Metabolomics: Multi-tissue analysis exploring disruption of the gut-brain axis caused by bacterial infection and treatment
Posters | 2022 | ShimadzuInstrumentation
This work addresses how disruption of the gut-brain axis by Clostridioides difficile infection and subsequent treatments alters host metabolic profiles across multiple tissues. Understanding these effects at the metabolite level is crucial for developing targeted interventions in gastrointestinal and neurological disorders linked to microbiome dysbiosis.
The study aimed to compare the metabolic impact of two treatment strategies—metronidazole antibiotic therapy versus faecal microbiota transplantation (FMT)—on mice infected with C. difficile. Multi-tissue metabolic profiling was performed on brain, caecum, and faecal samples to capture both central and peripheral biochemical responses.
The experimental design involved infecting antibiotic-pretreated C57BL/6 mice with non-toxigenic strains of C. difficile. Groups included uninfected controls, infected-untreated, infected plus metronidazole, and infected plus FMT. Tissue and faecal samples were extracted using biphasic solvent systems, then analysed by high-resolution LC-MS/MS with data-independent acquisition (DIA).
Metabolite identification combined in-house MS/MS libraries for MSI level 1 with online repositories for MSI level 2.
In the brain, infection and treatments caused significant increases in nucleosides (cytidine, cytosine, inosine, uridine, 5′-methylthioadenosine) and glutamic acid, while aspartic acid, arginine, and histidine decreased. Fatty acids were largely depleted by infection and only restored by metronidazole.
In caecal extracts, metronidazole treatment elevated lysophosphatidylethanolamines (LPE 16:1 and 18:1), malate, proline, and creatine. Infection reduced N-acyl taurines but FMT partially reversed this effect.
In faecal content, taurocholate, creatinine, and cysteate levels rose after infection and returned to control levels following FMT.
This multi-tissue metabolomic approach provides a comprehensive view of gut-brain axis perturbations. The findings demonstrate how antibiotic therapy and microbial restoration differentially modulate key metabolites. Such insights can guide therapeutic strategies for managing C. difficile infections and associated neurological sequelae.
Advances in DIA-based metabolomics will enable more robust untargeted analyses, increasing coverage of unknown features in complex matrices. Integration with microbiome sequencing and functional assays could refine mechanistic links between microbial shifts and host metabolism. Personalized FMT formulations and antibiotic regimens may emerge from tailored biomarker profiles.
The study highlights distinct metabolic signatures of antibiotic versus FMT treatments in a C. difficile infection model, underlining the value of LC-MS/MS metabolomics for dissecting gut-brain axis dynamics. Metronidazole restores certain lipid and energy metabolites but may perturb other pathways, whereas FMT normalizes bile acid and taurine derivatives without broad metabolic disruption.
O. Deda, E. G. Armitage, M. Kachrimanidou, N. Loftus, H. Gika. Multi-tissue analysis exploring disruption of the gut-brain axis caused by bacterial infection and treatment. Aristotle University, Shimadzu, 2023.
LC/TOF, LC/HRMS, LC/MS, LC/MS/MS
IndustriesMetabolomics, Clinical Research
ManufacturerShimadzu
Summary
Importance of the Topic
This work addresses how disruption of the gut-brain axis by Clostridioides difficile infection and subsequent treatments alters host metabolic profiles across multiple tissues. Understanding these effects at the metabolite level is crucial for developing targeted interventions in gastrointestinal and neurological disorders linked to microbiome dysbiosis.
Study Objectives and Overview
The study aimed to compare the metabolic impact of two treatment strategies—metronidazole antibiotic therapy versus faecal microbiota transplantation (FMT)—on mice infected with C. difficile. Multi-tissue metabolic profiling was performed on brain, caecum, and faecal samples to capture both central and peripheral biochemical responses.
Methodology and Instrumentation
The experimental design involved infecting antibiotic-pretreated C57BL/6 mice with non-toxigenic strains of C. difficile. Groups included uninfected controls, infected-untreated, infected plus metronidazole, and infected plus FMT. Tissue and faecal samples were extracted using biphasic solvent systems, then analysed by high-resolution LC-MS/MS with data-independent acquisition (DIA).
- Reverse-phase chromatography: Acquity C18 BEH column, 50 °C, water/acetonitrile gradient with 0.1 % formic acid.
- HILIC chromatography: Shim-pack Velox HILIC column, 40 °C, acetonitrile/water gradient with 10 mM ammonium formate and 0.1 % formic acid.
- Mass spectrometry: Shimadzu QTOF LCMS-9030 with ESI±, full scan m/z 65–1010 and DIA-MS/MS m/z 40–1000.
Metabolite identification combined in-house MS/MS libraries for MSI level 1 with online repositories for MSI level 2.
Main Results and Discussion
In the brain, infection and treatments caused significant increases in nucleosides (cytidine, cytosine, inosine, uridine, 5′-methylthioadenosine) and glutamic acid, while aspartic acid, arginine, and histidine decreased. Fatty acids were largely depleted by infection and only restored by metronidazole.
In caecal extracts, metronidazole treatment elevated lysophosphatidylethanolamines (LPE 16:1 and 18:1), malate, proline, and creatine. Infection reduced N-acyl taurines but FMT partially reversed this effect.
In faecal content, taurocholate, creatinine, and cysteate levels rose after infection and returned to control levels following FMT.
Benefits and Practical Applications
This multi-tissue metabolomic approach provides a comprehensive view of gut-brain axis perturbations. The findings demonstrate how antibiotic therapy and microbial restoration differentially modulate key metabolites. Such insights can guide therapeutic strategies for managing C. difficile infections and associated neurological sequelae.
Future Trends and Potential Applications
Advances in DIA-based metabolomics will enable more robust untargeted analyses, increasing coverage of unknown features in complex matrices. Integration with microbiome sequencing and functional assays could refine mechanistic links between microbial shifts and host metabolism. Personalized FMT formulations and antibiotic regimens may emerge from tailored biomarker profiles.
Conclusion
The study highlights distinct metabolic signatures of antibiotic versus FMT treatments in a C. difficile infection model, underlining the value of LC-MS/MS metabolomics for dissecting gut-brain axis dynamics. Metronidazole restores certain lipid and energy metabolites but may perturb other pathways, whereas FMT normalizes bile acid and taurine derivatives without broad metabolic disruption.
Reference
O. Deda, E. G. Armitage, M. Kachrimanidou, N. Loftus, H. Gika. Multi-tissue analysis exploring disruption of the gut-brain axis caused by bacterial infection and treatment. Aristotle University, Shimadzu, 2023.
Content was automatically generated from an orignal PDF document using AI and may contain inaccuracies.
Similar PDF
Exploring the effects of bacterial infection and antibiotic or faecal microbiota transplantation treatments on the mouse gut microbiome
2022|Shimadzu|Posters
Exploring the effects of bacterial infection and antibiotic or faecal microbiota transplantation treatments on the mouse gut microbiome 1 Deda ; 2 Armitage ; 2 Ashton ; 3 Kachrimanidou ; Olga Emily G Simon Melina Neil 1School of Medicine and…
Key words
faecal, faecalcreatine, creatinegut, gutfmt, fmtcaecal, caecalbacterial, bacterialmicrobiome, microbiomeantibiotic, antibioticpathogen, pathogenuninfected, uninfectedinfection, infectiontransplantation, transplantationmice, micemicrobiota, microbiotametronidazole
Analysis of the mouse brain metabolome following the disruption of the gut-brain axis
2022|Shimadzu|Posters
Analysis of the mouse brain metabolome following the disruption of the gut-brain axis 1 Deda ; 2 Loftus ; Emily 2 Armitage ; 3 Kachrimanidou ; 1 Gika Olga Neil G Melina Helen 1School of Medicine and CIRI BIOMIC_AUTh, Aristotle…
Key words
brain, braingut, gutspectrum, spectruminfection, infectionacetylcarnitine, acetylcarnitinecdi, cdiaxis, axiscytidine, cytidinelibrary, librarymicrobiome, microbiomehilic, hilicmetronidazole, metronidazoleinfected, infectedreverse, reversedisruption
Increasing reporting confidence in metabolomics; RP and HILIC LC-MS/MS analysis in multiple tissue studies
2022|Shimadzu|Posters
Increasing reporting confidence in metabolomics; RP and HILIC LC-MS/MS analysis in multiple tissue studies 1 Barnes ; 1 Armitage ; 1 Loftus Alan Emily Neil 1Shimadzu Corporation, Manchester, UK. Overview The chemical and physical diversity of the…
Key words
hilic, hilicmetabolite, metabolitetissue, tissuemetabolites, metabolitestrimethylglycine, trimethylglycinepolar, polarconfidence, confidencereverse, reversereporting, reportinghighly, highlymetabolome, metabolomefaecal, faecalmetabolomic, metabolomicalanine, alaninedistributions
Ethanol-induced metabolomic differences in mice using HRAM Q-TOF analysis
2019|Shimadzu|Posters
PO-CON1887E Ethanol-induced metabolomic differences in mice using HRAM Q-TOF analysis ASMS 2019 Stephane Moreau1, Georgios Theodoridis2, Helen G. Gika3, Ian D Wilson4, Emily Armitage5, Olga Deda3, Christina Virgiliou2, Neil Loftus5 1 Shimadzu Europe GmbH, Duisburg, Germany 2 Department of Chemistry,…
Key words
ethanol, ethanolmice, micemetabolomic, metabolomicinduced, inducedtreated, treatedhram, hrambrain, braindha, dhatof, tofexposure, exposuredifferences, differencesacute, acuteadenosine, adenosinedocosahexaenoic, docosahexaenoiccontrol