Microbiota-Orientated Treatments for Major Depression and Schizophrenia
Abstract
:1. Introduction
2. Methods
2.1. Criteria for Included Studies:
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- Design: Human observational and interventional studies and meta-analyses including human data;
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- Exploring the association between microbiota disturbances (or irritable bowel syndrome) and major depression or schizophrenia defined by a DSM or ICD-based diagnostic tool (structured clinical interview) OR assessing the efficacy of a microbiota-orientated therapy (probiotics or fecal microbiota transplantation).
2.2. Exclusion Criteria:
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- animal studies;
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- studies including no individuals with major depression or schizophrenia;
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- case reports;
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- reviews.
3. Results
3.1. Microbiota-Orientated Therapies and Their Interest for Major Depression
3.2. Fecal Microbiota Transplantation’s Effectiveness in Non-Psychiatric Diseases
3.3. Fecal Microbiota Transplantation’s Safety in Non-Psychiatric Diseases
3.4. Oral Capsules Administration: An Improvement for Fecal Microbiota Transplantation Safety
4. Conclusions
Author Contributions
Funding
Conflicts of Interest
References
- WHO. Depression: A Global Crisis. World Mental Health Day, October 10 2012; World Federation for Mental Health: Occoquan, VA, USA, 2012. [Google Scholar]
- Fond, G.; Lancon, C.; Auquier, P.; Boyer, L. Prevalence of major depression in France in the general population and in specific populations from 2000 to 2018: A systematic review of the literature. Presse Med. Paris Fr. 1983 2019, 48, 365–375. [Google Scholar]
- Fond, G.; Masson, M.; Auquier, P.; Da Fonseca, D.; Lançon, C.; Llorca, P.-M.; Boyer, L. The key role of psychiatry in the development of French health-related sustainable development goals. L’Encephale 2019, 45, 99–100. [Google Scholar] [CrossRef] [PubMed]
- Sobocki, P.; Jönsson, B.; Angst, J.; Rehnberg, C. Cost of depression in Europe. J. Ment. Health Policy Econ. 2006, 9, 87–98. [Google Scholar] [PubMed]
- Greenberg, P.E.; Fournier, A.-A.; Sisitsky, T.; Pike, C.T.; Kessler, R.C. The economic burden of adults with major depressive disorder in the United States (2005 and 2010). J. Clin. Psychiatry 2015, 76, 155–162. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Fond, G.; Masson, M.; Lançon, C.; Auquier, P.; Boyer, L. Updating of the French recommendations for the first-line treatment of major depression. L’Encephale 2019, 45, 457–458. [Google Scholar] [CrossRef]
- Hay, S.I.; Abajobir, A.A.; Abate, K.H.; Abbafati, C.; Abbas, K.M.; Abd-Allah, F.; Abdulkader, R.S.; Abdulle, A.M.; Abebo, T.A.; Abera, S.F.; et al. GBD 2016 DALYs and HALE Collaborators Global, regional, and national disability-adjusted life-years (DALYs) for 333 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990–2016: A systematic analysis for the global burden of disease study 2016. Lancet Lond. Engl. 2017, 390, 1260–1344. [Google Scholar]
- Andrianarisoa, M.; Boyer, L.; Godin, O.; Brunel, L.; Bulzacka, E.; Aouizerate, B.; Berna, F.; Capdevielle, D.; Dorey, J.M.; Dubertret, C.; et al. Childhood trauma, depression and negative symptoms are independently associated with impaired quality of life in schizophrenia. Results from the national FACE-SZ cohort. Schizophr. Res. 2017, 185, 173–181. [Google Scholar] [CrossRef]
- Fond, G.; Boyer, L.; Berna, F.; Godin, O.; Bulzacka, E.; Andrianarisoa, M.; Brunel, L.; Aouizerate, B.; Capdevielle, D.; Chereau, I.; et al. Remission of depression in patients with schizophrenia and comorbid major depressive disorder: Results from the FACE-SZ cohort. Br. J. Psychiatry 2018, 213, 464–470. [Google Scholar] [CrossRef]
- Alessandrini, M.; Lançon, C.; Fond, G.; Faget-Agius, C.; Richieri, R.; Faugere, M.; Metairie, E.; Boucekine, M.; Llorca, P.-M.; Auquier, P.; et al. A structural equation modelling approach to explore the determinants of quality of life in schizophrenia. Schizophr. Res. 2016, 171, 27–34. [Google Scholar] [CrossRef]
- Fond, G.; Godin, O.; Dumontaud, M.; Faget, C.; Schürhoff, F.; Berna, F.; Aouizerate, B.; Capdevielle, D.; Chereau, I.; D’Amato, T.; et al. Sexual dysfunctions are associated with major depression, chronic inflammation and anticholinergic consumption in the real-world schizophrenia FACE-SZ national cohort. Prog. Neuropsychopharmacol. Biol. Psychiatry 2019, 94, 109654. [Google Scholar] [CrossRef]
- Kucerova, J.; Babinska, Z.; Horska, K.; Kotolova, H. The common pathophysiology underlying the metabolic syndrome, schizophrenia and depression. A review. Biomed. Pap. Med. Fac. Univ. Palacký Olomouc Czechoslov. 2015, 159, 208–214. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Gregory, A.; Mallikarjun, P.; Upthegrove, R. Treatment of depression in schizophrenia: Systematic review and meta-analysis. Br. J. Psychiatry J. Ment. Sci. 2017, 211, 198–204. [Google Scholar] [CrossRef] [PubMed]
- Godin, O.; Leboyer, M.; Schürhoff, F.; Boyer, L.; Andrianarisoa, M.; Brunel, L.; Bulzacka, E.; Aouizerate, B.; Berna, F.; Capdevielle, D.; et al. Predictors of rapid high weight gain in schizophrenia: Longitudinal analysis of the French FACE-SZ cohort. J. Psychiatr. Res. 2017, 94, 62–69. [Google Scholar] [CrossRef] [PubMed]
- Fond, G.; Boyer, L.; Andrianarisoa, M.; Godin, O.; Bulzacka, E.; Berna, F.; Brunel, L.; Coulon, N.; Aouizerate, B.; Capdevielle, D.; et al. Self-reported pain in patients with schizophrenia. Results from the national first-step FACE-SZ cohort. Prog. Neuropsychopharmacol. Biol. Psychiatry 2018, 85, 62–68. [Google Scholar] [CrossRef]
- Nakajima, S.; Takeuchi, H.; Fervaha, G.; Plitman, E.; Chung, J.K.; Caravaggio, F.; Iwata, Y.; Mihashi, Y.; Gerretsen, P.; Remington, G.; et al. Comparative efficacy between clozapine and other atypical antipsychotics on depressive symptoms in patients with schizophrenia: Analysis of the CATIE phase 2E data. Schizophr. Res. 2015, 161, 429–433. [Google Scholar] [CrossRef] [Green Version]
- Wykes, T.; Haro, J.M.; Belli, S.R.; Obradors-Tarragó, C.; Arango, C.; Ayuso-Mateos, J.L.; Bitter, I.; Brunn, M.; Chevreul, K.; Demotes-Mainard, J.; et al. Mental health research priorities for Europe. Lancet Psychiatry 2015, 2, 1036–1042. [Google Scholar] [CrossRef] [Green Version]
- Cipriani, A.; Furukawa, T.A.; Salanti, G.; Chaimani, A.; Atkinson, L.Z.; Ogawa, Y.; Leucht, S.; Ruhe, H.G.; Turner, E.H.; Higgins, J.P.T.; et al. Comparative efficacy and acceptability of 21 antidepressant drugs for the acute treatment of adults with major depressive disorder: A systematic review and network meta-analysis. Lancet Lond. Engl. 2018, 391, 1357–1366. [Google Scholar] [CrossRef] [Green Version]
- Zhu, X.; Han, Y.; Du, J.; Liu, R.; Jin, K.; Yi, W. Microbiota-gut-brain axis and the central nervous system. Oncotarget 2017, 8, 53829–53838. [Google Scholar] [CrossRef] [Green Version]
- Fond, G.; Chevalier, G.; Eberl, G.; Leboyer, M. The potential role of microbiota in major psychiatric disorders: Mechanisms, preclinical data, gastro-intestinal comorbidities and therapeutic options. Presse Med. Paris Fr. 1983 2016, 45, 7–19. [Google Scholar]
- Campos, A.C.; Rocha, N.P.; Nicoli, J.R.; Vieira, L.Q.; Teixeira, M.M.; Teixeira, A.L. Absence of gut microbiota influences lipopolysaccharide-induced behavioral changes in mice. Behav. Brain Res. 2016, 312, 186–194. [Google Scholar] [CrossRef]
- Severance, E.G.; Prandovszky, E.; Castiglione, J.; Yolken, R.H. Gastroenterology issues in schizophrenia: Why the gut matters. Curr. Psychiatry Rep. 2015, 17, 27. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Severance, E.G.; Gressitt, K.L.; Stallings, C.R.; Origoni, A.E.; Khushalani, S.; Leweke, F.M.; Dickerson, F.B.; Yolken, R.H. Discordant patterns of bacterial translocation markers and implications for innate immune imbalances in schizophrenia. Schizophr. Res. 2013, 148, 130–137. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Fond, G.; Lançon, C.; Auquier, P.; Boyer, L. C-reactive protein as a peripheral biomarker in schizophrenia. An updated systematic review. Front. Psychiatry 2018, 9, 392. [Google Scholar] [CrossRef] [PubMed]
- Rowland, L.M.; Demyanovich, H.K.; Wijtenburg, S.A.; Eaton, W.W.; Rodriguez, K.; Gaston, F.; Cihakova, D.; Talor, M.V.; Liu, F.; McMahon, R.R.; et al. Antigliadin antibodies (AGA IgG) are related to neurochemistry in schizophrenia. Front. Psychiatry 2017, 8, 104. [Google Scholar] [CrossRef] [Green Version]
- Rook, G.A.W.; Raison, C.L.; Lowry, C.A. Microbiota, immunoregulatory old friends and psychiatric disorders. Adv. Exp. Med. Biol. 2014, 817, 319–356. [Google Scholar]
- Rodrigues-Amorim, D.; Rivera-Baltanás, T.; Regueiro, B.; Spuch, C.; de Las Heras, M.E.; Vázquez-Noguerol Méndez, R.; Nieto-Araujo, M.; Barreiro-Villar, C.; Olivares, J.M.; Agís-Balboa, R.C. The role of the gut microbiota in schizophrenia: Current and future perspectives. World J. Biol. Psychiatry Off. J. World Fed. Soc. Biol. Psychiatry 2018, 19, 571–585. [Google Scholar] [CrossRef]
- Schwarz, E.; Maukonen, J.; Hyytiäinen, T.; Kieseppä, T.; Orešič, M.; Sabunciyan, S.; Mantere, O.; Saarela, M.; Yolken, R.; Suvisaari, J. Analysis of microbiota in first episode psychosis identifies preliminary associations with symptom severity and treatment response. Schizophr. Res. 2018, 192, 398–403. [Google Scholar] [CrossRef] [Green Version]
- Shen, Y.; Xu, J.; Li, Z.; Huang, Y.; Yuan, Y.; Wang, J.; Zhang, M.; Hu, S.; Liang, Y. Analysis of gut microbiota diversity and auxiliary diagnosis as a biomarker in patients with schizophrenia: A cross-sectional study. Schizophr. Res. 2018, 197, 470–477. [Google Scholar] [CrossRef]
- Godin, O.; Leboyer, M.; Gaman, A.; Aouizerate, B.; Berna, F.; Brunel, L.; Capdevielle, D.; Chereau, I.; Dorey, J.M.; Dubertret, C.; et al. Metabolic syndrome, abdominal obesity and hyperuricemia in schizophrenia: Results from the FACE-SZ cohort. Schizophr. Res. 2015, 168, 388–394. [Google Scholar] [CrossRef]
- Fond, G.; Godin, O.; Boyer, L.; Berna, F.; Andrianarisoa, M.; Coulon, N.; Brunel, L.; Bulzacka, E.; Aouizerate, B.; Capdevielle, D.; et al. Chronic low-grade peripheral inflammation is associated with ultra resistant schizophrenia. Results from the FACE-SZ cohort. Eur. Arch. Psychiatry Clin. Neurosci. 2018, 269, 985–992. [Google Scholar] [CrossRef]
- Fond, G.; Resseguier, N.; Schürhoff, F.; Godin, O.; Andrianarisoa, M.; Brunel, L.; Bulzacka, E.; Aouizerate, B.; Berna, F.; Capdevielle, D.; et al. Relationships between low-grade peripheral inflammation and psychotropic drugs in schizophrenia: Results from the national FACE-SZ cohort. Eur. Arch. Psychiatry Clin. Neurosci. 2017, 268, 541–553. [Google Scholar] [CrossRef] [PubMed]
- Fond, G.; Berna, F.; Andrianarisoa, M.; Godin, O.; Leboyer, M.; Brunel, L.; Aouizerate, B.; Capdevielle, D.; Chereau, I.; D’Amato, T.; et al. Chronic low-grade peripheral inflammation is associated with severe nicotine dependence in schizophrenia: Results from the national multicentric FACE-SZ cohort. Eur. Arch. Psychiatry Clin. Neurosci. 2017, 267, 465–472. [Google Scholar] [CrossRef] [PubMed]
- Fond, G.; Godin, O.; Brunel, L.; Aouizerate, B.; Berna, F.; Bulzacka, E.; Capdevielle, D.; Chereau, I.; Dorey, J.M.; Dubertret, C.; et al. Peripheral sub-inflammation is associated with antidepressant consumption in schizophrenia. Results from the multi-center FACE-SZ data set. J. Affect. Disord. 2016, 191, 209–215. [Google Scholar] [CrossRef] [PubMed]
- Faugere, M.; Micoulaud-Franchi, J.-A.; Faget-Agius, C.; Lançon, C.; Cermolacce, M.; Richieri, R. High C-reactive protein levels are associated with depressive symptoms in schizophrenia. J. Affect. Disord. 2018, 225, 671–675. [Google Scholar] [CrossRef] [PubMed]
- Moher, D.; Liberati, A.; Tetzlaff, J.; Altman, D.G. PRISMA Group Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. Br. Med. J. 2009, 339, b2535. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Fond, G.; Loundou, A.; Hamdani, N.; Boukouaci, W.; Dargel, A.; Oliveira, J.; Roger, M.; Tamouza, R.; Leboyer, M.; Boyer, L. Anxiety and depression comorbidities in irritable bowel syndrome (IBS): A systematic review and meta-analysis. Eur. Arch. Psychiatry Clin. Neurosci. 2014, 264, 651–660. [Google Scholar] [CrossRef] [PubMed]
- Peter, J.; Fournier, C.; Durdevic, M.; Knoblich, L.; Keip, B.; Dejaco, C.; Trauner, M.; Moser, G. A Microbial signature of psychological distress in irritable bowel syndrome. Psychosom. Med. 2018, 80, 698–709. [Google Scholar] [CrossRef]
- Kelly, J.R.; Borre, Y.; O’ Brien, C.; Patterson, E.; El Aidy, S.; Deane, J.; Kennedy, P.J.; Beers, S.; Scott, K.; Moloney, G.; et al. Transferring the blues: Depression-associated gut microbiota induces neurobehavioural changes in the rat. J. Psychiatr. Res. 2016, 82, 109–118. [Google Scholar] [CrossRef]
- Naseribafrouei, A.; Hestad, K.; Avershina, E.; Sekelja, M.; Linløkken, A.; Wilson, R.; Rudi, K. Correlation between the human fecal microbiota and depression. Neurogastroenterol. Motil. Off. J. Eur. Gastrointest. Motil. Soc. 2014, 26, 1155–1162. [Google Scholar] [CrossRef]
- Kleiman, S.C.; Watson, H.J.; Bulik-Sullivan, E.C.; Huh, E.Y.; Tarantino, L.M.; Bulik, C.M.; Carroll, I.M. The intestinal microbiota in acute anorexia nervosa and during renourishment: Relationship to depression, anxiety, and eating disorder psychopathology. Psychosom. Med. 2015, 77, 969–981. [Google Scholar] [CrossRef] [Green Version]
- Liu, Y.; Zhang, L.; Wang, X.; Wang, Z.; Zhang, J.; Jiang, R.; Wang, X.; Wang, K.; Liu, Z.; Xia, Z.; et al. Similar fecal microbiota signatures in patients with diarrhea-predominant irritable bowel syndrome and patients with depression. Clin. Gastroenterol. Hepatol. Off. Clin. Pract. J. Am. Gastroenterol. Assoc. 2016, 14, 1602–1611. [Google Scholar] [CrossRef] [PubMed]
- Jiang, H.; Ling, Z.; Zhang, Y.; Mao, H.; Ma, Z.; Yin, Y.; Wang, W.; Tang, W.; Tan, Z.; Shi, J.; et al. Altered fecal microbiota composition in patients with major depressive disorder. Brain. Behav. Immun. 2015, 48, 186–194. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Chen, J.-J.; Zheng, P.; Liu, Y.-Y.; Zhong, X.-G.; Wang, H.-Y.; Guo, Y.-J.; Xie, P. Sex differences in gut microbiota in patients with major depressive disorder. Neuropsychiatr. Dis. Treat. 2018, 14, 647–655. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Chen, Z.; Li, J.; Gui, S.; Zhou, C.; Chen, J.; Yang, C.; Hu, Z.; Wang, H.; Zhong, X.; Zeng, L.; et al. Comparative metaproteomics analysis shows altered fecal microbiota signatures in patients with major depressive disorder. Neuroreport 2018, 29, 417–425. [Google Scholar] [CrossRef] [PubMed]
- Mason, B.L.; Li, Q.; Minhajuddin, A.; Czysz, A.H.; Coughlin, L.A.; Hussain, S.K.; Koh, A.Y.; Trivedi, M.H. Reduced anti-inflammatory gut microbiota are associated with depression and anhedonia. J. Affect. Disord. 2020, 266, 394–401. [Google Scholar] [CrossRef] [PubMed]
- Madan, A.; Thompson, D.; Fowler, J.C.; Ajami, N.J.; Salas, R.; Frueh, B.C.; Bradshaw, M.R.; Weinstein, B.L.; Oldham, J.M.; Petrosino, J.F. The gut microbiota is associated with psychiatric symptom severity and treatment outcome among individuals with serious mental illness. J. Affect. Disord. 2020, 264, 98–106. [Google Scholar] [CrossRef]
- Lin, P.; Ding, B.; Feng, C.; Yin, S.; Zhang, T.; Qi, X.; Lv, H.; Guo, X.; Dong, K.; Zhu, Y.; et al. Prevotella and Klebsiella proportions in fecal microbial communities are potential characteristic parameters for patients with major depressive disorder. J. Affect. Disord. 2017, 207, 300–304. [Google Scholar] [CrossRef]
- Ng, Q.X.; Soh, A.Y.S.; Venkatanarayanan, N.; Ho, C.Y.X.; Lim, D.Y.; Yeo, W.-S. A systematic review of the effect of probiotic supplementation on schizophrenia symptoms. Neuropsychobiology 2019, 78, 1–6. [Google Scholar] [CrossRef]
- Kiecolt-Glaser, J.K.; Wilson, S.J.; Bailey, M.L.; Andridge, R.; Peng, J.; Jaremka, L.M.; Fagundes, C.P.; Malarkey, W.B.; Laskowski, B.; Belury, M.A. Marital distress, depression, and a leaky gut: Translocation of bacterial endotoxin as a pathway to inflammation. Psychoneuroendocrinology 2018, 98, 52–60. [Google Scholar] [CrossRef]
- Liu, R.T.; Walsh, R.F.L.; Sheehan, A.E. Prebiotics and probiotics for depression and anxiety: A systematic review and meta-analysis of controlled clinical trials. Neurosci. Biobehav. Rev. 2019, 102, 13–23. [Google Scholar] [CrossRef]
- Lagier, J.-C.; Raoult, D. Fecal microbiota transplantation: Indications and perspectives. Med. Sci. M/S 2016, 32, 991–997. [Google Scholar]
- Lagier, J.-C.; Million, M.; Raoult, D. Bouillabaisse or fish soup: The Limitations of meta-analysis confronted to the inconsistency of fecal microbiota transplantation studies. Clin. Infect. Dis. Off. Publ. Infect. Dis. Soc. Am. 2019. [Google Scholar] [CrossRef] [PubMed]
- Kump, P.K.; Krause, R.; Allerberger, F.; Högenauer, C. Faecal microbiota transplantation--the Austrian approach. Clin. Microbiol. Infect. Off. Publ. Eur. Soc. Clin. Microbiol. Infect. Dis. 2014, 20, 1106–1111. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Cui, B.; Feng, Q.; Wang, H.; Wang, M.; Peng, Z.; Li, P.; Huang, G.; Liu, Z.; Wu, P.; Fan, Z.; et al. Fecal microbiota transplantation through mid-gut for refractory Crohn’s disease: Safety, feasibility, and efficacy trial results. J. Gastroenterol. Hepatol. 2015, 30, 51–58. [Google Scholar] [CrossRef]
- Hocquart, M.; Lagier, J.-C.; Cassir, N.; Saidani, N.; Eldin, C.; Kerbaj, J.; Delord, M.; Valles, C.; Brouqui, P.; Raoult, D.; et al. Early fecal microbiota transplantation improves survival in severe clostridium difficile infections. Clin. Infect. Dis. Off. Publ. Infect. Dis. Soc. Am. 2018, 66, 645–650. [Google Scholar] [CrossRef]
- Van Nood, E.; Vrieze, A.; Nieuwdorp, M.; Fuentes, S.; Zoetendal, E.G.; de Vos, W.M.; Visser, C.E.; Kuijper, E.J.; Bartelsman, J.F.W.M.; Tijssen, J.G.P.; et al. Duodenal infusion of donor feces for recurrent Clostridium difficile. N. Engl. J. Med. 2013, 368, 407–415. [Google Scholar] [CrossRef] [Green Version]
- Austin, M.; Mellow, M.; Tierney, W.M. Fecal microbiota transplantation in the treatment of Clostridium difficile infections. Am. J. Med. 2014, 127, 479–483. [Google Scholar] [CrossRef]
- Cammarota, G.; Masucci, L.; Ianiro, G.; Bibbò, S.; Dinoi, G.; Costamagna, G.; Sanguinetti, M.; Gasbarrini, A. Randomised clinical trial: Faecal microbiota transplantation by colonoscopy vs. vancomycin for the treatment of recurrent Clostridium difficile infection. Aliment. Pharmacol. Ther. 2015, 41, 835–843. [Google Scholar] [CrossRef]
- Li, Y.-T.; Cai, H.-F.; Wang, Z.-H.; Xu, J.; Fang, J.-Y. Systematic review with meta-analysis: Long-term outcomes of faecal microbiota transplantation for Clostridium difficile infection. Aliment. Pharmacol. Ther. 2016, 43, 445–457. [Google Scholar] [CrossRef] [Green Version]
- Paramsothy, S.; Kamm, M.A.; Kaakoush, N.O.; Walsh, A.J.; van den Bogaerde, J.; Samuel, D.; Leong, R.W.L.; Connor, S.; Ng, W.; Paramsothy, R.; et al. Multidonor intensive faecal microbiota transplantation for active ulcerative colitis: A randomised placebo-controlled trial. Lancet 2017, 389, 1218–1228. [Google Scholar] [CrossRef]
- Costello, S.P.; Hughes, P.A.; Waters, O.; Bryant, R.V.; Vincent, A.D.; Blatchford, P.; Katsikeros, R.; Makanyanga, J.; Campaniello, M.A.; Mavrangelos, C.; et al. Effect of fecal microbiota transplantation on 8-week remission in patients with ulcerative colitis: A randomized clinical trial. JAMA 2019, 321, 156–164. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Johnsen, P.H.; Hilpüsch, F.; Cavanagh, J.P.; Leikanger, I.S.; Kolstad, C.; Valle, P.C.; Goll, R. Faecal microbiota transplantation versus placebo for moderate-to-severe irritable bowel syndrome: A double-blind, randomised, placebo-controlled, parallel-group, single-centre trial. Lancet Gastroenterol. Hepatol. 2018, 3, 17–24. [Google Scholar] [CrossRef]
- Wang, S.; Xu, M.; Wang, W.; Cao, X.; Piao, M.; Khan, S.; Yan, F.; Cao, H.; Wang, B. Systematic review: Adverse events of fecal microbiota transplantation. PLoS ONE 2016, 11, e0161174. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Flint, H.J. Obesity and the gut microbiota. J. Clin. Gastroenterol. 2011, 45, S128–S132. [Google Scholar] [CrossRef] [PubMed]
- Rao, K.; Young, V.B.; Malani, P.N. Capsules for fecal microbiota transplantation in recurrent clostridium difficile Infection: The new way forward or a tough pill to swallow? JAMA 2017, 318, 1979–1980. [Google Scholar] [CrossRef]
- Kao, D.; Roach, B.; Silva, M.; Beck, P.; Rioux, K.; Kaplan, G.G.; Chang, H.-J.; Coward, S.; Goodman, K.J.; Xu, H.; et al. Effect of oral capsule- vs colonoscopy-delivered fecal microbiota transplantation on recurrent clostridium difficile infection: A randomized clinical trial. JAMA 2017, 318, 1985–1993. [Google Scholar] [CrossRef] [Green Version]
- Staley, C.; Hamilton, M.J.; Vaughn, B.P.; Graiziger, C.T.; Newman, K.M.; Kabage, A.J.; Sadowsky, M.J.; Khoruts, A. Successful resolution of recurrent clostridium difficile infection using freeze-dried, encapsulated fecal microbiota; pragmatic cohort study. Am. J. Gastroenterol. 2017, 112, 940–947. [Google Scholar] [CrossRef] [Green Version]
Author/Date | Sample Size and Study Population (N) | Techniques | Major Findings | Interpretation |
---|---|---|---|---|
Fond et al. 2014 [37] | 10 studies (885 patients and 1384 HCs) | Meta-analysis | Patients with IBS had significant higher anxiety and depression levels than controls (respectively, SMD = 0.76, 95% CI 0.47; 0.69, p < 0.01, I2 = 81.7% and SMD = 0.80, 95% CI 0.42; 1.19, p < 0.01, I2 = 90.7%). This significant difference was confirmed for patients with IBS-C and -D subtypes for anxiety, and only in IBS-D patients for depression. | Patients with IBS had significantly higher levels of anxiety and depression than HCs. |
Liu et al. 2019 [51] | 29 studies involving 3088 participants | Meta-analysis | Prebiotics did not differ from placebo for depression (d = −0.08, p = 0.51) or anxiety (d = 0.12, p = 0.11). Probiotics yielded small but significant effects for depression (d = −0.24, p < 0.01) and anxiety (d = −0.10, p = 0.03). Sample type was a moderator for probiotics and depression, with a larger effect observed for clinical/medical samples (d = −0.45, p < 0.001) than community ones. This effect increased to medium-to-large in a preliminary analysis restricted to psychiatric samples (d = −0.73, p < 0.001). | There is general support for antidepressant and anxiolytic effects of probiotics, but the pooled effects were reduced by the paucity of trials with clinical samples. |
Ng et al. 2019 [49] | 3 studies | Meta-analysis | No significant difference in schizophrenia symptoms between the group that received probiotic supplementation and the placebo group post-intervention as the standardized mean difference was -0.0884 (95% CI -0.380 to 0.204, p = 0.551). Separate analyses were performed to investigate the effect of probiotic supplementation on positive or negative symptoms of schizophrenia alone. In both instances, no significant difference was observed as well. | Based on current evidence, limited inferences can be made regarding the efficacy of probiotics in schizophrenia |
Kiecolt-Glaser et al. 2018 [50] | 43 (N = 86) healthy married couples, ages 24–61 (mean = 38.22) | Translocation of bacterial endotoxin (lipopolysaccharide, LPS) from the gut microbiota | Participants with more hostile marital interactions had higher LPS-binding protein (LBP) than those who were less hostile. Additionally, the combination of more hostile marital interactions with a mood disorder history was associated with higher LBP/sCD14 ratios. | The combination of more hostile marital interactions with a mood disorder history was associated with higher LBP/sCD14 ratios. |
Chen et al. 2018 [44,45] | 10 patients (age: 18–56 years, five women) who had MDD and 10 HCs (age: 24–65 years, five women) matched for sex, age, and BMI | Comparative metaproteomics analysis on the basis of an isobaric tag for relative and absolute quantification coupled with tandem mass spectrometry | 279 significantly differentiated bacterial proteins (p < 0.05) were detected and used for further bioinformatic analysis. According to phylogenetic analysis, statistically significant differences were observed for four phyla: Bacteroidetes, Proteobacteria, Firmicutes, Actinobacteria (p < 0.05, for each). Abundances of 16 bacterial families were significantly different between the MDD and healthy controls (p < 0.05). Cluster of Orthologous Groups analysis and Kyoto Encyclopedia of Genes and Genomes pathway analysis showed that disordered metabolic pathways of bacterial proteins were mainly involved in glucose metabolism and amino acid metabolism. | Fecal microbiota signatures were altered significantly in MDD patients. |
Peter et al. 2018 [38] | 48 patients with IBS (Rome III criteria, M (SD) age = 42 (15) years, 35 female, 25 diarrhea-dominant, 5 constipation-dominant, and 18 alternating-type IBS) | alpha and beta diversity, correlational analyses of bacterial abundance and comparisons among subgroups defined by thresholds of psychological and IBS symptom variables, and machine learning to identify bacterial patterns corresponding with psychological distress. | Thirty-one patients (65%) showed elevated psychological distress, 22 (31%) anxiety, and 10 depression (21%). Microbial beta diversity was significantly associated with distress and depression (q = 0.036 each, q values are p values false discovery rate-corrected for multiple testing). Depression was negatively associated with Lachnospiraceae abundance (Spearman’s ρ = −0.58, q = 0.018). Patients exceeding thresholds of distress, anxiety, depression, and stress perception showed significantly higher abundances of Proteobacteria (q = 0.020–0.036). Patients with anxiety were characterized by elevated Bacteroidaceae (q = 0.036). A signature of 148 unclassified species accounting for 3.9% of total bacterial abundance co-varied systematically with the presence of psychological distress. | Psychological variables significantly segregated gut microbial features, underscoring the role of brain-gut-microbiota interaction in IBS. A microbial signature corresponding with psychological distress was identified. |
Kelly et al. 2016 [39] | 34 MDD patients and 33 matched HCs | 16s rRNA sequencing | Chao1 richness (U = 424, p = 0.005), total observed species (U = 441, p = 0.002) and phylogenetic diversity (U = 447.5, p = 0.001) were decreased in the depressed group. was no difference in Shannon diversity (U = 350, p = 0.197). Significant differences in beta diversity between the healthy and depressed groups (Bray-Curtis (p = 0.014), unweighted unifrac (p = 0.002) and weighted unifrac (p = 0.018) were unable to separate groups according to PCoA analysis). The difference of the global microbiota composition from the 16S rRNA data of the depressed and control groups was assessed by ordination. Statistics based on random permutations of the redundancy analysis (RDA) showed that the depressed group is significantly separated at genus level (p = 0.03) from the control group. No difference on intestinal permeability, short chain fatty acids, fecal metabolites has been reported. | Depression is associated with decreased gut microbiota richness and diversity |
Lin et al. 2017 [48] | N = 10 MDD | V3–V4 region of the 16S rRNA gene was extracted from the fecal microbial communities in MDD patients, PCR amplified and sequenced on the Illumina Miseq platform | More phylum Firmicutes, less Bacteroidetes, and more genus Prevotella, Klebsiella, Streptococcus and Clostridium XI were found in MDD patients. The changes of the proportion of Prevotella and Klebsiella were consistent with Hamilton depression rating scale. | Prevotella and Klebsiella proportion in fecal microbial communities should be concerned in the diagnosis and therapeutic monitoring of MDD in future. |
Liu et al. 2016 [42] | N = 100 40 with diarrhea-predominant IBS (IBS-D), 15 with depression, 25 with comorbidities of depression and IBS patients, and 20 healthy individuals (controls) | Colonic mucosal inflammation was assayed by immunohistochemical analyses of sigmoid biopsied tissues | Fecal microbiota signatures were similar between patients with IBS-D and depression presented, in that they were less diverse than samples from controls and had similar abundances of alterations. were characterized by high proportions of Bacteroides (Type I), Prevotella (Type II), or non-dominant microbiota (Type III). Most patients with IBS-D or depression had Type I or Type II profiles (IBS-D had 85% Type I and Type II, depression had 80% Type I and Type II profiles). | Patients with IBS-D and depression have similar alterations in fecal microbiota; these might be related to the pathogenesis of these disorders. 3 microbial profiles in patients could indicate different subtypes of IBS and depression or be used as diagnostic biomarkers |
Jiang et al. 2015 [43] | 46 patients with depression (29 active-MDD and 17 responded-MDD) and 30 healthy controls (HCs). | high-throughput pyrosequencing | Increased fecal bacterial α-diversity was found in the active-MDD (a-MDD) vs. the HC group but not in the responded-MDD (R-MDD) vs. the HC group. Bacteroidetes, Proteobacteria, and Actinobacteria strongly increased in level, whereas that of Firmicutes was significantly reduced in the A-MDD and R-MDD groups compared with the HC group. Despite profound interindividual variability, levels of several predominant genera were significantly different between the MDD and HC groups. Most notably, the MDD groups had increased levels of Enterobacteriaceae and Alistipes but reduced levels of Faecalibacterium. A negative correlation was observed between Faecalibacterium and the severity of depressive symptoms. | These findings enable a better understanding of changes in the fecal microbiota composition in such patients, showing either a predominance of some potentially harmful bacterial groups or a reduction in beneficial bacterial genera. |
Kleiman et al. 2015 [41] | Inpatients with anorexia nervosa at admission (T1; n = 16) and discharge (T2; n = 10). Patients with anorexia nervosa were compared with healthy individuals who participated in a previous study (HCs). | Genomic DNA was isolated from stool samples, and bacterial composition was characterized by 454 pyrosequencing of the 16S rRNA gene. | Significant changes emerged between T1 and T2 in taxa abundance and beta (between-sample) diversity of patients with anorexia nervosa. Patients with anorexia nervosa had significantly lower alpha (within-sample) diversity than did HCs at both T1 (p = 0.0001) and T2 (p = 0.016), and differences in taxa abundance were found between anorexia nervosa patients and HCs. | There was evidence of an intestinal dysbiosis in anorexia nervosa and an association between mood and the enteric microbiota in this patient population |
Madan et al. 2020 [47] | Adult MDD inpatients (N = 111) | 16S rRNA gene sequencing and whole genome shotgun sequencing | Depression and anxiety severity shortly after admission were negatively associated with bacterial richness and alpha diversity. Additional analyses revealed a number of bacterial taxa associated with depression and anxiety severity. Gut microbiota richness and alpha diversity early in the course of hospitalization was a significant predictor of depression remission at discharge. | There is a gut microbiota relationship with symptom severity among MDD inpatients as well as a relationship to remission of depression post-treatment. |
Mason et al. 2020 [46] | N = 70 (60 psychiatric subjects; MDD (comorbid with anxiety), n = 38, anxiety only, n = 8, MDD only without anxiety, n = 14, HCs n = 10 | Quantitative PCR and 16S rRNA sequencing | Altered microbiota correlated with pre-defined clinical presentation, with Bacteroides (p = 0.011) and the Clostridium leptum subgroup (p = 0.023) significantly different between clinical categories. Cluster analysis of the total sample using weighted UniFrac β-diversity of the gut microbiota identified two different clusters defined by differences in bacterial distribution. Cluster 2 had higher Bacteroides (p = 0.006), and much reduced presence of Clostridales (p < 0.001) compared to Cluster 1. Bifidobacterium (p = 0.0173) was also reduced in Cluster 2 compared to Cluster 1. When evaluated for clinical charateristics, anhedonia scores in Cluster 2 were higher than in Cluster 1. | Reduced or absent Clostridia was consistently seen in those with depression, independent of the presence of anxiety. Conversely, reduced Bacteroides may be more associated with the presence of anxiety, independent of the presence of depression. |
Naseribafrouei et al., 2014 [40] | N = 55 (37 MDD, and 18 HCs) | Illumina deep sequencing of 16S rRNA gene amplicons | The order Bacteroidales showed an overrepresentation (p = 0.05), while the family Lachnospiraceae showed an underrepresentation (p = 0.02) of Operational Taxonomic Units associated with depression. | Several correlations were found between depression and fecal microbiota. |
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Fond, G.B.; Lagier, J.-C.; Honore, S.; Lancon, C.; Korchia, T.; Verville, P.-L.S.D.; Llorca, P.-M.; Auquier, P.; Guedj, E.; Boyer, L. Microbiota-Orientated Treatments for Major Depression and Schizophrenia. Nutrients 2020, 12, 1024. https://doi.org/10.3390/nu12041024
Fond GB, Lagier J-C, Honore S, Lancon C, Korchia T, Verville P-LSD, Llorca P-M, Auquier P, Guedj E, Boyer L. Microbiota-Orientated Treatments for Major Depression and Schizophrenia. Nutrients. 2020; 12(4):1024. https://doi.org/10.3390/nu12041024
Chicago/Turabian StyleFond, Guillaume B., Jean-Christophe Lagier, Stéphane Honore, Christophe Lancon, Théo Korchia, Pierre-Louis Sunhary De Verville, Pierre-Michel Llorca, Pascal Auquier, Eric Guedj, and Laurent Boyer. 2020. "Microbiota-Orientated Treatments for Major Depression and Schizophrenia" Nutrients 12, no. 4: 1024. https://doi.org/10.3390/nu12041024
APA StyleFond, G. B., Lagier, J. -C., Honore, S., Lancon, C., Korchia, T., Verville, P. -L. S. D., Llorca, P. -M., Auquier, P., Guedj, E., & Boyer, L. (2020). Microbiota-Orientated Treatments for Major Depression and Schizophrenia. Nutrients, 12(4), 1024. https://doi.org/10.3390/nu12041024