Suppr超能文献

印度的 SARS-CoV-2 感染与趋势不符:训练有素的先天免疫?

SARS-CoV-2 infection in India bucks the trend: Trained innate immunity?

机构信息

Infectious Disease Genetics, National Institute of Biomedical Genomics, Kalyani, India.

出版信息

Am J Hum Biol. 2021 Nov;33(6):e23504. doi: 10.1002/ajhb.23504. Epub 2020 Sep 23.

Abstract

SARS-CoV-2, the causative agent of COVID-19 pandemic caught the world unawares by its sudden onset in early 2020. Memories of the 1918 Spanish Flu were rekindled raising extreme fear for the virus, but in essence, it was the host and not the virus, which was deciding the outcome of the infection. Age, gender, and preexisting conditions played critical roles in shaping COVID-19 outcome. People of lower socioeconomic strata were disproportionately affected in industrialized countries such as the United States. India, a developing country with more than 1.3 billion population, a large proportion of it being underprivileged and with substandard public health provider infrastructure, feared for the worst outcome given the sheer size and density of its population. Six months into the pandemic, a comparison of COVID-19 morbidity and mortality data between India, the United States, and several European countries, reveal interesting trends. While most developed countries show curves expected for a fast-spreading respiratory virus, India seems to have a slower trajectory. As a consequence, India may have gained on two fronts: the spread of the infection is unusually prolonged, thus leading to a curve that is "naturally flattened"; concomitantly the mortality rate, which is a reflection of the severity of the disease has been relatively low. I hypothesize that trained innate immunity, a new concept in immunology, may be the phenomenon behind this. Biocultural, socioecological, and socioeconomic determinants seem to be influencing the outcome of COVID-19 in different regions/countries of the world.

摘要

SARS-CoV-2,即导致 COVID-19 大流行的病原体,于 2020 年初突然爆发,令全世界猝不及防。人们回想起 1918 年的西班牙流感,由此产生了对该病毒的极度恐惧,但实际上,决定感染结果的是宿主,而不是病毒。年龄、性别和既往疾病在塑造 COVID-19 结局方面起着关键作用。在像美国这样的工业化国家中,社会经济地位较低的人群受到了不成比例的影响。印度是一个拥有超过 13 亿人口的发展中国家,其中很大一部分人处于贫困状态,公共卫生服务基础设施也不达标,因此人们对其庞大的人口规模和人口密度感到担忧,害怕出现最坏的结果。在大流行六个月后,对印度、美国和几个欧洲国家 COVID-19 发病率和死亡率数据进行比较,揭示了一些有趣的趋势。虽然大多数发达国家的曲线都符合快速传播的呼吸道病毒的预期,但印度的曲线似乎较为平缓。因此,印度可能在两个方面取得了进展:感染的传播异常延长,从而导致曲线“自然变平”;同时,死亡率,即疾病严重程度的反映,相对较低。我假设,经过训练的先天免疫,这是免疫学中的一个新概念,可能是造成这种情况的原因。生物文化、社会生态和社会经济决定因素似乎在影响着全球不同地区/国家 COVID-19 的结局。

相似文献

1
SARS-CoV-2 infection in India bucks the trend: Trained innate immunity?
Am J Hum Biol. 2021 Nov;33(6):e23504. doi: 10.1002/ajhb.23504. Epub 2020 Sep 23.
2
Understanding the devastating second wave of COVID-19 pandemic in India.
Am J Hum Biol. 2021 Nov;33(6):e23671. doi: 10.1002/ajhb.23671. Epub 2021 Sep 1.
4
SARS-CoV-2 pandemic and Construction Industry: insights from Italian data.
Acta Biomed. 2022 Jul 1;93(3):e2022233. doi: 10.23750/abm.v93i3.12265.
5
COVID-19 in the Developing World: Is the Immune Response to α-Gal an Overlooked Factor Mitigating the Severity of Infection?
ACS Infect Dis. 2020 Dec 11;6(12):3104-3108. doi: 10.1021/acsinfecdis.0c00747. Epub 2020 Nov 12.
6
India's Response to the COVID-19 Pandemic: A Frontal Assault on the "Historically Dispossessed".
Int J Health Serv. 2021 Jan;51(1):107-114. doi: 10.1177/0020731420968438. Epub 2020 Oct 22.
7
Geographic information system-based analysis of COVID-19 cases in India during pre-lockdown, lockdown, and unlock phases.
Int J Infect Dis. 2021 Apr;105:424-435. doi: 10.1016/j.ijid.2021.02.070. Epub 2021 Feb 18.
8
Epidemic Landscape and Forecasting of SARS-CoV-2 in India.
J Epidemiol Glob Health. 2021 Mar;11(1):55-59. doi: 10.2991/jegh.k.200823.001. Epub 2020 Aug 28.
10
SARS-CoV-2 Wave Two Surveillance in East Asia and the Pacific: Longitudinal Trend Analysis.
J Med Internet Res. 2021 Feb 1;23(2):e25454. doi: 10.2196/25454.

引用本文的文献

2
An after-action review of COVID-19 cases and mitigation measures at US Mission India, March 2020-July 2021.
PLOS Glob Public Health. 2025 May 20;5(5):e0003982. doi: 10.1371/journal.pgph.0003982. eCollection 2025.
3
Editorial: Vaccine-induced innate immunity and its role in viral infections.
Front Immunol. 2024 Jul 11;15:1440061. doi: 10.3389/fimmu.2024.1440061. eCollection 2024.
5
Sero-epidemiological survey of SARS-Cov2 in urban slums of a capital city: A cross- sectional study.
J Family Med Prim Care. 2022 Jun;11(6):2709-2716. doi: 10.4103/jfmpc.jfmpc_2127_21. Epub 2022 Jun 30.
6
SARS-CoV-2/COVID-19 and its relationship with NOD2 and ubiquitination.
Clin Immunol. 2022 May;238:109027. doi: 10.1016/j.clim.2022.109027. Epub 2022 May 2.
7
Comparative Analysis of Susceptibility and Severity of COVID-19 in Countries from the Eastern and the Western World Till March '21.
Microbiol Insights. 2021 Aug 30;14:11786361211041367. doi: 10.1177/11786361211041367. eCollection 2021.
8
Understanding the devastating second wave of COVID-19 pandemic in India.
Am J Hum Biol. 2021 Nov;33(6):e23671. doi: 10.1002/ajhb.23671. Epub 2021 Sep 1.
9
Between a hygiene rock and a hygienic hard place: Avoiding SARS-CoV-2 while needing environmental exposures for immunity.
Evol Med Public Health. 2021 Feb 12;9(1):120-130. doi: 10.1093/emph/eoab006. eCollection 2021.
10
COVID-19 pandemic and breast cancer management: A retrospective observational clinical study from Pakistan.
Ann Med Surg (Lond). 2021 Mar;63:102151. doi: 10.1016/j.amsu.2021.01.099. Epub 2021 Feb 4.

本文引用的文献

1
Social determinants of COVID-19 mortality at the county level.
PLoS One. 2020 Oct 14;15(10):e0240151. doi: 10.1371/journal.pone.0240151. eCollection 2020.
2
Why COVID-19 models should incorporate the network of social interactions.
Phys Biol. 2020 Oct 13;17(6):065008. doi: 10.1088/1478-3975/aba8ec.
3
Doing biocultural anthropology: Continuity and change.
Am J Hum Biol. 2020 Jul;32(4):e23471. doi: 10.1002/ajhb.23471. Epub 2020 Jul 18.
4
Don't blame the BAME: Ethnic and structural inequalities in susceptibilities to COVID-19.
Am J Hum Biol. 2020 Sep;32(5):e23478. doi: 10.1002/ajhb.23478. Epub 2020 Jul 16.
5
Forecasting efforts from prior epidemics and COVID-19 predictions.
Eur J Epidemiol. 2020 Aug;35(8):727-729. doi: 10.1007/s10654-020-00661-0. Epub 2020 Jul 17.
6
Does the hygiene hypothesis apply to COVID-19 susceptibility?
Microbes Infect. 2020 Oct;22(9):400-402. doi: 10.1016/j.micinf.2020.07.002. Epub 2020 Jul 9.
7
Extrapulmonary manifestations of COVID-19.
Nat Med. 2020 Jul;26(7):1017-1032. doi: 10.1038/s41591-020-0968-3. Epub 2020 Jul 10.
8
BCG vaccine protection from severe coronavirus disease 2019 (COVID-19).
Proc Natl Acad Sci U S A. 2020 Jul 28;117(30):17720-17726. doi: 10.1073/pnas.2008410117. Epub 2020 Jul 9.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验