Home › Studies › PRJNA530252
PRJNA530252 SRP190067

Inhaled tobramycin effect on CF sputum microbiome

Effect of cycled, inhaled tobramycin on the sputum microbiome in cystic fibrosis

157 sputum samples from people with cystic fibrosis, collected before, during, and after a month-long course of inhaled tobramycin antibiotic therapy, to study treatment effects on the microbiome. machine-written summary

157 samples · 157 runs · US · Age unknown · 2020 · 1.01 Gbp / sample

Sources
✓Sequence archive 305○Abstract / description✓Full text 628○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 archive305 sample values (subject id, timepoint)
○ Abstract / descriptionread; no usable statement
✓ Full text628 sample values (antibiotic exposure, country, health condition, health condition detail) · PMC7875198
○ 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

Antibiotic given as the study intervention (incl. eradication therapy design single_arm_before_after · population other_disease · Cycled inhaled tobramycin, one-month maintenance course

“cycled, inhaled tobramycin” — study.title (study level; per-sample arms are in the intervention column below)

Samples at a glance
1 country
Age
unknown157
Condition
other_disease157
Country
US157
Body site
primary157
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 %)this project, 0.1–0.3 Gbp: 11 samplesall projects, 0.3–1 Gbp: 47,044 samples (8 %)this project, 0.3–1 Gbp: 66 samplesall projects, 1–3 Gbp: 124,983 samples (22 %)this project, 1–3 Gbp: 79 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 1 samplesall 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 1.01 Gbp per sample0130Gbp
Sampling design and relatedness

longitudinal — not resolved

29 of 29 people sampled more than once (150 samples; median 5, up to 7 per person). Schedule stated by the source: “Sputum collected before, weekly during, and after a standard one-month course of inhaled tobramycin; timepoints labeled S0-S5, S32” (time origin: treatment_start).

How longitudinal and relatedness information is derived

Community composition
Streptococcus 35.3%Rothia 16.0%Staphylococcus 11.6%Pseudomonas 5.3%Prevotella 4.7%Porphyromonas 2.3%Bulleidia 1.8%Pauljensenia 1.5%Stenotrophomonas 1.4%Actinomyces 1.2%Achromobacter 1.1%Lancefieldella 0.9%not assigned to a genus 6.2%other genera 10.7%

Genera, mean relative abundance over 145 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category0 0%
country157 100%157
health_condition157 100%157
subject_id150 96%150
antibiotic_exposure157 100%157
health_condition_detail157 100%157
timepoint_label155 99%155
Papers (1)
  • Maintenance tobramycin primarily affects untargeted bacteria in the CF sputum microbiome. 2020 PMID 32631930 PMC7875198 own_data
Details
Archive description

Lung disease in the genetic disease cystic fibrosis (CF) is characterized by chronic, polymicrobial respiratory infections. Antibiotics are a cornerstone of CF lung disease treatment, however, the microbial determinants of response to antibiotics remain poorly understood. The microbiota in CF respiratory specimens are known to be relatively stable over time, even during antibiotic therapy, but less is known about how the metagenome (the predicted functional capacity of the microbiota) changes with antibiotic therapy. The commonly-used antibiotic inhaled tobramycin is known to reduce sputum densities of Pseudomonas aeruginosa and to improve lung disease measures on average in treatment-naïve patients. However, studies have failed to demonstrate a consistent relationship between changes in sputum P. aeruginosa densities and clinical outcomes. We collected CF sputum from 30 individuals with CF before, weekly during and after a standard one-month course of tobramycin, with concomitant lung function measurements and symptom scores collected from all participants. The aim of this study is compare the sputum microbiota and metagenome to clinical outcomes to identify microbial features associated with differential response to tobramycin therapy.

How this project entered the registry

Classified as human lower respiratory / gut / stool shotgun DNA metagenome of age unknown by sonnet_x2 with confidence 0.82. Assay shotgun_dna.

  • host run.scientific_name · “human lung metagenome”
  • body site run.scientific_name · “human lung metagenome”
  • body site sample.attr.environment_biome · “human gut (n=157/157)”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN11310208antibiotic_exposurenoR30.60paper.fulltext.resultsno antibiotics other than maintenance azithromycin for ≥1 month
SAMN11310208countryUSR30.70paper.fulltext.methodsUniversity of Washington Medical Center, Seattle Children
SAMN11310208health_conditionother_diseaseR30.70paper.fulltext.methods30 PWCF at three clinical sites
SAMN11310208health_condition_detailCystic fibrosis (PWCF) with chronic P. aeruginosa lung infectionR30.60paper.fulltext.methods30 PWCF at three clinical sites
SAMN11310208subject_idN101R10.70sample.name_rule:library_namesN101S0
SAMN11310208timepoint_labelS0R10.70sample.name_rule:library_namesN101S0
Sequencing

157 runs over 157 samples · mean 1.11 Gbp per run (median 1.01 Gbp, total 173.51 Gbp; 157 runs with a base count) · layout PAIRED 157 · platform ILLUMINA 157 · models Illumina HiSeq 2500 (157) · 92% of runs with a Sandpiper profile · first public 2020-04-14

Authors (19)

Nelson MT first · Wolter DJ · Eng A · Weiss EJ · Vo AT · Brittnacher MJ · Hayden HS · Ravishankar S · Bautista G · Ratjen A · Blackledge M · McNamara S · Nay L · Majors C · Miller SI · Borenstein E · Simon RH · LiPuma JJ · Hoffman LR last

Downloads

PRJNA530252.csv.gz (4.5 KB) · parquet (75.1 KB) — all 157 samples, every field with route and confidence · PRJNA530252_determinations.csv.gz (6.5 KB) — 933 evidence rows

Samples (157 · every field this project has values for · hover a cell for its source)
Loading the sample table…