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PRJEB50761 ERP135364

Gut microbiome-metabolome and bone density, China

Integration of the human gut microbiome and serum metabolome reveals novel biological factors involved in the regulation of bone mineral density

496 samples from pe machine-written summary

496 samples · 497 runs · CN · Adult · 2022 · 7.02 Gbp / sample

Sources
✓Sequence archive 3,968○Abstract / description✓Full text 1,488○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 archive3,968 sample values (collection date, country, health condition, health condition detail, latitude, location region, longitude, sex)
○ Abstract / descriptionread; no usable statement
✓ Full text1,488 sample values (antibiotic exposure, location site, subject id) · PMC8966780, PMC9425034
○ 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 sampling locations · 1 country
Age
adult496
Condition
healthy_control496
Sex
female496
Country
CN496
Body site
primary496
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 %)all projects, 1–3 Gbp: 124,983 samples (22 %)all projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 473 samplesall projects, 10–30 Gbp: 72,533 samples (13 %)this project, 10–30 Gbp: 23 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 7.02 Gbp per sample0130Gbp
Community composition
Phocaeicola 17.7%Bacteroides 15.7%Prevotella 8.6%Lachnospira 5.7%Faecalibacterium 5.2%Roseburia 3.5%Alistipes 2.8%Megamonas 2.0%Acetatifactor 1.8%Parabacteroides 1.4%Enterocloster 1.3%Ruminococcoides 1.2%not assigned to a genus 3.8%other genera 29.4%

Genera, mean relative abundance over 449 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category496 100%
country496 100%496
health_condition496 100%496
subject_id496 100%496
antibiotic_exposure496 100%496
collection_date496 100%496
detailed_location496 100%
health_condition_detail496 100%496
latitude496 100%496
location_region496 100%496
location_site496 100%496
longitude496 100%496
sex496 100%496
Papers (2)
  • Integration of the Human Gut Microbiome and Serum Metabolome Reveals Novel Biological Factors Involved in the Regulation of Bone Mineral Density. 2022 PMID 35372129 PMC8966780 own_data
  • Metagenomic study of the gut microbiota associated with cow milk consumption in Chinese peri-/postmenopausal women. 2022 PMID 36051762 PMC9425034 own_data
Details
Archive description

While the gut microbiome has been reported to play a role in bone metabolism, the individual species and underlying functional mechanisms have not yet been characterized. We conducted a systematic multi-omics analysis using paired metagenomic and untargeted serum metabolomic profiles from a large sample of 499 peri- and early post-menopausal women to identify the potential crosstalk between these biological factors which may be involved in the regulation of bone mineral density (BMD). Single omics association analyses identified 22 bacteria species and 17 serum metabolites for putative association with BMD. Among the identified bacteria, Bacteroidetes and Fusobacteria were negatively associated, while Firmicutes were positively associated. Several of the identified serum metabolites including 3-phenylpropanoic acid, mainly derived from dietary polyphenols, and glycolithocholic acid, a secondary bile acid, are metabolic byproducts of the microbiota. We further conducted a supervised integrative feature selection with respect to BMD and constructed the inter-omics partial correlation network. Although still requiring replication and validation in future studies, the findings from this exploratory analysis provide novel insights into the interrelationships between the gut microbiome and serum metabolome that may potentially play a role in skeletal remodeling processes.

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of adult by sonnet_x2 with confidence 0.70. Assay shotgun_dna.

  • host run.scientific_name · “human gut metagenome”
  • body site study.description · “paired metagenomic and untargeted serum metabolomic profiles”
  • life stage study.description · “peri- and early post-menopausal women”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMEA12907953antibiotic_exposurenoR30.70paper.fulltext.methodstaken antibiotics or estrogens within three months of enrollment
SAMEA12907953collection_date2017R10.90biosample.attribute:collection_date2017
SAMEA12907953countryCNR10.90sample.attr.geographic_location_country_and_or_seaChina
SAMEA12907953health_conditionhealthy_controlR10.85biosample.attribute:DESCRIPTIONgut metagenome from healthy menopausal Chinese woman
SAMEA12907953health_condition_detailgut metagenome from healthy menopausal Chinese womanR10.85biosample.attribute:DESCRIPTIONgut metagenome from healthy menopausal Chinese woman
SAMEA12907953latitude23.1291R10.90biosample.attribute:geographic_location_latitude+geographic_location_longitude23.1291 113.2644
SAMEA12907953location_regionGuangdongR10.60biosample.attribute:geographic_location_latitude+geographic_location_longitude23.1291 113.2644
SAMEA12907953location_siteThird Affiliated Hospital of Southern Medical UniversityR30.70paper.fulltext.methodsThird Affiliated Hospital of Southern Medical University
SAMEA12907953longitude113.2644R10.90biosample.attribute:geographic_location_latitude+geographic_location_longitude23.1291 113.2644
SAMEA12907953sexfemaleR10.85biosample.attribute:DESCRIPTIONgut metagenome from healthy menopausal Chinese woman
SAMEA12907953subject_idSAMEA12907953R30.75design.one_sample_per_subject:fulltextEach subject provided stool and blood samples for metagenomic and metabolomics analyses, respectively.
Sequencing

497 runs over 496 samples · mean 7.36 Gbp per run (median 7.02 Gbp, total 3,656.32 Gbp; 497 runs with a base count) · layout PAIRED 497 · platform ILLUMINA 497 · models Illumina HiSeq 4000 (497) · 91% of runs with a Sandpiper profile · first public 2022-03-03

Authors (21)

Greenbaum J first · Lin X · Su KJ · Gong R · Shen H · Shen J · Xiao HM · Deng HW last · Tian B first · Yao JH · Lv WQ · Jiang LD · Wang ZQ · Xu H · Xu LL · Cheng X · Qiu C · Luo Z · Zhao LJ · Yan Q · Zhang LS last

Downloads

PRJEB50761.csv.gz (14.0 KB) · parquet (92.0 KB) — all 496 samples, every field with route and confidence · PRJEB50761_determinations.csv.gz (31.9 KB) — 5,456 evidence rows

Samples (496 · every field this project has values for · hover a cell for its source)
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