{"title":"The Causal Relationship between Lipid Metabolites and Multiple Myeloma Risk: A Mendelian Randomization Study.","authors":"Jian Tao, Ling Wang, Zheyun Gu","doi":"10.1159/000548566","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Research has demonstrated a potential link between lipid metabolites and multiple myeloma (MM); however, the causal relationship remains uncertain. This Mendelian randomization (MR) study aimed to explore the potential causal relationship between lipid metabolites and MM.</p><p><strong>Methods: </strong>In this study, data on lipid metabolites were obtained from a genome-wide association study of metabolites in blood samples from 7,824 Europeans. Genetic information related to MM came from the UK Biobank database, encompassing 601 patients with MM and 372,016 control samples. In this MR analysis, inverse-variance weighted method was used as the primary analysis method; MR Egger and weighted median were employed as complementary approaches. Sensitivity analyses were conducted using the Cochran Q test, MR-Egger intercept, MR-PRESSO, and leave-one-out analysis.</p><p><strong>Results: </strong>A total of 121 human lipid metabolites were analyzed in this MR study. The analysis result revealed that 1-docosahexaenoyl-glycerophosphocholine [odds ratio (OR) = 1.0059, 95% confidence interval (CI) 1.0043-1.0076, P < 0.01 , FDR = 0.12], tetradecanedioate (OR = 1.0007, 95% CI 1-1.0013, P = 0.0498 , FDR = 0.23), and X-12990-docosapentaenoic acid (OR = 1.0029, 95% CI 1.0015-1.0044, P < 0.01 , FDR = 0.15) were linked to an increased risk of MM. As for palmitoleate (OR = 0.9972, 95% CI 0.9947-0.9997, P = 0.0299 , FDR = 0.19) , a nominal inverse association was observed. None of these associations reached statistical significance after FDR correction (all FDR > 0.05). Sensitivity analyses verified the robustness of these nominally significant results.</p><p><strong>Conclusion: </strong>Genetic evidence demonstrated nominal associations of 1-docosahexaenoyl-sn-glycero-3-phosphocholine, tetradecanedioate, X-12990-eicosapentaenoic acid, and palmitoleate with MM risk, though these did not survive FDR correction. While these findings suggest potential metabolic pathways in MM pathogenesis, further validation is required before considering these compounds as biomarkers for clinical screening or drug target selection.</p>","PeriodicalId":6981,"journal":{"name":"Acta Haematologica","volume":" ","pages":"1-14"},"PeriodicalIF":1.1000,"publicationDate":"2025-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Acta Haematologica","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1159/000548566","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"HEMATOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Introduction: Research has demonstrated a potential link between lipid metabolites and multiple myeloma (MM); however, the causal relationship remains uncertain. This Mendelian randomization (MR) study aimed to explore the potential causal relationship between lipid metabolites and MM.
Methods: In this study, data on lipid metabolites were obtained from a genome-wide association study of metabolites in blood samples from 7,824 Europeans. Genetic information related to MM came from the UK Biobank database, encompassing 601 patients with MM and 372,016 control samples. In this MR analysis, inverse-variance weighted method was used as the primary analysis method; MR Egger and weighted median were employed as complementary approaches. Sensitivity analyses were conducted using the Cochran Q test, MR-Egger intercept, MR-PRESSO, and leave-one-out analysis.
Results: A total of 121 human lipid metabolites were analyzed in this MR study. The analysis result revealed that 1-docosahexaenoyl-glycerophosphocholine [odds ratio (OR) = 1.0059, 95% confidence interval (CI) 1.0043-1.0076, P < 0.01 , FDR = 0.12], tetradecanedioate (OR = 1.0007, 95% CI 1-1.0013, P = 0.0498 , FDR = 0.23), and X-12990-docosapentaenoic acid (OR = 1.0029, 95% CI 1.0015-1.0044, P < 0.01 , FDR = 0.15) were linked to an increased risk of MM. As for palmitoleate (OR = 0.9972, 95% CI 0.9947-0.9997, P = 0.0299 , FDR = 0.19) , a nominal inverse association was observed. None of these associations reached statistical significance after FDR correction (all FDR > 0.05). Sensitivity analyses verified the robustness of these nominally significant results.
Conclusion: Genetic evidence demonstrated nominal associations of 1-docosahexaenoyl-sn-glycero-3-phosphocholine, tetradecanedioate, X-12990-eicosapentaenoic acid, and palmitoleate with MM risk, though these did not survive FDR correction. While these findings suggest potential metabolic pathways in MM pathogenesis, further validation is required before considering these compounds as biomarkers for clinical screening or drug target selection.
期刊介绍:
''Acta Haematologica'' is a well-established and internationally recognized clinically-oriented journal featuring balanced, wide-ranging coverage of current hematology research. A wealth of information on such problems as anemia, leukemia, lymphoma, multiple myeloma, hereditary disorders, blood coagulation, growth factors, hematopoiesis and differentiation is contained in first-rate basic and clinical papers some of which are accompanied by editorial comments by eminent experts. These are supplemented by short state-of-the-art communications, reviews and correspondence as well as occasional special issues devoted to ‘hot topics’ in hematology. These will keep the practicing hematologist well informed of the new developments in the field.