Evidence map›Paper›PMID 28381523›Full record

ArticleGut2018

Human milk oligosaccharide composition predicts risk of necrotising enterocolitis in preterm infants.

Chloe A Autran, Benjamin P Kellman, Jae H Kim, Elizabeth Asztalos, Arlin B Blood, Erin C Hamilton Spence, Aloka L Patel, Jiayi Hou, Nathan E Lewis, Lars Bode

Abstract readClinical StudyMulticenter Study
PubMed Publisher
In one paragraph

Article in Gut, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 136 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
136citing papers in PubMed, 4 pooled it
14.6field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

136 citing papers in PubMed, 4 syntheses or guidelines pooled it, 255 citations in OpenAlex.

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76 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 6 institutions in 2 countries.

Chloe A AutranDepartment of Pediatrics, University of California San Diego School of Medicine, La Jolla, California, USA.
Benjamin P KellmanDepartment of Pediatrics, University of California San Diego School of Medicine, La Jolla, California, USA.
Jae H KimDepartment of Pediatrics, University of California San Diego School of Medicine, La Jolla, California, USA.
Elizabeth AsztalosDepartment of Newborn & Developmental Pediatrics, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.
Arlin B BloodDepartment of Pediatrics, Loma Linda University School of Medicine, Loma Linda, California, USA.
Erin C Hamilton SpenceCook Children's Health Care System, Forth Worth, Texas, USA.
Aloka L PatelRush University Medical Center, Chicago, Illinois, USA.
Jiayi HouClinical & Translational Research Institute, University of California San Diego, La Jolla, California, USA.
Nathan E LewisDepartment of Pediatrics, University of California San Diego School of Medicine, La Jolla, California, USA.
Lars BodeDepartment of Pediatrics, University of California San Diego School of Medicine, La Jolla, California, USA.
University of California, San Diego · USCook Children's Health Care System · USHealth Sciences Centre · CALoma Linda University · USNovo Nordisk (United States) · USRush University Medical Center · US

Funding

San Diego Clinical and Translational Research InstituteUL1TR000100 · NCATS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FIRESTEIN, GARY S · 2012 to 2015
$19.7M
Fusing Glycobiology and Nutritional Sciences to Prevent Necrotizing EnterocolitisR00DK078668 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BODE, LARS · 2009 to 2011
$747k
Fusing Glycobiology and Nutritional Sciences to Prevent Necrotizing EnterocolitisK99DK078668 · NIDDK · SANFORD BURNHAM PREBYS MEDICAL DISCOVERY INSTITUTE · PI BODE, LARS · 2008 to 2009
$181k
NIDDK NIH HHS K99 DK078668NIDDK NIH HHS R00 DK078668
6 · The paper itself

Abstract

objectiveNecrotising enterocolitis (NEC) is one of the most common and often fatal intestinal disorders in preterm infants. Markers to identify at-risk infants as well as therapies to prevent and treat NEC are limited and urgently needed. NEC incidence is significantly lower in breast-fed compared with formula-fed infants. Infant formula lacks human milk oligosaccharides (HMO), such as disialyllacto-N-tetraose (DSLNT), which prevents NEC in neonatal rats. However, it is unknown if DSLNT also protects human preterm infants.

designWe conducted a multicentre clinical cohort study and recruited 200 mothers and their very low birthweight infants that were predominantly human milk-fed. We analysed HMO composition in breast milk fed to infants over the first 28 days post partum, matched each NEC case with five controls and used logistic regression and generalised estimating equation to test the hypothesis that infants who develop NEC receive milk with less DSLNT than infants who do not develop NEC.

resultsEight infants in the cohort developed NEC (Bell stage 2 or 3). DSLNT concentrations were significantly lower in almost all milk samples in NEC cases compared with controls, and its abundance could identify NEC cases prior to onset. Aggregate assessment of DSLNT over multiple days enhanced the separation of NEC cases and control subjects.

conclusionsDSLNT content in breast milk is a potential non-invasive marker to identify infants at risk of developing NEC, and screen high-risk donor milk. In addition, DSLNT could serve as a natural template to develop novel therapeutics against this devastating disorder.

Indexed as

Breast FeedingCase-Control StudiesCohort StudiesEnterocolitis, NecrotizingFemaleHumansInfantInfant, NewbornInfant, PrematureInfant, Very Low Birth WeightMaleMilk, HumanOligosaccharidesProspective StudiesRiskRisk AssessmentOligosaccharidesBREAST MILKINFANT/NEONATAL NUTRITIONNECROTIZING ENTEROCOLITISOLIGOSACCHARIDESPREBIOTIC

Identifiers

PMID28381523
OpenAlexW2605107433

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.