Evidence map›Paper›PMID 34465872›Full record

ArticlePediatric research2022

Lipocalin-2 and calprotectin as stool biomarkers for predicting necrotizing enterocolitis in premature neonates.

Marie-Pier Thibault, Éric Tremblay, Chantal Horth, Aube Fournier-Morin, David Grynspan, Corentin Babakissa, Emile Levy, Emanuela Ferretti, Valérie Bertelle, Jean-François Beaulieu

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Article in Pediatric research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

21 citing papers in PubMed, 24 citations in OpenAlex.

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  6. Necrotizing Enterocolitis: What's New and What's Next?International journal of molecular sciences · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 5 institutions in 1 country.

Marie-Pier ThibaultLaboratory of Intestinal Physiopathology, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, QC, Canada.
Éric TremblayLaboratory of Intestinal Physiopathology, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, QC, Canada.
Chantal HorthDivision of Neonatology, Department of Pediatrics, Children's Hospital of Eastern Ontario (CHEO) and CHEO Research Institute, Ottawa, ON, Canada.
Aube Fournier-MorinLaboratory of Intestinal Physiopathology, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, QC, Canada.
David GrynspanDepartment of Pathology and Laboratory Medicine, Faculty of Medicine, University of British Colombia, Vancouver, BC, Canada.
Corentin BabakissaCentre de Recherche du Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, QC, Canada.
Emile LevyResearch Center, Centre Hospitalier Universitaire Ste-Justine, Université de Montréal, Montréal, QC, Canada.
Emanuela FerrettiDivision of Neonatology, Department of Pediatrics, Children's Hospital of Eastern Ontario (CHEO) and CHEO Research Institute, Ottawa, ON, Canada. eferretti@toh.ca.
Valérie BertelleCentre de Recherche du Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, QC, Canada. valerie.bertelle@usherbrooke.ca.
Jean-François BeaulieuLaboratory of Intestinal Physiopathology, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, QC, Canada. jean-francois.beaulieu@usherbrooke.ca.
Centre Hospitalier Universitaire de Sherbrooke · CAUniversité de Sherbrooke · CAChildren's Hospital of Eastern Ontario · CACentre Hospitalier Universitaire Sainte-Justine · CAUniversity of British Columbia · CA

Funding

CIHR MOP136991
6 · The paper itself

Abstract

backgroundNecrotizing enterocolitis (NEC) is a major challenge for premature infants in neonatal intensive care units and efforts toward the search for indicators that could be used to predict the development of the disease have given limited results until now.

methodsIn this study, stools from 132 very low birth weight infants were collected daily in the context of a multi-center prospective study aimed at investigating the potential of fecal biomarkers for NEC prediction. Eight infants (~6%) received a stage 3 NEC diagnosis. Their stools collected up to 10 days before diagnosis were included and matched with 14 non-NEC controls and tested by ELISA for the quantitation of eight biomarkers.

resultsBiomarkers were evaluated in all available stool samples leading to the identification of lipocalin-2 and calprotectin as the two most reliable predicting markers over the 10-day period prior to NEC development. Pooling the data for each infant confirmed the significance of lipocalin-2 and calprotectin, individually and in combination 1 week in advance of the NEC clinical diagnosis.

conclusionsThe lipocalin-2 and calprotectin tandem represents a significant biomarker signature for predicting NEC development. Although not yet fulfilling the "perfect biomarker" criteria, it represents a first step toward it. IMPACT: Stool biomarkers can be used to predict NEC development in very low birth weight infants more than a week before the diagnosis. LCN2 was identified as a new robust biomarker for predicting NEC development, which used in conjunction with CALPRO, allows the identification of more than half of the cases that will develop NEC in very low birth weight infants. Combining more stool markers with the LCN2/CALPRO tandem such as PGE2 can further improve the algorithm for the prediction of NEC development.

Indexed as

Infant, PrematureBiomarkersEnterocolitis, NecrotizingEnzyme-Linked Immunosorbent AssayFecesFemaleHumansInfant, NewbornIntensive Care Units, NeonatalLeukocyte L1 Antigen ComplexLipocalin-2MaleBiomarkersLCN2 protein, humanLeukocyte L1 Antigen ComplexLipocalin-2

Identifiers

PMID34465872
PMCPMC8770124
OpenAlexW3198022857

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LicenceCC BY
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Registered trials

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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.