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PRJEB72300 ERP157089

Ketogenic vs sugar-restricted diet RCT, gut microbiome

Ketogenic diet (but not sugar restriction) alters glucose tolerance, lipid metabolism, peripheral tissue phenotype and the gut microbiome: an RCT.

131 samples from healthy UK adults in a randomized controlled trial comparing free-sugar restriction and ketogenic diets over 12 weeks, assessing effects on metabolism and gut microbiome. machine-written summary

131 samples · 131 runs · GB · Adult · 2024 · 1.73 Gbp / sample

Sources
✓Sequence archive 786✓Abstract / description 262✓Full text 262○Supplementary tables–External resources–User contribution–Human verified

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

what each source gave
✓ Sequence archive786 sample values (country, latitude, location region, longitude, subject id, timepoint)
✓ Abstract / description262 sample values (health condition, health condition detail)
✓ Full text262 sample values (antibiotic exposure, location locality) · PMC11384946
○ Supplementary tablesfiles read; no table could be matched to the samples
– External resourcesnot covered by the external resources we ingest
– User contributionnothing uploaded yet
– Human verifiednot yet checked by a person · I checked this project — verify it
Interventions

intervention — arms not resolved

Controlled / prescribed diet or feeding regimen design randomized_controlled_trial · population healthy_control · Randomized ketogenic diet vs free-sugar restriction vs control, 12 weeks

“randomization to restricting free sugars or overall carbohydrates” — abstract:39106867 (study level; per-sample arms are in the intervention column below)

Samples at a glance
1 sampling locations · 1 country
Age
adult131
Condition
healthy_control131
Country
GB131
Body site
primary131
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 %)this project, 0.03–0.1 Gbp: 1 samplesall projects, 0.1–0.3 Gbp: 29,179 samples (5 %)this project, 0.1–0.3 Gbp: 9 samplesall projects, 0.3–1 Gbp: 47,044 samples (8 %)this project, 0.3–1 Gbp: 34 samplesall projects, 1–3 Gbp: 124,983 samples (22 %)this project, 1–3 Gbp: 62 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 24 samplesall 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 1.73 Gbp per sample0130Gbp
Sampling design and relatedness

longitudinal

47 of 48 people sampled more than once (130 samples; median 3, up to 3 per person) · follow-up median 3 mo (max 3 mo) · median interval between samples 28 d (time from timepoint labels). Schedule stated by the source: “Faecal samples at baseline, week 4, and week 12 of a 12-week dietary intervention” (time origin: intervention_start); stated follow-up 3 mo.

11: day 01: day 281: day 841010: day 010: day 2810: day 841111: day 011: day 2811: day 841616: day 016: day 2816: day 841717: day 017: day 2817: day 841818: day 018: day 2818: day 841919: day 019: day 2819: day 8422: day 02: day 282: day 842222: day 022: day 2822: day 842323: day 023: day 2823: day 842424: day 024: day 2824: day 842626: day 026: day 2826: day 842828: day 028: day 2828: day 842929: day 029: day 2829: day 8433: day 03: day 283: day 843030: day 030: day 2830: day 843131: day 031: day 2831: day 843232: day 032: day 2832: day 843636: day 036: day 2836: day 843737: day 037: day 2837: day 843838: day 038: day 2838: day 843939: day 039: day 2839: day 8444: day 04: day 284: day 844040: day 040: day 2840: day 844242: day 042: day 2842: day 844343: day 043: day 2843: day 844545: day 045: day 2845: day 844646: day 046: day 2846: day 844747: day 047: day 2847: day 8455: day 05: day 285: day 845353: day 053: day 2853: day 845454: day 054: day 2854: day 845555: day 055: day 2855: day 845757: day 057: day 2857: day 8466: day 06: day 286: day 8499: day 09: day 289: day 840 d21 d42 d2 mo3 mo

Each row is one person (36 shown of 47); dots are samples at days since that person's first sample.

How longitudinal and relatedness information is derived

Community composition
Bacteroides 16.0%Phocaeicola 13.5%Alistipes 7.3%Prevotella 5.8%Faecalibacterium 4.1%Roseburia 3.0%Vescimonas 2.1%Parabacteroides 2.1%Blautia_A 1.4%Acetatifactor 1.2%Lachnospira 1.1%Barnesiella 1.1%not assigned to a genus 12.3%other genera 28.9%

Genera, mean relative abundance over 118 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category131 100%
country131 100%131
health_condition131 100%131
subject_id131 100%131
antibiotic_exposure131 100%131
detailed_location131 100%
health_condition_detail131 100%131
latitude131 100%131
location_locality131 100%131
location_region131 100%131
longitude131 100%131
timepoint_label131 100%131
Papers (1)
  • Ketogenic diet but not free-sugar restriction alters glucose tolerance, lipid metabolism, peripheral tissue phenotype, and gut microbiome: RCT. 2024 PMID 39106867 PMC11384946 own_data
Details
Archive description

Restricted sugar and ketogenic diets can both alter energy balance and metabolism, but any resultant decrease in energy intake may be counteracted by compensatory reductions in energy expenditure. In healthy adults, randomization to restriction of free-sugars or overall carbohydrates (ketogenic diet) for 12 weeks reduced fat mass without changes in physical activity or resting metabolic rate, compared to a control diet. Free-sugar restriction had minimal effect on metabolism or gut microbiome other than decreased serum low-density lipoprotein cholesterol concentrations. In contrast, ketogenic diet-induced weight loss decreased glucose tolerance, coinciding with increased PDK4 and reduced AMPK and GLUT4 levels in skeletal muscle. In the first 4 weeks, the ketogenic diet reduced fasting glucose, increased apolipoprotein B, C-reactive protein and postprandial glycerol concentrations. However, despite sustained ketosis, these effects were no longer apparent by week 12, when gut microbial beta diversity was altered, possibly reflective of longer-term ketotic adaptation and/or new energy balance status. These data demonstrate that restricting either free-sugars or overall carbohydrates can reduce energy intake without altering physical activity, but with divergent effects on glucose tolerance, lipoprotein profiles and gut microbial composition.

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of adult by sonnet_x2 with confidence 0.72. Assay shotgun_dna.

  • host run.scientific_name · “human gut metagenome”
  • body site run.scientific_name · “human gut metagenome”
  • life stage study.description · “In healthy adults, randomization to restriction”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMEA115719822antibiotic_exposurenoR30.70paper.fulltext.methodsuse of antibiotic medication in the previous 3 months
SAMEA115719822countryGBR10.90sample.attr.geographic_location_country_and_or_seaUnited Kingdom
SAMEA115719822health_conditionhealthy_controlR40.50study.descriptionIn healthy adults, randomization to restriction
SAMEA115719822health_condition_detailhealthy adults randomized to dietary intervention armsR40.50study.descriptionhealthy adults, randomization to restriction of free-sugars or overall carbohydrates
SAMEA115719822latitude51.3793R10.90biosample.attribute:geographic_location_latitude+geographic_location_longitude51.3793 -2.3272
SAMEA115719822location_localityBathR30.70paper.fulltext.methodsparticipants from the local area of Bath
SAMEA115719822location_regionEnglandR10.60biosample.attribute:geographic_location_latitude+geographic_location_longitude51.3793 -2.3272
SAMEA115719822longitude-2.3272R10.90biosample.attribute:geographic_location_latitude+geographic_location_longitude51.3793 -2.3272
SAMEA115719822subject_id1R10.70sample.name_rule:sample_title1Achebi
SAMEA115719822timepoint_labelbaselineR10.70sample.name_rule:sample_title1Achebi
Sequencing

131 runs over 131 samples · mean 1.82 Gbp per run (median 1.73 Gbp, total 238.79 Gbp; 131 runs with a base count) · layout PAIRED 131 · platform ILLUMINA 131 · models NextSeq 2000 (131) · 90% of runs with a Sandpiper profile · first public 2024-07-31

Authors (22)

Hengist A first · Davies RG · Walhin JP · Buniam J · Merrell LH · Rogers L · Bradshaw L · Moreno-Cabañas A · Rogers PJ · Brunstrom JM · Hodson L · van Loon LJC · Barton W · O'Donovan C · Crispie F · O'Sullivan O · Cotter PD · Proctor K · Betts JA · Koumanov F · Thompson D · Gonzalez JT last

Downloads

PRJEB72300.csv.gz (4.2 KB) · parquet (75.4 KB) — all 131 samples, every field with route and confidence · PRJEB72300_determinations.csv.gz (9.0 KB) — 1,310 evidence rows

Samples (131 · every field this project has values for · hover a cell for its source)
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