| Literature DB >> 35401095 |
Peifen Zhang1,2, Lingzhuo Kong1, Huimin Huang3, Yanmeng Pan1, Danhua Zhang1, Jiajun Jiang1, Yuting Shen3, Caixi Xi1, Jianbo Lai1,2,4,5, Chee H Ng6, Shaohua Hu1,2,4,5.
Abstract
Bipolar disorder (BD) is one of the major psychiatric disorders that is characterized by recurrent episodes of depression and mania (or hypomania), leading to seriously adverse outcomes with unclear pathogenesis. There is an underlying relationship between bacterial communities residing in the gut and brain function, which together form the gut-brain axis (GBA). Recent studies have shown that changes in the gut microbiota have been observed in a large number of BD patients, so the axis may play a role in the pathogenesis of BD. This review summarizes briefly the relationship between the GBA and brain function, the composition and changes of gut microbiota in patients with BD, and further explores the potential role of GBA-related pathway in the pathogenesis of BD as well as the limitations in this field at present in order to provide new ideas for the future etiology research and drug development.Entities:
Keywords: bipolar disorder; gut microbiota; gut-brain axis; pathogenesis; treatment
Year: 2022 PMID: 35401095 PMCID: PMC8984199 DOI: 10.3389/fnins.2022.830748
Source DB: PubMed Journal: Front Neurosci ISSN: 1662-453X Impact factor: 4.677
FIGURE 1The paradigm of gut-brain axis. The gut-brain axis, referring to the signals’ bidirectional communication between gut microbiota and the brain, is mediated by neuronal, immune, and neuroendocrine pathways. In the gastrointestinal tract, certain gut microbiota can produce neuroactive substances, such as dopamine, serotine and short-chain fatty acids. Signals from abnormal gut microbiota and its metabolites can be sensed and transported by afferent fibers of vagus nerve into the brain. In addition, the integrity of gut barrier is disrupted to form the “leaky gut,” which facilitates gut microbiota-derived components and metabolites to enter the circulatory system. These substances can directly or indirectly activate the immune system to release inflammatory factors. Under the state of immune dysfunction, the permeability of the blood–brain barrier (BBB) is increased. Inflammatory factors and neuroactive substances produced by gut microbiota go through the BBB, leading to neuroinflammatory, activating the hypothalamus-pituitary-adrenal (HPA) axis and disrupting brain functions.
Clinical studies on the relationship between gut microbiota and bipolar disorder (BD).
| Country | Sample size | Gender | Mean age (years) | Sequence | Diversity/abundance | Association/conclusion | References |
| Denmark | • BD: 113 | • BD: 43M/70F | – | 16S rRNA | Alpha-diversity: NA. |
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| • MZA: 7 | • MZA: 18M/53F | Alpha-diversity: ↓ in MZA. | A low relative sequence abundance of unclassified |
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| United States | • BD: 115 | • BD: 32M/83F | • BD: 50.2 ( |
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| • BD: 28 | – | Diversity of | AAP treatment is associated with measurable differences in gut microbiota. |
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| • BD treated with APP (APP): 49. | • APP: 12M/37F. | • APP: 51.7 ( | The species diversity ↓ in AAP-treated females, while | AAP treatment associates with specific representation of gut bacterial families in patients receiving treatment. |
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| Austria | BD: 32 (Depression = 13; Euthymia = 19) | BD: 25M/7F | BD: 41.67 ( | Alpha-diversity: ↓ in depression with BD. | Methylation of ARNTL correlates significantly with bacterial diversity and evenness in BD. |
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| • BD: 32. | • BD: 18M/14F | • BD: 41.31 ( | Alpha-diversity: NA. | A negative correlation between microbial alpha-diversity and illness duration in BD. |
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| BD: 20 | BD: 11M/9F | BD: 51.50 ( | – | A significant improvement of performance concerning attention and psychomotor processing speed measured was observed 1 month as well as 3 months treatment with probiotic supplements. |
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| China | • DA: 1 | • BDA: 1F |
| 16S rRNA | Compared to HCs: ACE and Chao ↓ in acute BD state. | LPS biosynthesis genes were overrepresented in the gut microbiota of the active BD samples. | ( |
| • BD: 52 | • BD: 27M/25F | • BD: 24.15 ( | Alpha-diversity: ↓ in untreated BD. | MADRS scores were negatively correlated with the levels of |
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| BD: 217; | BD: 116M/101F | – | Compared to HCs: alpha-diversity: ↓ in BD. | 26 differential OTUs is identified that can distinguish patients with MDD and BD. |
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| BD: 30 | BD: 15M/15F | BD: 38.40 | SMS | Compared to HCs: | HAMA positively correlated with Gm coefficient while negatively correlated with Shannon index only in BD group. |
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| BD: 25 | BD: 14M/11F | BD: 36.92 | Compared to HCs: alpha-diversity: Fisher index ↓ while Shannon index ↑ in BD. | Alterations of the microbes may have the potential as biomarkers for distinguishing the BD patients from the HCs. |
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| • BD: 36 (BD-I: | • BD: 21M/15F | • BD: 32.64 ( | qPCR | Compared to HCs: the ratio of B/E ↓ in BD. | The log10B-GCB and log10 Enterobacter spp. count were positively correlated with the CD3+ T cell proportion. |
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| Canada | • BD: 23 (BD-I: c15; BD-II: 8) | • BD-I: 6M/9F | • BD-I: 43.5 ( | PCR | Diversity: ↓ in BD. | Individuals with BD may have a distinct gut microbiota profile compared to healthy controls, with a greater abundance of |
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| Japan | • BD: 39 (BD-I: | • BD: 17M/22F | • BD: 40.3 ( | RT-qPCR | – | A negative correlation between |
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BD, bipolar disorder; HCs, healthy controls; NA, no difference; LPS, lipopolysaccharide; ACE, angiotensin converting enzyme; BDA, BD affected twin A; BDB, BD unaffected twin B; MZA, monozygotic (MZ) twins affected twins with unipolar or bipolar disorder in remission; MZH, unaffected monozygotic twin at familial risk as their co-twin had a diagnosis of affective disorder; MZL, no monozygotic twins or first-degree history of affective disorder; ARNTL, a clock gene that can be methylated; MADRS, Montgomery–Åsberg Depression Rating Scale; PCS, physical health. B/E, Bifidobacterium ratio Enterobacteriacea ratio and represents microbial colonization resistance; AAP, atypical antipsychotic; PCR, polymerase chain reaction; qPCR, quantitative polymerase chain reaction; RT-qPCR, real-time quantitative polymerase chain reaction; FMT, fecal microbiota transplantation; MDD, major depressive disorder; SMS, shotgun metagenomics sequencing. TRP, tryptophan.
FIGURE 2The PRISMA flow diagram.