Gut microbiome in aging and longevity, Bologna, Italy
62 fecal shotgun metagenome samples from healthy individuals aged 22–105 (including semi-supercentenarians) in Bologna, Italy, in a cross-sectional study of gut microbiome changes with extreme aging. machine-written summary
62 samples · 62 runs · IT · Adult · 2019 · 5.35 Gbp / sample
Checked this project's papers and archive records yourself? Mark it human-verified.
what each source gave
| ✓ Sequence archive | 372 sample values (collection date, country, latitude, location locality, location region, longitude) |
| ○ Abstract / description | read; no usable statement |
| ○ Full text | read; no usable statement or table · PMC10294665, PMC10773633, PMC10904984, PMC11364081, PMC11488730, PMC11559365, PMC11969853, PMC13021664, PMC7093822, PMC8550338, PMC9163076, PMC9300991, PMC9492272 |
| ✓ Supplementary tables | 168 sample values (age, health condition detail, sex) |
| ✓ External resources | 68 sample values (health condition, health condition detail) · from GMrepo v3 |
| – User contribution | nothing uploaded yet |
| – Human verified | not yet checked by a person · I checked this project — verify it |
No Sandpiper profile for this project's samples yet.
| field | samples | coverage | R1 | R2 | R3 | R4 |
|---|---|---|---|---|---|---|
| age_category | 56 | 90% | ||||
| country | 62 | 100% | 62 | |||
| health_condition | 62 | 100% | 62 | |||
| subject_id | 0 | 0% | ||||
| collection_date | 62 | 100% | 62 | |||
| detailed_location | 62 | 100% | ||||
| health_condition_detail | 62 | 100% | 62 | |||
| latitude | 62 | 100% | 62 | |||
| location_locality | 62 | 100% | 62 | |||
| location_region | 62 | 100% | 62 | |||
| longitude | 62 | 100% | 62 | |||
| age_at_collection_days | 56 | 90% | 56 | |||
| sex | 56 | 90% | 56 |
- Shotgun Metagenomics of Gut Microbiota in Humans with up to Extreme Longevity and the Increasing Role of Xenobiotic Degradation. 2020 PMID 32209716 PMC7093822 own_data
- The Human Gut Resistome up to Extreme Longevity. 2021 PMID 34494880 PMC8550338 own_data
- RiboTaxa: combined approaches for rRNA genes taxonomic resolution down to the species level from metagenomics data revealing novelties. 2022 PMID 36159175 PMC9492272 own_data
- Aging-Associated Augmentation of Gut Microbiome Virulence Capability Drives Sepsis Severity. 2023 PMID 37102874 PMC10294665 own_data
- Metagenomic assembled plasmids of the human microbiome vary across disease cohorts. 2022 PMID 35654877 PMC9163076 unsure
10 more
- Gut Microbiota Composition and Metabolic Potential of Long-Living People in China. 2022 PMID 35875797 PMC9300991
- Isolation and characterization of a novel lytic Parabacteroides distasonis bacteriophage φPDS1 from the human gut. 2024 PMID 38178369 PMC10773633
- The gut microbiome of Baka forager-horticulturalists from Cameroon is optimized for wild plant foods. 2024 PMID 38433907 PMC10904984
- A metagenomics pipeline reveals insertion sequence-driven evolution of the microbiota. 2024 PMID 38565143 PMC11081829
- Consistent signatures in the human gut microbiome of longevous populations. 2024 PMID 39197040 PMC11364081
- Comprehensive gut microbiota composition and microbial interactions among the three age groups. 2024 PMID 39423213 PMC11488730
- Biosynthetic potential of the gut microbiome in longevous populations. 2024 PMID 39529240 PMC11559365
- Age-related dynamics of predominant methanogenic archaea in the human gut microbiome. 2025 PMID 40181255 PMC11969853
- Examination of shared gut microbiome signatures in aging and Parkinson's disease. 2026 PMID 41907847 PMC13021664
- Age-Related Dynamics of Methanogenic Archaea in the Human Gut Microbiome: Implications for Longevity and Health 2024
Archive description
Longevity has been described as the result of a complex combination of variables, hailing from genetics, lifestyle and environment. In this context, the intestinal microbiome has been proposed as a possible mediator of healthy aging that preserves host-environment homeostasis by counteracting inflammaging, intestinal permeability, and deterioration of cognitive and bone health. Correlations have been previously found between age-related gut microbiota dysbioses and levels of pro-inflammatory cytokines, hospitalization, poor diet and frailty in the elderly. More recently, the longest human gut microbiota trajectory along aging has been built, by comparing the fecal bacterial taxa from healthy adults and older individuals, also including semi- supercentenarians, i.e. people aged 105 or older. However, the functional changes that occur in the gut microbiome along with age are still largely unexplored. In an attempt to provide some glimpses in this direction and advance our knowledge on whether and how the gut microbiome may support the maintenance of health in extreme aging, here we characterized the fecal microbiome of 62 individuals, with age ranging from 22 to 105 years, by shotgun metagenomics. According to our findings, aging is characterized by an increased number of genes involved in xenobiotics degradation, as well as by rearrangements in metabolic pathways related to carbohydrate, amino acid and lipid metabolism. These microbiome features are even more boosted in semi- supercentenarians, probably representing the result of a life-long adaptive response to progressive changes in diet and lifestyle.
How this project entered the registry
Classified as human gut / stool / other human site / skin shotgun DNA metagenome of adult and elderly 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 · “metagenomics of human gut microbiota up to”
- body site study.description · “this context, the intestinal microbiome has been”
- body site study.description · “of cognitive and bone health. Correlations have”
- body site sample.attr.env_local_scale · “ENVO:0010001 (n=62/62)”
- life stage external_curation.infant_catalog · “infant triage reason_code age_adult_only”
- life stage study.description · “taxa from healthy adults and older individuals,”
- life stage study.description · “frailty in the elderly . More recently,”
Evidence examples (one per field × route)
| sample | field | value | route | conf. | source | quote |
|---|---|---|---|---|---|---|
| SAMN12231024 | age_at_collection_days | 36525 | R2 | 0.85 | paper.supp.mSystems.00124-20-st001.xlsx[Supplementary Table 1!Age] | 100 |
| SAMN12231024 | collection_date | 2009-01-12 | R1 | 0.90 | biosample.attribute:collection_date | 2009-01-12 |
| SAMN12231024 | country | IT | R1 | 0.90 | sample.attr.geo_loc_name | Italy: Bologna |
| SAMN12231024 | health_condition | healthy_control | R2 | 0.75 | external.gmrepo source | phenotype: Health |
| SAMN12231024 | health_condition_detail | C | R2 | 0.85 | paper.supp.mSystems.00124-20-st001.xlsx[Supplementary Table 1!Group] | C |
| SAMN12231080 | health_condition_detail | Health | R2 | 0.75 | external.gmrepo source | phenotype: Health |
| SAMN12231024 | latitude | 44.4949 | R1 | 0.90 | biosample.attribute:lat_lon | 44.494887 N 11.3426163 E |
| SAMN12231024 | location_locality | Bologna | R1 | 0.85 | biosample.attribute:geo_loc_name | Italy: Bologna |
| SAMN12231024 | location_region | Emilia-Romagna | R1 | 0.60 | biosample.attribute:lat_lon | 44.494887 N 11.3426163 E |
| SAMN12231024 | longitude | 11.3426 | R1 | 0.90 | biosample.attribute:lat_lon | 44.494887 N 11.3426163 E |
| SAMN12231024 | sex | female | R2 | 0.85 | paper.supp.mSystems.00124-20-st001.xlsx[Supplementary Table 1!Gender] | F |
Sequencing
62 runs over 62 samples · mean 5.54 Gbp per run (median 5.35 Gbp, total 343.36 Gbp; 62 runs with a base count) · layout PAIRED 62 · platform ILLUMINA 62 · models NextSeq 550 (62) · 95% of runs with a Sandpiper profile · first public 2019-12-09
Authors (47)
Tarracchini C first · Fontana F · Mancabelli L · Lugli GA · Alessandri G · Turroni F · Ventura M · Milani C last · De Biase R · Bocchio F · Viappiani A · De Conto F · Nouvenne A · Ticinesi A · Bussolati O · Meschi T · Cecchi R · Chen S first · Zhang Z · Liu S · Chen T · Lu Z · Zhao W · Mou X · van Sinderen D · Ma J first · Yang X · He J last · Wang X · Ma Y · Ruan H · Wu X · Li B · Mohammadzadeh R first · Mahnert A · Shinde T · Kumpitsch C · Weinberger V · Schmidt H · Moissl-Eichinger C last · Tng TJW first · Vanan S · Tan EK · Zeng L · Goh WWB · Wong SH · Lim KL last
Downloads
PRJNA553191.csv.gz (2.6 KB) · parquet (72.5 KB) — all 62 samples, every field with route and confidence · PRJNA553191_determinations.csv.gz (4.5 KB) — 608 evidence rows