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An Artemisinin Derivative ART1 Induces Ferroptosis by Targeting the HSD17B4 Protein Essential for Lipid Metabolism and Directly Inducing Lipid Peroxidation

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CCS Chemistry 2022年第1期4卷 304-317页

作者： Jingjing Xie Guangya Zhu Ming Gao Jie Xi Ge Chen Xinxin Ma Yu Yan Zhiyuan Wang ze-jun xu Hui-jun Chen Hong-Dong Hao Yaoyang Zhang Zhu-jun Yao Jidong Zhu Interdisciplinary Research Center on Biology and Chemistry Shanghai Institute of Organic ChemistryChinese Academy of SciencesShanghai 201203 University of the Chinese Academy of Sciences Beijing 100049 State Key Laboratory of Coordination Chemistry Jiangsu Key Laboratory of Advanced Organic MaterialsSchool of Chemistry and Chemical EngineeringNanjing UniversityNanjingJiangsu 210023 School of Life Sciences Westlake UniversityHangzhou 310012 Department of Translational Research in Psychiatry Max Planck Institute of PsychiatryMunich 80804 State Key Laboratory of Bioorganic and Natural Products Chemistry Shanghai Institute of Organic ChemistryChinese Academy of SciencesShanghai 200032 Center for Excellence in Molecular Synthesis Shanghai Institute of Organic ChemistryChinese Academy of SciencesShanghai 200032

Artemisinin and its derivatives,commonly known as antimalarial drugs,have gradually come to be regarded as potential antitumor agents,although their cytotoxic efficacy and mechanisms of action remain to be ***,we report that an artemisinin analog,ART1,can potently induce ferroptosis in a subset of cancer cell ***–activity relationship(SAR)analysis reveals that both the endoperoxide moiety and the artemisinin skeleton are required for the antitumor activity of *** with ART1-based small-molecule tools,chemical proteomic analysis identified the HSD17B4 protein as a direct target of ***17B4 resides in peroxisomes and is an essential enzyme in the catabolism of very-long-chain fatty *** results demonstrate that ART1 initiates ferroptosis through selective oxidation of the fatty acids in peroxisomes by hijacking the HSD17B4 protein without disturbing its enzymatic function,providing a promising mechanism to develop therapeutics for cancer treatment.

关键词： artemisinin derivative antitumor ferroptosis HSD17B4 selectivity mesenchymal

水平肌肉移位术治疗间歇性外斜视合并小度数垂直斜视

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国际眼科杂志 2012年第5期12卷 1000-1001页

作者：林珊许泽骏合肥爱尔眼科医院眼科中国安徽省合肥市230031

目的:观察水平肌肉移位术对间歇性外斜视合并小度数垂直斜视的矫正效果。方法:总结7例9眼间歇性外斜视伴小度数垂直斜视的病例,手术矫正水平斜视的同时,对水平肌肉止端垂直移位,矫正并存的小度数垂直斜视;术后随访3～18(平均6)mo,观察... 详细信息

目的:观察水平肌肉移位术对间歇性外斜视合并小度数垂直斜视的矫正效果。方法:总结7例9眼间歇性外斜视伴小度数垂直斜视的病例,手术矫正水平斜视的同时,对水平肌肉止端垂直移位,矫正并存的小度数垂直斜视;术后随访3～18(平均6)mo,观察其疗效。结果:水平斜视矫正的同时,垂直眼位也得到满意矫正,5例7眼患者垂直眼位消失,1例1眼患者术后由R/L8△变成R/L2△,1例1眼患者术后由原来R/L6△变成L/R2△。随访期间全部患者均未出现医源性A-V现象,无复视,无代偿头位。结论:在解决水平斜的同时进行水平肌肉垂直移位可兼顾到小度数垂直斜的矫正。

关键词：间歇性斜视小度数垂直斜视水平肌移位

高度近视患者Bigbag人工晶状体囊袋复合物脱位的处理

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国际眼科杂志 2021年第3期21卷 553-555页

作者：许泽骏代波林珊武汉汉阳艾格眼科医院中国湖北省武汉市430050 武汉普瑞眼科医院中国湖北省武汉市430050

目的:评估25G+玻璃体切除联合经玻璃体腔巩膜缝线固定治疗高度近视患者Bigbag人工晶状体囊袋复合物脱位的临床效果。方法:回顾性分析2016-07/2019-10武汉汉阳艾格眼科医院收治的高度近视患者Bigbag人工晶状体囊袋复合物脱位患者13例15... 详细信息

目的:评估25G+玻璃体切除联合经玻璃体腔巩膜缝线固定治疗高度近视患者Bigbag人工晶状体囊袋复合物脱位的临床效果。方法:回顾性分析2016-07/2019-10武汉汉阳艾格眼科医院收治的高度近视患者Bigbag人工晶状体囊袋复合物脱位患者13例15眼的临床资料。所有患者均采用25G+玻璃体切除术,清理包绕人工晶状体囊袋复合物的玻璃体,玻璃体腔注入重水,使人工晶状体上浮至瞳孔区,经玻璃体腔将人工晶状体悬吊固定于巩膜上。其中1例1眼合并黄斑裂孔行内界膜剥离联合玻璃体腔注气,1例1眼合并视网膜裂孔予以视网膜激光光凝。结果:术后1wk最佳矫正视力(LogMAR)为1.03±0.29,较术前的1.31±0.33显著改善(t=4.126,P=0.017);术前平均眼压(17.45±6.81mmHg)较术后1wk(16.75±6.71mmHg)无差异(t=1.635,P=0.360);角膜内皮细胞计数2345.92±399.59cell/mm 2较术前2388.93±405.04cell/mm 2无明显变化(t=2.323,P=0.279);随访期间所有患者角膜透明,人工晶状体位置正,无脉络膜脱离、视网膜脱离、出血、继发性青光眼并发症发生。结论:高度近视患者Bigbag人工晶状体囊袋混合物脱位采用经玻璃体腔巩膜缝线固定安全有效,避免了人工晶状体囊袋复合物取出再植入悬吊人工晶状体的风险。

关键词：玻璃体切除术悬吊脱位 Bigbag人工晶状体

SoySNP618K array:A high-resolution single nucleotide polymorphism platform as a valuable genomic resource for soybean genetics and breeding

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Journal of Integrative Plant Biology 2022年第3期64卷 632-648页

作者： Yan-Fei Li Ying-Hui Li Shan-Shan Su Jochen CReif Zhao-Ming Qi Xiao-Bo Wang Xing Wang Yu Tian De-Lin Li Ru-Jian Sun Zhang-Xiong Liu ze-jun xu Guang-Hui Fu Ya-Liang Ji Qing-Shan Chen Ji-Qiang Liu Li-Juan Qiu The National Key Facility for Crop Gene Resources and Genetic Improvement(NFCRI)/Key Laboratory of Crop Gene Resource andGermplasm Enhancement(MOA)/Key Laboratory of Soybean Biology(Beijing)(MOA) Institute of Crop SciencesChinese Academy ofAgricultural SciencesBeijing 100081China Beijing Compass Biotechnology Co.Ltd Beijing 102206China Department of Breeding Research Leibniz Institute of Plant Genetics and Crop Plant Research(IPK)Gatersleben 06466Germany Key Laboratory of Soybean Biology in Chinese Ministry of Education(Key Laboratory of Soybean Biology and Breeding/Genetics ofChinese Agriculture Ministry) Northeast Agricultural UniversityHarbin 150030China School of Agronomy Anhui Agricultural UniversityHefei 230036China xuzhou Institute of Agricultural Sciences of xu-huai Region of Jiangsu Xuzhou 221131China Department of Plant Genetics and Breeding China Agricultural UniversityBeijing 100193China Hulun Buir Institution of Agricultural Sciences ZhalantunInner Mongolia 021000China Suzhou Academy of Agricultural Sciences Suzhou 234000China

Innovations in genomics have enabled the development of low-cost,high-resolution,single nucleotide polymorphism(SNP)genotyping arrays that accelerate breeding progress and support basic research in crop ***,we developed and validated the Soy SNP618 K array(618,888 SNPs)for the important crop *** SNPs were selected from whole-genome resequencing data containing 2,214 diverse soybean accessions;29.34%of the SNPs mapped to genic regions representing 86.85%of the 56,044annotated high-confidence ***-by-state analyses of 318 soybeans revealed 17 redundant accessions,highlighting the potential of the Soy SNP618 K array in supporting gene bank *** patterns of population stratification and genomic regions enriched through domestication were highly consistent with previous findings based on resequencing data,suggesting that the ascertainment bias in the Soy SNP618 K array was largely compensated ***-wide association mapping in combination with reported quantitative trait loci enabled fine-mapping of genes known to influence flowering time,E2 and Gm PRR3 b,and of a new candidate gene,Gm ***,genomic prediction of flowering and maturity time in 502 recombinant inbred lines was highly accurate(>0.65).Thus,the Soy SNP618 K array is a valuable genomic tool that can be used to address many questions in applied breeding,germplasm management,and basic crop research.

关键词： functional single nucleotide polymorphism array gene discovery genomic selection genome-wide association studies marker-assisted selection soybean

Diltiazem used as a tacrolimus-sparing agent for treatment of pediatric patients with refractory nephrotic syndrome: a case report and retrospective analysis

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Diltiazem used as a tacrolimus-sparing agent for treatment o...

复杂性眼外伤视网膜大范围切开硅油填充后远期疗效

第八届全国治疗药物监测学术年会

作者： Ya-Hui Hu Jie-Yu Sun Hong-Li Guo ze-jun xu Xia Jing Fang Sun Hui-Lei Guo Feng Chen Jing xu Department of Pharmacy Children’s Hospital of Nanjing Medical University

The 2012 Kidney Disease Improving Global Outcomes(KDIGO) guidelines recommended calcineurin inhibitor tacrolimus to be used to treat several types of nephrotic syndrome(NS) in children and adults, such as steroid-resistant nephrotic syndrome(SRNS), steroid-dependent NS and frequently relapsing idiopathic membranous nephropathy. Owing to its narrow therapeutic window and chronic nephrotoxicity,tacrolimus drug level should be closely therapeutically monitored. Furthermore,due to immunosuppressant-associated toxicities aggravate immune-mediated nephron injury and side effects, low dosing strategies have been increasingly adopted. Based on its metabolic elimination pathway, CYP3A5 genotype and drug-drug interaction will profoundly impact the systemic exposure to tacrolimus after medication. We report here the case of a Chineseboy, aged 5 years, who was diagnosed with refractory nephrotic syndrome(RNS) and was given tacrolimus. The tacrolimus dose was tailored according to the therapeutic concentration window, CYP3A5 genotype, and minimal dosage strategy. More importantly, in combination with corticosteroids and tacrolimus, diltiazem was used as a tacrolimus-sparing agent for the *** also retrospectively reviewed the coadministered therapy records from 2016 to 2018 at our hospital to evaluate the spring effect of diltiazem. Diltiazem induced an average increase of tacrolimus trough concentration(C) by 86.5%, irrespective of the CYP3A5 genotype. Tacrolimus maintenance dose ranged from 0.058 to 0.091 mg/kg/d, and the monitored mean C reached to 4.6 μg/L. Serum albumin, total cholesterol, triglyceride, and urine protein of the pediatric patients were within the normal ranges after treatment, and nonephrotoxicity was observed. Additionally,regular dose of diltiazem was well ***: CYP3A5 genotype screening is informative to tailor the tacrolimus dosage. Diltiazem was proved to be an effective tacrolimus-sparing agent for pediatric RNS treatment. Long-

关键词： Tacrolimus Diltiazem Refractory nephrotic syndrome Drug-drug Interaction CYP3A5 Genetic polymorphism Therapeutic drug monitoring

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国际眼科杂志 2012年第9期12卷 1722-1723页

作者：许泽骏林珊林会儒合肥爱尔眼科医院眼底病科中国安徽省合肥市230031 山东省鲁南眼科医院眼底病科中国山东省临沂市276002

目的:观察复杂性眼外伤视网膜大范围切开/切除联合硅油填充术后的远期临床效果,以及硅油取舍对眼球、眼压及视功能的影响。方法:回顾分析2006-01/2010-01收治的复杂性开放性眼外伤伴视网膜嵌顿而行视网膜大范围切开/切除联合硅油填充治... 详细信息

目的:观察复杂性眼外伤视网膜大范围切开/切除联合硅油填充术后的远期临床效果,以及硅油取舍对眼球、眼压及视功能的影响。方法:回顾分析2006-01/2010-01收治的复杂性开放性眼外伤伴视网膜嵌顿而行视网膜大范围切开/切除联合硅油填充治疗的28例28眼患者的临床资料。男27例,女1例,年龄19～57岁。术中行180°或360°视网膜切开及部分切除,激光光凝及硅油填充。10例视网膜360°视网膜切开,视网膜切至赤道部;18例180°视网膜切开部分视网膜切除。硅油取出条件:硅油填充6mo以上,眼压>10mmHg,视网膜复位良好,视网膜切开边缘封闭良好。术后观察2～5a。结果:视网膜切开/切除硅油填充后,早期视网膜均复位。10例视网膜360°切开眼中有8眼(80%)取出硅油,2眼(20%)因眼压低(<5mmHg)成为硅油支持眼。取出硅油的8眼中有2眼的眼压在正常范围内,视力均为指数;6眼的眼压在3～7mmHg范围内,角膜水肿浑浊,脉络膜水肿,有3眼伴玻璃体出血,其中5眼出现眼球萎缩,二期行义眼台植入。18眼180°视网膜切开眼行硅油取出后,17眼的矫正视力为指数～0.3,眼压均在正常范围;1眼(5.5%)出现眼球萎缩。结论:复杂性重度眼外伤视网膜嵌顿后,视网膜大范围切开/切除后联合硅油填充,虽然早期视网膜复位率高,但远期低眼压和眼球萎缩率较高。我们应该严格掌握手术指征。

关键词：眼外伤视网膜切开硅油取出

Valproic Acid and the Liver Injury in Patients with Epilepsy: An update

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Valproic Acid and the Liver Injury in Patients with Epilepsy...

From waste to wealth:Coal tar residue derived carbon materials as low-cost anodes for potassium-ion batteries

第八届全国治疗药物监测学术年会

作者： Hong-Li Guo Jie-Yu Sun Ya-hui Hu ze-jun xu Ming-Ming Ni Feng Chen Tengfei Wang Xia Jing Jin-Chun Qiu Department of Pharmacy Children's Hospital of Nanjing Medical University School of Basic Medicine and Clinical Pharmacy China Pharmaceutical University Department of Pharmacology University of Tennessee Health Science Center

Valproic acid（VPA） as a widely used primary medication in the treatment of epilepsy is associated with reversible or irreversible hepatotoxicity. Long-term VPA therapy is also related to increased risk for the development of non-alcoholic fatty liver disease（NAFLD）.In this review, metabolic elimination pathways of VPA in the liver and underlying mechanisms of VPA-induced hepatotoxicity are *** VPA reactive metabolites, inhibition of fatty acid β-oxidation,excessive oxidative stress and genetic variants of some enzymes, such as CPS1, POLG, GSTs, SOD2, UGTs and CYPs genes, have been reported to be associated with VPA hepatotoxicity. Furthermore, carnitine supplementation and antioxidants administration become positive treatment strategies for VPA-induced *** drug monitoring（TDM） and routine liver biochemistry monitoring during VPA-therapy, as well as genotype screening for certain patients before VPA administration, couldimprove the safety profile of this antiepileptic drug.

关键词： Valproic acid antiepileptic treatment liver injury management glucuronic acid conjugation β-oxidation oxidative stress genetic variants

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International Journal of Minerals,Metallurgy and Materials 2025年第2期32卷 464-475页

作者： Zhonghua Lu jun Shen Xin Zhang Lingcong Chao Liang Chen Ding Zhang Tao Wei Shoudong xu College of Chemical Engineering and Technology Taiyuan University of TechnologyTaiyuan 030024China College of Chemistry Taiyuan University of TechnologyTaiyuan 030024China School of Chemical Engineering and Pharmacy Wuhan Institute of TechnologyWuhan 430205China School of Energy and Power Jiangsu University of Science and TechnologyZhenjiang 212003China

Carbon materials are widely recognized as highly promising electrode materials for various energy storage system *** tar residues(CTR),as a type of carbon-rich solid waste with high value-added utilization,are crucially important for the development of a more sustainable *** this study,we employed a straightforward direct carbonization method within the temperature range of 700-1000℃to convert the worthless solid waste CTR into economically valuable carbon materials as anodes for potassium-ion batteries(PIBs).The effect of carbonization temperature on the microstructure and the potassium ions storage properties of CTR-derived carbons(CTRCs)were systematically explored by structural and morphological characterization,alongside electrochemical performances *** on the co-regulation between the turbine layers,crystal structure,pore structure,functional groups,and electrical conductivity of CTR-derived carbon carbonized at 900℃(CTRC-900H),the electrode material with high reversible capacity of 265.6m Ah·g^(-1)at 50 m A·g^(-1),a desirable cycling stability with 93.8%capacity retention even after 100 cycles,and the remarkable rate performance for PIBs were ***,cyclic voltammetry(CV)at different scan rates and galvanostatic intermittent titration technique(GITT)have been employed to explore the potassium ions storage mechanism and electrochemical kinetics of *** indicate that the electrode behavior is predominantly governed by surface-induced capacitive processes,particularly under high current densities,with the potassium storage mechanism characterized by an“adsorption-weak intercalation”*** work highlights the potential of CTR-based carbon as a promising electrode material category suitable for high-performance PIBs electrodes,while also provides valuable insights into the new avenues for the high value-added utilization of CTR.

关键词： coal tar residue carbon materials anode potassium-ion batteries high value-added

Multi-model ensemble learning for battery state-of-health estimation:Recent advances and perspectives

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Journal of Energy Chemistry 2025年第1期100卷 739-759页

作者： Chuanping Lin jun xu Delong Jiang Jiayang Hou Ying Liang Zhongyue Zou xuesong Mei State Key Laboratory for Manufacturing Systems Engineering Xi'an Jiaotong University Shaanxi Key Laboratory of Intelligent Robots School of Mechanical Engineering Xi'an Jiaotong University Department of Electrical Engineering and Automation Luoyang Institute of Science and Technology School of Mechanical Engineering Hangzhou Dianzi University

The burgeoning market for lithium-ion batteries has stimulated a growing need for more reliable battery performance monitoring. Accurate state-of-health(SOH) estimation is critical for ensuring battery operational performance. Despite numerous data-driven methods reported in existing research for battery SOH estimation, these methods often exhibit inconsistent performance across different application scenarios. To address this issue and overcome the performance limitations of individual data-driven models,integrating multiple models for SOH estimation has received considerable attention. Ensemble learning(EL) typically leverages the strengths of multiple base models to achieve more robust and accurate outputs. However, the lack of a clear review of current research hinders the further development of ensemble methods in SOH estimation. Therefore, this paper comprehensively reviews multi-model ensemble learning methods for battery SOH estimation. First, existing ensemble methods are systematically categorized into 6 classes based on their combination strategies. Different realizations and underlying connections are meticulously analyzed for each category of EL methods, highlighting distinctions, innovations, and typical applications. Subsequently, these ensemble methods are comprehensively compared in terms of base models, combination strategies, and publication trends. Evaluations across 6 dimensions underscore the outstanding performance of stacking-based ensemble methods. Following this, these ensemble methods are further inspected from the perspectives of weighted ensemble and diversity, aiming to inspire potential approaches for enhancing ensemble performance. Moreover, addressing challenges such as base model selection, measuring model robustness and uncertainty, and interpretability of ensemble models in practical applications is emphasized. Finally, future research prospects are outlined, specifically noting that deep learning ensemble is poised to advance ens

关键词： Lithium-ion battery State-of-health estimation Data-driven Machine learning Ensemble learning Ensemble diversity