Metabolomics Creative Proteomics

Branched-Chain Keto Acids(BCKA Panel)Analysis Service

Delivering accurate LC–MS/MS BCKA profiling to reveal metabolic bottlenecks, optimize formulations, and monitor bioprocess performance.

  • Comprehensive BCKA Panel – Core BCKAs (KIC, KIV, KMV) with optional hydroxy-acids, BCAAs, and acylcarnitines.
  • High Sensitivity & Accuracy – LC–MS/MS quantitation down to 2 ng/mL with isotope dilution calibration.
  • Matrix Flexibility – Plasma, serum, tissues, cells, fermentation broth, and formulated products.
  • Actionable Insights – Identify pathway shifts, improve nutritional R&D, enhance bioprocess monitoring, and track ingredient stability.
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What Are BCKAs and Why Measure Them?

Branched-chain keto acids (BCKAs) are the first oxidative deamination products of branched-chain amino acids (BCAAs: valine, leucine, isoleucine). Transamination by BCAT yields three principal BCKAs:

  • α-ketoisocaproate (KIC) from leucine
  • α-keto-β-methylvalerate (KMV) from isoleucine
  • α-ketoisovalerate (KIV) from valine

Because BCKAs sit immediately upstream of the branched-chain α-keto acid dehydrogenase (BCKDH) complex, their absolute and relative concentrations are sensitive indicators of BCAA transamination, BCKDH activity, mitochondrial redox status, and peroxisomal/mitochondrial interplay. Accurate BCKA profiling helps you:

  • Map BCAA catabolic flux and pathway bottlenecks.
  • Evaluate nutritional interventions and metabolic engineering strategies.
  • Monitor cell culture performance in bioprocessing where BCAA utilization affects growth and by-products.
  • Build and validate mechanistic models of energy metabolism using quantitative, matrix-matched data.

What Problems We Solve for Our Clients

Mechanistic Pathway Research

Possible issue: Unclear BCKDH activity or suspected BCKA accumulation.

Our support: Targeted LC–MS/MS with isotope dilution, optional hydroxy-acids/acylcarnitines, and pathway ratios to reveal flux bottlenecks.

Nutrition & Formulation R&D

Possible issue: Ingredient or dosage effects on BCKA balance are uncertain.

Our support: Comparative BCKA profiling with optional BCAA/acylcarnitine context to clarify oxidation shifts.

Cell Culture & Bioprocess Monitoring

Possible issue: BCKA spikes under changing feed, pH, DO, or C/N conditions.

Our support: Time-series BCKA tracking with trend detection to highlight critical process inflection points.

Microbial Fermentation & Metabolic Engineering

Possible issue: Strain modifications show ambiguous flux redirection.

Our support: Broth analysis of BCKAs, hydroxy-acids, and acylcarnitines, providing ratios that differentiate productive from competing pathways.

Animal & Other Research Models

Possible issue: Unclear distribution of BCKA–BCAA balance across matrices.

Our support: Multi-matrix, isotope-corrected methods ensuring coherent interpretation of tissue and fluid profiles.

Food/Ingredient Research & Stability

Possible issue: Variability between batches or under storage conditions.

Our support: BCKA fingerprinting and similarity scoring to track consistency and detect drift.

What We Offer — BCKA Panel Services

  • Targeted BCKA Quantitation (Core Panel): KIC, KMV, KIV.
  • Extended Keto-/Hydroxy-acid Panel (Optional): α-hydroxyisocaproate (HICA), β-hydroxy-β-methylbutyrate (HMB), α-hydroxyisovalerate (HIVA), α-hydroxy-β-methylvalerate (HMV).
  • Context Metabolites (Optional): BCAAs (Leu/Ile/Val), C5 acylcarnitines (isovaleryl-, 2-methylbutyryl-, isobutyryl-carnitine), selected TCA intermediates.
  • Stable-Isotope Dilution13C/2H-labeled analogs for each BCKA when available; class-specific surrogates otherwise.

BCKA Panel and Related Analytes (Measured/Optional)

Group Analyte (Abbrev) Synonyms Reporting Range (ng/mL) Internal Standard Stability Notes
Core BCKAs α-Ketoisocaproate (KIC) 4-methyl-2-oxopentanoate 2 – 5,000 13C-KIC Sensitive to oxidation; freeze promptly
  α-Ketoisovalerate (KIV) 3-methyl-2-oxobutyrate 2 – 5,000 13C-KIV Stable at −80 °C; avoid >2 freeze-thaws
  α-Keto-β-methylvalerate (KMV) 3-methyl-2-oxopentanoate 2 – 5,000 13C-KMV Light-sensitive; ship on dry ice
Derived Hydroxy-/Keto-Acids α-Hydroxyisocaproate (HICA) 2-hydroxy-4-methylpentanoate 5 – 10,000 13C-HICA Stable under frozen storage
  β-Hydroxy-β-methylbutyrate (HMB) 3-hydroxy-3-methylbutyrate 5 – 10,000 13C-HMB Stable; widely studied in sports nutrition
  α-Hydroxyisovalerate (HIVA) 2-hydroxy-3-methylbutyrate 5 – 10,000 Surrogate Stable at −80 °C
  α-Hydroxy-β-methylvalerate (HMV) 2-hydroxy-3-methylpentanoate 5 – 10,000 Surrogate Less common; include if KMV studied
  2-Oxoisocaproylglycine KIC conjugate 10 – 50,000 Surrogate Conjugated form; useful in excretion studies
  2-Oxoisovaleroylglycine KIV conjugate 10 – 50,000 Surrogate Same as above
Context Amino Acids Leucine (Leu) 10 – 100,000 13C-Leu Stable frozen
  Isoleucine (Ile) 10 – 100,000 13C-Ile Stable frozen
  Valine (Val) 10 – 100,000 13C-Val Stable frozen
Context Acylcarnitines Isovalerylcarnitine (C5-IV) 1 – 2,000 2H-C5 Stable if stored −80 °C
  2-Methylbutyrylcarnitine (C5-MB) 1 – 2,000 2H-C5 Stable frozen
  Isobutyrylcarnitine (C4-IB) 1 – 2,000 2H-C4 Stable frozen
  Propionylcarnitine (C3) 1 – 2,000 2H-C3 Stable frozen
  Butyrylcarnitine (C4) 1 – 2,000 2H-C4 Stable frozen
Related Organic Acids Succinyl-CoA (proxy via succinate) Variable Surrogate Proxy for downstream entry to TCA
  Methylmalonic acid (MMA) 5 – 10,000 2H-MMA Sensitive; monitor B12-related flux

Why Choose Our BCKA Analysis Service: Key Advantages

  • Sensitivity: Method LLOQs as low as 2 ng/mL for KIC/KIV/KMV in protein-precipitated plasma using LC–MS/MS with derivatization; ≤5 ng/mL in non-derivatized workflows.
  • Linearity: Weighted 1/x or 1/x² calibration with R² ≥ 0.995 over 3–4 orders of magnitude, matrix-matched.
  • Precision & Accuracy: Intra-assay CV ≤10%, inter-assay CV ≤15%; mean bias within ±10% across QC levels.
  • Recovery & Matrix Effects: Absolute recovery typically 80–110%; ion suppression/ enhancement corrected via stable-isotope dilution and post-extraction spiking.
  • Carryover Control: Analyte carryover maintained <0.1% of low-cal calibrators with programmed needle wash and diversion valves.
  • Stability Provenance: Freeze–thaw stability within ±15% across ≥3 cycles; short-term bench stability established for each matrix/derivative chemistry.
  • Traceable Quantitation: Calibration traceability to NMI-linked reference materials or in-house characterized stocks with documented purity assessment.

Key Instrument Platforms for Accurate BCKA Panel Quantification

Creative Proteomics applies targeted LC–MS/MS as the primary platform, with GC–MS/MS as an orthogonal option for confirmation or special matrices.

  • LC–MS/MS (Main Approach):
    Using UHPLC systems coupled with high-sensitivity triple quadrupoles, α-keto acids are stabilized through derivatization (e.g., 3-NPH), quantified with isotope-labeled internal standards, and measured in scheduled MRM mode to ensure selectivity and reproducibility.
  • GC–MS/MS (Complementary):
    Used for confirmation of certain organic acids or for legacy comparability, applying derivatization to enhance volatility and sensitivity.

Key advantages for clients:

  • High sensitivity (LLOQ down to ~2 ng/mL for BCKAs).
  • Robust quantitation with isotope dilution calibration.
  • Flexibility to adapt workflows across plasma, serum, tissue, cells, fermentation broth, and formulated products.
Waters ACQUITY UPLC System

Waters ACQUITY UPLC System (Figure from Waters)

SCIEX Triple Quad 6500+

SCIEX Triple Quad™ 6500+ (Figure from Sciex)

Agilent 1260 Infinity II HPLC

Agilent 1260 Infinity II HPLC (Figure from Agilent)

Agilent 6495C Triple quadrupole

Agilent 6495C Triple quadrupole (Figure from Agilent)

How Our BCKA Panel Assay Works — Step-by-Step Process

BCKA Panel Analysis Workflow

Sample Requirements for BCKA Panel

Matrix Preferred Container Minimum Amount Pretreatment Notes Storage & Shipping
Plasma/Serum Polypropylene cryovial 80–150 µL per replicate EDTA or heparin; avoid citrate for carboxylate analysis Freeze ≤ −70 °C; ship on dry ice
CSF Polypropylene cryovial 80–150 µL Handle low protein carefully; avoid repeated thaw Freeze ≤ −70 °C; ship on dry ice
Tissue Cryovial / tube with beads ≥ 20 mg (wet) Snap-frozen; we homogenize under cold organic solvent Keep frozen; ship on dry ice
Cultured Cells Pellet in cryovial ≥ 1×10^6 cells Wash with cold PBS; quench and pellet rapidly Keep frozen; ship on dry ice
Culture Media / Fermentation Broth Plastic vial ≥ 300 µL Record formulation; filter particulates if possible Chill or freeze; ship cold/frozen
Formulated Products / Nutritional Materials Plastic vial ≥ 200 mg or ≥ 300 µL Provide ingredient list for interferences check Protect from light; ship cold/frozen

Deliverables: What You Receive from Our BCKA Analysis

  • Certificate of Analysis (RUO): Analyte list, method synopsis, calibration model, reportable ranges.
  • Concentration Tables: Absolute values and optional ratios (e.g., KIC/KIV, ΣBCKA/ΣBCAA) in your requested units.
  • QC & Method Performance Summary: Linearity, precision, accuracy, recovery, and matrix-effect data for the batch.
  • Chromatograms & Spectra: Representative MRM traces; retention-time windows and qualifiers.
  • Raw Data Package: Vendor files and processed exports (mzML, CSV/XLSX) to enable re-analysis.
  • Study Notes: Any observed interferences, out-of-trend samples, or recommendations for follow-up.
Box plot of reduced (GSH) and oxidized glutathione (GSSG) concentrations in different sample groups.

LOD curves of KIC, KIV, KMV with threshold line and detection points.

Standard calibration curve of GSH with regression line and R² for LC–MS/MS quantification.

Chromatogram with three peaks (KIC, KIV, KMV) and mass spectrum with ions at m/z 86, 102, 144.

Standard calibration curve of GSH with regression line and R² for LC–MS/MS quantification.

Bar and line charts of KIC, KIV, KMV concentrations and ratios (KIC/KIV, ΣBCKA/ΣBCAA) across groups.

Standard calibration curve of GSH with regression line and R² for LC–MS/MS quantification.

QC summary showing accuracy, precision (CV%), and recovery for BCKA assays.

Standard calibration curve of GSH with regression line and R² for LC–MS/MS quantification.

Heatmap of KIC, KIV, KMV levels in plasma, serum, tissue, cells, and fermentation samples.

Standard calibration curve of GSH with regression line and R² for LC–MS/MS quantification.

Grouped bar chart comparing KIC, KIV, KMV concentrations in control and treatments.

What is the difference between BCAAs and BCKAs in measurement strategy?

BCAAs are amino acids quantified without derivatization or with amine-targeting reagents; BCKAs are carbonyl acids that benefit from carbonyl/carboxylate-specific derivatization (e.g., 3-NPH or oxime formation) to improve sensitivity and selectivity in MRM.

Do I need isotope-labeled standards for every analyte?

Isotopologues are preferred for each target. When unavailable, class-specific surrogates can be used with matrix-matched calibration and bias monitoring through spike-recovery experiments.

Can BCKA profiling be integrated with other omics approaches?

Absolutely. Our BCKA panel can be combined with amino acid, acylcarnitine, and TCA intermediate profiling to deliver multi-dimensional insights that strengthen metabolomics or systems biology projects.

How is data reproducibility guaranteed?

Every batch is processed with blanks, spikes, and multi-level QC samples. Results are validated with regression audits, stable-isotope dilution, and cross-matrix comparisons to ensure high confidence in the data.

What is the minimum volume required for low-abundance matrices like CSF?

As little as 80–100 µL per replicate is sufficient with isotope dilution and optimized extraction workflows.

How are solid samples like tissues processed?

We homogenize tissues under cold organic solvents to prevent oxidative degradation and to maximize recovery of BCKAs and related metabolites.

Is this service suitable for exploratory research or only for targeted studies?

The BCKA panel is primarily targeted but can be flexibly expanded with optional metabolites, making it suitable for both exploratory and hypothesis-driven projects.

The Brain Metabolome Is Modified by Obesity in a Sex-Dependent Manner

Norman, J. E., Milenkovic, D., Nuthikattu, S., & Villablanca, A. C.

International Journal of Molecular Sciences

Year: 2024

Comparative Metabolite Profiling of Salt Sensitive Oryza sativa and the Halophytic Wild Rice Oryza coarctata under Salt Stress

Tamanna, N., Mojumder, A., Azim, T., Iqbal, M. I., Alam, M. N. U., Rahman, A., & Seraj, Z. I.

Plant‐Environment Interactions

Year: 2024

Physiological, Transcriptomic and Metabolomic Insights of Three Extremophyte Woody Species Living in the Multi-Stress Environment of the Atacama Desert

Gajardo, H. A., Morales, M., Larama, G., Luengo-Escobar, A., López, D., Machado, M., … Bravo, L. A.

Planta

Year: 2024

Sex Modifies the Impact of Type 2 Diabetes Mellitus on the Murine Whole Brain Metabolome

Norman, J. E., Nuthikattu, S., Milenkovic, D., & Villablanca, A. C.

Metabolites

Year: 2023

Untargeted Metabolomics Reveal Sex-Specific and Non-Specific Redox-Modulating Metabolites in Kidneys Following Binge Drinking

Rafferty, D., de Carvalho, L. M., Sutter, M., Heneghan, K., Nelson, V., Leitner, M., … Puthanveetil, P.

Redox Experimental Medicine

Year: 2023

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

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

International Journal of Molecular Sciences

Year: 2022

Ketone Bodies Are Mildly Elevated in Subjects with Type 2 Diabetes Mellitus and Are Inversely Associated with Insulin Resistance as Measured by the Lipoprotein Insulin Resistance Index

Garcia, E., Shalaurova, I., Matyus, S. P., Oskardmay, D. N., Otvos, J. D., Dullaart, R. P., & Connelly, M. A.

Journal of Clinical Medicine

Year: 2020

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