Learning from Bats to Escape from Potent or Severe Viral Infections

生物 免疫系统 病毒学 先天免疫系统 冠状病毒 大流行 免疫学 病毒 传染性 2019年冠状病毒病(COVID-19) 医学 传染病(医学专业) 疾病 病理
作者
Vijay Kumar
出处
期刊:IntechOpen eBooks [IntechOpen]
被引量:4
标识
DOI:10.5772/intechopen.98916
摘要

The COVID-19 pandemic that started in December 2019 in Wuhan city, China has created chaos all over the world with over 185 million infection cases and 4 million deaths world-wide. The pathogen behind COVID-19 has been identified as severe acute respiratory syndrome Coronavirus 2 (SARS-CoV-2) that is more close to the previous SARS-CoV responsible for SARS epidemic 2002–2003. Although, SARS-CoV-2 also differs from SARS-CoV in many aspects as indicated by genetic studies. For example, SARS-CoV does not have a furin binding domain or site, whereas its presence in SARS-CoV-2 spike (S) protein increases its potential for infectivity. The horseshoe bats (Rhinolphus species) from China are considered as primary animal reservoirs for SARS-CoV and SARS-CoV-2. However, along with CoVs, bats also harbor many other viral pathogens (Ebola, Nipah, and Hendra viruses) without having serious infections. The bat physiology plays a crucial role in harboring these viruses along with adaptations to longevity and slow aging process. The immune system plays a crucial role in the clearance or establishment of the infection. Present chapter discusses different immunological aspects (innate immune response comprising the virus recognizing pattern recognition receptors (PRRs), type 1 interferon production, pro- and anti-inflammatory immune response, and adaptive immune response) that help bats to control viral infection without getting a severe infection as compared to other mammals, including humans.

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
feng完成签到,获得积分10
1秒前
苹果发布了新的文献求助10
1秒前
山间风完成签到,获得积分10
1秒前
Copyright应助NSWML采纳,获得10
1秒前
xuan发布了新的文献求助20
3秒前
zpz完成签到,获得积分10
3秒前
Junlin完成签到,获得积分10
4秒前
酷酷映阳完成签到,获得积分10
4秒前
hufan2441发布了新的文献求助10
4秒前
Ava应助狂野的青曼采纳,获得10
4秒前
4秒前
咸鱼咸完成签到,获得积分10
5秒前
abcd_1067完成签到,获得积分10
5秒前
哈哈哈哈发布了新的文献求助20
5秒前
Amy发布了新的文献求助10
6秒前
传奇3应助Decho采纳,获得10
6秒前
科研通AI6.3应助日照鸭鸭采纳,获得10
6秒前
Lychee完成签到,获得积分10
6秒前
朱晓云完成签到 ,获得积分10
7秒前
gt发布了新的文献求助10
7秒前
qiyr完成签到,获得积分10
7秒前
端庄的火龙果完成签到,获得积分10
7秒前
ven发布了新的文献求助10
7秒前
mei完成签到,获得积分10
7秒前
勤奋紊发布了新的文献求助10
8秒前
8秒前
YuxinChen完成签到 ,获得积分10
8秒前
8秒前
宇与鱼完成签到,获得积分10
9秒前
molihuakai应助香潘潘的楠瓜采纳,获得10
9秒前
安格完成签到 ,获得积分10
9秒前
9秒前
9秒前
10秒前
run应助Thunnus001采纳,获得30
10秒前
11秒前
细腻的歌曲完成签到,获得积分10
11秒前
FashionBoy应助顺心聪展采纳,获得50
11秒前
11秒前
赘婿应助海之大采纳,获得10
11秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(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
Matrix Methods in Data Mining and Pattern Recognition 510
Social Skills Improvement System-Rating Scales--Chinese Version 500
Dynamische Polarisation von H-1 und B-11 in (CH-3)-3NBH-3 500
CLSI M07 2024 500
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7248141
求助须知:如何正确求助?哪些是违规求助? 8871083
关于积分的说明 18715513
捐赠科研通 6927189
什么是DOI,文献DOI怎么找? 3198137
关于科研通互助平台的介绍 2373857
邀请新用户注册赠送积分活动 2172991