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  • 1
    In: Sleep Health, Elsevier BV, Vol. 8, No. 5 ( 2022-10), p. 536-541
    Type of Medium: Online Resource
    ISSN: 2352-7218
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2022
    detail.hit.zdb_id: 2813299-3
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  • 2
    In: Brain Imaging and Behavior, Springer Science and Business Media LLC, Vol. 16, No. 4 ( 2022-08), p. 1504-1515
    Type of Medium: Online Resource
    ISSN: 1931-7557 , 1931-7565
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2022
    detail.hit.zdb_id: 2377165-3
    SSG: 5,2
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  • 3
    In: The Journal of Clinical Endocrinology & Metabolism, The Endocrine Society, Vol. 107, No. 8 ( 2022-07-14), p. e3463-e3473
    Abstract: Despite cumulative evidence showing obesity is associated with changes in sleep quality and quantity, the study about the relationships between sleep and body composition is scarce, and whether the relationship is causal remains unknown. In this study, we examined whether there are causal associations between sleep and body composition. Methods First, we estimated genetic correlations between sleep-related phenotypes and body composition using the linkage disequilibrium score regression (LDSC). Mendelian randomization (MR) analysis was then conducted to test 2-way causal relationships on phenotypes with significant genetic associations. Finally, Bayesian colocalization (COLOC) analysis was performed to calculate the posterior probability of causal variation and identify the common genes to verify the results of MR. Results For the LDSC analysis, we observed some significant genetic correlations (rG), such as snoring and right leg fat mass (rG = 0.376, P = 7.21 × 10−80). For the MR analysis, we identified some significant causal relationships, such as snoring is the causal risk factor for whole-body fat-free mass (Pweighted median = 1.28 × 10−6, PMR-PRESSO = 1.35 × 10−7), dozing is the causal risk factor for right leg fat mass (Pweighted median = 9.22 × 10−4, PMR-PRESSO = 9.55 × 10−4), and right arm fat mass (Pweighted median = 1.11 × 10−40, PMR-PRESSO = 4.93 × 10−55) is the causal risk factor for snoring. For the COLOC analysis, we identified rs143384 mapping on GDF5 and 6 overlapped single nucleotide polymorphisms (eg, rs1421085, rs11642015) mapping on FTO. Conclusion Our study identified the causal relationships between sleep-related phenotypes and body composition. These findings may give insights into the mechanism of sleep disturbances and provide novel therapeutic targets.
    Type of Medium: Online Resource
    ISSN: 0021-972X , 1945-7197
    RVK:
    Language: English
    Publisher: The Endocrine Society
    Publication Date: 2022
    detail.hit.zdb_id: 2026217-6
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  • 4
    In: Molecular Brain, Springer Science and Business Media LLC, Vol. 14, No. 1 ( 2021-12)
    Abstract: Cumulative evidence shows that gut microbiome can influence brain function and behavior via the inflammatory processes. However, the role of interaction between gut dysbiosis and C-reactive protein (CRP) in the development of anxiety and depression remains to be elucidated. In this study, a total of 3321 independent single nucleotide polymorphism (SNP) loci associated with gut microbiome were driven from genome-wide association study (GWAS). Using individual level genotype data from UK Biobank, we then calculated the polygenetic risk scoring (PRS) of 114 gut microbiome related traits. Moreover, regression analysis was conducted to evaluate the possible effect of interaction between gut microbiome and CRP on the risks of Patient Health Questionnaire-9 (PHQ-9) (N = 113,693) and Generalized Anxiety Disorder-7 (GAD-7) (N = 114,219). At last, 11 candidate CRP × gut microbiome interaction with suggestive significance was detected for PHQ-9 score, such as F_Ruminococcaceae (β = − 0.009, P  = 2.2 × 10 –3 ), G_Akkermansia (β = − 0.008, P  = 7.60 × 10 –3 ), F_Acidaminococcaceae (β = 0.008, P  = 1.22 × 10 –2 ), G_Holdemanella (β = − 0.007, P  = 1.39 × 10 –2 ) and O_Lactobacillales (β = 0.006, P  = 1.79× 10 –2 ). 16 candidate CRP × gut microbiome interaction with suggestive significance was detected for GAD-7 score, such as O_Bacteroidales (β = 0.010, P  = 4.00×  10 –4 ), O_Selenomonadales (β = − 0.010, P  = 1.20 × 10 –3 ), O_Clostridiales (β = 0.009, P  = 2.70 × 10 –3 ) and G_Holdemanella (β = − 0.008, P  = 4.20 × 10 –3 ). Our results support the significant effect of interaction between CRP and gut microbiome on the risks of anxiety and depression, and identified several candidate gut microbiomes for them.
    Type of Medium: Online Resource
    ISSN: 1756-6606
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2021
    detail.hit.zdb_id: 2436057-0
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  • 5
    In: Clinical and Translational Medicine, Wiley, Vol. 9, No. 1 ( 2020-01)
    Abstract: To explore the genetic correlation between schizophrenia (SCZ) and osteoporosis (OP). Design, setting, participants, measurements We conducted a trans‐ethnic two‐stage genetic correlation analysis of OP and SCZ, totally invoking 2286 Caucasia subjects in discovery stage and 4124 Chinese subjects in replication stage. The bone mineral density (BMD) and bone area values of ulna & radius, hip and spine were measured using Hologic 4500W dual energy X‐ray absorptiometry machine. SCZ was diagnosed according to DSM‐IV criteria. For the genome‐wide association study (GWAS) of Caucasian OP, Chinese OP and Chinese SCZ, SNP genotyping was performed using Affymetrix SNP 6.0 array. For the GWAS of Caucasian SCZ, SNP genotyping was conducted using the Affymetrix 5.0 array, Affymetrix 6.0 array and Illumina 550 K array. Polygenetic risk scoring (PRS) analysis was conducted by PRSice software. Also, Linkage disequilibrium score regression (LD Score regression) analysis was performed to evaluate the genetic correlation between OP and SCZ. Multi‐trait analysis of GWAS (MTAG) was performed to detect novel candidate genes for osteoporosis and SCZ. Results In the Caucasia discovery samples, significant genetic correlations were observed for ulna & radius BMD vs. SCZ ( P value = 0.010), ulna & radius area vs. SCZ ( P value = 0.031). In the Chinese replication samples, we observed significant correlation for ulna & radius area vs. SCZ ( P value = 0.019). In addition, LD Score regression also identified significant genetic correlations between SCZ and bone phenotypes in Caucasian and Chinese sample respectively. MTAG analysis identified several novel candidate genes, such as CTNNA2 (MTAG P value = 2.24 × 10 −6 ) for SCZ and FADS2 (MTAG P value = 2.66 × 10 −7 ) for osteoporosis. Conclusions Our study results support the overlapped genetic basis for osteoporosis and SCZ, and provide novel clues for elucidating the biological mechanism of increased osteoporosis risk in SCZ patients.
    Type of Medium: Online Resource
    ISSN: 2001-1326 , 2001-1326
    Language: English
    Publisher: Wiley
    Publication Date: 2020
    detail.hit.zdb_id: 2697013-2
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  • 6
    In: Journal of Psychiatric Research, Elsevier BV, Vol. 147 ( 2022-03), p. 59-66
    Type of Medium: Online Resource
    ISSN: 0022-3956
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2022
    detail.hit.zdb_id: 1500641-4
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  • 7
    Online Resource
    Online Resource
    Frontiers Media SA ; 2022
    In:  Frontiers in Psychiatry Vol. 13 ( 2022-11-10)
    In: Frontiers in Psychiatry, Frontiers Media SA, Vol. 13 ( 2022-11-10)
    Abstract: Growing 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. Methods Using 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. Results We 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 ). Conclusion This 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.
    Type of Medium: Online Resource
    ISSN: 1664-0640
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2022
    detail.hit.zdb_id: 2564218-2
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  • 8
    In: Translational Psychiatry, Springer Science and Business Media LLC, Vol. 12, No. 1 ( 2022-07-25)
    Abstract: Multiple previous studies explored the associations between early life factors and the age at onset of the depression. However, they only focused on the influence of environmental or genetic factors, without considering the interactions between them. Based on previous genome-wide association study (GWAS) data, we first calculated polygenic risk score (PRS) for depression. Regression analyses were conducted to assess the interacting effects of depression PRS and 5 early life factors, including felt hated by family member ( N  = 40,112), physically abused by family ( N  = 40,464), felt loved ( N  = 35633), and sexually molested ( N  = 41,595) in childhood and maternal smoking during pregnancy ( N  = 38,309), on the age at onset of the depression. Genome-wide environment interaction studies (GWEIS) were then performed to identify the genes interacting with early life factors for the age at onset of the depression. In regression analyses, we observed significant interacting effects of felt loved as a child and depression PRS on the age at onset of depression in total sample ( β  = 0.708, P  = 5.03 × 10 −3 ) and males ( β  = 1.421, P  = 7.64 × 10 −4 ). GWEIS identified a novel candidate loci interacting with felt loved as a child at GSAP (rs2068031, P  = 4.24 × 10 –8 ) and detected several genes with suggestive significance association, such as CMYA5 (rs7343, P  = 2.03 × 10 –6 ) and KIRREL3 (rs535603, P  = 4.84 × 10 –6 ) in males. Our results indicate emotional care in childhood may affect the age at onset of depression, especially in males, and GSAP plays an important role in their interaction.
    Type of Medium: Online Resource
    ISSN: 2158-3188
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2022
    detail.hit.zdb_id: 2609311-X
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  • 9
    In: Translational Psychiatry, Springer Science and Business Media LLC, Vol. 13, No. 1 ( 2023-06-21)
    Abstract: The aim of this study was to investigate the possible interaction of mitochondrial dysfunction and inflammatory cytokines in the risk of anxiety and depression. We utilized the UK Biobank for the sample of this study. A mitochondria-wide association(MiWAS) and interaction analysis was performed to investigate the interaction effects of mitochondrial DNA (mtDNA)×C-reactive protein (CRP) on the risks of self-reported anxiety ( N  = 72,476), general anxiety disorder (GAD-7) scores ( N  = 80,853), self-reported depression ( N  = 80,778), Patient Health Questionnaire (PHQ-9) scores ( N  = 80,520) in total samples, females and males, respectively, adjusting for sex, age, Townsend deprivation index (TDI), education score, alcohol intake, smoking and 10 principal components. In all, 25 mtSNPs and 10 mtSNPs showed significant level of association with self-reported anxiety and GAD-7 score respectively. A total of seven significant mtDNA × CRP interactions were found for anxiety, such as m.3915G 〉 A( MT-ND1 ) for self-reported anxiety in total subjects ( P  = 6.59 × 10 −3 ), m.4561T 〉 C( MT-ND2 ) ( P  = 3.04 × 10 −3 ) for GAD-7 score in total subjects. For depression, MiWAS identified 17 significant mtSNPs for self-reported depression and 14 significant mtSNPs for PHQ-9 scores. 17 significant mtDNA associations (2 for self-reported depression and 15 for PHQ-9 score) was identified, such as m.14869G 〉 A( MT-CYB ; P  = 2.22 × 10 −3 ) associated with self-reported depression and m.4561T 〉 C ( MT-ND2 ; P value = 3.02 × 10 −8 ) associated with PHQ-9 score in all subjects. In addition, 5 common mtDNA shared with anxiety and depression were found in MiWAS, and 4 common mtDNA variants were detected to interact with CRP for anxiety and depression, such as m.9899T 〉 C( MT-CO3 ). Our study suggests the important interaction effects of mitochondrial function and CRP on the risks of anxiety and depression.
    Type of Medium: Online Resource
    ISSN: 2158-3188
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2023
    detail.hit.zdb_id: 2609311-X
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  • 10
    In: Brain Communications, Oxford University Press (OUP), Vol. 5, No. 2 ( 2023-03-02)
    Abstract: There is a strong link between irritable bowel syndrome and brain volumes, yet, to date, research examining the mediators of this association has been little. Based on the phenotypic data of 15 248 participants from the UK Biobank, a two-stage mediation analysis was performed to assess the association among brain volumes, anxiety, and irritable bowel syndrome. In the first stage, we identified the candidate mediating role of anxiety for irritable bowel syndrome associated with brain volumes using regression models. Then, we quantified the magnitude of the mediation effects by evaluating the average causal-mediated effect and proportion of mediation through performing mediation analyses in the R package in the second stage. In the first stage, we identified the partly mediating role of anxiety in the association between irritable bowel syndrome and the volume of thalamus (Pleft = 1.16 × 10−4, Pright = 2.41 × 10−4), and grey matter (Pleft = 3.22 × 10−2, Pright = 1.18 × 10−2) in the VIIIa cerebellum. In the second stage, we observed that the proportion of the total effect of irritable bowel syndrome on volume of thalamus mediated by anxiety was 14.3% for the left region (βAverage causal-mediated effect = −0.008, PAverage causal-mediated effect = 0.004) and 14.6% for the right region (βAverage causal-mediated effect = −0.007, PAverage causal-mediated effect = 0.006). Anxiety mediated 30.8% for the left region (βAverage causal-mediated effect = −0.013, PAverage causal-mediated effect = 0.002) and 21.6% for the right region (βAverage causal-mediated effect = −0.010, PAverage causal-mediated effect x= 0.018) of the total effect of irritable bowel syndrome on the volume of grey matter in the VIIIa cerebellum. Our study revealed the indirect mediating role of anxiety in the association between irritable bowel syndrome and brain volumes, promoting our understanding of the functional mechanisms of irritable bowel syndrome and its related psychosocial factors.
    Type of Medium: Online Resource
    ISSN: 2632-1297
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2023
    detail.hit.zdb_id: 3020013-1
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