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PRJNA396794 SRP114966

Preterm infant gut metagenomes, NICU cohort, Pittsburgh

preterm infant gut metagenomes (NIH Y4 Cohort)

305 longitudinal fecal samples from premature infants in a Pittsburgh, PA NICU, including preterm NICU, necrotizing enterocolitis (NEC), and healthy control groups. machine-written summary

305 samples · 305 runs · US · Infant / toddler · 2017 · 7.19 Gbp / sample

One study deposited as 2 BioProjects (574 catalog samples together): PRJNA396794 · PRJNA417343 · show together

Sources
✓Sequence archive 611○Abstract / description✓Full text 329✓Supplementary tables 3,118✓External resources 306–User contribution–Human verified

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

what each source gave
✓ Sequence archive611 sample values (age, country, subject id)
○ Abstract / descriptionread; no usable statement
✓ Full text329 sample values (antibiotic exposure, location site, preterm status) · PMC10175488, PMC5758725, PMC6905865
✓ Supplementary tables3,118 sample values (antibiotic exposure, birth weight grams, delivery mode, feeding mode, gestational age weeks, health condition, maternal antibiotics, nec status)
✓ External resources306 sample values (health condition detail, sex) · from GMrepo v3, MicrobiomeDB (VEuPathDB)
– User contributionnothing uploaded yet
– Human verifiednot yet checked by a person · I checked this project — verify it
Samples at a glance
1 country
Age
neonate261
infant44
Condition
preterm_nicu235
nec52
healthy_control18
Sex
female186
male119
Country
US305
Body site
primary305
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: 1 samplesall projects, 0.3–1 Gbp: 47,044 samples (8 %)this project, 0.3–1 Gbp: 2 samplesall projects, 1–3 Gbp: 124,983 samples (22 %)this project, 1–3 Gbp: 8 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 229 samplesall projects, 10–30 Gbp: 72,533 samples (13 %)this project, 10–30 Gbp: 39 samplesall projects, 30–100 Gbp: 3,024 samples (1 %)this project, 30–100 Gbp: 26 samplesall projects, 100–300 Gbp: 106 samples (0 %)all projects, ≥ 300 Gbp: 9 samples (0 %)project median 7.19 Gbp per sample0130Gbp
Sampling design and relatedness

longitudinal

57 of 58 people sampled more than once (304 samples; median 5, up to 9 per person) · follow-up median 27 d (max 2 mo) · median interval between samples 6 d (time from age at collection). Schedule stated by the source: “Serial stool samples collected at multiple days of life (DOL) during NICU stay; up to 9 samples per infant”.

PRJNA396794_N4_0PRJNA396794_N4_082: day 0PRJNA396794_N4_082: day 6PRJNA396794_N4_082: day 7PRJNA396794_N4_082: day 14PRJNA396794_N4_082: day 20PRJNA396794_N4_082: day 24PRJNA396794_N4_0PRJNA396794_N4_089: day 0PRJNA396794_N4_089: day 8PRJNA396794_N4_089: day 8PRJNA396794_N4_089: day 18PRJNA396794_N4_089: day 18PRJNA396794_N4_089: day 22PRJNA396794_N4_089: day 27PRJNA396794_N4_0PRJNA396794_N4_094: day 0PRJNA396794_N4_094: day 8PRJNA396794_N4_094: day 10PRJNA396794_N4_094: day 10PRJNA396794_N4_094: day 12PRJNA396794_N4_094: day 18PRJNA396794_N4_094: day 23PRJNA396794_N4_0PRJNA396794_N4_095: day 0PRJNA396794_N4_095: day 12PRJNA396794_N4_095: day 16PRJNA396794_N4_095: day 19PRJNA396794_N4_095: day 25PRJNA396794_N4_0PRJNA396794_N4_097: day 0PRJNA396794_N4_097: day 5PRJNA396794_N4_097: day 7PRJNA396794_N4_097: day 10PRJNA396794_N4_097: day 12PRJNA396794_N4_097: day 27PRJNA396794_N4_097: day 34PRJNA396794_N4_1PRJNA396794_N4_100: day 0PRJNA396794_N4_100: day 7PRJNA396794_N4_100: day 9PRJNA396794_N4_100: day 11PRJNA396794_N4_100: day 13PRJNA396794_N4_100: day 14PRJNA396794_N4_100: day 17PRJNA396794_N4_1PRJNA396794_N4_101: day 0PRJNA396794_N4_101: day 12PRJNA396794_N4_101: day 15PRJNA396794_N4_101: day 17PRJNA396794_N4_101: day 27PRJNA396794_N4_101: day 38PRJNA396794_N4_101: day 42PRJNA396794_N4_1PRJNA396794_N4_104: day 0PRJNA396794_N4_104: day 10PRJNA396794_N4_104: day 13PRJNA396794_N4_104: day 21PRJNA396794_N4_104: day 27PRJNA396794_N4_1PRJNA396794_N4_105: day 0PRJNA396794_N4_105: day 7PRJNA396794_N4_105: day 10PRJNA396794_N4_105: day 11PRJNA396794_N4_105: day 16PRJNA396794_N4_1PRJNA396794_N4_106: day 0PRJNA396794_N4_106: day 9PRJNA396794_N4_106: day 10PRJNA396794_N4_106: day 11PRJNA396794_N4_106: day 28PRJNA396794_N4_106: day 51PRJNA396794_N4_106: day 59PRJNA396794_N4_1PRJNA396794_N4_107: day 0PRJNA396794_N4_107: day 23PRJNA396794_N4_107: day 26PRJNA396794_N4_107: day 30PRJNA396794_N4_107: day 34PRJNA396794_N4_1PRJNA396794_N4_114: day 0PRJNA396794_N4_114: day 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day 13PRJNA396794_N4_126: day 16PRJNA396794_N4_126: day 19PRJNA396794_N4_126: day 22PRJNA396794_N4_1PRJNA396794_N4_128: day 0PRJNA396794_N4_128: day 7PRJNA396794_N4_128: day 10PRJNA396794_N4_128: day 10PRJNA396794_N4_128: day 12PRJNA396794_N4_128: day 16PRJNA396794_N4_128: day 30PRJNA396794_N4_1PRJNA396794_N4_131: day 0PRJNA396794_N4_131: day 6PRJNA396794_N4_131: day 9PRJNA396794_N4_131: day 15PRJNA396794_N4_131: day 23PRJNA396794_N4_1PRJNA396794_N4_138: day 0PRJNA396794_N4_138: day 5PRJNA396794_N4_138: day 8PRJNA396794_N4_138: day 10PRJNA396794_N4_138: day 12PRJNA396794_N4_1PRJNA396794_N4_141: day 0PRJNA396794_N4_141: day 8PRJNA396794_N4_141: day 13PRJNA396794_N4_141: day 20PRJNA396794_N4_141: day 37PRJNA396794_N4_1PRJNA396794_N4_142: day 0PRJNA396794_N4_142: day 8PRJNA396794_N4_142: day 13PRJNA396794_N4_142: day 20PRJNA396794_N4_142: day 36PRJNA396794_N4_1PRJNA396794_N4_151: day 0PRJNA396794_N4_151: day 6PRJNA396794_N4_151: day 14PRJNA396794_N4_151: day 17PRJNA396794_N4_151: day 21PRJNA396794_N4_1PRJNA396794_N4_152: day 0PRJNA396794_N4_152: day 6PRJNA396794_N4_152: day 14PRJNA396794_N4_152: day 18PRJNA396794_N4_152: day 21PRJNA396794_N4_1PRJNA396794_N4_154: day 0PRJNA396794_N4_154: day 6PRJNA396794_N4_154: day 9PRJNA396794_N4_154: day 13PRJNA396794_N4_154: day 20PRJNA396794_N4_1PRJNA396794_N4_155: day 0PRJNA396794_N4_155: day 6PRJNA396794_N4_155: day 9PRJNA396794_N4_155: day 13PRJNA396794_N4_155: day 20PRJNA396794_N4_1PRJNA396794_N4_159: day 0PRJNA396794_N4_159: day 15PRJNA396794_N4_159: day 24PRJNA396794_N4_159: day 31PRJNA396794_N4_159: day 39PRJNA396794_N4_159: day 53PRJNA396794_N4_1PRJNA396794_N4_160: day 0PRJNA396794_N4_160: day 10PRJNA396794_N4_160: day 24PRJNA396794_N4_160: day 39PRJNA396794_N4_160: day 53PRJNA396794_N4_1PRJNA396794_N4_167: day 0PRJNA396794_N4_167: day 20PRJNA396794_N4_167: day 27PRJNA396794_N4_167: day 66PRJNA396794_N4_167: day 72PRJNA396794_N4_1PRJNA396794_N4_170: day 0PRJNA396794_N4_170: day 7PRJNA396794_N4_170: day 9PRJNA396794_N4_170: day 12PRJNA396794_N4_170: day 16PRJNA396794_N4_170: day 19PRJNA396794_N4_1PRJNA396794_N4_179: day 0PRJNA396794_N4_179: day 13PRJNA396794_N4_179: day 18PRJNA396794_N4_179: day 23PRJNA396794_N4_179: day 36PRJNA396794_N4_179: day 64PRJNA396794_N4_2PRJNA396794_N4_206: day 0PRJNA396794_N4_206: day 11PRJNA396794_N4_206: day 16PRJNA396794_N4_206: day 21PRJNA396794_N4_206: day 38PRJNA396794_N4_206: day 52PRJNA396794_N4_2PRJNA396794_N4_207: day 0PRJNA396794_N4_207: day 8PRJNA396794_N4_207: day 9PRJNA396794_N4_207: day 24PRJNA396794_N4_207: day 25PRJNA396794_N4_207: day 26PRJNA396794_N4_207: day 28PRJNA396794_N4_2PRJNA396794_N4_208: day 0PRJNA396794_N4_208: day 8PRJNA396794_N4_208: day 9PRJNA396794_N4_208: day 14PRJNA396794_N4_208: day 21PRJNA396794_N4_208: day 40PRJNA396794_N4_208: day 46PRJNA396794_N4_2PRJNA396794_N4_212: day 0PRJNA396794_N4_212: day 8PRJNA396794_N4_212: day 10PRJNA396794_N4_212: day 12PRJNA396794_N4_212: day 14PRJNA396794_N4_212: day 18PRJNA396794_N4_212: day 20PRJNA396794_N4_2PRJNA396794_N4_213: day 0PRJNA396794_N4_213: day 5PRJNA396794_N4_213: day 6PRJNA396794_N4_213: day 6PRJNA396794_N4_213: day 26PRJNA396794_N4_213: day 29PRJNA396794_N4_213: day 300 d18 d36 d54 d2 mo

Each row is one person (36 shown of 57); dots are samples at days since that person's first sample.

How longitudinal and relatedness information is derived

Community composition
Klebsiella 19.0%Escherichia 17.1%Veillonella 11.8%Clostridium 6.0%Enterobacter 5.8%Enterococcus 5.8%Staphylococcus 5.7%Sarcina 2.4%Clostridioides 2.1%Haemophilus_D 1.9%Streptococcus 1.6%Citrobacter 1.4%not assigned to a genus 2.0%other genera 17.3%

Genera, mean relative abundance over 275 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category305 100%
country305 100%305
health_condition305 100%305
subject_id305 100%1304
age_at_collection_days305 100%305
antibiotic_exposure305 100%3032
detailed_location305 100%
health_condition_detail305 100%305
location_site305 100%305
preterm_status305 100%28322
sex305 100%305
birth_weight_grams304 100%304
delivery_mode304 100%304
gestational_age_weeks304 100%304
feeding_mode303 99%303
nec_status303 99%303
timepoint_label60 20%60
maternal_antibiotics41 13%41
Papers (10)
  • Machine Learning Leveraging Genomes from Metagenomes Identifies Influential Antibiotic Resistance Genes in the Infant Gut Microbiome. PMID 29359195 PMC5758725 curated
  • Necrotizing enterocolitis is preceded by increased gut bacterial replication, Klebsiella, and fimbriae-encoding bacteria. PMID 31844663 PMC6905865 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
5 more
Details
Archive description

Time-series fecal samples for a cohort of premature infants in NICU

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of infant / toddler and neonate by deterministic_prior with confidence 0.90. Assay shotgun_dna.

  • host external_curation.infant_catalog · “infant triage verdict include”
  • body site study.title · “preterm infant gut metagenomes (NIH Y4”
  • body site study.description · “Time-series fecal samples for a”
  • life stage external_curation.infant_catalog · “infant triage verdict include (0-3 y scope)”
  • life stage study.title · “preterm infant gut metagenomes (NIH”
  • life stage study.title · “preterm infant gut metagenomes”
  • life stage study.description · “a cohort of premature infants in NICU”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN07501037age_at_collection_days8R10.90biosample_attr8
SAMN07501037antibiotic_exposureyesR20.75paper.supp.tableInfant antibiotics=yes
SAMN07501290antibiotic_exposureyesR30.80paper.fulltext.resultsAll 107 infants received gentamicin and ampicillin during the first week
SAMN07501037birth_weight_grams1411R20.75paper.supp.tableBirth weight (gram)=1411
SAMN07501037countryUSR10.90biosample_attrUSA: Pittsburgh, PA
SAMN07501037delivery_modec_sectionR20.75paper.supp.tableDelivery mode=CS
SAMN07501037feeding_modeformulaR20.75paper.supp.tableFeeding pattern=formula
SAMN07501037gestational_age_weeks32.0R20.75paper.supp.tableGestational age (weeks)=32
SAMN07501037health_conditionpreterm_nicuR20.70paper.supp.tablePre_term_nec=Preterm
SAMN07501037health_condition_detailPremature BirthR20.75external.gmrepo sourcephenotype: Premature Birth
SAMN07501037location_siteMagee-Women's Hospital NICUR30.70paper.fulltext.methodsneonatal intensive care unit (NICU) at the Magee-Women’s Hospital in Pittsburgh, PA
SAMN07501037maternal_antibioticsyesR20.75paper.supp.tableMat_AB=True
SAMN07501037nec_statusnoR20.75paper.supp.tablePreNEC=noNEC
SAMN07501037preterm_statuspretermR20.75paper.supp.tablePre_term_nec=Preterm
SAMN07501079preterm_statuspretermR30.80paper.fulltext.resultsA total of 107 premature infants were studied
SAMN07501037sexfemaleR20.75paper.supp.tableSex=female
SAMN07501302sexmaleR20.75external.microbiomedb sourceSex: Male
SAMN07501302subject_idN4_115R10.85biosample.attribute:infantN4_115
SAMN07501037subject_idPRJNA396794_N4_005R20.75paper.supp.tableHost ID=PRJNA396794_N4_005
SAMN07501040timepoint_label0R20.75paper.supp.tableWindow=0
Sequencing

305 runs over 305 samples · mean 11.44 Gbp per run (median 7.19 Gbp, total 3,489.32 Gbp; 305 runs with a base count) · layout PAIRED 305 · platform ILLUMINA 305 · models Illumina HiSeq 3000 (305) · 90% of runs with a Sandpiper profile · first public 2017-11-09

Authors (88)

Rahman SF first · Olm MR · Morowitz MJ · Banfield JF last · Bhattacharya N · Crits-Christoph A · Firek BA · Baker R · Song YS · 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 · Lugli GA first · Mancabelli L · Milani C · Fontana F · Tarracchini C · Alessandri G · van Sinderen D · Turroni F · Ventura M last · Hall B first · Levy S · Dufault-Thompson K · Arp G · Zhong A · Ndjite GM · Weiss A · Braccia D · Jenkins C · Grant MR · Abeysinghe S · Yang Y · Jermain MD · Wu CH · Ma B · Jiang X last · Li S · Ying J · Wang H · Qu Y · Niu X · 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

Downloads

PRJNA396794.csv.gz (11.5 KB) · parquet (85.0 KB) — all 305 samples, every field with route and confidence · PRJNA396794_determinations.csv.gz (36.2 KB) — 4,364 evidence rows

Samples (305 · every field this project has values for · hover a cell for its source)
Loading the sample table…