Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

First-Pass Meconium Samples from Healthy Term Vaginally-Delivered Neonates: An Analysis of the Microbiota

  • Richard Hansen ,

    Contributed equally to this work with: Richard Hansen, Karen P. Scott

    Affiliations Department of Neonatology, Aberdeen Maternity Hospital, Aberdeen, United Kingdom, Gastrointestinal Research Group, University of Aberdeen, Aberdeen, United Kingdom

  • Karen P. Scott ,

    Contributed equally to this work with: Richard Hansen, Karen P. Scott

    Affiliation Rowett Institute of Nutrition and Health, University of Aberdeen, Aberdeen, United Kingdom

  • Shoaib Khan,

    Affiliation Department of Neonatology, Aberdeen Maternity Hospital, Aberdeen, United Kingdom

  • Jenny C. Martin,

    Affiliation Rowett Institute of Nutrition and Health, University of Aberdeen, Aberdeen, United Kingdom

  • Susan H. Berry,

    Affiliation Gastrointestinal Research Group, University of Aberdeen, Aberdeen, United Kingdom

  • Matthew Stevenson,

    Affiliation Gastrointestinal Research Group, University of Aberdeen, Aberdeen, United Kingdom

  • Augusta Okpapi,

    Affiliation Department of Neonatology, Aberdeen Maternity Hospital, Aberdeen, United Kingdom

  • Michael J. Munro ,

    ‡ These authors also contributed equally to this work.

    Affiliation Department of Neonatology, Aberdeen Maternity Hospital, Aberdeen, United Kingdom

  • Georgina L. Hold

    g.l.hold@abdn.ac.uk

    ‡ These authors also contributed equally to this work.

    Affiliation Gastrointestinal Research Group, University of Aberdeen, Aberdeen, United Kingdom

Abstract

Background

Considerable effort has been made to categorise the bacterial composition of the human gut and correlate findings with gastrointestinal disease. The infant gut has long been considered sterile at birth followed by rapid colonisation; however, this view has recently been challenged. We examined first-pass meconium from healthy term infants to confirm or refute sterility.

Methods

Healthy mothers were approached following vaginal delivery. First-pass meconium stools within 24 hours of delivery were obtained from healthy, breastfed infants with tight inclusion/exclusion criteria including rejecting any known antibiotic exposure - mother within 7 days preceding delivery or infant after birth. Stools were processed in triplicate for fluorescent in-situ hybridisation (FISH) with 16S rRNA-targeted probes including Bifidobacterium; Bacteroides-Prevotella; Lactobacillaceae/Enterococcaceae; Enterobacteriaceae; Streptococcaceae; Staphylococcaceae and Enterococcaceae. Absolute counts of all bacteria and proportional identification of each bacterial group were calculated. Confirmation of bacterial presence by PCR was undertaken on FISH-positive samples.

Results

The mothers of 31 newborn infants were recruited, 15 met inclusion/exclusion criteria and provided a sample within 24 hours of birth, processed in the lab within 4 hours. All babies were 37–40 weeks gestation. 8/15 were male, mean birth weight was 3.4kg and mean maternal age was 32 years. Meconium samples from 10/15 (66%) infants had evidence of bacteria based on FISH analysis. Of these, PCR was positive in only 1. Positive FISH counts ranged from 2.2 - 41.8 x 104 cells/g with a mean of 15.4 x 104 cells/g. (The limit of detection for automated counting is 106 cells/g). Cell counts were too low to allow formal diversity analysis. Amplification by PCR was not possible despite positive spiked samples demonstrating the feasibility of reaction. One baby was dominated by Enterobacteriaceae. The others contained 2-5 genera, with Bifidobacterium, Enterobacteriaceae, Enterococcaceae and Bacteroides-Prevotella the most prevalent. There was no association between bacterial counts and rupture of membrane duration, time to passage of meconium or time to lab.

Conclusion

This study provides evidence that low numbers of bacteria are present in first-pass meconium samples from healthy, vaginally-delivered, breastfed term infants. Only two-thirds of meconium samples had detectable bacteria, though at levels too low for automated counting or for reliable confirmation by PCR. This study suggests that gut bacterial colonisation is extremely limited at birth and occurs rapidly thereafter.

Introduction

There has been a recent explosion of interest in the potential role of resident gut bacteria (the gut microbiota) in the causation or alleviation of human disease, however comparatively little attention has been paid to the process of early life colonisation. The long-standing dogma of gut sterility at birth has recently been challenged by suggestions that early meconium samples [1], the placenta [2] and even umbilical cord blood [3] harbour evidence of bacteria.

The simple question of whether or not the gut is sterile at birth is a fundamental one in understanding human microbial colonisation, particularly as the gut harbours the most diverse bacterial community of the human body [4]. Data gathered from across different species have repeatedly demonstrated microbial transfer from mother to infant, supporting the critical nature of this physiological process [5]. Extending positive microbial findings however from the placenta [2], amniotic sac [6], umbilical blood [3] or breastmilk [7] to the gut of the fetus requires targeted study to address the paradigm of gut sterility at birth. The first question that needs to be robustly answered in the ongoing study of bacterial colonisation therefore is the sterility, or otherwise, of the gut at birth. With this in mind, a short, targeted study in healthy, term, vaginally-delivered, breastfed infants was undertaken to look for evidence of bacteria in first-pass meconium samples using two distinct molecular techniques. We elected to focus on fluorescent in-situ hybridisation (FISH) rather than the more prevalent amplicon sequencing methodology for two main reasons: firstly, amplicon sequencing is a qualitative and not quantitative method, so the absolute abundance of bacteria is not known; and secondly, in amplicon sequencing bacteria are identified based on DNA, not viable cells. Additionally, any DNA-based analysis of samples containing low levels of bacteria has to be carefully assessed for the possibility of contamination during processing confounding the results [8]. These are the reasons we specifically chose to utilise FISH for our work- it is quantitative and it allows visualisation of cells, inferring the presence of viable organisms in the sample studied.

Methods

Healthy mothers following a normal vaginal delivery at term in Aberdeen Maternity Hospital were invited to participate in the study. Primigravida and parous mothers were considered equally. The first meconium nappy, passed within 24 hours of delivery, was collected and processed in the laboratory within 4 hours. Although the method of feeding was not thought to be of significance during this short period after birth, only infants exclusively breastfed up to the point of first meconium were included.

Tight inclusion and exclusion criteria were applied to approximate normal physiology as closely as possible within a hospital setting. Inclusion criteria: healthy mother; healthy pregnancy; term at delivery (37–42 weeks inclusive); appropriate weight for gestational age (between 10th- 90th centiles); vaginal delivery; healthy infant; breastfed only to point of sample collection. Exclusion criteria: significant background maternal health concerns; significant maternal health issues during pregnancy; perinatal antibiotic exposure (mother within 7 days preceding delivery or infant after birth); premature delivery (<37 weeks); post-term delivery (>42 weeks); small weight for gestational age (weight <10th centile); large weight for gestational age (weight >90th centile); Caesarean section delivery; instrumental delivery; prolonged rupture of membranes prior to delivery (>24 hours); meconium passed in liquor; maternal pyrexia>38°C during labour; neonatal health concerns sufficient to warrant admission to neonatal unit; formula milk fed at any point prior to sample. The period prior to delivery within which maternal antibiotic exposure was deemed an exclusion criterion (7 days) was decided on a pragmatic basis. Data on inclusion and exclusion criteria were collected for each recruit on a study proforma sheet and cross-checked during analysis.

Meconium samples were collected using routine “clean” technique within the hospital setting (researcher’s hands washed, non-sterile gloves applied, sterile spatula used to retrieve sample) into a sterile universal container, placed immediately into a fridge in the maternity unit then transferred to the laboratory and processed within 4 hours of collection. This same initial approach is used routinely in the collection of multiple clinical samples for hospital microbial analysis, is in keeping with standard practice. Samples were then received into Category 2 microbiology laboratories and processed.

Firstly, 0.5g samples were taken from the meconium specimens and placed into lysing matrix tubes from the FastDNA SPIN Kit for Soil (MP Biomedical, Ohio, USA) then stored at -80°C until DNA extraction was performed in batches using the same kit within 8 weeks of collection. Secondly, a 0.5g sample was fixed in a 1/40 solution for fluorescent in-situ hybridisation (FISH) following the stool processing protocol [9]. Briefly, 1–2ml PBS/30% glycerol and a few glass beads were added and the mix vortexed, until the meconium was suspended, before dilution in further PBS/30% glycerol to a final volume of 3.3ml. 1ml of supernatant was transferred into 3ml of 4% paraformaldehyde, mixed by hand and stored for FISH analysis.

16S rRNA-targeted fluorescent probes were used to detect the predominant groups of human faecal bacteria. Absolute counts of all bacteria and proportional identification for each bacterial group were calculated. The probes used were Eub338 (total bacterial count), Bif164 (Bifidobacterium genus), Bac303 (Bacteroides-Prevotella group), LAB158 (Lactobacillaceae and Enterococcaceae), EntD (Enterobacteriaceae), Streptococcaceae (Strep), Staphylococcaceae (Staphy) and specifically Enterococcaceae (ENC221). These probes have all been validated previously and hybridisation was carried out using standard methods [1012]. Slight cross-hybridisation between ENC221 and Streptococcus species was observed. The low bacterial load in the samples meant that automated counting could not be done and each field of view had to be examined and counted manually.

Universal bacterial quantitative real-time PCR was performed on FISH positive samples as described previously [13]. Briefly, standard curves consisted of ten-fold dilution series of amplified bacterial 16S rRNA genes from reference strains. The abundance of 16S rRNA gene copies was determined from standard curves. Due to the relatively low abundance of bacterial DNA in meconium samples, 25ng of DNA was used per reaction.

Finally, we wanted to compare total bacterial counts against a clinical composite of the period during which colonisation may have commenced if the uterine environment is presumed sterile, hence we defined the “meconium colonisation interval” (MCI) as the total time from rupture of membrane to time of birth, plus time to passage of meconium, plus time to laboratory processing and have used this in analysis.

Ethics Statement

Ethical approval was granted by North of Scotland Research Ethics Service (10/S0801/16) and written informed consent was obtained from the parents of all subjects.

Results

The mothers of 31 infants were identified, approached and consented for the study immediately post-partum. Of these, 18 ultimately met the inclusion/exclusion criteria and 15 provided a meconium sample within 24 hours, which was subsequently collected and processed in the laboratory within 4 hours. All babies were 37–40 weeks gestation. 8/15 were male, mean birth weight was 3.4kg and mean maternal age was 32 years. The final cohort (n = 15) is described in Tables 1 and 2.

Following FISH analysis, 10/15 (66%) infants had evidence of bacteria present. Positive FISH counts ranged from 2.2 to 41.8 x 104 cells/g, with the mean of positive samples being 15.4 x 104 cells/g. (Limit of detection for automated counting is 106 cells/g). These cell counts were too low to allow formal diversity analysis, however a representation of bacterial composition in positive samples is shown in Fig 1. The colonisation of a single baby was dominated by Enterobacteriaceae. The others contained 2–5 genera. Bifidobacterium, Enterobacteriaceae, Enterococcaceae and Bacteroides-Prevotella were the most abundant bacteria identified.

thumbnail
Fig 1. Diagrammatic indication of bacterial composition in FISH-positive meconium samples based on proportions of specific bacterial groups relative to the total bacterial count.

https://doi.org/10.1371/journal.pone.0133320.g001

PCR amplification using generic bacterial primers was only possible in DNA extracted from one sample. The remaining 9/10 FISH positive samples failed to give any amplification products, despite positive spiked samples demonstrating the feasibility of a reaction. There was no clear association between “meconium colonisation interval” (MCI) with bacterial counts (Fig 2, Pearson correlation r2 = 0.023), however interestingly four of seven samples with an MCI <500 minutes were sterile compared with only one of eight above this threshold.

thumbnail
Fig 2. XY Scatterplot of “meconium colonisation interval” (defined as rupture of membrane interval plus time to passage of meconium plus sample time to laboratory) against total bacterial count (r2 = 0.023).

https://doi.org/10.1371/journal.pone.0133320.g002

Discussion

We designed the current study, with tight clinical criteria looking to identify healthy infants, born vaginally to healthy mothers and with clinical parameters as close to normal physiology as possible. We deliberately put in place tight inclusion/exclusion criteria and were firm in rejecting samples that did not meet these. Despite this, we have demonstrated evidence of bacteria, albeit with very limited cell counts and diversity, in first-pass meconium samples. In attempting to look for a temporal relationship to colonisation, we defined the “meconium colonisation interval” (MCI) as the period between externalisation of the amniotic sac contents (by rupture of membranes) and processing of the meconium sample in the laboratory. Assuming sterility of the amniotic sac and fetus, the start of this period would coincide with the commencement of fetal microbial colonisation. We demonstrated no correlation between MCI and bacterial cell counts in this study, albeit with limited subject numbers and consequently limited power to demonstrate such an association. Around one third of first-pass meconium samples in our cohort appeared sterile on triplicate microscopy analysis by FISH, and four of these five samples had an MCI time <500 minutes. No meconium sample was obtained in this study with an MCI time <200 minutes (3 hours 20 minutes), a considerable gap during which microbial changes may well occur. Addressing the MCI in the question of gut sterility at birth is a challenge for studies in this field and we would suggest that recording these times and analysing microbial data using MCI may help in future studies exploring early colonisation. This is a particular difficulty when addressing premature neonatal colonisation as delayed passage of meconium is commonplace with prematurity and often takes a number of days [14]. Microbial diversity has been reported in meconium samples from premature infants, though with scant consideration given to the timing of such samples with regards other early-life colonisation events [1518].

Comparing our study against other such investigations in the term neonate is challenging, as most utilise a “catch-all” approach to recruitment, rather than our selective approach, and presume all first pass samples are equivalent. The genre-defining culture-based paper on this subject from Jiménez and colleagues looked at early-passed meconium (within 2 hours of birth) and processed half of these immediately and half within 4 days [1]. No data was given on rupture of membranes interval. There was a clear distinction between the two groups with more culture-recovery in those with delayed processing. Between 1 and 5 species were isolated per sample with a predominance of Enterococcus faecalis, Staphylococcus epidermidis and Escherichia coli. No sample was entirely sterile. Makino and colleagues recently demonstrated a dearth of Bifidobacteria colonisation in first-pass meconium, but did not extend the analysis beyond this single genus [19]. Hu and colleagues performed a comprehensive 16S rDNA amplicon sequencing study on first-pass meconium samples from 23 newborns, including 10 from mothers with gestational or type II diabetes and 13 with no maternal diabetes [20]. The extremes of range for times of meconium passage was given (2–48 hours), but no data on rupture of membranes interval or time to lab processing. All samples had DNA evidence of bacteria, with a large Proteobacteria abundance in the infants without diabetic mothers. Ardissone et al recently published a further amplicon sequencing study on meconium samples from both term and preterm infants, and could find no DNA evidence of bacteria in 8/17 (47%) of meconium from infants >33 weeks gestation, with a greater proportion of preterm infants positive (74% vs 53%) [15]. Positive samples were extremely limited in diversity, much as in our study, with dominance by a single genus common. Specific data on MCI derivative periods was not provided, but it would be interesting to see whether delayed passage of meconium contributed to the increased positivity seen in premature infants.

In summary, we present here a clinically considered study on a select group of infants, selected for “normality” as much as possible, demonstrating that although ~2/3 of first-pass meconium samples contain bacteria, this appears less common when colonisation factors and timings are considered, and the number of different bacterial species detected in positive samples appears extremely limited. Further targeted work on the earliest aspects of microbial colonisation is required to fully address the sterility question, and we propose use of the MCI and its constituent timings as a potentially important aspect of data gathering for such studies. The seminal study to date on early neonatal colonisation demonstrated a lack of differentiation across neonatal body sites and inferred that this was a feature of early colonisation [21]. The impact of pioneer organisms may well influence downstream colonisation [22], and future attempts to influence the neonatal microbiota for the benefit of long-term health hinge on our understanding of early colonisation.

Acknowledgments

The authors would like to thank the parents who consented to provide samples with limited notice at an emotional and stressful time. This work was supported entirely from personal donations to the neonatal endowments fund at Aberdeen Maternity Hospital and we thank families for their continued generosity, year-on-year. The Rowett Institute of Nutrition and Health receives funding from the Scottish Government (SG-RESAS).

Author Contributions

Conceived and designed the experiments: RH GLH MJM KPS. Performed the experiments: JCM SHB MS. Analyzed the data: RH KPS GLH. Wrote the paper: RH GLH MJM KPS. Writing of ethics and study documentation: RH. Recruitment of families and collection of samples: SK AO.

References

  1. 1. Jiménez E, Marín ML, Martín R, Odriozola JM, Olivares M, Xaus J, et al. Is meconium from healthy newborns actually sterile? Res Microbiol 2008;159(3):187–193. pmid:18281199
  2. 2. Satokari R, Grönroos T, Laitinen K, Salminen S, Isolauri E. Bifidobacterium and Lactobacillus DNA in the human placenta. Lett App Microbiol 2009;48(1):8–12.
  3. 3. Jiménez E, Fernández L, Marín ML, Martín R, Odriozola JM, Nueno-Palop C, et al. Isolation of commensal bacteria from umbilical cord blood of healthy neonates born by caesarean section. Curr Microbiol 2005;51(4):270–274. pmid:16187156
  4. 4. Huttenhower C, Gevers D, Knight R, Abubucker S, Badger JH, Chinwalla AT, et al. Structure, function and diversity of the healthy human microbiome. Nature 2012;486(7402):207–214. pmid:22699609
  5. 5. Funkhouser LJ, Bordenstein SR. Mom knows best: the universality of maternal microbial transmission. PLoS Biol 2013;11(8):e1001631. pmid:23976878
  6. 6. Steel JH, Malatos S, Kennea N, Edwards AD, Miles L, Duggan P, et al. Bacteria and inflammatory cells in fetal membranes do not always cause preterm labor. Pediatr Res 2005;57(3):404–411. pmid:15659699
  7. 7. Martín R, Langa S, Reviriego C, Jimínez E, Marín ML, Xaus J, et al. Human milk is a source of lactic acid bacteria for the infant gut. J Pediatr. 2003;143(6):754–758. pmid:14657823
  8. 8. Salter SJ, Cox MJ, Turek EM, Calus ST, Cookson WO, Moffat MF, et al. Reagent and laboratory contamination can critically impact sequence-based microbiome analyses. BMC Biol 2014;12:87. pmid:25387460
  9. 9. Hold GL, Schwiertz A, Aminov RI, Blaut M, Flint HJ. Oligonucleotide probes that detect quantitatively significant groups of butyrate-producing bacteria in human feces. Appl Environ Microbiol. 2003;69(7):4320–4324. pmid:12839823
  10. 10. Harmsen HJM, Elfferich P, Schut F, Welling GW. A 16S rRNA-targeted probe for detection of lactobacilli and enterococci in faecal samples by fluorescent in situ hybridization. Microb Ecol Health Dis 1999;11(1):3–12.
  11. 11. Walker AW, Duncan SH, McWilliam C, Leitch E, Child MW, Flint HJ. pH and peptide supply can radically alter bacterial populations and short-chain fatty acid ratios within microbial communities from the human colon. Appl Environ Microbiol 2005;71(7):3692–3700. pmid:16000778
  12. 12. Gey A, Werckenthin C, Poppert S, Straubinger RK. Identification of pathogens in mastitis milk samples with fluorescent in situ hybridisation. J Vet Diag Invest 2013; 25(3):386–394.
  13. 13. Ramirez-Farias C, Slezak K, Fuller Z, Duncan A, Holtrop G, Louis P. Effect of inulin on the human gut microbiota: Stimulation of bifidobacterium adolescentis and faecalibacterium prausnitzii. Br J Nutr. 2009;101(4):533–542.
  14. 14. Bekkali N, Hamers SL, Schipperus MR, Reitsma JB, Valerio PG, Van Toledo L, et al. Duration of meconium passage in preterm and term infants. Arch Dis Child Fetal Neonatal Ed. 2008;93(5):F376–379. pmid:18285377
  15. 15. Ardissone AN, de la Cruz DM, Davis-Richardson AG, Rechcigl KT, Li N, Drew JC, et al. Meconium microbiome analysis identifies bacteria correlated with premature birth. PLoS ONE 2014;9(3):e90784. pmid:24614698
  16. 16. Moles L, Gómez M, Heilig H, Bustos G, Fuentes S, de Vos W, et al. Bacterial diversity in meconium of preterm neonates and evolution of their fecal microbiota during the first month of life. PLoS ONE 2013;8(6):e66986. pmid:23840569
  17. 17. Madan JC, Salari RC, Saxena D, Davidson L, O'Toole GA, Moore JH, et al. Gut microbial colonisation in premature neonates predicts neonatal sepsis. Arch Dis Child Fetal Neonatal Ed. 2012;97(6):F456–462. pmid:22562869
  18. 18. Mshvildadze M1, Neu J, Shuster J, Theriaque D, Li N, Mai V.Intestinal Microbial ecology in premature infants assessed with non–culture-based techniques. J Pediatr. 2010;156(1):20–25. pmid:19783002
  19. 19. Makino H, Kushiro A, Ishikawa E, Kubota H, Gawad A, Sakai T, et al. Mother-to-infant transmission of intestinal Bifidobacterial strains has an impact on the early development of vaginally delivered infant's microbiota. PLoS ONE 2013;8(11):e78331. pmid:24244304
  20. 20. Hu J, Nomura Y, Bashir A, Fernandez-Hernandez H, Itzkowitz S, Pei Z et al. Diversified microbiota of meconium is affected by maternal diabetes status. PLoS ONE 2013;8(11):e78257. pmid:24223144
  21. 21. 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. PNAS 2010;107(26):11971–11975. pmid:20566857
  22. 22. Guarner F, Malagelada JR. Gut flora in health and disease. Lancet. 2003;361(9356):512–519. pmid:12583961