Metabolome-Wide Mendelian Randomization Assessing the Causal Role of Serum and Cerebrospinal Metabolites in Traumatic Brain Injury

• Published in: Biomedicines 2024-05, Vol.12 (6), p.1178
• Main Authors: Duan, Aojie, Qiu, Youjia, Song, Bingyi, Tao, Yuchen, Wang, Menghan, Yin, Ziqian, Xie, Minjia, Chen, Zhouqing, Wang, Zhong, Sun, Xiaoou
• Format: Article
• Language: English
• Subjects: Acetaminophen; Amino acids; Analysis; Biomarkers; Brain; Brain research; Carbohydrates; causal inference; Causality; Cerebrospinal fluid; cerebrospinal fluid metabolites; Creatinine; Estimates; Genetic diversity; Genome-wide association studies; Genomes; Genomics; Injuries; Mendelian randomization; metabolic pathway; Metabolic pathways; Metabolism; Metabolites; Methods; Peptides; Quality control; Sensitivity analysis; serum metabolites; Software; Statistical analysis; Statistics; Sulfates; Therapeutic targets; Traumatic brain injury
• ISSN: 2227-9059; 2227-9059
• DOI: 10.3390/biomedicines12061178

Previous studies have identified metabolites as biomarkers or potential therapeutic targets for traumatic brain injury (TBI). However, the causal association between them remains unknown. Therefore, we investigated the causal effect of serum metabolites and cerebrospinal fluid (CSF) metabolites on TBI susceptibility through Mendelian randomization (MR). Genetic variants related to metabolites and TBI were extracted from a corresponding genome-wide association study (GWAS). Causal effects were estimated through the inverse variance weighted approach, supplemented by a weighted median, weight mode, and the MR-Egger test. In addition, sensitivity analyses were further performed to evaluate the stability of the MR results, including the MR-Egger intercept, leave-one-out analysis, Cochrane's Q-test, and the MR-PRESSO global test. Metabolic pathway analysis was applied to uncover the underlying pathways of the significant metabolites in TBI. In blood metabolites, substances such as 4-acetaminophen sulfate and kynurenine showed positive links, whereas beta-hydroxyisovalerate and creatinine exhibited negative correlations. CSF metabolites such as N-formylanthranilic acid were positively related, while kynurenate showed negative associations. The metabolic pathway analysis highlighted the potential biological pathways involved in TBI. Of these 16 serum metabolites, 11 CSF metabolites and metabolic pathways may serve as useful circulating biomarkers in clinical screening and prevention, and may be candidate molecules for the exploration of mechanisms and drug targets.