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Liposomes have a direct effect on multiple myeloma: a Mendelian randomization study.
Yingbin Zhong1,2,3,4, Yanhao Li1, Weipeng Sun5
1Guangzhou University of Chinese Medicine, Guangzhou, China.
Frontiers in Oncology
|June 27, 2024
Summary
This study used Mendelian randomization to investigate the link between plasma lipids and multiple myeloma (MM). Certain lipids like triacylglycerol increase MM risk, while others, such as phospholipids, may offer protection.
Area of Science:
- Genetics
- Biochemistry
- Oncology
Background:
- Multiple myeloma (MM) is a plasma cell malignancy influenced by genetic factors.
- The role of plasma liposomes in MM etiology requires further elucidation.
- This study investigates the causal relationship between plasma liposomes and MM risk.
Purpose of the Study:
- To explore the potential causal relationship between plasma liposome components and multiple myeloma (MM) risk.
- To utilize Mendelian randomization (MR) analysis for robust genetic association.
- To identify specific lipid biomarkers associated with MM development.
Main Methods:
- Mendelian randomization (MR) analysis was performed using genetic instrumental variables (IVs) from plasma lipidomics data.
- A large pooled dataset from Genome-Wide Association Studies (GWAS) for MM was utilized.
- Multiple MR methods and sensitivity analyses were employed to ensure validity and assess bias.
Main Results:
- 88 robust genetic instrumental variables (IVs) were identified for MR analysis.
- Six plasma liposome components showed significant associations with MM risk.
- Elevated triacylglycerol and phosphatidylinositol levels were positively associated with MM risk.
- Certain phospholipids and sterol esters demonstrated a negative association, suggesting a protective effect.
Conclusions:
- Plasma liposome components exhibit a complex relationship with multiple myeloma (MM) risk.
- Specific lipids like triacylglycerol and phosphatidylinositol may increase MM risk.
- Other lipids, including phospholipids and sterol esters, may confer a protective effect against MM.
Keywords:
Mendelian randomizationcausal relationshipgenome‐wide association studyliposomemultiple myelomasingle nucleotide polymorphisms
