Gut microbiota, skin microbiota, and alopecia areata: A Mendelian randomization study DOI Creative Commons
Zishun Li,

Changpu Zhao,

R Chen

и другие.

Skin Research and Technology, Год журнала: 2024, Номер 30(7)

Опубликована: Июль 1, 2024

Abstract Background Observational studies have shown an association between skin microbiota and alopecia areata (AA), but the causal connection remains ambiguous. Methods We obtained data on AA from summary statistics of Genome‐Wide Association Studies applied statistical methods Mendelian randomization (MR) to assess relationships. Additionally, we investigated whether acts as a mediator in pathway gut AA. Results In MR analysis KORA FF4 AA, inverse‐variance weighting method indicated that Corynebacterium (odds ratio [OR] = 0.82, 95% confidence interval [CI]: 0.70–0.96, p 0.02) asv037 (OR 0.87, CI: 0.76–0.99, 0.05) exerted protective effects, while Betaproteobacteria 1.21, 1.01–1.44, 0.03), asv015 1.27, 1.05–1.54, 0.02), Burkholderiales 1.20, 1.04–1.38, 0.01) were identified risk factors PopGen asv001 1.12, 1.01–1.24, 0.04), asv054 1.13, 1.01–1.25, asv059 1.14, 1.02–1.27, found potentially increase Furthermore, influence did not act mediator. Conclusion Our suggests potential relationships certain revealing insights into its pathogenesis intervention strategies.

Язык: Английский

The gut microbiota links disease to human genome evolution DOI
Yuan Quan, Kexin Zhang, Hongyu Zhang

и другие.

Trends in Genetics, Год журнала: 2023, Номер 39(6), С. 451 - 461

Опубликована: Март 3, 2023

Язык: Английский

Процитировано

20

Potential causal association between gut microbiome and posttraumatic stress disorder DOI Creative Commons
Qiang He, Wenjing Wang, Dingkang Xu

и другие.

Translational Psychiatry, Год журнала: 2024, Номер 14(1)

Опубликована: Янв. 31, 2024

Abstract Background The causal effects of gut microbiome and the development posttraumatic stress disorder (PTSD) are still unknown. This study aimed to clarify their potential association using mendelian randomization (MR). Methods summary-level statistics for were retrieved from a genome-wide (GWAS) MiBioGen consortium. As PTSD, Freeze 2 datasets originated Psychiatric Genomics Consortium Posttraumatic Stress Disorder Working Group (PGC-PTSD), replicated obtained FinnGen Single nucleotide polymorphisms meeting MR assumptions selected as instrumental variables. inverse variance weighting (IVW) method was employed main approach, supplemented by sensitivity analyses evaluate pleiotropy heterogeneity ensure robustness results. We also performed reverse explore PTSD’s on relative abundances specific features microbiome. Results In PGC-PTSD, eight bacterial traits revealed between PTSD (IVW, all P < 0.05). addition, Genus.Dorea genus.Sellimonas in datasets, which occurrence PTSD. further supported IVW findings, providing additional evidence reliability. Conclusion Our provides impact microbiomes shedding new light understanding dysfunctional gut-brain axis this disorder. findings present novel call investigations confirm links, well illuminate underlying mechanisms.

Язык: Английский

Процитировано

9

Gut microbiome and major depressive disorder: insights from two-sample Mendelian randomization DOI Creative Commons
Qian Zhao, Ancha Baranova, Hongbao Cao

и другие.

BMC Psychiatry, Год журнала: 2024, Номер 24(1)

Опубликована: Июль 8, 2024

Abstract Background Existing evidence suggests that alterations in the gut microbiome are closely associated with major depressive disorder (MDD). We aimed to reveal causal relationships between MDD and various microbial taxa gut. Methods used two-sample Mendelian randomization (TSMR) explore bidirectional effects microbiota MDD. The genome-wide association studies summary results of were obtained from two large consortia, MibioGen consortium Dutch Microbiome Project, which we analyzed separately. Results Our TSMR analysis identified 10 bacterial protective against MDD, including phylum Actinobacteria , order Clostridiales family Bifidobacteriaceae (OR: 0.96 ∼ 0.98). Ten an increased risk phyla Firmicutes Proteobacteria class genus Alistipes 1.01 1.09). On other hand, may decrease abundance 12 taxa, families Defluviitaleaceae 0.63 0.88). increase 8 Bacteroidetes genera Parabacteroides Bacteroides 1.12 1.43). Conclusions study supports there mutual certain development suggesting be targeted treatment

Язык: Английский

Процитировано

9

Gut microbiota and cognitive performance: A bidirectional two-sample Mendelian randomization DOI
Qian Wang,

Yu-xiang Song,

Xiaodong Wu

и другие.

Journal of Affective Disorders, Год журнала: 2024, Номер 353, С. 38 - 47

Опубликована: Фев. 27, 2024

Язык: Английский

Процитировано

8

Exploration of the Gut Microbiome in Thai Patients with Major Depressive Disorder Shows a Specific Bacterial Profile with Depletion of the Ruminococcus Genus as a Putative Biomarker DOI Creative Commons
Michaël Maes, Asara Vasupanrajit, Ketsupar Jirakran

и другие.

Cells, Год журнала: 2023, Номер 12(9), С. 1240 - 1240

Опубликована: Апрель 25, 2023

Maes et al. (2008) published the first paper demonstrating that major depressive disorder (MDD) is accompanied by abnormalities in microbiota–gut–brain axis, as evidenced elevated serum IgM/IgA to lipopolysaccharides (LPS) of Gram-negative bacteria, such Morganella morganii and Klebsiella Pneumoniae. The latter aberrations, which point increased gut permeability (leaky gut), are linked activated neuro-immune oxidative pathways MDD. To delineate profile composition microbiome Thai patients with MDD, we examined fecal samples 32 MDD 37 controls using 16S rDNA sequencing, analyzed α- (Chao1 Shannon indices) β-diversity (Bray–Curtis dissimilarity), conducted linear discriminant analysis (LDA) effect size (LEfSe) analysis. Neither nor differed significantly between controls. Rhodospirillaceae, Hungatella, Clostridium bolteae, Hungatella hathewayi, propionicum were enriched while Gracillibacteraceae family, Lutispora, Ruminococcus genus, callidus, Desulfovibrio piger, Coprococcus comes, Gemmiger Contradictory results have been reported for all these taxa, exception Ruminococcus, depleted six different studies (one study showed abundance), many medical disorders show comorbidities animal models. Our may suggest a specific compositional dysbiosis patients, increases some pathobionts depletion beneficial microbiota. be more universal biomarker contribute enteral LPS load, translocation, gut–brain axis abnormalities.

Язык: Английский

Процитировано

17

Gut microbiota and risk of endocarditis: a bidirectional Mendelian randomization study DOI Creative Commons
Meng-Yue Yang,

Wen Bi,

Zhijie Zhang

и другие.

Frontiers in Microbiology, Год журнала: 2024, Номер 15

Опубликована: Янв. 17, 2024

Background The associations between gut microbiota and cardiovascular disease have been reported in previous studies. However, the relationship endocarditis remains unclear. Methods A bidirectional Mendelian randomization (MR) study was performed to detect association endocarditis. Inverse variance weighted (IVW) method considered main result. Simultaneously, heterogeneity pleiotropy tests were conducted. Results Our suggests that family Victivallaceae ( p = 0.020), genus Eubacterium fissicatena group 0.047), Escherichia Shigella 0.024), Peptococcus 0.028) Sellimonas 0.005) play protective roles Two microbial taxa, including Blautia 0.006) Ruminococcus2 0.024) increase risk of At same time, has a negative effect on 0.048). Besides, no or found this study. Conclusion emphasized certain role specific patients with clarified microbiota.

Язык: Английский

Процитировано

5

Causal associations between human gut microbiota and osteomyelitis: a Mendelian randomization study DOI Creative Commons

Wenxing Zeng,

Yuheng Wu,

Xiaoye Liang

и другие.

Frontiers in Cellular and Infection Microbiology, Год журнала: 2024, Номер 14

Опубликована: Апрель 9, 2024

Background Recent studies have emphasized the role of gut microbiota in onset and progression osteomyelitis. However, exact types their mechanisms action remain unclear. Additionally, there is a lack theoretical support for treatments that improve osteomyelitis by altering microbiota. Methods In our study, we utilized largest genome-wide association study (GWAS) meta-analysis to date from MiBioGen consortium, involving 13,400 participants. The GWAS data were sourced UK Biobank, which included 4,836 cases 486,484 controls. We employed two-sample Mendelian randomization framework detailed investigation into causal relationship between Our methods inverse variance weighting, MR-Egger, weighted median, mode approaches. applied Cochran’s Q statistic assess heterogeneity instrumental variable. Results At class level, Bacilli Bacteroidia positively correlated with risk order only Bacteroidales showed positive genus an increased abundance Butyricimonas , Coprococcus3 Tyzzerella3 was associated osteomyelitis, whereas Lachnospira negatively associated. Sensitivity analyses no evidence or pleiotropy. Conclusion This reveals classes Bacteroidia, Bacteroidales, genera are implicated increasing while reduced risk. Future investigations warranted elucidate precise through these specific bacterial groups influence pathophysiology

Язык: Английский

Процитировано

4

Dissecting the association between gut microbiota, body mass index and specific depressive symptoms: a mediation Mendelian randomisation study DOI Creative Commons
Tong Yu, Chengfeng Chen, Yuqing Yang

и другие.

General Psychiatry, Год журнала: 2024, Номер 37(4), С. e101412 - e101412

Опубликована: Июль 2, 2024

Observational studies highlight the association between gut microbiota (GM) composition and depression; however, evidence for causal relationship GM specific depressive symptoms remains lacking.

Язык: Английский

Процитировано

4

Association between gut microbiota and endometriosis: a two-sample Mendelian randomization study DOI Creative Commons
Xuan Ji, Qi Yang,

Xiulin Zhu

и другие.

Frontiers in Microbiology, Год журнала: 2023, Номер 14

Опубликована: Сен. 27, 2023

Background Recent studies have shown that an imbalance in gut microbiota (GM) may not always be associated with endometriosis (EMS). To investigate this further, we conducted a two-sample Mendelian randomization study. Methods MR analysis was performed on genome-wide association study (GWAS) summary statistics of GM and EMS. Specifically, the MiBioGen GWAS ( N = 18,340) used as exposure. The FinnGen (8,288 EMS cases 68,969 controls) outcome. We primarily inverse variance weighted (IVW) method to analyze correlation sensitivity verify its reliability. Results (1) analysis: results IVW confirmed total 8 taxa were related risk Class- Melainabacteria p 0.036), family- Ruminococcaceae 0.037), genus- Eubacteriumruminantium 0.015) had protective effect EMS, whereas order -Bacillales 0.046), family -Prevotellaceae 0.027), genus -Anaerotruncus 0.025), -Olsenella 0.036) RuminococcaceaeUCG002 0.035) could increase (2) Sensitivity Cochrane’s Q test &gt; 0.05), MR-Egger intercept leave-one-out robustness results. Conclusion This two large national databases identified between These potentially utilized for indirectly diagnosing lead novel perspectives research regarding pathogenesis, diagnosis, treatment

Язык: Английский

Процитировано

9

Causal relationship between gut microbiome and sex hormone‐binding globulin: A bidirectional two‐sample Mendelian randomization study DOI
Ziqiao Yan, Zheng Zheng,

Tiantian Xia

и другие.

American Journal of Reproductive Immunology, Год журнала: 2024, Номер 91(2)

Опубликована: Фев. 1, 2024

Abstract Problem Currently, there is a variety of evidence linking the gut microbiota to changes in sex hormones. In contrast, causal relationship between SHBG, carrier hormones, and unclear. Method Study Bidirectional two‐sample Mendelian randomization (MR) analysis was used detect effect SHBG microbiome. Summary statistics genome‐wide association studies (GWASs) for microbiome were obtained from public datasets. Inverse‐variance weighting (IVW), weighted median, mode, MR‐Egger simple mode methods operate MR analysis. F ‐statistics sensitivity analyses performed evaluate bias reliability. Results When we set as exposure outcome, identified nine relationships. males, Coprobacter (PIVW = 2.01 × 10 −6 ), Ruminococcus 2 3.40 −5 Barnesiella 2.79 −2 Actinobacteria 3.25 ) Eubacterium fissicatena groups 3.64 associated with lower levels; Alphaproteobacteria 1.61 higher levels. females, Lachnoclostridium 9.75 −3 Defluviitaleaceae UCG011 3.67 Victivallaceae 2.23 According results reverse analysis, three significant found on microbiota. Dorea 4.17 Clostridiales 4.36 7.44 −4 higherr No signifcant heterogeneity instrumental variables or horizontal pleiotropy bidirectional Conclusions This study may provide new insights into hormone‐binding protein levels, well treatment prevention strategies diseases such abnormal

Язык: Английский

Процитировано

3