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Investigating colonization patterns of the infant gut microbiome during the introduction of solid food and weaning from breastmilk: A cohort study protocol

  • Sara Dizzell,

    Roles Methodology, Writing – original draft

    Affiliation Department of Obstetrics & Gynecology, McMaster University, Hamilton, Ontario, Canada

  • Jennifer C. Stearns,

    Roles Conceptualization, Funding acquisition, Methodology, Writing – review & editing

    Affiliations Department of Medicine, McMaster University, Hamilton, Ontario, Canada, Farncombe Family Digestive Health Research Institute, McMaster University, Hamilton, Ontario, Canada

  • Jenifer Li,

    Roles Methodology, Writing – review & editing

    Affiliations Department of Obstetrics & Gynecology, McMaster University, Hamilton, Ontario, Canada, McMaster Midwifery Research Centre, McMaster University, Hamilton, Ontario, Canada

  • Niels van Best,

    Roles Conceptualization, Methodology

    Affiliations School of Nutrition and Translational Research in Metabolism (NUTRIM), Department of Medical Microbiology, Maastricht University Medical Centre, Maastricht, The Netherlands, Institute of Medical Microbiology, RWTH University Hospital Aachen, RWTH University, Aachen, Germany, Vivo Planetary Health: An Affiliate of the World Universities Network (WUN), West New York, New Jersey, United States of America

  • Liene Bervoets,

    Roles Conceptualization, Methodology

    Affiliation School of Nutrition and Translational Research in Metabolism (NUTRIM), Department of Medical Microbiology, Maastricht University Medical Centre, Maastricht, The Netherlands

  • Monique Mommers,

    Roles Conceptualization, Funding acquisition, Methodology

    Affiliation Department of Epidemiology, Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, The Netherlands

  • John Penders,

    Roles Conceptualization, Funding acquisition, Methodology

    Affiliations School of Nutrition and Translational Research in Metabolism (NUTRIM), Department of Medical Microbiology, Maastricht University Medical Centre, Maastricht, The Netherlands, Vivo Planetary Health: An Affiliate of the World Universities Network (WUN), West New York, New Jersey, United States of America, School for Public Health and Primary Care (Caphri), Department of Medical Microbiology, Maastricht University Medical Centre, Maastricht, The Netherlands

  • Katherine M. Morrison,

    Roles Conceptualization, Funding acquisition, Methodology, Writing – review & editing

    Affiliations Department of Pediatrics, McMaster University, Hamilton, Ontario, Canada, Centre for Metabolism, Obesity and Diabetes Research, McMaster University, Hamilton, Ontario, Canada

  • Eileen K. Hutton ,

    Roles Conceptualization, Funding acquisition, Methodology, Writing – review & editing

    huttone@mcmaster.ca

    Affiliations Department of Obstetrics & Gynecology, McMaster University, Hamilton, Ontario, Canada, McMaster Midwifery Research Centre, McMaster University, Hamilton, Ontario, Canada

  • on behalf of the GI-MDH Consortium Partners

    Membership of the GI-MDH Consortium Partners is provided in the Acknowledgments. The lead author for this group is Dr. Eileen K Hutton.

Abstract

The first exposures to microbes occur during infancy and it is suggested that this initial colonization influences the adult microbiota composition. Despite the important role that the gut microbiome may have in health outcomes later in life, the factors that influence its development during infancy and early childhood have not been characterized fully. Guidelines about the introduction of solid foods and cessation of breastfeeding, which is thought to have a significant role in the transition to a more adult-like microbiota, are not based on microbiome research. There is even less understanding of approaches used to transition to solid food in the preterm population. The purpose of this study is to identify the impact of early life dietary events on gut microbiome community structures and function among infants born at term and pre-term. We plan to prospectively monitor the gut microbiome of infants during two critical timepoints in microbial development: the introduction of solid foods and cessation from breastmilk. A total of 35 participants from three primary observational birth cohorts (two full-term cohorts and one pre-term cohort) will be enrolled in this sub-study. Participants will be asked to collect stool samples and fill out a study diary before, during and after the introduction of solids and again during weaning from breastmilk. We will use frequent fecal sampling analyzed using 16S rRNA gene profiling, metagenomics, metabolomics, and targeted bacterial culturing to identify and characterize the microbial communities, as well as provide insight into the phenotypic characteristics and functional capabilities of the microbes present during these transitional periods of infancy. This study will provide a comprehensive approach to detailing the effects of dietary transition from breastmilk to a more adult-like solid food diet on the microbiome and in doing so will contribute to evidence-based infant nutrition guidance.

Introduction

The human gut contains the most diverse and dense microbiome in the body and is emerging as an important predictor of health and disease in humans [1, 2]. This complex ecosystem is the core of extensive research, and roles in metabolic function, digestion, physiology and immunological processes have been identified [35]. An altered or imbalanced microbiome has been associated with local gastrointestinal issues such as irritable bowel disease (IBD) and inflammatory bowel syndrome (IBS), and broader more systemic diseases such as obesity, type II diabetes, rheumatoid arthritis, and atopy [69]. The gut microbiome of healthy adults is considered to be relatively stable, however it may be transiently altered by perturbations such as antibiotic use, changes in diet, or infection [1013]. In contrast, the infant gut microbiome is much less stable with fewer species and a higher proportion of Bifidobacterium [14, 15]. Despite the importance of a healthy gut microbiome for health, the factors that influence its development during infancy and early childhood have not been characterized fully.

Microbial changes that occur during infancy are influenced by numerous pre-natal, neonatal, and post-natal factors. These factors include, but are not limited to mode of delivery, gestational age, introduction of solid foods, breastmilk compared to formula feeding, weaning, geographical location, family member interactions and maternal diet [16, 17]. Exposure to the maternal vaginal and rectal microbiota during birth along with maternal skin and breastmilk allow for rapid colonization during the first hours and days of life [16, 18]. Because of both maturity of the infant system and vastly different neonatal experiences, these influences are likely to be different for infants born pre-term (prior to 37 weeks gestation). The pre-term infant is at increased risk for disruption in the normal development of the gut microbiome for a number of reasons including longer hospital stays, exposure to oral feeding at a more biologically immature state, higher proportion of formula feedings, and increased exposure to antibiotics. In combination with the delayed establishment of the gut microbiota in pre-term infants, it is suggested that the pre-term microbiota is less stable in comparison to full-term infants, which may contribute to the abundance of health issues observed in this population [19, 20]. Previous studies comparing the gut microbiota of pre-term and full-term infants have observed that there were fewer commensal anaerobes, such as Bifidobacterium and Bacteroides, and more opportunisitic pathogens such as Enterobacteriaceae and Enterococcus in pre-term infants [2126].

Bacterial communities in the infant gut begin to resemble those of adults between 1 and 3 years of age [18, 2731]. The ecological transition of the bacterial composition in the infant gut toward a more adult-like microbiota is thought to start around the time of introduction of solid foods, when a significant increase in microbial diversity and abundance is noted. The infant gut continues to progressively diversify until cessation from breastmilk when it becomes increasingly adult-like, as it is more stable and complex [27, 28, 30, 3234]. Although food item selection during the introduction of solids may be an important contributing factor when considering microbial colonization in the infant gut, few studies have considered diet-related colonization patterns [35]. Additionally, pre-term infants may be introduced to solid foods when their gut microbiota is at a more biologically immature state which would increase the risk of disrupting the normal microbiota development compared to full-term infants. Furthermore, cessation from breastmilk often occurs in conjunction with a more complex introduction of solid foods and formula or animal-based milk products. In comparison to early exclusive milk or formula feeding stages, the cessation of breastmilk is considerably less investigated [28].

There is little foundation from the field of microbiology for guidelines regarding introduction of solid foods and cessation of breastfeeding for term infants, and even less understanding of approaches used in the pre-term population. Insight is needed on the timing and importance of the potential deterministic factors that can serve as a target for manipulation. Therefore, this study aims to: identify the impact of early life dietary events on gut microbiome community structures and function among infants born at term and pre-term. At the time of introduction of solid food and cessation from breastmilk we will use frequent fecal sampling analyzed using 16S rRNA gene profiling, metagenomics, metabolomics, and targeted bacterial culturing to characterize the microbial communities in a subset of infants from three prospective birth cohorts. The use of culture-based methods in addition to molecular methods to profile microbial communities will allow us to isolate organisms and evaluate bacterial phenotypes in vitro, distinguish between live and dead cells, and enrich for less abundant bacteria using selective media [36]. The main objective of this study will be to describe the colonization patterns of the gut microbiome before, during, and after the introduction of solid food and before, during, and after weaning from breastmilk. We hypothesize that during the introduction to solid food and during the time around weaning from breastmilk we will see a shift in microbial composition to be more complex and less dominated by Bifidobacterium. We expect to see changes in the stool microbiome and metabolome within 14 days of each dietary change. However since little is known about how these dietary changes will impact the ecology of the gut microbiome, this work is largely hypothesis-generating rather than hypothesis-testing. This work will provide insight into timing and importance of the potential deterministic factors that can contribute to evidence-based infant nutrition guidance.

Methods

Study design

The Intensively Sampled sub-study is designed to prospectively monitor the gut microbiome of infants during two critical timepoints in microbial development: the introduction of solid foods and cessation from breastmilk. Participants from three primary observational birth cohorts, Baby & Mi, Baby & Pre-Mi (Hamilton, Ontario, Canada), and LucKi Gut (Maastricht, Netherlands) who consented to take part in the sub-study will be assessed for eligibility. The Baby & Mi and LucKi Gut cohorts are prospectively following full-term infants while the Baby & Pre-Mi cohort is following pre-term infants. All three of the primary cohorts are using similar questionnaires to collect information about the birth, infant diet, medications, and other exposures. In addition to participating in the primary study, eligible sub-study participants will be asked to provide data and collect stool samples over a 14 to 17-day intensive sampling period, which will occur before, during, and after the introduction of solid foods and again at the time of cessation from breastmilk. All three cohorts will participate in the introduction of solids phase. Full-term cohorts (Baby & Mi and LucKi Gut) will participate in the cessation from breastmilk phase of the study. The joint Hamilton Health Sciences–McMaster University Research Ethics Boards and Research Ethics Boards at all participating healthcare organizations approved the study in Canada. In the Netherlands, the study was approved by the Medical Ethical Committee Maastricht University Medical Centre. Parental written informed consent was provided for all participants prior to enrollment in the study.

Study population/participants/recruitment/sample size

A total of 35 participants will be enrolled for the Intensively Sampled sub-study. Twenty-five full-term infants will be recruited (15 from Baby & Mi and 10 from LucKi Gut) and ten pre-term infants will be recruited from the Baby & Pre-Mi cohort. This study focuses on within-subject differences in microbiota composition whereby each individual serves as its own control, an approach that increases power relative to studies comparing differences among individuals. With this study design, for an estimated expected mean of paired differences of 10 observed species and an expected standard deviation of the paired differences of 8, a sample size of 9 infants in each cohort is required to achieve a power of 80% and a level of significance of 5% (two sided) [37].

To be eligible for participation in the Intensively Sampled sub-study, participants must meet the criteria for the primary cohort (Table 1). Additionally, participants must meet the sub-study criteria (described below for each cohort). Any participants who consent and meet the eligibility criteria for the sub-study will be enrolled and given the study package containing the necessary materials, such as sample collection bags and the study dairy (for full study package materials list see S1 Appendix). For a descriptive summary of primary and Intensively Sampled sub-study details see Table 1.

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Table 1. Descriptive summary of the three cohorts that form the Intensively Sampled sub-study.

https://doi.org/10.1371/journal.pone.0248924.t001

Two sub-study cohorts of full-term babies will be formed: one in Canada (from the Baby & Mi study) and one in the Netherlands (from the LucKi Gut Study). The Baby & Mi study recruited 240 pregnant women from midwifery practices in Hamilton, Ontario and the surrounding area. Eligible participants included women who were planning to have a vaginal birth, considered to be low risk (defined as being under the care of a midwife), and were able to communicate in English in order to provide informed, signed consent. Women who had a pre-term birth (<37 weeks of completed gestation) and/or had a known multiple pregnancy were excluded. The LucKi Gut study is embedded within the Lucki Study and aims to recruit 300 pregnant women from the South Limburg area in the Netherlands via professionals involved in mother and child care and also through the internet (study website and Facebook). Women are eligible to participate in the LucKi Gut study if they give birth at >37 weeks of completed gestation. After giving birth, participants in the full term cohorts (LucKi Gut and Baby & Mi) who consented to the Intensively Sampled sub-study will be assessed for eligibility. Participants will be excluded if they gave birth by Caesarean section, if the infant is fully weaned prior to the introduction of solid foods, or the infant receives oral or intravenous (IV) antibiotics within 4 weeks of starting solid food consumption.

One sub-study cohort of pre-term infants will be formed from participants of the Baby & Pre-Mi study. Baby & Pre-Mi recruited 60 women within 72 hours of giving birth to a pre-term infant from the Neonatal Intensive Care Unit (NICU) at McMaster Children’s Hospital or the Level 2 Nursery at St. Joseph’s Healthcare in Hamilton, Ontario. Eligible participants included women who gave birth at <37 weeks gestational age and were able to communicate in English to provide informed, signed consent. Women were excluded if they had triplets or a higher order multiple birth, or if their baby was born with structural bowel abnormalities and/or were diagnosed with bowel disease that required surgical intervention. Participants in the primary Baby & Pre-Mi study who consented to the Intensively Sampled sub-study will be assessed for eligibility. Participants will be excluded if the infant is fully weaned prior to the introduction of solid foods and/or the infant receives oral or intravenous (IV) antibiotics within 4 weeks of starting solid foods.

Sample/data collection

The Intensively Sampled sub-study consists of two main sampling frames; 1) the introduction of solid foods, and 2) weaning from breastmilk. Full-term infants will participate in both sampling frames. Because few pre-term infants experience exclusive breastmilk feedings, this cohort will not participate in the weaning from breastmilk sampling frame. Participants will be asked to collect stool samples and fill out the study diary before, during and after the introduction of solids and cessation from breastmilk. Participants will be given the study definition for introduction of solids as being “the time at which at least one feeding of breastmilk or formula is intentionally replaced with solid food”. The study definition for cessation of breastmilk was “the last feeding of breastmilk”.

Both Baby & Mi and Baby & Pre-Mi Intensively Sampled participants will collect samples over a 17-day period while the LucKi Intensively Sampled participants will collect samples over a 14-day period. For both parts of the study, participants will be instructed to collect samples on Days 1 to 3 as before introduction of solids/cessation from breastmilk, Day 4 as the day of introduction of solids/cessation from breastmilk and Days 5 to 14 or 17 as after introduction of solids/cessation from breastmilk. Additionally, the Baby & Mi and Baby & Pre-Mi Intensively Sampled participants will collect fresh stool samples Day 1 (for before) and Day 17 (for after). All other samples will be collected and stored frozen. A summary of the sample collection timepoints can be found in Fig 1.

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Fig 1. Diagram of sample collection for the Intensively Sampled sub-study.

https://doi.org/10.1371/journal.pone.0248924.g001

For the collection of fresh stool samples, participants will be asked to call research staff immediately following the infant’s bowel movement to arrange for sample pick-up and delivery. Additionally, parents will be instructed to add an anaerobic sachet to the sample collection bag along with the sample. The sample will then to be placed in a small cooler bag with an ice pack to ensure that it remains anaerobic and cool during transport. The fresh samples will be processed in the laboratory within 4 hours of the bowel movement occurring. For the collection of frozen stool samples, participants will store the samples in their home freezers until all the samples are picked up or dropped off at the end of the sub-study period (Day 14 or 17).

In conjunction with collecting stool samples, participants will be asked to fill out a Study Diary every day during the intensively sampled period. On each day of study diary completion, parents will be asked to report if a stool sample was collected, the consistency of the stool sample based on the Bristol Stool Chart, if the sample came into contact with diaper cream, what type of diaper the sample was collected from, the number of bowel movements the infant had during the day, any medications the mother was on, how much time the infant spent sleeping, how many times the infant woke up during the night and how long the infant stayed awake if they woke up, and if the infant had any interaction with siblings, other children or animals. Additionally, all food consumption and medications will be recorded in an open text format. For full study diary details see S2 Appendix.

Evaluation of the gut microbiome

To explore alterations in the infant gut during the introduction of solid foods and cessation from breastmilk, targeted bacterial culture, 16S rRNA gene sequencing, metagenomics, and metabolomics will be used.

Outcome assessment.

Through frequent repeated sampling we aim to understand the daily dynamics in infant gut microbiota transition during two sentinel events which are hypothesized to induce a critical disturbance to the infant gut microbiome: introduction of solid foods and weaning from breast milk. The primary outcome will be changes over time of the microbial communities as a whole following each of these events, in terms of bacterial membership, abundance and phylogeny, bacterial gene profiles and microbial metabolism, and strain phenotype changes of cultured bacterial strains over time. We expect that bacterial richness and diversity will increase over time and as the diet becomes more complex in both the full-term and the preterm infants. In the full-term cohort we expect there to be a loss of breastfeeding associated taxa such as some species of Bifidobacterium, that have been observed to decrease over the first year of life and to differ with breastfeeding status [38, 39]. We expect to describe significant shifts in the overall microbial community membership and substrate use over the study periods through prediction of bacterial genes and the abundance of metabolites in the stool that differ based on geography, birth mode and diet.

16S rRNA gene sequencing.

The 16S rRNA gene is a highly conserved gene among bacterial species and other single celled organisms with specific variable regions. The assessment of genetic variation in these specific genomic regions, allows for identification, characterization and comparison of bacterial presence within a sample. To analyze genetic variation in specific genomic regions, highly targeted approaches such as amplicon sequencing were used. This method is well established, and provides extensive, in-depth information for identification, characterization and comparison of bacterial presence within a sample.

16S rRNA gene sequencing will be performed on fresh samples as well as a selection of frozen samples collected before, the day of, and after introduction of solid foods/cessation of breastmilk. 100 mg of stool will be used for DNA extraction from each sample. In cases where solid stool was not available, approximately 100 mg of stool will be collected from saturated diaper liner by sectioning the liner and subtracting the weight of the liner itself. DNA will be extracted from stool with established protocols as previously described [40]. Amplification of the bacterial 16S rRNA gene v3 region will be performed as previously described [41]. and Illumina libraries will be sequenced in the McMaster Genomics Facility with 250 bp sequencing in the forward and reverse directions on the Illumina MiSeq instrument. Raw sequencing data will be processed with standard software [42] and amplicon sequence variants (ASV) will be inferred using the DADA2 pipeline [43].

Metagenomics.

Shotgun metagenomics will be performed on DNA extracted from fresh samples, described above, collected before and after the introduction of solid foods/weaning from breastmilk. Metagenomics sequences the entire genetic content of all organisms in a given sample and therefore not only gives information about the bacteria present, but also viruses, fungi, bacteriophages etc. Furthermore, metagenomics also provides information about the presence or absence of functional pathways within a sample which can give insight into phenotypic characteristics of organisms within the community. Metagenomics will be performed at the McMaster University Genome Centre (MUGC).

Microbial culture.

Bacterial culturing was performed on fresh samples collected before and after the introduction of solid foods/weaning from breastmilk. Specific selective and differential media plates were chosen based on species of interest which were identified through a preliminary analysis of the Baby & Mi pilot cohort and were found to be persistent over the first year of life in the infant gut. Representative bacterial colonies will be picked from each media type and isolated. Additionally, plate pools of each media type will be collected. Detailed methods for bacterial culture are previously described by Lau et al., 2016 [44].

Metabolomics.

The study of metabolomics gives insight into the functional capabilities of the gut microbes. It allows for the identification and quantification of molecular classes, compounds and metabolites produced by intestinal microbes. The gut microbiota is capable of modulating signalling pathways that regulate intestinal mucosa homeostasis through metabolite production and fermentation. Three different metabolomic methods will be used on a subset of the samples collected during 14-day sampling period for both the introduction of solid foods and weaning from breastmilk. Both untargeted, direct infusion-mass spectrometry (DI-MS), and targeted, nuclear magnetic resonance spectroscopy (NMR) methods will be used to assess short chain fatty acids and other organic acids and alcohols. An additional targeted method, ultra performance liquid chromatography/multiple-reaction monitoring–mass spectrometry (UPLC/MRM-MS) will be used to assess bile acid profiles. Stool samples will be aliquoted and stored in a -80 freezer prior to being sent for metabolomic processing. All metabolomic methods will be performed at The Metabolomics Innovation Centre (TMIC) located at University of Alberta.

Discussion

Many studies in the literature to date have taken a cross-sectional approach when assessing the microbiota of infants and thus have not informed the influence of exposures on intra-individual variation of the microbiome. In addition to the more recent longitudinal studies with wider intervals between sampling timepoints, our study will contribute to the literature by providing an understanding of the daily dynamics that occur in infant microbiota development around the time of dietary changes. In order to capture the potential change in microbiome as it occurs, in this study participants will collect daily stool samples (where possible) during the two sampling frames. A 2020 review of study design methods to evaluate the diet and microbiome relationship suggested that dense, longitudinal sampling with samples collected before, during and after an intervention of interest is ideal [45]. Our study will accomplish this by asking participants to collect daily fecal samples over a 14 to 17 day period that spans from before to after the introduction of solid foods and again at weaning. It has been previously reported that 7 to 9 sequential samples is ideal to account for intra-individual variation [45]. Consistent with this recommendation, we designed an approach that accounts for the possibility that our participants may not be able to achieve daily sampling for the entire sampling period.

Few studies have considered investigating the pre-term population specifically at the time of introduction of solid foods, which is an integral timepoint for colonization and development of the infant microbiota. Our study plans to carry out frequent sample collection, during windows of time that influence the development of the microbiome, such as the introduction of solid foods and cessation from breastmilk in order to provide more insight regarding microbial colonization and succession in full-term and pre-term infants.

Geographical location has been implicated as a relevant factor in infant gut microbiota colonization patterns. However, this is thought to be more related to dietary patterns and lifestyles in specific areas as regional diets and cultural practices of people living in similar ethno-geographic areas have been shown to have less inter-individual variation in their microbiomes [46]. Our international collaboration will allow us to look at differences and similarities between the gut microbiota of infants from Canada and The Netherlands and investigate the impact of cultural practices around food introduction and breastfeeding.

To identify the short-term changes to the microbial community function and host metabolism during weaning and introduction of solid food we will use molecular profiling, a targeted strategy for bacterial culturing, metagenomics and metabolomics. Previous studies have used metagenomic and metabolomic methods to assist in assessing functional diversity in the healthy adult microbiota [4751]. The majority of metagenomic and metabolomic studies have focused on the adult microbiome, leaving the assessment of functional characteristics in the infant microbiome relatively unexplored. The use of metagenomic and metabolomic methods will give a better comprehension of the gut microbiome by not only giving information regarding the composition and presence of microbes but also modulation and interaction between microbes and the host [5254]. Despite the importance of functional processes in gut microbiota development, this area remains understudied as most literature to date uses molecular analyses based on the 16S rRNA gene sequencing which only examines the gut microbiota at taxonomic levels.

Until recently, it was thought that a large majority of bacteria within the gut were unculturable [55, 56]. The use of high throughput molecular based methods for evaluating bacterial communities within the gut is a preferential technique relied upon by majority of the scientific community. However, a recent study highlighted the importance of culture-enriched molecular profiling by showing that in comparison to culture-independent sequencing greater bacterial diversity was observed in the culture-enriched molecular profiling method [44]. Additionally, by selectively targeting bacterial families or species of interest, further studies can be performed to assess the functional roles of these important key players.

Given that the first exposures to microbes occur during infancy, it is suggested that this initial colonization is instrumental in influencing the adult microbiota composition, and subsequently may affect health outcomes later in life. In addition to microbiota colonization, establishment of constant dialogue between the immune system, metabolic pathways and the gut microbiome is developed. This provides further evidence, as noted in epidemiological studies, that host-microbe interactions instilled during infancy are major determinants of health or disease in adulthood [5759]. Currently, the professional guidelines provided regarding the introduction of solid foods and cessation from breastmilk are varied among the governing bodies in different geographical locations which results in individual and cross-cultural variation. More importantly, these guidelines do not consider the effect of timing or type of solid food introduction on the infant gut microbiome. Our study will provide a comprehensive approach to detailing the effects of dietary transition from breast milk to a more adult-like solid food diet and in doing so will contribute to evidence-based infant nutrition guidance.

Acknowledgments

GI-MDH Consortium Collaborators: Alison C. Holloway1, Helen McDonald2, Elyanne M. Ratcliffe3,4, Jonathan D. Schertzer4,5, Mike G. Surette4,5, Lehana Thabane6, Susanne Lau7, Eckard Hamelmann8

1 Department of Obstetrics and Gynecology, McMaster University, Hamilton, ON, Canada.

2 McMaster Midwifery Research Centre, McMaster University, Hamilton, ON, Canada.

3 Department of Pediatrics, McMaster University, ON, Canada.

4 Farncombe Family Digestive Health Research Institute, McMaster University, Hamilton, Canada

5 Department of Biochemistry & Biomedical Sciences, McMaster University, Hamilton, Canada

6 Department of Clinical Epidemiology & Biostatistics, McMaster University, Hamilton, Canada.

7 Department of Pediatric Pulmonology, Immunology and Intensive Care Medicine, Charité Universitätsmedizin Berlin, Germany.

8 Children’s Center Bethel, Protestant Hospital Bethel, University of Bielefeld, Germany.

The GI-MDH Consortium is led by Dr. Eileen Hutton (huttone@mcmaster.ca)

References

  1. 1. Holmes E, Li JV, Athanasiou T, Ashrafian H, Nicholson JK. Understanding the role of gut microbiome-host metabolic signal disruption in health and disease. Trends Microbiol. 2011; 19, 349–359. pmid:21684749
  2. 2. Schippa S, Conte MP. Dysbiotic events in gut microbiota: impact on human health. Nutrients. 2014 Dec 11; 6(12):5786–805. Epub 2014 Dec 11. pmid:25514560
  3. 3. Bull MJ, Plummer NT. Part 1: The Human Gut Microbiome in Health and Disease. Integr Med (Encinitas). 2014 Dec;13(6):17–22.
  4. 4. Guinane CM, Cotter PD. Role of the gut microbiota in health and chronic gastrointestinal disease: understanding a hidden metabolic organ. Therap Adv Gastroenterol. 2013 Jul; 6(4):295–308. pmid:23814609
  5. 5. Sekirov I, Russell SL, Antunes LC, Finlay BB. Gut microbiota in health and disease. Physiol Rev. 2010; 90: 859–904. pmid:20664075
  6. 6. Kalliomaki M, Kirjavainen P, Eerola E, Kero P, Salminen S, Isolauri E. Distinct patterns of neonatal gut microflora in infants in whom atopy was and was not developing. J Allergy Clin Immunol. 2001 Jan;107(1):129–34. pmid:11150002
  7. 7. Larsen N, Vogensen FK, van den Berg Frans WJ, Nielsen DS, Andreasen AS, Pedersen BK, et al. Gut microbiota in human adults with type 2 diabetes differs from non-diabetic adults. PloS one. 2010;5(2):e9085. pmid:20140211
  8. 8. Ly NP, Litonjua A, Gold DR, Celedón JC. Gut microbiota, probiotics, and vitamin D: interrelated exposures influencing allergy, asthma, and obesity? J Allergy Clin Immunol. 2011;127(5):1087–94. pmid:21419479
  9. 9. Toivanen P. Normal intestinal microbiota in the aetiopathogenesis of rheumatoid arthritis. Ann Rheum Dis. 2003;62(9):807–11. pmid:12922950
  10. 10. Caporaso JG, Lauber CL, Costello EK, Berg-Lyons D, Gonzalez A, Stombaugh J, et al. Moving pictures of the human microbiome. Genome biology. 2011 May 30;12(5):R50. pmid:21624126
  11. 11. Costello EK, Stagaman K, Dethlefsen L, Bohannan BJ, Relman DA. The application of ecological theory toward an understanding of the human microbiome. Science. 2012 Jun 8;336(6086):1255–62. pmid:22674335
  12. 12. David LA, Maurice CF, Carmody RN, Gootenberg DB, Button JE, Wolfe BE, et al. Diet rapidly and reproducibly alters the human gut microbiome. Nature. 2014 Jan 23;505(7484):559–63. pmid:24336217
  13. 13. Stein RR, Bucci V, Toussaint NC, Buffie CG, Rätsch G, Pamer EG, et al. Ecological modeling from time-series inference: insight into dynamics and stability of intestinal microbiota. PLoS computational biology. 2013 Dec 12;9(12):e1003388. pmid:24348232
  14. 14. Mackie RI, Sghir A, Gaskins HR. Developmental microbial ecology of the neonatal gastrointestinal tract. Am J Clin Nutr. 1999;69(5):1035S–1045S. pmid:10232646
  15. 15. Matamoros S, Gras-Leguen C, Le Vacon F, Potel G, de La Cochetiere MF. Development of intestinal microbiota in infants and its impact on health. Trends Microbiol. 2013;21(4):167–173. pmid:23332725
  16. 16. Dominguez-Bello MG, Costello EK, Contreras M, Magris M, Hidalgo G, Fierer N, et al. Delivery mode shapes the acquisition and structure of the initial microbiota across multiple body habitats in newborns. Proceedings of the National Academy of Sciences. 2010 Jun 29;107(26):11971–5. pmid:20566857
  17. 17. Madan JC, Hoen AG, Lundgren SN, Farzan SF, Cottingham KL, Morrison HG, et al. Association of cesarean delivery and formula supplementation with the intestinal microbiome of 6-week-old infants. JAMA pediatrics. 2016 170.3: 212–219. pmid:26752321
  18. 18. Palmer C, Bik EM, DiGiulio DB, Relman DA, Brown PO. Development of the human infant intestinal microbiota. PLoS biology. 2007 Jun 26;5(7):e177. pmid:17594176
  19. 19. Groer MW, Gregory KE, Louis-Jacques A, Thibeau S, Walker WA. The very low birth weight infant microbiome and childhood health. Birth Defects Res C Embryo Today. 2015 Dec;105(4):252–64. Epub 2015 Dec 10. pmid:26663857
  20. 20. Milani C, Duranti S, Bottacini F, Casey E, Turroni F, Mahony J, et al. The First Microbial Colonizers of the Human Gut: Composition, Activities, and Health Implications of the Infant Gut Microbiota. Microbiol Mol Biol Rev. 2017 Nov 8;81(4). pii: e00036–17. Print 2017 Dec. Review. pmid:29118049
  21. 21. Arboleya S, Binetti A, Salazar N, Fernandez N, Solis G, Hernandez-Barranco A, et al. Establishment and development of intestinal microbiota in preterm neonates. FEMS Microbiology Ecology, 2012; 79:763–772. pmid:22126419
  22. 22. Arboleya S, Sanchez B, Milani C, Duranti S, Solis G, Fernandez N, et al. Intestinal microbiota development in preterm neonates and effect of perinatal antibiotics. J Pediatr 2015; 166:538–544. pmid:25444008
  23. 23. Cong X, Xu W, Janton S, Henderson WA, Matson A, McGrath JM, et al. Gut microbiome developmental patterns in early life of preterm infants: impacts of feeding and gender. PLoS One 2016; 11:e0152751. pmid:27111847
  24. 24. Hill CJ, Lynch DB, Murphy K, Ulaszewska M, Jeffery IB, O’Shea CA, et al. Evolution of gut microbiota composition from birth to 24 weeks in the INFANTMET Cohort. Microbiome. 2017 Jan 17;5(1):4. pmid:28095889
  25. 25. Jacquot A, Neveu D, Aujoulat F, Mercier G, Marchandin H, Jumas-Bilak E, et al. Dynamics and clinical evolution of bacterial gut microflora in extremely premature patients. J Pediatr. 2011; 158:390–396. pmid:20961563
  26. 26. Rougé C, Goldenberg O, Ferraris L, Berger B, Rochat F, Legrand A, et al. Investigation of the intestinal microbiota in preterm infants using different methods. Anaerobe. 2010; Aug;16(4):362–70. Epub 2010 Jun 9. pmid:20541022
  27. 27. Bernal MJ, Periago MJ, Martínez R, Ortuño I, Sánchez-Solís M, Ros G, et al. Effects of infant cereals with different carbohydrate profiles on colonic function—randomised and double-blind clinical trial in infants aged between 6 and 12 months—pilot study. European journal of pediatrics. 2013 Nov 1;172(11):1535–42. pmid:23812516
  28. 28. Koenig JE, Spor A, Scalfone N, et al. Succession of microbial consortia in the developing infant gut microbiome. Proc Natl Acad Sci U S A. 2011;108 Suppl:4578–4585. pmid:20668239
  29. 29. Sellitto M, Bai G, Serena G, Fricke WF, Sturgeon C, Gajer P, et al. Proof of concept of microbiome-metabolome analysis and delayed gluten exposure on celiac disease autoimmunity in genetically at-risk infants. PloS one. 2012 Mar 14;7(3):e33387. pmid:22432018
  30. 30. Sordillo JE, Zhou Y, McGeachie MJ, Ziniti J, Lange N, Laranjo N, et al. Factors influencing the infant gut microbiome at age 3–6 months: Findings from the ethnically diverse Vitamin D Antenatal Asthma Reduction Trial (VDAART). Journal of Allergy and Clinical Immunology. 2017 Feb 28;139(2):482–91. pmid:27746239
  31. 31. Yatsunenko T, Rey FE, Manary MJ, et al. Human gut microbiome viewed across age and geography. Nature. 2012;486(7402):222–227. pmid:22699611
  32. 32. Bäckhed F, Roswall J, Peng Y, Feng Q, Jia H, Kovatcheva-Datchary P, et al. Dynamics and stabilization of the human gut microbiome during the first year of life. Cell host & microbe. 2015 May 13;17(5):690–703.
  33. 33. Magne F, Hachelaf W, Suau A, Boudraa G, Mangin I, Touhami M, et al. A longitudinal study of infant faecal microbiota during weaning. FEMS microbiology ecology. 2006 Jul 12;58(3):563–71. pmid:17117997
  34. 34. Thompson AL, Monteagudo-Mera A, Cadenas MB, Lampl ML, Azcarate-Peril MA. Milk-and solid-feeding practices and daycare attendance are associated with differences in bacterial diversity, predominant communities, and metabolic and immune function of the infant gut microbiome. Frontiers in cellular and infection microbiology. 2015;5. pmid:25692100
  35. 35. Krebs NF, Sherlock LG, Westcott J, Culbertson D, Hambidge KM, Feazel LM, et al. Effects of different complementary feeding regimens on iron status and enteric microbiota in breastfed infants. J Pediatr. 2013;163(2):416,423. e4. pmid:23452586
  36. 36. Lagier JC, Armougom F, Million M, Hugon P, Pagnier I, Robert C, et al. Microbial culturomics: paradigm shift in the human gut microbiome study. Clin Microbiol Infect. 2012;18:1185–93. pmid:23033984
  37. 37. Dhand NK, Khatkar MS. Statulator: An online statistical calculator. Sample Size Calculator for Comparing Two Paired Proportions. 2014 [cited 17 February 2021]. Available from: http://statulator.com/SampleSize/ss2PP.html
  38. 38. Pannaraj PS, Li F, Cerini C, Bender JM, Yang S, Rollie A, et al. Association between breast milk bacterial communities and establishment and development of the infant gut microbiome. JAMA Pediatrics. 2017 Jul 1;171(7):647–54. pmid:28492938
  39. 39. Henrick BM, Hutton AA, Palumbo MC, Casaburi G, Mitchell RD, Underwood MA, et al. Elevated fecal pH indicates a profound change in the breastfed infant gut microbiome due to reduction of Bifidobacterium over the past century. MSphere. 2018 Apr 25;3(2). pmid:29564397
  40. 40. Stearns JC, Simioni J, Gunn E, McDonald H, Holloway AC, Thebane L, et al. Intrapartum antibiotics for GBS prophylaxis alter colonization patterns in the early infant gut microbiome of low risk infants. Sci Rep. 2017;7(1):16527. pmid:29184093
  41. 41. Bartram AK, Lynch MD, Stearns JC, Moreno-Hagelsieb G, Neufeld JD. Generation of multimillion-sequence 16S rRNA gene libraries from complex microbial communities by assembling paired-end illumina reads. Appl Environ Microbiol. 2011;77:3846–52. pmid:21460107
  42. 42. Martin M. Cutadapt removes adapter sequences from high-throughput sequencing reads. EMBnet Journal. 2011; 17(1), p. -10.
  43. 43. Callahan BJ, McMurdie PJ, Rosen MJ, Han AW, Johnson AJ, Holmes SP. DADA2: High-resolution sample inference from Illumina amplicon data. Nature methods 2016; 13(7): 581–583. pmid:27214047
  44. 44. Lau JT, Whelan FJ, Herath I, Lee CH, Collins SM, Bercik P, et al. Capturing the diversity of the human gut microbiota through culture-enriched molecular profiling. Genome Med. 2016 Jul 1;8(1):72. pmid:27363992
  45. 45. Johnson AJ, Zheng JJ, Kang JW, Saboe A, Knights D, Zivkovic AM. A Guide to Diet-Microbiome Study Design. Front Nutr. 2020 Jun 12;7:79. pmid:32596250
  46. 46. Rodriguez JM, Murphy K, Stanton C, Ross RP, Kober OI, Juge N, et al. 2015. The composition of the gut microbiota throughout life, with an emphasis on early life. Microb Ecol Health Dis 26:26050. pmid:25651996
  47. 47. Chow J, Panasevich MR, Alexander D, Vester Boler BM, Rossoni Serao MC, Faber TA, et al. Fecal metabolomics of healthy breast-fed versus formula-fed infants before and during in vitro batch culture fermentation. J. Proteome Res. 2014;13, 2534–2542. pmid:24628373
  48. 48. Francavilla R., Calasso M., Calace L., Siragusa S., Ndagijimana M., Vernocchi P., et al. Effect of lactose on gut microbiota and metabolome of infants with cow’s milk allergy. Pediatr. Allergy Immunol. 2012; 23, 420–427. pmid:22435727
  49. 49. Gill SR, Pop M, Deboy RT, Eckburg PB, Turnbaugh PJ, et al. Metagenomic analysis of the human distal gut microbiome. Science. 2006; 312: 1355–1359. pmid:16741115
  50. 50. Kurokawa K, Itoh T, Kuwahara T, Oshima K, Toh H, et al. Comparative metagenomics revealed commonly enriched gene sets in human gut microbiomes. DNA Res. 2007; 14: 169–181. pmid:17916580
  51. 51. Qin J, Li R, Raes J, Arumugam M, Burgdorf KS, et al. A human gut microbial gene catalogue established by metagenomic sequencing. Nature. 2010; 464: 59–65. pmid:20203603
  52. 52. Moco S., Collino S., Rezzi S., and Martin F.-P. J. (2013). Metabolomics perspectives in pediatric research. Pediatr. Res. 73, 570–576. pmid:23314292
  53. 53. Moco S., Vervoort J., Moco S., Bino R. J., De Vos R. C. H., and Bino R. (2007). Metabolomics technologies and metabolite identification. TrAC Trends Anal. Chem. 26, 855–866.
  54. 54. Putignani L., Del Chierico F., Vernocchi P., Cicala M., Cucchiara S., Dallapiccola B., et al. (2015). Gut microbiota dysbiosis as risk and premorbid factors of IBD and IBS along the childhood-adulthood transition. Inflamm. Bowel Dis. 2015; 22, 487–504. pmid:26588090
  55. 55. Eckburg PB, Bik EM, Bernstein CN, Purdom E, Dethlefsen L, Sargent M, et al. Diversity of the human intestinal microbial flora. Science. 2005;308:1635–8. pmid:15831718
  56. 56. Hayashi H, Sakamoto M, Benno Y. Phylogenetic analysis of the human gut microbiota using 16S rDNA clone libraries and strictly anaerobic culturebased methods. Microbiol Immunol. 2002;46:535–48. pmid:12363017
  57. 57. Eggesbo M, Botten G, Stigum H, Nafstad P, Magnus P. 2003. Is delivery by cesarean section a risk factor for food allergy? J Allergy Clin Immunol 112:420–426. pmid:12897751
  58. 58. Huh SY, Rifas Shiman SL, Zera CA, Edwards JWR, Oken E, Weiss ST, et al. 2012. Delivery by caesarean section and risk of obesity in preschool age children: a prospective cohort study. Arch Dis Child 97:610–616. pmid:22623615
  59. 59. Sevelsted A, Stokholm J, Bonnelykke K, Bisgaard H. 2015. Cesarean section and chronic immune disorders. Obstet Gynecol Surv 70:303–305. pmid:25452656