Infant gut microbiota, preterm NICU cohort, USA
667 samples from a longitudinal cohort study of infant gut microbiota in the USA, focused on preterm/NICU infants, including cases of necrotizing enterocolitis (NEC), examining gestational age and antibiotic effects on microbial development. machine-written summary
667 samples · 3,489 runs · US, GB · Infant / toddler · 2011 · 2.76 Gbp / sample
Checked this project's papers and archive records yourself? Mark it human-verified.
what each source gave
| ✓ Sequence archive | 575 sample values (country, sex, subject id) |
| ○ Abstract / description | read; no usable statement |
| ✓ Full text | 722 sample values (collection date, country) · PMC10175488, PMC4203463, PMC4482142, PMC7371107, PMC8383385, PMC8549755 |
| ✓ Supplementary tables | 3,672 sample values (age, antibiotic exposure, country, delivery mode, gestational age weeks, health condition, health condition detail, nec status) |
| – External resources | not covered by the external resources we ingest |
| – User contribution | nothing uploaded yet |
| – Human verified | not yet checked by a person · I checked this project — verify it |
intervention — arms not resolved
design observational_with_procedure
longitudinal
172 of 322 people sampled more than once (506 samples; median 3, up to 7 per person) · follow-up median 6 d (max 12 mo) · median interval between samples 3 d (time from age at collection). Schedule stated by the source: “Repeated stool sampling of infants over time; subject_id present for 322 of 667 samples (coverage 0.98 of subjects), no timepoint_label coverage.” (time origin: birth).
Each row is one person (36 shown of 172); dots are samples at days since that person's first sample.
Genera, mean relative abundance over 435 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 | 474 | 71% | ||||
| country | 667 | 100% | 187 | 425 | 55 | |
| health_condition | 360 | 54% | 360 | |||
| subject_id | 656 | 98% | 285 | 371 | ||
| collection_date | 667 | 100% | 667 | |||
| age_at_collection_days | 474 | 71% | 474 | |||
| nec_status | 407 | 61% | 407 | |||
| delivery_mode | 404 | 61% | 404 | |||
| gestational_age_weeks | 403 | 60% | 403 | |||
| antibiotic_exposure | 356 | 53% | 356 | |||
| preterm_status | 297 | 45% | 297 | |||
| sex | 233 | 35% | 103 | 130 | ||
| health_condition_detail | 45 | 7% | 45 |
- Intestinal microbiota of preterm infants differ over time and between hospitals. PMID 25332767 PMC4203463 curated
- Center Variation in Intestinal Microbiota Prior to Late-Onset Sepsis in Preterm Infants. PMID 26110908 PMC4482142 curated
- Preterm infants harbour diverse <i>Klebsiella</i> populations, including atypical species that encode and produce an array of antimicrobial resistance- and virulence-associated factors. PMID 32436839 PMC7371107 curated
- Deterministic transition of enterotypes shapes the infant gut microbiome at an early age. PMID 34429130 PMC8383385 curated
- Unraveling the Microbiome of Necrotizing Enterocolitis: Insights in Novel Microbial and Metabolomic Biomarkers. PMID 34704805 PMC8549755 curated
4 more
- Metabolic model of necrotizing enterocolitis in the premature newborn gut resulting from enteric dysbiosis. PMID 36081629 PMC9445129
- Comprehensive insights from composition to functional microbe-based biodiversity of the infant human gut microbiota. PMID 37169786 PMC10175488
- Infant age inversely correlates with gut carriage of resistance genes, reflecting modifications in microbial carbohydrate metabolism during early life. PMID 38882494 PMC11170968
- Refining microbiome resolution: KoSCAPE<sub>bio</sub> identifies <i>Klebsiella oxytoca</i> complex species in16S rRNA amplicon data and uncovers associations with NEC. PMID 41250602 PMC12629330
Archive description
The microbial composition of the gut likely contributes to a wide-range of health and disease states including intestinal inflammation, atopic disease, and possibly diseases of adulthood, such as heart disease and obesity. The early establishment of the gut microflora is suspected to have a particularly profound impact protecting the gut from infectious disease and on long-term subsequent health by predisposing individuals to atopic or autoimmune disease later in life. In contrast to the large-scale efforts of the Human Microbiome Project to characterize the microbial flora of healthy adults, relatively little has been accomplished to characterize the early establishment of the microbiota in infants. <p> The administration of antibiotics to infants has the capacity to profoundly affect the early acquisition, establishment, and natural maturation of commensal microflora. Prematurity is another major factor that is thought to influence 'normal' gut microbial composition in early life. A high number of pre-term infants receive antibiotic therapy prophylactically the immediate and long-term effects of antibiotic treatment on infant and later health outcomes are unknown. We hypothesize that gestational age influences the ability to support 'normal' gut microbiota, and that antibiotic administration in the first few weeks of life can alter or delay the development of a 'normal' microbiota and may lead to adverse health outcomes. If we hope to promote the healthy establishment of early gut colonization and thereby improve health outcomes, we need to establish what 'normal' colonization looks like across gestational ages and apply this knowledge as a benchmark to understand the impact of antibiotic treatment in early postnatal life. <p> In this project, we propose to examine the microbiome in four cohorts ranging from extremely preterm to term, with birth weights appropriate for gestational age: Group 1) 23 to 27 weeks and extremely low birth weight [ELBW, <1000 grams] Group 2) 28 to 32 weeks and very low birth weight [VLBW, >1000 to <1500 grams] Group 3) 33 to 36 weeks and low birth weight [LBW, >1500 to <2500 grams] and Group 4) term (37 to 42 weeks) and normal [>2500 to <4000 gram] birth weight. The infant gut microbiome will be assessed longitudinally in study infants from the first postnatal week to 18 months of age, and will include untreated and antibiotic-treated infants.
How this project entered the registry
Classified as human gut / stool shotgun DNA metagenome of infant / toddler and neonate and adult by deterministic_prior with confidence 0.90. Assay shotgun_dna.
- host external_curation.infant_catalog · “infant triage verdict include”
- body site study.title · “samples from infant gut”
- body site study.description · “composition of the gut likely contributes to”
- life stage external_curation.infant_catalog · “infant triage verdict include (0-3 y scope)”
- life stage study.title · “of samples from infant gut”
- life stage study.description · “of commensal microflora. Prematurity is another major”
- life stage study.description · “flora of healthy adults , relatively little”
Evidence examples (one per field × route)
| sample | field | value | route | conf. | source | quote |
|---|---|---|---|---|---|---|
| SAMN00001700 | age_at_collection_days | 11 | R2 | 0.75 | paper.supp.table | Age (days)=11 |
| SAMN00002882 | antibiotic_exposure | no | R2 | 0.75 | paper.supp.table | antibiotic_treatment=0 |
| SAMN00001700 | collection_date | 2010/2011 | R3 | 0.70 | paper.fulltext.abstract | enrolled during 2010 and 2011 |
| SAMN00009845;SAMN00690721;SAMN00828875;SAMN01780005;SAMN01780038;SAMN01828267;SAMN01828292;SAMN01828275 | country | US | R1 | 0.90 | biosample_attr | USA;missing |
| SAMN00001700 | country | US | R2 | 0.75 | paper.supp.table | Geographic location=USA |
| SAMN00009845;SAMN00690721;SAMN01773315;SAMN01774079;SAMN01779937;SAMN01779999;SAMN01780031;SAMN01828298;SAMN01828362;SAMN01828361;SAMN01828299;SAMN01828266;SAMN01828290;SAMN01828349;SAMN01828399;SAMN01828277;SAMN01828332;SAMN01828279;SAMN01828371;SAMN01828385;SAMN01828273;SAMN01828389;SAMN01828338;SAMN01828276;SAMN01828388;SAMN01828278;SAMN01828386;SAMN01828321;SAMN01828314;SAMN01828274;SAMN01828435;SAMN01828337;SAMN01828264;SAMN01828312;SAMN01828283;SAMN01828303;SAMN01828368;SAMN01828350;SAMN01828342;SAMN01828382;SAMN01828357;SAMN01828370;SAMN01828333;SAMN01828325;SAMN01828367;SAMN01828395;SAMN01828341;SAMN01828384;SAMN01828417;SAMN01828326;SAMN01828418;SAMN01828413;SAMN01828296;SAMN01828391;SAMN01828381;SAMN01828293;SAMN01828358;SAMN01828263;SAMN01828336;SAMN01828416;SAMN01828339;SAMN01828405;SAMN01828355;SAMN01828392;SAMN01828396;SAMN01828352;SAMN01828262;SAMN01828404;SAMN01828397;SAMN01828402 | country | US | R3 | 0.25 | paper.fulltext.methods | hospital 1 in Cincinnati, OH |
| SAMN00001700 | delivery_mode | vaginal | R2 | 0.75 | paper.supp.table | Cesarean=0 |
| SAMN00001700 | gestational_age_weeks | 39.0 | R2 | 0.75 | paper.supp.table | Infant gestation weeks=39 |
| SAMN00002882 | health_condition | preterm_nicu | R2 | 0.70 | paper.supp.table | Pre_term_nec=Preterm |
| SAMN00691429 | health_condition_detail | YES | R2 | 0.85 | paper.supp.spectrum01176-21_supp_1_seq9.xlsx[Table S1][NEC diagnosis] | YES |
| SAMN00001700 | nec_status | no | R2 | 0.75 | paper.supp.table | NEC=0 |
| SAMN00002882 | preterm_status | preterm | R2 | 0.75 | paper.supp.table | Pre_term_nec=Preterm |
| SAMN00149603 | sex | male | R1 | 0.90 | biosample_attr | Male |
| SAMN00690842 | sex | male | R2 | 0.85 | paper.supp.table | Sex=Male |
| SAMN00001700 | subject_id | 30151 | R1 | 0.70 | sample.name_rule:sample_name | 30151_ST_11_1 |
| SAMN01828262 | subject_id | 10961 | R1 | 0.70 | sample.name_rule:isolate_name_or_label | 10961-ST-11 |
| SAMN00001760 | subject_id | SRR649979 | R2 | 0.85 | paper.supp.table | Run=SRR649979 |
Sequencing
3,489 runs over 667 samples · mean 0.47 Gbp per run (median 0.40 Gbp, total 1,649.98 Gbp; 3,489 runs with a base count) · layout PAIRED 3,070, SINGLE 419 · platform ILLUMINA 3,070, LS454 419 · models Illumina HiSeq 2000 (3,070), 454 GS FLX Titanium (419) · 74% of runs with a Sandpiper profile · first public 2011-08-02 – 2015-04-04
Authors (79)
Taft DH first · Ambalavanan N · Schibler KR · Yu Z · Newburg DS · Ward DV · Morrow AL last · Deshmukh H · Chen Y first · Brook TC · Soe CZ · O'Neill I · Alcon-Giner C · Leelastwattanagul O · Phillips S · Caim S · Clarke P · Hall LJ · Hoyles L last · Tisza MJ first · Buck CB last · Xiao L first · Wang J · Zheng J · Li X · Zhao F last · Tarracchini C first · Milani C · Longhi G · Fontana F · Mancabelli L · Pintus R · Lugli GA · Alessandri G · Anzalone R · Viappiani A · Turroni F · Mussap M · Dessì A · Cesare Marincola F · Noto A · De Magistris A · Vincent M · Bernasconi S · Picaud JC · Fanos V · Ventura M 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 · van Sinderen D · Xu X first · Feng Q · Zhang T · Gao Y · Cheng Q · Zhang W · Wu Q · Xu K · Li Y · Nguyen N · Mills DA · Lemay DG · Zhu W · Mao S · Zhang A · Cosic A first · Halwachs B · Schild-Prüfert K · Zechner EL · Kienesberger S last
Downloads
PRJNA63661.csv.gz (23.8 KB) · parquet (106.6 KB) — all 667 samples, every field with route and confidence · PRJNA63661_determinations.csv.gz (51.2 KB) — 4,969 evidence rows