Mapping the conformational epitope of a therapeutic monoclonal antibody against HBsAg by in vivo selection of HBV escape variants

表位 乙型肝炎表面抗原 单克隆抗体 病毒学 构象表位 体内 抗体 表位定位 选择(遗传算法) 乙型肝炎病毒 计算生物学 生物 免疫学 遗传学 病毒 计算机科学 人工智能
作者
Chang‐Ru Wu,Hyun‐Jin Kim,Cheng‐Pu Sun,Chen‐Yen Chung,You‐Yu Lin,Mi‐Hua Tao,Jung‐Hwan Kim,Ding‐Shinn Chen,Pei‐Jer Chen
出处
期刊:Hepatology [Lippincott Williams & Wilkins]
卷期号:76 (1): 207-219 被引量:3
标识
DOI:10.1002/hep.32307
摘要

Abstract Background and Aims Hepatitis B immunoglobulin (HBIG) has been routinely applied in the liver transplantation setting to block HBV reinfection of grafts. However, new monoclonal anti‐HBV surface antibodies have been developed to replace HBIG. The epitopes of such monoclonal antibodies may affect the emergence of escape variants and deserve study. Approach and Results The conformational epitope of sLenvervimab, a surrogate form of Lenvervimab, which is a monoclonal anti‐HBsAg antibody currently under phase 3 trial, was investigated by selecting escape mutants from a human liver chimeric mouse. HBV‐infected chimeric mice treated with sLenvervimab monotherapy showed an initial decline in circulating HBsAg levels, followed by a quick rebound in 1 month. Sequencing of circulating or liver HBV DNA revealed emerging variants, with replacement of amino acid E164 or T140, two residues widely separated in HBsAg. E164 HBV variants strongly resisted sLenvervimab neutralization in cell culture infection, and the T140 variant moderately resisted sLenvervimab neutralization. Natural HBV variants with amino‐acid replacements adjacent to E164 were constructed and examined for sLenvervimab neutralization effects. Variants with K160 replacement also resisted neutralization. These data revealed the conformational epitope of sLenvervimab. Conclusions Selection of antibody‐escape HBV variants in human chimeric mice works efficiently. Analysis of such emerging variants helps to identify anchor amino‐acid residues of the conformational epitope that are difficult to discover by conventional approaches.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
彭于彦祖应助迟宏珈采纳,获得20
刚刚
orixero应助坚强幼南采纳,获得10
1秒前
wy18567337203发布了新的文献求助10
2秒前
cyy完成签到,获得积分10
2秒前
一一发布了新的文献求助10
2秒前
Enyu完成签到 ,获得积分10
2秒前
Beverly完成签到,获得积分10
3秒前
3秒前
4秒前
aniu完成签到,获得积分10
4秒前
bhfhq完成签到,获得积分10
4秒前
科研通AI6.1应助吴玉杰采纳,获得10
4秒前
隐形曼青应助冷傲的锋采纳,获得10
5秒前
脑洞疼应助跳跃的元瑶采纳,获得10
5秒前
科研通AI6.2应助Lemon采纳,获得10
6秒前
FashionBoy应助红白刀向前冲采纳,获得10
7秒前
7秒前
7秒前
凡华完成签到 ,获得积分10
7秒前
卢lsl发布了新的文献求助10
7秒前
李健应助沙拉酱采纳,获得10
7秒前
旺旺小多完成签到,获得积分10
8秒前
希望天下0贩的0应助Alvin采纳,获得10
8秒前
英俊的铭应助wl123采纳,获得10
8秒前
8秒前
Lu完成签到,获得积分10
9秒前
斯文的梦柏完成签到,获得积分10
9秒前
9秒前
小昭完成签到,获得积分10
9秒前
9秒前
李爱国应助科研通管家采纳,获得10
9秒前
Jasper应助科研通管家采纳,获得10
9秒前
CipherSage应助科研通管家采纳,获得10
10秒前
英姑应助科研通管家采纳,获得10
10秒前
JamesPei应助科研通管家采纳,获得10
10秒前
xwxhbydmet发布了新的文献求助10
10秒前
Lucas应助科研通管家采纳,获得10
10秒前
Hello应助科研通管家采纳,获得10
10秒前
张文涛应助科研通管家采纳,获得10
10秒前
张文涛应助科研通管家采纳,获得10
10秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
The Cambridge History of China: Volume 4, Sui and T'ang China, 589–906 AD, Part Two 1500
Cowries - A Guide to the Gastropod Family Cypraeidae 1200
Quality by Design - An Indispensable Approach to Accelerate Biopharmaceutical Product Development 800
Pulse width control of a 3-phase inverter with non sinusoidal phase voltages 777
The Cambridge Handbook of Second Language Acquisition (2nd)[第二版] 666
Signals, Systems, and Signal Processing 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6401438
求助须知:如何正确求助?哪些是违规求助? 8218640
关于积分的说明 17417283
捐赠科研通 5454189
什么是DOI,文献DOI怎么找? 2882471
邀请新用户注册赠送积分活动 1859050
关于科研通互助平台的介绍 1700744