Plasma lipidome, circulating inflammatory proteins, and Parkinson's disease: a Mendelian randomization study

被引:4
作者
Qin, Yidan [1 ]
Wang, Lin [1 ]
Song, Jia [1 ]
Quan, Wei [1 ]
Xu, Jing [1 ]
Chen, Jiajun [1 ]
机构
[1] Jilin Univ, China Japan Union Hosp, Dept Neurol, Changchun, Jilin, Peoples R China
关键词
Parkinson's disease; plasma lipidome; circulating inflammatory proteins; Mendelian randomization; causal relationship; ACTIVATION; RISK;
D O I
10.3389/fnagi.2024.1424056
中图分类号
R592 [老年病学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 100203 ;
摘要
Background Observational studies have suggested that plasma lipidome play a pivotal role in the occurrence of Parkinson's disease (PD). However, it remains unknown which lipids among plasma lipidome affect PD and how they exert their influence. Clarity is lacking regarding the causal relationship between plasma lipidome and PD, as well as whether circulating inflammatory proteins serve as mediators.Methods Single nucleotide polymorphisms (SNPs) significantly associated with 179 plasma lipidome were selected as instrumental variables to assess their causal impact on PD. PD data, serving as the outcome, were sourced from the International Parkinson's Disease Genomics Consortium, which boasts the largest sample size to date. The inverse variance weighted (IVW), Weighted median method, MR-Egger method, Simple mode method, Weighted mode method and MR-PRESSO were employed to evaluate the influence of the 179 plasma lipidome on PD. Heterogeneity, pleiotropy tests, and reverse causality analyses were conducted accordingly. Additionally, we analyzed the causal relationship between 91 circulating inflammatory proteins and PD, exploring whether these proteins serve as mediators in the pathway from plasma lipidome to PD.Results Among the 179 plasma lipidome, three were found to be associated with a reduced risk of PD: Phosphatidylcholine (14:0_18:2) (IVW, OR = 0.877; 95%CI, 0.787-0.978; p = 0.018), Phosphatidylcholine (16:0_16:1) levels (IVW, OR = 0.835; 95%CI, 0.717-0.973; p = 0.021), and Phosphatidylcholine (O-17:0_17:1) levels (IVW, OR = 0.854; 95%CI, 0.779-0.936; p = 0.001). Meanwhile, Sphingomyelin (d38:1) was linked to an increased risk of PD (IVW, OR = 1.095; 95%CI, 1.027-1.166; p = 0.005). Among the 91 circulating inflammatory proteins, three were associated with a lower PD risk: Fibroblast growth factor 21 levels (IVW, OR = 0.817; 95%CI, 0.674-0.990; p = 0.039), Transforming growth factor-alpha levels (IVW, OR = 0.825; 95%CI, 0.683-0.998; p = 0.048), and Tumor necrosis factor receptor superfamily member 9 levels (IVW, OR = 0.846; 95%CI, 0.744-0.963; p = 0.011). Two were associated with a higher risk of PD: Interleukin-17A levels (IVW, OR = 1.285; 95%CI, 1.051-1.571; p = 0.014) and TNF-beta levels (IVW, OR = 1.088; 95%CI, 1.010-1.171; p = 0.026). Additionally, a positive correlation was observed between Phosphatidylcholine (14:0_18:2) levels and Fibroblast growth factor 21 levels (IVW, OR = 1.125; 95%CI, 1.006-1.257; p = 0.038), suggesting that Fibroblast growth factor 21 levels may serve as a mediating factor in the pathway between Phosphatidylcholine (14.0_18.2) levels and PD. The mediation effect was estimated to be -0.024, accounting for approximately 18% of the total effect.Conclusion Both plasma lipidome and circulating inflammatory proteins demonstrate a causal relationship with PD. Additionally, circulating inflammatory proteins may serve as mediators in the pathway from plasma lipidome to PD. These findings may contribute to the prediction and diagnosis of PD and potentially pave the way for targeted therapies in the future.
引用
收藏
页数:9
相关论文
共 55 条
[1]   Altered ceramide acyl chain length and ceramide synthase gene expression in Parkinson's disease [J].
Abbott, Sarah K. ;
Li, Hongyun ;
Munoz, Sonia Sanz ;
Knoch, Bianca ;
Batterham, Marijka ;
Murphy, Karen E. ;
Halliday, Glenda M. ;
Garner, Brett .
MOVEMENT DISORDERS, 2014, 29 (04) :518-526
[2]   Neuroprotective and Anti-Inflammatory Effects of Linoleic Acid in Models of Parkinson's Disease: The Implication of Lipid Droplets and Lipophagy [J].
Alarcon-Gil, Jesus ;
Sierra-Magro, Ana ;
Morales-Garcia, Jose A. ;
Sanz-SanCristobal, Marina ;
Alonso-Gil, Sandra ;
Cortes-Canteli, Marta ;
Niso-Santano, Mireia ;
Martinez-Chacon, Guadalupe ;
Fuentes, Jose M. ;
Santos, Angel ;
Perez-Castillo, Ana .
CELLS, 2022, 11 (15)
[3]   Lipidomics Prediction of Parkinson's Disease Severity: A Machine-Learning Analysis [J].
Avisar, Hila ;
Guardia-Laguarta, Cristina ;
Area-Gomez, Estela ;
Surface, Matthew ;
Chan, Amanda K. ;
Alcalay, Roy N. ;
Lerner, Boaz .
JOURNAL OF PARKINSONS DISEASE, 2021, 11 (03) :1141-1155
[4]   Brain lipidomics as a rising field in neurodegenerative contexts: Perspectives with Machine Learning approaches [J].
Baez Castellanos, Daniel ;
Martin-Jimenez, Cynthia A. ;
Rojas-Rodriguez, Felipe ;
Barreto, George E. ;
Gonzalez, Janneth .
FRONTIERS IN NEUROENDOCRINOLOGY, 2021, 61
[5]  
Beitz Janice M, 2014, Front Biosci (Schol Ed), V6, P65
[6]   Glycosphingolipids and neuroinflammation in Parkinson's disease [J].
Belarbi, Karim ;
Cuvelier, Elodie ;
Bonte, Marie-Amandine ;
Desplanque, Mazarine ;
Gressier, Bernard ;
Devos, David ;
Chartier-Harlin, Marie-Christine .
MOLECULAR NEURODEGENERATION, 2020, 15 (01)
[7]   A review of instrumental variable estimators for Mendelian randomization [J].
Burgess, Stephen ;
Small, Dylan S. ;
Thompson, Simon G. .
STATISTICAL METHODS IN MEDICAL RESEARCH, 2017, 26 (05) :2333-2355
[8]  
Burgess S, 2017, EUR J EPIDEMIOL, V32, P377, DOI 10.1007/s10654-017-0255-x
[9]   Alterations of Sphingolipid and Phospholipid Pathways and Ornithine Level in the Plasma as Biomarkers of Parkinson's Disease [J].
Chang, Kuo-Hsuan ;
Cheng, Mei-Ling ;
Tang, Hsiang-Yu ;
Huang, Cheng-Yu ;
Wu, Hsiu-Chuan ;
Chen, Chiung-Mei .
CELLS, 2022, 11 (03)
[10]   Mammalian lipids: structure, synthesis and function [J].
Cockcroft, Shamshad .
UNDERSTANDING BIOCHEMISTRY 7, 2021, 65 (05) :813-845