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PRJEB28847 ERP111104

Ketogenic diet, gut microbiota, childhood epilepsy, Sweden

The ketogenic diet influences taxonomic and functional composition of the gut microbiota in children with severe epilepsy

48 fecal samples from Sweden, from children with therapy-resistant epilepsy and their non-diet parent controls, studied in a diet intervention design comparing gut microbiota before and after 3 months on a ketogenic diet. machine-written summary

48 samples · 48 runs · SE · Child · 2018 · 1.25 Gbp / sample · cohort Association between seizure reduction during ketog

Sources
✓Sequence archive 326✓Abstract / description 4✓Full text 142○Supplementary tables✓External resources 48–User contribution–Human verified

Checked this project's papers and archive records yourself? Mark it human-verified.

what each source gave
✓ Sequence archive326 sample values (collection date, country, health condition, health condition detail, intervention, subject id, timepoint)
✓ Abstract / description4 sample values (health condition, health condition detail)
✓ Full text142 sample values (family role, location locality, location site) · PMC11570732, PMC6344533, PMC9126955
○ Supplementary tablesfiles read; no table could be matched to the samples
✓ External resources48 sample values (antibiotic exposure) · from BugSigDB
– User contributionnothing uploaded yet
– Human verifiednot yet checked by a person · I checked this project — verify it
Interventions

Controlled / prescribed diet or feeding regimen · population neurological_psychiatric · Ketogenic diet for 3 months vs parent diet controls

“fecal samples from 12 children with therapy-resistant epilepsy before starting KD and” — bioproject.description (study level; per-sample arms are in the intervention column below)

Samples at a glance
1 country
Age
child48
Condition
healthy_control24
neurological_psychiatric24
Country
SE48
Body site
primary48
Collected 2014–2016
2014: 7 samples2015: 22 samples2016: 19 samples20142016
Sequencing depth per sample · this project all projects
all projects, 0–0.03 Gbp: 25,080 samples (4 %)this project, 0–0.03 Gbp: 1 samplesall projects, 0.03–0.1 Gbp: 17,066 samples (3 %)all projects, 0.1–0.3 Gbp: 29,179 samples (5 %)all projects, 0.3–1 Gbp: 47,044 samples (8 %)this project, 0.3–1 Gbp: 9 samplesall projects, 1–3 Gbp: 124,983 samples (22 %)this project, 1–3 Gbp: 38 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)all projects, 10–30 Gbp: 72,533 samples (13 %)all projects, 30–100 Gbp: 3,024 samples (1 %)all projects, 100–300 Gbp: 106 samples (0 %)all projects, ≥ 300 Gbp: 9 samples (0 %)project median 1.25 Gbp per sample0130Gbp
Sampling design and relatedness

longitudinalparent–child — not resolved

23 of 23 people sampled more than once (46 samples; median 2, up to 2 per person) · follow-up median 3 mo (max 3 mo) · median interval between samples 3 mo (time from timepoint labels). Schedule stated by the source: “stool before starting KD and again after 3 months on the diet” (time origin: intervention_start); stated follow-up 3 mo.

C.01C.01: day 0C.01: day 91C.04C.04: day 0C.04: day 91C.05C.05: day 0C.05: day 91C.07C.07: day 0C.07: day 91C.10C.10: day 0C.10: day 91C.14C.14: day 0C.14: day 91C.15C.15: day 0C.15: day 91C.18C.18: day 0C.18: day 91C.21C.21: day 0C.21: day 91C.22C.22: day 0C.22: day 91C.23C.23: day 0C.23: day 91P.03P.03: day 0P.03: day 91P.04P.04: day 0P.04: day 91P.05P.05: day 0P.05: day 91P.06P.06: day 0P.06: day 91P.08P.08: day 0P.08: day 91P.10P.10: day 0P.10: day 91P.11P.11: day 0P.11: day 91P.18P.18: day 0P.18: day 91P.19P.19: day 0P.19: day 91P.22P.22: day 0P.22: day 91P.23P.23: day 0P.23: day 91P.28P.28: day 0P.28: day 910 d23 d46 d2 mo3 mo

Each row is one person (23 shown); dots are samples at days since that person's first sample.

12 children on ketogenic diet and 11 healthy parents of the patients (same household); no pair key published.

How longitudinal and relatedness information is derived

Community composition
Bacteroides 8.0%Faecalibacterium 6.2%Bifidobacterium 6.1%Alistipes 5.0%Akkermansia 4.4%Prevotella 4.1%Blautia_A 3.2%Roseburia 3.1%Phocaeicola 3.1%Gemmiger 2.9%Collinsella 2.7%Ruminococcoides 1.8%not assigned to a genus 14.6%other genera 34.9%

Genera, mean relative abundance over 36 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category48 100%
country48 100%48
health_condition48 100%462
subject_id46 96%46
antibiotic_exposure48 100%48
collection_date48 100%48
detailed_location48 100%
health_condition_detail48 100%462
location_locality48 100%48
location_site48 100%48
family_role46 96%46
intervention46 96%46
timepoint_label46 96%46
Papers (3)
  • The ketogenic diet influences taxonomic and functional composition of the gut microbiota in children with severe epilepsy. 2019 PMID 30701077 PMC6344533 own_data
  • Higher levels of Bifidobacteria and tumor necrosis factor in children with drug-resistant epilepsy are associated with anti-seizure response to the ketogenic diet. 2022 PMID 35598439 PMC9126955 unsure
  • Association between seizure reduction during ketogenic diet treatment of epilepsy and changes in circulatory metabolites and gut microbiota composition. 2024 PMID 39500011 PMC11570732 unsure
Details
Archive description

The gut microbiota has been linked to various neurological disorders via the gut-brain-axis. Diet, in turn, influences the composition of the gut microbiota. The ketogenic diet (KD) is a high-fat, adequate-protein, low-carbohydrate diet established for treatment of therapy-resistant epilepsy in children. Its efficacy in reducing seizures has been confirmed, but the mechanisms remain elusive. The diet has also shown positive effects in a wide range of other diseases, including Alzheimer´s, depression, autism, cancer, and type 2 diabetes. We collected fecal samples from 12 children with therapy-resistant epilepsy before starting KD and after three months on the diet. Parents did not start KD and served as diet controls. Applying shotgun metagenomic DNA sequencing we established both taxonomic and functional profiles. While alpha diversity was not changed significantly during the diet, differences in both taxonomic and functional composition were detected. Bifidobacteria were significantly diminished during the intervention as well as E. rectale and Dialister. An increase in E. coli was observed on KD. Functional analysis revealed changes in 29 SEED subsystems including the reduction of seven pathways involved in carbohydrate metabolism. Decomposition of these shifts indicated that bifidobacteria and Escherichia were important contributors to the observed functional shifts. As health-promoting, fiber-consuming bacteria become less abundant during KD we raise concern about the effects of the diet on the gut microbiota and overall health. Further studies need to investigate whether these changes are necessary for the therapeutic effect of KD.

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of child by deterministic_prior with confidence 0.90. Assay shotgun_dna.

  • host external_curation.infant_catalog · “infant triage reason_code age_child_over_36m”
  • body site study.title · “composition of the gut microbiota in children”
  • body site study.description · “The gut microbiota has been”
  • life stage external_curation.infant_catalog · “infant triage reason_code age_child_over_36m”
  • life stage study.title · “gut microbiota in children with severe epilepsy”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMEA4947578antibiotic_exposurenoR20.60external.bugsigdb sourceAntibiotics exclusion: 3 months
SAMEA4947578collection_date2014R10.90biosample.attribute:collection_date2014
SAMEA4947578countrySER10.90sample.attr.geographic_location_country_and_or_seaSweden
SAMEA4947578family_roleparentR30.60biosample.attribute:aliasalias: CA.01
SAMEA4947578health_conditionneurological_psychiatricR10.70sample.name_rule:aliasCA.01
SAMEA4947600health_conditionneurological_psychiatricR40.50study.descriptionchildren with therapy-resistant epilepsy
SAMEA4947578health_condition_detailCR10.70sample.name_rule:aliasCA.01
SAMEA4947600health_condition_detailtherapy-resistant epilepsyR40.50study.descriptionchildren with therapy-resistant epilepsy
SAMEA4947578interventiondiet_interventionR10.70sample.name_rule:aliasCA.01
SAMEA4947578location_localityStockholmR30.70paper.fulltext.methodsRegionala etikprövningsnämden i Stockholm
SAMEA4947578location_siteAstrid Lindgren Children's Hospital, Karolinska Hospital, Neuropediatric DepartmentR30.70paper.fulltext.methodsNeuropediatric Department, Astrid Lindgren Children's Hospital, Karolinska Hospital
SAMEA4947578subject_idC.01R10.70sample.name_rule:aliasCA.01
SAMEA4947578timepoint_labelbaselineR10.70sample.name_rule:aliasCA.01
Sequencing

48 runs over 48 samples · mean 1.28 Gbp per run (median 1.25 Gbp, total 61.48 Gbp; 48 runs with a base count) · layout PAIRED 48 · platform ILLUMINA 48 · models Illumina MiSeq (48) · 75% of runs with a Sandpiper profile · first public 2018-12-20

Authors (16)

Lindefeldt M first · Eng A · Darban H · Bjerkner A · Zetterström CK · Allander T · Andersson B · Borenstein E · Dahlin M · Prast-Nielsen S last · Singleton SS · David JA · Basuchoudhary A · Wickström R · Mazumder R · Wheelock CE

Downloads

PRJEB28847.csv.gz (2.4 KB) · parquet (73.1 KB) — all 48 samples, every field with route and confidence · PRJEB28847_determinations.csv.gz (5.6 KB) — 520 evidence rows

Samples (48 · every field this project has values for · hover a cell for its source)
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