- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05730569
Description and Comparison of Biological Vulnerability in Small Vulnerable Newborns Versus Healthy Community Controls in Urban Burkina Faso (DenBalo)
Description and Comparison of Biological Vulnerability in Small Vulnerable Newborns Versus Healthy Community Controls in Urban Burkina Faso (DenBalo): Gut Microbiota, Immune System, and Breastmilk Assembly and Development in the First Days and Weeks of Life
The aim of the DenBalo study is to apply integrated multi-omics methods to examine the biological mechanisms underlying this vulnerability in Small Vulnerable Newborns (SVNs) in LMICs, with the ultimate goal of identifying targeted interventions to reduce morbidity and mortality in this high-risk population. The evidence generated from this project will ultimately help promote healthy pregnancies and the birth of healthy babies.
To achieve this goal, three research objectives are proposed:
- To describe and compare gut microbiota, immune system and breastmilk components in SVNs versus healthy community controls in urban Burkina Faso.
- To describe and compare the development of the gut microbiota, the immune system and breastmilk components during the first six months of life in SVNs versus healthy community controls in urban Burkina Faso.
- To investigate the relationship between the composition of the gut microbiota, the immune system and breastmilk components during the first six months of life in SVNs versus healthy community controls in urban Burkina Faso.
Study Overview
Status
Detailed Description
The first days and weeks of life are characterized by a truly impressive cascade of biological processes that drive neonatal growth and development-all of which are crucial to preparing the newborn for life outside the womb.
First, vaginal delivery exposes neonates to an important natural microbial inoculum from the vaginal microbiota in labor and from the maternal intestinal microbiota at birth. Together, these early colonization events lay the foundation for gut microbiota assembly, inform the arrival of subsequent species through microbial interactions, and dictate infant microbiota maturation. A recent study has shown that a handful of bacteria begin colonizing the infant gut within the first days of life, that gut microbes accumulate gradually over time, and that pioneer strains are retained after a month of life. Whether the gut microbial assembly, maturation, and functional potential differs between SVNs versus healthy, community controls, or is coupled to growth and development, remains unresolved.
Secondly, the first days and weeks of life represent a time of heightened vulnerability to infectious disease. Neonatal infections account for a tragic 40% of mortality in children under five years of age. This critical time period is increasingly seen as a key determinant in health over the entire lifespan. A recent study using a high-dimensional, unbiased approach to characterize neonatal immune system development reported a dramatic, purposeful trajectory in the first week of life. While much remains to be explored, what is known is that early microbial colonization is vital to optimal host immune development and protection from disease and that, after birth, the most important determinant of infant gut colonization is breastfeeding. The impacts of preterm birth, low birth weight, or small for gestational age on immune development and function remain enigmatic and the mediating effect of the gut microbiome unknown.
Thirdly, neonatal nutrition plays a vital role in the two aforementioned processes-because breastfeeding both initiates tropic priming of the newborn gut and transfers numerous immunological factors to the baby. However, few studies have explored the synergy between neonatal microbiome and immunome development, and even fewer through the lens of newborn nutrition. Moreover, virtually zero studies include an integrated characterization of these processes in the SVN. Evidence suggests that, compared to mothers of full-term neonates, the colostrum from mothers of preterm newborns has higher protein and fat content, free amino acids, sodium, and bioactive milk components including HMOs, cytokines, and lactoferrin. But because few studies have evaluated the association between early milk composition and infant growth and development, it is unclear which components are most imperative for a healthy gut microbiota and a robust immune system, particularly in the SVN.
Major advances in systems biology approaches allowing for unbiased, integrated analyses of high-dimensional -omic databases have provided the critical bioinformatic toolkit required to address these questions. Indeed, the ground has never been more fertile for a step-change in commitment to high-impact research on neonatal microbiome and immunome development and the synergy with newborn nutrition.
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Trenton Dailey-Chwalibóg, MPH, PhD
- Phone Number: +33603233614
- Email: Trenton@Dailey-Chwalibog.com
Study Locations
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Bobo-Dioulasso, Burkina Faso
- Recruiting
- Agence de Formation, de Recherche et d'Expertise en Santé pour l'Afrique (AFRICSanté)
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Contact:
- Moctar Ouédraogo, MS
- Phone Number: +22670238198
- Email: obmoctar@gmail.com
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Principal Investigator:
- Laeticia C Toé, MD, MS
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Sub-Investigator:
- Lionel O Ouédraogo, MD, MS
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Sub-Investigator:
- Cheick A Ouattara, MD, MS, PhD
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Sub-Investigator:
- Moctar Ouédraogo, MS
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
INCLUSION CRITERIA
- Fundal height between 24 and 27 cm
- Woman living in the health zone of Accart-Ville, Colma 1 or Farakan
- Woman not planning to give birth or move outside the study area in the first 6 months of the infant's life
- Gestational age between 24 weeks 0 completed day and 29 weeks 6 days (ultrasound)
- Monofetal pregnancy without visible malformation
- Woman agreeing to give her informed consent to participate in the study
- Delivery of a live birth
- Vaginal birth
- Absence of severe infectious pathology, severe pneumopathy or respiratory distress in the neonate
- Neonates who did not receive corticosteroids or antibiotics at birth
For Small Vulnerable Newborns (SVNs):
- Low birth weight: <2500g; and/or,
- Preterm: born between the 34th and 37th week of pregnancy; and/or,
- Small for Gestational Age: <10 percentile of INTERGROWTH-21st birthweight standards.
For healthy community controls:
- Neonate born after the 37th week of pregnancy; and,
- Birth weight >2500g; and,
- ≥10 percentile of INTERGROWTH-21st birthweight standards; and,
- Possible match with a SVN neonate already recruited into the study.
EXCLUSION CRITERIA
- Fundal height <24 cm or >27 cm
- Woman living outside the sanitary zone of the Accart-Ville, Colma 1 or Farakan
- Woman planning to give birth outside the study area or to move from it within the first 6 months of the infants's life
- Gestational age <24 weeks or ≥30 weeks (ultrasound)
- Multi-fetal pregnancy
- Malformation visible on ultrasound
- Cesarean delivery
- Neonate with severe infectious disease, severe pneumopathy or respiratory distress
- Neonate who received corticosteroids or antibiotics just after birth
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
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Small Vulnerable Newborns
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Healthy Community Controls
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Differential abundances of bacterial genera in the infant gut microbiota
Time Frame: to be assessed at on days 3, 7, 14, 30, 60, 180 of life
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Shotgun metagenomic sequencing
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to be assessed at on days 3, 7, 14, 30, 60, 180 of life
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Infant plasma chemokine and cytokine analyses
Time Frame: to be assessed at birth and on days 1, 3, 5, 7, 30, 60 of life
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Electrochemiluminescence and the MSD V-PLEX Human Biomarker 54-Plex Kit
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to be assessed at birth and on days 1, 3, 5, 7, 30, 60 of life
|
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Infant gut microbiota α and β diversity
Time Frame: to be assessed at on days 3, 7, 14, 30, 60, 180 of life
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Shotgun metagenomic sequencing
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to be assessed at on days 3, 7, 14, 30, 60, 180 of life
|
|
Infant plasma immunophenotyping
Time Frame: to be assessed at birth and on days 1, 3, 5, 7, 30, 60 of life
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Flow cytometry
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to be assessed at birth and on days 1, 3, 5, 7, 30, 60 of life
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Maternal breastmilk component* profiling
Time Frame: on days 3, 7, 14, 30, 60 of life
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*Components include macronutrients, micronutrients, oligosaccharides, growth factors, immunoglobulins, cytokines, metabolites, microbes, and proteins.
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on days 3, 7, 14, 30, 60 of life
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Other Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Differential abundance of bacterial populations of pregnant or lactating woman (PLW) fecal microbiota
Time Frame: to be assessed within 28-30 weeks of gestation, within 33-34 weeks of gestation, on days 7, 14, 30, 60 and 180 of life
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Shotgun metagenomic sequencing
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to be assessed within 28-30 weeks of gestation, within 33-34 weeks of gestation, on days 7, 14, 30, 60 and 180 of life
|
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PLW Infant fecal microbiota α and β diversity
Time Frame: to be assessed within 28-30 weeks of gestation, within 33-34 weeks of gestation, on days 7, 14, 30, 60 and 180 of life
|
Shotgun metagenomic sequencing
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to be assessed within 28-30 weeks of gestation, within 33-34 weeks of gestation, on days 7, 14, 30, 60 and 180 of life
|
|
PLW fecal enteropathogens
Time Frame: to be assessed within 28-30 weeks of gestation, within 33-34 weeks of gestation, on days 30 and 180 of life
|
TaqMan Array Card (TAC) qPCR to detect 62 infection targets of interest, including viruses, bacteria, protozoa and helminths.
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to be assessed within 28-30 weeks of gestation, within 33-34 weeks of gestation, on days 30 and 180 of life
|
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Infant fecal enteropathogens
Time Frame: to be assessed within 28-30 weeks of gestation, within 33-34 weeks of gestation, on days 30 and 180 of life
|
TaqMan Array Card (TAC) qPCR to detect 62 infection targets of interest, including viruses, bacteria, protozoa and helminths.
|
to be assessed within 28-30 weeks of gestation, within 33-34 weeks of gestation, on days 30 and 180 of life
|
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Maternal plasma chemokine and cytokine analyses
Time Frame: to be assessed at birth
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Electrochemiluminescence and the MSD V-PLEX Human Biomarker 54-Plex Kit
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to be assessed at birth
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Black carbon exposure in umbilical cord arterial blood
Time Frame: to be assessed at birth
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White-light generation under femtosecond pulsed illumination
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to be assessed at birth
|
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Placental DNA adductiomics
Time Frame: to be assessed at birth
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Hybrid Quadrupole Orbitrap MS (Q-Exactive™) high-resolution mass spectrometry (HRMS)
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to be assessed at birth
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Relative telomere length (TL) in umbilical cord arterial blood
Time Frame: to be assessed at birth
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qPCR
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to be assessed at birth
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Infant untargeted metabolomics on capillary whole blood
Time Frame: to be assessed at birth, on days 1, 3, 5, 7, 14, 30 and 60 of life
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Modified Agilent RapidFire 360 sample injector coupled to a high-resolution Agilent 6545B liquid chromatography Quadrupole Time-of-Flight (LC/Q-TOF) next-generation rapid liquid chromatography-mass spectrometry (rLC-MS)
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to be assessed at birth, on days 1, 3, 5, 7, 14, 30 and 60 of life
|
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Infant untargeted plasma proteomics
Time Frame: to be assessed at birth, on days 1, 3, 5, 7, 14, 30 and 60 of life
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Harmonized Orbitrap Exploris™ liquid chromatography-mass spectrometry (LC-MS)
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to be assessed at birth, on days 1, 3, 5, 7, 14, 30 and 60 of life
|
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Infant multiple mycotoxin profiling on capillary whole blood
Time Frame: to be assessed at birth, on days 7, and 14 of life
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Liquid Chromatography Tandem Mass Spectrometry (LC-MS/MS)
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to be assessed at birth, on days 7, and 14 of life
|
|
Maternal untargeted capillary whole blood metabolomics
Time Frame: to be assessed at birth
|
Modified Agilent RapidFire 360 sample injector coupled to a high-resolution Agilent 6545B liquid chromatography Quadrupole Time-of-Flight (LC/Q-TOF) next-generation rapid liquid chromatography-mass spectrometry (rLC-MS)
|
to be assessed at birth
|
|
Maternal untargeted plasma proteomics
Time Frame: to be assessed at birth
|
Harmonized Orbitrap Exploris™ liquid chromatography-mass spectrometry (LC-MS)
|
to be assessed at birth
|
|
Maternal multiple mycotoxin profiling on capillary whole blood
Time Frame: to be assessed at birth
|
Liquid Chromatography Tandem Mass Spectrometry (LC-MS/MS)
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to be assessed at birth
|
|
Breastmilk volume intake
Time Frame: to be assessed on days 1, 3, 4, 13 and 14 of life
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"Dose-to-mother" deuterium oxide dilution
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to be assessed on days 1, 3, 4, 13 and 14 of life
|
|
Maternal plasma immunophenotyping
Time Frame: to be assessed at birth
|
Flow cytometry
|
to be assessed at birth
|
|
PLW shotgun vaginal metagenomics
Time Frame: to be assessed 29-30 weeks of gestation, 33-34 weeks of gestation and at birth
|
Shotgun metagenomic sequencing
|
to be assessed 29-30 weeks of gestation, 33-34 weeks of gestation and at birth
|
|
Differential abundances of bacterial genera in the infant gut microbiota
Time Frame: to be assessed at birth and on days 1, 2, 4, 5, 6 of life
|
Shotgun metagenomic sequencing
|
to be assessed at birth and on days 1, 2, 4, 5, 6 of life
|
|
Infant gut microbiota α and β diversity
Time Frame: to be assessed at birth and on days 1, 2, 4, 5, 6 of life
|
Shotgun metagenomic sequencing
|
to be assessed at birth and on days 1, 2, 4, 5, 6 of life
|
|
Maternal breastmilk component* profiling
Time Frame: to be assessed at birth and on days 1, 3, 5 of life
|
Shotgun metagenomic sequencing
|
to be assessed at birth and on days 1, 3, 5 of life
|
|
Vaginal cytokines
Time Frame: to be assessed at 29-30 weeks of gestation
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Multi-plex assay
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to be assessed at 29-30 weeks of gestation
|
Collaborators and Investigators
Sponsor
Collaborators
Investigators
- Principal Investigator: Trenton Dailey-Chwalibóg, MPH, PhD, University Ghent
- Principal Investigator: Carl Lachat, MEng, PhD, University Ghent
Publications and helpful links
General Publications
- Melville JM, Moss TJ. The immune consequences of preterm birth. Front Neurosci. 2013 May 21;7:79. doi: 10.3389/fnins.2013.00079. eCollection 2013.
- Makino H, Kushiro A, Ishikawa E, Muylaert D, Kubota H, Sakai T, Oishi K, Martin R, Ben Amor K, Oozeer R, Knol J, Tanaka R. Transmission of intestinal Bifidobacterium longum subsp. longum strains from mother to infant, determined by multilocus sequencing typing and amplified fragment length polymorphism. Appl Environ Microbiol. 2011 Oct;77(19):6788-93. doi: 10.1128/AEM.05346-11. Epub 2011 Aug 5.
- Bennike TB, Fatou B, Angelidou A, Diray-Arce J, Falsafi R, Ford R, Gill EE, van Haren SD, Idoko OT, Lee AH, Ben-Othman R, Pomat WS, Shannon CP, Smolen KK, Tebbutt SJ, Ozonoff A, Richmond PC, van den Biggelaar AHJ, Hancock REW, Kampmann B, Kollmann TR, Levy O, Steen H. Preparing for Life: Plasma Proteome Changes and Immune System Development During the First Week of Human Life. Front Immunol. 2020 Oct 20;11:578505. doi: 10.3389/fimmu.2020.578505. eCollection 2020.
- Bhutta ZA, Black RE. Global maternal, newborn, and child health--so near and yet so far. N Engl J Med. 2013 Dec 5;369(23):2226-35. doi: 10.1056/NEJMra1111853. No abstract available.
- Bittinger K, Zhao C, Li Y, Ford E, Friedman ES, Ni J, Kulkarni CV, Cai J, Tian Y, Liu Q, Patterson AD, Sarkar D, Chan SHJ, Maranas C, Saha-Shah A, Lund P, Garcia BA, Mattei LM, Gerber JS, Elovitz MA, Kelly A, DeRusso P, Kim D, Hofstaedter CE, Goulian M, Li H, Bushman FD, Zemel BS, Wu GD. Bacterial colonization reprograms the neonatal gut metabolome. Nat Microbiol. 2020 Jun;5(6):838-847. doi: 10.1038/s41564-020-0694-0. Epub 2020 Apr 13.
- Bode L. Human milk oligosaccharides: every baby needs a sugar mama. Glycobiology. 2012 Sep;22(9):1147-62. doi: 10.1093/glycob/cws074. Epub 2012 Apr 18.
- Chu H, Mazmanian SK. Innate immune recognition of the microbiota promotes host-microbial symbiosis. Nat Immunol. 2013 Jul;14(7):668-75. doi: 10.1038/ni.2635.
- Funkhouser LJ, Bordenstein SR. Mom knows best: the universality of maternal microbial transmission. PLoS Biol. 2013;11(8):e1001631. doi: 10.1371/journal.pbio.1001631. Epub 2013 Aug 20.
- Granger CL, Embleton ND, Palmer JM, Lamb CA, Berrington JE, Stewart CJ. Maternal breastmilk, infant gut microbiome and the impact on preterm infant health. Acta Paediatr. 2021 Feb;110(2):450-457. doi: 10.1111/apa.15534. Epub 2020 Sep 16.
- Jost T, Lacroix C, Braegger CP, Rochat F, Chassard C. Vertical mother-neonate transfer of maternal gut bacteria via breastfeeding. Environ Microbiol. 2014 Sep;16(9):2891-904. doi: 10.1111/1462-2920.12238. Epub 2013 Sep 3.
- Kollmann TR, Kampmann B, Mazmanian SK, Marchant A, Levy O. Protecting the Newborn and Young Infant from Infectious Diseases: Lessons from Immune Ontogeny. Immunity. 2017 Mar 21;46(3):350-363. doi: 10.1016/j.immuni.2017.03.009.
- Lee AH, Shannon CP, Amenyogbe N, Bennike TB, Diray-Arce J, Idoko OT, Gill EE, Ben-Othman R, Pomat WS, van Haren SD, Cao KL, Cox M, Darboe A, Falsafi R, Ferrari D, Harbeson DJ, He D, Bing C, Hinshaw SJ, Ndure J, Njie-Jobe J, Pettengill MA, Richmond PC, Ford R, Saleu G, Masiria G, Matlam JP, Kirarock W, Roberts E, Malek M, Sanchez-Schmitz G, Singh A, Angelidou A, Smolen KK; EPIC Consortium; Brinkman RR, Ozonoff A, Hancock REW, van den Biggelaar AHJ, Steen H, Tebbutt SJ, Kampmann B, Levy O, Kollmann TR. Dynamic molecular changes during the first week of human life follow a robust developmental trajectory. Nat Commun. 2019 Mar 12;10(1):1092. doi: 10.1038/s41467-019-08794-x.
- Ma J, Li Z, Zhang W, Zhang C, Zhang Y, Mei H, Zhuo N, Wang H, Wang L, Wu D. Comparison of gut microbiota in exclusively breast-fed and formula-fed babies: a study of 91 term infants. Sci Rep. 2020 Sep 25;10(1):15792. doi: 10.1038/s41598-020-72635-x.
- Makino H, Kushiro A, Ishikawa E, Kubota H, Gawad A, Sakai T, Oishi K, Martin R, Ben-Amor K, Knol J, Tanaka R. Mother-to-infant transmission of intestinal bifidobacterial strains has an impact on the early development of vaginally delivered infant's microbiota. PLoS One. 2013 Nov 14;8(11):e78331. doi: 10.1371/journal.pone.0078331. eCollection 2013.
- Mueller NT, Shin H, Pizoni A, Werlang IC, Matte U, Goldani MZ, Goldani HAS, Dominguez-Bello MG. Delivery Mode and the Transition of Pioneering Gut-Microbiota Structure, Composition and Predicted Metabolic Function. Genes (Basel). 2017 Dec 4;8(12):364. doi: 10.3390/genes8120364.
- Nayak S, Welling J, Burd I. Maternal Immunomodulation Therapy for Prevention of Preterm Birth and Prematurity-Related Morbidity: The New Era of Immuno-Perinatology. Curr Pharm Des. 2017;23(40):6125-6131. doi: 10.2174/1381612823666170926102615.
- Underwood MA. Human milk for the premature infant. Pediatr Clin North Am. 2013 Feb;60(1):189-207. doi: 10.1016/j.pcl.2012.09.008. Epub 2012 Oct 18.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- ONZ-2022-0500 (Commission for Medical Ethics (CME), Ghent University (UGent) and Ghent University Hospital (UZGent))
- INV-035474 & INV-036154 (Other Grant/Funding Number: Bill & Melinda Gates Foundation)
- 050-2022/CEIRES (Other Identifier: Comité d'Éthique Institutionnel pour la Recherche en Sciences de la Santé)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
All the data collected during the DenBalo study will be pseudonymised (i.e., identifable data can still be linked to patient files by means of a code) and the key to the codes will only be accessible to the principal investigators, or his/her representative.
The collected pseudonymised data as well as the collected biological samples can be shared with other (future) researchers for future research projects and studies, exclusively in the context of the same disease/pathology or similar (i.e., in the interest of research on maternal, newborn and child health). This will be done within a strictly legal framework and in compliance with international laws on the protection of personal data.
Only anonymized data will be used in any type of documentation, reports or publications (in the medical scientific literature and/or at medical conferences).
Personal patient data will be stored for at least 25 years after the end of the study.
IPD Sharing Time Frame
IPD Sharing Access Criteria
IPD Sharing Supporting Information Type
- STUDY_PROTOCOL
- SAP
- ICF
- ANALYTIC_CODE
- CSR
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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