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Gut Microbial Dysbiosis in the Irritable Bowel Syndrome: A Systematic Review and Meta-Analysis of Case-Control Studies
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“IBS is characterized by gut microbial dysbiosis, and gut microbiota could play a key role in the pathogenesis of this syndrome [15].”
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Stang, A. (2010) · European Journal of Epidemiology · doi:10.1007/s10654-010-9491-z · Cited by 17,396
Human gut microbiome viewed across age and geography
Yatsunenko, T., Rey, F. E., Manary, M. J., Trehan, I., Dominguez-Bello, M. G., Contreras, M., Magris, M., Hidalgo, G., Baldassano, R. N., Anokhin, A. P., et al. (2012) · Nature · doi:10.1038/nature11053 · Cited by 7,815
Sterne, J. A. C., Sutton, A. J., Ioannidis, J. P. A., Terrin, N., Jones, D. R., Lau, J., Carpenter, J., Rucker, G., Harbord, R. M., Schmid, C. H., et al. (2011) · BMJ · doi:10.1136/bmj.d4002 · Cited by 7,709
Assessing heterogeneity in meta-analysis: Q statistic or I² index?
Huedo-Medina, T. B., Sánchez-Meca, J., Marín-Martínez, F., & Botella, J. (2006) · Psychological Methods · doi:10.1037/1082-989x.11.2.193 · Cited by 4,256
Kassinen, A., Krogius-Kurikka, L., Mäkivuokko, H., Rinttilä, T., Paulin, L., Corander, J., Malinen, E., Apajalahti, J., & Palva, A. (2007) · Gastroenterology · doi:10.1053/j.gastro.2007.04.005 · Cited by 1,002
Interaction between the gut microbiome and mucosal immune system
Shi, N., Li, N., Duan, X., & Niu, H. (2017) · Military Medical Research · doi:10.1186/s40779-017-0122-9 · Cited by 940
The epidemiology of irritable bowel syndrome
Card, T., Canavan, C., & West, J. (2014) · Clinical Epidemiology · doi:10.2147/clep.s40245 · Cited by 889
An irritable bowel syndrome subtype defined by species-specific alterations in faecal microbiota
Jeffery, I. B., O'Toole, P. W., Öhman, L., Claesson, M. J., Deane, J., Quigley, E. M. M., & Simrén, M. (2012) · Gut · doi:10.1136/gutjnl-2011-301501 · Cited by 835
Ford, A. C., Quigley, E. M. M., Lacy, B. E., Lembo, A. J., Saito, Y. A., Schiller, L. R., Soffer, E. E., Spiegel, B. M. R., & Moayyedi, P. (2014) · American Journal of Gastroenterology · doi:10.1038/ajg.2014.202 · Cited by 747
Gut Microbiota in Patients With Irritable Bowel Syndrome—A Systematic Review
Pittayanon, R., Lau, J. T., Yuan, Y., Leontiadis, G. I., Tse, F., Surette, M., & Moayyedi, P. (2019) · Gastroenterology · doi:10.1053/j.gastro.2019.03.049 · Cited by 719
Research works printed but not linked: 78
- El-Salhy, 2012, Irritable bowel syndrome: Diagnosis and pathogenesis, World J Gastroenterol, 18, 5151, 10.3748/wjg.v18.i37.5151 · DOI
- Simren, 2017, Update on Rome IV Criteria for colorectal disorders: Implications for clinical practice, Curr Gastroenterol Rep, 19, 15, 10.1007/s11894-017-0554-0 · DOI
- Makker, 2015, Genetic epidemiology of irritable bowel syndrome, World J Gastroenterol, 21, 11353, 10.3748/wjg.v21.i40.11353 · DOI
- Powell, 2017, The mucosal immune system: Master regulator of bidirectional gut-brain communications, Nat Rev Gastroenterol Hepatol, 14, 143, 10.1038/nrgastro.2016.191 · DOI · Paper page
- Pellissier, 2017, The place of stress and emotions in the irritable bowel syndrome, Vitam Hormon, 103, 327, 10.1016/bs.vh.2016.09.005 · DOI
- Deiteren, 2016, Irritable bowel syndrome and visceral hypersensitivity: Risk factors and pathophysiological mechanisms, Acta Gastroenterol Belg, 79, 29
- Quigley, 2005, Disturbances of motility and visceral hypersensitivity in irritable bowel syndrome: Biological markers or epiphenomenon, Gastroenterol Clin North Am, 34, 221, 10.1016/j.gtc.2005.02.010 · DOI
- Mullin, 2014, Irritable bowel syndrome: Contemporary nutrition management strategies, JPEN, 38, 781, 10.1177/0148607114545329 · DOI
- Sundin, 2017, Understanding the gut microbiota in inflammatory and functional gastrointestinal diseases, Psychosom Med, 79, 857, 10.1097/PSY.0000000000000470 · DOI
- Moloney, 2016, Stress and the microbiota-gut-brain axis in visceral parelevance to irritable bowel syndrome, CNS Neurosci Ther, 22, 102, 10.1111/cns.12490 · DOI · Paper page
- Gonzalez-Castro, 2017, Mucosal pathobiology and molecular signature of epithelial barrier dysfunction in the small intestine in irritable bowel syndrome, J Gastroenterol Hepatol, 32, 53, 10.1111/jgh.13417 · DOI
- Rea, 2017, The role of the gastrointestinal microbiota in visceral pain, Handb Exp Pharmacol, 239, 269, 10.1007/164_2016_115 · DOI
- Fukui, 2016, Increased intestinal permeability and decreased barrier function: Does it really influence the risk of inflammation?, Inflamm Intest Dis, 1, 135, 10.1159/000447252 · DOI · Paper page
- Ohman, 2010, Pathogenesis of IBS: Role of inflammation, immunity and neuroimmune interactions, Nat Rev Gastroenterol Hepatol, 7, 163, 10.1038/nrgastro.2010.4 · DOI · Paper page
- Moser, 2018, Intestinal microbiome-gut-brain axis and irritable bowel syndrome, Wien Med Wochenschr, 168, 62, 10.1007/s10354-017-0592-0 · DOI
- Halvorson, 2006, Postinfectious irritable bowel syndrome—A meta-analysis, Am J Gastroenterol, 101, 1894, 10.1111/j.1572-0241.2006.00654.x · DOI · Paper page
- Li, 2016, Rifaximin for irritable bowel syndrome: A meta-analysis of randomized placebo-controlled trials, Medicine (Baltimore), 95, 10.1097/MD.0000000000002534 · DOI
- Zhang, 2016, Effects of probiotic type, dose and treatment duration on irritable bowel syndrome diagnosed by Rome III criteria: A meta-analysis, BMC Gastroenterol, 16, 62, 10.1186/s12876-016-0470-z · DOI
- Valentin, 2017, Potential mechanisms of effects of serum-derived bovine immunoglobulin/protein isolate therapy in patients with diarrhea-predominant irritable bowel syndrome, Physiol Rep, 5, 10.14814/phy2.13170 · DOI
- El-Salhy, 2018, Fecal microbiota transplantation for managing irritable bowel syndrome, Expert Rev Gastroenterol Hepatol, 12, 439, 10.1080/17474124.2018.1447380 · DOI
- Jernberg, 2007, Long-term ecological impacts of antibiotic administration on the human intestinal microbiota, ISME J, 1, 56, 10.1038/ismej.2007.3 · DOI · Paper page
- Liberati, 2009, The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: Explanation and elaboration, PLoS Med, 6, 10.1371/journal.pmed.1000100 · DOI · Paper page
- Stroup, 2000, Meta-analysis of observational studies in epidemiology: A proposal for reporting. Meta-analysis of Observational Studies in Epidemiology (MOOSE) group, JAMA, 283, 2008, 10.1001/jama.283.15.2008 · DOI · Paper page
- DerSimonian, 1986, Meta-analysis in clinical trials, Control Clin Trials, 7, 177, 10.1016/0197-2456(86)90046-2 · DOI · Paper page
- Higgins, 2002, Quantifying heterogeneity in a meta-analysis, Stat Med, 21, 1539, 10.1002/sim.1186 · DOI · Paper page
- Ioannidis, 2007, Uncertainty in heterogeneity estimates in meta-analyses, BMJ, 335, 914, 10.1136/bmj.39343.408449.80 · DOI · Paper page
- Egger, 1997, Bias in meta-analysis detected by a simple, graphical test, BMJ, 315, 629, 10.1136/bmj.315.7109.629 · DOI · Paper page
- Kicinski, 2015, Publication bias in meta-analyses from the Cochrane Database of Systematic Reviews, Stat Med, 34, 2781, 10.1002/sim.6525 · DOI
- Zhang, 2008, Significance of intestinal tract normal bacteria flora quantitative analysis of IBS sufferers, Chin Med Guides, 5, 94
- Zhang, 2009, Analysis of targeted gut microbiota inpatients with irritable bowel syndrome using 16 s rDNA qPCR, Shandong Med J, 49, 51
- Durban, 2012, Structural alterations of faecal and mucosa-associated bacterial communities in irritable bowel syndrome, Environ Microbiol Rep, 4, 242, 10.1111/j.1758-2229.2012.00327.x · DOI
- Hua, 2014, Changes of the intestinal microflora in children with irritable bowel syndrome by SYBR green 1 real time fluorescent quantitative PCR method, Med Pharm J Chin Peoples Liberation Army, 26, 93
- Sheikh Sajjadieh, 2012, Dysbiosis in Ukrainian children with irritable bowel syndrome affected by natural radiation, Iran J Pediatr, 22, 364
- Carroll, 2011, Molecular analysis of the luminal- and mucosal-associated intestinal microbiota in diarrhea-predominant irritable bowel syndrome, Am J Physiol Gastrointest Liver Physiol, 301, G799, 10.1152/ajpgi.00154.2011 · DOI · Paper page
- Chassard, 2012, Functional dysbiosis within the gut microbiota of patients with constipated-irritable bowel syndrome, Aliment Pharmacol Ther, 35, 828, 10.1111/j.1365-2036.2012.05007.x · DOI
- Cui, 2012, Multistrain probiotic preparation significantly reduces symptoms of irritable bowel syndrome in a double-blind placebo-controlled study, Int J Clin Exp Med, 5, 238
- Mättö, 2005, Composition and temporal stability of gastrointestinal microbiota in irritable bowel syndrome—A longitudinal study in IBS and control subjects, FEMS Immunol Med Microbiol, 43, 213, 10.1016/j.femsim.2004.08.009 · DOI · Paper page
- Li, 2014, Analysis of patients with intestinal target bacteria diarrhea type irritable bowel syndrome, Acta Univ, 49, 633
- Chen, 2014, Study on the intestinal flora status of patients with different subtypes of irritable bowel syndrome, Jiangxi Med J, 49, 1459
- Wang, 2015, Changes of intestinal flora and mast cells in patients with irritable bowel syndrome and ulcerative colitis, Guangdong Med J, 36, 756
- Hu, 2012, Alteration and significance ofintestinal microbiota in patients with irritable bowel syndrome, Univ Med Anhui, 47, 86
- Zhuang, 2005, Study on the microecologicalchanges and curetive effects of irritable bowel syndrome by Chinese drug “Shenqu, Chin J Microecol, 17, 41
- Lopetuso, 2018, Gut microbiota in health, diverticular disease, irritable bowel syndrome, and inflammatory bowel diseases: Time for microbial marker of gastrointestinal disorders, Dig Dis, 36, 56, 10.1159/000477205 · DOI
- Zhuang, 2017, Alterations of gut microbiota in patients with irritable bowel syndrome: A systematic review and meta-analysis, J Gastroenterol Hepatol, 32, 28, 10.1111/jgh.13471 · DOI
- Yu, 2004, Control study on the microecology in irritable bowel syndrome, Chin J Digest, 24, 427
- Zhang, 1999, Intestinal flora changesin patients with irritable bowel syndrome after ingestion of Clostridium butyicum preparation, Chin J Microecol, 11, 164
- Li, 2003, Analysis of the gut microbiota and treatment of 63 cases of patients with irritable bowel syndrome, J Chin Physician, S1, 92
- Wu, 2011, Linking long-term dietary patterns with gut microbial enterotypes, Science, 334, 105, 10.1126/science.1208344 · DOI · Paper page
- Shukla, 2015, Fecal microbiota in patients with irritable bowel syndrome compared with healthy controls using real-time polymerase chain reaction: An evidence of dysbiosis, Digest Dis Sci, 60, 2953, 10.1007/s10620-015-3607-y · DOI
- Rinttila, 2004, Development of an extensive set of 16S rDNA-targeted primers for quantification of pathogenic and indigenous bacteria in faecal samples by real-time PCR, J Appl Microbiol, 97, 1166, 10.1111/j.1365-2672.2004.02409.x · DOI · Paper page
- Gerritzen, 2011, Rapid and sensitive detection of Shiga toxin-producing Escherichia coli directly from stool samples by real-time PCR in comparison to culture, enzyme immunoassay and Vero cell cytotoxicity assay, Clin Lab, 57, 993
- Kontopantelis, 2013, A re-analysis of the Cochrane Library data: The dangers of unobserved heterogeneity in meta-analyses, PLoS One, 8, 10.1371/journal.pone.0069930 · DOI · Paper page
- Saulnier, 2011, Gastrointestinal microbiome signatures of pediatric patients with irritable bowel syndrome, Gastroenterology, 141, 1782, 10.1053/j.gastro.2011.06.072 · DOI · Paper page
- Rajilic-Stojanovic, 2011, Global and deep molecular analysis of microbiota signatures in fecal samples from patients with irritable bowel syndrome, Gastroenterology, 141, 1792, 10.1053/j.gastro.2011.07.043 · DOI · Paper page
- Jalanka-Tuovinen, 2014, Faecal microbiota composition and host-microbe cross-talk following gastroenteritis and in postinfectious irritable bowel syndrome, Gut, 63, 1737, 10.1136/gutjnl-2013-305994 · DOI · Paper page
- Rangel, 2015, The relationship between faecal-associated and mucosal-associated microbiota in irritable bowel syndrome patients and healthy subjects, Aliment Pharmacol Ther, 42, 1211, 10.1111/apt.13399 · DOI
- Eckburg, 2005, Diversity of the human intestinal microbial flora, Science, 308, 1635, 10.1126/science.1110591 · DOI · Paper page
- Maharshak, 2018, Fecal and mucosa-associated intestinal microbiota in patients with diarrhea-predominant irritable bowel syndrome, Digest Dis Sci, 63, 1890, 10.1007/s10620-018-5086-4 · DOI
- Keita, 2018, Mucosal permeability and mast cells as targets for functional gastrointestinal disorders, Curr Opin Pharmacol, 43, 66, 10.1016/j.coph.2018.08.011 · DOI
- Damodharan, 2015, In vitro probiotic characterization of Lactobacillus strains from fermented radish and their anti-adherence activity against enteric pathogens, Can J Microbiol, 61, 837, 10.1139/cjm-2015-0311 · DOI
- Pusceddu, 2018, Visceral pain: Gut microbiota, a new hope?, J Biomed Sci, 25, 73, 10.1186/s12929-018-0476-7 · DOI
- Ringel-Kulka, 2014, Lactobacillus acidophilus NCFM affects colonic mucosal opioid receptor expression in patients with functional abdominal pain—A randomised clinical study, Aliment Pharmacol Ther, 40, 200, 10.1111/apt.12800 · DOI
- de Weerth, 2017, Do bacteria shape our development? Crosstalk between intestinal microbiota and HPA axis, Neurosci Biobehav Rev, 83, 458, 10.1016/j.neubiorev.2017.09.016 · DOI
- Yousefi, 2019, Probiotics importance and their immunomodulatory properties, J Cell Physiol, 234, 8008, 10.1002/jcp.27559 · DOI
- Cao, 2018, Lactobacillus acidophilus and Bifidobacterium longum supernatants upregulate the serotonin transporter expression in intestinal epithelial cells, Saudi J Gastroenterol, 24, 59, 10.4103/sjg.SJG_333_17 · DOI
- Schumann, 2018, Low fermentable, oligo-, di-, mono-saccharides and polyol diet in the treatment of irritable bowel syndrome: A systematic review and meta-analysis, Nutrition, 45, 24, 10.1016/j.nut.2017.07.004 · DOI
- Staudacher, 2014, Mechanisms and efficacy of dietary FODMAP restriction in IBS, Nat Rev Gastroenterol Hepatol, 11, 256, 10.1038/nrgastro.2013.259 · DOI
- Staudacher, 2012, Fermentable carbohydrate restriction reduces luminal bifidobacteria and gastrointestinal symptoms in patients with irritable bowel syndrome, J Nutr, 142, 1510
- McIntosh, 2017, FODMAPs alter symptoms and the metabolome of patients with IBS: A randomised controlled trial, Gut, 66, 1241, 10.1136/gutjnl-2015-311339 · DOI · Paper page
- Chumpitazi, 2015, Randomised clinical trial: Gut microbiome biomarkers are associated with clinical response to a low FODMAP diet in children with the irritable bowel syndrome, Aliment Pharmacol Ther, 42, 418, 10.1111/apt.13286 · DOI · Paper page
- Parkes, 2012, Distinct microbial populations exist in the mucosa-associated microbiota of sub-groups of irritable bowel syndrome, Neurogastroenterol Motil, 24, 31, 10.1111/j.1365-2982.2011.01803.x · DOI · Paper page
- Russell, 2011, Metabolic activities and probiotic potential of bifidobacteria, Int J Food Microbiol, 149, 88, 10.1016/j.ijfoodmicro.2011.06.003 · DOI · Paper page
- Sloan, 2018, A low FODMAP diet is associated with changes in the microbiota and reduction in breath hydrogen but not colonic volume in healthy subjects, PLoS One, 13, 10.1371/journal.pone.0201410 · DOI
- Tuohy, 2012, Up-regulating the human intestinal microbiome using whole plant foods, polyphenols, and/or fiber, J Agric Food Chem, 60, 8776, 10.1021/jf2053959 · DOI · Paper page
- Connolly, 2012, Wholegrain oat-based cereals have prebiotic potential and low glycaemic index, Br J Nutr, 108, 2198, 10.1017/S0007114512000281 · DOI
- Staudacher, 2016, Altered gastrointestinal microbiota in irritable bowel syndrome and its modification by diet: Probiotics, prebiotics and the low FODMAP diet, Proc Nutr Soc, 75, 306, 10.1017/S0029665116000021 · DOI
- Valeur, 2018, Exploring gut microbiota composition as an indicator of clinical response to dietary FODMAP restriction in patients with irritable bowel syndrome, Digest Dis Sci, 63, 429, 10.1007/s10620-017-4893-3 · DOI
- Bennet, 2018, Multivariate modelling of faecal bacterial profiles of patients with IBS predicts responsiveness to a diet low in FODMAPs, Gut, 67, 872, 10.1136/gutjnl-2016-313128 · DOI · Paper page
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Metadata
- Authors
- Wang, L., Alammar, N., Singh, R., Nanavati, J., Song, Y., Chaudhary, R., & Mullin, G. E.
- Venue
- Journal of the Academy of Nutrition and Dietetics
- Publisher
- Elsevier BV
- Published
- 2020-04
- Volume
- 120
- Issue
- 4
- Pages
- 565-586
- ISSN
- 2212-2672
- Cited by
- 209
- References
- 27
- Language
- en
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- Funders
- School of Medicine, Johns Hopkins University
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