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PRJEB76236 ERP160795

Polyphenol-rich diet and gut microbiome in elderly, Italy

MaPLE insights into microbiome and metabolome.

200 fecal/blood/urine samples from older adults (≥60 years) in Italy, in a randomized crossover dietary intervention comparing a polyphenol-rich diet to a control diet, stratified by baseline inflammation level. machine-written summary

200 samples · 200 runs · IT · Elderly · 2024 · 0.85 Gbp / sample

Sources
✓Sequence archive 972✓Abstract / description 200✓Full text 400○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 archive972 sample values (collection date, country, intervention, subject id, timepoint)
✓ Abstract / description200 sample values (health condition detail)
✓ Full text400 sample values (location locality, location site) · PMC12702650
○ 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 resolved

NControlled / prescribed diet or feeding regimen: 50 people · 72 samplesdiet 50 people · 72 samplesControl / pre-intervention baseline (sample level only): 50 people · 100 samplesno intervention 50 people · 100 samples
crossover (arm order not resolved)

Controlled / prescribed diet or feeding regimen design crossover · Polyphenol-rich diet vs control diet, 8 weeks

“Participants received a PR-diet or a control diet” — abstract:41403880 (study level; per-sample arms are in the intervention column below)

Samples at a glance
1 country
Age
elderly200
Country
IT200
Body site
primary200
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: 1 samplesall projects, 0.1–0.3 Gbp: 29,179 samples (5 %)this project, 0.1–0.3 Gbp: 1 samplesall projects, 0.3–1 Gbp: 47,044 samples (8 %)this project, 0.3–1 Gbp: 138 samplesall projects, 1–3 Gbp: 124,983 samples (22 %)this project, 1–3 Gbp: 60 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 0.85 Gbp per sample0130Gbp
Sampling design and relatedness

longitudinal — not resolved

50 of 50 people sampled more than once (200 samples; median 4, up to 4 per person). Schedule stated by the source: “Crossover: T0/T1 = beginning/end of 1st 8-week diet phase, washout, then T2/T3 = beginning/end of 2nd 8-week diet phase; blood/feces/urine collected each time.” (time origin: intervention_start).

How longitudinal and relatedness information is derived

Community composition
Bifidobacterium 11.2%Blautia_A 7.5%Ruminococcoides 7.0%Collinsella 5.5%Faecalibacterium 5.1%Gemmiger 3.7%Roseburia 3.0%Escherichia 2.0%Streptococcus 1.8%CAG-217 1.6%Fusicatenibacter 1.6%Bacteroides 1.5%not assigned to a genus 13.6%other genera 34.9%

Genera, mean relative abundance over 183 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category200 100%
country200 100%200
health_condition0 0%
subject_id200 100%200
collection_date200 100%200
detailed_location200 100%
health_condition_detail200 100%200
location_locality200 100%200
location_site200 100%200
timepoint_label200 100%200
intervention172 86%172
Papers (1)
  • Effect of a polyphenol-rich dietary pattern on subjects aged ≥ 60 years with higher levels of inflammatory markers: insights into microbiome and metabolome. 2025 PMID 41403880 PMC12702650 own_data
Details
Archive description

The intake of polyphenol-rich foods may represent a promising strategy to preserve intestinal barrier integrity. A polyphenol-rich diet (PR-diet) could therefore be particularly important for older people, who are characterized by higher intestinal permeability and “inflammaging”. The present study has been developed in the context of the project entitled “Microbiomics mAnipulation through Polyphenols for managing the Leakiness in the Elderly” (MaPLE), funded by the European Joint Programming Initiative – “A Healthy Diet for a Healthy Life”. The MaPLE project conducted an 8-week, randomized, controlled dietary intervention study comparing the physiological parameters and metabolites derived from serum, urine, and feces between participants following a PR-diet and those following a standard Control diet. The inflammatory markers in serum (CRP, TNF-α, IL-6, calprotectin) and feces (calprotectin) were measured. Based on these markers using clustering algorithm it has been noted that older individuals were stratified in two clusters (R:0.49 P=0.01): the high (cH) and low (cL) inflammatory level clusters. The microbiome diversity analyzed by shallow shotgun metagenomics significantly predicted the two clusters (AUC: 0.96). The results showed the ability of PR-diet to decrease several physiological parameters in cH volunteers (triglycerides, AST, and serum calprotectin). In addition, the PR-diet modulated the α-diversity (increasing of CHAO1 index) and taxonomic composition of the fecal microbiome in the cH group inducing the expansion of the genus Blautia, and the species Anaerobutyricum (formerly Eubacterium) hallii, Anaerostipes hadrus, Ruminococcus gnavus, and Dorea formicigenerans. Additionally, the PR-diet had an impact on the levels of several metabolites in serum (including asymmetric-dimethylarginine, phenylacetylglutamine, xanthosine, oleoyl-carnitine, 4-4-methyl-2-oxovaleric, Ergothioneine, and ascorbic acid), urine (1-O-methylpyrogallol, dihydroresveratrol 4'-glucuronide, 2-hydroxybenzoic acid, methyl(epi)catechin, and N-acetyl-S-allylcysteine), and feces (tryptophan). These metabolites were found to be significantly different between the two groups. Furthermore, gene prediction analysis revealed differences in two pathways (thiazole biosynthesis and inosine-5’-phosphate biosynthesis III) that were negatively and positively correlated with inflammatory markers, respectively. In summary, these findings from the clusterization of volunteers in two groups, aligned with the bacterial composition of the fecal microbiota, suggest a robust association between inflammaging, the intestinal microbiome and metabolites. This research enhances our understanding of the complex relationship between diet, the microbiome, and inflammation in aging, offering opportunities for the development of new avenues in dietary interventions to promote healthy aging.

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of elderly by sonnet_x2 with confidence 0.60. Assay shotgun_dna.

  • host study.description · “dietary intervention study comparing the physiological parameters”
  • body site study.description · “metabolites derived from serum, urine, and feces”
  • life stage study.description · “particularly important for older people”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMEA115713851collection_date2017-06R10.90biosample.attribute:collection_date2017-06
SAMEA115713851countryITR10.90sample.attr.geographic_location_country_and_or_seaItaly
SAMEA115713851health_condition_detailmixed_case_control: subjects stratified by baseline inflammation: high inflammation vs low inflammationR40.50paper.abstractcategorized into two subgroups: high inflammation (cH) and low inflammation (cL)
SAMEA115713852interventiondiet_interventionR10.70sample.name_rule:titleFA01T1_T1_PR_END
SAMEA115713851location_localityPaduaR30.70paper.fulltext.methodsCivitas Vitae nursing home (Padua, Italy)
SAMEA115713851location_siteCivitas Vitae nursing homeR30.70paper.fulltext.methodsCivitas Vitae nursing home (Padua, Italy)
SAMEA115713851subject_idFA01R10.70sample.name_rule:titleFA01T0_T0_PR_BEG
SAMEA115713851timepoint_labelT0R10.70sample.name_rule:titleFA01T0_T0_PR_BEG
Sequencing

200 runs over 200 samples · mean 0.88 Gbp per run (median 0.85 Gbp, total 175.99 Gbp; 200 runs with a base count) · layout PAIRED 200 · platform ILLUMINA 200 · models Illumina MiSeq (200) · 92% of runs with a Sandpiper profile · first public 2024-06-07

Authors (10)

Gargari G first · Meroño T · Peron G · Del Bo' C · Marino M · Cherubini A · Andres-Lacueva C · Kroon PA · Riso P · Guglielmetti S last

Downloads

PRJEB76236.csv.gz (5.7 KB) · parquet (77.4 KB) — all 200 samples, every field with route and confidence · PRJEB76236_determinations.csv.gz (9.8 KB) — 1,572 evidence rows

Samples (200 · every field this project has values for · hover a cell for its source)
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