Causal effect between circulating metabolic markers and glioma: a bidirectional, two-sample, Bayesian weighted Mendelian randomization
Abstract Glioma is the most common malignant tumor in the central nervous system with significant challenges for its treatment and prognosis. Based on publicly available genome-wide association study data, this study employed a bidirectional, two-sample Mendelian randomization (MR) analysis, combine...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Springer
2025-03-01
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| Series: | Discover Oncology |
| Online Access: | https://doi.org/10.1007/s12672-025-02050-z |
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| author | Jiachen Wang Chengzhuo Wang Shenglan Li Mengqian Huang Rong Zhang Yuxiao Chen Zhuang Kang Wenbin Li |
| author_facet | Jiachen Wang Chengzhuo Wang Shenglan Li Mengqian Huang Rong Zhang Yuxiao Chen Zhuang Kang Wenbin Li |
| author_sort | Jiachen Wang |
| collection | DOAJ |
| description | Abstract Glioma is the most common malignant tumor in the central nervous system with significant challenges for its treatment and prognosis. Based on publicly available genome-wide association study data, this study employed a bidirectional, two-sample Mendelian randomization (MR) analysis, combined with Bayesian weighted MR, to investigate the causal effect of 233 circulating metabolic traits on glioma and its subtypes, with the expectation of discovering new diagnostic and therapeutic targets. The MR study revealed that the Total cholesterol to total lipids ratio in large VLDL and the Ratio of polyunsaturated fatty acids to total fatty acids (PUFAbyFA) are risk factors for glioma, while free cholesterol or phospholipids in small HDL are protective against glioma. The free cholesterol to total lipids ratio in IDL, the ratios of total cholesterol or cholesteryl esters to total lipids in small or medium VLDL, as well as linoleic acid (LA 18:2), phosphatidylcholine, and sphingomyelins levels are risk factors for non-GBM glioma. Free cholesterol in small HDL is identified as a protective factor for non-GBM glioma. The results were robust to sensitivity analyses and Bayesian weighted mendelian randomization. The causal effects of glioma on circulating metabolites were explored through reverse mendelian randomization. The results provide potential biomarkers for the early diagnosis and treatment of glioma. |
| format | Article |
| id | doaj-art-c0d40d5daa35448db4fd8a7bbcd97a6a |
| institution | DOAJ |
| issn | 2730-6011 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Springer |
| record_format | Article |
| series | Discover Oncology |
| spelling | doaj-art-c0d40d5daa35448db4fd8a7bbcd97a6a2025-08-20T02:56:07ZengSpringerDiscover Oncology2730-60112025-03-0116111410.1007/s12672-025-02050-zCausal effect between circulating metabolic markers and glioma: a bidirectional, two-sample, Bayesian weighted Mendelian randomizationJiachen Wang0Chengzhuo Wang1Shenglan Li2Mengqian Huang3Rong Zhang4Yuxiao Chen5Zhuang Kang6Wenbin Li7Department of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical UniversityDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical UniversityDepartment of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical UniversityDepartment of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical UniversityDepartment of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical UniversityDepartment of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical UniversityDepartment of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical UniversityDepartment of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical UniversityAbstract Glioma is the most common malignant tumor in the central nervous system with significant challenges for its treatment and prognosis. Based on publicly available genome-wide association study data, this study employed a bidirectional, two-sample Mendelian randomization (MR) analysis, combined with Bayesian weighted MR, to investigate the causal effect of 233 circulating metabolic traits on glioma and its subtypes, with the expectation of discovering new diagnostic and therapeutic targets. The MR study revealed that the Total cholesterol to total lipids ratio in large VLDL and the Ratio of polyunsaturated fatty acids to total fatty acids (PUFAbyFA) are risk factors for glioma, while free cholesterol or phospholipids in small HDL are protective against glioma. The free cholesterol to total lipids ratio in IDL, the ratios of total cholesterol or cholesteryl esters to total lipids in small or medium VLDL, as well as linoleic acid (LA 18:2), phosphatidylcholine, and sphingomyelins levels are risk factors for non-GBM glioma. Free cholesterol in small HDL is identified as a protective factor for non-GBM glioma. The results were robust to sensitivity analyses and Bayesian weighted mendelian randomization. The causal effects of glioma on circulating metabolites were explored through reverse mendelian randomization. The results provide potential biomarkers for the early diagnosis and treatment of glioma.https://doi.org/10.1007/s12672-025-02050-z |
| spellingShingle | Jiachen Wang Chengzhuo Wang Shenglan Li Mengqian Huang Rong Zhang Yuxiao Chen Zhuang Kang Wenbin Li Causal effect between circulating metabolic markers and glioma: a bidirectional, two-sample, Bayesian weighted Mendelian randomization Discover Oncology |
| title | Causal effect between circulating metabolic markers and glioma: a bidirectional, two-sample, Bayesian weighted Mendelian randomization |
| title_full | Causal effect between circulating metabolic markers and glioma: a bidirectional, two-sample, Bayesian weighted Mendelian randomization |
| title_fullStr | Causal effect between circulating metabolic markers and glioma: a bidirectional, two-sample, Bayesian weighted Mendelian randomization |
| title_full_unstemmed | Causal effect between circulating metabolic markers and glioma: a bidirectional, two-sample, Bayesian weighted Mendelian randomization |
| title_short | Causal effect between circulating metabolic markers and glioma: a bidirectional, two-sample, Bayesian weighted Mendelian randomization |
| title_sort | causal effect between circulating metabolic markers and glioma a bidirectional two sample bayesian weighted mendelian randomization |
| url | https://doi.org/10.1007/s12672-025-02050-z |
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