• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

西班牙 COVID-19 患者的 T 细胞库作为一种将 T 细胞特征与疾病严重程度联系起来的策略。

The T-cell repertoire of Spanish patients with COVID-19 as a strategy to link T-cell characteristics to the severity of the disease.

机构信息

Department of Biochemistry, Molecular Biology III and Inmunology, Faculty of Medicine, University of Granada, Parque Tecnológico de la Salud, Avd. de la Investigación nº 11, Tower C. 11th floor, Granada, 18071, Spain.

Centre for Genomics and Oncological Research: Pfizer, Andalusian Regional Government, GENYO, University of Granada, Parque Tecnológico de la Salud, Granada, Spain.

出版信息

Hum Genomics. 2024 Sep 4;18(1):94. doi: 10.1186/s40246-024-00654-0.

DOI:10.1186/s40246-024-00654-0
PMID:39227859
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11373388/
Abstract

BACKGROUND

The architecture and dynamics of T cell populations are critical in orchestrating the immune response to SARS-CoV-2. In our study, we used T Cell Receptor sequencing (TCRseq) to investigate TCR repertoires in 173 post-infection COVID-19 patients.

METHODS

The cohort included 98 mild and 75 severe cases with a median age of 53. We amplified and sequenced the TCR β chain Complementary Determining Region 3 (CDR3b) and performed bioinformatic analyses to assess repertoire diversity, clonality, and V/J allelic usage between age, sex and severity groups. CDR3b amino acid sequence inference was performed by clustering structural motifs and filtering validated reactive CDR3b to COVID-19.

RESULTS

Our results revealed a pronounced decrease in diversity and an increase in clonal expansion in the TCR repertoires of severe COVID-19 patients younger than 55 years old. These results reflect the observed trends in patients older than 55 years old (both mild and severe). In addition, we identified a significant reduction in the usage of key V alleles (TRBV14, TRBV19, TRBV15 and TRBV6-4) associated with disease severity. Notably, severe patients under 55 years old had allelic patterns that resemble those over 55 years old, accompanied by a skewed frequency of COVID-19-related motifs.

CONCLUSIONS

Present results suggest that severe patients younger than 55 may have a compromised TCR repertoire contributing to a worse disease outcome.

摘要

背景

T 细胞群体的结构和动态对于协调对 SARS-CoV-2 的免疫反应至关重要。在我们的研究中,我们使用 T 细胞受体测序(TCRseq)来研究 173 名感染后 COVID-19 患者的 TCR 谱。

方法

该队列包括 98 例轻症和 75 例重症病例,中位年龄为 53 岁。我们扩增并测序了 TCR β 链互补决定区 3(CDR3b),并进行了生物信息学分析,以评估年龄、性别和严重程度组之间的 repertoire 多样性、克隆性和 V/J 等位基因使用情况。通过聚类结构基序和过滤验证的反应性 CDR3b 对 COVID-19 进行 CDR3b 氨基酸序列推断。

结果

我们的结果表明,55 岁以下的重症 COVID-19 患者的 TCR repertoire 多样性明显降低,克隆性扩张增加。这些结果反映了 55 岁以上患者的观察趋势(轻症和重症)。此外,我们发现与疾病严重程度相关的关键 V 等位基因(TRBV14、TRBV19、TRBV15 和 TRBV6-4)的使用显著减少。值得注意的是,55 岁以下的重症患者的等位基因模式与 55 岁以上的患者相似,同时伴有 COVID-19 相关基序的频率偏斜。

结论

目前的结果表明,55 岁以下的重症患者可能存在受损的 TCR repertoire,导致疾病结局更差。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b8d5/11373388/848bf83d00a0/40246_2024_654_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b8d5/11373388/21084734650d/40246_2024_654_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b8d5/11373388/f6a596580a12/40246_2024_654_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b8d5/11373388/848bf83d00a0/40246_2024_654_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b8d5/11373388/21084734650d/40246_2024_654_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b8d5/11373388/f6a596580a12/40246_2024_654_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b8d5/11373388/848bf83d00a0/40246_2024_654_Fig3_HTML.jpg

相似文献

1
The T-cell repertoire of Spanish patients with COVID-19 as a strategy to link T-cell characteristics to the severity of the disease.西班牙 COVID-19 患者的 T 细胞库作为一种将 T 细胞特征与疾病严重程度联系起来的策略。
Hum Genomics. 2024 Sep 4;18(1):94. doi: 10.1186/s40246-024-00654-0.
2
Analysis of TCR Repertoire by High-Throughput Sequencing Indicates the Feature of T Cell Immune Response after SARS-CoV-2 Infection.高通量测序分析 TCR 文库表明 SARS-CoV-2 感染后 T 细胞免疫反应的特征。
Cells. 2021 Dec 27;11(1):68. doi: 10.3390/cells11010068.
3
Profiling of T Cell Repertoire in SARS-CoV-2-Infected COVID-19 Patients Between Mild Disease and Pneumonia.SARS-CoV-2 感染 COVID-19 患者轻症与肺炎患者 T 细胞受体谱分析。
J Clin Immunol. 2021 Aug;41(6):1131-1145. doi: 10.1007/s10875-021-01045-z. Epub 2021 May 5.
4
The characteristics of TCR CDR3 repertoire in COVID-19 patients and SARS-CoV-2 vaccine recipients.新型冠状病毒肺炎患者和新型冠状病毒疫苗接种者的 TCR CDR3 库特征。
Virulence. 2024 Dec;15(1):2421987. doi: 10.1080/21505594.2024.2421987. Epub 2024 Nov 4.
5
HLA class I-associated expansion of TRBV11-2 T cells in multisystem inflammatory syndrome in children.HLA Ⅰ类相关的 TRBV11-2 T 细胞在儿童多系统炎症综合征中的扩增。
J Clin Invest. 2021 May 17;131(10). doi: 10.1172/JCI146614.
6
Limited T cell receptor repertoire diversity in tuberculosis patients correlates with clinical severity.结核患者 T 细胞受体多样性有限与临床严重程度相关。
PLoS One. 2012;7(10):e48117. doi: 10.1371/journal.pone.0048117. Epub 2012 Oct 26.
7
A comparative analysis of TCR immune repertoire in COVID-19 patients.COVID-19 患者 TCR 免疫受体库的比较分析。
Hum Immunol. 2024 May;85(3):110795. doi: 10.1016/j.humimm.2024.110795. Epub 2024 Apr 6.
8
High-throughput sequencing of CD4 T cell repertoire reveals disease-specific signatures in IgG4-related disease.CD4 T 细胞 repertoire 的高通量测序揭示了 IgG4 相关疾病中的疾病特异性特征。
Arthritis Res Ther. 2019 Dec 19;21(1):295. doi: 10.1186/s13075-019-2069-6.
9
Longitudinal high-throughput TCR repertoire profiling reveals the dynamics of T-cell memory formation after mild COVID-19 infection.纵向高通量 TCR 库分析揭示了轻度 COVID-19 感染后 T 细胞记忆形成的动态。
Elife. 2021 Jan 5;10:e63502. doi: 10.7554/eLife.63502.
10
TRB sequences targeting ORF1a/b are associated with disease severity in hospitalized COVID-19 patients.靶向 ORF1a/b 的 TRB 序列与住院 COVID-19 患者的疾病严重程度相关。
J Leukoc Biol. 2022 Jan;111(1):283-289. doi: 10.1002/JLB.6COVCRA1120-762R. Epub 2021 Apr 13.

引用本文的文献

1
Integration of T cell repertoire, CyTOF, genotyping and symptomatology data reveals subphenotypic variability in COVID-19 patients.T细胞受体库、质谱流式细胞术、基因分型和症状学数据的整合揭示了COVID-19患者的亚表型变异性。
Comput Struct Biotechnol J. 2025 May 14;27:2063-2073. doi: 10.1016/j.csbj.2025.05.016. eCollection 2025.
2
Role of Artificial Intelligence in Identifying Vital Biomarkers with Greater Precision in Emergency Departments During Emerging Pandemics.人工智能在新发大流行期间急诊科更精准识别关键生物标志物中的作用
Int J Mol Sci. 2025 Jan 16;26(2):722. doi: 10.3390/ijms26020722.

本文引用的文献

1
Analyzing the role of ACE2, AR, MX1 and TMPRSS2 genetic markers for COVID-19 severity.分析 ACE2、AR、MX1 和 TMPRSS2 遗传标志物在 COVID-19 严重程度中的作用。
Hum Genomics. 2023 Jun 7;17(1):50. doi: 10.1186/s40246-023-00496-2.
2
Architecture of the SARS-CoV-2-specific T cell repertoire.SARS-CoV-2 特异性 T 细胞库的结构。
Front Immunol. 2023 Mar 20;14:1070077. doi: 10.3389/fimmu.2023.1070077. eCollection 2023.
3
Relevance of , CD163/CD206, and CD33 in clinical severity stratification of COVID-19.探讨 COVID-19 临床严重程度分层中 CD163/CD206 和 CD33 的相关性。
Front Immunol. 2023 Mar 8;13:1094644. doi: 10.3389/fimmu.2022.1094644. eCollection 2022.
4
T Cell Responses to SARS-CoV-2.T细胞对严重急性呼吸综合征冠状病毒2(SARS-CoV-2)的反应。
Annu Rev Immunol. 2023 Apr 26;41:343-373. doi: 10.1146/annurev-immunol-101721-061120. Epub 2023 Feb 7.
5
Machine learning identifies T cell receptor repertoire signatures associated with COVID-19 severity.机器学习识别与 COVID-19 严重程度相关的 T 细胞受体库特征。
Commun Biol. 2023 Jan 20;6(1):76. doi: 10.1038/s42003-023-04447-4.
6
Utility of Bulk T-Cell Receptor Repertoire Sequencing Analysis in Understanding Immune Responses to COVID-19.批量T细胞受体库测序分析在理解COVID-19免疫反应中的作用
Diagnostics (Basel). 2022 May 13;12(5):1222. doi: 10.3390/diagnostics12051222.
7
Highly multiplexed immune repertoire sequencing links multiple lymphocyte classes with severity of response to COVID-19.高度多重免疫组库测序将多种淋巴细胞类别与COVID-19的反应严重程度联系起来。
EClinicalMedicine. 2022 Jun;48:101438. doi: 10.1016/j.eclinm.2022.101438. Epub 2022 May 14.
8
Understanding T cell responses to COVID-19 is essential for informing public health strategies.了解针对 COVID-19 的 T 细胞反应对于制定公共卫生策略至关重要。
Sci Immunol. 2022 May 20;7(71):eabo1303. doi: 10.1126/sciimmunol.abo1303.
9
Development of a T cell-based immunodiagnostic system to effectively distinguish SARS-CoV-2 infection and COVID-19 vaccination status.开发一种基于 T 细胞的免疫诊断系统,以有效区分 SARS-CoV-2 感染和 COVID-19 疫苗接种状态。
Cell Host Microbe. 2022 Mar 9;30(3):388-399.e3. doi: 10.1016/j.chom.2022.02.003. Epub 2022 Feb 8.
10
T-Cell Repertoire Characteristics of Asymptomatic and Re-Detectable Positive COVID-19 Patients.无症状和重新检测呈阳性的 COVID-19 患者的 T 细胞免疫特征。
Front Immunol. 2022 Jan 27;12:769442. doi: 10.3389/fimmu.2021.769442. eCollection 2021.