Summary of Study ST004369
This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR002768. The data can be accessed directly via it's Project DOI: 10.21228/M8VR9N This work is supported by NIH grant, U2C- DK119886. See: https://www.metabolomicsworkbench.org/about/howtocite.php
| Study ID | ST004369 |
| Study Title | Medium chain triglycerides induce metabolic shifts in dogs with idiopathic epilepsy: a multi-omics approach - plasma metabolome |
| Study Type | Double-blinded placebo controlled dietary trial in dogs - Plasma metabolome |
| Study Summary | Plasma metabolome dataset - Background: Medium chain triglycerides (MCT) are a class of dietary lipids with proposed beneficial health effects in animals and humans alike. Their mechanism of action in specific applications, like epilepsy, remains however unclear. Therefore, the aim of this study was to identify alterations in the fecal and plasma metabolome and fecal microbiome in dogs with idiopathic epilepsy (IE) following an MCT diet. A double-blinded placebo controlled dietary trial including 32 dogs with drug-resistant IE was established. Dogs were randomly allocated to an MCT (n = 16) or placebo diet (n = 16) for 3 months. Feces and plasma were collected at the start and end of the dietary trial. The metabolome of plasma and feces were analysed using liquid chromatography coupled to high resolution mass spectrometry, and the fecal bacterial phylogeny was examined using 16S rRNA sequencing. Fecal metabolome, plasma metabolome and fecal microbiome data were integrated using the DIABLO framework. Results: The MCT diet elicited distinct metabolic adaptations and modulated gut microbial composition, notably characterized by alterations in histidine and energy metabolism, a reduction in Escherichia-Shigella, and an enrichment of genera including Ruminococcus and Faecalitalea. Multiple correlations were observed between significantly altered microbial taxa and fecal metabolites like e.g. 1-methylhistidine and creatine. Conclusion: Our findings demonstrate that a diet rich in MCT does not only support peripheral energy metabolism, evidenced by stable carnitine metabolites and reduced plasma threonine, but also reshapes microbial composition. Therefore, potential involvement of the microbiota–gut–brain axis in the mechanism of action for MCT in dogs with IE was underscored. |
| Institute | Ghent University |
| Department | DI11 - DI04 |
| Laboratory | ECAN - LIMET |
| Last Name | Verdoodt |
| First Name | Fien |
| Address | Salisburylaan 133 |
| fien.verdoodt@ugent.be | |
| Phone | +32476076770 |
| Submit Date | 2025-11-11 |
| Num Groups | 2 |
| Total Subjects | 32 |
| Num Males | 20 |
| Num Females | 12 |
| Study Comments | MCT vs placebo |
| Raw Data Available | Yes |
| Raw Data File Type(s) | mzXML |
| Analysis Type Detail | LC-MS |
| Release Date | 2025-12-15 |
| Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Project:
| Project ID: | PR002768 |
| Project DOI: | doi: 10.21228/M8VR9N |
| Project Title: | Medium chain triglycerides induce metabolic shifts in dogs with idiopathic epilepsy: a multi-omics approach |
| Project Type: | Double blinded placebo-controlled dietary trial in dogs with idiopathic epilepsy |
| Project Summary: | Background: Medium chain triglycerides (MCT) are a class of dietary lipids with proposed beneficial health effects in animals and humans alike. Their mechanism of action in specific applications, like epilepsy, remains however unclear. Therefore, the aim of this study was to identify alterations in the fecal and plasma metabolome and fecal microbiome in dogs with idiopathic epilepsy (IE) following an MCT diet. A double-blinded placebo controlled dietary trial including 32 dogs with drug-resistant IE was established. Dogs were randomly allocated to an MCT (n = 16) or placebo diet (n = 16) for 3 months. Feces and plasma were collected at the start and end of the dietary trial. The metabolome of plasma and feces were analysed using liquid chromatography coupled to high resolution mass spectrometry, and the fecal bacterial phylogeny was examined using 16S rRNA sequencing. Fecal metabolome, plasma metabolome and fecal microbiome data were integrated using the DIABLO framework. Results: The MCT diet elicited distinct metabolic adaptations and modulated gut microbial composition, notably characterized by alterations in histidine and energy metabolism, a reduction in Escherichia-Shigella, and an enrichment of genera including Ruminococcus and Faecalitalea. Multiple correlations were observed between significantly altered microbial taxa and fecal metabolites like e.g. 1-methylhistidine and creatine. Conclusion: Our findings demonstrate that a diet rich in MCT does not only support peripheral energy metabolism, evidenced by stable carnitine metabolites and reduced plasma threonine, but also reshapes microbial composition. Therefore, potential involvement of the microbiota–gut–brain axis in the mechanism of action for MCT in dogs with IE was underscored. |
| Institute: | Ghent University |
| Department: | DI11 - DI04 |
| Laboratory: | ECAN - LIMET |
| Last Name: | Verdoodt |
| First Name: | Fien |
| Address: | Salisburylaan 133, Merelbeke, Flanders, 9820, Belgium |
| Email: | fien.verdoodt@ugent.be |
| Phone: | +32476076770 |
| Funding Source: | FWO |
| Publications: | Preprint available at https://doi.org/10.21203/rs.3.rs-8078706/v1 |
Subject:
| Subject ID: | SU004528 |
| Subject Type: | Mammal |
| Subject Species: | Canis lupus familiaris |
| Taxonomy ID: | 9615 |
| Age Or Age Range: | 1-10 years old |
| Weight Or Weight Range: | 5.1-52.4 kg |
| Gender: | Male and female |
| Animal Animal Supplier: | pets |
| Animal Housing: | at home (pets) |
| Animal Feed: | MCT-diet or isocaloric placebo diet |
| Animal Inclusion Criteria: | idiopathic epilepsy Tier I (IVETF) |
Factors:
Subject type: Mammal; Subject species: Canis lupus familiaris (Factor headings shown in green)
| mb_sample_id | local_sample_id | Sample source | Diet | Timepoint |
|---|---|---|---|---|
| SA519702 | Dog27T0 | plasma | MCT | 0 |
| SA519703 | Dog18T0 | plasma | MCT | 0 |
| SA519704 | Dog19T0 | plasma | MCT | 0 |
| SA519705 | Dog20T0 | plasma | MCT | 0 |
| SA519706 | Dog12T0 | plasma | MCT | 0 |
| SA519707 | Dog11T0 | plasma | MCT | 0 |
| SA519708 | Dog25T0 | plasma | MCT | 0 |
| SA519709 | Dog10T0 | plasma | MCT | 0 |
| SA519710 | Dog8T0 | plasma | MCT | 0 |
| SA519711 | Dog7T0 | plasma | MCT | 0 |
| SA519712 | Dog29T0 | plasma | MCT | 0 |
| SA519713 | Dog35T0 | plasma | MCT | 0 |
| SA519714 | Dog37T0 | plasma | MCT | 0 |
| SA519715 | Dog38T0 | plasma | MCT | 0 |
| SA519716 | Dog1T0 | plasma | MCT | 0 |
| SA519717 | Dog16T0 | plasma | MCT | 0 |
| SA519718 | Dog29T3 | plasma | MCT | 3 |
| SA519719 | Dog18T3 | plasma | MCT | 3 |
| SA519720 | Dog27T3 | plasma | MCT | 3 |
| SA519721 | Dog25T3 | plasma | MCT | 3 |
| SA519722 | Dog35T3 | plasma | MCT | 3 |
| SA519723 | Dog37T3 | plasma | MCT | 3 |
| SA519724 | Dog20T3 | plasma | MCT | 3 |
| SA519725 | Dog19T3 | plasma | MCT | 3 |
| SA519726 | Dog38T3 | plasma | MCT | 3 |
| SA519727 | Dog1T3 | plasma | MCT | 3 |
| SA519728 | Dog16T3 | plasma | MCT | 3 |
| SA519729 | Dog12T3 | plasma | MCT | 3 |
| SA519730 | Dog11T3 | plasma | MCT | 3 |
| SA519731 | Dog7T3 | plasma | MCT | 3 |
| SA519732 | Dog10T3 | plasma | MCT | 3 |
| SA519733 | Dog8T3 | plasma | MCT | 3 |
| SA519734 | Dog17T0 | plasma | Pl | 0 |
| SA519735 | Dog39T0 | plasma | Pl | 0 |
| SA519736 | Dog34T0 | plasma | Pl | 0 |
| SA519737 | Dog5T0 | plasma | Pl | 0 |
| SA519738 | Dog33T0 | plasma | Pl | 0 |
| SA519739 | Dog30T0 | plasma | Pl | 0 |
| SA519740 | Dog4T0 | plasma | Pl | 0 |
| SA519741 | Dog28T0 | plasma | Pl | 0 |
| SA519742 | Dog26T0 | plasma | Pl | 0 |
| SA519743 | Dog6T0 | plasma | Pl | 0 |
| SA519744 | Dog9T0 | plasma | Pl | 0 |
| SA519745 | Dog24T0 | plasma | Pl | 0 |
| SA519746 | Dog42T0 | plasma | Pl | 0 |
| SA519747 | Dog21T0 | plasma | Pl | 0 |
| SA519748 | Dog3T0 | plasma | Pl | 0 |
| SA519749 | Dog13T0 | plasma | Pl | 0 |
| SA519750 | Dog42T3 | plasma | Pl | 3 |
| SA519751 | Dog39T3 | plasma | Pl | 3 |
| SA519752 | Dog3T3 | plasma | Pl | 3 |
| SA519753 | Dog17T3 | plasma | Pl | 3 |
| SA519754 | Dog5T3 | plasma | Pl | 3 |
| SA519755 | Dog4T3 | plasma | Pl | 3 |
| SA519756 | Dog34T3 | plasma | Pl | 3 |
| SA519757 | Dog21T3 | plasma | Pl | 3 |
| SA519758 | Dog30T3 | plasma | Pl | 3 |
| SA519759 | Dog6T3 | plasma | Pl | 3 |
| SA519760 | Dog28T3 | plasma | Pl | 3 |
| SA519761 | Dog9T3 | plasma | Pl | 3 |
| SA519762 | Dog26T3 | plasma | Pl | 3 |
| SA519763 | Dog24T3 | plasma | Pl | 3 |
| SA519764 | Dog33T3 | plasma | Pl | 3 |
| SA519765 | Dog13T3 | plasma | Pl | 3 |
| SA519766 | QC101 | pool | - | - |
| SA519767 | QC93 | pool | - | - |
| SA519768 | QC91 | pool | - | - |
| SA519769 | QC73 | pool | - | - |
| SA519770 | QC83 | pool | - | - |
| SA519771 | QC81 | pool | - | - |
| SA519772 | QC111 | pool | - | - |
| SA519773 | QC71 | pool | - | - |
| SA519774 | QC103 | pool | - | - |
| SA519775 | QC52 | pool | - | - |
| SA519776 | QC12 | pool | - | - |
| SA519777 | QC22 | pool | - | - |
| SA519778 | QC32 | pool | - | - |
| SA519779 | QC42 | pool | - | - |
| SA519780 | QC62 | pool | - | - |
| SA519781 | QC72 | pool | - | - |
| SA519782 | QC82 | pool | - | - |
| SA519783 | QC92 | pool | - | - |
| SA519784 | QC102 | pool | - | - |
| SA519785 | QC112 | pool | - | - |
| SA519786 | QC61 | pool | - | - |
| SA519787 | QC63 | pool | - | - |
| SA519788 | QC23 | pool | - | - |
| SA519789 | QC53 | pool | - | - |
| SA519790 | QC04 | pool | - | - |
| SA519791 | QC51 | pool | - | - |
| SA519792 | QC01 | pool | - | - |
| SA519793 | QC02 | pool | - | - |
| SA519794 | QC03 | pool | - | - |
| SA519795 | QC11 | pool | - | - |
| SA519796 | QC13 | pool | - | - |
| SA519797 | QC21 | pool | - | - |
| SA519798 | QC31 | pool | - | - |
| SA519799 | QC33 | pool | - | - |
| SA519800 | QC41 | pool | - | - |
| SA519801 | QC43 | pool | - | - |
Collection:
| Collection ID: | CO004521 |
| Collection Summary: | Pre-prandial plasma samples were collected at T0 and T3, after an 8-hour fast, centrifuged, aliquoted and flash frozen using liquid nitrogen, prior to storage at -80°C until metabolome analysis. T0 = Before the start of the placebo-controlled dietary trial. All dogs did receive an identical, adult maintenance diet for at least 21 days before the collection of T0 samples. T3 = At the end of the placebo-controlled dietary trial, i.e. following 3 months on either placebo or medium chain triglycerides (MCT) diet. (NOTE: Fe=female entire, Fs=female spayed, Ma=male intact, Ms=male neutered; BCS=body condition score 1-9) |
| Sample Type: | Blood (plasma) |
| Collection Method: | Blood collection by veterinarian |
| Collection Location: | Small Animal Department - Ghent University - Merelbeke |
| Collection Frequency: | twice per dog (T0 and T3) |
| Storage Conditions: | -80℃ |
| Collection Vials: | Heparine |
| Storage Vials: | Cryotubes |
Treatment:
| Treatment ID: | TR004537 |
| Treatment Summary: | Medium chain triglyceride diet OR isocaloric placebo diet (containing long chain triglycerides) |
Sample Preparation:
| Sampleprep ID: | SP004534 |
| Sampleprep Summary: | To extract the polar plasma metabolome, 150 µl of plasma was mixed with 600 µl of methanol/acetonitril/aceton (1:1:1) solvens, after the addition of 10 µL ISTD mixture (20 ng/µl of tyrosine-d2, phenylalanine-d2, deoxycholic acid-d4, l-alanine-d3 and dopamine-d4). Subsequent to 2 min of thorough vortexing, proteins were precipitated for 30 min at 4°C.The supernatant of the liquid-liquid extraction was collected after a 10-min centrifugation step (15 000 x g, at 4 %C). Next, the extract was evaporated to dryness using a N-evaporator. The residue was diluted in 200 µl of ultrapure water, vortexed for 30 sec and centrifugated(10 min, 15 000 x g, at 4°C), before transferring to a glass HPLCvial with insert. |
| Processing Storage Conditions: | Described in summary |
| Extraction Method: | liquid-liquid |
| Extract Storage: | 4℃ |
| Sample Resuspension: | ultrapure water |
| Sample Spiking: | ISTD |
Combined analysis:
| Analysis ID | AN007298 | AN007299 |
|---|---|---|
| Chromatography ID | CH005541 | CH005541 |
| MS ID | MS006992 | MS006993 |
| Analysis type | MS | MS |
| Chromatography type | Reversed phase | Reversed phase |
| Chromatography system | Thermo Dionex Ultimate 3000 | Thermo Dionex Ultimate 3000 |
| Column | Waters ACQUITY UPLC HSS T3 (150 x 2.1mm,1.8um) | Waters ACQUITY UPLC HSS T3 (150 x 2.1mm,1.8um) |
| MS Type | ESI | ESI |
| MS instrument type | Orbitrap | Orbitrap |
| MS instrument name | Thermo Q Exactive Orbitrap | Thermo Q Exactive Orbitrap |
| Ion Mode | NEGATIVE | POSITIVE |
| Units | iQC normalized AUC | iQC normalized AUC |
Chromatography:
| Chromatography ID: | CH005541 |
| Chromatography Summary: | Reversed phase Chromatography |
| Methods ID: | CH003650 |
| Instrument Name: | Thermo Dionex Ultimate 3000 |
| Column Name: | Waters ACQUITY UPLC HSS T3 (150 x 2.1mm,1.8um) |
| Column Temperature: | 45 |
| Flow Gradient: | A gradient profile with following proportions (v/v) of solvent A was applied: 0e1.5 min at 98%, 1.5e7.0 min from 98% to 75%, 7.0e8.0 min from 75% to 40%, 8.0e12.0 min from 40% to 5%, 12.0e14.0 min at 5%, 14.0e14.1 min from 5 to 98%, followed by 4.0 min of re-equilibration. |
| Flow Rate: | 0.4 ml/min |
| Solvent A: | 100% water; 0.1% formic acid |
| Solvent B: | 100% acetonitrile; 0.1% formic acid |
| Chromatography Type: | Reversed phase |
MS:
| MS ID: | MS006992 |
| Analysis ID: | AN007298 |
| Instrument Name: | Thermo Q Exactive Orbitrap |
| Instrument Type: | Orbitrap |
| MS Type: | ESI |
| MS Comments: | MS acquisition: Xcalibur, polarity switching mode, according to De Paepe et al, 2018 Targeted data processing: TARDIS Untargeted data acquisition: Compound Discoverer, R studio |
| Ion Mode: | NEGATIVE |
| Capillary Voltage: | 90 V |
| Ionization: | Negative |
| Spray Voltage: | - 5 kV |
| MS ID: | MS006993 |
| Analysis ID: | AN007299 |
| Instrument Name: | Thermo Q Exactive Orbitrap |
| Instrument Type: | Orbitrap |
| MS Type: | ESI |
| MS Comments: | MS acquisition: Xcalibur, polarity switching mode, according to De Paepe et al, 2018 Targeted data processing: TARDIS Untargeted data acquisition: Compound Discoverer, R studio |
| Ion Mode: | POSITIVE |
| Capillary Voltage: | 90 V |
| Ionization: | Positive |
| Spray Voltage: | + 5 kV |