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PRJEB108545 ERP189380

Coffee intervention and gut microbiome-brain axis in Irish adults

Coffee Shapes the Gut Microbiome and Host Cognition

269 faecal samples from healthy adult participants in Ireland, studied in an intervention design examining coffee consumption's effects on gut microbiome composition, metabolites, and host cognition. machine-written summary

269 samples · 269 runs · IE · Adult · 2026 · 3.97 Gbp / sample

Sources
✓Sequence archive 807○Abstract / description✓Full text 1,614○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 archive807 sample values (country, subject id, timepoint)
○ Abstract / descriptionread; no usable statement
✓ Full text1,614 sample values (antibiotic exposure, collection date, health condition, health condition detail, location locality, location site) · PMC13100100
○ 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

design non_randomized_controlled

Samples at a glance
1 country
Age
adult269
Condition
healthy_control269
Country
IE269
Body site
primary269
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 %)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: 29 samplesall projects, 1–3 Gbp: 124,983 samples (22 %)this project, 1–3 Gbp: 77 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 154 samplesall projects, 10–30 Gbp: 72,533 samples (13 %)this project, 10–30 Gbp: 9 samplesall 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 3.97 Gbp per sample0130Gbp
Sampling design and relatedness

longitudinal — not resolved

31 of 60 people sampled more than once (240 samples; median 8, up to 8 per person). Schedule stated by the source: “CD: baseline (V2), withdrawal day2/4 (T2W/T4W), end of 2-wk withdrawal (V3/day14), intervention day2/4/14 (T2I/T4I/T14I), end of 3-wk reintroduction (V4); NCD sampled once (baseline).”; stated follow-up 35 d.

How longitudinal and relatedness information is derived

Community composition

No Sandpiper profile for this project's samples yet.

Field coverage
fieldsamplescoverageR1R2R3R4
age_category269 100%
country269 100%269
health_condition269 100%269
subject_id269 100%269
antibiotic_exposure269 100%269
collection_date269 100%269
detailed_location269 100%
health_condition_detail269 100%269
location_locality269 100%269
location_site269 100%269
timepoint_label269 100%269
Papers (1)
  • Habitual coffee intake shapes the gut microbiome and modifies host physiology and cognition. 2026 PMID 42014402 PMC13100100 own_data
Details
Archive description

Coffee influences multiple physiological processes, including gut function, stress, cognition, and the microbiome. However, the mechanisms underlying these effects remain poorly understood. In this study, we examined coffee’s impact on the microbiota–gut–brain axis—a bidirectional communication pathway between the gut microbiome and the brain—and assessed whether these effects occur independently of caffeine in healthy participants. Significant group differences emerged in faecal microbiome composition, with coffee drinkers showing increased relative abundance of Cryptobacterium and Eggerthella species, alongside reduced levels of the metabolite’s indole-3-propionic acid, indole-3-carboxyaldehyde, and the neurotransmitter γ-aminobutyric acid. Behaviourally, coffee drinkers exhibited greater impulsivity and emotional reactivity, whereas non-coffee drinkers demonstrated better memory performance. Some alterations in the faecal metabolome were reversible following coffee abstinence, and reintroduction triggered acute microbiome changes independent of caffeine. An integrated model identified nine key metabolites—including theophylline, caffeine, and selected phenolic acids—strongly linked to microbial species and cognitive measures. These findings reveal previously unrecognised effects of coffee on the microbiota–gut–brain axis, suggesting that microbiome profiles could potentially predict coffee consumption patterns and highlighting a close association between coffee intake and gut microbial composition.

How this project entered the registry

Classified as human gut / stool 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 · “Coffee Shapes the Gut Microbiome and Host”
  • body site study.description · “physiological processes, including gut function, stress, cognition,”
  • life stage external_curation.infant_catalog · “infant triage reason_code age_adult_only”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMEA121646904antibiotic_exposurenoR30.70paper.fulltext.methodsantibiotics/probiotics/prebiotics (minimum 4 weeks of washout to participate)
SAMEA121646904collection_date2021-09/2023-01R30.70paper.fulltext.methodsrecruited for the study between September 2021 and January 2023
SAMEA121646904countryIER10.90sample.attr.geographic_location_country_and_or_seaIreland
SAMEA121646904health_conditionhealthy_controlR30.70paper.fulltext.methodshealthy adults between 30 and 50 years of age
SAMEA121646904health_condition_detailhealthy participants; no significant acute or chronic coexisting illnessR30.70paper.fulltext.methodshealthy adults between 30 and 50 years of age
SAMEA121646904location_localityCorkR30.70paper.fulltext.methodsscreening visit at University College Cork
SAMEA121646904location_siteUniversity College CorkR30.70paper.fulltext.methodsscreening visit at University College Cork
SAMEA121646904subject_id003R10.70sample.name_rule:sample_alias003-CD-T14I_S75_ME
SAMEA121646904timepoint_labelT14IR10.70sample.name_rule:sample_alias003-CD-T14I_S75_ME
Sequencing

269 runs over 269 samples · mean 4.31 Gbp per run (median 3.97 Gbp, total 1,159.94 Gbp; 269 runs with a base count) · layout PAIRED 269 · platform ILLUMINA 269 · models Illumina NovaSeq 6000 (269) · 0% of runs with a Sandpiper profile · first public 2026-03-26

Authors (24)

Boscaini S first · Bastiaanssen TFS · Moloney GM · Bergamo F · Zeraik L · O'Leary C · Ferri A · Irfan M · van der Rhee M · Lindemann TIF · Schneider E · Meyyappan AC · Harold KB · Long-Smith CM · Carbia C · O'Riordan KJ · de Alvarenga JFR · Tosi N · Del Rio D · Rosi A · Bresciani L · Mena P · Clarke G · Cryan JF last

Downloads

PRJEB108545.csv.gz (7.6 KB) · parquet (79.9 KB) — all 269 samples, every field with route and confidence · PRJEB108545_determinations.csv.gz (13.3 KB) — 2,421 evidence rows

Samples (269 · every field this project has values for · hover a cell for its source)
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