Deciphering the Microbiome: Targeted LC/MS/MS Analysis of Bile Acids in Biological Samples
Applications | 2025 | Agilent TechnologiesInstrumentation
Profiling bile acids is vital for understanding lipid digestion, enterohepatic circulation, and interactions between the liver and gut microbiome. These amphipathic molecules not only drive fat absorption but also act as signaling compounds influencing immune function, metabolic regulation, and disease processes such as carcinogenesis. A comprehensive, sensitive, and reproducible analytical method for quantifying a broad panel of primary and secondary bile acids in biological matrices is therefore essential for both research and clinical diagnostics.
This study aimed to develop and validate a standardized LC/MS/MS workflow capable of targeted quantitation of 68 distinct bile acids in plasma, serum, and fecal samples. The method leverages dynamic multiple reaction monitoring on an Agilent 6495D triple quadrupole mass spectrometer with iFunnel technology, delivering high specificity, sensitivity, and throughput. Key goals included optimal chromatographic separation of isomers, linear calibration for absolute quantitation, long-term method robustness, and demonstration of biological applicability across species and sample types.
Sample Preparation and Extraction
Agilent 1290 Infinity II Bio LC system coupled to a 6495D triple quadrupole mass spectrometer with fourth-generation iFunnel dual Agilent Jet Stream ESI source. Data acquisition and optimization performed in MassHunter Acquisition 12.1. Data processing and quantitation conducted with MassHunter Quantitative Analysis 12.0 and multivariate chemometrics in Mass Profiler Professional 15.1.
Advancements may include integration with ion mobility or high-resolution mass spectrometry for expanded metabolite coverage, automated sample preparation for increased throughput, and AI-driven data analysis for pattern recognition. Broader panels and multi-omic approaches will enhance understanding of bile acid roles in personalized medicine, microbiome-host interactions, and disease biomarker development.
The described targeted LC/MS/MS method on an Agilent 6495D platform offers a robust, reproducible solution for quantifying a diverse bile acid panel across biological matrices. Its high resolution, linear quantitation, and long-term stability make it a valuable tool for research into metabolic health, microbiome function, and disease mechanisms.
LC/QQQ, LC/MS/MS, LC/MS
IndustriesPharma & Biopharma, Clinical Research
ManufacturerAgilent Technologies
Summary
Significance of Topic
Profiling bile acids is vital for understanding lipid digestion, enterohepatic circulation, and interactions between the liver and gut microbiome. These amphipathic molecules not only drive fat absorption but also act as signaling compounds influencing immune function, metabolic regulation, and disease processes such as carcinogenesis. A comprehensive, sensitive, and reproducible analytical method for quantifying a broad panel of primary and secondary bile acids in biological matrices is therefore essential for both research and clinical diagnostics.
Objectives and Overview
This study aimed to develop and validate a standardized LC/MS/MS workflow capable of targeted quantitation of 68 distinct bile acids in plasma, serum, and fecal samples. The method leverages dynamic multiple reaction monitoring on an Agilent 6495D triple quadrupole mass spectrometer with iFunnel technology, delivering high specificity, sensitivity, and throughput. Key goals included optimal chromatographic separation of isomers, linear calibration for absolute quantitation, long-term method robustness, and demonstration of biological applicability across species and sample types.
Methods and Instrumentation
Sample Preparation and Extraction
- Plasma/serum: 50–100 µL extracted with four volumes of acetonitrile containing 1% formic acid and deuterated bile acid internal standards, followed by protein precipitation, vacuum drying, and reconstitution in 50% methanol.
- Fecal samples: 100 mg/mL homogenized in 80% methanol with internal standards using bead beating, overnight precipitation at –80 °C, centrifugation, drying, and reconstitution.
- Optional lipid removal: Agilent Captiva EMR–Lipid cartridges applied to improve cleanup and parallel lipidomics compatibility with >85% recovery.
- Column: Agilent Poroshell 120 EC-C18 (2.1 × 100 mm, 1.9 µm) at 50 °C.
- Gradient: Nonlinear 23-minute run (20–98% acetonitrile with 0.1% formic acid), including wash and re-equilibration steps.
- Injection volume: 2 µL for plasma/serum, 1 µL for feces; autosampler at 5 °C.
Used Instrumentation
Agilent 1290 Infinity II Bio LC system coupled to a 6495D triple quadrupole mass spectrometer with fourth-generation iFunnel dual Agilent Jet Stream ESI source. Data acquisition and optimization performed in MassHunter Acquisition 12.1. Data processing and quantitation conducted with MassHunter Quantitative Analysis 12.0 and multivariate chemometrics in Mass Profiler Professional 15.1.
Main Results and Discussion
- Chromatographic resolution: Baseline separation of nearly all isomeric and isobaric bile acids achieved under the optimized gradient, enabling confident identification by retention time and MRM.
- Calibration performance: Fifteen deuterated bile acids produced linear external calibration curves over 0.1–2,500 ng/mL with R² > 0.99 and minimal weighting.
- Reproducibility: Over 250 consecutive injections spanning four days, internal standards exhibited average peak area CV < 5% and retention time CV ≈ 0.15%, confirming robustness for high-throughput studies.
- Biological application: Quantitative profiling in mouse and rat plasma revealed species- and gender-specific bile acid patterns by PCA and hierarchical clustering. Fecal extracts from human donors demonstrated comprehensive detection of primary and microbiota-derived secondary bile acids.
Benefits and Practical Applications
- High sensitivity and specificity for low-abundance bile acids in complex matrices.
- Versatile protocol compatible with plasma, serum, and fecal materials.
- Standardized platform ensures method transferability, suitability for omics workflows, and integration with lipidomics.
- Applicable to preclinical studies, clinical biomarker discovery, and quality control in pharmaceutical and nutritional research.
Future Trends and Potential Applications
Advancements may include integration with ion mobility or high-resolution mass spectrometry for expanded metabolite coverage, automated sample preparation for increased throughput, and AI-driven data analysis for pattern recognition. Broader panels and multi-omic approaches will enhance understanding of bile acid roles in personalized medicine, microbiome-host interactions, and disease biomarker development.
Conclusion
The described targeted LC/MS/MS method on an Agilent 6495D platform offers a robust, reproducible solution for quantifying a diverse bile acid panel across biological matrices. Its high resolution, linear quantitation, and long-term stability make it a valuable tool for research into metabolic health, microbiome function, and disease mechanisms.
Reference
- 1. Sartain M.; et al. A Refined LC/MS/MS Method Targeting Bile Acids from the Gut Microbiome. Agilent Technologies Application Note 5994-4956EN, 2023.
- 2. Van de Bittner G.C.; et al. An Automated Dual Metabolite + Lipid Sample Preparation Workflow for Mammalian Cell Samples. Agilent Technologies Technical Overview 5994-5065EN, 2022.
- 3. Sartain M.; et al. Enabling Automated, Low-Volume Plasma Metabolite Extraction with the Agilent Bravo Platform. Agilent Technologies Application Note 5994-2156EN, 2020.
- 4. Highly Curated Workflows for Targeted Omics Using a Standardized LC/TQ Platform. Agilent Technologies Flyer 5994-7447EN, 2024.
Content was automatically generated from an orignal PDF document using AI and may contain inaccuracies.
Similar PDF
A Refined LC/MS/MS Method Targeting Bile Acids from the Gut Microbiome
2023|Agilent Technologies|Applications
Application Note Metabolomics A Refined LC/MS/MS Method Targeting Bile Acids from the Gut Microbiome Authors Introduction Mark Sartain Agilent Technologies, Inc. Santa Clara, California, USA Secondary bile acids are the most abundant and variable microbiota-derived metabolites shown to affect host…
Key words
bile, bilepos, posacid, acidmuricholic, muricholicmrm, mrmconjugated, conjugatedmca, mcasecondary, secondaryprimary, primarycarboxymethyl, carboxymethylamide, amidebeta, betaalpha, alphatauro, tauroghdca
Refined LC/Q-TOF Methodology for Identification and Profiling of Bile Acids Produced from the Gut Microbiome
2022|Agilent Technologies|Posters
Refined LC/Q-TOF Methodology for Identification and Profiling of Bile Acids Produced from the Gut Microbiome ThP 328 Ruben J.F. 1Donald Introduction 1 Ramos , 2 Mark Sartain , 2 Daniel Cuthbertson , and Justin B. and Catherine C. Marron Cancer…
Key words
fecal, fecalplasma, plasmagcdca, gcdcacdca, cdcatcdca, tcdcagca, gcabile, biletca, tcaglca, glcamca, mcatlca, tlcagudca, gudcagdca, gdcatudca, tudcatdca
Fast Profiling of 39 Bile Acids in Plasma, Urine and Feces, by Automated Extraction and LCMS-8060NX
2021|Shimadzu|Applications
Liquid Chromatography Mass Spectrometry Application News Fast Profiling of 39 Bile Acids in Plasma, Urine and Feces, by Automated Extraction and LCMS-8060NX. Aurore Jaffuel 1, Akihiro Kunisawa 1, Jun Watanabe 1,1 Shimadzu Corporation. User Benefits Ready to use method…
Key words
acid, acidallocdca, allocdcaapoca, apocaghca, ghcanorca, norcanorudca, norudcaomca, omcatomca, tomcadhlca, dhlcaallolca, allolcabmca, bmcadhca, dhcatbmca, tbmcatamca, tamcaamca
A Refined LC-MS/MS Method Targeting Bile Acids from the Gut Microbiome
2018|Agilent Technologies|Posters
Poster Reprint ASMS 2018 WP-557 A Refined LC-MS/MS Method Targeting Bile Acids from the Gut Microbiome Mark J. Sartain1, Ariel R. Brumbaugh2, and Michael A. Fischbach2 1Agilent Technologies, Santa Clara, CA 2Department of Bioengineering, Stanford University, CA Introduction Secondary bile…
Key words
mca, mcabile, bilelca, lcaghdca, ghdcagca, gcahdca, hdcaudca, udcagudca, gudcagcdca, gcdcagdca, gdcacdca, cdcatudca, tudcadca, dcagnotobiotic, gnotobioticmuro