| Literature DB >> 35684340 |
Varsha Nandwana1, Nitesh K Nandwana1,2, Yogarupa Das3, Mariko Saito3, Tanisha Panda1, Sasmita Das1, Frankis Almaguel4, Narayan S Hosmane5, Bhaskar C Das1,2.
Abstract
Hundreds of billions of commensal microorganisms live in and on our bodies, most of which colonize the gut shortly after birth and stay there for the rest of our lives. In animal models, bidirectional communications between the central nervous system and gut microbiota (Gut-Brain Axis) have been extensively studied, and it is clear that changes in microbiota composition play a vital role in the pathogenesis of various neurodevelopmental and neurodegenerative disorders, such as Autism Spectrum Disorder, Alzheimer's disease, Parkinson's disease, Multiple Sclerosis, Amyotrophic Lateral Sclerosis, anxiety, stress, and so on. The makeup of the microbiome is impacted by a variety of factors, such as genetics, health status, method of delivery, environment, nutrition, and exercise, and the present understanding of the role of gut microbiota and its metabolites in the preservation of brain functioning and the development of the aforementioned neurological illnesses is summarized in this review article. Furthermore, we discuss current breakthroughs in the use of probiotics, prebiotics, and synbiotics to address neurological illnesses. Moreover, we also discussed the role of boron-based diet in memory, boron and microbiome relation, boron as anti-inflammatory agents, and boron in neurodegenerative diseases. In addition, in the coming years, boron reagents will play a significant role to improve dysbiosis and will open new areas for researchers.Entities:
Keywords: Alzheimer’s disease; Parkinson’s disease; boron neuroprotective agent; boron-based diet; gut-brain axis; microbiome
Mesh:
Substances:
Year: 2022 PMID: 35684340 PMCID: PMC9182002 DOI: 10.3390/molecules27113402
Source DB: PubMed Journal: Molecules ISSN: 1420-3049 Impact factor: 4.927
Figure 1(A) Factors causing alteration in gut microbiota; (B) Important function of gut microbiota.
Figure 2Schematic overview of microbiota and its metabolites—In the large intestine, dietary fiber and undigested carbohydrates are fermented into SCFA (Butyrate, propionate, and acetate) by gut microbiota. These metabolites can regulate tight junction, increase mucin production, upregulate MUC-2 expression, and increase synthesis of IgA through B cell activation. These metabolites also exert an anti-inflammatory effect by inhibiting HDAC (which leads to the differentiation of naïve T cells to regulatory T cells), which further decreases the production of proinflammatory cytokines, such as IL-6, IL-8, TNF-α, and NFkB activity. SCFA also stimulates intestinal gluconeogenesis, improving glucose tolerance. Moreover, SCFA can stimulate EEC to release GLP-1 and PYY, which acts as an anorexigenic agent by suppressing appetite and GLP-1 stimulate the pancreas to release insulin, thus increasing the uptake of glucose in muscle and adipose tissue. SCFA suppresses appetite by increasing leptin synthesis in adipose tissue. In liver SCFA, phosphorylate and activate AMPK directly by increasing the AMP/ATP ratio or indirectly via LEPR. Activation of AMPK triggers PGC-1α expression, which promotes fatty acid oxidation, lipolysis, and cholesterol synthesis and decreases fatty acid synthesis. Abbreviations: SCFA, Short-Chain Fatty Acid; MUC2, Mucin2; HDAc, Histone acetylation; EEC, Enteroendocrine cell; GLP-1, Glucagon-like Peptide 1; PYY, Peptide YY; pAMPK, phosphorylated Adenosine monophosphate activated protein kinase; AMP, adenosine monophosphate; ATP, adenosine triphosphate; LEPR, leptin receptor; PGC-1α peroxisome proliferator-activated receptor gamma coactivator 1-alpha.
Figure 3The structure of the tryptophan catabolites, indole, and its derivatives.
Figure 4Schematic representation of tryptophan metabolism pathway leading to the production of neuroactive compounds.
Figure 5Dysbiosis and Alzheimer’s disease; intestinal permeability is harmed when gut equilibrium is disrupted by pro-inflammatory microorganisms that produce bacterial amyloids, LPS, TMAO and decrease beneficial bacterial metabolites, such as SCFA. Impairment in the gut and blood–brain barrier leads to the increased invasion of microbes into peripheral and CNS and increase production of pro-inflammatory cytokines and thus causing peripheral and central inflammation. This neuroinflammation leads to neuronal death directly and through ROS which leads to the formation of neurofibrillary tangles. LPS also acts on TLR2/TLR4 CD14 receptor on activated microglia, increasing TNF-α, IL-1β, iNOS, NADPH oxidase, and thus astrocyte activation and NF-kB activity which further promote Aβ aggregation. Aβ also acts as an agonist to the TLR4 receptor and thus promotes the vicious cycle of amyloid aggregation and ultimately neuronal death in AD.
Various studies show alteration in gut microbiota in various neurodegenerative disorders.
| Neurodegenerative Disease | Study | Experimental Subject | Control | Method | Dysbiosis/Result | Ref |
|---|---|---|---|---|---|---|
|
| Liang et al. (2016) | APP/PS1 transgenic mice | C57/Bl6 wild-type (WT) | 16S rRNA sequencing | ↓Odoribacter, ↑Helicobacter | [ |
| Vogt et al. (2017) | Fecal samples from AD (n = 25) | sex-matched Control participants (n = 25) | 16S rRNA sequencing | Firmicutes, Bifidobacterium↓, Bacteroidetes↑ | [ | |
| Zhang et al. (2017) | APP/PS1 transgenic male mice | Age and weight-matched littermate mice wild-type (WT) | 16S rRNA sequencing | microbiota composition and diversity were perturbed and the level of SCFAs ↓in AD mice | [ | |
| Cattaneo et al. (2017) | Cognitively impaired patients with (n = 40, Amy+) and with no brain amyloidosis (n = 33, Amy−) | Without brain amyloidosis and cognitive impairment | Microbial DNA qPCR assay | Amy+—↑pro-inflammatory cytokines (IL-6, CXCL2, NLRP3, and IL-1β) | [ | |
| Zhuang et al. (2018) | Fecal samples- AD patients | age- and gender-matched cognitively normal controls | 16S rRNA sequencing | At family level- ↑ Ruminococcaceae and ↓ Lachnospiraceae | [ | |
| Bauerl et al. (2018) | APP/PS1 transgenic mice | C57/B16 (WT) | 16S rRNA sequencing | ↑ Proteobacteria and Erysipelotrichaceae | [ | |
| Honarpisheh et al. (2020) | Symptomatic Tg2576 mice | age-matched littermate WT | 16S rRNA sequencing | ↑↑Firmicutes and Bacteroidetes | [ | |
|
| Cilia et al. (2020) | Fecal samples of PD pt. | 16S rRNA sequencing | ↓Roseburia (Firmicutes phylum) -worse evolution of motor, non-motor and cognitive functions | [ | |
| Tan et al. (2020) | Fecal samples of PD pt. | Control | 16S rRNA gene sequencing | PD- ↓ SCFA (a/w poorer cognition and low BMI) and ↓ butyrate (a/w worse postural instability–gait disorder scores) | [ | |
| Nishiwaki et al. (2020) | Patients with PD | Control | 16S rRNA gene sequencing | PD- ↑ Akkermansia and Catabacter (genera) and Akkermansiaceae (family). | [ | |
| Heinzel et al. 2020) | Stool sample | Healthy Control | PD- ↓ Firmicutes and Faecalibacterium, | [ | ||
| Shen et al. (2021) | Fifteen case–control studies | meta-analysis | PD- ↓ Prevotellaceae, Faecalibacterium, and Lachnospiraceae | [ | ||
| Vascellari et al. (2021) | PD patients (n = 56) | 16S next-generation sequencing and gas chromatography-mass spectrometry | ↓ Lachnospiraceae, Blautia, Coprococcus, Lachnospira, and ↑ in Enterobacteriaceae, Escherichia and Serratia linked to non-TD subtypes | [ | ||
|
| Saresella et al. (2020) | MS pt. | Healthy Controls | ↓BA producers, ↑mucin-degrading, pro-inflammatory components | [ | |
|
| Mazzini et al. (2018) | ALS patients | Healthy controls | PCR | ↑E. coli and enterobacteria | [ |
| Gioia et al. (2020) | ALS | 50 HC | PCR | An unbalance between potentially protective microbial groups, such as Bacteroidetes, and other with potential neurotoxic or pro-inflammatory activity, such as Cyanobacteria, has been shown | [ |
Effect of pre-biotics and probiotics on various neurological disorders.
| Disease | Study | Study Design | Experimental Subject | Time | Probiotic/Prebiotic/ | Effect | Ref. |
|---|---|---|---|---|---|---|---|
|
| Grimaldi et al. (2018) | RCT | prebiotic | 6 wk | Prebiotic: Bimuno | ↑Lachnospiraceae family, improvements in anti-social behavior, | [ |
| Liu et al. (2019) | RCT | n = 80, boys with ASD, aged 7–15 | 4 wk | Probiotic:Lactobacillus plantarum PS128 | Improve opposition/defiance behaviors | [ | |
| Sanctuary et al. (2019) | RCT | n = 8, ages 2–11 with ASD and GI co-morbidities | 12 wk | Bovine colostrum product (BCP)+ | ↓GI symptoms and aberrant behaviors | [ | |
| Wang et al. (2020) | 16S rRNA gene sequencing | n = 26, ASD pt. | 30–108 days | probiotics + FOS: | ↑ | [ | |
|
| Akbari et al. (2016) | RCT | n = 60; probiotic | 12 wk | Probiotic: Lactobacillus acidophilus, Lactobacillus fermentum, | Significant improvement in the MMSE score | [ |
| Kobayashi et al. (2019) | RCT | n = 121 | 12 wk | Bifidobacterium breve A1 | Beneficial effect on the cognitive function of older people | [ | |
| Ton et al. (2019) | n = 13 AD pt. | 90 days | kefir synbiotic | Improves cognitive deficits, | [ | ||
| Kaur et al. (2020) | 2 months | probiotic | Improved memory, | [ | |||
| Bonfili et al. (2020) | 3xTg-AD Eight-week-old AD male mice (n = 48) | SLAB51 probiotic: | Memory improvement, | [ | |||
| Lee et al. (2021) | Mouse model | Prebiotic:lactulose and trehalose | Attenuated the short-term memory and the cognitive impairment of AD mice | [ | |||
| Cao et al. (2021) | 16S rRNA gene sequencing | 4-month old APP/PS1 mice | 45 days | Bifidobacterium Lactis Probio-M8 | ↓ Aβ plaque | [ | |
|
| Barichella et al. (2016) | (n = 120) PD pt. | Fermented milk containing probiotics and prebiotics | Improve constipation in PD pt. | [ |
Figure 6Boron-based marketed drugs.
Figure 7Boron containing an active compound in neuro-diseases.