Correction: The gut-brain axis in healthy females: Lack of significant association between microbial composition and diversity with psychiatric measures (PLoS One (2017) 12:1 (e0170208) DOI: 10.1371/journal.pone.0170208);The gut-brain axis in healthy females: Lack of significant association between microbial composition and diversity with psychiatric measures

PLoS ONE

Volumn 12, Issue 1, 2017, Pages

  Kleiman, Susan C ^a   Bulik Sullivan, Emily C ^b   Glenny, Elaine M ^a   Zerwas, Stephanie C ^b   Huh, Eun Young ^b   Tsilimigras, Matthew C B ^c   Fodor, Anthony A ^c   Bulik, Cynthia M ^a,b,d   Carroll, Ian M ^b  

^a University of North Carolina at Chapel Hill   (United States)

^b UNIVERSITY OF NORTH CAROLINA SCHOOL OF MEDICINE   (United States)

^c University of North Carolina at Charlotte   (United States)

^d KAROLINSKA INSTITUTE   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ANXIETY; ARTICLE; BECK ANXIETY INVENTORY; BECK DEPRESSION INVENTORY; BEHAVIOR DISORDER ASSESSMENT; BODY MASS; DEPRESSION; EATING DISORDER; EATING DISORDER EXAMINATION QUESTIONNAIRE; FEMALE; HUMAN; INTESTINE FLORA; MENTAL HEALTH; MICROBIAL DIVERSITY; MINI INTERNATIONAL PERSONALITY ITEM POOL; NORMAL HUMAN; NORTH CAROLINA; PERCEIVED STRESS SCALE; PERSONALITY; PERSONALITY TEST; STRESS; BIODIVERSITY; COHORT ANALYSIS; GENETICS; MENTAL DISEASE; MENTAL STRESS; MICROBIOLOGY; MIDDLE AGED; PHYSIOLOGY; PSYCHOLOGICAL RATING SCALE; QUESTIONNAIRE; YOUNG ADULT;

RNA 16S;

ADULT; ANXIETY; BIODIVERSITY; COHORT STUDIES; DEPRESSION; FEEDING AND EATING DISORDERS; FEMALE; GASTROINTESTINAL MICROBIOME; HUMANS; MENTAL DISORDERS; MIDDLE AGED; NORTH CAROLINA; PERSONALITY; PSYCHIATRIC STATUS RATING SCALES; RNA, RIBOSOMAL, 16S; STRESS, PSYCHOLOGICAL; SURVEYS AND QUESTIONNAIRES; YOUNG ADULT;

EID: 85010053502     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0221724     Document Type: Erratum

References (72)

1. Diaz Heijtz R, Wang S, Anuar F, Qian Y, Bjorkholm B, Samuelsson A, et al. Normal gut microbiota modulates brain development and behavior. Proc Natl Acad Sci USA. 2011; 108(7):3047-52. Epub 2011/02/02. doi: 10.1073/pnas.1010529108 PMID: 21282636
2. Dinan TG, Cryan JF. The impact of gut microbiota on brain and behaviour: implications for psychiatry. CurrOpin Clin Nutr MetabCare. 2015; 18(6):552-8. doi: 10.1097/MCO.0000000000000221 PMID: 26372511
3. Friedrich MJ Unraveling the influence of gut microbes on the mind. JAMA. 2015; 313(17):1699-701. doi: 10.1001/jama.2015.2159 PMID: 25942709
4. Sampson TR, Mazmanian SK. Control of brain development, function, and behavior by the microbiome. Cell Host Microbe. 2015; 17(5):565-76. doi: 10.1016/j.chom.2015.04.011 PMID: 25974299
5. Bravo JA, Forsythe P, Chew MV, Escaravage E, Savignac HM, Dinan TG, et al. Ingestion of Lactobacillus strain regulates emotional behavior and central GABA receptor expression in a mouse via the vagus nerve. Proc Natl Acad Sci USA. 2011; 108(38):16050-5. Epub 2011/08/31. doi: 10.1073/pnas.1102999108 PMID: 21876150
6. Sudo N, Chida Y, Aiba Y, Sonoda J, Oyama N, Yu XN, et al. Postnatal microbial colonization programs the hypothalamic-pituitary-adrenal system for stress response in mice. J Physiol. 2004; 558(Pt 1):263-75. Epub 2004/05/11. doi: 10.1113/jphysiol.2004.063388 PMID: 15133062
7. Clarke G, Grenham S, Scully P, Fitzgerald P, Moloney RD, Shanahan F, et al. The microbiome-gut-brain axis during early life regulates the hippocampal serotonergic system in a sex-dependent manner. Mol Psychiatry. 2013; 18(6):666-73. Epub 2012/06/13. doi: 10.1038/mp.2012.77 PMID: 22688187
8. Neufeld KA, Kang N, Bienenstock J, Foster JA. Effects of intestinal microbiota on anxiety-like behavior. Commun Integr Biol. 2011; 4(4):492-4. Epub 2011/10/04. PMID: 21966581
9. Neufeld KM, Kang N, Bienenstock J, Foster JA. Reduced anxiety-like behavior and central neurochemical change in germ-free mice. Neurogastroenterol Motil. 2011; 23(3):255-64, e119. Epub 2010/11/09. doi: 10.1111/j.1365-2982.2010.01620.x PMID: 21054680
10. Desbonnet L, Garrett L, Clarke G, Kiely B, Cryan JF, Dinan TG. Effects of the probiotic Bifidobacterium infantisin the maternal separation model of depression. Neuroscience. 2010; 170(4):1179-88. Epub 2010/08/11. doi: 10.1016/j.neuroscience.2010.08.005 PMID: 20696216
11. 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 PMID: 25882912
12. Kleiman SC, Watson HJ, Bulik-Sullivan EC, Huh EY, Tarantino LM, Bulik CM, et al. The intestinal microbiota in acute anorexia nervosa and during renourishment: relationship to depression, anxiety, and eating disorder psychopathology. Psychosom Med. 2015; 77(9):969-81. doi: 10.1097/PSY.0000000000000247 PMID: 26428446
13. Messaoudi M, Lalonde R, Violle N, Javelot H, Desor D, Nejdi A, et al. Assessment of psychotropic-like properties of a probiotic formulation (Lactobacillus helveticus R0052 and Bifidobacterium longum R0175) in rats and human subjects. Br J Nutr. 2011; 105(5):755-64. doi: 10.1017/S0007114510004319 PMID: 20974015
14. Schmidt K, Cowen PJ, Harmer CJ, Tzortzis G, Errington S, Burnet PW. Prebiotic intake reduces the waking cortisol response and alters emotional bias in healthy volunteers. Psychopharmacology (Berl). 2015; 232(10):1793-801.
15. Steenbergen L, Sellaro R, van Hemert S, Bosch JA, Colzato LS. A randomized controlled trial to test the effect of multispecies probiotics on cognitive reactivity to sad mood. Brain Behav Immun. 2015; 48:258-64. doi: 10.1016/j.bbi.2015.04.003 PMID: 25862297
16. Cryan JF, Dinan TG. Mind-altering microorganisms: the impact of the gut microbiota on brain and behaviour. Nat RevNeurosci. 2012; 13(10):701-12. doi: 10.1038/nrn3346 PMID: 22968153
17. Beck AT, Steer RA. Manual for the Beck Anxiety Inventory. San Antonio, TX: Psychological Corporation; 1993.
18. Creamer M, Foran J, Bell R. The Beck Anxiety Inventory in a non-clinical sample. Behav Res Ther. 1995; 33(4):477-85. PMID: 7755538
19. Beck AT, Steer RA, Brown GK. Manual for the Beck Depression Inventory-II. San Antonio, TX: Psychological Corporation; 1996.
20. Carmody DP Psychometric characteristics of the Beck Depression Inventory-II with college students of diverse ethnicity. Int J Psych Clin Pract. 2005; 9(1):22-8.
21. Fairburn CG, Beglin SJ. Assessment of eating disorders: interview or self-report questionnaire? Int J Eat Disord. 1994; 16(4):363-70. PMID: 7866415
22. Mond JM, Hay PJ, Rodgers B, Owen C, Beumont PJ. Validity of the Eating Disorder Examination Questionnaire (EDE-Q) in screening for eating disorders in community samples. Behav Res Ther. 2004; 42 (5):551-67. doi: 10.1016/S0005-7967(03)00161-X PMID: 15033501
23. Cohen S, Williamson G. Perceived stress in a probability sample of the United States. In: Spacapan S, Oskamp S, editors. The Social Psychology of Health: Claremont Symposium on Applied Social Psychology. Newbury Park, CA: Sage; 1988.
24. Taylor JM Psychometric analysis of the Ten-Item Perceived Stress Scale. Psychol Assess. 2015; 27 (1):90-101. doi: 10.1037/a0038100 PMID: 25346996
25. Donnellan MB, Oswald FL, Baird BM, Lucas RE. The mini-IPIP scales: tiny-yet-effective measures of the Big Five factors of personality. Psychol Assess. 2006; 18(2):192-203. doi: 10.1037/1040-3590.18.2.192 PMID: 16768595
26. Carroll IM, Ringel-Kulka T, Keku TO, Chang YH, Packey CD, Sartor RB, et al. Molecular analysis of the luminal- and mucosal-associated intestinal microbiota in diarrhea-predominant irritable bowel syndrome. Am J Physiol Gastrointest Liver Physiol. 2011; 301(5):G799-807. Epub 2011/07/09. doi: 10.1152/ajpgi.00154.2011 PMID: 21737778
27. Carroll IM, Ringel-Kulka T, Siddle JP, Ringel Y. Alterations in composition and diversity of the intestinal microbiota in patients with diarrhea-predominant irritable bowel syndrome. Neurogastroenterol Motil. 2012; 24(6):521-30, e248. Epub 2012/02/22. doi: 10.1111/j.1365-2982.2012.01891.x PMID: 22339879
28. Werner JJ, Zhou D, Caporaso JG, Knight R, Angenent LT. Comparison of Illumina paired-end and single-direction sequencing for microbial 16S rRNAgeneamplicon surveys. ISME J. 2012; 6(7):1273-6. doi: 10.1038/ismej.2011.186 PMID: 22170427
29. Meyer F, Paarmann D, D'Souza M, Olson R, Glass EM, Kubal M, et al. The metagenomics RAST server - a public resource for the automatic phylogenetic and functional analysis of metagenomes. BMC Bioinformatics. 2008; 9(1):386.
30. 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(5):335-6. Epub 2010/04/13. doi: 10.1038/nmeth.f.303 PMID: 20383131
31. 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(3):610-8. Epub 2011/12/03. doi: 10.1038/ismej.2011.139 PMID: 22134646
32. Lozupone C, Knight R. UniFrac: a new phylogenetic method for comparing microbial communities. Appl Environ Microbiol. 2005; 71(12):8228-35. Epub 2005/12/08. doi: 10.1128/AEM.71.12.8228-8235.2005 PMID: 16332807
33. Lozupone C, Lladser ME, Knights D, Stombaugh J, Knight R. UniFrac: an effective distance metric for microbial community comparison. ISME J. 2011; 5(2):169-72. Epub 2010/09/10.doi: 10.1038/ismej.2010.133 PMID: 20827291
34. Lozupone CA, Hamady M, Kelley ST, Knight R. Quantitative and qualitative beta diversity measures lead to different insights into factors that structure microbial communities. Appl Environ Microbiol. 2007; 73(5):1576-85. Epub 2007/01/16. doi: 10.1128/AEM.01996-06 PMID: 17220268
35. Wang Q, Garrity GM, Tiedje JM, Cole JR. Naive Bayesian classifier for rapid assignment of rRNA sequences into the new bacterial taxonomy. Appl Environ Microbiol. 2007; 73(16):5261-7. Epub 2007/06/26. doi: 10.1128/AEM.00062-07 PMID: 17586664
36. R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing; 2015.
37. Hill MO Diversity and evenness: A unifying notation and its consequences. Ecology. 1973; 54(2):427-32.
38. Haegeman B, Hamelin J, Moriarty J, Neal P, Dushoff J, Weitz JS. Robust estimation of microbial diversity in theory and in practice. ISME J. 2013; 7(6):1092-101. doi: 10.1038/ismej.2013.10 PMID: 23407313
39. Benjamini Y, Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc Series B Stat Methodol. 1995; 57:289-300.
40. Benjamini Y, Drai D, Elmer G, Kafkafi N, Golani I. Controlling the false discovery rate in behavior genetics research. Behav Brain Res. 2001; 125(1-2):279-84. PMID: 11682119
41. CDC. About Adult BMI: Division of Nutrition, Physical Activity, and Obesity, National Center for Chronic Disease Prevention and Health Promotion; 2015 [updated May 15, 2015; cited 2015 December 8]. http://www.cdc.gov/healthyweight/assessing/bmi/adultbmi/index.html.
42. Wang YP, Gorenstein C. Psychometric properties of the Beck Depression Inventory-II: a comprehensive review. Rev Bras Psiquiatr. 2013; 35(4):416-31. doi: 10.1590/1516-4446-2012-1048 PMID: 24402217
43. Osman A, Kopper BA, Barrios FX, Osman JR, Wade T. The Beck Anxiety Inventory: reexamination of factor structure and psychometric properties. J Clin Psychol. 1997; 53(1):7-14. PMID: 9120035
44. Birks Y, McKendree J, Watt I. Emotional intelligence and perceived stress in healthcare students: a multi-institutional, multi-professional survey. BMC Med Educ. 2009; 9:61. doi: 10.1186/1472-6920-9-61 PMID: 19761603
45. Welch E, Birgegard A, Parling T, Ghaderi A. Eating disorder examination questionnaire and clinical impairment assessment questionnaire: general population and clinical norms for young adult women in Sweden. Behav Res Ther. 2011; 49(2):85-91. Epub 2010/12/28. doi: 10.1016/j.brat.2010.10.010 PMID: 21185552
46. Mond JM, Hay PJ, Rodgers B, Owen C. Eating Disorder Examination Questionnaire (EDE-Q): Norms for young adult women. Behav Res Ther. 2006; 44(1):53-62. doi: 10.1016/j.brat.2004.12.003 PMID: 16301014
47. Quick VM, Byrd-Bredbenner C. Eating Disorders Examination Questionnaire (EDE-Q): norms for US college students. Eat Weight Disord. 2013; 18(1):29-35. doi: 10.1007/s40519-013-0015-1 PMID: 23757248
48. North Carolina State Center for Health Statistics. 2015 BRFSS Survey Results: North Carolina Derived Variables and Risk Factors-Females: Body Mass Index Grouping-Underweight, Recommended Range, Overweight and Obese Web 2015 [cited 2016]. http://www.schs.state.nc.us/data/brfss/2015/nc/female/rf1.html.
49. Julian LJ Measures of anxiety: State-Trait Anxiety Inventory (STAI), Beck Anxiety Inventory (BAI), and Hospital Anxiety and Depression Scale-Anxiety (HADS-A). Arthritis Care Res. 2011; 63(S11):S467-S72.
50. Gillis MM, Haaga DAF, Ford GT. Normative values for the Beck Anxiety Inventory, Fear Questionnaire, Penn State Worry Questionnaire, and Social Phobia and Anxiety Inventory. Psychol Assess. 1995; 7 (4):450-5.
51. Hunt M, Auriemma J, Cashaw ACA Self-report bias and underreporting of depression on the BDI-II. J Pers Assess. 2003; 80(1):26-30. doi: 10.1207/S15327752JPA800110 PMID: 12584064
52. Mond JM, Myers TC, Crosby RD, Hay PJ, Rodgers B, Morgan JF, et al. Screening for eating disorders in primary care: EDE-Q versus SCOFF. Behav Res Ther. 2008; 46(5):612-22. doi: 10.1016/j.brat.2008.02.003 PMID: 18359005
53. Cohen S, Kamarck T, Mermelstein R. A global measure of perceived stress. J Health Soc Behavior. 1983; 24(4):385-96.
54. Cole SR Assessment of differential item functioing in the Perceived Stress Scale-10.J Epidemiol Community Health. 1999;53:319-20. PMID: 10396541
55. Cooper AJ, Smillie LD, Corr PJ. A confirmatory factor analysis of the Mini-IPIP five-factor model personality scale. Pers Individ Diff. 2010; 48(5):688-91.
56. Falony G, Joossens M, Vieira-Silva S, Wang J, Darzi Y, Faust K, et al. Population-level analysis of gut microbiome variation. Science. 2016; 352(6285):560-4. doi: 10.1126/science.aad3503 PMID: 27126039
57. Zhernakova A, Kurilshikov A, Bonder MJ, Tigchelaar EF, Schirmer M, Vatanen T, et al. Population-based metagenomics analysis reveals markers for gut microbiome composition and diversity. Science. 2016; 352(6285):565-9. doi: 10.1126/science.aad3369 PMID: 27126040
58. Goehler LE, Park SM, Opitz N, Lyte M, Gaykema RP. Campylobacterjejuniinfection increases anxietylike behavior in the holeboard: possible anatomical substrates for viscerosensory modulation of exploratory behavior. Brain Beh Immun. 2008; 22(3):354-66. Epub 2007/10/09.
59. Lyte M, Li W, Opitz N, Gaykema RP, Goehler LE. Induction of anxiety-like behavior in mice during the initial stages of infection with the agent of murine colonic hyperplasia Citrobacterrodentium. Physiol Behav. 2006; 89(3):350-7. Epub 2006/08/05. doi: 10.1016/j.physbeh.2006.06.019 PMID: 16887154
60. Lyte M, Varcoe JJ, Bailey MT. Anxiogenic effect of subclinical bacterial infection in mice in the absence of overt immune activation. Physiol Behav. 1998; 65(1):63-8. Epub 1998/11/12. PMID: 9811366
61. Bercik P, Denou E, Collins J, Jackson W, Lu J, Jury J, et al. The intestinal microbiota affect central levels of brain-derived neurotropic factor and behavior in mice. Gastroenterology. 2011; 141(2):599-609, e1-3. Epub 2011/06/21. doi: 10.1053/j.gastro.2011.04.052 PMID: 21683077
62. Tarr AJ, Galley JD, Fisher SE, Chichlowski M, Berg BM, Bailey MT. The prebiotics 3'Sialyllactose and 6'Sialyllactose diminish stressor-induced anxiety-like behavior and colonic microbiota alterations: Evidence for effects on the gut-brain axis. Brain Behav Immun. 2015; 50:166-77. doi: 10.1016/j.bbi.2015.06.025 PMID: 26144888
63. Hoban AE, Stilling RM, Ryan FJ, Shanahan F, Dinan TG, Claesson MJ, et al. Regulation of prefrontal cortex myelination by the microbiota. Transl Psychiatry. 2016; 6:e774. doi: 10.1038/tp.2016.42 PMID: 27045844
64. Naseribafrouei A, Hestad K, Avershina E, Sekelja M, Linlokken A, Wilson R, et al. Correlation between the human fecal microbiota and depression. Neurogastroenterol Motil. 2014; 26(8):1155-62. Epub 2014/06/04. doi: 10.1111/nmo.12378 PMID: 24888394
65. Christian LM, Galley JD, Hade EM, Schoppe-Sullivan S, Kamp Dush C, Bailey MT. Gut microbiome composition is associated with temperament during early childhood. Brain Behav Immun. 2015; 45:118-27. doi: 10.1016/j.bbi.2014.10.018 PMID: 25449582
66. Kristensen NB, Bryrup T, Allin KH, Nielsen T, Hansen TH, Pedersen O. Alterations in fecal microbiota composition by probiotic supplementation in healthy adults: a systematic review of randomized controlled trials. Genome Med. 2016; 8(1).
67. McNulty NP, Yatsunenko T, Hsiao A, Faith JJ, Muegge BD, Goodman AL, et al. The impact of a consortium of fermented milk strains on the gut microbiome of gnotobiotic mice and monozygotic twins. Sci Transl Med. 2011; 3(106):106ra.
68. Dean OM, Maes M, Ashton M, Berk L, Kanchanatawan B, Sughondhabirom A, et al. Protocol and rationale-the efficacy of minocycline as an adjunctive treatment for major depressive disorder: a double blind, randomised, placebo controlled trial. Clin Psychopharmacol Neurosci. 2014; 12(3):180-8. doi: 10.9758/cpn.2014.12.3.180 PMID: 25598820
69. Ridlon JM, Kang D-J, Hylemon PB. Bile salt biotransformations by human intestinal bacteria. J Lipid Res. 2005; 47(2):241-59. doi: 10.1194/jlr.R500013-JLR200 PMID: 16299351
70. Guinane CM, Tadrous A, Fouhy F, Ryan CA, Dempsey EM, Murphy B, et al. Microbial composition of human appendices from patients following appendectomy. MBio. 2013; 4(1).
71. Blazquez AB, Berin MC. Microbiome and food allergy. Transl Res. 2016.
72. David LA, Maurice CF, Carmody RN, Gootenberg DB, Button JE, Wolfe BE, et al. Diet rapidly and reproducibly alters the human gut microbiome. Nature. 2013; 505(7484):559-63. doi: 10.1038/nature12820 PMID: 24336217