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鉴定蓝藻分泌物混合物中的神经毒性化合物。

Identification of neurotoxic compounds in cyanobacteria exudate mixtures.

机构信息

School of Ecology and Environmental Sciences, Yunnan University, Kunming 650091, PR China; Great Lakes Institute for Environmental Research, University of Windsor, Windsor, ON N9 B 3P4, Canada.

Great Lakes Institute for Environmental Research, University of Windsor, Windsor, ON N9 B 3P4, Canada.

出版信息

Sci Total Environ. 2023 Jan 20;857(Pt 2):159257. doi: 10.1016/j.scitotenv.2022.159257. Epub 2022 Oct 5.

Abstract

Release of toxic cyanobacterial secondary metabolites threatens biosecurity, foodwebs and public health. Microcystis aeruginosa (Ma), the dominant species in global freshwater cyanobacterial blooms, produces exudates (MaE) that cause adverse outcomes including nerve damage. Previously, we identified > 300 chemicals in MaE. It is critical to investigate neurotoxicity mechanisms of active substances among this suite of Ma compounds. Here, we screened 103 neurotoxicity assays from the ToxCast database to reveal targets of action of MaE using machine learning. We then built a potential Adverse Outcome Pathway (AOP) to identify neurotoxicity mechanisms of MaE as well as key targets. Finally, we selected potential neurotoxins matched with those targets using molecular docking. We found 38 targets that were inhibited and eight targets that were activated, collectively mainly related to neurotransmission (i.e. cholinergic, dopaminergic and serotonergic neurotransmitter systems). The potential AOP of MaE neurotoxicity could be caused by blocking calcium voltage-gated channel (CACNA1A), because of antagonizing neurotransmitter receptors, or because of inhibiting solute carrier transporters. We identified nine neurotoxic MaE compounds with high affinity to those targets, including LysoPC(16:0), 2-acetyl-1-alkyl-sn-glycero-3-phosphocholine, egonol glucoside, polyoxyethylene (600) monoricinoleate, and phytosphingosine. Our study enhances understanding of neurotoxicity mechanisms and identifies neurotoxins in cyanobacterial bloom exudates, which may help identify priority compounds for cyanobacteria management.

摘要

有毒蓝藻次生代谢物的释放威胁着生物安全、食物网和公共健康。微囊藻(Ma)是全球淡水蓝藻水华的优势物种,产生外泌体(MaE),导致包括神经损伤在内的不良后果。此前,我们在 MaE 中鉴定出超过 300 种化学物质。研究这组 Ma 化合物中活性物质的神经毒性机制至关重要。在这里,我们筛选了 ToxCast 数据库中的 103 种神经毒性测定法,使用机器学习揭示 MaE 的作用靶点。然后,我们构建了一个潜在的不良结局途径(AOP),以识别 MaE 的神经毒性机制和关键靶点。最后,我们使用分子对接选择与这些靶点匹配的潜在神经毒素。我们发现了 38 个被抑制的靶点和 8 个被激活的靶点,这些靶点主要与神经传递有关(即胆碱能、多巴胺能和 5-羟色胺能神经递质系统)。MaE 神经毒性的潜在 AOP 可能是由于抑制钙电压门控通道(CACNA1A)引起的,原因是拮抗神经递质受体,或因为抑制溶质载体转运蛋白。我们鉴定出 9 种对这些靶点具有高亲和力的有毒 MaE 化合物,包括溶血磷脂酰胆碱(16:0)、2-乙酰-1-烷基-sn-甘油-3-磷酸胆碱、伊格诺醇葡萄糖苷、聚氧乙烯(600)单蓖麻醇酸酯和植物鞘氨醇。我们的研究增强了对神经毒性机制的理解,并鉴定了蓝藻水华外泌体中的神经毒素,这可能有助于确定蓝藻管理的优先化合物。

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