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PRJEB109268 ERP190049

Hybrid athletes' gut microbiota and diet intervention

Gut Microbiome Personalized Sports nutrition (GUMPS)

30 stool samples from Mediterranean adults across three groups (hybrid-sport athletes, Muay Thai fighters, sedentary controls) examined for microbiota composition changes following three-month dietary intervention using 16S rRNA sequencing and metagenomic analysis. machine-written summary

30 samples · 30 runs · MT · Adult · 2026 · 0.78 Gbp / sample

Sources
✓Sequence archive 90○Abstract / description✓Full text 30✓Supplementary tables 150–External resources–User contribution–Human verified

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

what each source gave
✓ Sequence archive90 sample values (collection date, subject id, timepoint)
○ Abstract / descriptionread; no usable statement
✓ Full text30 sample values (country) · PMC13490064
✓ Supplementary tables150 sample values (age, bmi, intervention, lifestyle, sex)
– 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 resolved

NSynbiotic (probiotic + prebiotic): 9 people · 18 samplessynbiotic 9 people · 18 samplesControlled / prescribed diet or feeding regimen: 6 people · 12 samplesdiet 6 people · 12 samples
non-randomised arms

Controlled / prescribed diet or feeding regimen Non-microbial dietary supplement (vitamins Exercise / physical-training programme design non_randomized_controlled · population healthy_control · Three-month dietary intervention plus microbiota-targeted supplementation in hybrid-sport athletes vs sedentary

“dietary intervention plus microbiota-targeted supplementation” — abstract:42625862 (study level; per-sample arms are in the intervention column below)

Samples at a glance
1 country
Age
adult30
Sex
male18
female12
Country
MT30
Body site
primary30
Collected 2024–2025
2024: 4 samples2025: 26 samples20242025
Sequencing depth per sample · this project all projects
all projects, 0–0.03 Gbp: 25,080 samples (4 %)all projects, 0.03–0.1 Gbp: 17,066 samples (3 %)this project, 0.03–0.1 Gbp: 2 samplesall projects, 0.1–0.3 Gbp: 29,179 samples (5 %)this project, 0.1–0.3 Gbp: 3 samplesall projects, 0.3–1 Gbp: 47,044 samples (8 %)this project, 0.3–1 Gbp: 19 samplesall projects, 1–3 Gbp: 124,983 samples (22 %)this project, 1–3 Gbp: 6 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 0.78 Gbp per sample0130Gbp
Sampling design and relatedness

longitudinal

15 of 15 people sampled more than once (30 samples; median 2, up to 2 per person) · follow-up median 4 mo (max 12 mo) · median interval between samples 4 mo (time from collection months (month precision)). Schedule stated by the source: “Baseline and follow-up (after ~3-month dietary intervention) stool samples per subject”; stated follow-up 3 mo.

014014: day 0014: day 151015015: day 0015: day 151016016: day 0016: day 365021021: day 0021: day 61022022: day 0022: day 181023023: day 0023: day 89034034: day 0034: day 123035035: day 0035: day 123036036: day 0036: day 123037037: day 0037: day 123038038: day 0038: day 123039039: day 0039: day 123040040: day 0040: day 123041041: day 0041: day 123042042: day 0042: day 1230 d3 mo6 mo9 mo12 mo

Each row is one person (15 shown); dots are samples at days since that person's first sample.

How longitudinal and relatedness information is derived

Community composition

No Sandpiper profile for this project's samples yet.

Field coverage
fieldsamplescoverageR1R2R3R4
age_category30 100%
country30 100%30
health_condition0 0%
subject_id30 100%30
age_at_collection_days30 100%30
bmi30 100%30
collection_date30 100%30
intervention30 100%30
lifestyle30 100%30
sex30 100%30
timepoint_label30 100%30
Papers (1)
  • Hybrid-sport participation is associated with gut microbiota composition: an exploratory longitudinal study. 2026 PMID 42625862 PMC13490064 own_data
Details
Archive description

Hybrid sports integrate high-intensity resistance exercise with sustained aerobic demands, yet how this combined training phenotype relates to gut microbiota composition and its response to dietary intervention remains unclear. We investigated whether participation in a hybrid sport is associated with distinct gut microbiota composition and whether a three-month dietary intervention alters microbial structure and functional potential, using other trained athletes and sedentary adults as comparators. Study participants (n=40) were enrolled across three groups: hybrid-sport athletes, Muay Thai fighters, and sedentary adults. Stool samples were collected at baseline and after three months of intervention and analyzed using full-length 16S ribosomal RNA gene sequencing in all participants, with paired shotgun metagenomic sequencing performed in a subset to assess microbial functional pathways related to metabolism and inflammation modulation.

How this project entered the registry

Classified as human gut / stool mixed assays of adult by sonnet_x2 with confidence 0.65. Assay mixed.

  • host run.scientific_name · “gut metagenome”
  • body site study.title · “Gut Microbiome Personalized Sports”
  • life stage study.description · “sedentary adults as comparators”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMEA121950375age_at_collection_days12053R20.85paper.supp.Table2.xlsx[Supplementary Table S2!Age]33
SAMEA121950375bmi28.6R20.85paper.supp.Table2.xlsx[Supplementary Table S2!BMI]28.6
SAMEA121950375collection_date2025-04R10.90biosample.attribute:collection_date2025-04
SAMEA121950375countryMTR30.70paper.fulltext.methodsUniversity of Malta, Msida, Malta, Faculty research
SAMEA121950375interventiondiet_interventionR20.85paper.supp.Table2.xlsx[Supplementary Table S2!Treatment]TBAGUMPS_014a_shotgun: Treatment=Diet
SAMEA121950375lifestyleathleteR20.85paper.supp.Table2.xlsx[Supplementary Table S2!Sport_category]TBAGUMPS_014a_shotgun: Sport_category=Fighters
SAMEA121950375sexmaleR20.85paper.supp.Table2.xlsx[Supplementary Table S2!Sex]M
SAMEA121950375subject_id014R10.70sample.name_rule:aliasTBAGUMPS_014a_shotgun
SAMEA121950375timepoint_labelAfterR10.85biosample.attribute:descriptionFighters_After
Sequencing

30 runs over 30 samples · mean 0.78 Gbp per run (median 0.78 Gbp, total 23.37 Gbp; 30 runs with a base count) · layout SINGLE 30 · platform OXFORD_NANOPORE 30 · models GridION (30) · 0% of runs with a Sandpiper profile · first public 2026-03-20

Authors (6)

Biazzo M first · De Jaegher S · Morganti L · Kirithras E · D'Aguanno M · Podrini C last

Downloads

PRJEB109268.csv.gz (1.8 KB) · parquet (71.3 KB) — all 30 samples, every field with route and confidence · PRJEB109268_determinations.csv.gz (3.1 KB) — 270 evidence rows

Samples (30 · every field this project has values for · hover a cell for its source)
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