Preterm infant gut microbiota, antibiotic effects
403 fecal samples from preterm NICU infants in Saint Louis, MO, studied longitudinally to assess how specific antibiotics alter gut microbiota development and resistance gene profiles. machine-written summary
403 samples · 982 runs · US · Infant / toddler · 2016 · 0.85 Gbp / sample
Checked this project's papers and archive records yourself? Mark it human-verified.
what each source gave
| ✓ Sequence archive | 2,468 sample values (age, birth weight grams, collection date, country, sex, subject id, timepoint) |
| ○ Abstract / description | read; no usable statement |
| ✓ Full text | 4 sample values (preterm status) · PMC10175488, PMC10904392, PMC11170968, PMC11322291, PMC12677589, PMC13402684, PMC13490558, PMC8284144, PMC8827105, PMC9437082, PMC9445129, PMC9837561 |
| ✓ Supplementary tables | 3,035 sample values (antibiotic exposure, delivery mode, diet, gestational age weeks, health condition, maternal antibiotics, nec status, preterm status) |
| ✓ External resources | 401 sample values (health condition detail) · from GMrepo v3 |
| – User contribution | nothing uploaded yet |
| – Human verified | not yet checked by a person · I checked this project — verify it |
longitudinal
78 of 84 people sampled more than once (397 samples; median 5, up to 16 per person) · follow-up median 16 d (max 4 mo) · median interval between samples 3 d (time from age at collection). Schedule stated by the source: “Fecal samples collected longitudinally across days of life (timepoint labels D1-D8, host_day_of_life values), varying per infant.”.
Each row is one person (36 shown of 78); dots are samples at days since that person's first sample.
Genera, mean relative abundance over 353 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).
| field | samples | coverage | R1 | R2 | R3 | R4 |
|---|---|---|---|---|---|---|
| age_category | 403 | 100% | ||||
| country | 403 | 100% | 403 | |||
| health_condition | 403 | 100% | 403 | |||
| subject_id | 403 | 100% | 403 | |||
| birth_weight_grams | 403 | 100% | 403 | |||
| collection_date | 403 | 100% | 403 | |||
| preterm_status | 403 | 100% | 399 | 4 | ||
| sex | 403 | 100% | 403 | |||
| delivery_mode | 402 | 100% | 402 | |||
| gestational_age_weeks | 402 | 100% | 402 | |||
| age_at_collection_days | 401 | 100% | 401 | |||
| antibiotic_exposure | 401 | 100% | 401 | |||
| health_condition_detail | 401 | 100% | 401 | |||
| diet | 369 | 92% | 369 | |||
| nec_status | 369 | 92% | 369 | |||
| maternal_antibiotics | 290 | 72% | 290 | |||
| timepoint_label | 52 | 13% | 52 |
- Antibiotic-driven intestinal dysbiosis in pediatric short bowel syndrome is associated with persistently altered microbiome functions and gut-derived bloodstream infections. PMID 34264786 PMC8284144 curated
- Early-life formula feeding is associated with infant gut microbiota alterations and an increased antibiotic resistance load. PMID 34677583 PMC8827105 curated
- A compendium of 32,277 metagenome-assembled genomes and over 80 million genes from the early-life human gut microbiome. PMID 36050292 PMC9437082 curated
- Metabolic model of necrotizing enterocolitis in the premature newborn gut resulting from enteric dysbiosis. PMID 36081629 PMC9445129 curated
- A novel approach for combining the metagenome, metaresistome, metareplicome and causal inference to determine the microbes and their antibiotic resistance gene repertoire that contribute to dysbiosis. PMID 36748547 PMC9837561 curated
7 more
- Comprehensive insights from composition to functional microbe-based biodiversity of the infant human gut microbiota. PMID 37169786 PMC10175488
- A metagenomic catalog of the early-life human gut virome. PMID 38424077 PMC10904392
- Infant age inversely correlates with gut carriage of resistance genes, reflecting modifications in microbial carbohydrate metabolism during early life. PMID 38882494 PMC11170968
- Insights into the ecology of the infant gut plasmidome. PMID 39138199 PMC11322291
- The Gut Resistome Atlas in Preterm Infants Enables Prediction of Necrotizing Enterocolitis Onset. PMID 41025564 PMC12677589
- An ubiquitous antibacterial toxin from human gut bacteria engenders neonatal colonization advantage. PMID 42259839 PMC13402684
- Global analysis of infant gut microbiota revealed distinctive maturation dynamics across lifestyles. PMID 42618579 PMC13490558
Archive description
Dysbiotic colonization of the preterm infant gut microbiota may have lifelong effects on host health. The normal progression of colonization of preterm infants is a patterned, yet chaotic, process, and thought to be chiefly driven by host factors. While preterm infants almost universally receive early and often repeated and/or prolonged intravenous antibiotic therapy, it remains unclear if and how specific antibiotics alter the developmental progression of the gut microbiota in this population. By analyzing 401 fecal samples from 84 longitudinally-sampled preterm infants, we demonstrate that meropenem, cefotaxime, and ticarcillin-clavulanate significantly reduce species richness during their administration, and significantly enrich or deplete specific bacterial species and antibiotic resistance (AR) genes. In contrast, vancomycin and gentamicin, the antibiotics most commonly administered to preterm infants, have non-uniform effects on species richness. We show this response is predictable with 85% accuracy based on the relative abundance of only two bacterial species and two AR genes before treatment. To more fully investigate the role of the gut-associated resistome in response to specific antibiotics, we performed functional metagenomic selections for resistance to 16 clinically relevant antibiotics from a set of 21 preterm infants’ gut microbiota. Of the 794 AR genes identified, 79% had not previously been classified as providing any resistance phenotype. Combined with deep shotgun sequencing of all 401 fecal samples, we find that multidrug resistant Escherichia, Klebsiella, and Enterobacter species, which are commonly associated with nosocomial infections, dominate the preterm infant gut microbiota. We show that AR genes that are enriched following specific antibiotic treatments are generally unique to the specific treatment and highly correlated (p<0.001) with the abundance of a single species. The most notable exception includes ticarcillin-clavulanate and ampicillin, both of which enrich a large number of overlapping AR genes, and are highly correlated with Klebsiella pneumoniae species in the preterm infant gut microbiota. In addition to AR genes relevant to specific antibiotics likely providing a protective function, we show that all antibiotic treatments also result in widespread collateral microbiome impact through enrichment of AR genes with no known direct activity against the specific antibiotic treatment.
How this project entered the registry
Classified as human gut / stool mixed assays of infant / toddler by sonnet_x2 with confidence 0.78. Assay mixed.
- host run.host_tax_id · “9606”
- body site study.title · “preterm infant gut microbiota”
- life stage study.title · “preterm infant gut microbiota”
- life stage study.description · “84 longitudinally-sampled preterm infants”
Evidence examples (one per field × route)
| sample | field | value | route | conf. | source | quote |
|---|---|---|---|---|---|---|
| SAMN04436590 | age_at_collection_days | 30 | R1 | 0.90 | biosample_attr | 30.5 |
| SAMN04436590 | antibiotic_exposure | yes | R2 | 0.75 | paper.supp.table | antibiotic_treatment=1 |
| SAMN04436590 | birth_weight_grams | 960 | R1 | 0.90 | biosample_attr | 960 |
| SAMN04436590 | collection_date | 2009-10-29 | R1 | 0.85 | biosample.attribute:collection_date | 2009-10-29 |
| SAMN04436590 | country | US | R1 | 0.90 | biosample_attr | USA: Saint Louis, MO |
| SAMN04436590 | delivery_mode | c_section | R2 | 0.75 | paper.supp.table | delivery_mode=c-section |
| SAMN04436590 | diet | other_diet | R2 | 0.85 | paper.supp.Table_3.XLSX[mapping_global.txt!feeding_practice] | SRR3132297 | feeding_practice: mix |
| SAMN04436590 | gestational_age_weeks | 25.0 | R2 | 0.75 | paper.supp.table | gestational_age_week=25 |
| SAMN04436590 | health_condition | preterm_nicu | R2 | 0.70 | paper.supp.table | Pre_term_nec=Preterm |
| SAMN04436590 | health_condition_detail | Premature Birth | R2 | 0.75 | external.gmrepo source | phenotype: Premature Birth |
| SAMN04436590 | maternal_antibiotics | yes | R2 | 0.75 | paper.supp.table | Mat_AB=True |
| SAMN04436590 | nec_status | no | R2 | 0.75 | paper.supp.table | NEC=No |
| SAMN04436590 | preterm_status | preterm | R2 | 0.75 | paper.supp.table | Pre_term_nec=Preterm |
| SAMN04436661 | preterm_status | preterm | R3 | 0.80 | paper.fulltext.methods | premature infant gut microbiome data set |
| SAMN04436590 | sex | female | R1 | 0.90 | biosample_attr | female |
| SAMN04436590 | subject_id | 34.01 | R1 | 0.85 | biosample_attr | 34.01 |
| SAMN04436608 | timepoint_label | D2 | R1 | 0.70 | run.library_name | WGS_paired_1-D2 |
Sequencing
982 runs over 403 samples · mean 0.43 Gbp per run (median 0.10 Gbp, total 423.76 Gbp; 982 runs with a base count) · layout PAIRED 581, SINGLE 401 · platform ILLUMINA 982 · models Illumina HiSeq 2500 (804), NextSeq 500 (178) · 41% of runs with a Sandpiper profile · first public 2016-05-05
Authors (119)
Gibson MK first · Wang B · Ahmadi S · Burnham CA · Tarr PI · Warner BB · Dantas G last · Thänert R first · Thänert A · Ou J · Bajinting A · Burnham CD · Engelstad HJ · Tecos ME · Ndao IM · Hall-Moore C · Rouggly-Nickless C · Carl MA · Rubin DC · Davidson NO · Warner BW last · Pärnänen KMM first · Hultman J · Markkanen M · Satokari R · Rautava S · Lamendella R · Wright J · McLimans CJ · Kelleher SL · Virta MP last · Zeng S first · Patangia D · Almeida A · Zhou Z · Mu D · Paul Ross R · Stanton C · Wang S last · Casaburi G first · Wei J · Kazi S · Liu J · Wang K · Tao GZ · Lin PY · Dunn JCY · Henrick BM · Frese SA · Sylvester KG last · Stebliankin V first · Sazal M · Valdes C · Mathee K · Narasimhan G last · Lugli GA first · Mancabelli L · Milani C · Fontana F · Tarracchini C · Alessandri G · van Sinderen D · Turroni F · Ventura M last · Li S · Ying J · Wang H · Qu Y · Niu X · Xu X first · Feng Q · Zhang T · Gao Y · Cheng Q · Zhang W · Wu Q · Xu K · Li Y · Nguyen N · Taft DH · Mills DA · Lemay DG · Zhu W · Mao S · Zhang A · He W first · Russel J · Klincke F · Nesme J · Sørensen SJ last · Zhang L · Yuan Y · Tian M · Zhou M · Hu Y · Huang J · Zou R · Zhao F · Su X · Liu Q · He Y · Feng J · Huang W · Luo Y · Shen W · Valguarnera E first · Tung J · Pak JJ · Russell SK · Hecht DW · Schwartz DJ · Wardenburg JB last · Bücking R first · Pasquali G · Löber U · Buss C · Viemann D · Jarquín-Díaz VH · Forslund-Startceva SK last
Downloads
PRJNA301903.csv.gz (15.6 KB) · parquet (91.9 KB) — all 403 samples, every field with route and confidence · PRJNA301903_determinations.csv.gz (48.3 KB) — 5,908 evidence rows