| Literature DB >> 32009871 |
Shin Jie Yong1, Tommy Tong1, Jactty Chew1, Wei Ling Lim1.
Abstract
The accumulating knowledge of the host-microbiota interplay gives rise to the microbiota-gut-brain (MGB) axis. The MGB axis depicts the interkingdom communication between the gut microbiota and the brain. This communication process involves the endocrine, immune and neurotransmitters systems. Dysfunction of these systems, along with the presence of gut dysbiosis, have been detected among clinically depressed patients. This implicates the involvement of a maladaptive MGB axis in the pathophysiology of depression. Depression refers to symptoms that characterize major depressive disorder (MDD), a mood disorder with a disease burden that rivals that of heart diseases. The use of probiotics to treat depression has gained attention in recent years, as evidenced by increasing numbers of animal and human studies that have supported the antidepressive efficacy of probiotics. Physiological changes observed in these studies allow for the elucidation of probiotics antidepressive mechanisms, which ultimately aim to restore proper functioning of the MGB axis. However, the understanding of mechanisms does not yet complete the endeavor in applying probiotics to treat MDD. Other challenges remain which include the heterogeneous nature of both the gut microbiota composition and depressive symptoms in the clinical setting. Nevertheless, probiotics offer some advantages over standard pharmaceutical antidepressants, in terms of residual symptoms, side effects and stigma involved. This review outlines antidepressive mechanisms of probiotics based on the currently available literature and discusses therapeutic potentials of probiotics for depression.Entities:
Keywords: gut microbiota; inflammation; major depressive disorder; microbiota-gut-brain axis; probiotics
Year: 2020 PMID: 32009871 PMCID: PMC6971226 DOI: 10.3389/fnins.2019.01361
Source DB: PubMed Journal: Front Neurosci ISSN: 1662-453X Impact factor: 4.677
The neurotransmitters produced by probiotics and their regulatory functions.
| Gamma-aminobutyric acid (GABA) | • Hippocampal neurogenesis | ||
| Serotonin (5-HT) | • Impulsivity | ||
| Dopamine (DA) | • Motivation | ||
| Norepinephrine (NE) | • Aggression | ||
| Glutamate (Glu) | • Gastrointestinal reflexes | ||
| Histamine | • Motivation | ||
| Acetylcholine (ACh) | • Cognition |
FIGURE 1The maladaptive microbiota–gut–brain (MGB) axis in the pathophysiology of depression. Chronic exposure to stressors (e.g., psychological, poor nutrition) triggers prolonged release of (1) norepinephrine that alters gut microbiota composition by shifting to one that is enriched with pathogenic bacteria, and (2) acetylcholine and glucocorticoids that increase intestinal barrier permeability. The increased intestinal permeability allows bacteria and their toxins to enter systemic circulation, triggering stress responses from the HPA axis and immune system that, when excessive; (3) leads to chronic inflammation and HPA axis overactivity; (4) aggravate intestinal permeability; (5) alter composition of gut microbiota; and (6) disrupt neurotransmitter systems. Altered gut microbiota also results in an inflamed gut and (7) a shift in the production of bioactive molecules that regulate host neurotransmitter systems and gut motor functions. As a proof of concept, these five factors (in the circle) that depict the maladaptive MGB axis are often detected in MDD patients. Lastly, the constant negative emotions displayed by depressed patients further trigger a stronger reaction or sensitivity to various stressors.
FIGURE 2Signaling mechanisms underlying antidepressive effects of probiotics mediated through secretion of (A) Neurotransmitters: L. rhamnosus and L. casei secrete GABA that may signal central GABAergic system and HPA axis via the neural route. L. brevis secretes GABA that enhances sleep. L. helveticus secrete 5-HT that may signal the central 5-HT system via the neural route. L helveticus also secretes NE that may affect the central NE system. L. reuteri secretes histamine that decreases secretion of proinflammatory cytokines by IECs. This may reduce circulating inflammatory markers, such as LPS, IL-6 and corticosterone, and subsequently prevent the inflammation-induced decrease in hippocampal BDNF. (B) Butyrate: L. plantarum produces butyrate that strengthens intestinal barrier and diffuses through the circulation to regulate BDNF expression and reduce inflammation in the brain. The latter consequently regulates the HPA axis and its regulator, the DA system. C. butyricum produces butyrate that influences central 5-HT and BDNF systems and stimulates L cell to secrete GLP-1 into the bloodstream which increases expression of GLP-1 receptors. F. prausnitzii produces butyrate that strengthens the intestinal barrier. B. infantis and L. paracasei promote growth of butyrate-producing bacteria. Through butyrate, B. infantis upregulates Tph1 activity of EC which increases circulating 5-HT and strengthens intestinal barrier to lower IDO activity and increase circulating TRP, both of which affect the central 5-HT system and BDNF expression. Through butyrate, L. paracasei may influence the central 5-HT system and BDNF expression. (C) Bacterial secreted proteins: L. gasseri secretes gassericins that increase parasympathetic activity to facilitate sleep and improves gut microbiota composition. B. longum secretes serpins that alter neural activities in the brain via the neural route. L. paracasei secretes lactocepins that decrease proinflammatory chemokines in IECs. This lowers IDO activity which, in turn, affects the central 5-HT system and BDNF expression. (D) Other bioactive molecules: B. infantis secretes bioactive factors (likely polysaccharides) that decrease circulating IL-6 which affects the central NE system. L. reuteri secretes H2O2 that decreases IDO activity and circulating KYN, and dgk that inhibits the initiation of proinflammatory pathways. B. breve converts albiflorin into BZA which affects the Glu system via the humoral route. L. kefiranofaciens secretes exopolysaccharides that have immunomodulatory and antibacterial properties, which may potentially prevent HPA axis overactivity. 5-HT, 5-hydroxytryptamine or serotonin; BDNF, brain-derived neurotrophic factor; DA, dopamine; BZA, benzoic acids; dgk, diacylglycerol kinase; ECs, enterochromaffin cells; EPS, exopolysaccharide; GABA, gamma-Aminobutyric acid; GLP-1, glucagon-like peptide-1; Glu, glutamate or glutaminergic; H2O2, hydrogen peroxide; HPA, hypothalamic-pituitary-adrenal; IECs, intestinal epithelial cells; IDO, indoleamine 2,3-dioxygenase; IL-6, interleukin-6; KYN, kynurenine; NE, norepinephrine; LPS, lipopolysaccharides; Tph1, tryptophan hydroxylase 1; TRP, tryptophan.
Selected preclinical and clinical studies on the behavioral and physiological effects of single-species probiotics.
| Normal, healthy BALB/c male mice | ↓ Anxiety | ↓ Stress-induced | ||
| BALB/c male mice subjected to MS | ↓ Depression | ↓ Stress-induced | ||
| Healthy human males (aged 22–33, mean ≈ 23–25 years) | No effect on mood and anxiety | No changes in cortisol response to stress, plasma levels of IL10, IL1β, IL6, IL8 and TNFα, and whole blood levels of TLR-4 | ||
| Pregnant women (14–16 weeks gestation) | ↓ Anxiety | N/A | ||
| (With prebiotics) Obese individuals (aged 18–55, mean ≈ 35–58 years) | ↓ Depression | N/A | ||
| Healthy middle-age human adults (aged 48–79, mean ≈ 62 years) | ↓ Depression in those with low mood | N/A | ||
| Individuals with chronic fatigue syndrome (aged 18–65 years) | ↓ Anxiety No effect on depression | ↑ Fecal | ||
| Healthy students under stressful examination (aged < 40, mean ≈ 23 years) | ↓ Stressful feelings No effect on anxiety | ↓ Salivary cortisol levels | ||
| Sprague–Dawley male depressed rats | ↓ Depression | N/A | ||
| ICR male mice | ↑ Sleep duration | N/A | ||
| C3H-HeN male mice | ↑ Sleep duration | N/A | ||
| C57BL/6J, C57BL/6N, and BALB/cJ male mice subjected to CUMS | ↓ Depression | ↓ Stress-induced | ||
| C57BL/6 male mice subjected to immobilization stress | ↓ Anxiety | ↓ Stress-induced | ||
| MS vs. naïve male C57BL/6J mice | ↑ Locomotion In naïve mice: | ↓ Stress-induced | ||
| Germ-free C57BL/6JN male mice | ↓ Anxiety | ↑ 5-HT and DA levels in the striatum, but not the PFC or HPC No effects on serum GR levels | ||
| Swiss albino male mice subjected to CUMS or sleep-deprivation stress | ↓ Anxiety | ↓ Stress-induced | ||
| MDD patients undergoing SSRI medications (mean age ≈ 39 years) | ↑ Memory | ↓ Plasma KYN levels | ||
| Stressed human adults with mild levels of depression (aged 18–60, mean ≈ 31 years) | ↓ Anxiety | ↓ Plasma IFN-γ and TNF-α levels | ||
| Sprague–Dawley male rats subjected to CUMS | ↓ Anxiety | ↓ Stress-induced | ||
| Sprague–Dawley male rats subjected to chronic restraint stress | ↓ Anhedonia | ↓ Stress-induced | ||
| Sprague–Dawley male rats with hyperammonemia-induced neuroinflammation | ↓ Anxiety | ↓ Stress-induced | ||
| C57BL/6J male mice subjected to sub-chronic social defeat stress | ↓ Anhedonia | ↑ Stress-induced | ||
| Healthy elderly humans (aged 60–75, mean ≈ 65 years) | ↑ Memory | No effects on plasma levels of BDNF and whole blood viscosity | ||
| Healthy middle-aged humans (aged 50–70, mean ≈ 58 years) | ↑ Memory | N/A | ||
| CORT-induced depressed male C57BL/6J mice (live or heat-killed | ↓ Depression | ↑ Stress-induced | ||
| Senescence-accelerated female SAMP8 mice (heat-killed | Prevented age-related cognitive decline | ↓ 5-HT-degrading enzymes, particularly MAOA, levels in the HPC | ||
| Senescence-accelerated male and female SAMP8 mice (live | Prevented age-related cognitive decline and anxiety | ↓ Serum TNF-α and MCP-1 levels | ||
| Healthy females under examination stress (heat-killed | Prevented decline in mood and immunity | ↓ Frequency of common cold in those susceptible No effect on salivary secretory IgA concentrations | ||
| Naïve Sprague–Dawley male rats | No effect on depression | ↓ Plasma IFN-γ, TNF-α, IL-10, and IL-6 levels | ||
| Sprague Dawley male rats subjected to MS | ↓ Depression | ↓ Stress-induced | ||
| Male adult C57BL/6J mice subjected to CUMS | ↓ Depression | ↓ Stress-induced | ||
| C57BL/6 male mice subjected to CUMS | ↓ Depression No effect on locomotion | ↑ Stress-induced | ||
| (With SSRIs or SNRIs) Treatment-resistant MDD patients (mean age ≈ 42–44 years) | ↓ Depression | N/A | ||
| Kunming male mice subjected to CUMS | ↓ Depression | ↓ Stress-induced | ||
| Innately anxious BALB/c male mice | ↓ Depression | No effect on CORT levels, both baseline and in response to stress | ||
| Male adult C57BL/6J mice subjected to CUMS | ↓ Depression | ↓ Chronic stress-induced CORT release | ||
| Schizophrenic individuals with anxiety and depression (aged > 20, mean ≈ 41–46) | ↓ Depression | ↑ Relative abundance of Parabacteroides | ||
| Elderly humans with mild cognitive impairment (mean age ≈ 83 years) | ↑ Mood | N/A | ||
| Innately anxious BALB/c male mice | ↓ Depression | No effect on CORT levels, both baseline and in response to stress | ||
| Healthy human males (aged 18–40, mean ≈ 25 years). | ↓ Stress | ↓ Salivary cortisol output and anxiety scores in response to stressor | ||
| IBS patients with mild to moderate depression and/or anxiety (median age = 40 and 46.5 years) | ↓ Depression | ↓ Responses to negative emotional stimuli in the amygdala and fronto–limbic regions | ||
| University male students with daily strenuous exercise (aged < 30, mean ≈ 20 years) | ↑ Mood in depressed individuals | Prevent stress-induced | ||
| Medical (cadaver dissection course) male students (aged 24) | ↓ Depression | ↓ Salivary cortisol release | ||
| Medical (cadaver dissection course) students (heat killed | In men: | ↓ Diarrhoea-like symptoms (in men) | ||
| Medical students in pre-examination (heat-killed | ↓ Sleep latency | ↑ Ratio of parasympathetic/sympathetic nerve activity |