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PRJNA63661 SRP001634

Infant gut microbiota, preterm NICU cohort, USA

Microbial composition of samples from infant gut

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

Sources
✓Sequence archive 575○Abstract / description✓Full text 722✓Supplementary tables 3,672–External resources–User contribution–Human verified

Checked this project's papers and archive records yourself? Mark it human-verified.

what each source gave
✓ Sequence archive575 sample values (country, sex, subject id)
○ Abstract / descriptionread; no usable statement
✓ Full text722 sample values (collection date, country) · PMC10175488, PMC4203463, PMC4482142, PMC7371107, PMC8383385, PMC8549755
✓ Supplementary tables3,672 sample values (age, antibiotic exposure, country, delivery mode, gestational age weeks, health condition, health condition detail, nec status)
– 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

design observational_with_procedure

Samples at a glance
2 countries
Age
neonate430
unknown193
infant44
Condition
preterm_nicu297
nec63
Sex
male144
female89
Country
US662
GB5
Body site
primary667
Sequencing depth per sample · this project all projects
all projects, 0–0.03 Gbp: 25,080 samples (4 %)this project, 0–0.03 Gbp: 201 samplesall 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: 3 samplesall projects, 0.3–1 Gbp: 47,044 samples (8 %)this project, 0.3–1 Gbp: 19 samplesall projects, 1–3 Gbp: 124,983 samples (22 %)this project, 1–3 Gbp: 169 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 272 samplesall projects, 10–30 Gbp: 72,533 samples (13 %)this project, 10–30 Gbp: 2 samplesall 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 2.76 Gbp per sample0130Gbp
Sampling design and relatedness

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).

1116111161: day 011161: day 9011161: day 3041130111301: day 011301: day 5511301: day 14511301: day 3591134111341: day 011341: day 9011341: day 3041171111711: day 011711: day 311711: day 61196111961: day 011961: day 9011961: day 3041196211962: day 011962: day 9011962: day 3041212112121: day 012121: day 9012121: day 3041240112401: day 012401: day 312401: day 63001130011: day 030011: day 330011: day 1630011: day 5530011: day 5530011: day 14530011: day 3593003130031: day 030031: day 630031: day 5530031: day 5530031: day 1453008130081: day 030081: day 630081: day 1630081: day 5530081: day 14530081: day 3593010130101: day 030101: day 630101: day 1630101: day 5530101: day 14530101: day 3593014130141: day 030141: day 4930141: day 13930141: day 3533018130181: day 030181: day 630181: day 553019130191: day 030191: day 630191: day 1630191: day 5530191: day 14530191: day 359PRJNA63661_10141PRJNA63661_10141: day 0PRJNA63661_10141: day 6PRJNA63661_10141: day 16PRJNA63661_10301PRJNA63661_10301: day 0PRJNA63661_10301: day 3PRJNA63661_10301: day 6PRJNA63661_11091PRJNA63661_11091: day 0PRJNA63661_11091: day 3PRJNA63661_11091: day 6PRJNA63661_11091: day 9PRJNA63661_11141PRJNA63661_11141: day 0PRJNA63661_11141: day 6PRJNA63661_11141: day 9PRJNA63661_11141: day 16PRJNA63661_11161PRJNA63661_11161: day 0PRJNA63661_11161: day 3PRJNA63661_11161: day 6PRJNA63661_11161: day 9PRJNA63661_11161: day 16PRJNA63661_11232PRJNA63661_11232: day 0PRJNA63661_11232: day 3PRJNA63661_11232: day 6PRJNA63661_11232: day 9PRJNA63661_11292PRJNA63661_11292: day 0PRJNA63661_11292: day 3PRJNA63661_11292: day 6PRJNA63661_11292: day 9PRJNA63661_11341PRJNA63661_11341: day 0PRJNA63661_11341: day 3PRJNA63661_11341: day 9PRJNA63661_11341: day 16PRJNA63661_11631PRJNA63661_11631: day 0PRJNA63661_11631: day 3PRJNA63661_11631: day 6PRJNA63661_11631: day 9PRJNA63661_11721PRJNA63661_11721: day 0PRJNA63661_11721: day 3PRJNA63661_11721: day 6PRJNA63661_11721: day 9PRJNA63661_11721: day 16PRJNA63661_11821PRJNA63661_11821: day 0PRJNA63661_11821: day 0PRJNA63661_11821: day 3PRJNA63661_11821: day 6PRJNA63661_11821: day 9PRJNA63661_11862PRJNA63661_11862: day 0PRJNA63661_11862: day 6PRJNA63661_11862: day 9PRJNA63661_11862: day 16PRJNA63661_11891PRJNA63661_11891: day 0PRJNA63661_11891: day 3PRJNA63661_11891: day 6PRJNA63661_11891: day 9PRJNA63661_11891: day 16PRJNA63661_11961PRJNA63661_11961: day 0PRJNA63661_11961: day 6PRJNA63661_11961: day 9PRJNA63661_11961: day 16PRJNA63661_11961: day 16PRJNA63661_12121PRJNA63661_12121: day 0PRJNA63661_12121: day 3PRJNA63661_12121: day 6PRJNA63661_12121: day 9PRJNA63661_12121: day 16PRJNA63661_12261PRJNA63661_12261: day 0PRJNA63661_12261: day 3PRJNA63661_12261: day 6PRJNA63661_12261: day 9PRJNA63661_12261: day 16PRJNA63661_12311PRJNA63661_12311: day 0PRJNA63661_12311: day 3PRJNA63661_12311: day 6PRJNA63661_12311: day 13PRJNA63661_12331PRJNA63661_12331: day 0PRJNA63661_12331: day 3PRJNA63661_12331: day 6PRJNA63661_12331: day 9PRJNA63661_12351PRJNA63661_12351: day 0PRJNA63661_12351: day 3PRJNA63661_12351: day 6PRJNA63661_12351: day 9PRJNA63661_12351: day 16PRJNA63661_12431PRJNA63661_12431: day 0PRJNA63661_12431: day 3PRJNA63661_12431: day 6PRJNA63661_12431: day 13PRJNA63661_12621PRJNA63661_12621: day 0PRJNA63661_12621: day 6PRJNA63661_12621: day 9PRJNA63661_12621: day 160 d3 mo6 mo9 mo12 mo

Each row is one person (36 shown of 172); dots are samples at days since that person's first sample.

How longitudinal and relatedness information is derived

Community composition
Escherichia 20.3%Klebsiella 14.7%Enterococcus 7.4%Enterobacter 5.2%Staphylococcus 4.6%Bacteroides 3.3%Phocaeicola 3.0%Veillonella 2.8%Leuconostoc 2.3%Bifidobacterium 2.3%Serratia 2.2%Citrobacter 1.7%not assigned to a genus 9.0%other genera 21.2%

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 coverage
fieldsamplescoverageR1R2R3R4
age_category474 71%
country667 100%18742555
health_condition360 54%360
subject_id656 98%285371
collection_date667 100%667
age_at_collection_days474 71%474
nec_status407 61%407
delivery_mode404 61%404
gestational_age_weeks403 60%403
antibiotic_exposure356 53%356
preterm_status297 45%297
sex233 35%103130
health_condition_detail45 7%45
Papers (9)
  • 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
Details
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)
samplefieldvaluerouteconf.sourcequote
SAMN00001700age_at_collection_days11R20.75paper.supp.tableAge (days)=11
SAMN00002882antibiotic_exposurenoR20.75paper.supp.tableantibiotic_treatment=0
SAMN00001700collection_date2010/2011R30.70paper.fulltext.abstractenrolled during 2010 and 2011
SAMN00009845;SAMN00690721;SAMN00828875;SAMN01780005;SAMN01780038;SAMN01828267;SAMN01828292;SAMN01828275countryUSR10.90biosample_attrUSA;missing
SAMN00001700countryUSR20.75paper.supp.tableGeographic 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;SAMN01828402countryUSR30.25paper.fulltext.methodshospital 1 in Cincinnati, OH
SAMN00001700delivery_modevaginalR20.75paper.supp.tableCesarean=0
SAMN00001700gestational_age_weeks39.0R20.75paper.supp.tableInfant gestation weeks=39
SAMN00002882health_conditionpreterm_nicuR20.70paper.supp.tablePre_term_nec=Preterm
SAMN00691429health_condition_detailYESR20.85paper.supp.spectrum01176-21_supp_1_seq9.xlsx[Table S1][NEC diagnosis]YES
SAMN00001700nec_statusnoR20.75paper.supp.tableNEC=0
SAMN00002882preterm_statuspretermR20.75paper.supp.tablePre_term_nec=Preterm
SAMN00149603sexmaleR10.90biosample_attrMale
SAMN00690842sexmaleR20.85paper.supp.tableSex=Male
SAMN00001700subject_id30151R10.70sample.name_rule:sample_name30151_ST_11_1
SAMN01828262subject_id10961R10.70sample.name_rule:isolate_name_or_label10961-ST-11
SAMN00001760subject_idSRR649979R20.85paper.supp.tableRun=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

Samples (667 · every field this project has values for · hover a cell for its source)
Loading the sample table…