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PRJNA1301887 SRP607702

VLBW preterm infant gut microbiome, growth faltering, cohort

Preterm infant weight gain patterns are not associated with gut microbiome measures

517 fecal samples from very low birth weight preterm infants, collected serially from birth to hospital discharge, in a longitudinal cohort study examining whether gut microbiome composition is associated with growth faltering or growth failure. machine-written summary

517 samples · 517 runs · US · Infant / toddler · 2026 · 1.45 Gbp / sample

Sources
✓Sequence archive 3,102○Abstract / description✓Full text 1,034–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 archive3,102 sample values (age, collection date, country, sex, subject id, timepoint)
○ Abstract / descriptionread; no usable statement
✓ Full text1,034 sample values (health condition, health condition detail) · PMC13528780
– Supplementary tablesno supplementary tables available (or none open access)
– 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
Samples at a glance
1 country
Age
infant322
neonate195
Condition
preterm_nicu517
Sex
male268
female249
Country
US517
Body site
primary517
Collected 2018–2021
2018: 65 samples2019: 289 samples2020: 99 samples2021: 64 samples20182021
Sequencing depth per sample · this project all projects
all projects, 0–0.03 Gbp: 25,080 samples (4 %)this project, 0–0.03 Gbp: 21 samplesall 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: 6 samplesall projects, 0.3–1 Gbp: 47,044 samples (8 %)this project, 0.3–1 Gbp: 33 samplesall projects, 1–3 Gbp: 124,983 samples (22 %)this project, 1–3 Gbp: 455 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 2 samplesall projects, 10–30 Gbp: 72,533 samples (13 %)all 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 1.45 Gbp per sample0130Gbp
Sampling design and relatedness

longitudinal

86 of 90 people sampled more than once (513 samples; median 5, up to 14 per person) · follow-up median 44 d (max 3 mo) · median interval between samples 7 d (time from age at collection). Schedule stated by the source: “weekly fecal sampling from birth to hospital discharge” (time origin: birth).

150150: day 0150: day 7150: day 14150: day 22150: day 29150: day 35165165: day 0165: day 39165: day 47165: day 56165: day 60165: day 67165: day 83165: day 96167167: day 0167: day 2167: day 5167: day 14167: day 22167: day 28167: day 36168168: day 0168: day 5168: day 6168: day 15168: day 23168: day 28168: day 35170170: day 0170: day 4170: day 5170: day 9170: day 17170: day 27170: day 30170: day 37170: day 46170: day 51170: day 58170: day 65171171: day 0171: day 3171: day 8171: day 15171: day 21171: day 28171: day 35171: day 45171: day 57172172: day 0172: day 4172: day 5172: day 11172: day 19172: day 25172: day 32172: day 39172: day 47172: day 55172: day 61172: day 68173173: day 0173: day 13173: day 20173: day 26173: day 33173: day 42173: day 49173: day 55173: day 61174174: day 0174: day 3174: day 4174: day 5174: day 18174: day 23174: day 31174: day 38174: day 46174: day 52174: day 58174: day 79175175: day 0175: day 8175: day 16175: day 23175: day 28175: day 36176176: day 0176: day 7176: day 10176: day 17176: day 24176: day 32176: day 38176: day 45176: day 51176: day 59176: day 66176: day 73176: day 87176: day 102177177: day 0177: day 2177: day 9177: day 17177: day 25177: day 34177: day 45177: day 52177: day 66177: day 83177: day 94180180: day 0180: day 3180: day 7180: day 13180: day 20180: day 27180: day 34180: day 42181181: day 0181: day 5181: day 15181: day 21181: day 36181: day 42181: day 50182182: day 0182: day 8182: day 13182: day 21182: day 27182: day 38188188: day 0188: day 1188: day 11188: day 19188: day 20188: day 26188: day 34188: day 40188: day 61189189: day 0189: day 3189: day 14189: day 20189: day 29189: day 35189: day 44191191: day 0191: day 3191: day 9191: day 11191: day 15191: day 20191: day 27191: day 34191: day 42191: day 51193193: day 0193: day 6193: day 14193: day 21193: day 29193: day 34193: day 43194194: day 0194: day 12194: day 18194: day 26194: day 33194: day 40195195: day 0195: day 4195: day 6195: day 12195: day 19195: day 25195: day 33195: day 41195: day 71196196: day 0196: day 5196: day 12196: day 18196: day 27196: day 33196: day 40196: day 47197197: day 0197: day 2197: day 5197: day 13197: day 20197: day 27197: day 34197: day 40197: day 55201201: day 0201: day 13201: day 20201: day 24201: day 32201: day 42202202: day 0202: day 5202: day 11202: day 17202: day 24202: day 30203203: day 0203: day 1203: day 8203: day 13203: day 20203: day 27203: day 34203: day 42203: day 48203: day 70203: day 85204204: day 0204: day 7204: day 11204: day 18204: day 25204: day 32204: day 41204: day 49204: day 67205205: day 0205: day 2205: day 17205: day 24205: day 29205: day 42205: day 48206206: day 0206: day 8206: day 17206: day 23206: day 35206: day 42207207: day 0207: day 16207: day 20207: day 27207: day 34207: day 42207: day 48207: day 61207: day 69207: day 88207: day 97210210: day 0210: day 3210: day 7210: day 14210: day 21210: day 27210: day 35210: day 40210: day 59210: day 65210: day 77211211: day 0211: day 10211: day 25211: day 37211: day 46211: day 62211: day 74212212: day 0212: day 15212: day 22212: day 36212: day 52212: day 64212: day 78212: day 919910199101: day 099101: day 1299101: day 2899101: day 5099101: day 6299101: day 7799101: day 929910699106: day 099106: day 1699106: day 2299106: day 4499106: day 5899106: day 6799106: day 8599106: day 939911199111: day 099111: day 1999111: day 2799111: day 4699111: day 6099111: day 7399111: day 800 d26 d51 d3 mo3 mo

Each row is one person (36 shown of 86); 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_category517 100%
country517 100%517
health_condition517 100%517
subject_id517 100%517
age_at_collection_days517 100%517
collection_date517 100%517
health_condition_detail517 100%517
sex517 100%517
timepoint_label517 100%517
Papers (1)
Details
Archive description

Among very low birth weight (VLBW <1500g) infants, failure to gain appropriate weight during hospitalization is associated with adverse outcomes. The gut microbiome contributes to nutrient accretion. Perturbation of the assembly of intestinal microbial communities in term infants has been linked to growth failure. However, if the microbiome modulates growth in preterm infants, and particularly growth faltering, a potentially more clinically relevant marker of malnutrition in preterm infants has not been explored.</p><p>Prospective cohort study of 101 VLBW infants with 855 serial fecal specimens collected from birth to hospital discharge and sequenced using shotgun metagenomics. The stool microbiome was evaluated in infants with growth faltering categorized as a reduction in weight-for-age z scores from birth to 36 weeks PMA: <=0.8 (none), >0.8 to 1.2 (mild) >1.2 (moderate to severe), and in infants with growth failure (<3rd percentile weight-for-age) at 36 weeks PMA. In a subset of 46 infants and 202 samples, fecal metabolomics was performed using 1H NMR-based metabolomics. All analyses were adjusted for postnatal age and birthweight z-score, and additionally with variables for diet and antibiotic exposure as appropriate.</p><p>At 36 weeks PMA, 18% of infants had growth failure, and 53.5% had growth faltering. Both definitions identified distinct populations of infants. Age was associated with significant changes in microbiome composition, gene abundance, and metabolite concentration. When adjusting for postnatal age, infants in the comparator groups did not differ in diversity or taxonomic composition. Microbial genomic composition analysis of the 500 most abundant Kyoto Encyclopedia of Genes and Genomes (KEGG) orthologs (KO) showed that 3 KOs were decreased in mild growth faltering 1 KO was decreased, and 5 KOs were increased in moderate to severe faltering. The glycolysis and gluconeogenesis pathway was decreased in abundance among infants with moderate to severe faltering. No differences in the top 500 KO were found in infants with and without growth failure. Metabolite concentrations were not significantly different in the study groups. Microbiome maturity models identified a lag in maturity among infants with growth failure, but not in infants with growth faltering.</p><p>In contrast to older children with deprivation-related malnutrition, there were minimal differences in microbiome measures in preterm infants with growth faltering or growth failure, except for a delay in microbiome maturity among infants with growth failure.

How this project entered the registry

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

  • host external_curation.infant_catalog · “infant triage verdict include”
  • body site study.title · “not associated with gut microbiome measures”
  • body site study.description · “adverse outcomes. The gut microbiome contributes to”
  • life stage external_curation.infant_catalog · “infant triage verdict include (0-3 y scope)”
  • life stage study.title · “Preterm infant weight gain patterns”
  • life stage study.title · “Preterm infant weight gain”
  • life stage study.description · “modulates growth in preterm infants, and particularly”
  • life stage study.description · “contrast to older children with deprivation-related malnutrition,”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN50455251age_at_collection_days49R10.90biosample_attr48.77708333333334
SAMN50455251collection_date2018R10.85biosample.attribute:collection_date2018
SAMN50455251countryUSR10.90biosample_attrUSA
SAMN50455251health_conditionpreterm_nicuR30.70paper.body.methodsborn with birth weight <1500 grams and gestational age <34 weeks
SAMN50455251health_condition_detailvery low birth weight (VLBW; <1500g) infants, gestational age <34 weeksR30.70paper.body.methodsborn with birth weight <1500 grams and gestational age <34 weeks
SAMN50455251sexfemaleR10.90biosample_attrfemale
SAMN50455251subject_id124R10.70sample.name_rule:library_nameinf124Cat1T7n1
SAMN50455251timepoint_label8R10.85biosample.attribute:wol8
Sequencing

517 runs over 517 samples · mean 1.46 Gbp per run (median 1.45 Gbp, total 756.39 Gbp; 517 runs with a base count) · layout PAIRED 517 · platform ILLUMINA 517 · models Illumina HiSeq 2500 (517) · 0% of runs with a Sandpiper profile · first public 2026-03-23

Authors (0)

No author record.

Downloads

PRJNA1301887.csv.gz (16.8 KB) · parquet (92.8 KB) — all 517 samples, every field with route and confidence · PRJNA1301887_determinations.csv.gz (35.3 KB) — 4,136 evidence rows

Samples (517 · every field this project has values for · hover a cell for its source)
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