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Zhang L, Zhang S, Jiang M, Ni X, Du M, Jiang H, Bi M, Wang Y, Liu C, Liu S. Limosilactobacillus reuteri Alleviates Anxiety-like Behavior and Intestinal Symptoms in Two Stressed Mouse Models. Nutrients 2024; 16:3209. [PMID: 39339809 PMCID: PMC11434693 DOI: 10.3390/nu16183209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2024] [Revised: 08/29/2024] [Accepted: 09/20/2024] [Indexed: 09/30/2024] Open
Abstract
BACKGROUND/OBJECTIVES Limosilactobacillus (Lm.) reuteri is a widely utilized probiotic, recognized for its significant role in alleviating symptoms associated with gastrointestinal and psychiatric disorders. However, the effectiveness of Lm. reuteri is strain-specific, and its genetic diversity leads to significant differences in phenotypes among different strains. This study aims to identify potential probiotic strains by comparing the strain-specific characteristics of Lm. reuteri to better understand their efficacy and mechanisms in alleviating stress-induced anxiety-like behaviors and gastrointestinal symptoms. METHODS We cultivated 11 strains of Lm. reuteri from healthy human samples and conducted phenotypic and genomic characterizations. Two strains, WLR01 (=GOLDGUT-LR99) and WLR06, were screened as potential probiotics and were tested for their efficacy in alleviating anxiety-like behavior and intestinal symptoms in mouse models subjected to sleep deprivation (SD) and water avoidance stress (WAS). RESULTS The results showed that the selected strains effectively improved mouse behaviors, including cognitive impairment and inflammatory response, as well as improving anxiety and regulating gut microbiota composition. The improvements with WLR01 were associated with the regulation of the NLRP3 inflammasome pathway in the SD model mice and were associated with visceral hypersensitivity and intestinal integrity in the WAS model mice. CONCLUSIONS In summary, this study identified the Lm. reuteri strain WLR01 as having the potential to alleviate anxiety-like behavior and intestinal symptoms through the analysis of Lm. reuteri genotypes and phenotypes, as well as validation in mouse models, thereby laying the foundation for future clinical applications.
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Affiliation(s)
- Liang Zhang
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao 266237, China
| | - Shuwen Zhang
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao 266237, China
| | - Minzhi Jiang
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao 266237, China
| | - Xue Ni
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao 266237, China
| | - Mengxuan Du
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao 266237, China
| | - He Jiang
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao 266237, China
| | - Mingxia Bi
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao 266237, China
| | - Yulin Wang
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao 266237, China
| | - Chang Liu
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao 266237, China
| | - Shuangjiang Liu
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao 266237, China
- State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
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Pan J, Zhang L, Liu J, Liang Y. Jiannao pills mitigate chronic restraint stress-induced anxiety in mice through the regulation of intestinal microflora. Am J Transl Res 2024; 16:4549-4563. [PMID: 39398613 PMCID: PMC11470306 DOI: 10.62347/geew4432] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2024] [Accepted: 08/07/2024] [Indexed: 10/15/2024]
Abstract
OBJECTIVE To investigate the effects of Jiannao pills on mice with chronic restraint stress-induced anxiety and its mechanisms. METHODS Anxiety-like behaviors were induced in mice by exposing them to chronic restraint stress (8 h/day for 21 days). Subsequently, Jiannao pills were given to these mice for the treatment of the induced anxiety. Following treatment, the intestinal microflora of the mice were analyzed using the 16S rRNA sequencing method. RESULTS Under positive electrospray ionization mode, a total of 68 chemical compositions were found in Jiannao pills, and under negative electrospray ionization mode, the number was 18. With these chemical compositions in effect, it was observed that Jiannao pills alleviated chronic restraint induced anxiety-like behaviors in mice by extending their dwelling time, standing time, and grooming time in the central area, as well as the percentage of entries and time spent in the open arms. This effect was similar to that of alprazolam. In addition, Jiannao pills significantly improved neural functions in mice with chronic restraint-induced anxiety, diminished the levels of 5-hydroxytryptamine and glutamate, and increased the levels of γ-aminobutyric acid. Furthermore, Jiannao pills decreased the expressions of the corticotropin-releasing factor and cholecystokinin protein, while elevating neuropeptide Y protein levels. The results of 16S rRNA sequencing analysis revealed both Jiannao pills and alprazolam altered the composition of intestinal microflora in mice, with Jiannao pills exhibiting a more pronounced effect. Specifically, there was a significant increase in the abundance of S24-7 in mice following treatment. Besides, significant differences were observed in a total of 632 operational taxonomic units in mice after Jiannao pill treatment. The functions of the intestinal microflora of mice were primarily associated with their betalain biosynthesis and classification levels. CONCLUSION Jiannao pills effectively ameliorated chronic restraint anxiety-like behaviors in mice and enhanced their neural functions potentially through the regulation of their intestinal microflora.
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Affiliation(s)
- Jia Pan
- Institute of Pharmacology and Toxicology of Chinese Materia Medica, Sichuan Academy of Chinese Medicine SciencesNo. 51, Section 4, Renmin South Road, Chengdu 610041, Sichuan, China
| | - Lihan Zhang
- School of Clinical Medicine, Chengdu University of Traditional Chinese MedicineNo. 37, Shierqiao Road, Chengdu 610075, Sichuan, China
| | - Jie Liu
- Institute of Pharmacology and Toxicology of Chinese Materia Medica, Sichuan Academy of Chinese Medicine SciencesNo. 51, Section 4, Renmin South Road, Chengdu 610041, Sichuan, China
| | - Yuanyuan Liang
- Institute of Clinical Basis and Literature Information of Traditional Chinese Medicine, Sichuan Academy of Chinese Medicine SciencesNo. 51, Section 4, Renmin South Road, Chengdu 610041, Sichuan, China
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Xie F, Feng Z, Xu B. Metabolic Characteristics of Gut Microbiota and Insomnia: Evidence from a Mendelian Randomization Analysis. Nutrients 2024; 16:2943. [PMID: 39275260 PMCID: PMC11397146 DOI: 10.3390/nu16172943] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2024] [Revised: 08/28/2024] [Accepted: 08/30/2024] [Indexed: 09/16/2024] Open
Abstract
Insomnia is a common sleep disorder that significantly impacts individuals' sleep quality and daily life. Recent studies have suggested that gut microbiota may influence sleep through various metabolic pathways. This study aims to explore the causal relationships between the abundance of gut microbiota metabolic pathways and insomnia using Mendelian randomization (MR) analysis. This two-sample MR study used genetic data from the OpenGWAS database (205 gut bacterial pathway abundance) and the FinnGen database (insomnia-related data). We identified single nucleotide polymorphisms (SNPs) associated with gut bacterial pathway abundance as instrumental variables (IVs) and ensured their validity through stringent selection criteria and quality control measures. The primary analysis employed the inverse variance-weighted (IVW) method, supplemented by other MR methods, to estimate causal effects. The MR analysis revealed significant positive causal effects of specific carbohydrate, amino acid, and nucleotide metabolism pathways on insomnia. Key pathways, such as gluconeogenesis pathway (GLUCONEO.PWY) and TCA cycle VII acetate producers (PWY.7254), showed positive associations with insomnia (B > 0, p < 0.05). Conversely, pathways like hexitol fermentation to lactate, formate, ethanol and acetate pathway (P461.PWY) exhibited negative causal effects (B < 0, p < 0.05). Multivariable MR analysis confirmed the independent causal effects of these pathways (p < 0.05). Sensitivity analyses indicated no significant pleiotropy or heterogeneity, ensuring the robustness of the results. This study identifies specific gut microbiota metabolic pathways that play critical roles in the development of insomnia. These findings provide new insights into the biological mechanisms underlying insomnia and suggest potential targets for therapeutic interventions. Future research should further validate these causal relationships and explore how modulating gut microbiota or its metabolic products can effectively improve insomnia symptoms, leading to more personalized and precise treatment strategies.
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Affiliation(s)
- Fuquan Xie
- Institute of Biomedical & Health Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Zhijun Feng
- Department of Radiation Medicine, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou 510515, China
| | - Beibei Xu
- Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
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Zhai M, Song W, Liu Z, Cai W, Lin GN. Causality Investigation between Gut Microbiome and Sleep-Related Traits: A Bidirectional Two-Sample Mendelian Randomization Study. Genes (Basel) 2024; 15:769. [PMID: 38927705 PMCID: PMC11202894 DOI: 10.3390/genes15060769] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2024] [Revised: 06/07/2024] [Accepted: 06/09/2024] [Indexed: 06/28/2024] Open
Abstract
Recent research has highlighted associations between sleep and microbial taxa and pathways. However, the causal effect of these associations remains unknown. To investigate this, we performed a bidirectional two-sample Mendelian randomization (MR) analysis using summary statistics of genome-wide association studies (GWAS) from 412 gut microbiome traits (N = 7738) and GWAS studies from seven sleep-associated traits (N = 345,552 to 386,577). We employed multiple MR methods to assess causality, with Inverse Variance Weighted (IVW) as the primary method, alongside a Bonferroni correction ((p < 2.4 × 10-4) to determine significant causal associations. We further applied Cochran's Q statistical analysis, MR-Egger intercept, and Mendelian randomization pleiotropy residual sum and outlier (MR-PRESSO) for heterogeneity and pleiotropy assessment. IVW estimates revealed 79 potential causal effects of microbial taxa and pathways on sleep-related traits and 45 inverse causal relationships, with over half related to pathways, emphasizing their significance. The results revealed two significant causal associations: genetically determined relative abundance of pentose phosphate decreased sleep duration (p = 9.00 × 10-5), and genetically determined increase in fatty acid level increased the ease of getting up in the morning (p = 8.06 × 10-5). Sensitivity analyses, including heterogeneity and pleiotropy tests, as well as a leave-one-out analysis of single nucleotide polymorphisms, confirmed the robustness of these relationships. This study explores the potential causal relationships between sleep and microbial taxa and pathways, offering novel insights into their complex interplay.
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Affiliation(s)
- Mingxia Zhai
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Weichen Song
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Zhe Liu
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Wenxiang Cai
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Guan Ning Lin
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Jiao Tong University, Shanghai 200240, China
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Yang J, Su T, Zhang Y, Jia M, Yin X, Lang Y, Cui L. A bidirectional Mendelian randomization study investigating the causal role between gut microbiota and insomnia. Front Neurol 2023; 14:1277996. [PMID: 38145126 PMCID: PMC10740168 DOI: 10.3389/fneur.2023.1277996] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Accepted: 11/21/2023] [Indexed: 12/26/2023] Open
Abstract
Background It has emerged that disturbances of the gut microbiota (GM) are linked to insomnia. However, the causality of the observed associations remains uncertain. Methods We conducted a two-sample Mendelian randomization analysis based on genome-wide association study data to explore the possible causal link between GM and insomnia. The GM data were from the MiBioGen consortium, while the summary statistics of insomnia were obtained from the FinnGen consortium R9 release data. Cochran's Q statistics were used to analyze instrumental variable heterogeneity. Results According to the inverse variance weighted estimates, the family Ruminococcaceae (odds ratio = 1.494, 95% confidence interval:1.004-2.223, p = 0.047) and the genus Lachnospiraceae (odds ratio = 1.726, 95% confidence interval: 1.191-2.501, p = 0.004) play a role in insomnia risk. In contrast, the genus Flavonifractor (odds ratio = 0.596, 95% confidence interval: 0.374-0.952, p = 0.030) and the genus Olsenella (odds ratio = 0.808, 95% confidence interval: 0.666-0.980, p = 0.031) tended to protect against insomnia. According to the reverse MR analysis, insomnia can also alter GM composition. Instrumental variables were neither heterogeneous nor horizontal pleiotropic. Conclusion In conclusion, our Mendelian randomization study provides evidence of a causal relationship between GM and insomnia. The identified GM may be promising gut biomarkers and new therapeutic targets for insomnia. This investigation also provides a foundation for future studies examining the influence of GM on sleep disorders beyond insomnia, with potential implications for redefining the mechanisms governing sleep regulation.
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Affiliation(s)
- Jie Yang
- Department of Neurology, The First Hospital of Jilin University, Changchun, China
| | - Tengfei Su
- Department of Neurology, The First Hospital of Jilin University, Changchun, China
| | - Yating Zhang
- Department of Otolaryngology, The Second Hospital of Jilin University, Changchun, China
| | - Menghan Jia
- Department of Neurology, The First Hospital of Jilin University, Changchun, China
| | - Xiang Yin
- Department of Neurology, The First Hospital of Jilin University, Changchun, China
| | - Yue Lang
- Department of Neurology, The First Hospital of Jilin University, Changchun, China
| | - Li Cui
- Department of Neurology, The First Hospital of Jilin University, Changchun, China
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