Craniosynostosis is a congenital disorder characterized by the premature fusion of cranial sutures, leading to abnormal skull development and potential neurodevelopmental complications. The role of metabolic influences in craniosynostosis remains underexplored. This study investigates the causal relationship between specific blood metabolites and the risk of craniosynostosis using a 2-sample Mendelian randomization (MR) approach. Genetic instruments were selected from a genome-wide association study on blood metabolites and craniosynostosis data from the FinnGen database. The MR analysis was conducted using inverse variance weighted regression as the primary method, with MR-Egger and weighted median methods as sensitivity analyses. Additional tests for pleiotropy and heterogeneity were performed to validate the robustness of the findings. The analysis identified significant associations between elevated levels of gamma-glutamylglycine [odds ratio (OR) = 2.379, 95% CI = 1.261-4.488, P = 0.007], N6-acetyllysine (OR = 2.731, 95% CI = 1.081-6.901, P = 0.034), phosphocholine (OR = 2.205, 95% CI = 1.226-3.658, P = 0.038) and glycine (OR = 2.118, 95% CI = 1.226-3.658, P = 0.007) with an increased risk of craniosynostosis. Conversely, higher levels of 3-hydroxy-2-methylpyridine sulfate (OR = 0.411, 95% CI = 0.1717-0.988, P = 0.047) and 5,6-dihydrothymine (OR = 0.293, 95% CI = 0.098-0.876, P = 0.028) were associated with reduced risk. Sensitivity analyses confirmed the robustness of these findings, with no significant evidence of pleiotropy or heterogeneity detected. This study provides evidence that specific blood metabolites may causally influence the risk of craniosynostosis, suggesting potential metabolic pathways that could be targeted for therapeutic intervention. These findings help to develop metabolite-based strategies for the prevention and treatment of craniosynostosis.
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http://dx.doi.org/10.1097/SCS.0000000000010839 | DOI Listing |
The quality of biological samples used in metabolomics research is significantly influenced by preanalytical factors, such as the timing of centrifugation and freezing. This study aimed to evaluate how preanalytical factors, like delays in centrifugation and freezing, affect metabolomics research. Blood samples, collected in various tube types, were subjected to controlled pre- and postcentrifugation delays.
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Vascular Surgery Research Laboratories, Division of Vascular and Endovascular Surgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA -
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CAS Key Laboratory of Nutrition, Metabolism, and Food Safety, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences (CAS), Shanghai 200031, China.
Dyslipidemia affects approximately half of all people with gout, and prior Mendelian randomization analysis suggested a causal role for elevated triglycerides in hyperuricemia (HU), but the underlying mechanisms remain elusive. We hypothesize that dyslipidemia promotes hepatic urate biosynthesis in HU and gout and fatty acid (FA) oxidation (FAO) drives this process. Here we developed a targeted metabolomics to quantify major metabolites in purine metabolic pathway in the sera of a human cohort with HU, gout, and normaluricemic controls.
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Center for Memory Disturbances, Laboratory of Clinical Neurochemistry, Section of Neurology, Department of Medicine and Surgery, University of Perugia, Perugia, 06129, Italy.
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