Exploring the Causal Relationships Between Brain Functional Networks and Psychiatric Disorders: A Mendelian Randomization Approach DOI Creative Commons

Qiufen Xi,

Yu Sun, Jian Sun

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 25, 2024

Abstract Background: Numerous studies have reported brain functional network impairments in individuals with psychiatric disorders; however, the causal relationships between two remain unclear. We aimed to investigate potential resting-state magnetic resonance imaging (rsfMRI) phenotypes and disorders via Mendelian randomization (MR) analysis. Method: Employing a bidirectional two-sample MR analysis approach, this study assessed associations 191 rsfMRI 9 disorders. Genetic variations were utilized as instrumental variables, ensuring minimization of confounding factors accordance Mendel's laws inheritance. Causal inferences drawn by selecting genetic variants that directly associated exposure variables excluding those might influence outcomes alternative pathways. The employed various statistical methods, including inverse variance weighting, weighted median, Egger method, evaluate adjusted for false discovery rates among outcomes. Results: identified significant 21 five For instance, anxiety disorders, increased neural activity intensity parietal, frontal, temporal lobes, along enhanced connectivity attention, central executive, default mode networks, are significantly an risk With respect dementia, frontal lobe region was higher salience executive also linked dementia. Conclusion: findings support offering new insights future prevention treatment strategies.

Language: Английский

Causal association of immune cells and endometriosis: a Mendelian randomization study DOI Creative Commons

Xingyi Fang,

Qinghua Deng, Haili Yang

et al.

Frontiers in Endocrinology, Journal Year: 2024, Volume and Issue: 15

Published: May 29, 2024

Objective To investigate the causal effect of immune cells on endometriosis (EMS), we performed a Mendelian randomization analysis. Methods (MR) uses genetic variants as instrumental variables to effects exposures outcomes in observational data. In this study, conducted thorough two-sample MR analysis relationship between 731 and endometriosis. We used complementary methods, including weighted median estimator (WME) inverse variance (IVW), sensitivity analyses assess robustness our results. Results Four phenotypes have been found be significantly associated with risk developing EMS: B cell %lymphocyte (WME: OR: 1.074, p = 0.027 IVW: 1.058, 0.008), CD14 Mo MDSC 1.056, =0.021 1.047, 0.021), CD14+ CD16− monocyte %monocyte 0.947, 0.024 0.958, 0.011), CD25 unsw mem 1.055, 0.030 1.048, 0.003). Sensitivity confirmed main findings, demonstrating consistency across analyses. Conclusions Our provides compelling evidence for direct link EMS, thereby advancing understanding disease. It also new avenues opportunities development immunomodulatory therapeutic strategies future.

Language: Английский

Citations

3

Exploring correlations between immune cell phenotypes and the risk of epilepsy: A bidirectional Mendelian randomization study DOI
Zhiqing Chen,

Huaiyu Sun,

Wuqiong Zhang

et al.

Epilepsy & Behavior, Journal Year: 2024, Volume and Issue: 157, P. 109896 - 109896

Published: June 20, 2024

Language: Английский

Citations

2

Circulating inflammatory proteins and risk of Parkinson’s disease and other neurodegenerative disorders: a two-sample Mendelian randomization study DOI Open Access
Zhichun Chen, Guanglu Li, Liche Zhou

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: May 5, 2024

Abstract Background Accumulating studies have suggested associations between peripheral inflammation and neurodegenerative disorders, including Parkinson’s disease (PD). Objective To evaluate the causal 91 plasma inflammatory proteins 4 disorders. Methods Two-sample Mendelian randomization were performed using summary statistics extracted from genome-wide association of Results Genetically proxied tumor necrosis factor receptor superfamily member 9 levels causally associated with reduced risk PD (odds ratio [OR] = 0.82, 95% confidence interval [CI] 0.74-0.92, p 4.18 x 10 −4 , Bonferroni-corrected < 0.05 for proteins). Additionally, we identified potential C-C motif chemokine 20 (OR 1.14, 95%CI 1.03-1.25, 1.29 −2 ) Alzheimer’s disease, leukemia inhibitory 0.91, 0.84-0.98, 1.12 factor-β 0.95, 0.93-0.98, 1.01 −3 amyotrophic lateral sclerosis, adenosine deaminase 0.81, 0.71-0.94, 5.14 interleukin-18 0.69-0.96, 1.68 multiple sclerosis. Conclusions Our study unveils plausible circulating factors These findings hold promise promoting assessment prevention meriting further exploration.

Language: Английский

Citations

0

Circulating inflammatory proteins and risk of Parkinson’s disease and other neurodegenerative disorders: a two-sample Mendelian randomization study DOI Creative Commons
Zhichun Chen, Guanglu Li, Liche Zhou

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: May 6, 2024

Abstract Background: Accumulating studies have suggested associations between peripheral inflammation and neurodegenerative disorders, including Parkinson’s disease (PD). Objective: To evaluate the causal 91 plasma inflammatory proteins 4 disorders. Methods: Two-sample Mendelian randomization were performed using summary statistics extracted from genome-wide association of Results: Genetically proxied tumor necrosis factor receptor superfamily member 9 levels causally associated with reduced risk PD (odds ratio [OR] = 0.82, 95% confidence interval [CI] 0.74-0.92, p 4.18 x 10-4, Bonferroni-corrected < 0.05 for proteins). Additionally, we identified potential C-C motif chemokine 20 (OR 1.14, 95%CI 1.03-1.25, 1.29 10-2) Alzheimer’s disease, leukemia inhibitory 0.91, 0.84-0.98, 1.12 factor-β 0.95, 0.93-0.98, 1.01 10-3) amyotrophic lateral sclerosis, adenosine deaminase 0.81, 0.71-0.94, 5.14 interleukin-18 0.69-0.96, 1.68 multiple sclerosis. Conclusions: Our study unveils plausible circulating factors These findings hold promise promoting assessment prevention meriting further exploration.

Language: Английский

Citations

0

Exploring the Causal Relationships Between Brain Functional Networks and Psychiatric Disorders: A Mendelian Randomization Approach DOI Creative Commons

Qiufen Xi,

Yu Sun, Jian Sun

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 25, 2024

Abstract Background: Numerous studies have reported brain functional network impairments in individuals with psychiatric disorders; however, the causal relationships between two remain unclear. We aimed to investigate potential resting-state magnetic resonance imaging (rsfMRI) phenotypes and disorders via Mendelian randomization (MR) analysis. Method: Employing a bidirectional two-sample MR analysis approach, this study assessed associations 191 rsfMRI 9 disorders. Genetic variations were utilized as instrumental variables, ensuring minimization of confounding factors accordance Mendel's laws inheritance. Causal inferences drawn by selecting genetic variants that directly associated exposure variables excluding those might influence outcomes alternative pathways. The employed various statistical methods, including inverse variance weighting, weighted median, Egger method, evaluate adjusted for false discovery rates among outcomes. Results: identified significant 21 five For instance, anxiety disorders, increased neural activity intensity parietal, frontal, temporal lobes, along enhanced connectivity attention, central executive, default mode networks, are significantly an risk With respect dementia, frontal lobe region was higher salience executive also linked dementia. Conclusion: findings support offering new insights future prevention treatment strategies.

Language: Английский

Citations

0