Cited by 597Gut microbiota and healthTryptophan and brain disordersGastrointestinal motility and disorders

Systematic Review of Gut Microbiota and Major Depression

Open access
Cheung, Stephanie G., Goldenthal, Ariel R., Uhlemann, Anne-Catrin, Mann, J. John, Miller, Jeffrey M., Sublette, M. Elizabeth·2019·Frontiers in Psychiatry

Abstract

Background: Recently discovered relationships between the gastrointestinal microbiome and the brain have implications for psychiatric disorders, including major depressive disorder (MDD). Bacterial transplantation from MDD patients to rodents produces depression-like behaviors. In humans, case-control studies have examined the gut microbiome in healthy and affected individuals. We systematically reviewed existing studies comparing gut microbial composition in MDD and healthy volunteers. Methods: A PubMed literature search combined the terms “depression,” “depressive disorder,” “stool,” “fecal,” “gut,” and “microbiome” to identify human case-control studies that investigated relationships between MDD and microbiota quantified from stool. We evaluated the resulting studies, focusing on bacterial taxa that were different between MDD and healthy controls. Results: Six eligible studies were found in which 50 taxa exhibited differences (p<0.05) between patients with MDD and controls. Patient characteristics and methodologies varied widely between studies. Five phyla—Bacteroidetes, Firmicutes, Actinobacteria, Fusobacteria and Protobacteria—were represented; however, divergent results occurred across studies for all phyla. The largest number of differentiating taxa were within phylum Firmicutes, in which nine families and twelve genera differentiated the diagnostic groups. The majority of these families and genera were found to be statistically different between the two groups in two studies identified. Family Lachnospiraceae differentiated the diagnostic groups in four studies (with an even split in directionality). Across all five phyla, nine genera were higher in MDD (Anaerostipes, Blautia, Clostridium, Klebsiella, Lachnospiraceae incertae sedis, Parabacteroides, Parasuterella, Phascolarctobacterium, and Streptococcus), six were lower (Bifidobacterium, Dialister, Escherichia/Shigella, Faecalibacterium, and Ruminococcus), and six were divergent (Alistipes, Bacteroides, Megamonas, Oscillibacter, Prevotella, and Roseburia). We highlight mechanisms and products of bacterial metabolism as they may relate to the etiology of depression. Conclusions: No consensus has emerged from existing human studies of depression and gut microbiome concerning which bacterial taxa are most relevant to depression. This may in part be due to differences in study design. Given that bacterial functions are conserved across taxonomic groups, we propose that studying microbial functioning may be more productive than a purely taxonomic approach to understanding the gut microbiome in depression.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3389/fpsyt.2019.00034

Cites

25 of 25 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 124

  1. [1]Gotlib IH Hammen CL Handbook of Depression. New York, NY: The Guilford Press (2009).
  2. [6]Tannock GW Understanding the Gut Microbiota. Hoboken, NJ: John Wiley & Sons (2017). 10.1002/9781118801413 · DOI
  3. [8]Ait-Belgnaoui A Durand H Cartier C Chaumaz G Eutamene H Ferrier L. Prevention of gut leakiness by a probiotic treatment leads to attenuated HPA response to an acute psychological stress in rats. Psychoneuroendocrinology (2012) 37: 1885– 95. 10.1016/j.psyneuen.2012.03.024 22541937 · DOI · Paper page
  4. [9]Barrett E Ross RP O'Toole PW Fitzgerald GF Stanton C. γ-Aminobutyric acid production by culturable bacteria from the human intestine. J Appl Microbiol. (2012) 113: 411– 7. 10.1111/j.1365-2672.2012.05344.x 22612585 · DOI · Paper page
  5. [10]Cummings JH Pomare EW Branch WJ Naylor CP Macfarlane GT. Short chain fatty acids in human large intestine, portal, hepatic and venous blood. Gut (1987) 28: 1221– 7. 10.1136/gut.28.10.1221 3678950 PMC1433442 · DOI · Paper page
  6. [11]Hooper LV Stappenbeck TS Hong CV Gordon JI. Angiogenins: a new class of microbicidal proteins involved in innate immunity. Nat Immunol. (2003) 4: 269– 73. 10.1038/ni888 12548285 · DOI
  7. [13]Cash HL Whitham CV Behrendt CL Hooper LV. Symbiotic bacteria direct expression of an intestinal bactericidal lectin. Science (2006) 313: 1126– 30. 10.1126/science.1127119 16931762 PMC2716667 · DOI · Paper page
  8. [14]Bouskra D Brézillon C Bérard M Werts C Varona R Boneca IG. Lymphoid tissue genesis induced by commensals through NOD1 regulates intestinal homeostasis. Nature (2008) 456: 507. 10.1038/nature07450 18987631 · DOI · Paper page
  9. [16]Miyamoto J Mizukure T Park SB Kishino S Kimura I Hirano K. A gut microbial metabolite of linoleic acid, 10-hydroxy-cis-12-octadecenoic acid, ameliorates intestinal epithelial barrier impairment partially via GPR40-MEK-ERK pathway. J Biol Chem. (2015) 290: 2902– 18. 10.1074/jbc.M114.610733 25505251 PMC4317025 · DOI · Paper page
  10. [17]Maes M Kubera M Leunis JC. The gut-brain barrier in major depression: intestinal mucosal dysfunction with an increased translocation of LPS from gram negative enterobacteria, (leaky gut) plays a role in the inflammatory pathophysiology of depression. Neuro Endocrinol Lett. (2008) 29: 117– 24. 18283240
  11. [18]Maes M Kubera M Leunis JC Berk M Increased IgA and IgM responses against gut commensals in chronic depression: further evidence for increased bacterial translocation or leaky gut. J Affect Disord. (2012) 141: 55– 62. 10.1016/j.jad.2012.02.023 22410503 · DOI · Paper page
  12. [19]Maes M Kubera M Leunis JC Berk M Geffard M Bosmans E. In depression, bacterial translocation may drive inflammatory responses, oxidative and nitrosative stress, (O&NS), and autoimmune responses directed against O&NS-damaged neoepitopes. Acta Psychiatr Scand. (2013) 127: 344– 54. 10.1111/j.1600-0447.2012.01908.x 22900942 · DOI
  13. [22]Kelly JR Borre Y O'Brien C Patterson E El Aidy S Deane J. Transferring the blues: depression-associated gut microbiota induces neurobehavioural changes in the rat. J Psychiatr Res. (2016) 82: 109– 18. 10.1016/j.jpsychires.2016.07.019 27491067 · DOI · Paper page
  14. [23]Zheng P Zeng B Zhou C Liu M Fang Z Xu X. Gut microbiome remodeling induces depressive-like behaviors through a pathway mediated by the host's metabolism. Mol Psychiatry (2016) 21: 786– 96. 10.1038/mp.2016.44 27067014 · DOI · Paper page
  15. [24]Mi GL Zhao L Qiao DD Kang WQ Tang MQ Xu JK. Effectiveness of Lactobacillus reuteri in infantile colic and colicky induced maternal depression: a prospective single blind randomized trial. Antonie van Leeuwenhoek (2015) 107: 1547– 53. 10.1007/s10482-015-0448-9 25876529 · DOI
  16. [25]Hsiao EY Sara McBride W Hsien S Sharon G Embriette Hyde R McCue T. Microbiota modulate behavioral and physiological abnormalities associated with neurodevelopmental disorders. Cell (2013) 155: 1451– 63. 10.1016/j.cell.2013.11.024 24315484 PMC3897394 · DOI · Paper page
  17. [26]Naseribafrouei A Hestad K Avershina E Sekelja M Linlokken A Wilson R. Correlation between the human fecal microbiota and depression. Neurogastroenterol Motil (2014) 26: 1155– 62. 10.1111/nmo.12378 24888394 · DOI · Paper page
  18. [27]Jiang H Ling Z Zhang Y Mao H Ma Z Yin Y. Altered fecal microbiota composition in patients with major depressive disorder. Brain Behav Immun. (2015) 48: 186– 94. 10.1016/j.bbi.2015.03.016 25882912 · DOI · Paper page
  19. [28]Aizawa E Tsuji H Asahara T Takahashi T Teraishi T Yoshida S. Possible association of Bifidobacterium and Lactobacillus in the gut microbiota of patients with major depressive disorder. J Affect Disord. (2016) 202: 254– 7. 10.1016/j.jad.2016.05.038 27288567 · DOI · Paper page
  20. [29]Lin P Ding B Feng C Yin S Zhang T Qi X. Prevotella and Klebsiella proportions in fecal microbial communities are potential characteristic parameters for patients with major depressive disorder. J Affect Disord. (2017) 207: 300– 4. 10.1016/j.jad.2016.09.051 27741466 · DOI · Paper page
  21. [30]Chen Z Li J Gui S Zhou C Chen J Yang C. Comparative metaproteomics analysis shows altered fecal microbiota signatures in patients with major depressive disorder. Neuroreport (2018) 29: 417– 25. 10.1097/WNR.0000000000000985 29432299 · DOI
  22. [32]Wu GD Chen J Hoffmann C Bittinger K Chen YY Keilbaugh SA. Linking long-term dietary patterns with gut microbial enterotypes. Science (2011) 334: 105– 8. 10.1126/science.1208344 21885731 PMC3368382 · DOI · Paper page
  23. [34]He Y Wu W Zheng HM Li P McDonald D Sheng HF Regional variation limits applications of healthy gut microbiome reference ranges and disease models. Nat Med. (2018) 24: 1532– 5. 10.1038/s41591-018-0164-x 30150716 · DOI · Paper page
  24. [35]Davey KJ Cotter PD O'Sullivan O Crispie F Dinan TG Cryan JF. Antipsychotics and the gut microbiome: olanzapine-induced metabolic dysfunction is attenuated by antibiotic administration in the rat. Transl Psychiatry (2013) 3: e309. 10.1038/tp.2013.83 24084940 PMC3818006 · DOI · Paper page
  25. [39]Thomas CM Versalovic J. Probiotics-host communication: modulation of signaling pathways in the intestine. Gut Microbes (2010) 1: 148– 63. 10.4161/gmic.1.3.11712 20672012 PMC2909492 · DOI
  26. [40]Hemarajata P Versalovic J. Effects of probiotics on gut microbiota: mechanisms of intestinal immunomodulation and neuromodulation. Therap Adv Gastroenterol. (2013) 6: 39– 51. 10.1177/1756283X12459294 23320049 PMC3539293 · DOI · Paper page
  27. [42]Spencer MD Hamp TJ Reid RW Fischer LM Zeisel SH Fodor AA. Association between composition of the human gastrointestinal microbiome and development of fatty liver with choline deficiency. Gastroenterology (2011) 140: 976– 86. 10.1053/j.gastro.2010.11.049 21129376 PMC3049827 · DOI · Paper page
  28. [43]Huttenhower C Structure, function and diversity of the healthy human microbiome. Nature (2012) 486: 207– 14. 10.1038/nature11234 22699609 PMC3564958 · DOI · Paper page
  29. [44]Yadav M Verma MK Chauhan NS. A review of metabolic potential of human gut microbiome in human nutrition. Arch Microbiol. (2018) 200: 203– 17. 10.1007/s00203-017-1459-x 29188341 · DOI
  30. [45]Kamada N Chen GY Inohara N Nunez G. Control of pathogens and pathobionts by the gut microbiota. Nat Immunol. (2013) 14: 685– 90. 10.1038/ni.2608 23778796 PMC4083503 · DOI · Paper page
  31. [46]Lyte M. Microbial endocrinology in the microbiome-gut-brain axis: how bacterial production and utilization of neurochemicals influence behavior. PLoS Pathogens (2013) 9: e1003726. 10.1371/journal.ppat.1003726 24244158 PMC3828163 · DOI · Paper page
  32. [47]Turnbaugh PJ Hamady M Yatsunenko T Cantarel BL Duncan A Ley RE. A core gut microbiome in obese and lean twins. Nature (2009) 457: 480– 4. 10.1038/nature07540 19043404 PMC2677729 · DOI · Paper page
  33. [48]Haghikia A Jorg S Duscha A Berg J Manzel A Waschbisch A. Dietary fatty acids directly impact central nervous system autoimmunity via the small intestine. Immunity (2015) 43: 817– 29. 10.1016/j.immuni.2015.09.007 26488817 · DOI · Paper page
  34. [49]Koh A De Vadder F Kovatcheva-Datchary P Backhed F. From dietary fiber to host physiology: short-chain fatty acids as key bacterial metabolites. Cell (2016) 165: 1332– 45. 10.1016/j.cell.2016.05.041 27259147 · DOI · Paper page
  35. [50]Zimmerman MA Singh N Martin PM Thangaraju M Ganapathy V Waller JL. Butyrate suppresses colonic inflammation through HDAC1-dependent Fas upregulation and Fas-mediated apoptosis of T cells. Am J Physiol. (2012) 302: G1405– 15. 10.1152/ajpgi.00543.2011 22517765 PMC3378095 · DOI
  36. [52]Singh N. Activation of Gpr109a, receptor for niacin and the commensal metabolite butyrate, suppresses colonic inflammation and carcinogenesis. Immunity (2014) 40: 128– 39. 10.1016/j.immuni.2013.12.007 24412617 PMC4305274 · DOI · Paper page
  37. [53]Fuchikami M Yamamoto S Morinobu S Okada S Yamawaki Y Yamawaki S. The potential use of histone deacetylase inhibitors in the treatment of depression. Prog Neuropsychopharmacol Biol Psychiatry (2016) 64: 320– 4. 10.1016/j.pnpbp.2015.03.010 25818247 · DOI
  38. [54]DeCastro M Nankova BB Shah P Patel P Mally PV Mishra R. Short chain fatty acids regulate tyrosine hydroxylase gene expression through a cAMP-dependent signaling pathway. Mol Brain Res. (2005) 142: 28– 38. 10.1016/j.molbrainres.2005.09.002 16219387 · DOI · Paper page
  39. [55]Wu X Chen PS Dallas S Wilson B Block ML Wang CC. Histone deacetylase inhibitors up-regulate astrocyte GDNF and BDNF gene transcription and protect dopaminergic neurons. Int J Neuropsychopharmacol. (2008) 11: 1123– 34. 10.1017/S1461145708009024 18611290 PMC2579941 · DOI
  40. [56]Kidd SK Schneider JS. Protection of dopaminergic cells from MPP+-mediated toxicity by histone deacetylase inhibition. Brain Res. (2010) 1354: 172– 8. 10.1016/j.brainres.2010.07.041 20654591 PMC2941155 · DOI · Paper page
  41. [57]Wall R Cryan JF Ross RP Fitzgerald GF Dinan TG Stanton C. Bacterial neuroactive compounds produced by psychobiotics. In: Lyte M Cryan JF editors. Microbial Endocrinology: The Microbiota-Gut-Brain Axis in Health and Disease. New York, NY: Springer New York (2014). p. 221– 39. 24997036
  42. [58]Sheydina A Eberhardt RY Rigden DJ Chang Y Li Z Zmasek CC. Structural genomics analysis of uncharacterized protein families overrepresented in human gut bacteria identifies a novel glycoside hydrolase. BMC Bioinformatics (2014) 15: 112. 10.1186/1471-2105-15-112 24742328 PMC4032388 · DOI
  43. [59]Duranti S Milani C Lugli GA Turroni F Mancabelli L Sanchez B. Insights from genomes of representatives of the human gut commensal Bifidobacterium bifidum. Environ Microbiol. (2015) 17: 2515– 31. 10.1111/1462-2920.12743 25523018 · DOI
  44. [60]Liu S Ren F Zhao L Jiang L Hao Y Jin J. Starch and starch hydrolysates are favorable carbon sources for bifidobacteria in the human gut. BMC Microbiol. (2015) 15: 54. 10.1186/s12866-015-0362-3 25887661 PMC4349234 · DOI
  45. [61]Khoroshkin MS Leyn SA Van Sinderen D Rodionov DA. Transcriptional regulation of carbohydrate utilization pathways in the bifidobacterium genus. Front Microbiol. (2016) 7: 120. 10.3389/fmicb.2016.00120 26903998 PMC4746261 · DOI
  46. [62]Ozcan E Sun J Rowley DC Sela DA. A human gut commensal ferments cranberry carbohydrates to produce formate. Appl Environ Microbiol. (2017) [Epub ahead of print]. 10.1128/AEM.01097-17 28667113 PMC5561279 · DOI
  47. [63]Chung WSF Meijerink M Zeuner B Holck J Louis P Meyer AS. Prebiotic potential of pectin and pectic oligosaccharides to promote anti-inflammatory commensal bacteria in the human colon. FEMS Microbiol Ecol. (2017) 93:. 10.1093/femsec/fix127 29029078 · DOI
  48. [64]Tan K Tesar C Wilton R Keigher L Babnigg G Joachimiak A. Novel alpha-glucosidase from human gut microbiome: substrate specificities and their switch. FASEB J (2010) 24: 3939– 49. 10.1096/fj.10-156257 20581222 PMC2996916 · DOI
  49. [65]Mao B Li D Zhao J Liu X Gu Z Chen YQ. In vitro fermentation of fructooligosaccharides with human gut bacteria. Food Funct. (2015) 6: 947– 54. 10.1039/C4FO01082E 25653214 · DOI
  50. [66]Morais S Ben David Y Bensoussan L Duncan SH Koropatkin NM Martens EC. Enzymatic profiling of cellulosomal enzymes from the human gut bacterium, Ruminococcus champanellensis, reveals a fine-tuned system for cohesin-dockerin recognition. Environ Microbiol. (2016) 18: 542– 56. 10.1111/1462-2920.13047 26347002 · DOI
  51. [67]Hehemann JH Kelly AG Pudlo NA Martens EC Boraston AB. Bacteria of the human gut microbiome catabolize red seaweed glycans with carbohydrate-active enzyme updates from extrinsic microbes. Proc Natl Acad Sci USA. (2012) 109: 19786– 91. 10.1073/pnas.1211002109 23150581 PMC3511707 · DOI · Paper page
  52. [68]Zhang M Chekan JR Dodd D Hong PY Radlinski L Revindran V. Xylan utilization in human gut commensal bacteria is orchestrated by unique modular organization of polysaccharide-degrading enzymes. Proc Natl Acad Sci USA. (2014) 111: E3708– 17. 10.1073/pnas.1406156111 25136124 PMC4156774 · DOI
  53. [69]Pudlo NA Urs K Kumar SS German JB Mills DA Martens EC. Symbiotic human gut bacteria with variable metabolic priorities for host mucosal glycans. MBio (2015) 6: e01282– 15. 10.1128/mBio.01282-15 26556271 PMC4659458 · DOI · Paper page
  54. [70]Despres J Forano E Lepercq P Comtet-Marre S Jubelin G Yeoman CJ Unraveling the pectinolytic function of Bacteroides xylanisolvens using a RNA-seq approach and mutagenesis. BMC Genomics (2016) 17: 147 10.1186/s12864-016-2472-1 26920945 PMC4769552 · DOI
  55. [71]Rakoff-Nahoum S Foster KR Comstock LE. The evolution of cooperation within the gut microbiota. Nature (2016) 533: 255– 9. 10.1038/nature17626 27111508 PMC4978124 · DOI · Paper page
  56. [72]Tauzin AS Kwiatkowski KJ Orlovsky NI Smith CJ Creagh AL Haynes CA. Molecular dissection of xyloglucan recognition in a prominent human gut symbiont. MBio (2016) 7: e02134– 15. 10.1128/mBio.02134-15 27118585 PMC4850273 · DOI
  57. [73]Tauzin AS Laville E Xiao Y Nouaille S Le Bourgeois P Heux S. Functional characterization of a gene locus from an uncultured gut Bacteroides conferring xylo-oligosaccharides utilization to Escherichia coli. Mol Microbiol. (2016) 102: 579– 92. 10.1111/mmi.13480 27573446 · DOI
  58. [74]Ali-Ahmad A Garron ML Zamboni V Lenfant N Nurizzo D Henrissat B. Structural insights into a family 39 glycoside hydrolase from the gut symbiont Bacteroides cellulosilyticus WH2. J Struct Biol. (2017) 197: 227– 35. 10.1016/j.jsb.2016.11.004 27890857 · DOI
  59. [75]Costliow ZA Degnan PH. Thiamine acquisition strategies impact metabolism and competition in the gut microbe bacteroides thetaiotaomicron. mSystems (2017) 2: e00116– 17. 10.1128/mSystems.00116-17 28951891 PMC5613172 · DOI
  60. [76]Ndeh D Rogowski A Cartmell A Luis AS Basle A Gray J. Complex pectin metabolism by gut bacteria reveals novel catalytic functions. Nature (2017) 544: 65– 70. 10.1038/nature21725 28329766 PMC5388186 · DOI
  61. [77]Temple MJ Cuskin F Basle A Hickey N Speciale G Williams SJ. A Bacteroidetes locus dedicated to fungal 1,6-beta-glucan degradation: unique substrate conformation drives specificity of the key endo-1,6-beta-glucanase. J Biol Chem. (2017) 292: 10639– 50. 10.1074/jbc.M117.787606 28461332 PMC5481569 · DOI
  62. [78]Praharaj AB Dehury B Mahapatra N Kar SK Behera SK. Molecular dynamics insights into the structure, function, and substrate binding mechanism of mucin desulfating sulfatase of gut microbe Bacteroides fragilis. J Cell Biochem. (2018) 119: 3618– 31. 10.1002/jcb.26569 29232003 · DOI
  63. [79]Sato T Kusuhara S Yokoi W Ito M Miyazaki K. Prebiotic potential of L-sorbose and xylitol in promoting the growth and metabolic activity of specific butyrate-producing bacteria in human fecal culture. FEMS Microbiol Ecol. (2017) 93: fiw227. 10.1093/femsec/fiw227 27810878 · DOI
  64. [80]Plichta DR Juncker AS Bertalan M Rettedal E Gautier L Varela E. Transcriptional interactions suggest niche segregation among microorganisms in the human gut. Nat Microbiol. (2016) 1: 16152. 10.1038/nmicrobiol.2016.152 27564131 · DOI
  65. [81]Van den Abbeele P Belzer C Goossens M Kleerebezem M De Vos WM Thas O. Butyrate-producing Clostridium cluster XIVa species specifically colonize mucins in an in vitro gut model. ISME J (2013) 7: 949– 61. 10.1038/ismej.2012.158 23235287 PMC3635240 · DOI
  66. [82]Grondin JM Duan D Kirlin AC Abe KT Chitayat S Spencer HL. Diverse modes of galacto-specific carbohydrate recognition by a family 31 glycoside hydrolase from Clostridium perfringens. PLoS ONE (2017) 12: e0171606. 10.1371/journal.pone.0171606 28158290 PMC5291390 · DOI
  67. [83]Caminero A Herran AR Nistal E Perez-Andres J Vaquero L Vivas S. Diversity of the cultivable human gut microbiome involved in gluten metabolism: isolation of microorganisms with potential interest for coeliac disease. FEMS Microbiol Ecol. (2014) 88: 309– 19. 10.1111/1574-6941.12295 24499426 · DOI
  68. [84]Kaur H Das C Mande SS. In silico analysis of putrefaction pathways in bacteria and its implication in colorectal cancer. Front Microbiol. (2017) 8: 2166. 10.3389/fmicb.2017.02166 29163445 PMC5682003 · DOI
  69. [85]McLuskey K Grewal JS Das D Godzik A Lesley SA Deacon AM. Crystal structure and activity studies of the C11 cysteine peptidase from parabacteroides merdae in the human gut microbiome. J Biol Chem. (2016) 291: 9482– 91. 10.1074/jbc.M115.706143 26940874 PMC4850288 · DOI
  70. [86]Sanctuary MR Kain JN Angkustsiri K German JB. Dietary considerations in autism spectrum disorders: the potential role of protein digestion and microbial putrefaction in the gut-brain axis. Front Nutr. (2018) 5: 40. 10.3389/fnut.2018.00040 29868601 PMC5968124 · DOI
  71. [87]Wolfe AR Arroyo C Tedders SH Li Y Dai Q Zhang J. Dietary protein and protein-rich food in relation to severely depressed mood: A 10 year follow-up of a national cohort. Prog Neuropsychopharmacol Biol Psychiatry (2011) 35: 232– 8. 10.1016/j.pnpbp.2010.11.011 21108982 · DOI
  72. [88]Pooyan S Rahimi MH Mollahosseini M Khorrami-Nezhad L Nasir Y Maghbooli Z. A high-protein/low-fat diet may interact with vitamin D-binding protein gene variants to moderate the risk of depression in apparently healthy adults. Lifestyle Genom. (2018) 11: 64– 72. 10.1159/000492497 30184533 · DOI
  73. [90]Said HM. Intestinal absorption of water-soluble vitamins in health and disease. Biochem J. (2011) 437: 357– 72. 10.1042/BJ20110326 21749321 PMC4049159 · DOI
  74. [91]Kwak MJ Kwon SK Yoon JK Song JY Seo JG Chung MJ. Evolutionary architecture of the infant-adapted group of Bifidobacterium species associated with the probiotic function. Syst Appl Microbiol. (2016) 39: 429– 39. 10.1016/j.syapm.2016.07.004 27524178 · DOI
  75. [92]Gilbody S Lightfoot T Sheldon T. Is low folate a risk factor for depression? A meta-analysis and exploration of heterogeneity. J Epidemiol Community Health (2007) 61: 631– 7. 10.1136/jech.2006.050385 17568057 PMC2465760 · DOI
  76. [93]Beydoun MA Shroff MR Beydoun HA Zonderman AB. Serum folate, vitamin B-12, and homocysteine and their association with depressive symptoms among U.S. adults. Psychosom Med. (2010) 72: 862– 73. 10.1097/PSY.0b013e3181f61863 20841559 PMC2978275 · DOI
  77. [94]Kumar CK Moyer MP Dudeja PK Said HM. A protein-tyrosine kinase-regulated, pH-dependent, carrier-mediated uptake system for folate in human normal colonic epithelial cell line NCM460. J Biol Chem. (1997) 272: 6226– 31. 10.1074/jbc.272.10.6226 9045638 · DOI
  78. [95]Dudeja PK Torania SA Said HM. Evidence for the existence of a carrier-mediated folate uptake mechanism in human colonic luminal membranes. Am J Physiol. (1997) 272(6 Pt 1): G1408– 15. 9227476
  79. [96]Zhang G Ding H Chen H Ye X Li H Lin X. Thiamine nutritional status and depressive symptoms are inversely associated among older Chinese adults. J Nutr. (2013) 143: 53– 8. 10.3945/jn.112.167007 23173173 PMC3521461 · DOI
  80. [97]Said HM. Recent advances in carrier-mediated intestinal absorption of water-soluble vitamins. Annu Rev Physiol. (2004) 66: 419– 46. 10.1146/annurev.physiol.66.032102.144611 14977409 · DOI
  81. [98]Paerl RW Bertrand EM Rowland E Schatt P Mehiri M Niehaus TD Carboxythiazole is a key microbial nutrient currency and critical component of thiamin biosynthesis. Sci Rep. (2018) 8: 5940 10.1038/s41598-018-24321-2 29654239 PMC5899164 · DOI
  82. [99]Pinto-Sanchez MI Ford AC Avila CA Verdu EF Collins SM Morgan D. Anxiety and depression increase in a stepwise manner in parallel with multiple FGIDs and symptom severity and frequency. Am J Gastroenterol. (2015) 110: 1038. 10.1038/ajg.2015.128 25964226 · DOI
  83. [101]Vivinus-Nebot M Dainese R Anty R Saint-Paul MC Nano JL Gonthier N. Combination of allergic factors can worsen diarrheic irritable bowel syndrome: role of barrier defects and mast cells. Am J Gastroenterol. (2012) 107: 75– 81. 10.1038/ajg.2011.315 21931380 · DOI
  84. [103]Ye D Ma I Ma TY. Molecular mechanism of tumor necrosis factor-α modulation of intestinal epithelial tight junction barrier. Am J Physiol. (2006) 290: G496– 504. 10.1152/ajpgi.00318.2005 16474009 · DOI
  85. [104]Bischoff SC Barbara G Buurman W Ockhuizen T Schulzke JD Serino M. Intestinal permeability–a new target for disease prevention and therapy. BMC Gastroenterol. (2014) 14: 189. 10.1186/s12876-014-0189-7 25407511 PMC4253991 · DOI · Paper page
  86. [105]Wei EP Ellison MD Kontos HA Povlishock JT. O2 radicals in arachidonate-induced increased blood-brain barrier permeability to proteins. Am J Physiol. (1986) 251(4 Pt 2): H693– 99. 3094386
  87. [106]Easton AS Fraser PA. Arachidonic acid increases cerebral microvascular permeability by free radicals in single pial microvessels of the anaesthetized rat. J Physiol. (1998) 507(Pt 2): 541– 7. 9518711 PMC2230805
  88. [107]Marchiando AM Shen L Graham WV Edelblum KL Duckworth CA Guan Y. The epithelial barrier is maintained by in vivo tight junction expansion during pathologic intestinal epithelial shedding. Gastroenterology (2011) 140: 1208– 18.e1– 2. 10.1053/j.gastro.2011.01.004 21237166 PMC3066304 · DOI
  89. [109]Miura H Ozaki N Sawada M Isobe K Ohta T Nagatsu T. A link between stress and depression: shifts in the balance between the kynurenine and serotonin pathways of tryptophan metabolism and the etiology and pathophysiology of depression. Stress (2008) 11: 198– 209. 10.1080/10253890701754068 18465467 · DOI · Paper page
  90. [110]Schwarcz R Whetsell WO Jr Mangano RM. Quinolinic acid: an endogenous metabolite that produces axon-sparing lesions in rat brain. Science (1983) 219: 316– 8. 10.1126/science.6849138 6849138 · DOI
  91. [111]Guillemin GJ. Quinolinic acid, the inescapable neurotoxin. FEBS J (2012) 279: 1356– 65. 10.1111/j.1742-4658.2012.08485.x 22248144 · DOI · Paper page
  92. [112]Williams BB Van Benschoten Andrew H Cimermancic P Donia MS Zimmermann M Taketani M. Discovery and characterization of gut microbiota decarboxylases that can produce the neurotransmitter tryptamine. Cell Host Microbe (2014) 16: 495– 503. 10.1016/j.chom.2014.09.001 25263219 PMC4260654 · DOI · Paper page
  93. [113]Yunes RA Poluektova EU Dyachkova MS Klimina KM Kovtun AS Averina OV. GABA production and structure of gadB/gadC genes in Lactobacillus and Bifidobacterium strains from human microbiota. Anaerobe (2016) 42: 197– 204. 10.1016/j.anaerobe.2016.10.011 27794467 · DOI
  94. [114]O'Mahony SM Clarke G Borre YE Dinan TG Cryan JF. Serotonin, tryptophan metabolism and the brain-gut-microbiome axis. Behav Brain Res. (2015) 277: 32– 48. 10.1016/j.bbr.2014.07.027 25078296 · DOI · Paper page
  95. [116]Bercik P Park AJ Sinclair D Khoshdel A Lu J Huang X. The anxiolytic effect of Bifidobacterium longum NCC3001 involves vagal pathways for gut–brain communication. Neurogastroenterol Motil. (2011) 23: 1132– 9. 10.1111/j.1365-2982.2011.01796.x 21988661 PMC3413724 · DOI · Paper page
  96. [117]Bravo JA Forsythe P Chew MV Escaravage E Savignac HM Dinan TG. 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: 16050– 5. 10.1073/pnas.1102999108 21876150 PMC3179073 · DOI · Paper page
  97. [119]Tillisch K Mayer E Gupta A Gill Z Brazeilles R Le Neve B. Brain structure and response to emotional stimuli as related to gut microbial profiles in healthy women. Psychosom Med. (2017) 79: 905– 13. 10.1097/PSY.0000000000000493 28661940 PMC6089374 · DOI · Paper page
  98. [120]Tillisch K Labus J Kilpatrick L Jiang Z Stains J Ebrat B. Consumption of fermented milk product with probiotic modulates brain activity. Gastroenterology (2013) 144: 1394– 401. 1401.e1391–4. 10.1053/j.gastro.2013.02.043 23474283 PMC3839572 · DOI · Paper page
  99. [121]Pinto-Sanchez MI Hall GB Ghajar K Nardelli A Bolino C Lau JT. Probiotic Bifidobacterium longum NCC3001 reduces depression scores and alters brain activity: a pilot study in patients with irritable bowel syndrome. Gastroenterology (2017) 153: 448– 59.e8. 10.1053/j.gastro.2017.05.003 28483500 · DOI · Paper page
  100. [123]Lin PY Huang SY Su KP. A meta-analytic review of polyunsaturated fatty acid compositions in patients with depression. Biol Psychiatry (2010) 68: 140– 7. 10.1016/j.biopsych.2010.03.018 20452573 · DOI · Paper page
  101. [124]Liu JJ Green P John Mann J Rapoport SI Sublette ME. Pathways of polyunsaturated fatty acid utilization: implications for brain function in neuropsychiatric health and disease. Brain Res. (2015) 1597: 220– 46. 10.1016/j.brainres.2014.11.059 25498862 PMC4339314 · DOI
  102. [125]Kankaanpää PE Salminen SJ Isolauri E Lee YK. The influence of polyunsaturated fatty acids on probiotic growth and adhesion. FEMS Microbiol Lett. (2001) 194: 149– 53. 10.1111/j.1574-6968.2001.tb09460.x 11164299 · DOI
  103. [126]Bomba A Nemcova R Gancarcikova S Herich R Guba P Mudronova D. Improvement of the probiotic effect of micro-organisms by their combination with maltodextrins, fructo-oligosaccharides and polyunsaturated fatty acids. Br J Nutr. (2002) 88(Suppl. 1): S95– 9. 10.1079/BJN2002634 12215187 · DOI
  104. [127]Ohtsuka Y Yamashiro Y Shimizu T Nagata S Igarashi J Shinohara K. Reducing cell membrane n-6 fatty acids attenuate mucosal damage in food-sensitive enteropathy in mice. Pediatr Res. (1997) 42: 835– 9. 10.1203/00006450-199712000-00019 9396566 · DOI
  105. [128]Druart C Dewulf EM Cani PD Neyrinck AM Thissen JP Delzenne NM. Gut microbial metabolites of polyunsaturated fatty acids correlate with specific fecal bacteria and serum markers of metabolic syndrome in obese women. Lipids (2014) 49: 397– 402. 10.1007/s11745-014-3881-z 24473752 · DOI
  106. [129]Raimondi S Amaretti A Leonardi A Quartieri A Gozzoli C Rossi M. Conjugated linoleic acid production by bifidobacteria: screening, kinetic, and composition. Biomed Res Int. (2016) 2016: 8654317. 10.1155/2016/8654317 27429985 PMC4939342 · DOI
  107. [130]Kim W Kim H Lee S Current state and applications of microbial genome-scale metabolic models. Curr Opin Syst Biol. (2017) 2: 10– 8. 10.1016/j.coisb.2017.03.001 · DOI
  108. [131]Bordbar A Monk JM King ZA Palsson BO. Constraint-based models predict metabolic and associated cellular functions. Nat Rev Genet. (2014) 15: 107– 20. 10.1038/nrg3643 24430943 · DOI
  109. [132]McCloskey D Palsson BO Feist AM. Basic and applied uses of genome-scale metabolic network reconstructions of Escherichia coli. Mol Syst Biol. (2013) 9: 661. 10.1038/msb.2013.18 23632383 PMC3658273 · DOI
  110. [134]Korem T Zeevi D Suez J Weinberger A Avnit-Sagi T Pompan-Lotan M. Growth dynamics of gut microbiota in health and disease inferred from single metagenomic samples. Science (2015) 349: 1101– 6. 10.1126/science.aac4812 26229116 PMC5087275 · DOI
  111. [135]Maier L Pruteanu M Kuhn M Zeller G Telzerow A Anderson EE. Extensive impact of non-antibiotic drugs on human gut bacteria. Nature (2018) 555: 623– 8. 10.1038/nature25979 29555994 PMC6108420 · DOI · Paper page
  112. [136]Cueva C Gil-Sanchez I Ayuda-Duran B Gonzalez-Manzano S Gonzalez-Paramas AM Santos-Buelga C. An integrated view of the effects of wine polyphenols and their relevant metabolites on gut and host health. Molecules (2017) 22: E99. 10.3390/molecules22010099 28067835 PMC6155716 · DOI
  113. [138]Zhernakova A Kurilshikov A Bonder MJ Tigchelaar EF Schirmer M Vatanen T. Population-based metagenomics analysis reveals markers for gut microbiome composition and diversity. Science (2016) 352: 565– 9. 10.1126/science.aad3369 27126040 PMC5240844 · DOI · Paper page
  114. [139]Turner TN Sharma K Oh EC Liu YP Collins RL Sosa MX. Loss of δ-catenin function in severe autism. Nature (2015) 520: 51– 6. 10.1038/nature14186 25807484 PMC4383723 · DOI
  115. [140]Pullabhatla V Roberts AL Lewis MJ Mauro D Morris DL Odhams CA. De novo mutations implicate novel genes in systemic lupus erythematosus. Hum Mol Genet. (2018) 27: 421– 9. 10.1093/hmg/ddx407 29177435 PMC5886157 · DOI
  116. [141]Shankar J. Insights into study design and statistical analyses in translational microbiome studies. Ann Transl Med. (2017) 5: 249. 10.21037/atm.2017.01.13 28706917 PMC5497086 · DOI
  117. [144]Guenther PM Casavale KO Reedy J Kirkpatrick SI Hiza HA Kuczynski KJ. Update of the healthy eating index: HEI-2010. J Acad Nutr Diet (2013) 113: 569– 80. 10.1016/j.jand.2012.12.016 23415502 PMC3810369 · DOI
  118. [146]Cenit MC Sanz Y Codoner-Franch P. Influence of gut microbiota on neuropsychiatric disorders. World J Gastroenterol. (2017) 23: 5486– 98. 10.3748/wjg.v23.i30.5486 28852308 PMC5558112 · DOI
  119. [147]Vuong HE Hsiao EY. Emerging roles for the gut microbiome in autism spectrum disorder. Biol Psychiatry (2017) 81: 411– 23. 10.1016/j.biopsych.2016.08.024 27773355 PMC5285286 · DOI · Paper page
  120. [148]Nguyen TT Kosciolek T Eyler LT Knight R Jeste DV. Overview and systematic review of studies of microbiome in schizophrenia and bipolar disorder. J Psychiatr Res. (2018) 99: 50– 61. 10.1016/j.jpsychires.2018.01.013 29407287 PMC5849533 · DOI
  121. [150]Nani BD Lima PO Marcondes FK Groppo FC Rolim GS Moraes AB. Changes in salivary microbiota increase volatile sulfur compounds production in healthy male subjects with academic-related chronic stress. PLoS ONE (2017) 12: e0173686. 10.1371/journal.pone.0173686 28319129 PMC5358872 · DOI
  122. [151]Lamb AL Hess DE Edenborn S Ubinger E Carrillo AE Appasamy PM. Elevated salivary IgA, decreased anxiety, and an altered oral microbiota are associated with active participation on an undergraduate athletic team. Physiol Behav. (2017) 169: 169– 77. 10.1016/j.physbeh.2016.12.004 27932242 · DOI
  123. [152]Qiao Y Wu M Feng Y Zhou Z Chen L Chen F. Alterations of oral microbiota distinguish children with autism spectrum disorders from healthy controls. Sci Rep. (2018) 8: 1597. 10.1038/s41598-018-19982-y 29371629 PMC5785483 · DOI
  124. [153]Gonzalez A Hyde E Sangwan N Gilbert JA Viirre E Knight R. Migraines are correlated with higher levels of Nitrate-, Nitrite-, and Nitric Oxide-reducing oral microbes in the american gut project cohort. mSystems (2016) 1: 1– 4. 10.1128/mSystems.00105-16 27822557 PMC5080405 · DOI

Cited by

Sorted by citations

Authors
Cheung, S. G., Goldenthal, A. R., Uhlemann, A.-C., Mann, J. J., Miller, J. M., & Sublette, M. E.
Affiliations
  • Columbia University (US)
  • New York State Psychiatric Institute (US)
  • Columbia University Irving Medical Center (US)
Corresponding author
Sublette, M. Elizabeth
Venue
Frontiers in Psychiatry
Published
2019-02-11
Volume
10
Pages
34-34
ISSN
1664-0640 (ISSN-L)
OpenAlex
W2912729292
Cited by
597
References
25
Citations by year
2026: 44 · 2025: 75 · 2024: 93 · 2023: 90 · 2022: 96 · 2021: 95 · 2020: 77 · 2019: 25 · 2017: 1
FWCI
6.47
Type
journal article
Language
en
Open access
Locations
  • Frontiers in Psychiatry (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
Funders
  • Nathaniel Wharton Fund
  • National Institute of Mental Health (P50MH090964)
  • National Institute of Allergy and Infectious Diseases (R01AI116939)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
  • Life Sciences › Neuroscience › Biological Psychiatry › Tryptophan and brain disorders
  • Health Sciences › Medicine › Gastroenterology › Gastrointestinal motility and disorders
Keywords
gut microbiota, major depressive disorder, gut-brain axis, bacterial taxa, Firmicutes, Lachnospiraceae, bacterial metabolism, etiology of depression, fecal microbiota, mental illness, Clostridium, Bifidobacterium, Faecalibacterium, Prevotella, Ruminococcus, Streptococcus, Blautia

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review