Jing Guo, Ping Yang, Jia-Hao Wang, Shi-Hao Tang, Ji-Zhou Han, Shi Yao, Ke Yu, Cong-Cong Liu, Shan-Shan Dong, Kun Zhang, Yuan-Yuan Duan, Tie-Lin Yang, Yan Guo
{"title":"血液代谢物、神经认知和精神障碍:研究因果关系的孟德尔随机分析法","authors":"Jing Guo, Ping Yang, Jia-Hao Wang, Shi-Hao Tang, Ji-Zhou Han, Shi Yao, Ke Yu, Cong-Cong Liu, Shan-Shan Dong, Kun Zhang, Yuan-Yuan Duan, Tie-Lin Yang, Yan Guo","doi":"10.1038/s41398-024-03095-4","DOIUrl":null,"url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Background</h3><p>Neurocognitive dysfunction is observationally associated with the risk of psychiatric disorders. Blood metabolites, which are readily accessible, may become highly promising biomarkers for brain disorders. However, the causal role of blood metabolites in neurocognitive function, and the biological pathways underlying their association with psychiatric disorders remain unclear.</p><h3 data-test=\"abstract-sub-heading\">Methods</h3><p>To explore their putative causalities, we conducted bidirectional two-sample Mendelian randomization (MR) using genetic variants associated with 317 human blood metabolites (<i>n</i><sub>max</sub> = 215,551), g-Factor (an integrated index of multiple neurocognitive tests with <i>n</i><sub>max</sub> = 332,050), and 10 different psychiatric disorders (<i>n</i> = 9,725 to 807,553) from the large-scale genome-wide association studies of European ancestry. Mediation analysis was used to assess the potential causal pathway among the candidate metabolite, neurocognitive trait and corresponding psychiatric disorder.</p><h3 data-test=\"abstract-sub-heading\">Results</h3><p>MR evidence indicated that genetically predicted acetylornithine was positively associated with g-Factor (0.035 standard deviation units increase in g-Factor per one standard deviation increase in acetylornithine level; 95% confidence interval, 0.021 to 0.049; <i>P</i> = 1.15 × 10<sup>−6</sup>). Genetically predicted butyrylcarnitine was negatively associated with g-Factor (0.028 standard deviation units decrease in g-Factor per one standard deviation increase in genetically proxied butyrylcarnitine; 95% confidence interval, −0.041 to −0.015; <i>P</i> = 1.31 × 10<sup>−5</sup>). There was no evidence of associations between genetically proxied g-Factor and metabolites. Furthermore, the mediation analysis via two-step MR revealed that the causal pathway from acetylornithine to bipolar disorder was partly mediated by g-Factor, with a mediated proportion of 37.1%. Besides, g-Factor mediated the causal pathway from butyrylcarnitine to schizophrenia, with a mediated proportion of 37.5%. Other neurocognitive traits from different sources provided consistent findings.</p><h3 data-test=\"abstract-sub-heading\">Conclusion</h3><p>Our results provide genetic evidence that acetylornithine protects against bipolar disorder through neurocognitive abilities, while butyrylcarnitine has an adverse effect on schizophrenia through neurocognition. These findings may provide insight into interventions at the metabolic level for risk of neurocognitive and related disorders.</p>","PeriodicalId":23278,"journal":{"name":"Translational Psychiatry","volume":null,"pages":null},"PeriodicalIF":5.8000,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Blood metabolites, neurocognition and psychiatric disorders: a Mendelian randomization analysis to investigate causal pathways\",\"authors\":\"Jing Guo, Ping Yang, Jia-Hao Wang, Shi-Hao Tang, Ji-Zhou Han, Shi Yao, Ke Yu, Cong-Cong Liu, Shan-Shan Dong, Kun Zhang, Yuan-Yuan Duan, Tie-Lin Yang, Yan Guo\",\"doi\":\"10.1038/s41398-024-03095-4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<h3 data-test=\\\"abstract-sub-heading\\\">Background</h3><p>Neurocognitive dysfunction is observationally associated with the risk of psychiatric disorders. Blood metabolites, which are readily accessible, may become highly promising biomarkers for brain disorders. However, the causal role of blood metabolites in neurocognitive function, and the biological pathways underlying their association with psychiatric disorders remain unclear.</p><h3 data-test=\\\"abstract-sub-heading\\\">Methods</h3><p>To explore their putative causalities, we conducted bidirectional two-sample Mendelian randomization (MR) using genetic variants associated with 317 human blood metabolites (<i>n</i><sub>max</sub> = 215,551), g-Factor (an integrated index of multiple neurocognitive tests with <i>n</i><sub>max</sub> = 332,050), and 10 different psychiatric disorders (<i>n</i> = 9,725 to 807,553) from the large-scale genome-wide association studies of European ancestry. Mediation analysis was used to assess the potential causal pathway among the candidate metabolite, neurocognitive trait and corresponding psychiatric disorder.</p><h3 data-test=\\\"abstract-sub-heading\\\">Results</h3><p>MR evidence indicated that genetically predicted acetylornithine was positively associated with g-Factor (0.035 standard deviation units increase in g-Factor per one standard deviation increase in acetylornithine level; 95% confidence interval, 0.021 to 0.049; <i>P</i> = 1.15 × 10<sup>−6</sup>). Genetically predicted butyrylcarnitine was negatively associated with g-Factor (0.028 standard deviation units decrease in g-Factor per one standard deviation increase in genetically proxied butyrylcarnitine; 95% confidence interval, −0.041 to −0.015; <i>P</i> = 1.31 × 10<sup>−5</sup>). There was no evidence of associations between genetically proxied g-Factor and metabolites. 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Blood metabolites, neurocognition and psychiatric disorders: a Mendelian randomization analysis to investigate causal pathways
Background
Neurocognitive dysfunction is observationally associated with the risk of psychiatric disorders. Blood metabolites, which are readily accessible, may become highly promising biomarkers for brain disorders. However, the causal role of blood metabolites in neurocognitive function, and the biological pathways underlying their association with psychiatric disorders remain unclear.
Methods
To explore their putative causalities, we conducted bidirectional two-sample Mendelian randomization (MR) using genetic variants associated with 317 human blood metabolites (nmax = 215,551), g-Factor (an integrated index of multiple neurocognitive tests with nmax = 332,050), and 10 different psychiatric disorders (n = 9,725 to 807,553) from the large-scale genome-wide association studies of European ancestry. Mediation analysis was used to assess the potential causal pathway among the candidate metabolite, neurocognitive trait and corresponding psychiatric disorder.
Results
MR evidence indicated that genetically predicted acetylornithine was positively associated with g-Factor (0.035 standard deviation units increase in g-Factor per one standard deviation increase in acetylornithine level; 95% confidence interval, 0.021 to 0.049; P = 1.15 × 10−6). Genetically predicted butyrylcarnitine was negatively associated with g-Factor (0.028 standard deviation units decrease in g-Factor per one standard deviation increase in genetically proxied butyrylcarnitine; 95% confidence interval, −0.041 to −0.015; P = 1.31 × 10−5). There was no evidence of associations between genetically proxied g-Factor and metabolites. Furthermore, the mediation analysis via two-step MR revealed that the causal pathway from acetylornithine to bipolar disorder was partly mediated by g-Factor, with a mediated proportion of 37.1%. Besides, g-Factor mediated the causal pathway from butyrylcarnitine to schizophrenia, with a mediated proportion of 37.5%. Other neurocognitive traits from different sources provided consistent findings.
Conclusion
Our results provide genetic evidence that acetylornithine protects against bipolar disorder through neurocognitive abilities, while butyrylcarnitine has an adverse effect on schizophrenia through neurocognition. These findings may provide insight into interventions at the metabolic level for risk of neurocognitive and related disorders.
期刊介绍:
Psychiatry has suffered tremendously by the limited translational pipeline. Nobel laureate Julius Axelrod''s discovery in 1961 of monoamine reuptake by pre-synaptic neurons still forms the basis of contemporary antidepressant treatment. There is a grievous gap between the explosion of knowledge in neuroscience and conceptually novel treatments for our patients. Translational Psychiatry bridges this gap by fostering and highlighting the pathway from discovery to clinical applications, healthcare and global health. We view translation broadly as the full spectrum of work that marks the pathway from discovery to global health, inclusive. The steps of translation that are within the scope of Translational Psychiatry include (i) fundamental discovery, (ii) bench to bedside, (iii) bedside to clinical applications (clinical trials), (iv) translation to policy and health care guidelines, (v) assessment of health policy and usage, and (vi) global health. All areas of medical research, including — but not restricted to — molecular biology, genetics, pharmacology, imaging and epidemiology are welcome as they contribute to enhance the field of translational psychiatry.