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©2014 Baishideng Publishing Group Co.
World J Gastroenterol. Mar 14, 2014; 20(10): 2470-2481
Published online Mar 14, 2014. doi: 10.3748/wjg.v20.i10.2470
Published online Mar 14, 2014. doi: 10.3748/wjg.v20.i10.2470
Table 1 Summary of molecular studies of intestinal microbiota in irritable bowel syndrome
Ref. | Ethnicity | IBS patients, n | Mean age (range), yr | Male gender, n | IBS subtype | Controls, n | Sample | Method | Changes in intestinal microbiota composition in IBS | ||
IBS-C | IBS-D | IBS-M | |||||||||
Malinen et al[83] 2005 | Finland | 27 | 46.5 (20-65) | 7 | 9 | 12 | 6 | 22 (age, gender matching) | Feces | qPCR covering bacteria 300 bacterial species | IBS-D: ↓ lactobacillus spp. |
IBS-C: ↑ veillonella spp. | |||||||||||
Overall IBS: ↓ clostridium coccoides subgroup, Bifidobacterium catenulatum group | |||||||||||
Mättö et al[46] 2005 | Finland | 26 | 46 (20-65) | 7 | 9 | 12 | 5 | 25 (age, gender matching) | Feces | Culture, PCR-DGGE | Temporal instability in the bacterial population↑ coliform bacteria |
↑ aerob:anaerob ratio | |||||||||||
Maukonen et al[84] 2006 | Finland | 24 | 45 (24–64) | 5 | 6 | 7 | 3 | 16 | Feces | PCR-DGGE, Transcript analysis with the aid of affinity capture for Clostridial groups | Temporal instability in the bacterial population |
IBS-C: ↓ clostridium coccoides-Eubacterium rectale group | |||||||||||
Kassinen et al[43] 2007 | Finland | 24 | 47.3 (21–65) | 5 | 8 | 10 | 6 | 23 (age, gender matching) | Feces | GC-profiling + high-throughput 16S rRNA gene sequencing of 3753 clones | Coverage of the clone libraries of |
IBS subtypes and control subjects differed | |||||||||||
Kerckhoffs et al[85] 2009 | The Netherlands | 41 | 42 ± 2.12 | 12 | 11 | 11 | 16 | 26 | Feces, Duodenal mucosa | FISH, qPCR | ↓ bifidobacterium catenulatum |
Krogius-Kurikka et al[86] 2009 | Finland | 10 | 46.5 | 4 | 0 | 10 | 0 | 22 | Feces | G + C (%G + C) -based profiling and fractioning combined with 16S rRNA gene clone library sequencing of 3267 clones | ↑ proteobacteria |
↑ firmicutes | |||||||||||
↓ actinobacteria | |||||||||||
↓ bacteroidetes | |||||||||||
Lyra et al[87] 2009 | Finland | 20 | IBS-D: 43.6 (26-60), IBS-C: 48.6 (24-64), IBS-M: 50.8 (31-62) | 6 | 8 | 8 | 4 | 15 | Feces | qPCR | IBS-D: ↑ ruminococcus torques, ↓ clostridium thermosuccinogenes |
IBS-C: ↑ ruminococcus bromii-like | |||||||||||
IBS-M: ↓ ruminococcus torques, ↑ clostridium thermosuccinogenes | |||||||||||
Tana et al[88] 2010 | Japan | 26 | 21.7 ± 2.0 | 13 | 11 | 8 | 7 | 26 (age, gender matching) | Feces | Culture, qPCR | ↑ veillonella spp. |
↑ lactobacillus spp. | |||||||||||
Codling et al[89] 2010 | Ireland | 47 | 43.6 (24–66) | 0 | - | - | - | 33 | Feces, Colonic mucosa | PCR-DGGE | Significantly more variation in the gut microbiota of healthy volunteers than that of IBS patients |
Ponnusamy et al[90] 2011 | South Korea | 11 | 47.5 (18-74) | 6 | - | -- | 8 | Feces | DGGE + qPCR of 16S rRNA genes | ↑ diversity of Bacteroidetes and Lactobacillus groups | |
Rinttilä et al[91] 2011 | Finland | 96 | 47 (20-73) | 27 | 15 | 81 | 23 | Feces | qPCR | 17% of IBS samples (n = 15) tested positive for staphylococcus aureus | |
Rajilić-Stojanović et al[45] 2011 | Finland | 62 | 49 (22−66) | 5 | 18 | 25 | 19 | 42 | Feces | Phylogenetic 16S rRNA microarray and qPCR | 2-fold ↑ firmicutes:Bacteroidetes ratio↓ bacteroidetes, ↑ dorea, ruminococcus, clostridium sppBifidobacterium faecalibacterium spp |
Carroll et al[51] 2011 | United States | 16 | 35.6 (23–52) | 5 | 0 | 16 | 0 | 21 | Feces, Colonic biopsies | T-RFLP fingerprinting of 16S rRNA-PCR | ↓ microbial biodiversity in D-IBS fecal samples |
Parkes et al[52] 2012 | United Kingdom | 53 | IBS-D: 36.2 (32.1–40.3), IBS-C: 32.4 (28.1–36.7) | 28 | 26 | 27 | 0 | 26 | Colonic mucosa | FISH, confocal microscopy | Expansion of mucosa-associated microbiota; mainly bacteroides and clostridia; association with IBS subgroups and symptoms |
Jeffery et al[92] 2012 | Sweden | 37 | 37 ± 12 | 11 | 10 | 15 | 12 | 20 | Feces | Pyrosequencing 16SrRNA | Clustering of IBS patients: normal-like vs abnormal microbiota composition (increase of firmicutes-associated taxa and a depletion of bacteroidetes-related taxa) |
Advantages | Limitations | |
Culture | Cheap, easy to use | Limited estimate intestinal microbiota |
PCR-T/DGGE | High sensitivity in detecting difference in bacterial populations, semi-quantitative | Does not identify bacteria unless bands on the gel are cut out and sequenced |
FISH | Microbial in situ identification, high sensitivity, quantitative | Few species can be simultaneously detected, only known species are detected |
T-RFLP | Low cost | Low biodiversity resolution, no species-level identification, not quantitative |
Quantitative PCR | Can detect small number of bacteria and quantify them | Laborious |
Phylogenetic microarray | High biodiversity resolution, quantitative | Only known species are detected |
NGS phylogenetic analysis (e.g., pyrosequencing) | Enormous quantities of data at individual Species level | Very costly, need bioinformatics analysis |
Table 3 Systemic reviews for randomized controlled trials of probiotics in irritable bowel syndrome
Ref. | Selection criteria | n of identified studies | Results |
McFarland et al[73] 2008 | RCTs in humans published as full articles or meeting abstracts in peer-reviewed journals | 20 RCTs | Global IBS symptoms: RR = 0.77 (95%CI: 0.62-0.94)/ abdominal pain: RR = 0.78 (95%CI: 0.69-0.88) |
Brenner et al[76] 2009 | RCTs; adults with IBS defined by Manning or Rome II criteria; single or combination probiotic vs placebo; improvement in IBS symptoms and/or decrease in frequency of adverse events reported | 16 RCTs → 11 studies showed suboptimal study design | Bifidobacterium infantis 35624 has shown efficacy for improvement of IBS symptoms. Most RCTs about the utility of probiotics in IBS have not used an appropriate study design |
Hoveyda et al[74] 2009 | RCTs compared the effects of any probiotic therapy with placebo in patients with IBS | 14 RCTs → 7 RCTs providing outcomes as dichotomous variable and 6 RCTs providing outcomes as continuous variable | Overall symptoms: dichtomous data - OR = 0.63 (95%CI: 0.45-0.83)/continuous data - mean ± SD, 0.23 (95%CI: 0.07-0.38) Trials varied in relation to the length of treatment (4-26 wk), dose, organisms and strengths of probiotics used |
Moayyedi et al[75] 2010 | RCTs comparing the effect of probiotics with placebo or no treatment in adult patients with IBS (over the age of 16 yr) | 19 RCTs → 10 RCTs providing outcomes as a dichotomous variable | Probiotics appear to be efficacious in IBS (Probiotics were statistically significantly better than placebo, but there was statistically significant heterogeneity). The magnitude of benefit and the most effective species and strain are uncertain |
Ortiz-Lucas et al[77] 2013 | RCTs comparing probiotics with placebo in treating IBS symptoms | 24 RCTs → 10 RCTs providing continuous data performed with continuous data summarized using mean ± SD and 95%CIs | Pain scores: improved by probiotics containing Bifidobacterium breve, Bifidobacterium longum, or Lactobacillus acidophilus species Distension scores: improved by probiotics containing B. breve, B. infantis, Lactobacillus casei, or Lactobacillus plantarum species Flatulence: improved by probiotics containing B. breve, B. infantis, L. casei, L. plantarum, B. longum, L. acidophilus, Lactobacillus bulgaricus, and Streptococcus salivarius ssp. thermophilus |
- Citation: Hong SN, Rhee PL. Unraveling the ties between irritable bowel syndrome and intestinal microbiota. World J Gastroenterol 2014; 20(10): 2470-2481
- URL: https://www.wjgnet.com/1007-9327/full/v20/i10/2470.htm
- DOI: https://dx.doi.org/10.3748/wjg.v20.i10.2470