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. 2010 Sep 19;10:110. doi: 10.1186/1471-230X-10-110

Effect of a multispecies probiotic supplement on quantity of irritable bowel syndrome-related intestinal microbial phylotypes

Anna Lyra 1,2, Lotta Krogius-Kurikka 1, Janne Nikkilä 1, Erja Malinen 1, Kajsa Kajander 3,4, Kyösti Kurikka 5, Riitta Korpela 3,6, Airi Palva 1,✉
PMCID: PMC2949774  PMID: 20849659

Abstract

Background

Probiotics can alleviate the symptoms of irritable bowel syndrome (IBS), possibly by stabilizing the intestinal microbiota. Our aim was to determine whether IBS-associated bacterial alterations were reduced during multispecies probiotic intervention consisting of Lactobacillus rhamnosus GG, L. rhamnosus Lc705, Propionibacterium freudenreichii ssp. shermanii JS and Bifidobacterium breve Bb99. The intervention has previously been shown to successfully alleviate gastrointestinal symptoms of IBS.

Methods

The faecal microbiotas of 42 IBS subjects participating in a placebo-controlled double-blind multispecies probiotic intervention were analysed using quantitative real-time polymerase chain reaction (qPCR). Eight bacterial targets within the gastrointestinal microbiota with a putative IBS association were measured.

Results

A phylotype with 94% similarity to Ruminococcus torques remained abundant in the placebo group, but was decreased in the probiotic group during the intervention (P = 0.02 at 6 months). In addition, the clostridial phylotype, Clostridium thermosuccinogenes 85%, was stably elevated during the intervention (P = 0.00 and P = 0.02 at 3 and 6 months, respectively). The bacterial alterations detected were in accordance with previously discovered alleviation of symptoms.

Conclusions

The probiotic supplement was thus shown to exert specific alterations in the IBS-associated microbiota towards the bacterial 16S rDNA phylotype quantities described previously for subjects free of IBS. These changes may have value as non-invasive biomarkers in probiotic intervention studies.

Background

Irritable bowel syndrome (IBS), a common functional gastrointestinal (GI) disorder, is characterized by abdominal pain or discomfort, diarrhoea, constipation, abdominal bloating and flatulence, which are associated with changes in the frequency and form of stool and may markedly lower the quality of life [1]. The diagnosis of IBS is still symptom-based, emphasizing the need for non-invasive biomarkers in diagnosis and therapeutic trial follow-up [2]. Multiple features affect IBS aetiology, including stress, altered GI motility and visceral hypersensitivity [3,4]. In addition, abundant evidence suggests microbial involvement in IBS. Low-grade mucosal inflammation has been observed in the GI tract of IBS patients, whereas onset of GI symptoms after gastroenteritis generates a subset of patients diagnosed with post-infectious IBS [5,6]. Several observations have suggested the presence of an altered GI microbiota among IBS subjects [7-13] and that probiotics may alleviate IBS symptoms [14,15] with several mechanisms of action [16].

The bacterial species Lactobacillus spp., Veillonella spp. and Bifidobacterium spp. and the groups Clostridium coccoides and Bifidobacterium catenulatum are affected in IBS [8]. In addition, alterations in the abundance of several 16S rRNA gene phylotypes have been observed [9,11]. These include phylotypes from the families Lachnospiraceae, Ruminococcaceae, Erysipelotrichaceae, Bacteroidaceae, Coriobacteriaceae and a novel Firmicutes phylotype with 85% similarity to Clostridium thermosuccinogenes. However, in quantitative real-time polymerase chain reaction (qPCR) analyses [8,9,11], the overall microbiota is not covered, as the quantified bacteria are predetermined according to primer sequences. With a phylogenetic microarray covering over 1000 human faecal phylotypes, the GI microbiota of IBS patients was shown to diverge from that of healthy controls, with comparably strong variation seen among IBS patients [13]. Furtherrmore, in a 16S rDNA clone library sequencing study, the GI microbiota of diarrhoea-predominant IBS (IBS-D) subjects had relatively high numbers of Proteobacteria and Firmicutes (especially family Lachnospiracheae) and low numbers of Actinobacteria and Bacteroidetes [12].

A multispecies probiotic combination (Lactobacillus rhamnosus GG, L. rhamnosus Lc705, Propionibacterium freudenreichii ssp. shermanii JS and Bifidobacterium breve Bb99), which was assessed in this study, was earlier found to significantly alleviate IBS symptoms in a 6-month placebo-controlled intervention [17]. The total symptom score of IBS patients ingesting the probiotic combination was significantly lowered due to less borborygmi [17]. Alterations in the GI microbiota were later monitored by quantitative real-time polymerase chain reaction (qPCR) and analysis of short-chain fatty acid content and bacterial enzyme levels [18], but microbial factors were concluded not to be responsible for the observed effect. However, we continued the analyses of the original intervention samples since novel 16S rRNA gene phylotype targeting assays were later shown to differentiate between IBS patients and healthy control subjects devoid of GI symptoms [11].

Here, we present the analysis of intervention samples with eight 16S rRNA phylotype-targeting qPCR assays. The multispecies probiotic supplement shifts the intestinal microbiota of IBS subjects towards that associated with healthy control subjects.

Methods

Study design and subjects

The 6-month probiotic intervention study was originally conducted as a randomized, double-blind, placebo-controlled intervention [17]. IBS patients received daily either a probiotic capsule (Valio Ltd., Helsinki, Finland) containing L. rhamnosus GG (ATCC 53103, LGG), L. rhamnosus Lc705 (DSM 7061, Lc705), P. freudenreichii ssp. shermanii JS (DSM 7067, PJS) and B. breve Bb99 (DSM 13692, Bb99) or a placebo capsule consisting of microcrystalline cellulose, magnesium stearate and gelatine as an encapsulating material. The total daily amount of bacteria in the probiotic capsule was 8-9 × 109 colony forming units, with an equal amount of each strain. Consumption of other probiotic products was not allowed during the intervention. All subjects were advised to follow their usual dietary habits and to not make any changes to their medication, including ongoing IBS medication (mainly commercial fibre analogues, laxatives or antidiarrhoeals).

Participants fulfilled the Rome II criteria [19], except for three subjects who reported slightly less than 12 weeks of abdominal pain during the preceding year. All patients had undergone a clinical investigation and endoscopy or barium enema of the GI tract 0-1 year prior to the study. Exclusion criteria for participation were pregnancy, lactation, organic intestinal disease, other severe systematic disease, antimicrobial medication during the preceding two months, previous major or complicated abdominal surgery, severe endometriosis and dementia or otherwise inadequate cooperation capability. Patients with lactose intolerance were allowed to participate if they reported following a low-lactose or lactose-free diet. A total of 22 IBS patients receiving a multispecies probiotic and 20 IBS patients receiving a placebo capsule were analysed at the time-points of 0, 3 and 6 months (Table 1). The faecal samples of the placebo group [7-9,11,12,17,20] and of both the placebo and probiotic groups [18], had been studied previously with different approaches.

Table 1.

Characteristics of irritable bowel syndrome subjects (n = 42).

Multispecies probiotic Placebo
Age (years): mean (range) 46 (28-63) 47 (24-64)
Gender: F/M 15/7 14/6
Predominant bowel habit
 Diarrhoea: n 11 8
 Constipation: n 3 8
 Alternating: n 8 4
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Ethics

All patients gave their written informed consent and were told that they could withdraw from the study at any time. The Human Ethics Committee of the Joint Authority for the Hospital District of Helsinki and Uusimaa (HUS) approved the study protocol.

Extraction and purification of DNA from faecal samples

Faecal samples were stored anaerobically immediately after defecation, then mixed and aliquoted and finally stored at -70°C within 4 h of delivery. Bacterial DNA was isolated from 1 g of faecal material by removing the undigested particles from the faecal mass using three rounds of low-speed centrifugation, collection of bacterial cells with high-speed centrifugation, enzymatic and mechanical cell lysis and DNA extraction and precipitation [21]. A NanoDrop ND-1000 Spectrophotometer (NanoDrop Technologies, Wilmington, DE, USA) was used to determine the DNA concentrations.

qPCR assays for quantifying faecal bacterial phylotypes

The qPCR assays targeted intestinal bacterial phylotypes associated with IBS (Table 2) [9,11]. The iCycler iQ Real-Time Detection System (Bio-Rad, Hercules, CA, USA), a component of iCycler Optical System Interface software (version 2.3; Bio-Rad), was used to analyse the samples as described previously [9,11]. Standards ranged from 102 to 107 16S rRNA gene copies per reaction.

Table 2.

qPCR primers and assay conditions.

Assay Primers (5' → 3') Standard Classification of standard ( > 98% unless otherwise stated) Target size (bp) MgCl2
(mM)		 Annealing T (°C) Detection T (°C)
Bacteroides intestinalis-like [11] F: AGCATGACCTAGCAATAGGTT
R: CCTTCTCGTTATACTATCCGGTAT		 [EMBL:AM277809] Bacteroides 124 3 63 83
Clostridium cocleatum 88% [9] F: AATACATAAGTAACCTGGCRTC
R: CGTAGCACTTTTCATATAGAGTT		 [EMBL:AM276544] Erysipelotrichaceae 104 4 60 80
Clostridium thermosuccinogenes 85% [11] F: ACATGCAAGTCGAACGGAAGTC
R: TGCGTCAGAGTTTCCTCCATTG		 [EMBL:AM275406] Clostridiales 97% 373 2 62 81
Collinsella aerofaciens-like [9] F: CCCGACGGGAGGGGAT
R: CTTCTGCAGGTACAGTCTTGAC		 [EMBL:AM276090] Collinsella 260 4 67 89
Coprococcus eutactus-like [9] F: AGCTTGCTCCGGCYGATTTA
R: CGGTTTTACCAGTCGTTTCCAA		 [EMBL:AM275825] Coprococcus 97 2 63 83
Ruminococcus torques 91% [9] F: TGCTTAACTGATCTTCTTCGGA
R: CGGTATTAGCAGTCATTTCTG		 [EMBL:AM276624] Lachnospiraceae 119 5 62 82
Ruminococcus torques 93% [11] F: GACTGCTTTTGAAACTGTCA
R: AGGTCCGGTTAAGGA		 [EMBL:AM275798] Lachnospiraceae 396 4 61 83
Ruminococcus torques 94% [9] F: AATCTTCGGAGGAAGAGGACA
R: ACACTACACCATGCGGTCCT		 [EMBL:AM275522] Lachnospiraceae 137 2 65 85
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Statistical analysis

Undetected abundances in the data were imputed with mean values obtained from qPCR runs with the same primer applied to water. If water runs were undetected for a certain assay, the lowest value of all detected water runs was used. All statistical analyses were conducted with log10 values of the number of 16S rRNA gene copies detected with the qPCR assay from the 25-ng sample of faecal DNA.

Principal component analysis (PCA) was used to get an overview of the data, and it was computed for the eight quantified bacterial phylotypes in this study and the one-week GI symptom scores (abdominal pain, distension, flatulence and borborygmi) collected in parallel with faecal samples and reported previously by Kajander et al. [17]. The PCA was performed separately for data collected at baseline (0 months) and during consumption of the probiotic or placebo capsule (3 and 6 months) to visualize the similarity structures in the data before the probiotic intervention and during that.

Assay-specific statistical analyses were also conducted to compare the probiotic and placebo effects, both for all IBS symptom subtypes together and for the IBS-D symptom subtype patients alone. We used standard mixed-effect linear models, with fixed effects for time and treatment and their interaction and a random intercept effect for individual (taking into account the repeated measures from the same subject). The validity of the model assumptions (homogeneity and normality of variances) was controlled by studying the residuals from the fitted models. Additionally, the need for subject-wise baseline correction was checked (no need for subject-wise baseline correction for this data). Inference from the estimated models was based on standard F-tests and t-tests. All analyses were performed with the statistical programming language R 2.6.2 [22] and utilizing the package lme for linear models and contrast for computing contrasts.

We emphasize here that despite our approach to use minimal number of tests by testing only those effects with significant effect on variance as shown by F-tests, multiple hypothesis tests are conducted and this increases the possibility that the some of the outcomes may be due chance. Partially due to this, the constipation-predominant (IBS-C) and mixed symptom subtype (IBS-M) groups were not analysed separately, because they additionally had unbalanced and small number of subjects.

Results

qPCR analyses

The number of 16S rDNA copies detected ranged from log10 ± 95% confidence interval 2.02 ± 0.60 to 5.39 ± 0.17 per 25 ng of faecal DNA in the phylotype-targeting assays (Table 3). The C. thermosuccinogenes 85%, Ruminococcus torques 91% and R. torques 93% phylotypes were detected in all analysed samples (Table 4). Additionally, assays targeting Bifidobacterium catenulatum/Bifidobacterium pseudocatenulatum-like, Butyrivibrio crossotus-like, Cobrobacillus catenaformis 91% and Slackia faecicanis 91% phylotypes [9,11] were analysed, but no alterations were detected (data not shown).

Table 3.

Number of 16S rRNA gene copies detected.

IBS* IBS-D**
qPCR assay (m) Probiotic
(n = 22)		 Placebo
(n = 20)		 P Probiotic
(n = 11)		 Placebo
(n = 8)		 P
Bacteroides intestinalis-like 0 2.33 ± 0.69 2.65 ± 0.77 0.61 2.21 ± 0.80 1.52 ± 0.37 0.24
3 2.49 ± 0.81 2.02 ± 0.60 0.52 2.38 ± 1.12 1.43 ± 0.60 0.20
6 2.53 ± 0.81 2.30 ± 0.74 0.92 2.45 ± 1.14 1.19 ± 0.51 0.11
Clostridium cocleatum 88% 0 5.17 ± 0.73 4.98 ± 0.95 0.72 5.03 ± 1.03 4.07 ± 1.66 0.23
3 5.06 ± 0.79 5.11 ± 0.95 0.93 5.07 ± 1.03 4.52 ± 1.81 0.53
6 5.14 ± 0.72 4.92 ± 0.85 0.72 5.39 ± 0.99 4.56 ± 1.65 0.33
Clostridium thermosuccinogenes 85% 0 4.00 ± 0.55 3.94 ± 0.52 0.63 3.79 ± 0.63 3.52 ± 0.80 0.29
3 5.05 ± 0.37 3.46 ± 0.39 0.00 4.88 ± 0.53 3.64 ± 0.47 0.01
6 4.87 ± 0.41 3.91 ± 0.46 0.02 4.71 ± 0.67 3.54 ± 0.53 0.05
Collinsella aerofaciens-like 0 4.57 ± 0.63 4.14 ± 0.69 0.35 4.36 ± 0.96 3.13 ± 1.00 0.06
3 4.33 ± 0.72 4.10 ± 0.71 0.70 3.91 ± 1.15 3.01 ± 0.96 0.25
6 4.32 ± 0.68 4.45 ± 0.68 0.71 3.92 ± 1.06 3.79 ± 1.12 0.91
Coprococcus eutactus 97% 0 2.62 ± 0.73 2.99 ± 0.69 0.84 2.95 ± 1.26 2.49 ± 0.53 0.28
3 2.75 ± 0.65 2.94 ± 0.69 0.94 3.42 ± 1.10 2.63 ± 1.02 0.20
6 2.77 ± 0.60 3.03 ± 0.64 0.85 3.15 ± 0.97 2.53 ± 0.78 0.22
Ruminococcus torques 91% 0 4.29 ± 0.36 4.27 ± 0.32 0.93 4.17 ± 0.44 4.36 ± 0.47 0.60
3 4.22 ± 0.28 4.34 ± 0.40 0.64 4.10 ± 0.42 4.54 ± 0.70 0.23
6 4.05 ± 0.39 4.05 ± 0.40 1.00 3.73 ± 0.61 4.21 ± 0.53 0.19
Ruminococcus torques 93% 0 5.17 ± 0.20 5.39 ± 0.17 0.19 5.04 ± 0.27 5.45 ± 0.30 0.09
3 5.25 ± 0.17 4.42 ± 0.26 0.00 5.37 ± 0.28 4.70 ± 0.41 0.00
6 5.00 ± 0.36 4.50 ± 0.20 0.00 4.73 ± 0.64 4.57 ± 0.15 0.50
Ruminococcus torques 94% 0 3.54 ± 0.61 4.14 ± 0.53 0.10 3.69 ± 0.87 4.75 ± 0.49 0.04
3 3.48 ± 0.60 3.97 ± 0.57 0.30 3.48 ± 0.92 4.42 ± 0.90 0.14
6 3.06 ± 0.61 4.07 ± 0.43 0.02 2.72 ± 0.90 4.41 ± 0.66 0.01
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* Number of 16 S rRNA gene copies detected from 25 ng of faecal DNA at each time-point analysed and the p-values for linear model comparisons of probiotic and placebo groups as a whole. The values are presented as log10 averages for each time-point (0, 3 and 6 months). Significant p-values (P < 0.5) are indicated in bold.

** Number of 16 S rRNA gene copies detected from 25 ng of faecal DNA at each time-point analysed and the p-values for linear model comparisons for diarrhoea-predominant (IBS-D) subjects. The values are presented as log10 averages for each time-point (0, 3 and 6 months). Significant p-values (P < 0.5) are indicated in bold.

Table 4.

Prevalence of bacterial phylotypes.

qPCR assay Placebo Probiotic
IBS-C
(n = 8) 		IBS-D
(n = 8) 		IBS-M
(n = 4) 		IBS-C
(n = 3) 		IBS-D
(n = 11) 		IBS-M
(n = 8)
Bacteroides intestinalis-like 7* 8 4 3 8 6
Clostridium cocleatum 88% 7 8 4 3 11 7
Clostridium thermosuccinogenes 85% 8 8 4 3 11 8
Collinsella aerofaciens-like 6 6 4 3 9 7
Coprococcus eutactus 97% 2 3 3 1 9 5
Ruminococcus torques 91% 8 8 4 3 11 8
Ruminococcus torques 93% 8 8 4 3 11 8
Ruminococcus torques 94% 8 8 3 3 10 6
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* Number of subjects with target 16S rRNA genes detected at any of the time-points for each qPCR assay.

Effects of the intervention on selected 16S rRNA phylotypes

In the visualization of the intervention samples with PCA, the placebo and probiotic groups appeared to overlap at the beginning of the study, and no clear associations were seen based on the measured phylotypes or the GI symptoms (Figure 1a). However, in the PCA of samples taken during the consumption of the probiotic combination, the placebo group shifted in the direction of GI symptoms and the probiotic group in the opposite direction (see PC1 in Figure 1a and 1b). The placebo group and the R. torques 94% phylotype and the probiotic group and the C. thermosuccinogenes 85% and R. torques 93% phylotypes pointed in the same directions (see PC2 in Figure 1b).

Figure 1.

Figure 1

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Principal component analysis for bacterial phylotypes and gastrointestinal symptoms. Principal component analysis (PCA) for eight bacterial 16S rRNA gene phylotypes and four gastrointestinal symptoms in the (a) before the probiotic intervention (0 months) and (b) during the intervention (combined second and third time-points, 3 and 6 months). Placebo and probiotic groups are denoted in blue and red, respectively. The arrows in the biplot represent the association of the original variables with the samples in the PCA visualization: their length and location are proportional to the variable loadings on the two first principal components. In Figure 1a, the first and second principal components (PC1 and PC2) explain 20.3% and 15.3% of the observed variation, respectively. In Figure 1b, the first and second principal components explain 24.6% and 15.4% of the observed variation, respectively.

A significant decrease in the amount of R. torques 94% was observed in the probiotic group as a whole (P = 0.02 at time-point 6 months; Table 3 and Figure 2a). Among IBS-D patients, the R. torques 94% phylotype was significantly more abundant in the placebo group than in the probiotic group at the beginning of the intervention, before consumption of the probiotic supplement (P = 0.04 at 0 month; Table 3). The level remained similar for the placebo IBS-D subjects, but decreased among the probiotic-consuming IBS-D subjects, reaching a significant difference relative to the placebo IBS-D patients after 6 months (P = 0.01 at 0 month; Table 3). Within the placebo IBS-D subjects, none of the time-points differed from each other significantly, whereas the third time-point in the probiotic group of IBS-D subjects was significantly different from the other two time-points (P = 0.01 and 0.02 for comparisons between time-points 3 months vs. 6 months and 0 months vs. 6 months, respectively).

Figure 2.

Figure 2

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Quantites of Ruminococcus torques 94% and Clostridium thermosuccinogenes 85%. Stripcharts of (a) Ruminococcus torques 94% and (b) Clostridium thermosuccinogenes 85% 16S rRNA gene quantities detected (log10) with qPCR in the faecal samples of irritable bowel syndrome subjects. Vertical black lines are median values. Placebo and probiotic groups are denoted in blue and red, respectively.

C. thermosuccinogenes 85% was elevated significantly in the probiotic group as a whole (P = 0.00 and P = 0.02 at time-points 3 months and 6 months, respectively; Table 3, Figure 2 b) and among IBS-D subjects (P = 0.01 at 3 months and P = 0.05 at 6 months; Table 3). The effect was stable throughout the intervention among IBS-D subjects (P = 0.00 and P = 0.04 for comparisons between time-points 0 month vs. 3 months and 0 month vs. 6 months, respectively), and no significant alterations were detected among the placebo IBS-D subjects.

The abundance of R. torques 93% was higher in the probiotic group during consumption of the probiotic (P = 0.00 and P = 0.00 at time-points 3 months and 6 months, respectively), but among IBS-D patients the difference disappeared by the end of the study (P = 0.00 at 3 months and P = 0.50 at 6 months; Table 3). For R. torques 93%, the detected alterations were due to a decrease in the placebo group.

Discussion

Our study assessed the effect of a multispecies probiotic supplement on the GI microbiota of IBS patients at a 16S rRNA gene phylotype level in a 6-month placebo-controlled intervention trial [17]. Kajander et al. [17] have previously documented that the current intervention significantly reduced the total GI symptom score, mainly due to less borborygmi experienced in the probiotic group. Accordingly, the probiotic group appeared less strongly associated with the monitored IBS-related GI symptoms in the multivariate visualization in this study. The intestinal microbiota during the intervention has subsequently been investigated by applying qPCR targeting bacterial groups and species, but although all supplemented strains were detected, the members of the intestinal microbiota measured were found to remain stable during the intervention, with the exception of Bifidobacterium spp., which decreased significantly in the probiotic group [18].

In this study, we applied assays targeting Bacteroides intestinalis-like, Clostridium cocleatum 88%, C. thermosuccinogenes 85%, Collinsella aerofaciens-like, Coprococcus eutactus 97%, R. torques 91%, R. torques 93% and R. torques 94% phylotypes, which have been shown to diverge between different IBS symptom subtypes and healthy control subjects free of GI symptoms [9,11]. The quantities of these phylotypes together with the IBS-related symptom score were clearly able to differentiate the probiotic-consuming subjects from the placebo group in a PCA of samples taken during consumption of the probiotic combination. Of the bacterial phylotypes, R. torques 94%, C. thermosuccinogenes 85% and R. torques 93% were significantly affected during the intervention.

The C. thermosuccinogenes 85% phylotype was previously found to be more strongly associated with IBS-M subjects and healthy controls than with patients suffering from IBS-D [11]. The number of bacteria targeted with the C. thermosuccinogenes 85% assay is increased with multispecies probiotic supplementation. In fact, if per gram of faeces values are calculated, the probiotic intervention seems to lead to higher quantities of the C. thermosuccinogenes 85% phylotype than previously reported for healthy control subjects devoid of GI symptoms [11] (data not shown).

The bacterial species present by assays targeting phylotypes R. torques 91%, 93% and 94% may have different metabolic and functional roles in the setting studied, as they were found to behave differently. According to their 16S rRNA gene sequence, these three ruminococcal phylotypes show less than genus level similarity among each other and 91%, 93% and 94% similarity to the species R. torques. Ruminococcus torques is a mucin-degrading Clostridium coccoides group firmicute of the human GI microbiota [23] which has been associated with Crohn's disease [24,25]. The phylotype presented by R. torques 94% and the target sequence (EMBL: AM275522) of the assay have been associated with IBS-D [11] and Crohn's disease [26], respectively. The closest known bacterial isolate to R. torques 94% is a fructan-utilizing strain D8 isolated from rat faeces (98% identity with 16S rDNA sequence AY960564) with low-level inulin utilization capability [27]. The phylotype R. torques 91% has been associated with IBS-D and IBS-M [11] and the phylotype R. torques 93% has been associated more strongly with healthy control subjects than with IBS-M sufferers [11]. The phylotypes R. torques 91% and 93% affiliate to strain SSC/2 16S rDNA sequence identity 96% and 99% to AY305320, respectively [28]. Strain SSC/2 is potentially beneficial to health due to its capability to convert lactic acid to butyric acid [29]. However, the mechanisms that link R. torques and related phylotypes with an inflamed or irritated intestine remain unknown.

According to the PCA visualization, the placebo group samples appeared to be more strongly associated with R. torques 94% than the probiotic group samples after the consumption of the probiotic combination had begun. In the assay-specific analysis, a significant decrease was detected by the end of the 6-month intervention in the level of R. torques 94% among the probiotic group and the IBS-D subjects within the probiotic group. R. torques 91% did not show alterations due to the consumption of the probiotic supplement, but the abundance of the R. torques 93% phylotype decreased in the placebo group.

Discrepancies observed between time-points may be due to the effect of the probiotic being prolonged (no effect at 3 months, but effect at 6 months) or being overcome by residents of the GI microbiota (effect at 3 months, but no effect at 6 months). As stress [30] and diet [31] alter the composition of mammalian GI microbiota, a psychological or habitual response to participating in a probiotic intervention could also be reflected in the GI microbiota and be overcome with time. The assay for R. torques 93%, for instance, also quantifies a lactic acid consuming bacterial strain SSC/2 [29], which could well react to participants being prohibited of using any other probiotic products. A similar effect may apply to R torques 94%, as it is close to an isolate capable of utilising compounds used in prebiotics [32,33], consumption of which might also alter due to participation in an intervention trial (although prebiotics were not prohibited). Moreover, the phylotypes quantified may represent bacteria in the GI tract with abundances varying over time, especially as IBS patients are known to have an unstable GI microbiota relative to healthy control subjects [7]. Defecation frequencies did not, however, significantly change during the intervention in any of the IBS symptom subtype groups [17]. Nevertheless, independent sample panels still need to be investigated to confirm suspected IBS-related alterations detected in the GI microbiota. Moreover, studies not restricted to certain bacteria or phylotypes are warranted, as are studies going beyond phylogeny, i.e. exploring the metabolism of IBS related GI microbiota.

Our findings support those of Kajander and colleagues [34], who presented a stabilizing effect of multispecies probiotic supplementation (L. rhamnosus GG, L. rhamnosus Lc705, P. freudenreichii ssp. shermanii JS and Bifidobacterium animalis ssp. Bb12) on the overall GI microbiota of IBS patients during a 5-month intervention. Indeed, the alterations detected here also show a trend towards the quantities previously detected in non-IBS controls free of GI symptoms [11]. The effects of probiotic strains or combinations are unique, and not all probiotic supplementations have favourable clinical effects on IBS symptoms [16]. Certain probiotic strains and multispecies supplements may enhance the expression of mucin components and protect the epithelial layer by adhering to it, thus preventing mucolytic bacteria from digesting the mucus and making the epithelial barrier more vulnerable [35]. Such probiotic strains enhance the barrier function and could alter the quantities of mucolytic bacteria. Studies such as this one are required to improve our knowledge about the mechanisms of actions behind clinically efficient probiotics. This will help us to target the therapy to those patients in the heterogeneous group of IBS sufferers, most likely to respond. Increased knowledge may also provide new insights into the screening of potentially efficient strains.

Conclusions

Our results indicate that a multispecies probiotic supplement capable of alleviating IBS symptoms affects IBS-associated faecal bacterial phylotypes. Dysbiosis-like changes in the overall GI microbiota and even among specific bacterial phylotypes might have a crucial role in IBS aetiology and pathology, and one potential mechanism underlying the effectiveness of probiotics in IBS may be by affecting these microbes. Although the role of bacteria in IBS aetiology remains uncertain, our methodological approach of using bacterial phylotype-targeting qPCR assays based on IBS-associated clone libraries has revealed potential non-invasive biomarkers, i.e. the C. thermosuccinogenes 85% and R. torques-like phylotypes, for use in IBS associated studies.

List of abbreviations

IBS-C: Constipation-predominant; IBS-D: Diarrhoea-predominant IBS; GI: gastrointestinal; IBS: irritable bowel syndrome; IBS-M: mixed symptom subtype; PCA: principal component analysis; qPCR: quantitative real-time polymerase chain reaction.

Competing interests

RK and KKa were employed by Valio Ltd at the time of the study.

Authors' contributions

AL, LKK and EM coordinated and analysed the qPCR assays. JN and KKu conducted the computational data analyses. KKa planned the clinical trial protocol, recruited the IBS subjects and planned and coordinated the collection of samples. AP and RK coordinated and supervised the study. AL wrote the manuscript, and all authors made corrections to and approved the final manuscript.

Pre-publication history

The pre-publication history for this paper can be accessed here:

http://www.biomedcentral.com/1471-230X/10/110/prepub

Contributor Information

Anna Lyra, Email: anna.lyra@danisco.com.

Lotta Krogius-Kurikka, Email: lotta.krogius@helsinki.fi.

Janne Nikkilä, Email: janne.nikkila@helsinki.fi.

Erja Malinen, Email: erja.malinen@24.fi.

Kajsa Kajander, Email: kajsa.kajander@gmail.com.

Kyösti Kurikka, Email: kyosti.kurikka@numos.fi.

Riitta Korpela, Email: riitta.korpela@helsinki.fi.

Airi Palva, Email: airi.palva@helsinki.fi.

Acknowledgements

This work was performed at the Centre of Excellence on Microbial Food Safety Research, Academy of Finland. We thank Laura Mäkelä, Annemari Wickström and Sinikka Ahonen for excellent technical assistance. Doctors Jaana Mättö and Maria Saarela are gratefully acknowledged for arranging sample collection. This study was supported by the Finnish Funding Agency for Technology and Innovation, the Academy of Finland and the Finnish Graduate School on Applied Bioscience. The original probiotic intervention was conducted by Valio Ltd.

References

  1. Longstreth GF, Thompson WG, Chey WD, Houghton LA, Mearin F, Spiller RC. Functional bowel disorders. Gastroenterology. 2006;130(5):1480–1491. doi: 10.1053/j.gastro.2005.11.061. [DOI] [PubMed] [Google Scholar]
  2. Clarke G, Quigley EM, Cryan JF, Dinan TG. Irritable bowel syndrome: towards biomarker identification. Trends Mol Med. 2009;15(10):478–489. doi: 10.1016/j.molmed.2009.08.001. [DOI] [PubMed] [Google Scholar]
  3. Arebi N, Gurmany S, Bullas D, Hobson A, Stagg A, Kamm M. Review article: the psycho-neuro-immunology of irritable bowel syndrome - an exploration of interactions between psychological, neurological and immunological observations. Aliment Pharmacol Ther. 2008;28(7):830–840. doi: 10.1111/j.1365-2036.2008.03801.x. [DOI] [PubMed] [Google Scholar]
  4. Drossman DA, Camilleri M, Mayer EA, Whitehead WE. AGA technical review on irritable bowel syndrome. Gastroenterology. 2002;123(6):2108–2131. doi: 10.1053/gast.2002.37095. [DOI] [PubMed] [Google Scholar]
  5. Spiller RC, Jenkins D, Thornley JP, Hebden JM, Wright T, Skinner M, Neal KR. Increased rectal mucosal enteroendocrine cells, T lymphocytes, and increased gut permeability following acute Campylobacter enteritis and in post-dysenteric irritable bowel syndrome. Gut. 2000;47(6):804–811. doi: 10.1136/gut.47.6.804. [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Liebregts T, Adam B, Bredack C, Roth A, Heinzel S, Lester S, Downie-Doyle S, Smith E, Drew P, Talley NJ, Holtmann G. Immune activation in patients with irritable bowel syndrome. Gastroenterology. 2007;132(3):913–920. doi: 10.1053/j.gastro.2007.01.046. [DOI] [PubMed] [Google Scholar]
  7. Maukonen J, Satokari R, Mättö J, Söderlund H, Mattila-Sandholm T, Saarela M. Prevalence and temporal stability of selected clostridial groups in irritable bowel syndrome in relation to predominant faecal bacteria. J Med Microbiol. 2006;55(Pt 5):625–633. doi: 10.1099/jmm.0.46134-0. [DOI] [PubMed] [Google Scholar]
  8. Malinen E, Rinttilä T, Kajander K, Mättö J, Kassinen A, Krogius L, Saarela M, Korpela R, Palva A. Analysis of the fecal microbiota of irritable bowel syndrome patients and healthy controls with real-time PCR. Am J Gastroenterol. 2005;100(2):373–382. doi: 10.1111/j.1572-0241.2005.40312.x. [DOI] [PubMed] [Google Scholar]
  9. Kassinen A, Krogius-Kurikka L, Mäkivuokko H, Rinttilä T, Paulin L, Corander J, Malinen E, Apajalahti J, Palva A. The fecal microbiota of irritable bowel syndrome patients differs significantly from that of healthy subjects. Gastroenterology. 2007;133(1):24–33. doi: 10.1053/j.gastro.2007.04.005. [DOI] [PubMed] [Google Scholar]
  10. Gecse K, Roka R, Ferrier L, Leveque M, Eutamene H, Cartier C, Ait-Belgnaoui A, Rosztoczy A, Izbeki F, Fioramonti J, Wittmann T, Bueno L. Increased faecal serine protease activity in diarrhoeic IBS patients: a colonic lumenal factor impairing colonic permeability and sensitivity. Gut. 2008;57(5):591–599. doi: 10.1136/gut.2007.140210. [DOI] [PubMed] [Google Scholar]
  11. Lyra A, Rinttilä T, Nikkilä J, Krogius-Kurikka L, Kajander K, Malinen E, Mättö J, Mäkelä L, Palva A. Diarrhoea-predominant irritable bowel syndrome distinguishable by 16S rRNA gene phylotype quantification. World J Gastroenterol. 2009;15(47):5936–5945. doi: 10.3748/wjg.15.5936. [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Krogius-Kurikka L, Lyra A, Malinen E, Aarnikunnas J, Tuimala J, Paulin L, Mäkivuokko H, Kajander K, Palva A. Microbial community analysis reveals high level phylogenetic alterations in the overall gastrointestinal microbiota of diarrhoea-predominant irritable bowel syndrome sufferers. BMC Gastroenterol. 2009;9(95) doi: 10.1186/1471-230X-9-95. [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Rajilić-Stojanović M. Diversity of the Human Gastrointestinal Microbiota - Novel Perspectives from High Troughput Analyses. Wageningen University, The Neatherlands. 2007.
  14. McFarland LV, Dublin S. Meta-analysis of probiotics for the treatment of irritable bowel syndrome. World J Gastroenterol. 2008;14(17):2650–2661. doi: 10.3748/wjg.14.2650. [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Hoveyda N, Heneghan C, Mahtani KR, Perera R, Roberts N, Glasziou P. A systematic review and meta-analysis: probiotics in the treatment of irritable bowel syndrome. BMC Gastroenterol. 2009;9:15. doi: 10.1186/1471-230X-9-15. [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Spiller R. Review article: probiotics and prebiotics in irritable bowel syndrome. Aliment Pharmacol Ther. 2008;28(4):385–396. doi: 10.1111/j.1365-2036.2008.03750.x. [DOI] [PubMed] [Google Scholar]
  17. Kajander K, Hatakka K, Poussa T, Färkkilä M, Korpela R. A probiotic mixture alleviates symptoms in irritable bowel syndrome patients: a controlled 6-month intervention. Aliment Pharmacol Ther. 2005;22(5):387–394. doi: 10.1111/j.1365-2036.2005.02579.x. [DOI] [PubMed] [Google Scholar]
  18. Kajander K, Krogius-Kurikka L, Rinttilä T, Karjalainen H, Palva A, Korpela R. Effects of multispecies probiotic supplementation on intestinal microbiota in irritable bowel syndrome. Aliment Pharmacol Ther. 2007;26(3):463–473. doi: 10.1111/j.1365-2036.2007.03391.x. [DOI] [PubMed] [Google Scholar]
  19. Thompson WG, Longstreth GF, Drossman DA, Heaton KW, Irvine EJ, Muller-Lissner SA. Functional bowel disorders and functional abdominal pain. Gut. 1999;45(Suppl 2):II43–7. doi: 10.1136/gut.45.2008.ii43. [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Mättö J, Maunuksela L, Kajander K, Palva A, Korpela R, Kassinen A, Saarela M. Composition and temporal stability of gastrointestinal microbiota in irritable bowel syndrome--a longitudinal study in IBS and control subjects. FEMS Immunol Med Microbiol. 2005;43(2):213–222. doi: 10.1016/j.femsim.2004.08.009. [DOI] [PubMed] [Google Scholar]
  21. Apajalahti JH, Särkilahti LK, Mäki BR, Heikkinen JP, Nurminen PH, Holben WE. Effective recovery of bacterial DNA and percent-guanine-plus-cytosine-based analysis of community structure in the gastrointestinal tract of broiler chickens. Appl Environ Microbiol. 1998;64(10):4084–4088. doi: 10.1128/aem.64.10.4084-4088.1998. [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. R Development Core Team. R: A language and environment for statistical computing. Vienna, Austria. 2008.
  23. Hoskins LC, Agustines M, McKee WB, Boulding ET, Kriaris M, Niedermeyer G. Mucin degradation in human colon ecosystems. Isolation and properties of fecal strains that degrade ABH blood group antigens and oligosaccharides from mucin glycoproteins. J Clin Invest. 1985;75(3):944–953. doi: 10.1172/JCI111795. [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Martinez-Medina M, Aldeguer X, Gonzalez-Huix F, Acero D, Garcia-Gil LJ. Abnormal microbiota composition in the ileocolonic mucosa of Crohn's disease patients as revealed by polymerase chain reaction-denaturing gradient gel electrophoresis. Inflamm Bowel Dis. 2006;12(12):1136–1145. doi: 10.1097/01.mib.0000235828.09305.0c. [DOI] [PubMed] [Google Scholar]
  25. Png C, Lindén S, Gilshenan K, Zoetendal E, McSweeney C, Sly L, McGuckin M, Florin T. Mucolytic Bacteria With Increased Prevalence in IBD Mucosa Augment In Vitro Utilization of Mucin by Other Bacteria. Am J Gastroenterol. 2010. [DOI] [PubMed]
  26. Frank DN, St Amand AL, Feldman RA, Boedeker EC, Harpaz N, Pace NR. Molecular-phylogenetic characterization of microbial community imbalances in human inflammatory bowel diseases. Proc Natl Acad Sci USA. 2007;104(34):13780–13785. doi: 10.1073/pnas.0706625104. [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Gourgue-Jeannot C, Kalmokoff ML, Kheradpir E, Kwan J, Lampi BJ, McAllister M, Brooks SP. Dietary fructooligosaccharides alter the cultivable faecal population of rats but do not stimulate the growth of intestinal bifidobacteria. Can J Microbiol. 2006;52(10):924–933. doi: 10.1139/W06-053. [DOI] [PubMed] [Google Scholar]
  28. Louis P, Duncan SH, McCrae SI, Millar J, Jackson MS, Flint HJ. Restricted distribution of the butyrate kinase pathway among butyrate-producing bacteria from the human colon. J Bacteriol. 2004;186(7):2099–2106. doi: 10.1128/JB.186.7.2099-2106.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Duncan SH, Flint HJ. "Lactic acid utilising bacteria and their therapeutic use". Patent number WO2004085628-A1/10, 07-OCT-2004. The Rowett Research Institute, GB.
  30. O'Mahony SM, Marchesi JR, Scully P, Codling C, Ceolho AM, Quigley EM, Cryan JF, Dinan TG. Early life stress alters behavior, immunity, and microbiota in rats: implications for irritable bowel syndrome and psychiatric illnesses. Biol Psychiatry. 2009;65(3):263–267. doi: 10.1016/j.biopsych.2008.06.026. [DOI] [PubMed] [Google Scholar]
  31. Louis P, Scott KP, Duncan SH, Flint HJ. Understanding the effects of diet on bacterial metabolism in the large intestine. J Appl Microbiol. 2007;102(5):1197–1208. doi: 10.1111/j.1365-2672.2007.03322.x. [DOI] [PubMed] [Google Scholar]
  32. Gibson GR. Dietary modulation of the human gut microflora using prebiotics. Br J Nutr. 1998;80:S209–S212. [PubMed] [Google Scholar]
  33. Roberfroid MB, van Loo JAE, Gibson GR. The bifidogenic nature of chicory inulin and its hydrolysis products. J Nutr. 1998;128:11–19. doi: 10.1093/jn/128.1.11. [DOI] [PubMed] [Google Scholar]
  34. Kajander K, Myllyluoma E, Rajilić-Stojanović M, Kyrönpalo S, Rasmussen M, Järvenpää S, Zoetendal EG, de Vos WM, Vapaatalo H, Korpela R. Clinical trial: multispecies probiotic supplementation alleviates the symptoms of irritable bowel syndrome and stabilizes intestinal microbiota. Aliment Pharmacol Ther. 2008;27(1):48–57. doi: 10.1111/j.1365-2036.2007.03542.x. [DOI] [PubMed] [Google Scholar]
  35. Ohland C, Macnaughton W. Probiotic bacteria and intestinal epithelial barrier function. Am J Physiol Gastrointest Liver Physiol. 2010;298(6):G807–19. doi: 10.1152/ajpgi.00243.2009. [DOI] [PubMed] [Google Scholar]

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