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PRJNA813705 SRP363002

Gut microbiota in AML patients vs controls, Belgium

Evaluation of gut microbiota composition in patients with acute myeloid leukemia

60 fecal samples from a case-control study in Belgium, comparing gut microbiota composition and function between untreated acute myeloid leukemia patients at diagnosis and matched healthy volunteers. machine-written summary

60 samples · 60 runs · BE · Adult · 2024 · 20.25 Gbp / sample

One study deposited as 2 BioProjects (80 catalog samples together): PRJNA813705 · PRJNA875377 · show together

Sources
✓Sequence archive 450✓Abstract / description 60✓Full text 30○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 archive450 sample values (antibiotic exposure, collection date, country, health condition, health condition detail, latitude, location region, longitude)
✓ Abstract / description60 sample values (subject id)
✓ Full text30 sample values (antibiotic exposure) · PMC11443375
○ 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
adult60
Condition
healthy_control30
other_cancer30
Country
BE60
Body site
primary60
Collected 2015–2020
2015: 1 samples2016: 8 samples2017: 11 samples2018: 24 samples2019: 11 samples2020: 5 samples20152020
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 %)all projects, 10–30 Gbp: 72,533 samples (13 %)this project, 10–30 Gbp: 60 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 20.25 Gbp per sample0130Gbp
Community composition
Faecalibacterium 6.0%Bacteroides 5.9%Phocaeicola 4.9%Prevotella 4.8%Roseburia 4.5%Alistipes 4.5%Blautia_A 3.7%Ruminococcoides 3.0%Bifidobacterium 2.0%Collinsella 1.9%Gemmiger 1.9%Vescimonas 1.8%not assigned to a genus 3.1%other genera 52.2%

Genera, mean relative abundance over 56 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category60 100%
country60 100%60
health_condition60 100%60
subject_id60 100%60
antibiotic_exposure60 100%3030
collection_date60 100%60
detailed_location60 100%
health_condition_detail60 100%60
latitude60 100%60
location_region60 100%60
longitude60 100%60
Papers (1)
  • Gut microbiome alterations at acute myeloid leukemia diagnosis are associated with muscle weakness and anorexia. 2024 PMID 38546675 PMC11443375 own_data
Details
Archive description

Evaluation of gut microbiota composition and functional potential in patients with acute myeloid leukemia at diagnostic and comparison to healthy matched volunteers. MicroAML clinical study. Study design available on ClinicalTrials.gov (NCT03881826). Data published and discussed in Potgens et al, Haematologica 2024. 16S and metagenomics raw data are shared.

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 · “Evaluation of gut microbiota composition in”
  • body site study.description · “Evaluation of gut microbiota composition and”
  • life stage external_curation.infant_catalog · “infant triage reason_code age_adult_only”
  • life stage study.description · “to healthy matched volunteers . MicroAML clinical”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN26515440antibiotic_exposurenoR10.85biosample.attribute:host_diseaseAML
SAMN26515470antibiotic_exposurenoR30.70paper.fulltext.methodsantibiotic consumption within the preceding 30 days
SAMN26515440collection_date2016-04-24R10.90biosample.attribute:collection_date2016-04-24
SAMN26515440countryBER10.90sample.attr.geo_loc_nameBelgium
SAMN26515440health_conditionother_cancerR10.85biosample_attrAML
SAMN26515470health_conditionhealthy_controlR10.85biosample.attribute:host_diseaseCT
SAMN26515440health_condition_detailAMLR10.90sample.attr.host_diseaseAML
SAMN26515440latitude50.8500R10.90biosample.attribute:lat_lon50.85 N 4.46 E
SAMN26515440location_regionFlandersR10.60biosample.attribute:lat_lon50.85 N 4.46 E
SAMN26515440longitude4.4600R10.90biosample.attribute:lat_lon50.85 N 4.46 E
SAMN26515440subject_idSAMN26515440R40.65design.one_sample_per_subject:abstractcollected from 30 antibiotic- free AML patients at diagnosis and matched volunteers (1:1) in a multicenter, cross-sectional, prospective study
Sequencing

60 runs over 60 samples · mean 19.96 Gbp per run (median 20.25 Gbp, total 1,197.89 Gbp; 60 runs with a base count) · layout PAIRED 60 · platform ILLUMINA 60 · models Illumina NovaSeq 6000 (60) · 93% of runs with a Sandpiper profile · first public 2024-04-28

Authors (15)

Pötgens SA first · Havelange V · Lecop S · Li F · Neyrinck AM · Bindels F · Neveux N · Demoulin JB · Moors I · Kerre T · Maertens J · Walter J · Schoemans H · Delzenne NM · Bindels LB last

Downloads

PRJNA813705.csv.gz (2.7 KB) · parquet (72.8 KB) — all 60 samples, every field with route and confidence · PRJNA813705_determinations.csv.gz (4.6 KB) — 540 evidence rows

Samples (60 · every field this project has values for · hover a cell for its source)
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