Open Access

Rapid change of fecal microbiome and disappearance of Clostridium difficile in a colonized infant after transition from breast milk to cow milk

Microbiome20164:53

https://doi.org/10.1186/s40168-016-0198-6

Received: 15 June 2016

Accepted: 23 September 2016

Published: 7 October 2016

Abstract

Background

Clostridium difficile is the most common known cause of antibiotic-associated diarrhea. Upon the disturbance of gut microbiota by antibiotics, C. difficile establishes growth and releases toxins A and B, which cause tissue damage in the host. The symptoms of C. difficile infection disease range from mild diarrhea to pseudomembranous colitis and toxic megacolon. Interestingly, 10–50 % of infants are asymptomatic carriers of C. difficile. This longitudinal study of the C. difficile colonization in an infant revealed the dynamics of C. difficile presence in gut microbiota.

Methods

Fifty fecal samples, collected weekly between 5.5 and 17 months of age from a female infant who was an asymptomatic carrier of C. difficile, were analyzed by 16S rRNA gene sequencing.

Results

Colonization switching between toxigenic and non-toxigenic C. difficile strains as well as more than 100,000-fold fluctuations of C. difficile counts were observed. C. difficile toxins were detected during the testing period in some infant stool samples, but the infant never had diarrhea. Although fecal microbiota was stable during breast feeding, a dramatic and permanent change of microbiota composition was observed within 5 days of the transition from human milk to cow milk. A rapid decline and eventual disappearance of C. difficile coincided with weaning at 12.5 months. An increase in the relative abundance of Bacteroides spp., Blautia spp., Parabacteroides spp., Coprococcus spp., Ruminococcus spp., and Oscillospira spp. and a decrease of Bifidobacterium spp., Lactobacillus spp., Escherichia spp., and Clostridium spp. were observed during weaning. The change in microbiome composition was accompanied by a gradual increase of fecal pH from 5.5 to 7.

Conclusions

The bacterial groups that are less abundant in early infancy, and that increase in relative abundance after weaning, likely are responsible for the expulsion of C. difficile.

Keywords

C. difficile Infant gut microbiomeHuman milk

Background

Clostridium difficile (C. difficile), a gram-positive spore-forming anaerobic bacterium, accounts for half a million cases of diarrhea [1] and 14,000 deaths [2] annually in the USA. The symptoms of C. difficile disease in adults range from mild diarrhea to pseudomembranous colitis and toxic megacolon. Up to 50 % of infants are asymptomatic carriers of C. difficile [35]. The percentage of infants colonized is higher at the beginning of life, an average of 37 % at 1 month of age [6], and declines to 30 % between 1 and 6 months of age. At the end of the first year, the colonization rate drops to 10 % [6]. The cause of this decrease in colonization is unknown, and most studies have reported data through these events as an aggregate of many individuals, unlinked to specific events in each participant during that timeframe. C. difficile disease results from tissue damage caused by two toxins, A (TcdA) and B (TcdB), which are produced by toxigenic C. difficile strains. Surprisingly, toxin concentration in asymptomatic infants can be similar to the level in adults with pseudomembranous colitis [7].

C. difficile infection (CDI) is associated with a disturbance in gut microbiota. Antibiotic exposure is the most important risk factor for CDI. The usage of broad-spectrum antibiotics, such as clindamycin, aminopenicillins, cephalosporins, and fluoroquinolones disturbs the normal gut microbiota and predisposes persons to subsequent CDI [810]. Restoration of the disturbed microbiota by bacteriotherapy is effective in treating recurrent CDI [11].

The high C. difficile colonization rate in infants may be contributed to the fact that the commensal microbiota in pre-weaned infants dominated by Bifidobacterium spp. and Lactobacillus spp. [12] might be more permissive to the colonization of C. difficile than adult microbiota dominated by Bacteroidetes spp. and Firmicutes spp. [13]. The gut microbiome structure can be rapidly altered by changes in diet [14]. Thus, the notable differences in diet likely contribute to the difference in the microbiota composition of infant and adult gut. The most significant change of diet in infancy is weaning. Weaning is the process of introducing an infant to an adult diet and withdrawing the supply of mother’s milk. In this study, weaning refers to the transition from human milk to cow milk with the same supplemental solid food intake. We observed in this study that weaning was associated with the maturation of infantile gut microbiota to adult-like gut microbiota.

The aim of this study was to evaluate C. difficile colonization in an infant pre- and post-weaning. Solid food was introduced at the age of 4 months with the continued feeding of human milk before stool collection began. The major change in the infant’s diet was the cessation of breast milk and introduction to cow milk at a single day around the age of 12 months. Fecal samples were collected from an infant weekly from 5.5 months of age to 17 months of age. The infant was an asymptomatic carrier at the beginning of the study and transitioned to C. difficile negative during the testing period. The composition of infant fecal microbiota was analyzed retrospectively to investigate the cause of the disappearance of C. difficile. We hypothesize that breast milk promotes infant-like gut microbiota which allows the colonization of C. difficile.

Methods

Infant and sample collection

A female infant was identified as an asymptomatic carrier of C. difficile at age 5.5 month using a combination of immunoassay detection of glutamate dehydrogenase (GDH) and bacterial culture. The infant stool sample was tested positive for GDH on C. DIFF QUIK CHEK COMPLETE® (TechLab, Inc, Blacksburg, VA), and C. difficile colonies were isolated from infant stool samples using ethanol-shock spore enrichment method [15]. The infant was delivered through Cesarean delivery and fed exclusively with breast milk until the age of 4 months when solid food was gradually introduced. Solid food included oatmeal, fruits, yogurt, and protein such as tofu, eggs, and meat. The composition of solid food remained constant throughout the duration of sample collection. An average of 20 oz. of human milk or cow milk was consumed daily throughout this study. Formula was never given to the infant. Fecal samples were collected weekly for 50 weeks starting on 1 Nov. 2013 when the infant was 5.5 months of age. Samples were collected at home and stored at 2–8 °C overnight before they were aliquoted and stored frozen at −20 °C until analyzed. The study was approved by the TechLab Institutional Review Board and included informed consent obtained from the mother.

Measurement of pH of fecal samples

Fecal samples stored at −20 °C were thawed, brought to room temperature, and homogenized. The pH of fecal samples was measured by placing Micro Combination pH Electrode (Thermo Scientific, Waltham, MA) directly into the center of the homogenized samples at room temperature.

C. difficile isolation and ribotyping

C. difficile isolation was done using ethanol-shock spore enrichment method [15]. Tenfold serial dilutions were made before plating on to cycloserine-cefoxitin-fructose agar (CCFA) plates for spore count. Isolated colonies were used to inoculate prereduced, anaerobically sterilized brain heart infusion broth (Anaerobe Systems, Morgan Hill, CA) and the inoculated media was incubated at 37 °C for 72 hours anaerobically. Genomic DNA was isolated from C. difficile colonies and PCR ribotype was determined using the procedure developed by Stubbs et al. [16].

C. difficile antigen and toxin quantification

The amount of GDH, quantified to nanogram over gram on an ELISA (C. DIFF CHEK® - 60, TechLab, Inc, Blacksburg, VA) using a standard curve generated with recombinant GDH, was used to indicate the presence of metabolically active vegetative C. difficile in fecal samples. The presence or absence of toxin A and B was determined by C. DIFF QUIK CHEK COMPLETE® (TechLab, Inc, Blacksburg, VA). Toxin B in the fecal samples was confirmed by the TOX-B TEST (TechLab, Inc, Blacksburg, VA). Toxin B-specific cytotoxicity was confirmed by the neutralization of fecal samples using toxin B-specific antibodies on human foreskin cells (Diagnostic Hybrids, Athens, OH). Briefly, fecal supernatant fluids were prepared from specimens diluted 1:10 and clarified by centrifugation and filtration. The cytotoxicity neutralization with specific antitoxin was recorded 48 h post-inoculation. Fecal samples that tested positive on the TOX-B TEST were diluted tenfold and re-tested for further titration.

Sample preparation for 16S rRNA gene analysis

Genomic DNA was isolated from 50 stool samples with PowerSoil DNA Isolation Kit (MoBio), following the manufacturer’s instructions. The V4 region of 16S rRNA gene was amplified with forward primer 515F and GoLay barcoded 806R reverse primers [17]. Duplicate PCRs were set up using different reverse primers to verify the reproducibility of the amplification. The resulting 100 amplicons were purified with QIAquick PCR Purification Kit (Qiagen, Hilden, Germany) and pooled and sequenced by paired-end of 150 cycles on a MiSeq sequencer (Illumina, San Diego, CA, USA). The average results of the two technical duplicates were used in the subsequent analyses.

Taxonomy assignments and community structure analyses

The sequencing results were processed using Quantitative Insights Into Microbial Ecology (QIIME) [18]. The bi-directional reads were joined using QIIME’s default join_paired_ends script. The merged reads were filtered based on Phred quality score ≥20, which corresponds to sequencing error rate ≤0.01. Chimeras were identified using USEARCH61 [19] and removed from downstream analysis. After the removal of chimeras, the remaining sequences were mapped into operational taxonomic units (OTUs) against the Greengenes reference sequences (version 2013.5) with the program UCLUST [19]. Microbial taxonomy was assigned using a naïve Bayesian classifier trained with the Greengenes 2013.5 reference sequences [20, 21]. The level of species was classified by running BLAST [22] against the Greengenes data set. OTUs which showed significant change in relative abundance was identified using QIIME’s “group_significance.py” script with Kruskal-Wallis test. Principle coordinates were calculated using unweighted UniFrac metrics [23]. QIIME commands used to generate the principal coordinate plots were included in Additional file 1.

Results

Fluctuation of C. difficile colony count and ribotype switch in a colonized infant

The transition from human milk to cow milk paralleled with rapid disappearance of C. difficile in this study. The infant was initially culture positive for C. difficile and remained positive for a period of 292 days. GDH, a metabolic enzyme produced by vegetative C. difficile, was quantified and used as a marker to indicate the active growth of vegetative C. difficile. Among the samples that were culture positive for C. difficile, a variation of GDH level between less than 1 ng to over 9000 ng GDH per gram of feces was observed (Fig. 1a). The number of C. difficile spores in feces was also performed on a subset of the samples to check the bacterial load. The lowest spore count for C. difficile positive stools was 4.0 × 103/g in samples collected on days 216 and 258 of the testing period. The highest spore count was 7 × 108/g in the samples collected on day 6 and 68. Based on spore counts, we observed a more than 100,000-fold decrease in C. difficile load between day 68 and days 80 and 216. Note that although the amount of GDH reflects the amount of vegetative cells present in samples, the amount of GDH does not strictly correlate with the spore count of C. difficile from the same fecal sample. No detectable amount of GDH was present in samples collected on and after day 278 to the end of the testing period, confirming along with the absence of cultivable C. difficile, the disappearance of C. difficile.
Fig. 1

The dynamics of C. difficile colonization and microbiome composition in infant samples. a The amount of GDH quantified by ELISA was used to indicate the relative abundance of C. difficile in infant fecal samples. Samples that tested positive for C. difficile toxins are indicated by black bars while samples that tested negative for toxins are indicated by open bars. C. difficile spore ribotype and spore count are presented for a subset of samples. The switch from mother’s milk to cow milk was indicated with the purple arrowed lines. Sample collection started on day 1 when the infant was 5.5 months old. b The microbiome composition of infant fecal samples are profiled at the phylum level. The microbiota samples are grouped by hierarchical clustering based on UniFrac distances. Samples collected before weaning and samples collected after weaning formed two distinct clusters

Eleven out of 50 stool samples were positive for C. difficile cytotoxicity over a 191-day period. In Fig. 1a, samples that tested positive for toxins are indicated with solid black bars, whereas samples that were negative for toxins are represented with open bars. Toxigenic C. difficile was first detected on day 68. A switching between toxin negative samples and toxin positive samples was observed throughout 2/3 of the testing period. Interestingly, based on toxin titration in cytotoxicity assays, samples collected on days 68, 74, and 96 contained 10 times higher amounts of toxin than amounts shown to cause severe CDI in adults, yet the infant remained asymptomatic.

Ribotyping was performed periodically to identify the ribotypes of the C. difficile isolated from a subset of stool samples (Fig. 1a). For the first 60 days of the testing period, non-toxigenic ribotype 010 was present. In the sample collected on day 68, the first toxin positive sample in the series, both non-toxigenic ribotype 010 and toxigenic ribotype 014/020 were detected. Ribotype 014/020 was also identified in toxin positive samples collected on days 88, 188, 258, and 271. The sample collected on day 271 contained no detectable amount of toxin by cytotoxicity assay and showed a low GDH level. Although 014/020 has been reported to be the most commonly identified ribotype of C. difficile isolated from diarrheic pediatric CDI cases [24], all stool samples containing 014/020 in this study were solid and the infant remained asymptomatic.

Rapid change in microbiota composition at phylum level after weaning

Diet greatly influence gut microbiome [14] by providing various substrates that promote the growth of different groups of bacteria. At the beginning of the study, the infant was 5.5 months of age with solid food already introduced. The pH of the fecal samples was tested. Breastfed infants produce stool with pH around 5, which was also observed at the beginning of this study (Fig. 2). The fecal pH gradually increased to 7 toward the end of the sample collection. Coincide with the increase of pH of infant fecal samples, a gradual increase of microbial diversity represented by Shannon diversity index [18] was observed throughout this study (Additional file 2: Figure S1).
Fig. 2

Gradual pH increase in infant fecal samples. The pH of infant fecal samples collected weekly from 5.5 months of age (day 1) to 17 months of age (day 363) were tested. Weaning occurred on day 224. The samples collected before weaning are represented by blue squares while samples collected after weaning are represented by red squares. A gradual pH increase was observed throughout the test period

To investigate the exclusion of C. difficile from the colonized infant, microbial structure was analyzed by 16S rRNA gene sequencing of the total microbial community. Taxonomy assignments and community structure analyses were done as described [25]. In Fig. 1b, the structure of the fecal microbiota is displayed and color-coded by the various bacterial phyla that were present. A striking decrease of Actinobacteria was observed between samples collected on days 224 and 230. The record of diet revealed the complete termination of human milk feeding on day 225. Further analysis of the ratio of dominant bacterial phyla indicated that within 5 days from the cessation of human milk and its replacement by cow milk, the Bacteroidetes to Firmicutes ratio increased dramatically while the Actinobacteria to Firmicutes ratio decreased slightly (Fig. 3). These changes in the microbiome structure were sustained for 134 days till the end of the testing period. The Bacteroidetes to Firmicutes ratio started to increase on days 216 and 224, just before the cessation of human milk. On these days, small amounts (approximately 4 oz) of cow milk were given to the infant in addition to human milk. Whether addition of cow milk initiated these changes in the microbiome remains to be determined.
Fig. 3

Weaning changes the ratio of bacteria phyla in the infant gut. When the infant was weaned off breast milk to cow milk, the Bacteroidetes to Firmicutes ratio increased dramatically and the Actinobacteria to Firmicutes ratio decreased slightly. Weaning happened between sample points day 224 and 230

The rapid change in microbial structure that occurred within 5 days of weaning was also indicated in a principal coordinate analysis based on unweighted UniFrac metrics (Fig. 4). Microbial community structures were distributed into two distinct clusters that represent pre-weaning and post-weaning fecal samples. Data representing days 224 and 230 were both in the positions connecting the two communities of data points, indicating that a major transition of microbial structure occurred simultaneously with weaning.
Fig. 4

The structure of microbial communities is distinct before and after weaning. Principal coordinate analysis based on unweighted UniFrac metrics indicates that microbiota community structures are distinct between pre-weaning (blue dots) and post-weaning (red squares) fecal samples. Weaning happened between experiment days 224 and 230. On experiment day 292 when the infant produced two loose stools, significant alteration of the microbiota composition was observed

Microbial structure change at genus and species level coincided with weaning

A second comparison of microbiota composition, with data gathered into pre-weaning (days 1–224) and post-weaning (days 225–363) groups, was done using a parametric t test (p values <0.005). At the genus level, the relative abundance of Bacteroides spp., Blautia spp., Parabacteroides spp., Coprococcus spp., Ruminococcus spp., and Oscillospira spp. dramatically increased post-weaning while the relative abundance of Bifidobacterium spp., Lactobacillus spp., Escherichia spp., and Clostridium spp. decreased (Fig. 5). The phylogenetic designation of the genera which changed significantly during weaning are summarized in Additional file 3: Table S1.
Fig. 5

Genera of bacteria which changed significantly before and after weaning. The comparison of microbiota composition pre- and post-weaning was done using parametric t test (p values <0.005). The relative abundance of bacteria genera was calculated as percentage of the total bacteria detected. The relative abundance of Bifidobacterium spp., Lactobacillus spp., Escherichia spp., and Clostridium spp. decreased post-weaning while the relative abundance of Bacteroides spp., Blautia spp., Parabacteroides spp., Coprococcus spp., Ruminococcus spp., and Oscillospira spp. increased

In addition, 69 operational taxonomic units (OTUs) showed significant change in relative abundance pre- and post- weaning (FDR p value ≤0.01). The majority of these OTUs were assigned to species that have not been isolated in culture. Among the cultivable species, Bifidobacterium adolescentis, Bifidobacterium bifidum, Escherichia coli, and Lactobacillus zeae were more abundant before weaning, whereas Bacteroides caccae, Bacteroides uniformis, Corynebacterium durum, Ruminococcus callidus, Ruminococcus gnavus, and Ruminococcus torques were more abundant after weaning (Table 1).
Table 1

Weaning led to a change in relative abundance of 10 cultivable bacteria species

Species name

Representing OTUs

FDR P value

Change in relative abundance after weaning

Bacteroides caccae

5

1.55 × 10−7

Increase

Bacteroides uniformis

3

1.08 × 10−4

Increase

205

1.07 × 10−5

326

2.91 × 10−5

Corynebacterium durum

109

1.43 × 10−3

Increase

Ruminococcus callidus

65

7.13 × 10−3

Increase

Ruminococcus gnavus

6

5.09 × 10−5

Increase

217

3.50 × 10−5

249

2.30 × 10−6

322

2.83 × 10−3

Ruminococcus torques

28

4.96 × 10−7

Increase

Bifidobacterium adolescentis

128

3.57 × 10−5

Decrease

180

2.39 × 10−3

233

2.05 × 10−3

329

5.23 × 10−7

Bifidobacterium bifidum

162

6.61 × 10−4

Decrease

267

2.55 × 10−4

Escherichia coli

1

3.50 × 10−5

Decrease

121

3.06 × 10−3

131

1.73 × 10−3

144

1.83 × 10−4

189

7.93 × 10−3

223

2.47 × 10−3

243

7.41 × 10−4

Lactobacillus zeae

4

2.66 × 10−3

Decrease

169

3.21 × 10−3

247

2.83 × 10−3

Discussion

The primary goal of this study was to investigate the dynamics of C. difficile colonization in an infant before and after the transition from human milk to cow milk. The high rate of asymptomatic carriage of C. difficile in infants is well documented but until now the transition from carrier state to non-carrier state has not been characterized. We conducted a longitudinal study on an infant to investigate the transition from C. difficile colonization to a C. difficile-negative state. When sample collection of this study started the infant was colonized with 7.0 × 107 CFU/g of C. difficile spores per gram of feces at 5.5 months of age. When the study ended, the infant was 17 months old and was free of C. difficile. As high as 7.1 × 108 CFU/g of toxigenic C. difficile was detected in a sample collected on day 68. This bacterial load was high enough to cause CDI in adults [26] but did not cause diarrhea in this infant. The amount of GDH, which is produced by vegetative C. difficile, was quantified on an ELISA as an indicator of vegetative growth. Close to 10,000 ng/g feces of GDH was detected in the stool collected on experiment day 88. Less than 20 ng/g feces of GDH concentration was detected in the last 10 samples (days 278 to 363), confirming the diminished growth of C. difficile. This is the first study to use the combination of GDH concentration and spore count to investigate the dynamics of both vegetative and spore forms of C. difficile, respectively, in a colonized infant. The presence of GDH was shown to be both a sensitive and specific biomarker of C. difficile [27]. The high spore count of C. difficile in the infant stool makes infants reservoirs of C. difficile.

Ribotype switches between non-toxigenic and toxigenic C. difficile were captured in this longitudinal study. At the beginning of the testing period, the infant was colonized with non-toxigenic C. difficile ribotype 010. On day 68, a mixture of non-toxigenic ribotype 010 and toxigenic ribotype 014/020 coexisted. On day 88, only toxigenic ribotype 014/020 was isolated (Fig. 1a). The acquisition of two different strains of C. difficile indicates that C. difficile can be acquired from the environment, and the colonization with different strains of C. difficile represented transient events. Although the C. difficile spore counts and GDH amounts varied, colonization with C. difficile was sustained throughout the human milk-fed stage from day 1 to 224.

Samples collected on days 68, 74, 88, and 96 contained 10 times the amount of C. difficile toxin that can cause C. difficile disease in adults, yet the infant remained asymptomatic on these days. This is consistent with the report from Viscidi et al. that the concentrations of toxins in the stool of healthy infants can reach the levels of toxins that cause severe disease in adults [7]. This study is one of the first to document the extreme temporal variability of both vegetative cells and spores that can be present in an asymptomatic infant. The ineffectiveness of toxins on infants was hypothesized to be due to the lack of receptor on infant gut epithelial cells [28] but such receptor has not been identified.

A second goal of this study was to document the detailed longitudinal changes in gut microbiota during the first year and a half of life of an infant. The maturation of infant microbiota is thought to be a gradual process until reaching the composition of adult microbiota at the age of 3 years [29]. However, in this unique case of an infant experiencing abrupt termination of human milk feeding and transition to cow milk feeding, the infant microbiota shifted from Bifidobacterium spp. and Lactobacillus spp. dominated microbiota to Bacteroidetes spp. and Firmicutes spp. dominated microbiota within 5 days. It appears that cessation of breastfeeding rather than introduction of solid foods caused the shift from Bifidobacterium spp. and Lactobacillus spp. dominated microbiota to Bacteroidetes spp. and Firmicutes spp. dominated microbiota, as solid foods had been introduced 6 weeks before the start of the study and continued to be part of the infant’s diet. This agrees with the results of Backhed et al. [12]. There are significant differences between human milk and cow milk. Human milk contains less than half the protein, about 50 % more lactose [30] and a significantly higher amount of oligosaccharides [31, 32]. The oligosaccharides in human milk are resistant to digestion in the small intestines and promote the growth of Bifidobacteria once they reach the colon [33, 34]. The differences in composition of human milk and cow milk produce environments that favor different groups of bacteria pre- and post-weaning. The timing of microbiota maturation may then be more dependent on the timing of weaning than is currently recognized. For example, the sudden decrease of oligosaccharides after the cessation of human milk feeding may explain the rapid decrease of Bifidobacteria after weaning observed in this study.

The disappearance of C. difficile after weaning also coincided with the shift from Bifidobacterium spp. and Lactobacillus spp. dominated microbiota to Bacteroidetes spp. and Firmicutes spp. dominated microbiota. C. difficile does not carry the genes to synthesize hydrolytic enzymes capable of cleaving monosaccharides from oligosaccharide side chains [35] and must depend upon acquisition of sugars from other members of the colonic microbiome. Bifidobacterium bifidum, which is abundant in infant microbiota, is capable of degrading mucin O-glycans [36]. Free sialic acid, the mucin degradation product made by Bifidobacterium bifidum, serves as an energy source of C. difficile [37]. Infantile gut microbiota likely accommodate C. difficile by producing metabolic substrates such as free sialic acid. A significant decrease of Bifidobacterium bifidum was observed after weaning in this study. The relative abundance of C. difficile positively correlated with the relative abundance of OTUs 162 and 267 representing C. bifidum with coefficients 0.37 and 0.29 and p values 0.007 and 0.04, respectively. The decreased relative abundance of free sialic acid-producing bacterial species restricts the energy source of C. difficile and may contribute to the disappearance of C. difficile.

In addition, adult gut microbiota form a barrier against C. difficile colonization by competing for metabolic substrates and producing inhibitors against C. difficile [38]. For example, an inverse association between C. difficile and the relative abundance of members of the Bacteroidetes phylum and of other Clostridium spp. in human intestines has been observed [39]. Bacteroides spp. have been shown to form a resistance barrier against C. difficile by competing for monomeric sugars such as glucose, N-acetylglucosamine, succinate, and sialic acids [35, 4043]. The percentage of Bacteroides spp. increased from 0.02 to 48 % in the gut microbiota from the first sample to the last sample in our study. In particular, Bacteroides caccae and Bacteroides uniformis were more abundant post-weaning. The increase of Bacteroides spp. after weaning limited the carbon source of C. difficile and therefore contributed to the disappearance of C. difficile.

The barrier against C. difficile colonization in Bacteroidetes spp. and Firmicutes spp. dominated microbiota also results from metabolic products produced by the adult-like microbiota that inhibit the germination and growth of C. difficile. For example, bile acids strongly influence the germination of C. difficile spores and the growth of vegetative C. difficile cells. Primary bile acids stimulate C. difficile spore germination [44] whereas secondary bile acids inhibit the growth of vegetative C. difficile [45, 46]. Importantly, the dynamic balance of bile acid composition in the colon is influenced by the commensal bacterial species in the gut. Primary bile acids are deconjugated by bacteria, such as Clostridium scindens, and further modified into secondary bile acids which are inhibitory to C. difficile in the colon [47]. Ruminococcus gnavus, one of the cultivable bacteria species identified in this study that increased in relative abundance after weaning, converts lithocholate to ursodeoxycholate and plays a major role in ursodeoxycholate formation in the colon [48]. Ursodeoxycholate inhibits C. difficile spore germination [45]. The increased level of R. gnavus after weaning may further contribute to the disappearance of C. difficile by increasing the concentration of ursodeoxycholate in the colon.

Previous studies have indicated that Ruminococcus callidus is part of the resistance barrier against C. difficile. R. callidus was found to be more abundant in healthy people than in Crohn’s disease patients, who are also at higher risk of CDI [49, 50]. R. callidus is associated with the gut mucosa and is restored after fecal transplants [51]. In our study, the increased relative abundance of R. callidus after weaning may contribute to the disappearance of C. difficile.

Whether children under the age of 2 should be tested and/or treated for CDI is debatable. Rates of positive C. difficile tests were the same among children with or without diarrhea [52]. More than 20 % of children with diarrhea who tested positive for C. difficile also tested positive for other pathogens, making it difficult to determine whether C. difficile was the true cause of diarrhea or part of the commensal microbiota [53]. Even when children under 2 years of age were diagnosed with CDI, the outcomes of treated and untreated CDI were not significantly different [54]. The guidelines published by the National Health Services (NHS) in Britain suggested that children under the age of 2 not be tested for CDI [55]. In this study, the toxin was not detectable by cytotoxicity assay in the sample collected on day 271, but C. difficile 014/020 could be grown on CCFA plates and its DNA ribotyped. Thus, although present, the 014/020 C. difficile was not producing toxin. These results demonstrate once again that even when toxigenic C. difficile can be detected by molecular means, it may not be causing disease. Molecular assays targeting genes encoding the C. difficile toxins will, in such cases, produce false positive results. Whether toxigenic C. difficile causes disease or not appears to depend on the age-related susceptibility of children and the composition of the gut microbiota. Better understanding of the colonization of C. difficile in children will lead to accurate diagnosis and proper treatment of CDI in children.

Conclusions

This longitudinal study of C. difficile colonization in an infant revealed up to 105-fold fluctuation of C. difficile count, colonization with both non-toxigenic and toxigenic C. difficile strains, as well as rapid shift from Bifidobacterium spp. and Lactobacillus spp. dominated microbiota to Bacteroidetes spp. and Firmicutes spp. dominated microbiota within 5 days of weaning from human milk. The disappearance of C. difficile after weaning likely is due to a resistance barrier formed by the adult-like microbiota. Bacteria species identified in this study that are more abundant in adult-like post-weaning microbiota may be components of the resistant barrier against CDI.

Abbreviations

CCFA: 

Cycloserine-cefoxitin-fructose agar

CDI: 

C. difficile infection

GDH: 

Glutamate dehydrogenase

NHS: 

National Health Services

OTUs: 

Operational taxonomic units

QIIME: 

Quantitative Insights Into Microbial Ecology

TcdA: 

Clostridium difficile toxin A

TcdB: 

Clostridium difficile toxin B

Declarations

Acknowledgements

The authors would like to thank Lauren Sarver for help with sample preparation, Dr. David Lyerly and Dr. Janice Buss for reviewing the manuscript.

Funding

This research was supported by TechLab’s internal R&D funding.

Availability of data and supporting materials

The datasets generated during the current study are available in the Sequence Read Archive (SRA) repository at http://www.ncbi.nlm.nih.gov/sra/SRP079699.

Authors’ contributions

MD, JB, and RC developed study concept and design; LB acquired the data; HZ analyzed the data; MD wrote the manuscript. All authors read and approved the final manuscript.

Competing interests

The authors declare that they have no competing interests.

Consent for publication

Not applicable

Ethics approval and consent to participate

TechLab IRB #1 (IRB00003505 expires 02/24/2019; FWA00019859 expires 02/06/2018) approved the relevant protocol, “Fecal samples from donors with confirmed or suspected illness” on 3/12/2013 and again on 3/2/2016.

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
TechLab, Inc.
(2)
Virginia Polytechnic Institute and State University

References

  1. Lessa FC, et al. Burden of Clostridium difficile infection in the United States. N Engl J Med. 2015;372(24):2369–70.PubMedGoogle Scholar
  2. Mergenhagen KA, Wojciechowski AL, Paladino JA. A review of the economics of treating Clostridium difficile infection. Pharmacoeconomics. 2014;32(7):639–50.View ArticlePubMedGoogle Scholar
  3. Donta ST, Myers MG. Clostridium difficile toxin in asymptomatic neonates. J Pediatr. 1982;100(3):431–4.View ArticlePubMedGoogle Scholar
  4. Collignon A, et al. Heterogeneity of Clostridium difficile isolates from infants. Eur J Pediatr. 1993;152(4):319–22.View ArticlePubMedGoogle Scholar
  5. Rousseau C, et al. Clostridium difficile colonization in early infancy is accompanied by changes in intestinal microbiota composition. J Clin Microbiol. 2011;49(3):858–65.View ArticlePubMedPubMed CentralGoogle Scholar
  6. Jangi S, Lamont JT. Asymptomatic colonization by Clostridium difficile in infants: implications for disease in later life. J Pediatr Gastroenterol Nutr. 2010;51(1):2–7.View ArticlePubMedGoogle Scholar
  7. Viscidi R, Willey S, Bartlett JG. Isolation rates and toxigenic potential of Clostridium difficile isolates from various patient populations. Gastroenterology. 1981;81(1):5–9.PubMedGoogle Scholar
  8. Freeman J, Wilcox MH. Antibiotics and Clostridium difficile. Microbes Infect. 1999;1(5):377–84.View ArticlePubMedGoogle Scholar
  9. Spencer RC. The role of antimicrobial agents in the aetiology of Clostridium difficile-associated disease. J Antimicrob Chemother. 1998;41(Suppl C):21–7.View ArticlePubMedGoogle Scholar
  10. Pepin J, et al. Emergence of fluoroquinolones as the predominant risk factor for Clostridium difficile-associated diarrhea: a cohort study during an epidemic in Quebec. Clin Infect Dis. 2005;41(9):1254–60.View ArticlePubMedGoogle Scholar
  11. Shankar V, et al. Species and genus level resolution analysis of gut microbiota in Clostridium difficile patients following fecal microbiota transplantation. Microbiome. 2014;2:13.View ArticlePubMedPubMed CentralGoogle Scholar
  12. Backhed F, et al. Dynamics and stabilization of the human gut microbiome during the first year of life. Cell Host Microbe. 2015;17(5):690–703.View ArticlePubMedGoogle Scholar
  13. Ardeshir A, et al. Breast-fed and bottle-fed infant rhesus macaques develop distinct gut microbiotas and immune systems. Sci Transl Med. 2014;6(252):252ra120.View ArticlePubMedPubMed CentralGoogle Scholar
  14. David LA, et al. Diet rapidly and reproducibly alters the human gut microbiome. Nature. 2014;505(7484):559–63.View ArticlePubMedGoogle Scholar
  15. Boone JH, et al. Clostridium difficile prevalence rates in a large healthcare system stratified according to patient population, age, gender, and specimen consistency. Eur J Clin Microbiol Infect Dis. 2012;31(7):1551–9.View ArticlePubMedGoogle Scholar
  16. Stubbs SL, et al. PCR targeted to the 16S-23S rRNA gene intergenic spacer region of Clostridium difficile and construction of a library consisting of 116 different PCR ribotypes. J Clin Microbiol. 1999;37(2):461–3.PubMedPubMed CentralGoogle Scholar
  17. Caporaso JG, et al. Ultra-high-throughput microbial community analysis on the Illumina HiSeq and MiSeq platforms. ISME J. 2012;6(8):1621–4.View ArticlePubMedPubMed CentralGoogle Scholar
  18. Caporaso JG, et al. QIIME allows analysis of high-throughput community sequencing data. Nat Methods. 2010;7(5):335–6.View ArticlePubMedPubMed CentralGoogle Scholar
  19. Edgar RC. Search and clustering orders of magnitude faster than BLAST. Bioinformatics. 2010;26(19):2460–1.View ArticlePubMedGoogle Scholar
  20. Wang Q, et al. Naive Bayesian classifier for rapid assignment of rRNA sequences into the new bacterial taxonomy. Appl Environ Microbiol. 2007;73(16):5261–7.View ArticlePubMedPubMed CentralGoogle Scholar
  21. McDonald D, et al. An improved Greengenes taxonomy with explicit ranks for ecological and evolutionary analyses of bacteria and archaea. ISME J. 2012;6(3):610–8.View ArticlePubMedGoogle Scholar
  22. Altschul SF, et al. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. Nucleic Acids Res. 1997;25(17):3389–402.View ArticlePubMedPubMed CentralGoogle Scholar
  23. Lozupone C, Knight R. UniFrac: a new phylogenetic method for comparing microbial communities. Appl Environ Microbiol. 2005;71(12):8228–35.View ArticlePubMedPubMed CentralGoogle Scholar
  24. McFarland LV, et al. Comparison of pediatric and adult antibiotic-associated diarrhea and Clostridium difficile infections. World J Gastroenterol. 2016;22(11):3078–104.View ArticlePubMedPubMed CentralGoogle Scholar
  25. Zhang H, et al. Host adaptive immunity alters gut microbiota. ISME J. 2015;9(3):770–81.View ArticlePubMedGoogle Scholar
  26. Dionne LL, et al. Correlation between Clostridium difficile bacterial load, commercial real-time PCR cycle thresholds, and results of diagnostic tests based on enzyme immunoassay and cell culture cytotoxicity assay. J Clin Microbiol. 2013;51(11):3624–30.View ArticlePubMedPubMed CentralGoogle Scholar
  27. Arimoto J, et al. Diagnostic test accuracy of glutamate dehydrogenase for Clostridium difficile: Systematic review and meta-analysis. Sci Rep. 2016;6:29754.View ArticlePubMedPubMed CentralGoogle Scholar
  28. Eglow R, et al. Diminished Clostridium difficile toxin A sensitivity in newborn rabbit ileum is associated with decreased toxin A receptor. J Clin Invest. 1992;90(3):822–9.View ArticlePubMedPubMed CentralGoogle Scholar
  29. Yatsunenko T, et al. Human gut microbiome viewed across age and geography. Nature. 2012;486(7402):222–7.PubMedPubMed CentralGoogle Scholar
  30. Meigs E, Marsh H. The comparative composition of human milk and of cow’s milk. J Biol Chem. 1913;16:147–68.Google Scholar
  31. Boehm G, et al. Prebiotic carbohydrates in human milk and formulas. Acta Paediatr Suppl. 2005;94(449):18–21.View ArticlePubMedGoogle Scholar
  32. Tao N, et al. Variations in bovine milk oligosaccharides during early and middle lactation stages analyzed by high-performance liquid chromatography-chip/mass spectrometry. J Dairy Sci. 2009;92(7):2991–3001.View ArticlePubMedGoogle Scholar
  33. Engfer MB, et al. Human milk oligosaccharides are resistant to enzymatic hydrolysis in the upper gastrointestinal tract. Am J Clin Nutr. 2000;71(6):1589–96.PubMedGoogle Scholar
  34. Karav S, et al. Oligosaccharides released from milk glycoproteins are selective growth substrates for infant-associated bifidobacteria. Appl Environ Microbiol. 2016;82(12):3622–30.View ArticlePubMedGoogle Scholar
  35. Wilson KH, Perini F. Role of competition for nutrients in suppression of Clostridium difficile by the colonic microflora. Infect Immun. 1988;56(10):2610–4.PubMedPubMed CentralGoogle Scholar
  36. Turroni F, et al. Genome analysis of Bifidobacterium bifidum PRL2010 reveals metabolic pathways for host-derived glycan foraging. Proc Natl Acad Sci U S A. 2010;107(45):19514–9.View ArticlePubMedPubMed CentralGoogle Scholar
  37. Tailford LE, et al. Mucin glycan foraging in the human gut microbiome. Front Genet. 2015;6:81.View ArticlePubMedPubMed CentralGoogle Scholar
  38. Britton RA, Young VB. Role of the intestinal microbiota in resistance to colonization by Clostridium difficile. Gastroenterology. 2014;146(6):1547–53.View ArticlePubMedPubMed CentralGoogle Scholar
  39. Goldberg E, et al. The correlation between Clostridium-difficile infection and human gut concentrations of Bacteroidetes phylum and clostridial species. Eur J Clin Microbiol Infect Dis. 2014;33(3):377–83.View ArticlePubMedGoogle Scholar
  40. Reichardt N, et al. Phylogenetic distribution of three pathways for propionate production within the human gut microbiota. ISME J. 2014;8(6):1323–35.View ArticlePubMedPubMed CentralGoogle Scholar
  41. Brigham C, et al. Sialic acid (N-acetyl neuraminic acid) utilization by Bacteroides fragilis requires a novel N-acetyl mannosamine epimerase. J Bacteriol. 2009;191(11):3629–38.View ArticlePubMedPubMed CentralGoogle Scholar
  42. Hopkins MJ, Macfarlane GT. Changes in predominant bacterial populations in human faeces with age and with Clostridium difficile infection. J Med Microbiol. 2002;51(5):448–54.View ArticlePubMedGoogle Scholar
  43. Hopkins MJ, Macfarlane GT. Nondigestible oligosaccharides enhance bacterial colonization resistance against Clostridium difficile in vitro. Appl Environ Microbiol. 2003;69(4):1920–7.View ArticlePubMedPubMed CentralGoogle Scholar
  44. Wilson KH. Efficiency of various bile salt preparations for stimulation of Clostridium difficile spore germination. J Clin Microbiol. 1983;18(4):1017–9.PubMedPubMed CentralGoogle Scholar
  45. Sorg JA, Sonenshein AL. Chenodeoxycholate is an inhibitor of Clostridium difficile spore germination. J Bacteriol. 2009;191(3):1115–7.View ArticlePubMedGoogle Scholar
  46. Giel JL, et al. Metabolism of bile salts in mice influences spore germination in Clostridium difficile. PLoS One. 2010;5(1):e8740.View ArticlePubMedPubMed CentralGoogle Scholar
  47. Buffie CG, et al. Precision microbiome reconstitution restores bile acid mediated resistance to Clostridium difficile. Nature. 2015;517(7533):205–8.View ArticlePubMedGoogle Scholar
  48. Lee JY, et al. Contribution of the 7beta-hydroxysteroid dehydrogenase from Ruminococcus gnavus N53 to ursodeoxycholic acid formation in the human colon. J Lipid Res. 2013;54(11):3062–9.View ArticlePubMedPubMed CentralGoogle Scholar
  49. Kang S, et al. Dysbiosis of fecal microbiota in Crohn’s disease patients as revealed by a custom phylogenetic microarray. Inflamm Bowel Dis. 2010;16(12):2034–42.View ArticlePubMedGoogle Scholar
  50. Man SM, Kaakoush NO, Mitchell HM. The role of bacteria and pattern-recognition receptors in Crohn’s disease. Nat Rev Gastroenterol Hepatol. 2011;8(3):152–68.View ArticlePubMedGoogle Scholar
  51. Satokari R, et al. Fecal transplantation treatment of antibiotic-induced, noninfectious colitis and long-term microbiota follow-up. Case Rep Med. 2014;2014:913867.PubMedPubMed CentralGoogle Scholar
  52. Denno DM, et al. Diarrhea etiology in a pediatric emergency department: a case control study. Clin Infect Dis. 2012;55(7):897–904.View ArticlePubMedPubMed CentralGoogle Scholar
  53. de Graaf H, et al. Co-infection as a confounder for the role of Clostridium difficile infection in children with diarrhoea: a summary of the literature. Eur J Clin Microbiol Infect Dis. 2015;34(7):1281–7.View ArticlePubMedGoogle Scholar
  54. Gonzalez-Del VecchioM, et al. Clinical significance of clostridium difficile in children less than 2 years of age: a case-control study. Pediatr Infect Dis J. 2016;35(3):281–5.View ArticleGoogle Scholar
  55. Antonara S, Leber AL. Diagnosis of Clostridium difficile infections in children. J Clin Microbiol. 2016;54(6):1425–33.View ArticlePubMedGoogle Scholar

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