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      Assessment of Neonatal Intensive Care Unit Practices and Preterm Newborn Gut Microbiota and 2-Year Neurodevelopmental Outcomes

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          Key Points

          Question

          What are the long-term outcomes associated with dysbiosis of gut microbiota in very preterm newborns?

          Findings

          In this cohort study of 577 very preterm newborns across 24 neonatal intensive care units from a French nationwide cohort, gut microbiota at week 4 after birth showed 6 bacterial patterns that varied according to gestational age, perinatal characteristics, individual treatments, and neonatal intensive care unit strategies. Three clusters were associated with 2-year outcomes after adjustment for these confounders.

          Meaning

          Modifying strategies associated with alterations in microbiota, such as promoting enteral nutrition, reducing sedation use, promoting early extubation, or skin-to-skin practice, may be correlated with outcomes in preterm newborns.

          Abstract

          Importance

          In very preterm newborns, gut microbiota is highly variable with major dysbiosis. Its association with short-term health is widely studied, but the association with long-term outcomes remains unknown.

          Objective

          To investigate in preterm newborns the associations among practice strategies in neonatal intensive care units (NICUs), gut microbiota, and outcomes at 2 years.

          Design, Setting, and Participants

          EPIFLORE is a prospective observational cohort study that includes a stool sample collection during the fourth week after birth. Preterm newborns of less than 32 weeks of gestational age (GA) born in 2011 were included from 24 NICUs as part of the French nationwide population-based cohort, EPIPAGE 2. Data were collected from May 2011 to December 2011 and analyzed from September 2016 to December 2018.

          Exposures

          Eight NICU strategies concerning sedation, ventilation, skin-to-skin practice, antibiotherapy, ductus arteriosus, and breastfeeding were assessed. A NICU was considered favorable to a practice if the percentage of that practice in the NICU was more than the expected percentage.

          Main Outcomes and Measures

          Gut microbiota was analyzed by 16S ribosomal RNA gene sequencing and characterized by a clustering-based method. The 2-year outcome was defined by death or neurodevelopmental delay using a Global Ages and Stages questionnaire score.

          Results

          Of 577 newborns included in the study, the mean (SD) GA was 28.3 (2.0) weeks, and 303 (52.5%) were male. Collected gut microbiota was grouped into 5 discrete clusters. A sixth cluster included nonamplifiable samples owing to low bacterial load. Cluster 4 (driven by Enterococcus [n = 63]), cluster 5 (driven by Staphylococcus [n = 52]), and cluster 6 (n = 93) were significantly associated with lower mean (SD) GA (26.7 [1.8] weeks and 26.8 [1.9] weeks, respectively) and cluster 3 (driven by Escherichia/Shigella [n = 61]) with higher mean (SD) GA (29.4 [1.6] weeks; P = .001). Cluster 3 was considered the reference. After adjustment for confounders, no assisted ventilation at day 1 was associated with a decreased risk of belonging to cluster 5 or cluster 6 (adjusted odds ratio [AOR], 0.21 [95% CI, 0.06-0.78] and 0.19 [95% CI, 0.06-0.62], respectively) when sedation (AOR, 10.55 [95% CI, 2.28-48.87] and 4.62 [1.32-16.18], respectively) and low volume of enteral nutrition (AOR, 10.48 [95% CI, 2.48-44.29] and 7.28 [95% CI, 2.03-26.18], respectively) was associated with an increased risk. Skin-to-skin practice was associated with a decreased risk of being in cluster 5 (AOR, 0.14 [95% CI, 0.04-0.48]). Moreover, clusters 4, 5, 6 were significantly associated with 2-year nonoptimal outcome (AOR, 6.17 [95% CI, 1.46-26.0]; AOR, 4.53 [95% CI, 1.02-20.1]; and AOR, 5.42 [95% CI, 1.36-21.6], respectively).

          Conclusions and Relevance

          Gut microbiota of very preterm newborns at week 4 is associated with NICU practices and 2-year outcomes. Microbiota could be a noninvasive biomarker of immaturity.

          Abstract

          This cohort study of 577 very preterm newborns across 24 neonatal intensive care units from a French nationwide cohort investigates associations among practice strategies, gut microbiota, and outcomes at 2 years.

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          Most cited references25

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          Neurodevelopmental outcome at 2 years for preterm children born at 22 to 34 weeks’ gestation in France in 2011: EPIPAGE-2 cohort study

          Objectives To describe neurodevelopmental outcomes at 2 years corrected age for children born alive at 22-26, 27-31, and 32-34 weeks’ gestation in 2011, and to evaluate changes since 1997. Design Population based cohort studies, EPIPAGE and EPIPAGE-2. Setting France. Participants 5567 neonates born alive in 2011 at 22-34 completed weeks’ gestation, with 4199 survivors at 2 years corrected age included in follow-up. Comparison of outcomes reported for 3334 (1997) and 2418 (2011) neonates born alive in the nine regions participating in both studies. Main outcome measures Survival; cerebral palsy (2000 European consensus definition); scores below threshold on the neurodevelopmental Ages and Stages Questionnaire (ASQ; at least one of five domains below threshold) if completed between 22 and 26 months corrected age, in children without cerebral palsy, blindness, or deafness; and survival without severe or moderate neuromotor or sensory disabilities (cerebral palsy with Gross Motor Function Classification System levels 2-5, unilateral or bilateral blindness or deafness). Results are given as percentage of outcome measures with 95% confidence intervals. Results Among 5170 liveborn neonates with parental consent, survival at 2 years corrected age was 51.7% (95% confidence interval 48.6% to 54.7%) at 22-26 weeks’ gestation, 93.1% (92.1% to 94.0%) at 27-31 weeks’ gestation, and 98.6% (97.8% to 99.2%) at 32-34 weeks’ gestation. Only one infant born at 22-23 weeks survived. Data on cerebral palsy were available for 3599 infants (81.0% of the eligible population). The overall rate of cerebral palsy at 24-26, 27-31, and 32-34 weeks’ gestation was 6.9% (4.7% to 9.6%), 4.3% (3.5% to 5.2%), and 1.0% (0.5% to 1.9%), respectively. Responses to the ASQ were analysed for 2506 children (56.4% of the eligible population). The proportion of children with an ASQ result below threshold at 24-26, 27-31, and 32-34 weeks’ gestation were 50.2% (44.5% to 55.8%), 40.7% (38.3% to 43.2%), and 36.2% (32.4% to 40.1%), respectively. Survival without severe or moderate neuromotor or sensory disabilities among live births increased between 1997 and 2011, from 45.5% (39.2% to 51.8%) to 62.3% (57.1% to 67.5%) at 25-26 weeks’ gestation, but no change was observed at 22-24 weeks’ gestation. At 32-34 weeks’ gestation, there was a non-statistically significant increase in survival without severe or moderate neuromotor or sensory disabilities (P=0.61), but the proportion of survivors with cerebral palsy declined (P=0.01). Conclusions In this large cohort of preterm infants, rates of survival and survival without severe or moderate neuromotor or sensory disabilities have increased during the past two decades, but these children remain at high risk of developmental delay.
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            A key genetic factor for fucosyllactose utilization affects infant gut microbiota development

            Recent studies have demonstrated that gut microbiota development influences infants' health and subsequent host physiology. However, the factors shaping the development of the microbiota remain poorly understood, and the mechanisms through which these factors affect gut metabolite profiles have not been extensively investigated. Here we analyse gut microbiota development of 27 infants during the first month of life. We find three distinct clusters that transition towards Bifidobacteriaceae-dominant microbiota. We observe considerable differences in human milk oligosaccharide utilization among infant bifidobacteria. Colonization of fucosyllactose (FL)-utilizing bifidobacteria is associated with altered metabolite profiles and microbiota compositions, which have been previously shown to affect infant health. Genome analysis of infants' bifidobacteria reveals an ABC transporter as a key genetic factor for FL utilization. Thus, the ability of bifidobacteria to utilize FL and the presence of FL in breast milk may affect the development of the gut microbiota in infants, and might ultimately have therapeutic implications.
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              Development of the preterm infant gut microbiome: a research priority

              The very low birth weight (VLBW) infant is at great risk for marked dysbiosis of the gut microbiome due to multiple factors, including physiological immaturity and prenatal/postnatal influences that disrupt the development of a normal gut flora. However, little is known about the developmental succession of the microbiota in preterm infants as they grow and mature. This review provides a synthesis of our understanding of the normal development of the infant gut microbiome and contrasts this with dysbiotic development in the VLBW infant. The role of human milk in normal gut microbial development is emphasized, along with the role of the gut microbiome in immune development and gastroenteric health. Current research provides evidence that the gut microbiome interacts extensively with many physiological systems and metabolic processes in the developing infant. However, to the best of our knowledge, there are currently no studies prospectively mapping the gut microbiome of VLBW infants through early childhood. This knowledge gap must be filled to inform a healthcare system that can provide for the growth, health, and development of VLBW infants. The paper concludes with speculation about how the VLBW infants’ gut microbiome might function through host-microbe interactions to contribute to the sequelae of preterm birth, including its influence on growth, development, and general health of the infant host.
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                Author and article information

                Journal
                JAMA Netw Open
                JAMA Netw Open
                JAMA Netw Open
                JAMA Network Open
                American Medical Association
                2574-3805
                23 September 2020
                September 2020
                23 September 2020
                : 3
                : 9
                : e2018119
                Affiliations
                [1 ]Neonatal Department, INSERM-CHU Clinical Investigation Center 1413, et UMR- INRA 1280, Physiologie des Adaptations Nutritionnelles, Nantes University Hospital, Nantes, France
                [2 ]Université de Paris, Center for Epidemiology and Statistics/CRESS U1153/EPOPé Team, Paris, France
                [3 ]Clinical Investigation Center P1419, Assistance Publique-Hôpitaux de Paris, Paris, France
                [4 ]UMR-S INSERM U1139, Faculté de Pharmacie, Université de Paris, Paris, France
                [5 ]PremUp Foundation, Paris, France
                [6 ]Microbiology Department, AP-HP Hôpital Saint-Louis, Paris, France
                [7 ]Service des Urgences, Nantes University Hospital, Nantes, France
                [8 ]Micalis Institute, INRA, AgroParisTech, University Paris-Saclay, Paris, France
                [9 ]Neonatal Department, Hospices Civils de Lyon, Lyon, France
                [10 ]Biostatistics and Medical Information Department, AP-HP Hôpital Saint-Louis, Paris, France
                [11 ]College of Medicine, University of Florida, Gainesville, Florida
                Author notes
                Article Information
                Accepted for Publication: June 30, 2020.
                Published: September 23, 2020. doi:10.1001/jamanetworkopen.2020.18119
                Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2020 Rozé J-C et al. JAMA Network Open.
                Corresponding Author: Jean-Christophe Rozé, MD, PhD, Department of Neonatal Medicine, University Hospital of Nantes, 36 boulevard Jean Monnet, 44093 Nantes, France ( jean-christophe.roze@ 123456inserm.fr ).
                Author Contributions: Dr Rozé had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. Drs Lepage and Butel contributed equally to the study.
                Concept and design: Rozé, Ancel, Lepage, Butel.
                Acquisition, analysis, or interpretation of data: All authors.
                Drafting of the manuscript: Rozé, Rousseau, Monot, Le Roux, Aires, Lepage, Butel.
                Critical revision of the manuscript for important intellectual content: Ancel, Marchand-Martin, Montassier, Butin, Resche-Rigon, Neu, Butel.
                Statistical analysis: Rozé, Ancel, Marchand-Martin, Rousseau, Montassier, Resche-Rigon, Lepage.
                Obtained funding: Rozé, Ancel, Lepage, Butel.
                Administrative, technical, or material support: Ancel, Monot, Le Roux, Butel.
                Supervision: Rozé, Neu, Lepage, Butel.
                Conflict of Interest Disclosures: Dr Rozé reports receiving grants from the French National Agency for Research and the Nestec Research Center during the conduct of the study. Dr Rousseau reports receiving grants from the Nestec Research Center and the French National Agency for Research during the conduct of the study. Dr Neu is the principal investigator of a phase 3 multicenter trial of a microbial agent being studied by Infant Bacterial Therapeutics for the prevention of neonatal necrotizing enterocolitis and improvement of feeding tolerance in preterm infants. Dr Butel reports receiving grants from the French National Agency for Research and the Nestec Research Center during the conduct of the study, as well as consulting fees from Danone and grants from Biostime Institute for Nutrition and Care and Mead Johnson outside of the submitted work. No other disclosures were reported.
                Funding/Support: This study was funded by the French National Agency for Research (ANR-12-BSV3-0025) in 2012, as well as the Nestec Research Center for the constitution of the collection of stools during EPIPAGE 2.
                Role of the Funder/Sponsor: The funders had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
                The EPIFLORE Study Group: The members of the group include: Marie-Jose Butel, PharmD, PhD, Julio Aires, PhD, Clotilde Rousseau, PharmD, PhD, and Johanne Delannoy (Federation of University Hospital, PREMA, UMR-S 1139, Faculty of Pharmacy, INSERM and Paris Descartes University); Patricia Lepage, PhD, Joel Dore, PhD, Ziad Al Nabhani, PhD, Karine Le Roux, and Celine Monot (INRA, UMR 1319 MICALIS); Jean-Christophe Roze, MD, PhD (Department of Neonatal Medicine, Nantes University Hospital); Pierre-Yves Ancel, MD, PhD, Laetitia Martin-Marchand, and Melanie Durox (INSERM, U1153, Obstetrical, Perinatal and Pediatric Epidemiology Team, Epidemiology and Biostatistics Sorbonne); Alexandre Lapillonne, MD, PhD (Department of Neonatal Medicine, Assistance Publique Hopitaux de Paris, Necker Enfants Malades Hospital); Jean-Charles Picaud, MD, PhD (Department of Neonatal Medicine, Hopital de la Croix-Rousse, Hospices Civils de Lyon); Farid Boudred, MD, PhD (Department of Neonatology, Faculte de Medecine, Aix-Marseille Universite); Delphine Mitanchez, MD, PhD (Division of Neonatology, Department of Perinatology, Armand Trousseau Hospital); Valerie Biran (Department of Neonatalogy, Université Paris 7, Robert-Debre Hospital, Assistance Publique Hopitaux de Paris); Laurent Storme, MD, PhD (Department of Neonatal Medicine, Lille University Hospital); Olivier Claris, MD, PhD (Mothers and Children Hospital, Hospices Civils de Lyon); Gilles Cambonie, MD, PhD (Department of Neonatal Medicine, Montpellier University Hospital); Cyril Flamant, MD, PhD (Department of Neonatal Medicine, Nantes University Hospital); Anne Sauret, MD (Department of Neonatal Medicine, Rennes University Hospital); Odile Dicky, MD (Department of Neonatal Medicine, Toulouse University Hospital); Geraldine Favrais, MD, PhD (Department of Neonatalogy, Tours University Hospital); Jean-Michel Hascoet, MD, PhD (Department of Neonatal Medicine, Nancy University Hospital); Geraldine Gascoin (Department of Neonatal Medicine, Angers University Hospital); Gerard Thiriez, MD, PhD (Department of Pediatrics, Besancon University Hospital); Luc Desfrere, MD, PhD (Department of Neonatal Medicine, Louis Mourier Hospital, Assistance Publique Hopitaux de Paris); Xavier Durrmeyer, MD, PhD (Department of Neonatal Medicine, Centre Hospitalier Intercommunal); and Clement Chollat, MD (Department of Neonatal Medicine, Cochin University Hospital).
                Additional Contributions: We are grateful to Johanne Delannoy, BS, for her technical support and to the Inra Migale bioinformatics platform for providing computational resources. We also thank the Genotoul Get-PlaGe sequencing platform. No compensation was provided.
                Additional Information: Data are available from the corresponding author. 16S rRNA gene reads are publicly available from the National Center for Biotechnology Information Sequence Read Archive under Bioproject accession number PRJNA641157.
                Article
                zoi200650
                10.1001/jamanetworkopen.2020.18119
                7512059
                32965499
                3363cf77-2848-4ba8-8296-ea151ab175b3
                Copyright 2020 Rozé J-C et al. JAMA Network Open.

                This is an open access article distributed under the terms of the CC-BY License.

                History
                : 20 February 2020
                : 30 June 2020
                Categories
                Research
                Original Investigation
                Online Only
                Pediatrics

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