| Literature DB >> 35458177 |
Qingmin Kong1,2, Qian Chen1,2, Xuhua Mao3, Gang Wang1,2,4,5, Jianxin Zhao1,2,4,5, Hao Zhang1,2,4,5,6, Wei Chen1,2,4.
Abstract
The kynurenine pathway (KP) is abnormal in autistic patients and model animals. According to studies on the brain-gut axis, probiotics can help ameliorate the metabolic abnormalities of the KP in patients and model animals with neurological diseases. This study was aimed at evaluating the ability of Bifidobacterium longum (B. longum) CCFM077 to enhance the gut microbiome and KP metabolism and regulate the neurotransmitter levels and neuroinflammation of autistic rats. The KP metabolism of autistic rats was significantly disordered and significantly related to the regulation of neurotransmitter (excitation and inhibition) and neuroglia states. B. longum CCFM1077 could effectively alleviate autistic-like behaviours (repetitive stereotyped behaviour, learning and memory ability, and despair mood) and regulate the KP metabolism in the periphery system (gut and blood) and brain. In particular, B. longum CCFM1077 could significant regulate the quinolinic acid (QUIN) level in the brain and markedly regulate glutamic acid (Glu) and Glu/γ-aminobutyric acid (GABA) levels in the brain while alleviating microglia activity in the cerebellum. Through a correlation analysis, the QUIN level in the brain was strongly related with autistic-like behaviours and neurotransmitter levels (GABA and Glu). The QUIN level may thus be a potential therapeutic marker for treating autism through the intestinal and neural pathways.Entities:
Keywords: Bifidobacterium longum; autism; kynurenine pathway; neurotransmitter; quinolinic acid
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Year: 2022 PMID: 35458177 PMCID: PMC9031594 DOI: 10.3390/nu14081615
Source DB: PubMed Journal: Nutrients ISSN: 2072-6643 Impact factor: 6.706
Figure 1B. longum CCFM1077’s effect on alleviating autistic-like behaviours. (a) Open filed test (OFT): The accumulated time in the centre zone. (b) Social test (ST): The social index. (c) Marble burying test (MBT): The number of marbles buried. (d) Y-maze test (YMT): The accumulated time in the novel arm. (e) Force swimming test (FST): The accumulated time of stopping and floating. Unpaired Student’s t-test was performed between the CON and VPA groups. Data are mean with SD (n = 5–6 per group for each test). ANOVA following by Dunnett’s multiple comparisons test performed against the VPA group. Asterisks in the figures represent the following: * p < 0.05; ** p < 0.01; *** p < 0.001; **** p < 0.0001.
Figure 2B. longum CCFM1077’s effect on KP metabolites and neurotransmission in serum and brain. (a–c) The Trp, KYN, and KYNA levels in the caecum. (d) The ratio of KYN/Trp in the caecum. (e) The ratio of KYNA/KYN in the caecum. (f–h) The Trp, KYN, and KYNA levels in the serum. (i) The ratio of KYN/Trp in the serum. (j) The ratio of KYNA/KYN in the serum. (k–m) The Trp, KYN, and KYNA levels in the brain. (n) The ratio of KYN/Trp in the brain. (o) The ratio of KYNA/KYN in the brain. (p) The QA level in the brain. (q) The correlation analysis between behaviours and the KP metabolite in the caecum, serum, and brain. Data are mean with SD (n = 5–6 per group for each test). Unpaired Student’s t-test was performed between the CON and VPA groups. ANOVA following by Dunnett’s multiple comparisons test performed against the VPA group. Asterisks in the figures represent the following: * p < 0.05; ** p < 0.01.
Figure 3B. longum CCFM1077’s effect on gut microbiome. (a–d) The α-diversity evaluated using the ACE, Chao1 Shannon, and observed indices. (e) Beta diversity reflected by PCoA based on unweighted UniFrac distances of the gut microbiome. (f) The heatmap of the gut microbiome on the level of genus. (g) The abundance of Bacteroidetes. (h) The abundance of Firmicutes. (i) The different gut microbiomes on the gene level between the groups VPA and B. longum CCFM1077. (j) The different gut microbiomes on the level of Bifidobacterium between the groups VPA and B. longum CCFM1077. (k) The different gut microbiomes on the level of Lactobacillus between the groups VPA and B. longum CCFM1077. The data are mean with SD (n = 5–6 per group for each test). Unpaired Student’s t-test was performed between the CON and VPA groups. ANOVA following by Dunnett’s multiple comparisons test performed against the VPA group. Asterisks in the figures represent the following.
Figure 4B. longum CCFM1077’s effect on the level of neurotransmitters. (a) The level of GABA in the cerebellum. (b) The level of Glu in the cerebellum. (c) The ratio of Glu and GABA in the cerebellum. (d) The level of NE in the cerebellum. (e) The level of GABA in the prefrontal cortex. (f) The level of Glu in the prefrontal cortex. (g) The ratio of Glu and GABA in the prefrontal cortex. (h) The level of NE in the prefrontal cortex. (i) The interaction network analysis. The positive and negative relation were performed with the yellow and grey line, respectively. The correlation coefficient was in the Supplementary Materials Table S2. DIO: KYN/TRP; KAT: KYNA/KYN. Data are mean with SD (n = 5–6 per group for each test). Unpaired Student’s t-test was performed between the CON and VPA groups. ANOVA followed by Dunnett’s multiple comparisons test was performed against the VPA group. Asterisks in the figures represent the following: * p < 0.05; ** p < 0.01; *** p < 0.001.
Figure 5B. longum CCFM1077’s effect on immune system. (a–f) The level of IL-1β, IL-6, IL-10, IgA, IgG, and IgM in the serum. (g–j) The protein expression of IBA-1 and GFAP in the prefrontal cortex. (k–n) The protein expression of IBA-1 and GFAP in the cerebellum. Data are mean with SD (n = 5–6 per group for immune factor in the serum; n = 3 per group for immunohistochemical analysis). Unpaired Student’s t-test was performed between the CON and VPA groups. ANOVA followed by Dunnett’s multiple comparisons test was performed against the VPA group. Asterisks in the figures represent the following: * p < 0.05.