Characterizing the gut microbiota in adults with bipolar disorder: a pilot study

Nutritional Neuroscience

Volumn 24, Issue 3, 2021, Pages 173-180

  McIntyre, Roger S ^a,b,c   Subramaniapillai, Mehala ^b   Shekotikhina, Margarita ^b   Carmona, Nicole E ^b   Lee, Yena ^b   Mansur, Rodrigo B ^a,b   Brietzke, Elisa ^b   Fus, Dominika ^b   Coles, Alexandria S ^b   Iacobucci, Michelle ^b   Park, Caroline ^b   Potts, Ryan ^d   Amer, Merwa ^d   Gillard, Jessica ^d   James, Cindy ^d   Anglin, Rebecca ^d   Surette, Michael G ^d  

^a UNIVERSITY OF TORONTO   (Canada)

^b UNIVERSITY HEALTH NETWORK   (Canada)

^c BRAIN AND COGNITION DISCOVERY FOUNDATION   (Canada)

^d MCMASTER UNIVERSITY   (Canada)

Author keywords

bipolar disorder; gut; microbiome; microbiota; Mood disorders

Indexed keywords

ALGORITHM; ARTICLE; BIPOLAR DISORDER; CLINICAL ARTICLE; CLOSTRIDIACEAE; CLUSTER ANALYSIS; DATA ANALYSIS; DATA PROCESSING; DNA EXTRACTION; DSM-5; FECES; FEMALE; FOOD FREQUENCY QUESTIONNAIRE; GENE AMPLIFICATION; HUMAN; ILLUMINA SEQUENCING; INTESTINE FLORA; MALE; MICROBIAL DIVERSITY; NONHUMAN; PILOT STUDY; POLYMERASE CHAIN REACTION; QUESTIONNAIRE; SAMPLE SIZE; ADOLESCENT; AGED; MICROBIOLOGY; MIDDLE AGED; YOUNG ADULT;

ADOLESCENT; AGED; BIPOLAR DISORDER; FECES; FEMALE; GASTROINTESTINAL MICROBIOME; HUMANS; MALE; MIDDLE AGED; PILOT PROJECTS; YOUNG ADULT;

EID: 85101077320     PISSN: 1028415X     EISSN: 14768305     Source Type: Journal    
DOI: 10.1080/1028415X.2019.1612555     Document Type: Article

References (32)

1. Round JL, Mazmanian SK., The gut microbiota shapes intestinal immune responses during health and disease. Nat Rev Immunol. 2009; 9: 313–23. doi: 10.1038/nri2515
2. Cicerone C, Bruno G, Lamonaca L, D’Abramo A, Oliva A, Zingaropoli MA, et al. OC.10.3: fecal microbiota Transplantation via enema for recurrent clostridium difficile infection modulates the inflammatory host response and restores intestinal dysbiosis. Dig Liver Dis 2017; 49: e103. doi: 10.1016/S1590-8658(17)30354-7
3. Wong M-L, Inserra A, Lewis MD, Mastronardi CA, Leong L, Choo J, et al. Inflammasome signaling affects anxiety- and depressive-like behavior and gut microbiome composition. Mol Psychiatry. 2016; 21: 797–805. doi: 10.1038/mp.2016.46
4. Rosenblat JD, McIntyre RS., Bipolar disorder and Inflammation. Psychiatry Clin North Am. 2016; 39: 125–37. doi: 10.1016/j.psc.2015.09.006
5. Bartram AK, Lynch MDJ, Stearns JC, Moreno-Hagelsieb G, Neufeld JD., Generation of multimillion-sequence 16S rRNA gene libraries from complex microbial communities by assembling paired-end illumina reads. Appl Environ Microbiol. 2011; 77: 3846–52. doi: 10.1128/AEM.02772-10
6. Whelan FJ, Surette MG., A comprehensive evaluation of the sl1p pipeline for 16S rRNA gene sequencing analysis. Microbiome. 2017; 5 (1). doi: 10.1186/s40168-017-0314-2.
7. Joshi N, Fass J., Sickle: a sliding-window, adaptive, quality-based trimming tool for FastQ files (version 1.33). 2011. Available from: https://githubcom/najoshi/sickle.
8. Martin M., Cutadapt removes adapter sequences from high-throughput sequencing reads. EMBnet J. 2011; 17: 10–12. doi: 10.14806/ej.17.1.200
9. Masella AP, Bartram AK, Truszkowski JM, Brown DG, Neufeld JD., PANDAseq: paired-end assembler for illumina sequences. BMC Bioinf. 2012; 13: 31. doi: 10.1186/1471-2105-13-31
10. Ye Y., Identification and quantification of abundant species from pyrosequences of 16S rRNA by consensus alignment. Proceedings 2010; 2011. p. 153–57.
11. Caporaso JG, Kuczynski J, Stombaugh J, Bittinger K, Bushman FD, Costello EK, et al. QIIME allows analysis of high-throughput community sequencing data. Nat Methods. 2010; 7: 335–36. doi: 10.1038/nmeth.f.303
12. Edgar RC, Haas BJ, Clemente JC, Quince C, Knight R., UCHIME improves sensitivity and speed of chimera detection. Bioinformatics. 2011; 27: 2194–200. doi: 10.1093/bioinformatics/btr381
13. McDonald D, Price MN, Goodrich J, Nawrocki EP, DeSantis TZ, Probst A, et al. An improved greengenes taxonomy with explicit ranks for ecological and evolutionary analyses of bacteria and archaea. ISME J. 2012; 6: 610–18. doi: 10.1038/ismej.2011.139
14. Anderson MJ., A new method for non-parametric multivariate analysis of variance. Austral Ecol. 2001; 26: 32–46.
15. Hebden L, Kostan E, O’Leary F, Hodge A, Allman-Farinelli M., Validity and reproducibility of a food frequency questionnaire as a measure of recent dietary intake in young adults. PLoS One. 2013; 8: e75156. doi: 10.1371/journal.pone.0075156
16. Mandal S, Treuren WV, White RA, Eggesbø M, Knight R, Peddada SD., Analysis of composition of microbiomes: a novel method for studying microbial composition. Microbial Ecol Health Disease. 2015; 26. doi: 10.3402/mehd.v26.27663.
17. Lozupone CA, Stombaugh JI, Gordon JI, Jansson JK, Knight R., Diversity, stability, and resilience of the human gut microbiota. Nature. 2012; 489 (7415): 220–30. doi: 10.1038/nature11550
18. Evans SJ, Bassis CM, Hein R, Assari S, Flowers SA, Kelly MB, et al. The gut microbiome composition associates with bipolar disorder and illness severity. J Psychiatric Res. 2017; 87: 23–29. doi: 10.1016/j.jpsychires.2016.12.007
19. Kageyama A, Benno Y., Emendation of genus Collinsella and proposal of Collinsella stercoris sp. nov. and Collinsella intestinalis sp. nov. Int J Syst Evol Microbiol. 2000; 50 (5): 1767–74. doi: 10.1099/00207713-50-5-1767.
20. Gibson MK, Wang B, Ahmadi S, Burnham CA, Tarr PI, Warner BB, Dantas G., Developmental dynamics of the preterm infant gut microbiota and antibiotic resistome. Nat Microbiol. 2016; 1: 16024. doi: 10.1038/nmicrobiol.2016.24.
21. Gomez-Arango LF, Barrett HL, McIntyre HD, Callaway LK, Morrison M, Dekker Nitert M, et al. Connections between the gut microbiome and metabolic hormones in early pregnancy in overweight and obese women. Diabetes. 2016; 65 (8): 2214–23. doi: 10.2337/db16-0278.
22. Kassinen A, Krogius-Kurikka L, Makivuokko H, Rinttila T, Paulin L, Corander J, et al. 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
23. Sasaki D, Sasaki K, Ikuta N, Yasuda T, Fukuda I, Kondo A, Osawa R., Low amounts of dietary fibre increase in vitro production of short-chain fatty acids without changing human colonic microbiota structure. Sci Rep. 2018; 8 (1). doi: 10.1038/s41598-017-18877-8.
24. Ríos-Covián D, Ruas-Madiedo P, Margolles A, Gueimonde M, Reyes-Gavilán CG, Salazar N., Intestinal short chain fatty acids and their link with diet and human health. Front Microbiol. 2016; 7. doi: 10.3389/fmicb.2016.00185.
25. Peng L, Li Z, Green RS, Holzman IR, Lin J., butyrate enhances the intestinal barrier by facilitating tight junction assembly via activation of AMP-activated protein kinase in Caco-2 cell monolayers. J Nutr. 2009; 139 (9): 1619–25. doi: 10.3945/jn.109.104638.
26. Jung T, Park JH, Jeon W, Han K., Butyrate modulates bacterial adherence on LS174T human colorectal cells by stimulating mucin secretion and MAPK signaling pathway. Nutr Res Pract. 2015; 9 (4): 343. doi: 10.4162/nrp.2015.9.4.343.
27. Karling P, Maripuu M, Wikgren M, Adolfsson R, Norrback K., Association between gastrointestinal symptoms and affectivity in patients with bipolar disorder. World J Gastroenterol. 2016; 22 (38): 8540. doi: 10.3748/wjg.v22.i38.8540.
28. Maier L, Pruteanu M, Kuhn M, Zeller G, Telzerow A, Anderson EE, et al. Extensive impact of non-antibiotic drugs on human gut bacteria. Nature. 2018; 555 (7698): 623–28. doi: 10.1038/nature25979.
29. Cussotto S, Strain CR, Fouhy F, Strain RG, Peterson VL, Clarke G, et al. Differential effects of psychotropic drugs on microbiome composition and gastrointestinal function. Psychopharmacology. 2018. doi: 10.1007/s00213-018-5006-5.
30. Gloor GB, Macklaim JM, Pawlowsky-Glahn V, Egozcue JJ., Microbiome datasets are compositional: and this is not optional. Front Microbiol. 2017; 8: 2224. doi: 10.3389/fmicb.2017.02224.
31. Jacka FN, Pasco JA, Williams LJ, Mann N, Hodge A, Brazionis L, Berk M., Red meat consumption and mood and anxiety disorders. Psychother Psychosom. 2012; 81 (3): 196–98. doi: 10.1159/000334910.
32. Jiang H, Ling Z, Zhang Y, Mao H, Ma Z, Yin Y, et al. Altered fecal microbiota composition in patients with major depressive disorder. Brain Behav Immun. 2015; 48: 186–94. doi: 10.1016/j.bbi.2015.03.016.