Lewis Freeman, Shoieb Daniel, Azmoun Somaiyeh, Colicino Elena, Jin Yan, Chi Jinhua, Gu Haiwei, Placidi Donatella, Padovani Alessandro, Pilotto Andrea, Pepe Fulvio, Turla Marinella, Crippa Patrizia, Wang Xuexia, Lucchini Roberto G
Environmental Health Sciences, Florida International University, 11200 SW 8th St, Miami, 33199, Florida, USA.
Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, Viale Europa 11, Brescia, 25123, Italy.
medRxiv. 2024 Sep 6:2024.09.04.24313002. doi: 10.1101/2024.09.04.24313002.
Excessive Manganese (Mn) exposure is neurotoxic and can cause Mn-Induced Parkinsonism (MnIP), marked by cognitive and motor dysfunction. Although metabolomic and lipidomic research in Parkinsonism (PD) patients exists, it remains limited. This study hypothesizes distinct metabolomic and lipidomic profiles based on exposure status, disease diagnosis, and their interaction.
We used a case-control design with a 2×2 factorial framework to investigate the metabolomic and lipidomic alterations associated with Mn exposure and their link to PD. The study population of 97 individuals was divided into four groups: non-exposed controls (n=23), exposed controls (n=25), non-exposed with PD (n=26) and exposed with PD (n=23). Cases, defined by at least two cardinal PD features (excluding vascular, iatrogenic, and traumatic origins), were recruited from movement disorder clinics in four hospitals in Brescia, Northern Italy. Controls, free from neurological or psychiatric conditions, were selected from the same hospitals. Exposed subjects resided in metallurgic regions (Val Camonica and Bagnolo Mella) for at least 8 continuous years, while non-exposed subjects lived in low-exposure areas around Lake Garda and Brescia city. We conducted untargeted analyses of metabolites and lipids in whole blood samples using ultra-high-performance liquid chromatography (UHPLC) and mass spectrometry (MS), followed by statistical analyses including Principal Component Analysis (PCA), Partial Least Squares-Discriminant Analysis (PLS-DA), and Two-Way Analysis of Covariance (ANCOVA).
Metabolomic analysis revealed modulation of alanine, aspartate, and glutamate metabolism (Impact=0.05, p=0.001) associated with disease effect; butanoate metabolism (Impact=0.03, p=0.004) with the exposure effect; and vitamin B6 metabolism (Impact=0.08, p=0.03) with the interaction effect. Differential relative abundances in 3-sulfoxy-L-Tyrosine (β=1.12, FDR p<0.001), glycocholic acid (β=0.48, FDR p=0.03), and palmitelaidic acid (β=0.30, FDR p<0.001) were linked to disease, exposure, and interaction effects, respectively. In the lipidome, ferroptosis (Pathway Lipids=11, FDR p=0.03) associated with the disease effect and sphingolipid signaling (Pathway Lipids=9, FDR p=0.04) associated with the interaction effect were significantly altered. Lipid classes triacylglycerols, ceramides, and phosphatidylethanolamines showed differential relative abundances associated with disease, exposure, and interaction effects, respectively.
These findings suggest that PD and Mn exposure induce unique metabolomic and lipidomic changes, potentially serving as biomarkers for MnIP and warranting further study.
过量的锰(Mn)暴露具有神经毒性,可导致锰诱导的帕金森症(MnIP),其特征为认知和运动功能障碍。虽然针对帕金森症(PD)患者的代谢组学和脂质组学研究已有开展,但仍较为有限。本研究基于暴露状态、疾病诊断及其相互作用,假设存在不同的代谢组学和脂质组学特征。
我们采用病例对照设计和2×2析因框架,以研究与锰暴露相关的代谢组学和脂质组学改变及其与帕金森症的关联。97名研究对象被分为四组:未暴露对照组(n = 23)、暴露对照组(n = 25)、未暴露帕金森症患者组(n = 26)和暴露帕金森症患者组(n = 23)。病例由至少两个主要帕金森症特征(排除血管性、医源性和创伤性病因)定义,从意大利北部布雷西亚的四家医院的运动障碍诊所招募。对照组无神经或精神疾病,从同一家医院选取。暴露组对象在冶金地区(卡莫尼卡谷和巴尼奥洛梅拉)连续居住至少8年,而未暴露组对象生活在加尔达湖和布雷西亚市周边低暴露地区。我们使用超高效液相色谱(UHPLC)和质谱(MS)对全血样本中的代谢物和脂质进行非靶向分析,随后进行包括主成分分析(PCA)、偏最小二乘判别分析(PLS - DA)和双向协方差分析(ANCOVA)在内的统计分析。
代谢组学分析显示,丙氨酸、天冬氨酸和谷氨酸代谢的调节(影响值 = 0.05,p = 0.001)与疾病效应相关;丁酸代谢(影响值 = 0.03,p = 0.004)与暴露效应相关;维生素B6代谢(影响值 = 0.08,p = 0.03)与相互作用效应相关。3 - 磺氧基 - L - 酪氨酸(β = 1.12,FDR p < 0.001)、甘氨胆酸(β = 0.48,FDR p = 0.03)和棕榈油酸(β = 0.30,FDR p < 0.001)的差异相对丰度分别与疾病、暴露和相互作用效应相关。在脂质组中,与疾病效应相关的铁死亡(通路脂质 = 11,FDR p = 0.03)和与相互作用效应相关的鞘脂信号传导(通路脂质 = 9,FDR p = 0.04)显著改变。甘油三酯、神经酰胺和磷脂酰乙醇胺等脂质类别分别显示出与疾病、暴露和相互作用效应相关的差异相对丰度。
这些发现表明,帕金森症和锰暴露会诱导独特的代谢组学与脂质组学变化,可能作为锰诱导的帕金森症的生物标志物,值得进一步研究。