Evaluating the interactive effects of dietary habits and human gut microbiome on the risks of depression and anxiety

Yao, Yao; Qi, Xin; Jia, Yumeng; Ye, Jing; Chu, Xuan; Wen, Yan; Cheng, Bolun; Cheng, Shiqiang; Liu, Li; Liang, Chujun; Wu, Cuiyan; Wang, Xi; Ning, Yujie; Wang, Sen; Zhang, Feng

doi:10.1017/s0033291721005092

Cited by 9 publications

(9 citation statements)

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“…The software PRSice-2 is designed to calculate the PRS of an individual by aggregating and quantifying the effect of many single nucleotide polymorphisms (SNPs) in their genome, which are weighted by the effect sizes of each SNP derived from genome-wide association studies (GWASs) 19 . This approach has previously been used to explore the genetic relationship between gut microbial abundance and complex traits like bone mineral density, rheumatoid arthritis, and depression 20 – 22 . In the present study, we used this approach to determine the genetic relationship between 119 microbial genera and AD diagnosis.…”

Section: Introductionmentioning

confidence: 99%

Genetic correlations between Alzheimer’s disease and gut microbiome genera

Cammann

Cummings

et al. 2023

Sci Rep

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A growing body of evidence suggests that dysbiosis of the human gut microbiota is associated with neurodegenerative diseases like Alzheimer’s disease (AD) via neuroinflammatory processes across the microbiota-gut-brain axis. The gut microbiota affects brain health through the secretion of toxins and short-chain fatty acids, which modulates gut permeability and numerous immune functions. Observational studies indicate that AD patients have reduced microbiome diversity, which could contribute to the pathogenesis of the disease. Uncovering the genetic basis of microbial abundance and its effect on AD could suggest lifestyle changes that may reduce an individual’s risk for the disease. Using the largest genome-wide association study of gut microbiota genera from the MiBioGen consortium, we used polygenic risk score (PRS) analyses with the “best-fit” model implemented in PRSice-2 and determined the genetic correlation between 119 genera and AD in a discovery sample (ADc12 case/control: 1278/1293). To confirm the results from the discovery sample, we next repeated the PRS analysis in a replication sample (GenADA case/control: 799/778) and then performed a meta-analysis with the PRS results from both samples. Finally, we conducted a linear regression analysis to assess the correlation between the PRSs for the significant genera and the APOE genotypes. In the discovery sample, 20 gut microbiota genera were initially identified as genetically associated with AD case/control status. Of these 20, three genera (Eubacterium fissicatena as a protective factor, Collinsella, and Veillonella as a risk factor) were independently significant in the replication sample. Meta-analysis with discovery and replication samples confirmed that ten genera had a significant correlation with AD, four of which were significantly associated with the APOE rs429358 risk allele in a direction consistent with their protective/risk designation in AD association. Notably, the proinflammatory genus Collinsella, identified as a risk factor for AD, was positively correlated with the APOE rs429358 risk allele in both samples. Overall, the host genetic factors influencing the abundance of ten genera are significantly associated with AD, suggesting that these genera may serve as biomarkers and targets for AD treatment and intervention. Our results highlight that proinflammatory gut microbiota might promote AD development through interaction with APOE. Larger datasets and functional studies are required to understand their causal relationships.

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Section: Introductionmentioning

confidence: 99%

Genetic correlations between Alzheimer’s disease and gut microbiome genera

Cammann

Cummings

et al. 2023

Sci Rep

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“…[ 9–12 ] These findings suggested that the gut microbiota is a potential new target for stress‐induced depression and anxiety, and dietary interventions seem to be an easily accessible choice to relieve the mental disorders induced by chronic stress. [ 13–15 ]…”

Section: Introductionmentioning

confidence: 99%

Administration Time and Dietary Patterns Modified the Effect of Inulin on CUMS‐Induced Anxiety and Depression

Chen

et al. 2023

Molecular Nutrition Food Res

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Scope: Prebiotics exert anxiolytic and antidepressant effects through the microbiota-gut-brain axis in animal models. However, the influence of prebiotic administration time and dietary pattern on stress-induced anxiety and depression is unclear. In this study, whether administration time can modify the effect of inulin on mental disorders within normal and high-fat diets are investigated. Methods and results: Mice subjected to chronic unpredicted mild stress (CUMS) are administered with inulin in the morning (7:30-8:00 am) or evening (7:30-8:00 pm) for 12 weeks. Behavior, intestinal microbiome, cecal short-chain fatty acids, neuroinflammatory responses, and neurotransmitters are measured. A high-fat diet aggravated neuroinflammation and is more likely to induce anxiety and depression-like behavior (p < 0.05). Morning inulin treatment improves the exploratory behavior and sucrose preference better (p < 0.05). Both inulin treatments decrease the neuroinflammatory response (p < 0.05), with a more evident trend for the evening administration. Furthermore, morning administration tends to affect the brain-derived neurotrophic factor and neurotransmitters. Conclusion: Administration time and dietary patterns seem to modify the effect of inulin on anxiety and depression. These results provide a basis for assessing the interaction of administration time and dietary patterns, providing guidance for the precise regulation of dietary prebiotics in neuropsychiatric disorders.

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“…Polygenic risk scores (PRSs) provide an overall estimate of the genetic predisposition for a trait at the individual level by calculating the sum of the effects of risk alleles, where each risk allele estimates the phenotype from an independent GWAS ( 21 ). Previously, PRS has also been used to assess the impact of d dietary habits and the gut microbiome on anxiety and depression ( 22 ).…”

Section: Introductionmentioning

confidence: 99%

A genetic association study reveals the relationship between the oral microbiome and anxiety and depression symptoms

Chen

Wen

et al. 2022

Front. Psychiatry

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BackgroundGrowing evidence supports that alterations in the gut microbiota play an essential role in the etiology of anxiety, depression, and other psychiatric disorders. However, the potential effect of oral microbiota on mental health has received little attention.MethodsUsing the latest genome-wide association study (GWAS) summary data of the oral microbiome, polygenic risk scores (PRSs) of 285 salivary microbiomes and 309 tongue dorsum microbiomes were conducted. Logistic and linear regression models were applied to evaluate the relationship between salivary-tongue dorsum microbiome interactions with anxiety and depression. Two-sample Mendelian randomization (MR) was utilized to compute the causal effects between the oral microbiome, anxiety, and depression.ResultsWe observed significant salivary-tongue dorsum microbiome interactions related to anxiety and depression traits. Significantly, one common interaction was observed to be associated with both anxiety score and depression score, Centipeda periodontii SGB 224 × Granulicatella uSGB 3289 (P depressionscore = 1.41 × 10−8, P anxietyscore = 5.10 × 10−8). Furthermore, we detected causal effects between the oral microbiome and anxiety and depression. Importantly, we identified one salivary microbiome associated with both anxiety and depression in both the UKB database and the Finngen public database, Eggerthia (P IVW − majordepression − UKB = 2.99 × 10−6, P IVW − Self − reportedanxiety/panicattacks − UKB = 3.06 × 10−59, P IVW − depression − Finngen = 3.16 × 10,-16 P IVW − anxiety − Finngen = 1.14 × 10−115).ConclusionThis study systematically explored the relationship between the oral microbiome and anxiety and depression, which could help improve our understanding of disease pathogenesis and propose new diagnostic targets and early intervention strategies.

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Evaluating the interactive effects of dietary habits and human gut microbiome on the risks of depression and anxiety

Cited by 9 publications

References 70 publications

Genetic correlations between Alzheimer’s disease and gut microbiome genera

Genetic correlations between Alzheimer’s disease and gut microbiome genera

Administration Time and Dietary Patterns Modified the Effect of Inulin on CUMS‐Induced Anxiety and Depression

A genetic association study reveals the relationship between the oral microbiome and anxiety and depression symptoms

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