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PRJEB41463 ERP125243

Gut microbiome, asparaginase activity, pediatric ALL, Canada

Examining the gut microbial community and genes in children with acute lymphoblastic leukemia that experience different levels of change in serum asparaginase activity during pegaspargase treatment

14 stool samples from children with acute lymphoblastic leukemia in Canada, studied longitudinally during pegaspargase drug therapy to compare gut microbial communities between doses with decreased versus increased serum asparaginase activity. machine-written summary

14 samples · 14 runs · CA · Child · 2020 · 0.38 Gbp / sample · cohort Antibiotic and antifungal use in pediatric leukemi

Sources
✓Sequence archive 70○Abstract / description○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 archive70 sample values (collection date, country, health condition, health condition detail, subject id)
○ Abstract / descriptionread; no usable statement
○ Full textread; no usable statement or table · PMC10269646
○ 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 not resolved

Non-antibiotic pharmaceutical given as the study intervention (metformin design observational_with_procedure · population other_cancer · Pegaspargase (pegylated asparaginase) chemotherapy in pediatric ALL

“during pegaspargase treatment” — study.title (study level; per-sample arms are in the intervention column below)

Samples at a glance
1 country
Age
child14
Condition
other_cancer14
Country
CA14
Body site
primary14
Collected 2017–2018
2017: 8 samples2018: 6 samples20172018
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: 6 samplesall projects, 0.3–1 Gbp: 47,044 samples (8 %)this project, 0.3–1 Gbp: 5 samplesall projects, 1–3 Gbp: 124,983 samples (22 %)this project, 1–3 Gbp: 2 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 0.38 Gbp per sample0130Gbp
Sampling design and relatedness

longitudinal — not resolved

3 of 11 people sampled more than once (6 samples; median 2, up to 2 per person). Schedule stated by the source: “Samples taken at consecutive pegaspargase doses during treatment; no explicit day offsets given.” (time origin: treatment start).

How longitudinal and relatedness information is derived

Community composition
Bacteroides 11.7%Faecalibacterium 8.3%Escherichia 5.6%Streptococcus 4.7%Mediterraneibacter 4.6%Phocaeicola 3.9%Thomasclavelia 3.6%Bifidobacterium 3.5%Ruthenibacterium 3.5%Roseburia 3.1%Fimenecus 3.0%Blautia_A 2.9%not assigned to a genus 14.4%other genera 27.3%

Genera, mean relative abundance over 11 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category14 100%
country14 100%14
health_condition14 100%14
subject_id14 100%14
collection_date14 100%14
health_condition_detail14 100%14
Papers (3)
  • Antibiotic and antifungal use in pediatric leukemia and lymphoma patients are associated with increasing opportunistic pathogens and decreasing bacteria responsible for activities that enhance colonic defense. 2022 PMID 35967843 PMC9363618 unsure
  • The gastrointestinal antibiotic resistome in pediatric leukemia and lymphoma patients. 2023 PMID 36909730 PMC9998685 unsure
  • Exploring Molecular Interactions between Human Milk Hormone Insulin and Bifidobacteria. 2023 PMID 37191543 PMC10269646 unsure
Details
Archive description

Asparaginase is an effective treatment of pediatric acute lymphoblastic leukemia (ALL). Changes in asparaginase activity may lead to suboptimal treatment and poorer outcomes. The gut microbiome produces metabolites that could impact asparaginase therapy, however remains uninvestigated. We examined gut-microbial community and microbial-asparaginase and asparagine synthetase genes using 16SrRNA and metagenomic sequence data from stool samples of pediatric ALL patients. Comparing ASNase activity between consecutive asparaginase-doses we found microbial communities differed between decreased- and increased-activity samples.

How this project entered the registry

Classified as human gut / stool / blood / tissue / internal fluids shotgun DNA metagenome of child by deterministic_rule with confidence 0.85. Assay shotgun_dna.

  • host run.scientific_name · “human gut metagenome”
  • host study.title · “and genes in child ren with acute”
  • body site study.title · “Examining the gut microbial community and”
  • body site study.description · “poorer outcomes. The gut microbiome produces metabolites”
  • body site study.title · “of change in serum asparaginase activity during”
  • life stage study.title · “and genes in children with acute lymphoblastic”
  • life stage study.description · “effective treatment of pediatric acute lymphoblastic leukemia”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMEA7608576collection_date2018R10.90biosample.attribute:collection_date2018
SAMEA7608576countryCAR10.90sample.attr.geographic_location_country_and_or_seaCanada
SAMEA7608576health_conditionother_cancerR10.85biosample_attracute lymphoblastic leukemia
SAMEA7608576health_condition_detailacute lymphoblastic leukemiaR10.90sample.attr.host_disease_statusacute lymphoblastic leukemia
SAMEA7608576subject_id1R10.70biosample.name_rule:aliasSD1_P1-mgs
Sequencing

14 runs over 14 samples · mean 0.55 Gbp per run (median 0.38 Gbp, total 7.76 Gbp; 14 runs with a base count) · layout SINGLE 14 · platform ILLUMINA 14 · models NextSeq 550 (14) · 79% of runs with a Sandpiper profile · first public 2020-12-01

Authors (22)

Dunn KA first · MacDonald T · Rodrigues GJ · Forbrigger Z · Bielawski JP · Langille MGI · Van Limbergen J · Kulkarni K last · MacDonald J · Van Limbergen JE · Rizzo SM first · Alessandri G · Lugli GA · Fontana F · Tarracchini C · Mancabelli L · Viappiani A · Bianchi MG · Bussolati O · van Sinderen D · Ventura M · Turroni F last

Downloads

PRJEB41463.csv.gz (1.2 KB) · parquet (69.6 KB) — all 14 samples, every field with route and confidence · PRJEB41463_determinations.csv.gz (1.1 KB) — 70 evidence rows

Samples (14 · every field this project has values for · hover a cell for its source)
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