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. 2015 Dec 26;35(2):97–103. doi: 10.12938/bmfh.2015-006

A comparative study of bifidobacteria in human babies and adults

Shadi KHONSARI 1, Mayuran SUGANTHY 1, Beata BURCZYNSKA 1, Vu DANG 1, Manika CHOUDHURY 1, Azra PACHENARI 1,*
PMCID: PMC4858883  PMID: 27200263

Abstract

The composition and diversity of the gut microbiota are known to be different between babies and adults. The aim of this project was to compare the level of bifidobacteria between babies and adults and to investigate the influence of lifestyle factors on the level of this bacterium in the gut. During this study, the levels of bifidobacteria in 10 human babies below 2 years of age were compared with that of 10 human adults above 40 years. The level of bifidobacteria proved to be significantly higher in babies in comparison with adults. This investigation concluded that a combination of several factors, such as age, diet, and BMI, has an important effect on the level of bifidobacteria in adults, while in babies, a combination of diet and age may influence the level of intestinal bifidobacteria.

Keywords: bifidobacteria, gut microbiota, age


Although swallowing of amniotic fluid by the fetus has been suggested to be a prenatal source of microorganisms that colonize the GI tract [1], actual colonization starts during and after birth, with the source of the microorganisms being the mother’s fecal and vaginal bacteria, food, the environment, skin contact with other humans, and air [2, 3]. Facultative bacteria such as streptococci, staphylococci, enterococci, and Enterobacteriaceae are the first to colonize the gut due to the presence of a high level of oxygen, but as the level of oxygen is reduced by these microorganisms, the gut environment becomes more favorable for growth of anaerobes such as bifidobacteria, Bacteroides, and clostridia [4, 5]. Two major determinants of the early composition of the gut microbiota are mode of delivery and digestion of breast or formula milk. However, it should be mentioned that currently most baby formulas contain prebiotic compounds that enhance growth of bifidobacteria. During this study, 3 out of ten babies were confirmed to be receiving formula milk containing prebiotics. One baby consumed formula milk that did not contain prebiotics, and no information is available on formula milk consumed by other babies (Table 1). Microorganisms enter the newborn’s gastrointestinal tract from mother’s vaginal and perianal areas [6]. Similar microbial populations are seen in mothers and their infants when infants are delivered vaginally [7]. Caesarean delivery on the other hand deprives the newborn of the mother’s vaginal and fecal microbiota. Chen et al. compared the levels of bifidobacteria and lactobacilli in breast-fed infants who were born vaginally with those of breast-fed infants born by caesarean section and showed that infants that were born vaginally had higher populations of both bifidobacteria and lactobacilli, and they concluded that the population of bifidobacteria was more disturbed than that of lactobacilli in infants that were born by caesarean section [8]. Mother’s milk provides a source of growth factors for bifidobacteria in the gut, which results in an increased population of beneficial bacteria in newborn babies, and it is also suggested to harbor these bacteria [9,10,11,12]. As the infant ages, the gut microbiota matures, and its diversity increases. It is not known at what age exactly the adult microbiota is established, but some studies suggest that after 2 years of age, the gut microbiota becomes more adult-like [13, 14]. A significantly higher diversity in gut microbiota is shown in adults older than 20 years of age in comparison with children of between 1 to 4 years of age, while a higher level of bifidobacteria is reported in children in comparison with adults [15]. Hopkins et al. compared the gut microbiota in children who were 16 months to 7 years of age, adults who were 21 to 34 years of age, and elderly subjects who were 67 to 88 years of age, and reported decreased species diversity and decreased level of bifidobacteria in the elderly group [16]. It is suggested that the changes in gut microbiota associated with aging are due to a decrease in adaptive capacity of the gastrointestinal tract and delayed recovery from illnesses and health conditions [17].

Table 1. Details of the babies shown in order of level of bifidobacteria (lowest to highest). Results are shown as the average of triplet plates and three experiments.

Subject Age (years) Gender Infant CFU/g–1 Weight (kg) Birth mode* Breast milk Formula Prebiotics Solid food
Baby 1 1.66 Female 3 ± 8.62 × 109 11.453 V 0 1 1
Baby 2 1 Female 3.4 ± 0.65 × 109 11 V 0 1 0 1
Baby 3 1.5 Female 6.73 ± 0.2 × 109 10.7 V 0 1 1
Baby 4 1.17 Male 1 ± 0.27 × 1010 12 C 0 1 1 1
Baby 5 1.66 Male 1.02 ± 0.3 × 1010 11.54 C 1 1 1
Baby 6 0.66 Male 1.12 ± 0.21 × 1010 8 V 1 0 1
Baby 7 1 Male 1.37 ± 0.5 × 1010 11 C 1 1 1 1
Baby 8 0.42 Male 2 ± 0.74 × 1010 5.5 C 1 1 1 1
Baby 9 1.33 Male 8.36 ± 13.05 × 1010 10.75 C 0 1 1
Baby 10 1 Male 2.8 ± 9.6 × 1011 10.047 V 1 1 1

*Birth mode: V: vaginal birth, C: caesarean. Breast milk, formula, prebiotics, solid food: 0: not part of diet, 1: part of diet.

The aim of this study was to quantify and compare the population of bifidobacteria in fecal samples from infants who were less than 2 years of age and adults who were above 40 years of age. The impact of diet, body mass index (BMI), smoking, and drinking on the level of bifidobacteria in adults and effect of diet and mode of delivery on bifidobacteria in babies were also investigated.

Ten healthy adults who were over 40 years of age were selected to participate in the study. The subjects maintained their normal lifestyles, did not consume probiotic or prebiotic products for one month before and during the study apart from their routine yoghurt consumption, did not receive any kind of antibiotic or medication that may affect the composition of the gut microbiota for one month before and during the study, did not suffer from any kind of GI tract disease that may affect the gut microbiota, and did not consume alcohol for one month before and during the course of study. Five of the 10 adults were smokers, none were regular alcohol drinkers, and one did not drink at all. When vegetables, fruit, rice, and yoghurt were consumed by participants more than three times a week, they were considered a “regular part of their diet”, and when these types of food were consumed less than three times a week, they were considered a “part of their diet” (Table 2). Ten healthy babies who were less than 2 years of age were selected for participation in the study. They did not receive any kind of antibiotic or medication that may affect the composition of the gut microbiota for one month before and during the study, were born vaginally or by caesarean section, and were bottle or breast-fed (Table 1).

Table 2. Details of the adults shown in order of level of bifidobacteria (lowest to highest). Results are shown as the average of triplet plates and three experiments.

Subject Age (years) Gender Adult CFU/g–1 Adult BMI Smoking Alcohol Meat* Fruit & Veg* Yoghurt*
Adult 1 65 Male 1.3 ± 4.68 × 106 30 Y Y 1 1 1
Adult 2 48 Male 7 ± 63 × 106 31 Y Y 1 1 1
Adult 3 43 Male 7 ± 9.5 × 106 29 Y Y 1 1 1
Adult 4 43 Female 9.43 ± 4.11 × 107 23 Y Y 1 2 2
Adult 5 52 Male 2.37 ± 5.2 × 108 20 N Y 1 2 2
Adult 6 42 Male 2.47 ± 3.1 × 108 24 N Y 1 2 2
Adult 7 41 Female 4.1 ± 1.54 × 108 22 Y Y 1 2 2
Adult 8 60 Male 1.49 ± 0.3 × 109 30 N Y 1 2 0
Adult 9 65 Male 2.5 ± 0.6 × 109 27 N Y 1 2 0
Adult 10 58 Female 5.26 ± 0.91 × 109 21 N N 1 2 2

*Meat, fruit, vegetable and yoghurt: 0: not part of diet, 1: part of diet (less than 3 times per week), 2: regular part of diet (more than 3 times per week)

Adult participants were provided with sterile containers for collection of fecal samples, and samples from babies were collected from their diapers by sterile spatula. Specimens were transferred to the microbiology laboratory of Middlesex University within two hours after collection and serially diluted in PBS containing 0.5 g/l of cysteine hydrochloride. One hundred microliters of each dilution was transferred to triplet plates of BIM-25 and incubated anaerobically at 37° C for 72 hours [18]. This procedure was repeated three times for each participant.

Two colony types grew on every plate: colonies that were pink with a red centre, and pure red colonies. Twenty representatives of each colony type were purified on reinforced clostridial medium (RCM) for identification.

Identification of colonies was achieved by Gram staining, direct colony PCR, and Martix-Assisted Laser Desorption/Ionization Time-of-Flight (MALDI-TOF) Biotyper (Autoflex, Bruker).

Primers designed for 16S rRNA of genus Bifidobacterium, Bifidobacterium longum group (B. longum and Bifidobacterium infantis), and B. longum species (Table 3) were used for amplification of the target gene by direct colony PCR for all isolates based on the conditions recommended by Matsuki et al. [19,20,21]. No template controls (NTCs) as well as a positive control (B. longum NTCC 8809) were included in the analysis with genus-, group-, and species- targeted primers. PCR products were analyzed using an MCE-202 MultiNa Microchip Electrophoresis System (Shimadzu, Japan) and DNA-1000 reagent kit according to the manufacturer’s instructions. Typical results are shown in Fig. 1.

Table 3. Primers used for 16S rDNA colony PCR.

Target bacteria Primer Sequence Reference
Bifidobacterium spp. g-Bifid-F CTCCTGGAAACGGGTGG
g-Bifid-R GGTGTTCTTCCCGATATCTACA (Matsuki et al., 2002)
Bifidobacterium longum group BiLON-1A TTCCAGTTGATCGCATGGTC
BiLON-2A TCSCGCTTGCTCCCCGAT (Matsuki et al., 1998)
Bifidobacterium longum BiLON-1B TTCCAGTTGATCGCATGGTC
BiLON-2B GGGAAGCCGTATCTCTACGA (Matsuki et al., 1999)

Fig. 1.

Fig. 1.

Electropherogram of direct colony PCR products separated by an MCE-202 MultiNa Microchip Electrophoresis System with a DNA-1000 kit (Shimadzu).

Representation of positive isolates A1 and A2, which were amplified with three sets of primers for identification at the genus and species levels. Panel A: Bifidobacterium genus-specific primers were used, and 510 bp products were detected for isolates and the positive control (+ve CTRL). Panel B: Bifidobacterium group primers were used, and 277 bp products were detected. Panel C: species-specific primers were used, and 831 bp products were amplified. The positive control used for all reactions was B. longum (NCTC 8809). The position of the upper (UM) and lower (LM) marker dyes of the MultiNA separation are indicated as is the position of the base pair reference mass markers; bands below 72 bp correspond to primers. The ladder (PhiX174 DNA/Hae III, Promega) showed separate bands between 72 bp and 872 bp. No template controls (NTCs) are shown for three sets of reactions.

Twenty isolates that were identified by the PCR method were further confirmed by MALDI-TOF as B. longum using the formic acid extraction method. The acquired mass spectra in the flex control method were compared to reference spectra using the Biotyper RTC software, allowing identification of microorganism down to the genus and species level based on the Bruker score system [22,23,24].

The twenty isolates of bifidobacteria were cultured on reinforced clostridial agar and incubated anaerobically at 37°C for 48 hr. Single colonies were transferred to 1.5 ml tubes in duplicate with 300 µl of deionized water and mixed thoroughly. Nine hundred microliters of absolute ethanol was then added, samples were vortexed and centrifuged at 13,500 rpm for 2 min at room temperature. The supernatant and all residual ethanol was removed, and samples were dried at room temperature for 5 minutes. Proteins were extracted using 20 µl of 70% formic acid and an equal volume of pure acetonitrile (ACN). Samples were then centrifuged at maximum speed, and 1 µl of supernatant was pipetted into a MALDI target plate (MTP MSP 48 Polished Steel) and allowed to dry at room temperature for 30 minutes. Each spot was overlaid with 1 µl of freshly prepared HCCA matrix solution. The matrix used for spotting contained 10 mg/ml of HCCA (α-Cyano-4-hydroxycinnamic acid butylamine salt) (Sigma) in standard solvent (acetonitrile 50%, deionized water 47.5%, trifluoroacetic acid 2.5%) (Sigma). One microliter of Bruker Bacterial Test Standard (BTS, Bruker) was used for calibration [25, 26].

Data analysis was carried out using Minitab 16.2.4 (Minitab Inc., State College PA, USA). The data sets included in this study were age (years); gender; adult BMI; adult smokers; adult drinkers; adult diet in terms of consumption of meat, fibre, and yoghurt; baby weight (kg); birth mode; and baby diet in terms of consumption of breast milk, formula milk, prebiotics, and solid food (Tables 1 and 2). Before statistical analysis, normality tests were conducted on all data sets to determine the normality of their distributions. The Mann-Whitney test was used to investigate whether there was a significant difference in the population of bifidobacteria (CFU/g−1) between the adult and infant samples, as well as to test for differences in the level of bifidobacteria and diet within each age group; differences due to smoking and drinking alcohol were also tested for in adults, and birth mode was tested for differences in infants. Spearman’s rank correlation was used to investigate relationships between level of bifidobacteria (CFU/g−1) and age within both the adult and infant groups independently and collectively. Infant weight and adult BMI were also correlated using Spearman’s rank correlation. All tests were conducted with a 95% confidence interval (α = 0.05).

All pink colonies with a red centre showed successful amplification of the 16S rRNA gene of Bifidobacterium at the genus and species level (Fig. 1). A 510 bp product was amplified with genus-specific primers when B. longum (ACC No. CP010453) was used as a template. B. longum group primers resulted in amplification of a 277 bp product for all isolates, and this result was confirmed by colony PCR using species-specific primers, which showed amplification of 831 bp for 16S rRNA of B. longum.

All 20 isolates were identified to the species level as B. longum, 75% with log(score) ≥ 2 and 25% with log(score)<2 and ≥1.7 by Biotyper MALDI-TOF MS.

Results of enumeration of colonies of bifidobacteria are shown in Fig. 2 and Tables 1 and 2.

Fig. 2.

Fig. 2.

Results of enumeration of colonies of bifidobacteria in babies and adults.

During this study, intraindividual variation in the population of bifidobacteria in adults and babies was observed that could be due to variations in diet or other daily activities. Significant intraindividual variation in the population of bifidobacteria and hydrogen sulfide-producing bacteria was shown in adults in a previous study by Pachenari et al. [27].

A significant difference was observed in the population of bifidobacteria in babies in comparison with adults. Adults had a median population of 2.42×108 CFU/g−1, while infants had a median population of 1.07×1010 CFU/g−1 (p<0.05) (Tables 1 and 2).

Reduction in intestinal bifidobacteria and a shift in composition of species of bifidobacteria in the gut in adults have been observed by other investigators [15, 16, 21]. It is suggested that this reduction may be due to a decreased ability of bifidobacteria to adhere to older intestinal mucosal cells [28] as well as delayed recovery from illnesses and health conditions in the elderly [17].

Adults had a mean bifidobacteria population of 1.03 ± 1.7×109 CFU/g−1, while infants had a mean bifidobacteria population of 4.4 ± 8.6×1010 CFU/g−1 (Tables 1 and 2). No significant correlation was seen between the age of infants and their levels of bifidobacteria in our study (p=0.16, r= −0.47). However, when infants and adults were analyzed collectively, a significant correlation was seen (p<0.05, r= −0.77) between age (years) and the level of intestinal bifidobacteria. No significant correlation was observed between age of adults and their level of intestinal bifidobacteria (p=0.68, r=0.15).

Recent studies showed a lower level of bifidobacteria in people with a vegan or vegetarian diet in comparison with control subjects [29, 30]. However, a higher population of bifidobacteria was found in subjects who consumed a higher amount of rice [31]. The results of the present study showed that those participants who reported consuming fruit and vegetables more than three times per week had on average a larger population of bifidobacteria (median = 4.1×108 CFU/g−1) than those who reported consuming these types of food less than three times a week (median = 7×106 CFU/g−1), which indicates a significant difference between the two groups (p<0.05).

Ley et al. reported that the levels of bifidobacteria and lactobacilli were lower in overweight people than slim individuals [32]. An increase in intestinal bifidobacteria brought about by weight loss has been reported by de Silva et al. [33]. In addition, an investigation using mice showed that a high-fat diet decreased the population of bifidobacteria around 100-fold and increased fat tissue, liver triglycerides, and endotoxemia [34]. In the present study, the correlation between adult BMI and population of bifidobacteria seemed to suggest a reinforcement of trends found in previous literature (p=0.16, r= −0.48), although not significant, the results are not far from being significant and may be verified with a larger sample size. Nevertheless, other factors such as diet, age, and eating/smoking habits could have also influenced the findings.

Tomoda et al. suggested that smoking may reduce the level of beneficial bacteria in the gut [35]. In the present study, a significant difference in level of bifidobacteria was observed between smokers and nonsmokers (p<0.05), with nonsmokers having a higher median level of bifidobacteria (1.49×109 CFU/g−1) than smokers (7×106 CFU/g−1).

It has been shown that infants born vaginally have a higher level of bifidobacteria than infants born by caesarean section [8] but that the level reaches that of vaginally born babies at one month of age [36, 37]. In our study, the highest and lowest levels of bifidobacteria were shown in babies 10 and 1, respectively, both of whom were born vaginally. The second and third highest levels of bifidobacteria were seen in baby 9 and baby 8, who were both born by caesarean section. However, all the babies had passed the age (one month) at which an impact of method of delivery may be shown on their intestinal bifidobacteria, and therefore no significant difference was seen in the population of bifidobacteria in infants when they were divided according to mode of birth (p=0.3). Interestingly, those born by caesarean section had a higher median of level of bifidobacteria (1.37×1010 CFU/g−1); than those born vaginally (6.73×109 CFU/g−1); however, this may have been affected by the infants’ age and diet.

Presence of a higher population of bifidobacteria in breast-fed babies has been established [38, 39]. This in part may be due to bifidogenic factors such as N-acetyl-glucosamine, lactulose, and other human milk oligosaccharides in human milk [40, 41]. In addition breast milk itself has been shown to be a source of microorganisms such as staphylococci, lactic acid bacteria, and bifidobacteria, which enhance development of a healthy gut microbiota in infants [42,43,44,45,46,47]. Nonetheless, this level reduces as the baby ages [48]. Although the difference in population of bifidobacteria among breast-fed and bottle-fed babies was not significant (p=0.09), the data do show a higher population of bifidobacteria in infants who had breast milk as part of their diet, with their median population being 1.37×1010 CFU/g−1, compared with those who did not, with their median population being 6.73×109 CFU/g−1. The significance of these results may be confounded by the age of the infants.

However, it should be noted that other factors that were not included in this study may also have affected the level of intestinal bifidobacteria in this study.

This report concluded that not one but a combination of several factors affect the level of bifidobacteria in the gut. In our adult samples, a combination of age, level of dietary fibre intake, BMI, and smoking influenced the levels of bifidobacteria, while in our baby samples, consumption of breast/bottle milk, and age suggested a possible trend that was consistent with previous findings. However, large-scale longitudinal studies are needed to validate these findings.

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