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PRJEB3085 ERP001506

Gut microbiota multi-omics during β-lactam therapy, Germany

Disturbance of the gut microbiota during antibiotic stress (therapy): a multi-omic approach

Longitudinal multi-omic study of 6 faecal samples from an elderly individual in Germany, tracking gut microbiota, metatranscriptome, metaproteome, and metabolome changes across a 14-day β-lactam antibiotic therapy. machine-written summary

6 samples · 6 runs · DE · Adult · 2013 · 0 / sample

Sources
✓Sequence archive 78○Abstract / description✓Full text 6○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 archive78 sample values (age, antibiotic exposure, collection date, country, health condition, health condition detail, intervention, intervention detail)
○ Abstract / descriptionread; no usable statement
✓ Full text6 sample values (location locality) · PMC3812899
○ 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 resolved

antibioticantibiotic6 samples
single arm: samples on the intervention (no pre-intervention samples labelled)

design single_arm_before_after

Samples at a glance
1 sampling locations · 1 country
Age
elderly6
Condition
healthy_control6
Sex
male6
Country
DE6
Body site
primary6
Sampling design and relatedness

longitudinal

1 of 1 people sampled more than once (6 samples; median 6, up to 6 per person) · follow-up median 40 d (max 40 d) · median interval between samples 3 d (time from timepoint numbers, unit from the stated sampling schedule). Schedule stated by the source: “stool at days 0, 3, 6, 11, 14, and 40 of antibiotic treatment” (time origin: intervention_start); stated follow-up 40 d.

P-3P-3: day 0P-3: day 3P-3: day 6P-3: day 11P-3: day 14P-3: day 400 d10 d20 d30 d40 d

Each row is one person (1 shown); dots are samples at days since that person's first sample.

How longitudinal and relatedness information is derived

Community composition

No Sandpiper profile for this project's samples yet.

Field coverage
fieldsamplescoverageR1R2R3R4
age_category6 100%
country6 100%6
health_condition6 100%6
subject_id6 100%6
age_at_collection_days6 100%6
antibiotic_exposure6 100%6
collection_date6 100%6
detailed_location6 100%
health_condition_detail6 100%6
intervention6 100%6
intervention_detail6 100%6
latitude6 100%6
location_locality6 100%6
longitude6 100%6
sex6 100%6
timepoint_label6 100%6
Papers (2)
  • Gut microbiota disturbance during antibiotic therapy: a multi-omic approach. 2013 PMID 23236009 PMC3812899 own_data
  • Structural and functional changes in the gut microbiota associated to Clostridium difficile infection. 2014 PMID 25309515 PMC4163665 unsure
Details
Archive description

Recent research has disclosed a tight connection between beta-lactam antibiotics, microbial gut metabolism and health but obtaining a complete understanding of this process remains a major goal. Here, we conducted, to the best of our knowledge, the first global comparative OMIC investigation of gut microbial communities in samples of an individual subjected to β-lactam antibiotic therapy at different time frames. Results indicated a drastic change of the total community at response to AB at the day 11thwhich correlated with changes at the level of metabolites, mRNA transcripts and production of proteins. By contrast, AB-resistant active microbiota remains constant, showing a relevant decrease three days later, which indicate an AB time-delay between total and active bacteria. Forty days after AB therapy, the total community is restored but, surprisingly, the low abundant bacteria (Proteobacteria) become the most active members. This is in agreement with unique metabolomic signatures which indicate that human-gut microbe interactions seem to be restored (or improved) as a consequence of AB therapy. It is worth to mention that as a consequence of AB a drastic under-expression of protein production and an attenuation of the metabolic status occurred irreversibly, in agreement with the biodiversity and richness decreased of the total microbiota. Most likely, at the initial stages, AB-resistant bacteria may become, albeit at lower numbers, the most active bacterial members, but their consequent instability as response to AB therapy produced a re-establishment of the overall community containing new active members that has a connection with the host. A complete reprogramming of the bacterial structure and metabolic status seems to occur most likely at day 11th. Taken together, this study suggests a tighter, more coordinated and complex evolutionary and AB ecology scenario of human gut microbial communities than has been previously assumed.

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of adult and elderly by sonnet_x2 with confidence 0.62. Assay shotgun_dna.

  • host run.host_tax_id · “9606”
  • host study.description · “human-gut microbe interactions seem to be restored”
  • body site study.title · “Disturbance of the gut microbiota”
  • life stage study.description · “an individual subjected to β-lactam antibiotic therapy”
  • life stage sample.attr.age · “68 (n=6/6)”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMEA2178383age_at_collection_days24837.0R10.70sample.attr.age68
SAMEA2178383antibiotic_exposureyesR10.95biosample_attrampicillin/sulbactam (2x750 mg/day) cephalosporin (3x2g/day)
SAMEA2178383collection_date2009-11R10.90biosample.attribute:collection_dateNovember, 2009
SAMEA2178383countryDER10.90sample.attr.geographic_location_country_region_areaGermany
SAMEA2178383health_conditionhealthy_controlR10.90biosample_attrhealthy
SAMEA2178383health_condition_detailhealthyR10.90sample.attr.disease_statushealthy
SAMEA2178383interventionantibioticR10.90biosample.attribute:antibiotic regimenantibiotic regimen: ampicillin/sulbactam (2x750 mg/day) cephalosporin (3x2g/day)
SAMEA2178383intervention_detailampicillin/sulbactam 750mg 2x/day then cephalosporin 2g 3x/dayR10.90biosample.attribute:antibiotic regimenantibiotic regimen: ampicillin/sulbactam (2x750 mg/day) cephalosporin (3x2g/day)
SAMEA2178383latitude52.5160R10.90biosample.attribute:geographic_location_latitude+geographic_location_longitude52.516 13.4
SAMEA2178383location_localityKielR30.70paper.fulltext.methodsUniversity Hospital Kiel (Germany)
SAMEA2178383longitude13.4000R10.90biosample.attribute:geographic_location_latitude+geographic_location_longitude52.516 13.4
SAMEA2178383sexmaleR10.90sample.attr.sexmale
SAMEA2178383subject_idP-3R10.85biosample.attribute:host_subject_idP-3
SAMEA2178383timepoint_label11R10.70sample.name_rule:titleDay 11 Of Antibiotic Treatment Human Gut Metagenome
Sequencing

6 runs over 6 samples · mean 0 per run (median 0, total 0; 6 runs with a base count) · layout SINGLE 6 · platform LS454 6 · models 454 GS FLX Titanium (6) · 0% of runs with a Sandpiper profile · first public 2013-08-16

Authors (20)

Pérez-Cobas AE first · Gosalbes MJ · Friedrichs A · Knecht H · Artacho A · Eismann K · Otto W · Rojo D · Bargiela R · von Bergen M · Neulinger SC · Däumer C · Heinsen FA · Latorre A · Barbas C · Seifert J · dos Santos VM · Ott SJ · Ferrer M · Moya A last

Downloads

PRJEB3085.csv.gz (1.0 KB) · parquet (71.3 KB) — all 6 samples, every field with route and confidence · PRJEB3085_determinations.csv.gz (1.6 KB) — 84 evidence rows

Samples (6 · every field this project has values for · hover a cell for its source)
Loading the sample table…