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PRJNA973824 SRP438543

Gut microbiome in aging adults and elderly, Kazakhstan

Immunoregulatory role of gut microbiome and mycobiome in aging

Cross-sectional study of 55 gut microbiome samples from Kazakhstan, comparing adult (n=31) and elderly (n=24) age groups to examine gut microbiota changes associated with aging and longevity. machine-written summary

55 samples · 55 runs · KZ · Adult · 2024 · 5.15 Gbp / sample

Sources
✓Sequence archive 353✓Abstract / description 55○Full text○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 archive353 sample values (age, bmi, collection date, country, latitude, location region, longitude)
✓ Abstract / description55 sample values (antibiotic exposure)
○ Full textread; no usable statement or table · PMC11008724, PMC12095471
○ Supplementary tablesfiles read; no table could be matched to the samples
– External resourcesnot covered by the external resources we ingest
– User contributionnothing uploaded yet · share metadata
– Human verifiednot yet checked by a person · I checked this project — verify it
Samples at a glance
1 sampling locations · 1 country
Age
adult31
elderly24
Country
KZ55
Body site
primary55
Collected 2014–2021
2014: 7 samples2015: 16 samples2019: 8 samples2021: 24 samples20142021
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: 10 samplesall projects, 1–3 Gbp: 124,983 samples (22 %)this project, 1–3 Gbp: 13 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 30 samplesall projects, 10–30 Gbp: 72,533 samples (13 %)this project, 10–30 Gbp: 2 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 5.15 Gbp per sample0130Gbp
Community composition
Prevotella 11.7%Bacteroides 5.5%Escherichia 4.6%Alistipes 3.6%Phocaeicola 3.4%Vescimonas 3.2%Faecalibacterium 3.1%Akkermansia 2.8%Cryptobacteroides 2.5%Ruminococcoides 2.4%Roseburia 2.3%CAG-170 1.9%not assigned to a genus 7.3%other genera 45.8%

Genera, mean relative abundance over 39 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category55 100%
country55 100%55
health_condition0 0%
subject_id0 0%
age_at_collection_days55 100%55
antibiotic_exposure55 100%55
bmi55 100%55
collection_date55 100%55
latitude55 100%55
longitude55 100%55
detailed_location23 42%
location_region23 42%23
Papers (3)
Details
Archive description

In healthy aging, centenarians are a successful model, exhibiting relatively low rates of various diseases and improved long-term health compared to older people. In the aging process, variation in the gut microbiome plays a key role, which is facilitated by the diet, genetics and lifestyle of older people. In this regard, the study of the gut microbiome / mycobiome of long-lived people may lead to an understanding of how, with increasing longevity, the gut microbiota adapts to changes and contributes to the maintenance of metabolic and immunological homeostasis of the body, as well as supports quality aging and increases the survival of the body.

How this project entered the registry

Classified as human gut / stool 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 · “Immunoregulatory role of gut microbiome and mycobiome”
  • body site study.description · “variation in the gut microbiome plays a”
  • life stage external_curation.infant_catalog · “infant triage reason_code age_adult_only”
  • life stage study.description · “In healthy aging, centenarians are a successful”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN35151998age_at_collection_days35756.7R10.85sample.attr.host_age98
SAMN35151998antibiotic_exposurenoR40.50paper.abstracthad not taken any antimicrobials, including probiotics
SAMN35151998bmi24.4R10.90sample.attr.host_body_mass_index24.4
SAMN35151998collection_date2021-06-09R10.90biosample.attribute:collection_date2021-06-09
SAMN35151998countryKZR10.90sample.attr.geo_loc_nameKazakhstan
SAMN35151998latitude51.1000R10.90biosample.attribute:lat_lon51.10 N 71.26 E
SAMN35152044location_regionAstana QalasyR10.60biosample.attribute:lat_lon51.1605 N 71.4704 E
SAMN35151998longitude71.2600R10.90biosample.attribute:lat_lon51.10 N 71.26 E
Sequencing

55 runs over 55 samples · mean 4.75 Gbp per run (median 5.15 Gbp, total 261.34 Gbp; 55 runs with a base count) · layout PAIRED 55 · platform ILLUMINA 55 · models Illumina NovaSeq 6000 (55) · 71% of runs with a Sandpiper profile · first public 2024-06-04

Authors (23)

Chulenbayeva L first · Ganzhula Y · Kozhakhmetov S · Jarmukhanov Z · Nurgaziyev M · Nurgozhina A · Muhanbetzhanov N · Sergazy S · Zhetkenev S · Borykbay Z · Tkachev V · Urazova S · Vinogradova E · Kushugulova A last · Mukhanbetzhanov N · Khassenbekova D · Tng TJW first · Vanan S · Tan EK · Zeng L · Goh WWB · Wong SH · Lim KL last

Help complete this project

2 of the 4 core fields are below 50% coverage: health_condition, subject_id. Share metadata

Downloads

PRJNA973824.csv.gz (2.7 KB) · parquet (72.6 KB) — all 55 samples, every field with route and confidence · PRJNA973824_determinations.csv.gz (3.8 KB) — 408 evidence rows

Samples (55 · every field this project has values for · hover a cell for its source)
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