Ask about this productRelated genes to: PON1 antibody
- Gene:
- PON1 NIH gene
- Name:
- paraoxonase 1
- Previous symbol:
- PON
- Synonyms:
- ESA
- Chromosome:
- 7q21.3
- Locus Type:
- gene with protein product
- Date approved:
- 2001-06-22
- Date modifiied:
- 2014-11-19
Related products to: PON1 antibody
Related articles to: PON1 antibody
- Paraoxonase 1 (PON1) exerts a protective effect against alcoholic liver disease (ALD) by regulating oxidative stress and inflammation. A fucoidan derived from Hizikia fusiformis, JHCF4, is associated with increased nuclear sterol regulatory element-binding protein 2 (SREBP 2) levels and higher PON1/high-density lipoprotein (HDL) expression. - Source: PubMed
Publication date: 2026/05/01
Ai XindanWu TongchuanLi YunyiGuo AoZhuang ShujieChen JiongchaoXu HongkangGeng MinghuiZhou QiangLuo HaomingZheng FeiZhao XuYue HaoDai Yulin - Serum nonspecific esterases, including paraoxonase 1 (PON1), butyrylcholinesterase (BChE), and carboxylesterase (CES), may influence the hydrolysis of some ester-containing drugs. However, data on these enzymes across animal species remain limited. This study compared serum PON1, BChE, and CES activities among dogs (n=6), cats (n=6), micro-mini pigs (n=6), and goats (n=8) using identical assay systems. Serum samples were analyzed using established colorimetric or fluorescent assays, and interspecies differences were evaluated using the Steel-Dwass test. PON1 activity was highest in goats, BChE activity was highest in dogs, and CES activity was highest in cats. These findings demonstrate distinct interspecies profiles of serum nonspecific esterase activities and provide baseline data for future studies investigating species differences in the metabolism of ester-containing compounds. - Source: PubMed
Publication date: 2026/05/01
Doi SeikoKobayashi YutakaTakashima SatoshiIde WataruMurahata YusukeYayota MasatoTakasu MasakiSassa-O'Brien YukikoShibata Sanae - - Source: PubMed
Publication date: 2026/05/03
Meng Wei-JiaZhu Sha-Sha - Plasma stability assays are routinely applied in early drug discovery to evaluate enzymatic liability and to support lead optimization efforts. Although these assays are generally regarded as robust, the extent to which pre-analytical variables influence specific plasma hydrolase pathways has not been systematically examined. In this study, the impact of plasma anticoagulant selection on hydrolysis was investigated using procaine and pilocarpine as prototypical substrates of the serine hydrolase butyrylcholinesterase (BChE) and the calcium-dependent hydrolase paraoxonase 1 (PON1), respectively. Plasma stability was assessed in dipotassium ethylenediaminetetraacetic acid (K-EDTA) and lithium heparin plasma collected from the same donors. Procaine exhibited comparable stability across both plasma matrices, consistent with BChE-mediated hydrolysis. In contrast, pilocarpine underwent substantial hydrolysis in lithium heparin plasma but appeared stable in K-EDTA plasma. This effect is most consistent with calcium chelation by EDTA, as evidenced by complete suppression of PON1-mediated pilocarpine hydrolysis in lithium heparin plasma following exogenous EDTA supplementation. Collectively, these findings demonstrate that K-EDTA anticoagulation can selectively mask calcium-dependent PON1-mediated plasma hydrolytic pathways, leading to underestimation of plasma lability for susceptible compounds. Anticoagulant choice therefore represents an underappreciated determinant in plasma stability assessment, with direct implications for mechanistic interpretation of plasma-mediated clearance pathways during early DMPK evaluation. - Source: PubMed
Publication date: 2026/04/21
Tang Lloyd Wei Tat - Clopidogrel resistance (CR) may diminish its antiplatelet effect, thereby increasing the risk of cardiovascular and cerebrovascular events. The cause of CR remains unclear, and it may be related to pharmacogenomics and coagulation markers. Machine learning is a novel approach to investigate the correlations among various factors. This study aimed to investigate the factors influencing CR in Chinese patients with ischemic stroke and to develop a precise and reliable predictive model for CR using machine learning. - Source: PubMed
Publication date: 2026/04/23
Xu BeimingGu LantingLin GuanwenNi HongyangShi HaoqiangChen Bing