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PRJEB84244 ERP167771

Gut microbiome shifts in Polish mountaineers at high altitude

High-altitude mountaineering induces adaptive gut microbiome shifts associated with dietary intake and performance markers

32 samples from Polish adult male mountaineers, collected before and after multi-week high-altitude expeditions (>3,000 masl), in an intervention study examining diet- and altitude-related gut microbiome changes. machine-written summary

32 samples · 32 runs · PL · Adult · 2025 · 2.75 Gbp / sample

Sources
✓Sequence archive 128○Abstract / description✓Full text 96○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 archive128 sample values (collection date, country, subject id, timepoint)
○ Abstract / descriptionread; no usable statement
✓ Full text96 sample values (lifestyle, location site, sex) · PMC12559227
○ 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
Samples at a glance
1 country
Age
adult32
Sex
male32
Country
PL32
Body site
unknown32
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: 1 samplesall projects, 1–3 Gbp: 124,983 samples (22 %)this project, 1–3 Gbp: 17 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 13 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 2.75 Gbp per sample0130Gbp
Sampling design and relatedness

longitudinal — not resolved

16 of 16 people sampled more than once (32 samples; median 2, up to 2 per person). Schedule stated by the source: “Stool collected ~2 weeks before expedition and up to 4 days (3.88±1.49 days) after returning from a multi-week (>3 week) expedition above 3,000 masl.”.

How longitudinal and relatedness information is derived

Community composition
Blautia_A 10.3%Faecalibacterium 8.0%Bifidobacterium 7.9%Roseburia 4.5%Fusicatenibacter 4.3%Prevotella 3.8%Collinsella 3.1%Gemmiger 3.0%Phocaeicola 2.8%Bacteroides 2.7%Anaerostipes 2.5%Ruminococcoides 2.4%not assigned to a genus 7.2%other genera 37.5%

Genera, mean relative abundance over 25 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category32 100%
country32 100%32
health_condition0 0%
subject_id32 100%32
collection_date32 100%32
detailed_location32 100%
lifestyle32 100%32
location_site32 100%32
sex32 100%32
timepoint_label32 100%32
Papers (1)
  • High-altitude mountaineering induces adaptive gut microbiome shifts associated with dietary intake and performance markers. 2025 PMID 41145643 PMC12559227 own_data
Details
Archive description

Background: High-altitude mountaineering presents challenges like hypoxia, extreme temperatures, and limited food availability, potentially affecting athletes’ health, performance, and the gut microbiome - a key mediator of nutrient metabolism and immune function. Objectives: This study examined how high-altitude exposure and expedition-specific dietary changes influence gut microbiome composition, functional pathways, and their relationships with performance and health markers in experienced mountaineers. Methods: Seventeen Polish male mountaineers (23–40 years old) participating in multi-week expeditions above 3000 masl were assessed before and after their climbs. Assessments included dietary intake analysis, blood and urine biomarkers, aerobic and anaerobic performance tests (VO₂max and Wingate tests), and metagenomic sequencing of the gut microbiome. Bioinformatic and statistical analyses evaluated changes in microbiome composition and function and their correlations with physiological and dietary parameters. Results: High-altitude exposure was associated with significant shifts in gut microbial composition and functional capacity. While the total number of bacterial species and functions remained stable, the glucose degradation pathway increased post-expedition. Participants with greater microbiome shifts showed improved performance (e.g., higher VT₂ pace) and had richer baseline microbiomes. Pre-expedition, certain microbial functions were associated with vitamin B₆ and C intake, while post-expedition correlations involved specific macronutrients and micronutrients. Additionally, some microbiome changes correlated with blood markers, indicating links to nutrient metabolism and electrolyte balance. Conclusions: The gut microbiome of high-altitude mountaineers adapts to extreme environmental stress and dietary changes, influencing metabolic, immune, and performance-related processes. Optimizing dietary strategies to support a beneficial microbiome profile may enhance resilience and performance in challenging high-altitude environments.

How this project entered the registry

Classified as human gut / stool / vaginal / urogenital / blood / tissue / internal fluids shotgun DNA metagenome of adult by deterministic_prior with confidence 0.90. Assay shotgun_dna.

  • host external_curation.infant_catalog · “infant triage reason_code age_adult_only”
  • body site study.title · “mountaineering induces adaptive gut microbiome shifts associated”
  • body site study.description · “performance, and the gut microbiome - a”
  • body site study.description · “analysis, blood and urine biomarkers, aerobic and”
  • body site study.description · “dietary intake analysis, blood and urine biomarkers,”
  • life stage external_curation.infant_catalog · “infant triage reason_code age_adult_only”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMEA117586683collection_date2023R10.90biosample.attribute:collection_date2023
SAMEA117586683countryPLR10.90sample.attr.geographic_location_country_and_or_seaPoland
SAMEA117586683lifestyleextreme_environmentR30.70paper.fulltext.methods17 male mountaineers from Poland
SAMEA117586683location_sitehigh-mountain clubs affiliated with the Polish Mountaineering AssociationR30.70paper.fulltext.methodsmembers of high-mountain clubs affiliated with the Polish Mountaineering Association
SAMEA117586683sexmaleR30.70paper.fulltext.methods17 male mountaineers from Poland
SAMEA117586683subject_idA1R10.70sample.name_rule:aliasA1MHWI
SAMEA117586683timepoint_labelBeforeR10.85sample.attr.timepointBefore
Sequencing

32 runs over 32 samples · mean 3.00 Gbp per run (median 2.75 Gbp, total 96.04 Gbp; 32 runs with a base count) · layout PAIRED 32 · platform ILLUMINA 32 · models Illumina NovaSeq 6000 (32) · 78% of runs with a Sandpiper profile · first public 2025-01-14

Authors (6)

Karpęcka-Gałka E first · Zielińska K · Frączek B · Łabaj PP · Kościółek T · Humińska-Lisowska K last

Downloads

PRJEB84244.csv.gz (1.8 KB) · parquet (71.1 KB) — all 32 samples, every field with route and confidence · PRJEB84244_determinations.csv.gz (2.2 KB) — 224 evidence rows

Samples (32 · every field this project has values for · hover a cell for its source)
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