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2000
Volume 21, Issue 1
  • ISSN: 2772-4328
  • E-ISSN: 2772-4336

Abstract

Depression is a prevalent mood disorder with significant public health implications. Despite extensive research, its precise causes remain inadequately understood. Recently, interest has surged in the role of the gut microbiome and its metabolites in the pathophysiology of depression. This review aims to provide a comprehensive overview of the relationship between gut microbiota, its metabolites, and depression while exploring potential mechanisms influencing the efficacy of antidepressant medications. A narrative review methodology was employed, synthesizing recent studies utilizing a multi-omics approach. We examined alterations in gut microbiome composition and metabolite production in individuals diagnosed with depression, discussing the technical tools and methods commonly applied in this research area. The findings indicate that individuals with depression show significant alterations in gut microbiome composition, notably an imbalance in , , and . Changes in metabolite production, including short-chain fatty acids, tryptophan, and bile acids, were also observed. Moreover, the review highlights that antidepressant medications may exert their therapeutic effects by modulating gut microbiota and its metabolites. This review emphasizes the intricate interplay between gut microbiota, its metabolites, and depression, revealing critical insights into the mechanisms underlying antidepressant efficacy. We recommend that future research focus on elucidating these interactions to develop innovative therapeutic strategies, potentially transforming the management of depression through microbiota-targeted approaches.

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2025-01-31
2026-03-09
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References

  1. DetkaJ. GłombikK. Insights into a possible role of glucagon-like peptide-1 receptor agonists in the treatment of depression.Pharmacol. Rep.20217341020103210.1007/s43440‑021‑00274‑8 34003475
    [Google Scholar]
  2. ShaoJ. WeiY. WeiX. A comprehensive review on bioavailability, safety and antidepressant potential of natural bioactive components from tea.Food Res. Int.202215811154010.1016/j.foodres.2022.111540 35840236
    [Google Scholar]
  3. HussainM.S. AltamimiA.S.A. AfzalM. Kaempferol: Paving the path for advanced treatments in aging-related diseases.Exp. Gerontol.202418811238910.1016/j.exger.2024.112389 38432575
    [Google Scholar]
  4. ZhaoZ.X. FuJ. MaS.R. Gut-brain axis metabolic pathway regulates antidepressant efficacy of albiflorin.Theranostics20188215945595910.7150/thno.28068 30613273
    [Google Scholar]
  5. FengY. GaoX. MengM. XueH. QinX. Multi-omics reveals the mechanisms of antidepressant-like effects of the low polarity fraction of bupleuri radix.J. Ethnopharmacol.202025611280610.1016/j.jep.2020.112806 32234596
    [Google Scholar]
  6. UppalJ. ChawlaA. RehmanR. Chapter 11 - Novel drug delivery systems in treating epilepsy: An update.In: Novel Drug Delivery Systems in the management of CNS Disorders.London, UKAcademic Press202516718310.1016/B978‑0‑443‑13474‑6.00019‑6
    [Google Scholar]
  7. GaoFY ChenXF CuiLX Gut microbiota mediates the pharmacokinetics of zhi-zi-chi decoction for the personalized treatment of depression.J Ethnopharmacol2023302Pt B11593410.1016/j.jep.2022.11593436414216
    [Google Scholar]
  8. HuangHS LinYE PanyodS Anti-depressive-like and cognitive impairment alleviation effects of gastrodia elata blume water extract is related to gut microbiome remodeling in apoe−/−mice exposed to unpredictable chronic mild stress.J Ethnopharmacol2023302Pt B11587210.1016/j.jep.2022.11587236343797
    [Google Scholar]
  9. ChengD. ChangH. MaS. Tiansi liquid modulates gut microbiota composition and tryptophan–kynurenine metabolism in rats with hydrocortisone-induced depression.Molecules20182311283210.3390/molecules23112832 30384480
    [Google Scholar]
  10. LvM. WangY. QuP. A combination of cecum microbiome and metabolome in cums depressed rats reveals the antidepressant mechanism of traditional chinese medicines: A case study of xiaoyaosan.J. Ethnopharmacol.202127611416710.1016/j.jep.2021.114167 33984458
    [Google Scholar]
  11. HussainM.S. GuptaG. SamuelV.P. Immunopathology of herpes simplex virus‐associated neuroinflammation: Unveiling the mysteries.Rev. Med. Virol.2024341e249110.1002/rmv.2491 37985599
    [Google Scholar]
  12. ParkerA. FonsecaS. CardingS.R. Gut microbes and metabolites as modulators of blood-brain barrier integrity and brain health.Gut Microbes202011213515710.1080/19490976.2019.1638722 31368397
    [Google Scholar]
  13. GilbertJ.A. BlaserM.J. CaporasoJ.G. JanssonJ.K. LynchS.V. KnightR. Current understanding of the human microbiome.Nat. Med.201824439240010.1038/nm.4517 29634682
    [Google Scholar]
  14. LozuponeC.A. StombaughJ.I. GordonJ.I. JanssonJ.K. KnightR. Diversity, stability and resilience of the human gut microbiota.Nature2012489741522023010.1038/nature11550 22972295
    [Google Scholar]
  15. CandelaM. PernaF. CarnevaliP. Interaction of probiotic lactobacillus and bifidobacterium strains with human intestinal epithelial cells: Adhesion properties, competition against enteropathogens and modulation of il-8 production.Int. J. Food Microbiol.2008125328629210.1016/j.ijfoodmicro.2008.04.012 18524406
    [Google Scholar]
  16. FukudaS. TohH. HaseK. Bifidobacteria can protect from enteropathogenic infection through production of acetate.Nature2011469733154354710.1038/nature09646 21270894
    [Google Scholar]
  17. SonnenburgJ.L. XuJ. LeipD.D. Glycan foraging in vivo by an intestine-adapted bacterial symbiont.Science200530757171955195910.1126/science.1109051 15790854
    [Google Scholar]
  18. YatsunenkoT. ReyF.E. ManaryM.J. Human gut microbiome viewed across age and geography.Nature2012486740222222710.1038/nature11053 22699611
    [Google Scholar]
  19. YanT. NianT. LiaoZ. Antidepressant effects of a polysaccharide from okra (abelmoschus esculentus (l) moench) by anti-inflammation and rebalancing the gut microbiota.Int. J. Biol. Macromol.202014442744010.1016/j.ijbiomac.2019.12.138 31862370
    [Google Scholar]
  20. GuptaM. HussainM.S. ThapaR. BhatA.A. KumarN. Nurturing hope: Uncovering the potential of herbal remedies against amyotrophic lateral sclerosis.PharmaNutrition20242910040610.1016/j.phanu.2024.100406
    [Google Scholar]
  21. KumarR. SinghA. KapoorB. Chapter 8 - Nose to brain drug delivery through advanced drug delivery systems.In: Novel Drug Delivery Systems in the management of CNS Disorders.London, UKAcademic Press202510511910.1016/B978‑0‑443‑13474‑6.00001‑9
    [Google Scholar]
  22. TianP. BastiaanssenT.F. SongL. Unraveling the microbial mechanisms underlying the psychobiotic potential of a Bifidobacterium breve strain.Mol. Nutr. Food Res.2021658e200070410.1002/mnfr.202000704
    [Google Scholar]
  23. JianguoL. XueyangJ. CuiW. ChangxinW. XuemeiQ. Altered gut metabolome contributes to depression-like behaviors in rats exposed to chronic unpredictable mild stress.Transl. Psychiatry2019914010.1038/s41398‑019‑0391‑z 30696813
    [Google Scholar]
  24. LiJ. HouL. WangC. JiaX. QinX. WuC. Short term intrarectal administration of sodium propionate induces antidepressant-like effects in rats exposed to chronic unpredictable mild stress.Front. Psychiatry2018945410.3389/fpsyt.2018.00454 30319461
    [Google Scholar]
  25. HussainM.S. GuptaG. GoyalA. From nature to therapy: Luteolin’s potential as an immune system modulator in inflammatory disorders.J. Biochem. Mol. Toxicol.20233711e2348210.1002/jbt.23482 37530602
    [Google Scholar]
  26. GothwalS.K. GoyalK. GargA.S. A rare case of brucellosis with multivalvular endocarditis and complete heart block.Curr. Cardiol. Rev.2024206e03072423155910.2174/011573403X290326240703100925 38963101
    [Google Scholar]
  27. CleggD.J. HeadleyS.A. GermainM.J. Impact of dietary potassium restrictions in ckd on clinical outcomes: Benefits of a plant-based diet.Kidney Med.20202447648710.1016/j.xkme.2020.04.007 32775988
    [Google Scholar]
  28. ApetriiM. TimofteD. VoroneanuL. CovicA. Nutrition in chronic kidney disease—the role of proteins and specific diets.Nutrients202113395610.3390/nu13030956 33809492
    [Google Scholar]
  29. PantaziA.C. KassimM.A.K. NoriW. Clinical perspectives of gut microbiota in patients with chronic kidney disease and end-stage kidney disease: Where do we stand?Biomedicines2023119248010.3390/biomedicines11092480 37760920
    [Google Scholar]
  30. BahlG. PathakY. HussainM.S. GuptaY. SaraswatN. Navigating sheehan syndrome’s silent onset: A case report.J. Clin. Transl. Endocrinol. Case Rep.20243210016810.1016/j.jecr.2024.100168
    [Google Scholar]
  31. AngariaN. SainiS. HussainM.S. Natural polymer-based hydrogels: Versatile biomaterials for biomedical applications.Int J Poly Mat Poly Biomat20241719
    [Google Scholar]
  32. VandeputteD. JoossensM. Effects of low and high fodmap diets on human gastrointestinal microbiota composition in adults with intestinal diseases: A systematic review.Microorganisms2020811163810.3390/microorganisms8111638 33114017
    [Google Scholar]
  33. Moran-RamosS. Lopez-ContrerasB.E. Villarruel-VazquezR. Environmental and intrinsic factors shaping gut microbiota composition and diversity and its relation to metabolic health in children and early adolescents: A population-based study.Gut Microbes202011490091710.1080/19490976.2020.1712985 31973685
    [Google Scholar]
  34. WippermanM.F. BhattaraiS.K. VorkasC.K. Gastrointestinal microbiota composition predicts peripheral inflammatory state during treatment of human tuberculosis.Nat. Commun.2021121114110.1038/s41467‑021‑21475‑y 33602926
    [Google Scholar]
  35. von MartelsJ.Z.H. SadabadM. BourgonjeA.R. The role of gut microbiota in health and disease: in vitro modeling of host-microbe interactions at the aerobe-anaerobe interphase of the human gut.Anaerobe20174431210.1016/j.anaerobe.2017.01.001 28062270
    [Google Scholar]
  36. LepageP. The human gut microbiota: Interactions with the host and dysfunctions.Rev. Mal. Respir.201734101085109010.1016/j.rmr.2016.11.003 28506730
    [Google Scholar]
  37. LiJ. LiD. ChenY. ChenW. XuJ. GaoL. Gut microbiota and aging: Traditional chinese medicine and modern medicine.Clin. Interv. Aging20231896398610.2147/CIA.S414714 37351381
    [Google Scholar]
  38. PanB. HanX. YuK. SunH. MuR. LianC.A. Geographical distance, host evolutionary history and diet drive gut microbiome diversity of fish across the yellow river.Mol. Ecol.20233251183119610.1111/mec.16812 36478318
    [Google Scholar]
  39. GeY. JingZ. DiaoQ. HeJ.Z. LiuY.J. Host species and geography differentiate honeybee gut bacterial communities by changing the relative contribution of community assembly processes.MBio2021123e00751e2110.1128/mBio.00751‑21 34061602
    [Google Scholar]
  40. LilliG. SirotC. CampbellH. BrophyD. GrahamC. GeorgeI. Geographic origin and host’s phylogeny are predictors of the gut mucosal microbiota diversity and composition in Mediterranean scorpionfishes (Scorpaena spp.).Front. Mar. Sci.202310128670610.3389/fmars.2023.1286706
    [Google Scholar]
  41. YoungblutN.D. ReischerG.H. WaltersW. Host diet and evolutionary history explain different aspects of gut microbiome diversity among vertebrate clades.Nat. Commun.2019101220010.1038/s41467‑019‑10191‑3 31097702
    [Google Scholar]
  42. ShankregowdaA.M. SiriyappagouderP. KuizengaM. Host habitat rather than evolutionary history explains gut microbiome diversity in sympatric stickleback species.Front. Microbiol.202314123235810.3389/fmicb.2023.1232358 37901806
    [Google Scholar]
  43. HussainM.S. SrivastavaN. SinghG. KumarR. Long-term use of metformin and vitamin b12 deficiency in diabetes.Curr. Drug Saf.20241910.2174/0115748863308106240816044733 39206482
    [Google Scholar]
  44. ZhangY. ChenH. LuM. Habitual diet pattern associations with gut microbiome diversity and composition: Results from a chinese adult cohort.Nutrients20221413263910.3390/nu14132639 35807820
    [Google Scholar]
  45. MiaoZ. DuW. XiaoC. Gut microbiota signatures of long-term and short-term plant-based dietary pattern and cardiometabolic health: A prospective cohort study.BMC Med.202220120410.1186/s12916‑022‑02402‑4 35701845
    [Google Scholar]
  46. ChenZ RadjabzadehD IkramA UitterlindenA KraaijR VoortmanT Dietary patterns and gut microbiome composition in a large population-based cohort.Curr Dev Nutr20204nzaa046_01410.1093/cdn/nzaa046_014
    [Google Scholar]
  47. YuD. NguyenS.M. YangY. Long-term diet quality is associated with gut microbiome diversity and composition among urban chinese adults.Am. J. Clin. Nutr.2021113368469410.1093/ajcn/nqaa350 33471054
    [Google Scholar]
  48. HussainM.S. SharmaA. KumarR. Prebiotics and probiotics: A focused review of applications in respiratory disorders.Carpath J Food Sci Tech202315118320710.34302/crpjfst/2023.15.1.14
    [Google Scholar]
  49. Zuniga-ChavesI. EggersS. KatesA.E. SafdarN. SuenG. MaleckiK.M.C. Neighborhood socioeconomic status is associated with low diversity gut microbiomes and multi-drug resistant microorganism colonization.NPJ Biofilms Microbiomes2023916110.1038/s41522‑023‑00430‑3 37640705
    [Google Scholar]
  50. LewisC.R. BonhamK.S. McCannS.H. Family ses is associated with the gut microbiome in infants and children.Microorganisms202198160810.3390/microorganisms9081608 34442687
    [Google Scholar]
  51. LephartE.D. NaftolinF. Estrogen action and gut microbiome metabolism in dermal health.Dermatol. Ther. (Heidelb.)20221271535155010.1007/s13555‑022‑00759‑1 35752663
    [Google Scholar]
  52. GschwendtnerS. KangH. ThieringE. Early life determinants induce sustainable changes in the gut microbiome of six-year-old children.Sci. Rep.2019911267510.1038/s41598‑019‑49160‑7 31481742
    [Google Scholar]
  53. SarkarA. YooJ.Y. VO DutraS. MorganK.H. GroerM. The association between early-life gut microbiota and long-term health and diseases.J. Clin. Med.202110345910.3390/jcm10030459 33504109
    [Google Scholar]
  54. WebsterSE VosD RothsteinTL HolodickNE Modulation of microbiome diversity and cytokine expression is influenced in a sex-dependent manner during aging.Front Microbiomes2022199446410.3389/frmbi.2022.99446437426084
    [Google Scholar]
  55. DanielH. Diet and gut microbiome and the “chicken or egg” problem.Front. Nutr.2022882863010.3389/fnut.2021.828630 35178420
    [Google Scholar]
  56. ZhaoG. MaT. TangW. Gut microbiome of chinese forest musk deer examined across gender and age.BioMed Res. Int.2019201911010.1155/2019/9291216 31886268
    [Google Scholar]
  57. KimM HudaMN QueE GertzE BennettB Sexual dimorphism of atherosclerosis by gut microbiome in a hyperlipidemic diversity outbred f1 mouse population.Curr Dev Nutr20204nzaa062_02610.1093/cdn/nzaa062_026
    [Google Scholar]
  58. SuQ. TunH.M. LiuQ. Gut microbiome signatures reflect different subtypes of irritable bowel syndrome.Gut Microbes2023151215769710.1080/19490976.2022.2157697 36573834
    [Google Scholar]
  59. SilvaY.P. BernardiA. FrozzaR.L. The role of short-chain fatty acids from gut microbiota in gut-brain communication.Front. Endocrinol. (Lausanne)2020112510.3389/fendo.2020.00025 32082260
    [Google Scholar]
  60. DalileB. Van OudenhoveL. VervlietB. VerbekeK. The role of short-chain fatty acids in microbiota–gut–brain communication.Nat. Rev. Gastroenterol. Hepatol.201916846147810.1038/s41575‑019‑0157‑3 31123355
    [Google Scholar]
  61. AhmedH. LeyrolleQ. KoistinenV. Microbiota-derived metabolites as drivers of gut–brain communication.Gut Microbes2022141210287810.1080/19490976.2022.2102878 35903003
    [Google Scholar]
  62. SwerN.M. VenkideshB.S. MuraliT.S. MumbrekarK.D. Gut microbiota-derived metabolites and their importance in neurological disorders.Mol. Biol. Rep.20235021663167510.1007/s11033‑022‑08038‑0 36399245
    [Google Scholar]
  63. MirzaeiR. BouzariB. Hosseini-FardS.R. Role of microbiota-derived short-chain fatty acids in nervous system disorders.Biomed. Pharmacother.202113911166110.1016/j.biopha.2021.111661 34243604
    [Google Scholar]
  64. MaQ XingC LongW WangHY LiuQ. WangRF. Impact of microbiota on central nervous system and neurological diseases: The gut-brain axis.201916114
    [Google Scholar]
  65. XiaoQ. ShuR. WuC. Crocin-i alleviates the depression-like behaviors probably via modulating “microbiota-gut-brain” axis in mice exposed to chronic restraint stress.J. Affect. Disord.202027647648610.1016/j.jad.2020.07.041 32871679
    [Google Scholar]
  66. SonaliS. RayB. A TousifH. Mechanistic insights into the link between gut dysbiosis and major depression: An extensive review.Cells2022118136210.3390/cells11081362 35456041
    [Google Scholar]
  67. LinP. DingB. FengC. Prevotella and klebsiella proportions in fecal microbial communities are potential characteristic parameters for patients with major depressive disorder.J. Affect. Disord.201720730030410.1016/j.jad.2016.09.051 27741466
    [Google Scholar]
  68. LinS. LiQ. JiangS. Crocetin ameliorates chronic restraint stress-induced depression-like behaviors in mice by regulating mek/erk pathways and gut microbiota.J. Ethnopharmacol.202126811360810.1016/j.jep.2020.113608 33242618
    [Google Scholar]
  69. BranisteV. Al-AsmakhM. KowalC. The gut microbiota influences blood-brain barrier permeability in mice.Sci. Transl. Med.20146263263ra15810.1126/scitranslmed.3009759 25411471
    [Google Scholar]
  70. CaoC. LiuM. QuS. Chinese medicine formula kai-xin-san ameliorates depression-like behaviours in chronic unpredictable mild stressed mice by regulating gut microbiota-inflammation-stress system.J. Ethnopharmacol.202026111305510.1016/j.jep.2020.113055 32592887
    [Google Scholar]
  71. ChevalierG. SiopiE. Guenin-MacéL. Effect of gut microbiota on depressive-like behaviors in mice is mediated by the endocannabinoid system.Nat. Commun.2020111636310.1038/s41467‑020‑19931‑2 33311466
    [Google Scholar]
  72. ZhangY. HuangR. ChengM. Gut microbiota from nlrp3-deficient mice ameliorates depressive-like behaviors by regulating astrocyte dysfunction via circhipk2.Microbiome20197111610.1186/s40168‑019‑0733‑3 31439031
    [Google Scholar]
  73. LiJ. HouL. WangC. JiaX. QinX. WuC. Short term intrarectal administration of sodium propionate induces antidepressant-like effects in rats exposed to chronic unpredictable mild stress.Front. Psychiatry2018945410.3389/fpsyt.2018.00454 30319461
    [Google Scholar]
  74. CasoJ.R. MacDowellK.S. González-PintoA. Gut microbiota, innate immune pathways, and inflammatory control mechanisms in patients with major depressive disorder.Transl. Psychiatry202111164510.1038/s41398‑021‑01755‑3 34934041
    [Google Scholar]
  75. ZhengP. ZengB. ZhouC. Gut microbiome remodeling induces depressive-like behaviors through a pathway mediated by the host’s metabolism.Mol. Psychiatry201621678679610.1038/mp.2016.44 27067014
    [Google Scholar]
  76. McGowanJ.C. HillC. MastrodonatoA. Prophylactic ketamine alters nucleotide and neurotransmitter metabolism in brain and plasma following stress.Neuropsychopharmacol20184391813182110.1038/s41386‑018‑0043‑7 29599484
    [Google Scholar]
  77. ZhangW. QuW. WangH. YanH. Antidepressants fluoxetine and amitriptyline induce alterations in intestinal microbiota and gut microbiome function in rats exposed to chronic unpredictable mild stress.Transl. Psychiatry202111113110.1038/s41398‑021‑01254‑5 33602895
    [Google Scholar]
  78. RamsteijnA.S. JašarevićE. HouwingD.J. BaleT.L. OlivierJ.D.A. Antidepressant treatment with fluoxetine during pregnancy and lactation modulates the gut microbiome and metabolome in a rat model relevant to depression.Gut Microbes202011473575310.1080/19490976.2019.1705728 31971855
    [Google Scholar]
  79. ShenW. TaoY. ZhengF. The alteration of gut microbiota in venlafaxine-ameliorated chronic unpredictable mild stress-induced depression in mice.Behav. Brain Res.202344611439910.1016/j.bbr.2023.114399 36963638
    [Google Scholar]
  80. LiuC.C. WuY.F. FengG.M. Plasma-metabolite-biomarkers for the therapeutic response in depressed patients by the traditional chinese medicine formula xiaoyaosan: A 1h nmr-based metabolomics approach.J. Affect. Disord.201518515616310.1016/j.jad.2015.05.005 26186531
    [Google Scholar]
  81. LiY. PengY. MaP. Antidepressant-like effects of cistanche tubulosa extract on chronic unpredictable stress rats through restoration of gut microbiota homeostasis.Front. Pharmacol.2018996710.3389/fphar.2018.00967 30186183
    [Google Scholar]
  82. AizawaE. TsujiH. AsaharaT. Possible association of bifidobacterium and lactobacillus in the gut microbiota of patients with major depressive disorder.J. Affect. Disord.201620225425710.1016/j.jad.2016.05.038 27288567
    [Google Scholar]
  83. DinanTG StantonC CryanJF Psychobiotics: A novel class of psychotropic.20137410720623759244
    [Google Scholar]
  84. MessaoudiM. LalondeR. ViolleN. Assessment of psychotropic-like properties of a probiotic formulation (lactobacillus helveticus r0052 and bifidobacterium longum r0175) in rats and human subjects.Br. J. Nutr.2011105575576410.1017/S0007114510004319 20974015
    [Google Scholar]
  85. BravoJ.A. ForsytheP. ChewM.V. Ingestion of lactobacillus strain regulates emotional behavior and central gaba receptor expression in a mouse via the vagus nerve.Proc. Natl. Acad. Sci. USA201110838160501605510.1073/pnas.1102999108 21876150
    [Google Scholar]
  86. NaseribafroueiA. HestadK. AvershinaE. Correlation between the human fecal microbiota and depression.Neurogastroenterol. Motil.20142681155116210.1111/nmo.12378 24888394
    [Google Scholar]
  87. ZhengP. YangJ. LiY. Gut microbial signatures can discriminate unipolar from bipolar depression.Adv. Sci. (Weinh.)202077190286210.1002/advs.201902862 32274300
    [Google Scholar]
  88. JiangH. LingZ. ZhangY. Altered fecal microbiota composition in patients with major depressive disorder.Brain Behav. Immun.20154818619410.1016/j.bbi.2015.03.016 25882912
    [Google Scholar]
  89. MuellerS. SaunierK. HanischC. Differences in fecal microbiota in different european study populations in relation to age, gender, and country: A cross-sectional study.Appl. Environ. Microbiol.20067221027103310.1128/AEM.72.2.1027‑1033.2006 16461645
    [Google Scholar]
  90. HuX. LiY. WuJ. Changes of gut microbiota reflect the severity of major depressive disorder: A cross sectional study.Transl. Psychiatry202313113710.1038/s41398‑023‑02436‑z 37117202
    [Google Scholar]
  91. van de WouwM. BoehmeM. LyteJ.M. Short‐chain fatty acids: Microbial metabolites that alleviate stress‐induced brain–gut axis alterations.J. Physiol.2018596204923494410.1113/JP276431 30066368
    [Google Scholar]
  92. TrzeciakP. HerbetM. Role of the intestinal microbiome, intestinal barrier and psychobiotics in depression.Nutrients202113392710.3390/nu13030927 33809367
    [Google Scholar]
  93. SunJ. WangF. HongG. Antidepressant-like effects of sodium butyrate and its possible mechanisms of action in mice exposed to chronic unpredictable mild stress.Neurosci. Lett.201661815916610.1016/j.neulet.2016.03.003 26957230
    [Google Scholar]
  94. WangP. ZhangY. GongY. Sodium butyrate triggers a functional elongation of microglial process via akt-small rhogtpase activation and hdacs inhibition.Neurobiol. Dis.2018111122510.1016/j.nbd.2017.12.006 29248540
    [Google Scholar]
  95. YamawakiY. FuchikamiM. MorinobuS. SegawaM. MatsumotoT. YamawakiS. Antidepressant-like effect of sodium butyrate (hdac inhibitor) and its molecular mechanism of action in the rat hippocampus.World J. Biol. Psychiatry201213645846710.3109/15622975.2011.585663 21812623
    [Google Scholar]
  96. AlpinoG.C.Á. Pereira-SolG.A. DiasM.M. AguiarA.S. PeluzioM.C.G. Beneficial effects of butyrate on brain functions: A view of epigenetic.Crit. Rev. Food Sci. Nutr.202464123961397010.1080/10408398.2022.2137776 36287024
    [Google Scholar]
  97. YoungS.N. Mechanism of decline in rat brain 5-hydroxytryptamine after induction of liver tryptophan pyrrolase by hydrocortisone: Roles of tryptophan catabolism and kynurenine synthesis.Br. J. Pharmacol.198174369570010.1111/j.1476‑5381.1981.tb10480.x 7296169
    [Google Scholar]
  98. FernstromJ.D. Tryptophan availability and serotonin synthesis in rat brain: Effects of experimental diabetes.Progress in Tryptophan and Serotonin Res1984161172
    [Google Scholar]
  99. SchruersK. GriezE. The effects of tryptophan depletion on mood and psychiatric symptoms.J. Affect. Disord.200374220310.1016/S0165‑0327(03)00002‑8 12706523
    [Google Scholar]
  100. LiC.C. JiangN. GanL. Peripheral and cerebral abnormalities of the tryptophan metabolism in the depression-like rats induced by chronic unpredicted mild stress.Neurochem. Int.202013810477110.1016/j.neuint.2020.104771 32450184
    [Google Scholar]
  101. TianP. ChenY. ZhuH. Bifidobacterium breve ccfm1025 attenuates major depression disorder via regulating gut microbiome and tryptophan metabolism: A randomized clinical trial.Brain Behav. Immun.202210023324110.1016/j.bbi.2021.11.023 34875345
    [Google Scholar]
  102. CervenkaI. AgudeloL.Z. RuasJ.L. Kynurenines: Tryptophan’s metabolites in exercise, inflammation, and mental health.Science20173576349eaaf979410.1126/science.aaf9794 28751584
    [Google Scholar]
  103. RichellR.A. DeakinJ.F.W. AndersonI.M. Effect of acute tryptophan depletion on the response to controllable and uncontrollable noise stress.Biol. Psychiatry200557329530010.1016/j.biopsych.2004.10.010 15691531
    [Google Scholar]
  104. El-HaggarS.M. EissaM.A. MostafaT.M. El-AttarK.S. AbdallahM.S. Psychosomatics. the phosphodiesterase inhibitor pentoxifylline as a novel adjunct to antidepressants in major depressive disorder patients: A proof-of-concept, randomized, double-blind, placebo-controlled trial.Psychother. Psychosom.201887633133910.1159/000492619 30205379
    [Google Scholar]
  105. DehhaghiM.K.S. PanahiH. GuilleminG.J. Microorganisms, tryptophan metabolism, and kynurenine pathway: A complex interconnected loop influencing human health status.Int. J. Tryptophan Res.201912117864691985299610.1177/1178646919852996 31258331
    [Google Scholar]
  106. LefebvreP. CariouB. LienF. KuipersF. StaelsB. Role of bile acids and bile acid receptors in metabolic regulation.Physiol. Rev.200989114719110.1152/physrev.00010.2008 19126757
    [Google Scholar]
  107. HofmannA.F. HageyL.R. Bile acids: Chemistry, pathochemistry, biology, pathobiology, and therapeutics.Cell. Mol. Life Sci.200865162461248310.1007/s00018‑008‑7568‑6 18488143
    [Google Scholar]
  108. BajorA. GillbergP.G. AbrahamssonH. Bile acids: Short and long term effects in the intestine.Scand. J. Gastroenterol.201045664566410.3109/00365521003702734 20334475
    [Google Scholar]
  109. HsuchouH. PanW. KastinA.J. The fasting polypeptide fgf21 can enter brain from blood.Peptides200728122382238610.1016/j.peptides.2007.10.007 17996984
    [Google Scholar]
  110. PerryR.J. LeeS. MaL. ZhangD. SchlessingerJ. ShulmanG.I. Fgf1 and fgf19 reverse diabetes by suppression of the hypothalamic–pituitary–adrenal axis.Nat. Commun.201561698010.1038/ncomms7980 25916467
    [Google Scholar]
  111. SonneD.P. van NieropF.S. KulikW. SoetersM.R. VilsbøllT. KnopF.K. Postprandial plasma concentrations of individual bile acids and fgf-19 in patients with type 2 diabetes.J. Clin. Endocrinol. Metab.201610183002300910.1210/jc.2016‑1607 27270475
    [Google Scholar]
  112. LeeJ.H. LeeJ. Indole as an intercellular signal in microbial communities.FEMS Microbiol. Rev.201034442644410.1111/j.1574‑6976.2009.00204.x 20070374
    [Google Scholar]
  113. MirH.D. MilmanA. MonnoyeM. The gut microbiota metabolite indole increases emotional responses and adrenal medulla activity in chronically stressed male mice.Psychoneuroendocrinol202011910475010.1016/j.psyneuen.2020.104750 32569990
    [Google Scholar]
  114. ÅgrenH. NiklassonF. HällgrenR. Brain purinergic activity linked with depressive symptomatology: Hypoxanthine and xanthine in csf of patients with major depressive disorders.Psychiatry Res.19839317918910.1016/0165‑1781(83)90042‑2 6578531
    [Google Scholar]
  115. ZhengP. ChenJ. ZhouC. ZengL. LiK. SunL. Identification of sex-specific urinary biomarkers for major depressive disorder by combined application of NMR-and GC–MS-based metabonomics.Transl. Psychiat2016611e95510.1038/tp.2016.188 27845778
    [Google Scholar]
  116. WuY. LiY. JiaY. Imbalance in amino acid and purine metabolisms at the hypothalamus in inflammation-associated depression by gc-ms.Mol. Biosyst.201713122715272810.1039/C7MB00494J 29160327
    [Google Scholar]
  117. ChenY. TianP. WangZ. Indole acetic acid exerts anti-depressive effects on an animal model of chronic mild stress.Nutrients20221423501910.3390/nu14235019 36501051
    [Google Scholar]
  118. Bolden-WatsonC. RichelsonE. Blockade by newly-developed antidepressants of biogenic amine uptake into rat brain synaptosomes.Life Sci.199352121023102910.1016/0024‑3205(93)90194‑8 8445992
    [Google Scholar]
  119. HussainMS ChaturvediVJPF The present condition of sickle cell disease: An overview of stem cell transplantation as a cure.20235e5763
    [Google Scholar]
  120. ChaitY.A. MottaweaW. TompkinsT.A. HammamiR. Nutritional and therapeutic approaches for protecting human gut microbiota from psychotropic treatments.Progress in Neuro-psychopharmacology and Biological Psychiatry2021108110182
    [Google Scholar]
  121. PredictableSE LaurencicG MaloneDA Side effects of antidepressants: An overview.Cleve Clin J Med200673435135310.3949/ccjm.73.4.35116610395
    [Google Scholar]
  122. RothmoreJ. Antidepressant‐induced sexual dysfunction.Med. J. Aust.2020212732933410.5694/mja2.50522 32172535
    [Google Scholar]
  123. LamR.W. WanD.D.C. CohenN.L. KennedyS.H. Combining antidepressants for treatment-resistant depression: A review.J. Clin. Psychiatry200263868569310.4088/JCP.v63n0805 12197448
    [Google Scholar]
  124. LiB. XuM. WangY. FengL. XingH. ZhangK. Gut microbiota: A new target for traditional chinese medicine in the treatment of depression.J. Ethnopharmacol.202330311603810.1016/j.jep.2022.116038 36529248
    [Google Scholar]
  125. ChenJ. LeiC. LiX. Research progress on classical traditional chinese medicine formula xiaoyaosan in the treatment of depression.Front. Pharmacol.20221392551410.3389/fphar.2022.925514 35991880
    [Google Scholar]
  126. GuoZ. LongT. YaoJ. LiY. XiaoL. ChenM. Potential antidepressant effects of traditional chinese botanical drug formula chaihu-shugan-san and its active ingredients.Front. Pharmacol.202415133787610.3389/fphar.2024.1337876 38628641
    [Google Scholar]
  127. BermanR.M. CappielloA. AnandA. Antidepressant effects of ketamine in depressed patients.Biol. Psychiatry200047435135410.1016/S0006‑3223(99)00230‑9 10686270
    [Google Scholar]
  128. LiL. VlisidesP.E. ketamine: 50 years of modulating the mind.Front. Hum. Neurosci.20161061210.3389/fnhum.2016.00612 27965560
    [Google Scholar]
  129. PeltoniemiM.A. HagelbergN.M. OlkkolaK.T. SaariT.I. Ketamine: A review of clinical pharmacokinetics and pharmacodynamics in anesthesia and pain therapy.Clin. Pharmacokinet.20165591059107710.1007/s40262‑016‑0383‑6 27028535
    [Google Scholar]
  130. HuaH. HuangC. LiuH. Depression and antidepressant effects of ketamine and its metabolites: The pivotal role of gut microbiota.Neuropharmacology202222010927210.1016/j.neuropharm.2022.109272 36170927
    [Google Scholar]
  131. GetachewB. AubeeJ.I. SchottenfeldR.S. CsokaA.B. ThompsonK.M. TizabiY. Ketamine interactions with gut-microbiota in rats: Relevance to its antidepressant and anti-inflammatory properties.BMC Microbiol.201818122210.1186/s12866‑018‑1373‑7 30579332
    [Google Scholar]
  132. HuangN. HuaD. ZhanG. Role of actinobacteria and coriobacteriia in the antidepressant effects of ketamine in an inflammation model of depression.Pharmacol. Biochem. Behav.20191769310010.1016/j.pbb.2018.12.001 30528936
    [Google Scholar]
  133. SpohnS.N. MaweG.M. Non-conventional features of peripheral serotonin signalling — the gut and beyond.Nat. Rev. Gastroenterol. Hepatol.201714741242010.1038/nrgastro.2017.51 28487547
    [Google Scholar]
  134. Serrano-ContrerasJ.I. García-PérezI. Meléndez-CamargoM.E. Zepeda-VallejoL.G. Nmr-based metabonomic analysis of normal rat urine and faeces in response to (±)-venlafaxine treatment.J. Pharm. Biomed. Anal.2016123829210.1016/j.jpba.2016.01.044 26895493
    [Google Scholar]
  135. de SantiF. BeltrameF.L. RodriguesB.M. Venlafaxine‐induced damage to seminiferous epithelium, spermiation, and sperm parameters in rats: A correlation with high estrogen levels.Andrology20219129731110.1111/andr.12852 32598512
    [Google Scholar]
  136. HoftoL.R. LeeC.E. CafieroM. The importance of aromatic‐type interactions in serotonin synthesis: Protein–ligand interactions in tryptophan hydroxylase and aromatic amino acid decarboxylase.J. Comput. Chem.20093071111111510.1002/jcc.21139 18942733
    [Google Scholar]
  137. SugiyamaY. MoriY. NaraM. Gut bacterial aromatic amine production: Aromatic amino acid decarboxylase and its effects on peripheral serotonin production.Gut Microbes2022141212860510.1080/19490976.2022.2128605 36217238
    [Google Scholar]
  138. MaC. YuanD. RenaudS.J. Chaihu-shugan-san alleviates depression-like behavior in mice exposed to chronic unpredictable stress by altering the gut microbiota and levels of the bile acids hyocholic acid and 7-ketodca.Front. Pharmacol.202213104059110.3389/fphar.2022.1040591 36339629
    [Google Scholar]
  139. LiW. ZhouR. ZhengJ. Chaihu-shugan-san ameliorates tumor growth in prostate cancer promoted by depression via modulating sphingolipid and glycerinphospholipid metabolism.Front. Pharmacol.202213101145010.3389/fphar.2022.1011450 36545317
    [Google Scholar]
  140. MakrisA.P. KarianakiM. TsamisK.I. PaschouS.A. The role of the gut-brain axis in depression: Endocrine, neural, and immune pathways.Hormones (Athens)202120111210.1007/s42000‑020‑00236‑4 32827123
    [Google Scholar]
  141. TufailM. WuC. HussainM.S. Dietary, addictive and habitual factors, and risk of colorectal cancer.Nutrition202412011233410.1016/j.nut.2023.112334 38271761
    [Google Scholar]
  142. NovaE. Gómez-MartinezS. González-SolteroR. The influence of dietary factors on the gut microbiota.Microorganisms2022107136810.3390/microorganisms10071368 35889087
    [Google Scholar]
  143. den BestenG. van EunenK. GroenA.K. VenemaK. ReijngoudD.J. BakkerB.M. The role of short-chain fatty acids in the interplay between diet, gut microbiota, and host energy metabolism.J. Lipid Res.20135492325234010.1194/jlr.R036012 23821742
    [Google Scholar]
  144. de Souza LopesA. E C AntunesA. I A MachadoK. SartorattoA. C T DuarteM. The impact of antimicrobial food additives and sweeteners on the growth and metabolite production of gut bacteria.Folia Microbiol. (Praha)202368581382110.1007/s12223‑023‑01076‑6 37480433
    [Google Scholar]
  145. García-MonteroC. Fraile-MartínezO. Gómez-LahozA.M. Nutritional components in western diet versus mediterranean diet at the gut microbiota–immune system interplay. implications for health and disease.Nutrients202113269910.3390/nu13020699 33671569
    [Google Scholar]
  146. ZhongX. HarringtonJ.M. MillarS.R. PerryI.J. O’TooleP.W. PhillipsC.M. Gut microbiota associations with metabolic health and obesity status in older adults.Nutrients2020128236410.3390/nu12082364 32784721
    [Google Scholar]
  147. HussainM.S. SharmaG. The burden of cardiovascular diseases due to covid-19 pandemic.Thorac. Cardiovasc. Surg.20227214050 35987194
    [Google Scholar]
  148. HussainM.S. AfzalO. GuptaG. Long non-coding rnas in lung cancer: Unraveling the molecular modulators of mapk signaling.Pathol. Res. Pract.202324915473810.1016/j.prp.2023.154738 37595448
    [Google Scholar]
  149. IslamM.R. RaufA. AlashS. A comprehensive review of phytoconstituents in liver cancer prevention and treatment: Targeting insights into molecular signaling pathways.Med. Oncol.202441613410.1007/s12032‑024‑02333‑5 38703282
    [Google Scholar]
  150. CiceraleS. ConlanX.A. SinclairA.J. KeastR.S.J. Chemistry and health of olive oil phenolics.Crit. Rev. Food Sci. Nutr.200849321823610.1080/10408390701856223 19093267
    [Google Scholar]
  151. DavinelliS. IntrieriM. CorbiG. ScapagniniG. Metabolic indices of polyunsaturated fatty acids: Current evidence, research controversies, and clinical utility.Crit. Rev. Food Sci. Nutr.202161225927410.1080/10408398.2020.1724871 32056443
    [Google Scholar]
  152. IslamM.R. RaufA. AkashS. Recent perspective on the potential role of phytocompounds in the prevention of gastric cancer.Process Biochem.202313583101
    [Google Scholar]
  153. CoelhoO.G.L. CândidoF.G. AlfenasR.C.G. Dietary fat and gut microbiota: Mechanisms involved in obesity control.Crit. Rev. Food Sci. Nutr.201959193045305310.1080/10408398.2018.1481821 29851507
    [Google Scholar]
  154. DueñasM. Muñoz-GonzálezI. CuevaC. A survey of modulation of gut microbiota by dietary polyphenols.BioMed Res. Int.2015201511510.1155/2015/850902 25793210
    [Google Scholar]
  155. HussainMS KaurG MohapatraC Nutritional composition and functions of flaxseed (linum usitatissimum linn.).202138891
    [Google Scholar]
  156. WangM MaLJ YangY XiaoZ WanJB N-3 polyunsaturated fatty acids for the management of alcoholic liver disease: A critical review.Crit Rev Food Sci Nutr201959sup1S1162910.1080/10408398.2018.154454230580553
    [Google Scholar]
  157. EtxeberriaU. AriasN. BoquéN. Reshaping faecal gut microbiota composition by the intake of trans-resveratrol and quercetin in high-fat sucrose diet-fed rats.J. Nutr. Biochem.201526665166010.1016/j.jnutbio.2015.01.002 25762527
    [Google Scholar]
  158. KumarM HussainMS Sonu An overview of treatment modalities and management aspects for obesity.Curr. Nutr. Food Sci.202319210511310.2174/1573401318666220527124759
    [Google Scholar]
  159. CaniP.D. Van HulM. Mediterranean diet, gut microbiota and health: When age and calories do not add up!Gut20206971167116810.1136/gutjnl‑2020‑320781 32169906
    [Google Scholar]
  160. GodosJ. GrossoG. FerriR. Mediterranean diet, mental health, cognitive status, quality of life, and successful aging in southern italian older adults.Exp. Gerontol.202317511214310.1016/j.exger.2023.112143 36907474
    [Google Scholar]
  161. OzsoyS. SultanogluN. SanlidagT. The role of mediterranean diet and gut microbiota in type-2 diabetes mellitus associated with obesity (diabesity).J. Prev. Med. Hyg.2022632Suppl. 3E87E92 36479504
    [Google Scholar]
  162. SalmanM.K. AbuqwiderJ. MaurielloG. Anti-quorum sensing activity of probiotics: The mechanism and role in food and gut health.Microorganisms202311379310.3390/microorganisms11030793 36985366
    [Google Scholar]
  163. FeiY. ChenZ. HanS. Role of prebiotics in enhancing the function of next-generation probiotics in gut microbiota.Crit. Rev. Food Sci. Nutr.20236381037105410.1080/10408398.2021.1958744 34323634
    [Google Scholar]
  164. LiH.Y. ZhouD.D. GanR.Y. Effects and mechanisms of probiotics, prebiotics, synbiotics, and postbiotics on metabolic diseases targeting gut microbiota: A narrative review.Nutrients2021139321110.3390/nu13093211 34579087
    [Google Scholar]
  165. Bedu-FerrariC. BiscarratP. LangellaP. CherbuyC. Prebiotics and the human gut microbiota: From breakdown mechanisms to the impact on metabolic health.Nutrients20221410209610.3390/nu14102096 35631237
    [Google Scholar]
  166. KhanA. DingZ. IshaqM. Understanding the effects of gut microbiota dysbiosis on nonalcoholic fatty liver disease and the possible probiotics role: Recent updates.Int. J. Biol. Sci.202117381883310.7150/ijbs.56214 33767591
    [Google Scholar]
  167. TiwaryS. HussainM.S. Functional foods for prevention and treatment of cancer.Asian J. Pharm. Clin. Res.20211441010.22159/ajpcr.2021.v14i3.40426
    [Google Scholar]
  168. ZhaoY. YangG. ZhaoZ. Antidepressant-like effects of lactobacillus plantarum dp189 in a corticosterone-induced rat model of chronic stress.Behav. Brain Res.202039511285310.1016/j.bbr.2020.112853 32771396
    [Google Scholar]
  169. Barros-SantosT. SilvaK.S.O. Libarino-SantosM. Effects of chronic treatment with new strains of lactobacillus plantarum on cognitive, anxiety- and depressive-like behaviors in male mice.PLoS One2020156e023403710.1371/journal.pone.0234037 32559185
    [Google Scholar]
  170. WeiC.L. WangS. YenJ.T. Antidepressant-like activities of live and heat-killed lactobacillus paracasei ps23 in chronic corticosterone-treated mice and possible mechanisms.Brain Res.2019171120221310.1016/j.brainres.2019.01.025 30684456
    [Google Scholar]
  171. KochalskaK. OakdenW. SłowikT. Dietary supplementation with lactobacillus rhamnosus jb-1 restores brain neurochemical balance and mitigates the progression of mood disorder in a rat model of chronic unpredictable mild stress.Nutr. Res.202082445710.1016/j.nutres.2020.06.019 32961399
    [Google Scholar]
  172. TianP. O’RiordanK.J. LeeY. Towards a psychobiotic therapy for depression: bifidobacterium breve ccfm1025 reverses chronic stress-induced depressive symptoms and gut microbial abnormalities in mice.Neurobiol. Stress20201210021610.1016/j.ynstr.2020.100216 32258258
    [Google Scholar]
  173. GuoY. XieJ.P. DengK. Prophylactic effects of bifidobacterium adolescentis on anxiety and depression-like phenotypes after chronic stress: A role of the gut microbiota-inflammation axis.Front. Behav. Neurosci.20191312610.3389/fnbeh.2019.00126 31275120
    [Google Scholar]
  174. WallaceC.J.K. MilevR.V. The efficacy, safety, and tolerability of probiotics on depression: Clinical results from an open-label pilot study.Front. Psychiatry20211261827910.3389/fpsyt.2021.618279 33658952
    [Google Scholar]
  175. BrowneP.D. BolteA.C. Besseling-van der VaartI. ClaassenE. de WeerthC. Probiotics as a treatment for prenatal maternal anxiety and depression: A double-blind randomized pilot trial.Sci. Rep.2021111305110.1038/s41598‑021‑81204‑9 33542275
    [Google Scholar]
  176. RudzkiL. OstrowskaL. PawlakD. Probiotic lactobacillus plantarum 299v decreases kynurenine concentration and improves cognitive functions in patients with major depression: A double-blind, randomized, placebo controlled study.Psychoneuroendocrinology201910021322210.1016/j.psyneuen.2018.10.010 30388595
    [Google Scholar]
  177. MajeedM. NagabhushanamK. ArumugamS. MajeedS. AliF. bacillus coagulans mtcc 5856 for the management of major depression with irritable bowel syndrome: A randomised, double-blind, placebo controlled, multi-centre, pilot clinical study.Food Nutr. Res.20186206210.29219/fnr.v62.1218 29997457
    [Google Scholar]
  178. ChiL. KhanI. LinZ. Fructo-oligosaccharides from morinda officinalis remodeled gut microbiota and alleviated depression features in a stress rat model.Phytomedicine20206715315710.1016/j.phymed.2019.153157 31896054
    [Google Scholar]
  179. SavignacH.M. CouchY. StratfordM. Prebiotic administration normalizes lipopolysaccharide (lps)-induced anxiety and cortical 5-ht2a receptor and il1-β levels in male mice.Brain Behav. Immun.20165212013110.1016/j.bbi.2015.10.007 26476141
    [Google Scholar]
  180. BurokasA. ArboleyaS. MoloneyR.D. Targeting the microbiota-gut-brain axis: Prebiotics have anxiolytic and antidepressant-like effects and reverse the impact of chronic stress in mice.Biol. Psychiatry201782747248710.1016/j.biopsych.2016.12.031 28242013
    [Google Scholar]
  181. Vaghef-MehrabanyE. RanjbarF. Asghari-JafarabadiM. Hosseinpour-ArjmandS. Ebrahimi-MameghaniM. Calorie restriction in combination with prebiotic supplementation in obese women with depression: Effects on metabolic and clinical response.Nutr. Neurosci.202124533935310.1080/1028415X.2019.1630985 31241002
    [Google Scholar]
  182. GhorbaniZ. NazariS. EtesamF. NourimajdS. AhmadpanahM. R JahromiS. The effect of synbiotic as an adjuvant therapy to fluoxetine in moderate depression: A randomized multicenter trial.Arch. Neurosci.201852510.5812/archneurosci.60507
    [Google Scholar]
  183. KazemiA. NoorbalaA.A. AzamK. DjafarianK. Effect of prebiotic and probiotic supplementation on circulating pro-inflammatory cytokines and urinary cortisol levels in patients with major depressive disorder: A double-blind, placebo-controlled randomized clinical trial.J. Funct. Foods20195259660210.1016/j.jff.2018.11.041
    [Google Scholar]
  184. KazemiA. NoorbalaA.A. AzamK. EskandariM.H. DjafarianK. Effect of probiotic and prebiotic vs placebo on psychological outcomes in patients with major depressive disorder: A randomized clinical trial.Clin. Nutr.201938252252810.1016/j.clnu.2018.04.010 29731182
    [Google Scholar]
  185. ChudzikA. OrzyłowskaA. RolaR. StaniszG.J. Probiotics, prebiotics and postbiotics on mitigation of depression symptoms: Modulation of the brain–gut–microbiome axis.Biomolecules2021117100010.3390/biom11071000 34356624
    [Google Scholar]
  186. XuH.S. ChenY. PatelA. WangZ. McDonoughC. GuoT.L. Chronic exposure to nanocellulose altered depression-related behaviors in mice on a western diet: The role of immune modulation and the gut microbiome.Life Sci.202333512225910.1016/j.lfs.2023.122259 37949212
    [Google Scholar]
  187. SchiopuC. ȘtefănescuG. DiaconescuS. Magnesium orotate and the microbiome–gut–brain axis modulation: New approaches in psychological comorbidities of gastrointestinal functional disorders.Nutrients2022148156710.3390/nu14081567 35458129
    [Google Scholar]
  188. CollopyN. Flowers or Flora?: Understanding the Effects of Probiotics on Depression.In: Senior Theses.DominicaDominican University of California201913010.33015/dominican.edu/2019.NURS.ST.02
    [Google Scholar]
  189. MinayoM.S. MirandaI. TelhadoR.S. A systematic review of the effects of probiotics on depression and anxiety: An alternative therapy?Cien. Saude Colet.20212694087409910.1590/1413‑81232021269.21342020 34586262
    [Google Scholar]
  190. VitellioP. ChiraA. De AngelisM. DumitrascuD.L. PortincasaP. Probiotics in psychosocial stress and anxiety. a systematic review.J. Gastrointestin. Liver Dis.2020291778310.15403/jgld‑352 32176751
    [Google Scholar]
  191. AnsariF. PourjafarH. TabriziA. HomayouniA. The effects of probiotics and prebiotics on mental disorders: A review on depression, anxiety, Alzheimer, and autism spectrum disorders.Curr. Pharm. Biotechnol.202021755556510.2174/1389201021666200107113812 31914909
    [Google Scholar]
  192. YangH. LiuY. CaiR. LiY. GuB. A narrative review of relationship between gut microbiota and neuropsychiatric disorders: Mechanisms and clinical application of probiotics and prebiotics.Ann. Palliat. Med.20211022304231310.21037/apm‑20‑1365 33549028
    [Google Scholar]
  193. KumarA. PramanikJ. GoyalN. Gut microbiota in anxiety and depression: Unveiling the relationships and management options.Pharmaceuticals (Basel)202316456510.3390/ph16040565 37111321
    [Google Scholar]
  194. LiuX. CaoS. ZhangX. Modulation of gut microbiota–brain axis by probiotics, prebiotics, and diet.J. Agric. Food Chem.201563367885789510.1021/acs.jafc.5b02404 26306709
    [Google Scholar]
  195. GambaroE. GramagliaC. BaldonG. “gut–brain axis”: Review of the role of the probiotics in anxiety and depressive disorders.Brain Behav.20201010e0180310.1002/brb3.1803 32910544
    [Google Scholar]
  196. GhaniR. MullishB.H. RobertsL.A. DaviesF.J. MarchesiJ.R. The potential utility of fecal (or intestinal) microbiota transplantation in controlling infectious diseases.Gut Microbes2022141203885610.1080/19490976.2022.2038856 35230889
    [Google Scholar]
  197. KaakoushN.O. Fecal transplants as a microbiome-based therapeutic.Curr. Opin. Microbiol.202056162310.1016/j.mib.2020.05.008 32615390
    [Google Scholar]
  198. ThangaleelaS. SivamaruthiB.S. KesikaP. ChaiyasutC. Role of probiotics and diet in the management of neurological diseases and mood states: A review.Microorganisms20221011226810.3390/microorganisms10112268 36422338
    [Google Scholar]
  199. DollJ.P.K. Vázquez-CastellanosJ.F. SchaubA.C. Fecal microbiota transplantation (fmt) as an adjunctive therapy for depression—case report.Front. Psychiatry20221381542210.3389/fpsyt.2022.815422 35250668
    [Google Scholar]
  200. ZhangQ. ChenB. ZhangJ. Effect of prebiotics, probiotics, synbiotics on depression: Results from a meta-analysis.BMC Psychiatry202323147710.1186/s12888‑023‑04963‑x 37386630
    [Google Scholar]
  201. GaoB. ChiL. ZhuY. An introduction to next generation sequencing bioinformatic analysis in gut microbiome studies.Biomolecules202111453010.3390/biom11040530 33918473
    [Google Scholar]
  202. LiH. XiangY. ZhuZ. Rifaximin-mediated gut microbiota regulation modulates the function of microglia and protects against cums-induced depression-like behaviors in adolescent rat.J. Neuroinflammation202118125410.1186/s12974‑021‑02303‑y 34736493
    [Google Scholar]
  203. ZhangL. ChenF. ZengZ. Advances in metagenomics and its application in environmental microorganisms.Front. Microbiol.20211276636410.3389/fmicb.2021.766364 34975791
    [Google Scholar]
  204. SchomburgD. StephanD. 2-Dehydro-3-deoxygluconokinase.In: Enzyme Handbook 13.Berlin, HeidelbergSpringer199783583810.1007/978‑3‑642‑59176‑1_156
    [Google Scholar]
  205. YuM. JiaH. ZhouC. Variations in gut microbiota and fecal metabolic phenotype associated with depression by 16s rrna gene sequencing and lc/ms-based metabolomics.J. Pharm. Biomed. Anal.201713823123910.1016/j.jpba.2017.02.008 28219800
    [Google Scholar]
  206. DuanJ. XieP. The potential for metabolomics in the study and treatment of major depressive disorder and related conditions.Expert Rev. Proteomics202017430932210.1080/14789450.2020.1772059 32516008
    [Google Scholar]
  207. PantazatosS.P. HuangY.Y. RosoklijaG.B. DworkA.J. ArangoV. MannJ.J. Whole-transcriptome brain expression and exon-usage profiling in major depression and suicide: Evidence for altered glial, endothelial and atpase activity.Mol. Psychiatry201722576077310.1038/mp.2016.130 27528462
    [Google Scholar]
  208. ManzoniC. KiaD.A. VandrovcovaJ. Genome, transcriptome and proteome: The rise of omics data and their integration in biomedical sciences.Brief. Bioinform.201819228630210.1093/bib/bbw114 27881428
    [Google Scholar]
  209. LiuY. WangH. GuiS. Proteomics analysis of the gut–brain axis in a gut microbiota-dysbiosis model of depression.Transl. Psychiatry202111156810.1038/s41398‑021‑01689‑w 34744165
    [Google Scholar]
  210. MontanerJ. RamiroL. SimatsA. Multilevel omics for the discovery of biomarkers and therapeutic targets for stroke.Nat. Rev. Neurol.202016524726410.1038/s41582‑020‑0350‑6 32322099
    [Google Scholar]
  211. FurutaniK. TsumotoK. KurachiY. HD physiology project—japanese efforts to promote multilevel integrative systems biology and physiome research.NPJ Syst. Biol. Appl.201731110.1038/s41540‑016‑0001‑0 28649429
    [Google Scholar]
  212. NarayananA.P. LatikaA. NairA.S. AjeeshP. KumarN.S. BabuM. Role of gut microbiota in human health and diseases.Curr. Nutr. Food Sci.202117437438310.2174/1573401316999200930130101
    [Google Scholar]
  213. KellyJ.R. KeaneV.O. CryanJ.F. ClarkeG. DinanT.G. Mood and microbes.Gastroenterol. Clin. North Am.201948338940510.1016/j.gtc.2019.04.006 31383278
    [Google Scholar]
  214. HuB. DasP. LvX. Effects of ‘healthy’ fecal microbiota transplantation against the deterioration of depression in fawn-hooded rats.mSystems202273e00218e0022210.1128/msystems.00218‑22 35481347
    [Google Scholar]
  215. BokoliyaS.C. DorsettY. PanierH. ZhouY. Procedures for fecal microbiota transplantation in murine microbiome studies.Front. Cell. Infect. Microbiol.20211171105510.3389/fcimb.2021.711055 34621688
    [Google Scholar]
  216. JuanZ. ChenJ. DingB. Probiotic supplement attenuates chemotherapy-related cognitive impairment in patients with breast cancer: A randomised, double-blind, and placebo-controlled trial.Eur. J. Cancer2022161102210.1016/j.ejca.2021.11.006 34896904
    [Google Scholar]
  217. GayathriD. RashmiB.S. Mechanism of development of depression and probiotics as adjuvant therapy for its prevention and management.Ment. Health Prev.20175405110.1016/j.mhp.2017.01.003
    [Google Scholar]
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