolic Disease

Mitochondria house the TCA cycle, oxidative phosphorylation (OXPHOS), and fatty acid beta-oxidation. When drugs, toxins, or genetic mutations disrupt these processes, metabolic changes appear first at the organelle level — often before whole-cell or biofluid metabolomics shows detectable shifts. However, whole-cell metabolomics dilutes mitochondrial-specific signals below detection limits, because mitochondria occupy only 10 to 25 percent of cell volume. Our service combines mitochondrial isolation with targeted LC-MS/MS, untargeted LC-HRMS, and GC-MS profiling to deliver organelle-resolved metabolic data for drug toxicity assessment, metabolic disease research, and cancer metabolism studies.

Targeted mitochondrial metabolomics by LC-MS/MS and GC-MS enables you to:

  • Quantify TCA cycle intermediates — citrate, isocitrate, alpha-ketoglutarate, succinate, fumarate, malate, and oxaloacetate — as individual metabolites, not a summed pool, to identify enzymatic bottleneck points
  • Profile acylcarnitines — from acetylcarnitine (C2) to palmitoylcarnitine (C16) and stearoylcarnitine (C18) — as direct readouts of CPT1/CPT2 activity and mitochondrial fatty acid oxidation flux
  • Measure redox metabolites — NAD+, NADH, NADP+, NADPH, FAD, and reduced glutathione — to assess electron transport chain function and oxidative stress at the metabolite level
  • Detect drug-induced mitochondrial toxicity — citrate accumulation, acylcarnitine depletion, and NAD+/NADH ratio shifts are early biomarkers of complex I inhibition, beta-oxidation blockade, and OXPHOS uncoupling

Mitochondrial Metabolomics Challenges — Organelle Resolution vs Whole-Cell Averaging

Most metabolomics services profile whole-cell or whole-tissue extracts — which averages mitochondrial signals with the far more abundant cytoplasmic pool. If a drug inhibits complex I and acylcarnitines accumulate inside mitochondria, this signal is diluted below significance in a whole-cell extract, making acylcarnitine profiling unreliable without mitochondrial isolation. Creative Proteomics resolves this with a mitochondrial isolation-first approach combined with targeted LC-MS/MS panels:

  • Organelle-resolved, not whole-cell averaged: We isolate mitochondria from tissue or cells using differential centrifugation with density gradient purification, then extract metabolites directly from the mitochondrial pellet. This enriches mitochondrial-specific metabolites 5 to 20 fold compared to whole-cell extracts, depending on the analyte.
  • Four complementary panels from one isolation: Your mitochondrial sample is split into four targeted LC-MS/MS and GC-MS panels — TCA cycle, acylcarnitine/carnitine, OXPHOS and redox, and mitochondrial lipids — providing comprehensive organelle-level coverage without duplicate sample submissions.
  • Drug toxicity biomarker focus: Our panels are designed around the metabolite shifts most commonly reported in drug-induced mitochondrial toxicity studies — citrate accumulation (TCA cycle bottleneck), acylcarnitine depletion (CPT1 inhibition), NAD+/NADH ratio collapse (complex I inhibition), and cardiolipin remodeling (membrane damage).

Mitochondrial Metabolite Detection Panels

Our mitochondrial metabolomics service offers four complementary panels — deployable independently or together from a single mitochondrial isolation. Each panel includes class-specific isotopically labeled internal standards and per-analyte multi-point calibration for TCA cycle metabolite analysis, acylcarnitine profiling, OXPHOS metabolite quantification, and mitochondrial lipid characterization.

Panel 1: TCA Cycle Intermediates (LC-MS/MS)

Metabolite Pathway Position Biological Context
Pyruvate Glycolysis to TCA entry point Pyruvate dehydrogenase (PDH) substrate; accumulates when PDH is inhibited
Citrate TCA entry; condensation product Accumulates when isocitrate dehydrogenase or aconitase is inhibited; exported for lipogenesis
Isocitrate TCA; citrate isomer Substrate of isocitrate dehydrogenase (IDH); mutated in gliomas and AML
Alpha-ketoglutarate TCA; oxidative decarboxylation IDH product; glutaminolysis anaplerotic input; cofactor for dioxygenases
Succinate TCA; SDH (Complex II) substrate Accumulates when complex II is inhibited; oncometabolite in SDH-deficient tumors
Fumarate TCA; hydration product Accumulates in fumarate hydratase-deficient tumors; epigenetic modifier
Malate TCA; pre-oxaloacetate Malate-aspartate shuttle; gluconeogenic substrate
Oxaloacetate TCA; condensation partner Condenses with acetyl-CoA to form citrate; rapidly decarboxylated, requires specialized extraction
Acetyl-CoA TCA fuel; PDH and beta-oxidation product Primary carbon entry into TCA; depleted when PDH or beta-oxidation is inhibited

Panel 2: Acylcarnitine and Carnitine Profile (LC-MS/MS)

Acylcarnitine Chain Length FAO Pathway Position Toxicological Significance
Free carnitine (C0) Free base Carnitine shuttle substrate Depleted when dietary carnitine deficiency or OCTN2 transporter defect; C0/acetylcarnitine ratio indicates FAO flux
Acetylcarnitine (C2) Short-chain Acetyl-CoA export product Elevated in TCA cycle bottleneck (citrate accumulation); primary product of acetyl-CoA carboxylase feedback
Propionylcarnitine (C3) Short-chain Odd-chain FAO product Elevated in propionic acidemia and BCAA catabolism defects; gut microbiome marker
Butyrylcarnitine (C4) Short-chain Even-chain FAO product Elevated in short-chain acyl-CoA dehydrogenase (SCAD) deficiency
Octanoylcarnitine (C8) Medium-chain MCAD substrate Diagnostic marker for medium-chain acyl-CoA dehydrogenase (MCAD) deficiency; drug-induced medium-chain FAO inhibition
Decanoylcarnitine (C10) Medium-chain MCAD product Accumulates when MCAD is inhibited; valproic acid toxicity marker
Palmitoylcarnitine (C16) Long-chain CPT1 substrate Accumulates when CPT2 is inhibited; depleted when CPT1 is blocked by malonyl-CoA (drug-induced)
Stearoylcarnitine (C18) Long-chain CPT1 substrate Long-chain FAO marker; ratio C16/C18 indicates enzyme specificity shifts

Custom panels: add specific acylcarnitine species (e.g., C5-OH, C3-DC, C4-DC, C5-DC, C12-DC, C14-DC, C16-OH, C18-OH), integrate with fatty acid metabolism profiling, or combine with metabolic flux analysis using 13C-labeled substrates. Contact us with your target list during study design.

Panel 3: OXPHOS and Redox Metabolites (LC-MS/MS)

Metabolite Role in OXPHOS Disease and Toxicity Relevance
NAD+ and NADH Electron carrier for Complex I NAD+/NADH ratio collapses in Complex I inhibition (rotenone, metformin); aging biomarker
NADP+ and NADPH Reductive biosynthesis and antioxidant defense NADPH depletion impairs glutathione recycling; oxidative stress marker
FAD and FADH2 Electron carrier for Complex II (SDH) FADH2 accumulates when Complex II is inhibited; succinate dehydrogenase deficiency
CoQ10 (ubiquinone/ubiquinol) Electron shuttle between Complex I/II and Complex III Depleted by statins (HMG-CoA reductase inhibitors); redox status indicates ETC function
Glutathione (GSH/GSSG) Mitochondrial antioxidant defense GSH/GSSG ratio indicates mitochondrial oxidative stress; depleted in acetaminophen toxicity
ATP, ADP, AMP Energy charge and adenylate kinase flux ATP/ADP ratio collapses in OXPHOS uncoupling; AMPK activation signal

Panel 4: Mitochondrial Lipid Signaling (LC-MS/MS)

Lipid Class Representative Species Mitochondrial Role
Cardiolipins TMCL, MLCL (C18:2-rich) Inner membrane structural lipid; required for Complex IV and ATP synthase assembly; remodeled in apoptosis and Barth syndrome
Monolysocardiolipins MLCL (C18:2) Cardiolipin remodeling intermediate; accumulates in Barth syndrome (TAZ deficiency)
Phosphatidylglycerol PG (C18:0, C18:1) Cardiolipin biosynthetic precursor; marker of mitochondrial membrane biogenesis
Lyso-phospholipids LPC, LPE, LPA Membrane damage markers; accumulate when phospholipase A2 is activated during mitochondrial dysfunction

Targeted vs Untargeted Mitochondrial Profiling — Which Approach Fits Your Study?

Researchers have two primary approaches for mitochondrial metabolomics — but they answer different questions. The table below clarifies which approach fits your research goal.

Dimension Targeted Panels (LC-MS/MS MRM) Untargeted Discovery (LC-HRMS)
What is measured Pre-defined panel of 40 to 60 mitochondrial metabolites with confirmed identities Unbiased detection of all detectable features in mitochondrial extracts, including unknowns
Quantification Absolute (nmol/mg protein, pmol per million cells) with isotopically labeled internal standards and per-analyte calibration curves Relative (fold change, normalized intensity); absolute quantification requires follow-up targeted validation
Sensitivity Higher for targeted analytes (scheduled MRM, optimized transitions); LOD 0.01 to 1 pmol on-column Lower for individual analytes (full-scan HRMS splits dwell time across all masses); better for discovering unexpected metabolites
Annotation confidence Confirmed — retention time and MRM transitions matched to authentic standards Level 2 to 4 — mass and isotope matching, library search; requires validation
Biological question answered "Is this drug inhibiting Complex I or CPT1?" — mechanism, pathway-specific, biomarker quantification "What mitochondrial metabolites change in this disease model?" — discovery, hypothesis generation
Best for Drug toxicity screening, biomarker validation, pathway mechanistic studies, clinical translation Early-stage discovery, novel pathway identification, untargeted metabolomics hypothesis generation

Not sure which approach fits your study? Most drug toxicity projects benefit from the targeted panels first (mechanism, biomarkers) followed by untargeted discovery to identify unexpected metabolic perturbations. Contact us during study design and we will recommend the optimal configuration for your sample type and research question.

Why Choose Our Mitochondrial Metabolomics Service?

  • Mitochondrial Isolation, Not Whole-Cell Averaging
    We isolate mitochondria from your tissue or cell samples using differential centrifugation with density gradient purification before metabolite extraction. This enriches mitochondrial-specific metabolites 5 to 20 fold compared to whole-cell extracts, providing organelle-level resolution that whole-cell metabolomics cannot achieve.
  • Four Complementary Panels from One Isolation
    Your mitochondrial sample is split into four LC-MS/MS and GC-MS panels — TCA cycle, acylcarnitine/carnitine, OXPHOS and redox, and mitochondrial lipids. Comprehensive organelle-level coverage without duplicate sample submissions.
  • Drug Toxicity Biomarker Focus
    Our panels are designed around the metabolite shifts most commonly reported in drug-induced mitochondrial toxicity: citrate accumulation (TCA bottleneck), acylcarnitine depletion (CPT1 inhibition by malonyl-CoA), NAD+/NADH ratio collapse (Complex I inhibition), and cardiolipin remodeling (membrane damage). Every analyte maps to a specific mechanistic readout.
  • Per-Analyte Calibration with Isotopically Labeled Standards
    Every analyte is quantified against its own multi-point calibration curve with class-matched isotopically labeled internal standards. Your citrate data is calibrated against a citrate standard curve — not estimated from a surrogate. Acylcarnitines are quantified with deuterated C2, C3, C8, and C16 internal standards.
  • Professional Deliverables for Collaborators and Reviewers
    Quantitative tables with per-analyte concentrations and QC flags, calibration and QC reports, extracted ion chromatograms with peak assignments, raw data files, and a methods appendix formatted for direct inclusion in your manuscript.

Mitochondrial Metabolomics Instrumentation and LC-MS/MS Method Performance

Our mitochondrial metabolomics platform integrates LC-MS/MS for polar metabolites — TCA cycle intermediates, acylcarnitines, OXPHOS metabolites, and redox cofactors — with GC-MS for organic acids and fatty acid derivatives. All instruments are configured for high-sensitivity quantification from low microgram mitochondrial protein inputs.

Analytical Platform

LC-MS/MS (Polar Metabolites — TCA, Acylcarnitines, Redox)

Mass Spectrometer: SCIEX QTRAP 6500+ triple quadrupole with scheduled MRM

High-Resolution MS: Thermo Q Exactive Focus Orbitrap for untargeted discovery

LC System: Waters ACQUITY UPLC I-Class with HILIC and reversed-phase columns

Ionization: ESI positive and negative mode with polarity switching

GC-MS (Organic Acids and Fatty Acid Derivatives)

Mass Spectrometer: Agilent 7890B GC coupled to 5977A MSD

Column: DB-5MS (30 m x 0.25 mm x 0.25 micrometers) for organic acid profiling

Derivatization: MTBSTFA for organic acids; BF3/MeOH for fatty acid methyl esters

Method Performance

Parameter Typical Range
Linearity (R squared) Greater than or equal to 0.992 (LC-MS/MS); greater than or equal to 0.995 (GC-MS)
LOD (LC-MS/MS) 0.01 to 1 pmol on-column (analyte-dependent)
LOD (GC-MS) 0.1 to 5 ng on-column (analyte-dependent)
Intraday Precision CV less than or equal to 10% for the majority of analytes
Interday Precision CV less than or equal to 15% across qualified matrices
Recovery (Spike) 80 to 120% for most analytes in qualified matrices

Internal Standards and Calibration Strategy

  • TCA cycle panel: 13C6-citrate, 13C4-succinate, 13C4-fumarate, 13C4-malate, and D5-alpha-ketoglutarate as isotopically labeled internal standards spiked at extraction; 6 to 8 point calibration curves per analyte in surrogate matrix.
  • Acylcarnitine panel: D3-acetylcarnitine (C2), D3-propionylcarnitine (C3), D3-octanoylcarnitine (C8), D3-palmitoylcarnitine (C16), and D3-carnitine (C0) as deuterated internal standards spiked at extraction; per-analyte calibration in methanol-water matrix.
  • OXPHOS and redox panel: 13C5-NAD+, 13C5-NADH, 13C5-ATP, and 13C5-ADP as isotopically labeled internal standards; NAD+/NADH ratio reported per sample with method-specific extraction to minimize interconversion.
  • QC Monitoring: Pooled QC every 8 injections; mitochondrial purity marker (citrate synthase activity) reported per isolation batch; Westgard multi-rule evaluation; LOESS signal drift correction; flagged analytes (RSD greater than 30%) reported.
SCIEX QTRAP 6500+ LC-MS/MS System

SCIEX QTRAP 6500+ (Figure from Sciex)

Thermo Q Exactive Focus Orbitrap

Thermo Q Exactive Focus (Figure from Thermo)

Agilent 7890B GC-MS System

Agilent 7890B-5977A GC-MS (Figure from Agilent)

Mitochondrial Metabolomics Workflow — From Isolation to Quantification

1

Study Design and Panel Configuration

We define the panel configuration with you — targeted TCA cycle only, acylcarnitine panel only, the full four-panel approach, or untargeted discovery followed by targeted validation. Internal standard suite selection, mitochondrial isolation protocol, and sample amount requirements are aligned to your research goals and biological matrix.

2

Sample Preparation and Mitochondrial Isolation

Tissue or cell samples are homogenized in ice-cold isolation buffer with protease inhibitors. Differential centrifugation at low speed (800 g) removes nuclei and debris; high-speed centrifugation (10,000 g) pellets crude mitochondria. Density gradient purification (8 percent, 35 percent, and 19 percent Percoll or sucrose layers) removes microsomal and lysosomal contamination. Purity verified by citrate synthase activity assay and Western blot for marker proteins (VDAC1, COX IV).

3

Metabolite Extraction and Internal Standard Spiking

Isolated mitochondria are split by panel. TCA cycle and redox metabolites: cold methanol-water extraction with 13C-labeled internal standards spiked at extraction. Acylcarnitines: methanol extraction with deuterated acylcarnitine internal standards. Lipids: Bligh and Dyer extraction with internal standards. GC-MS organic acids: oximation and silylation (MTBSTFA) after solvent extraction.

4

LC-MS/MS and GC-MS Acquisition

TCA cycle and acylcarnitines analyzed on SCIEX QTRAP 6500+ with scheduled MRM in positive and negative ion modes. OXPHOS metabolites analyzed on Thermo Q Exactive Focus with full-scan and targeted SIM. Organic acids analyzed on Agilent 7890B-5977A GC-MS with DB-5MS column. Pooled QC injections every 8 samples; system suitability tests per batch.

5

Quantification, Quality Review, and Data Delivery

Per-analyte concentrations calculated via multi-point calibration curves with class-matched internal standards. Data reviewed for linearity, precision, ion ratio confirmation (LC-MS/MS), retention time locking (GC-MS), and carryover. Complete data package including quantitative tables, QC reports, chromatograms with peak assignments, raw data files, and methods appendix formatted for direct manuscript inclusion.

Mitochondrial Metabolomics Workflow

Mitochondrial Metabolomics Sample Collection and Isolation Guidelines

Proper sample handling is critical for mitochondrial metabolomics — mitochondrial metabolites are labile and mitochondrial membrane potential must be preserved during isolation. The following guidelines ensure metabolic integrity from collection through analysis.

Sample Type Minimum Amount Preparation Storage and Shipping
Tissue (liver, heart, brain, muscle) Greater than or equal to 100 mg wet weight Snap-freeze in liquid N2 immediately after collection. For mitochondrial isolation, fresh tissue is preferred — flash-frozen tissue can be used but may yield lower intact mitochondria. Record wet weight before freezing Fresh on wet ice (within 2 h); or -80 degrees C; ship on dry ice
Cultured Cells Greater than or equal to 5 x 10 to the 7th cells (50 mg pellet) Wash twice with cold PBS; harvest by trypsinization or scraping. For mitochondrial isolation, collect live cells in cold isolation buffer. Snap-freeze a parallel aliquot for whole-cell comparison Fresh on wet ice (within 1 h); or -80 degrees C; ship on dry ice
Isolated Mitochondria (customer-prepared) Greater than or equal to 200 micrograms mitochondrial protein If you prefer to isolate mitochondria yourself, follow our protocol guide (provided upon request). Include cytosolic fraction for comparison. Purity must be confirmed by citrate synthase activity and marker protein Western blot -80 degrees C; ship on dry ice
Plasma / Serum (acylcarnitine panel only) Greater than or equal to 100 microliters Collect in EDTA tube, centrifuge at 4 degrees C within 30 min, aliquot. Acylcarnitines are stable but avoid hemolysis. Fasting samples recommended for acylcarnitine profiling -80 degrees C; ship on dry ice
Whole-Cell or Tissue Extract (comparator) Greater than or equal to 30 mg tissue or 1 x 10 to the 7th cells Parallel sample for whole-cell metabolomics comparison. Snap-freeze at collection. Useful for calculating mitochondrial enrichment factor for each analyte -80 degrees C; ship on dry ice

Critical Notes:

  • Oxaloacetate and pyruvate are extremely labile — oxaloacetate spontaneously decarboxylates to pyruvate at physiological pH. Samples must be quenched and extracted at low temperature (4 degrees C or below) with acidic conditions to preserve oxaloacetate. If oxaloacetate is critical to your study, discuss specialized quenching protocols during study design.
  • NAD+ and NADH interconvert rapidly — acid-base extraction methods are required to separate NAD+ (acid-stable) from NADH (base-stable). We use a dual-extraction approach: acid extraction for NAD+ and base extraction for NADH from parallel aliquots. Do not freeze-thaw samples before NAD extraction.
  • Acylcarnitines in plasma reflect whole-body mitochondrial FAO status — for tissue-specific drug toxicity studies, mitochondrial isolation from the target organ is strongly recommended. Energy metabolism profiling from plasma alone may miss organ-specific dysfunction.
  • Mitochondrial purity matters — cytosolic contamination (lactate dehydrogenase activity greater than 5 percent of total) dilutes mitochondrial-specific signals. We report purity metrics for every isolation batch and flag samples below threshold.

Mitochondrial Metabolomics Data Deliverables and Reporting

Our mitochondrial metabolomics deliverables are designed for direct integration into drug toxicity studies, manuscript preparation, and regulatory submissions. Every data package includes per-analyte absolute quantification, QC documentation, and raw data files for independent verification.

Quantitative Data Tables (.xlsx/.csv)
Absolute concentrations (nmol/mg mitochondrial protein, pmol per million cells, or nmol/mL for biofluids), per-analyte values for all four panels, QC flags, and calculated ratios — NAD+/NADH, ATP/ADP, acylcarnitine/free carnitine, and short-chain/long-chain acylcarnitine ratio.

QA/QC Report
Calibration linearity, internal standard recovery, pooled QC RSD, batch trend plots, Westgard rule compliance summary, mitochondrial purity metrics (citrate synthase activity, marker protein Western blot densitometry).

Chromatograms with Peak Assignments
Annotated MRM chromatograms (LC-MS/MS) showing peak identification for TCA intermediates and acylcarnitines. GC-MS chromatograms for organic acids with NIST library confirmation.

Raw Data Files
Vendor-native files (.wiff for SCIEX, .raw for Thermo, .d for Agilent) and open formats (.mzML, .csv) upon request.

Methods Appendix
Mitochondrial isolation protocol, extraction conditions, LC and GC parameters, MRM transitions, internal standard list — formatted for direct inclusion in your manuscript methods section.

MRM chromatogram showing TCA cycle intermediates including citrate, alpha-ketoglutarate, succinate, fumarate, malate, and pyruvate separated by LC-MS/MS

Representative MRM chromatogram of TCA cycle intermediates in isolated mitochondrial extract by LC-MS/MS.

Acylcarnitine quantification bar chart showing concentrations of C0, C2, C3, C4, C8, C10, C16, and C18 in control versus drug-treated isolated mitochondria

Acylcarnitine quantification in isolated mitochondria: control vs. drug-treated groups (mean ± SD, n=6, *p<0.05).

Applications of Mitochondrial Metabolomics

Our mitochondrial metabolomics service supports researchers across disciplines where organelle-level metabolic data drives decisions:

  • Drug-Induced Mitochondrial Toxicity — Screen compounds for Complex I to V inhibition, CPT1 blockade, and OXPHOS uncoupling using TCA cycle, acylcarnitine, and redox metabolite shifts as mechanistic biomarkers
  • Metabolic Disease Research — Profile mitochondrial dysfunction in diabetes, NAFLD, obesity, and inborn errors of metabolism using TCA intermediate quantification and acylcarnitine panels
  • Cancer Metabolism — Quantify oncometabolites (succinate, fumarate, 2-hydroxyglutarate), assess TCA cycle rewiring, OXPHOS metabolite shifts, and mitochondrial lipid remodeling in tumor samples
  • Neurodegeneration and Aging — Measure NAD+/NADH decline, CoQ10 depletion, and cardiolipin remodeling in brain tissue mitochondria for Alzheimer, Parkinson, and aging studies
  • Clinical Biomarker Discovery — Validate plasma acylcarnitine panels as non-invasive biomarkers of mitochondrial FAO disorders and drug toxicity in cohort-scale studies

Case Study: Volatile Anesthetic-Induced Mitochondrial TCA Cycle Disruption in Neonatal Mice

Mechanisms underlying neonate-specific metabolic effects of volatile anesthetics

Stokes, J., Freed, A., Bornstein, R., Su, K. N., Snell, J., Pan, A., Sun, G. X., Park, K. Y., Jung, S., Worstman, H., Johnson, B. M., Morgan, P. G., Sedensky, M. M., and Johnson, S. C. | eLife, 2021, 10, e65400

DOI: 10.7554/eLife.65400


Background

Volatile anesthetics (isoflurane, sevoflurane, halothane) are known to interfere with mitochondrial electron transport chain function, but the specific metabolic consequences — particularly in neonates — were poorly understood. Neonatal mice exposed to isoflurane experience acute depletion of beta-hydroxybutyrate (beta-HB), the primary ketone body fueling the neonatal brain, but the mechanism was unknown.

Challenge: Identify the mitochondrial metabolic pathway by which volatile anesthetics disrupt ketone body production in neonatal mice, using targeted metabolomics of TCA cycle intermediates and acylcarnitines to pinpoint the enzymatic bottleneck.


Key Findings

MetricFinding
Blood beta-HB (P7 neonates, baseline)Approximately 2 mM
Blood beta-HB (P7, 30 min isoflurane)Dropped to approximately 1 mM; effect half-life less than 12 minutes
P30 (adolescent) mice beta-HB responseUnaffected by isoflurane at any dose tested — unlike neonates, insensitive to malonyl-CoA
Liver citrate (30 min isoflurane)Increased 100 percent compared to control
Malonyl-CoA responseSignificantly increased; inhibits CPT1 and blocks fatty acid oxidation
Plasma and liver acylcarnitinesBroadly reduced, confirming CPT1 blockade and impaired fatty acid oxidation
Sub-anesthetic dose (0.2 percent isoflurane)Caused equal or greater beta-HB depletion than 1.5 percent
ACC inhibitor ND-646 rescuePartially prevented beta-HB decline, confirming citrate to ACC to malonyl-CoA to CPT1 axis

What This Means for Your Drug Toxicity Research

  • Citrate accumulation is an early biomarker of TCA cycle disruption. The 100 percent increase in liver citrate within 30 minutes of anesthetic exposure occurred before any clinical phenotype was visible. Our TCA cycle panel detects this shift at the organelle level — in isolated mitochondria — with absolute quantification.
  • Acylcarnitine depletion confirms CPT1 inhibition without enzyme assays. The broadly reduced acylcarnitine profile directly demonstrates that fatty acid oxidation was blocked at the CPT1 step. Our acylcarnitine panel provides this readout from a single mitochondrial extraction.
  • The TCA cycle to ACC to malonyl-CoA to CPT1 axis is a single connected pathway. Drug-induced mitochondrial toxicity often cascades through multiple metabolite classes simultaneously. Our four-panel approach captures all shifts in one isolation — citrate (TCA panel), acylcarnitines (acylcarnitine panel), and NAD+/NADH (redox panel) — providing a comprehensive mechanistic profile of mitochondrial dysfunction.
  • Sub-anesthetic doses can cause maximum metabolic disruption. The 0.2 percent isoflurane dose — below the minimum on a clinical vaporizer — caused equal or greater beta-HB depletion than the full anesthetic dose. This means mitochondrial metabolomics can detect toxicity at doses that do not produce visible phenotypic effects.

Conclusion

This study demonstrates that targeted mitochondrial metabolomics — profiling TCA cycle intermediates and acylcarnitines from tissue samples — can identify the exact enzymatic bottleneck in drug-induced metabolic disruption. Our mitochondrial metabolomics service delivers the same quantitative rigor: per-analyte concentrations by LC-MS/MS with isotopically labeled internal standards, from isolated mitochondria, with mechanistic biomarker readouts for drug toxicity assessment.

What is the difference between mitochondrial metabolomics and whole-cell metabolomics?

Mitochondrial metabolomics isolates mitochondria from tissue or cells before metabolite extraction, enriching mitochondrial-specific metabolites 5 to 20 fold compared to whole-cell extracts. Whole-cell metabolomics averages signals from all compartments — cytoplasm, nucleus, endoplasmic reticulum, and mitochondria — diluting mitochondrial signals below detection limits. For example, a drug that inhibits CPT1 and depletes intramitochondrial acylcarnitines may show no change in a whole-cell extract because cytoplasmic acylcarnitines from other sources mask the mitochondrial shift. Mitochondrial metabolomics captures the organelle-specific signal directly.

How do you isolate mitochondria for metabolomics analysis?

We use differential centrifugation followed by density gradient purification. Tissue or cell samples are homogenized in ice-cold isolation buffer with protease inhibitors. Low-speed centrifugation (800 g) removes nuclei and debris. High-speed centrifugation (10,000 g) pellets crude mitochondria. The crude pellet is then purified through a Percoll or sucrose density gradient to remove microsomal and lysosomal contamination. Purity is verified by citrate synthase activity assay and Western blot for mitochondrial marker proteins (VDAC1, COX IV) versus cytoplasmic markers (LDH, GAPDH). Samples below 95 percent mitochondrial purity are flagged in the QC report.

What metabolites are included in your mitochondrial metabolomics panels?

We offer four complementary panels. Panel 1 (TCA cycle): pyruvate, citrate, isocitrate, alpha-ketoglutarate, succinate, fumarate, malate, oxaloacetate, and acetyl-CoA. Panel 2 (acylcarnitine): free carnitine (C0), acetylcarnitine (C2), propionylcarnitine (C3), butyrylcarnitine (C4), octanoylcarnitine (C8), decanoylcarnitine (C10), palmitoylcarnitine (C16), stearoylcarnitine (C18), and additional species on request (C5-OH, C3-DC, C4-DC, C5-DC, C12-DC, C14-DC, C16-OH, C18-OH). Panel 3 (OXPHOS and redox): NAD+, NADH, NADP+, NADPH, FAD, CoQ10, glutathione (GSH/GSSG), ATP, ADP, AMP. Panel 4 (mitochondrial lipids): cardiolipins, monolysocardiolipins, phosphatidylglycerol, and lyso-phospholipids.

Can you profile acylcarnitines as markers of mitochondrial fatty acid oxidation dysfunction?

Yes. Acylcarnitines are the most direct biomarkers of mitochondrial fatty acid oxidation (FAO) status. Short-chain acylcarnitines (C2 to C5) reflect TCA cycle flux and acetyl-CoA export. Medium-chain acylcarnitines (C6 to C12) indicate medium-chain acyl-CoA dehydrogenase (MCAD) activity. Long-chain acylcarnitines (C14 to C18) are substrates and products of CPT1 and CPT2 — when CPT1 is inhibited by malonyl-CoA (as in drug-induced toxicity), long-chain acylcarnitines are depleted. When CPT2 is inhibited, long-chain acylcarnitines accumulate. Our panel covers all three chain-length classes with deuterated internal standards per class.

What sample types do you accept for mitochondrial metabolomics?

We accept fresh or flash-frozen tissue (liver, heart, brain, muscle, kidney, adipose), cultured cells (adherent or suspension, minimum 50 million cells), customer-isolated mitochondria (minimum 200 micrograms mitochondrial protein with purity documentation), and plasma or serum (for the acylcarnitine panel only). Fresh tissue is preferred for mitochondrial isolation because freezing disrupts mitochondrial membranes and reduces isolation yield. Flash-frozen tissue can be used but may yield lower intact mitochondria. If you prefer to isolate mitochondria yourself, we provide a protocol guide and accept the isolated pellet.

How many biological replicates do I need for mitochondrial metabolomics?

Mitochondrial metabolomics requires more replicates than whole-cell metabolomics because mitochondrial isolation introduces additional biological variability. We recommend a minimum of 6 biological replicates per group for cell-based studies and 8 per group for tissue-based studies. For drug toxicity screening with large effect sizes (such as the citrate accumulation and acylcarnitine depletion seen in the Stokes et al. eLife study), 5 replicates may be sufficient. For subtle metabolic shifts or comparison between similar treatment groups, 10 or more replicates are recommended. Contact us during study design for sample-size guidance specific to your research question.

Can you combine mitochondrial metabolomics with Seahorse respirometry data?

Yes, and we encourage it. Seahorse extracellular flux analyzers measure oxygen consumption rate (OCR) and extracellular acidification rate (ECAR) as real-time functional readouts of mitochondrial respiration and glycolysis. Mitochondrial metabolomics provides the complementary metabolite-level data — which TCA intermediates accumulated, which acylcarnitines shifted, whether NAD+/NADH collapsed. Together, functional respirometry and metabolic profiling give you the complete picture: what the mitochondria are doing (Seahorse) and why they are doing it (metabolomics). We can align sample collection timepoints with your Seahorse protocol to ensure data comparability.

What is the difference between targeted and untargeted mitochondrial metabolomics?

Targeted mitochondrial metabolomics uses scheduled MRM on a triple quadrupole (SCIEX QTRAP 6500+) to quantify 40 to 60 pre-defined metabolites with absolute concentrations, confirmed identities, and isotopically labeled internal standards. It is ideal for mechanism studies, drug toxicity screening, and biomarker validation. Untargeted mitochondrial metabolomics uses full-scan high-resolution MS (Thermo Q Exactive Focus Orbitrap) to detect all detectable features in mitochondrial extracts, including unknowns, and reports relative fold changes. It is ideal for early-stage discovery and novel pathway identification. Most drug toxicity projects benefit from the targeted panels first, followed by untargeted discovery to identify unexpected metabolic perturbations.

Can you detect CoQ10 and cardiolipin in mitochondrial samples?

Yes. CoQ10 (ubiquinone and ubiquinol) is included in our OXPHOS and redox panel, measured by LC-MS/MS with reversed-phase chromatography. We report both oxidized (ubiquinone) and reduced (ubiquinol) forms, and the ubiquinol/ubiquinone ratio indicates electron transport chain redox status. Cardiolipins and monolysocardiolipins are included in our mitochondrial lipid panel, measured by LC-MS/MS with negative ion mode detection. We report individual cardiolipin species by fatty acyl composition (e.g., tetra-linoleoyl cardiolipin, the dominant species in heart mitochondria) and the monolysocardiolipin to cardiolipin ratio as a marker of cardiolipin remodeling dysfunction (elevated in Barth syndrome).

How do you ensure mitochondrial purity for metabolomics analysis?

We use three independent quality metrics for every mitochondrial isolation batch. First, citrate synthase activity is measured in the mitochondrial fraction and compared to the total homogenate — a mitochondrial enrichment factor of 5 or greater is required. Second, Western blot for mitochondrial marker proteins (VDAC1 for outer membrane, COX IV for inner membrane) versus cytoplasmic markers (LDH, GAPDH) confirms that cytoplasmic contamination is below 5 percent. Third, the ratio of mitochondrial-specific metabolites (citrate, succinate) to cytoplasmic metabolites (lactate) in the extract is monitored as a metabolic purity check. Samples failing any of these checks are flagged in the QC report and the user is consulted before proceeding with analysis.

Metabolomic profiling implicates mitochondrial and immune dysfunction in disease syndromes of the critically endangered black rhinoceros

Corder, M. L., Petricoin, E. F., Li, Y., et al.

Journal: Scientific Reports, 2023, 13, Article 41508

Untargeted metabolomics of black rhinoceros serum identified 636 metabolites and revealed that mitochondrial and immune dysfunction underlies disease syndromes in captive populations. Perturbations in arachidonic acid metabolism, bile acid biosynthesis, and pentose phosphate pathway were linked to mitochondrial ROS production. Seven candidate biomarkers (AUC greater than 0.7) were identified for distinguishing healthy from inflamed animals.

Multi-omics identify xanthine as a pro-survival metabolite for nematodes with mitochondrial dysfunction

Shen, Y., et al.

Journal: The EMBO Journal, 2019, 38(8), e99558

Multi-omics analysis of C. elegans mitochondrial dysfunction mutants identified xanthine as a pro-survival metabolite. Lipidomics and metabolomics revealed that xanthine supplementation rescued survival in mitochondrial complex I and III mutants, demonstrating that metabolomics can identify compensatory metabolic pathways when mitochondrial function is impaired.

The role of carnitine palmitoyl transferase 2 in the progression of salt-sensitive hypertension

Dissanayake, L. V., Smith, B. A., Zietara, A., et al.

Journal: American Journal of Physiology-Cell Physiology, 2025, 329(4)

CRISPR/Cas9-generated CPT2-deficient Dahl salt-sensitive rats exhibited altered long-chain acylcarnitine accumulation and blood pressure regulation under high-salt ketogenic diet. Demonstrates the direct link between mitochondrial fatty acid oxidation (via CPT2) and hypertension progression, with acylcarnitine profiling as the key metabolic readout.

Metabolites and Genes behind Cardiac Metabolic Remodeling in Mice with Type 1 Diabetes Mellitus

Kambis, T. N., Shahshahan, H. R., and Mishra, P. K.

Journal: International Journal of Molecular Sciences, 2022, 23(3), 1392

LC-MS metabolomics of Akita mouse hearts revealed NADH upregulation alongside TCA cycle disruption — decreased acetyl-CoA, citrate, and oxaloacetate, with increased fumarate, malate, and ATP. Demonstrates mitochondrial metabolic remodeling in diabetic cardiomyopathy with NAD+/NADH ratio shifts as a key biomarker.

Teriflunomide/leflunomide synergize with chemotherapeutics by decreasing mitochondrial fragmentation via DRP1 in SCLC

Mirzapoiazova, T., Tseng, L., Mambetsariev, B., et al.

Journal: iScience, 2024, 27(6), 110132

Targeted nucleotide metabolomics in SCLC cells showed that teriflunomide/leflunomide decreased mitochondrial fragmentation via DRP1 phosphorylation inhibition, synergizing with carboplatin and lurbinectedin. Nucleotide pool shifts (ATP, GTP, UTP depletion) reflected mitochondrial bioenergetic dysfunction, demonstrating metabolomics as a drug synergy readout in cancer.

For Research Use Only. Not for use in diagnostic procedures.
inquiry

Get Your Custom Quote

Connect with Creative Proteomics Contact Us Contact Us
return-top