• 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

全血转录组谱与结核性脑膜炎的发病机制。

Whole blood transcriptional profiles and the pathogenesis of tuberculous meningitis.

机构信息

Oxford University Clinical Research Unit, Ho Chi Minh City, Viet Nam.

Cambridge Baker Systems Genomics Initiative, Baker Heart and Diabetes Institute, Melbourne, Australia.

出版信息

Elife. 2024 Oct 30;13:RP92344. doi: 10.7554/eLife.92344.

DOI:10.7554/eLife.92344
PMID:39475467
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11524586/
Abstract

Mortality and morbidity from tuberculous meningitis (TBM) are common, primarily due to inflammatory response to infection, yet the underlying mechanisms remain poorly understood. We aimed to uncover genes and pathways associated with TBM pathogenesis and mortality, and determine the best predictors of death, utilizing whole-blood RNA sequencing from 281 Vietnamese adults with TBM, 295 pulmonary tuberculosis (PTB), and 30 healthy controls. Through weighted gene co-expression network analysis, we identified hub genes and pathways linked to TBM severity and mortality, with a consensus analysis revealing distinct patterns between HIV-positive and HIV-negative individuals. We employed multivariate elastic-net Cox regression to select candidate predictors of death, then logistic regression and internal bootstrap validation to choose best predictors. Increased neutrophil activation and decreased T and B cell activation pathways were associated with TBM mortality. Among HIV-positive individuals, mortality associated with increased angiogenesis, while HIV-negative individuals exhibited elevated TNF signaling and impaired extracellular matrix organization. Four hub genes-, and -were strong TBM mortality predictors. These findings indicate that TBM induces a systemic inflammatory response similar to PTB, highlighting critical genes and pathways related to death, offering insights for potential therapeutic targets alongside a novel four-gene biomarker for predicting outcomes.

摘要

结核性脑膜炎(TBM)的病死率和发病率较高,主要是由于感染后的炎症反应,但发病机制仍不清楚。本研究旨在利用来自 281 例越南成人 TBM、295 例肺结核(PTB)和 30 例健康对照者的全血 RNA 测序,发现与 TBM 发病机制和死亡率相关的基因和途径,并确定死亡的最佳预测因子。通过加权基因共表达网络分析,我们确定了与 TBM 严重程度和死亡率相关的枢纽基因和途径,一致性分析显示 HIV 阳性和 HIV 阴性个体之间存在明显不同的模式。我们采用多元弹性网 Cox 回归选择死亡的候选预测因子,然后采用逻辑回归和内部自举验证选择最佳预测因子。中性粒细胞激活增加和 T 细胞和 B 细胞激活途径减少与 TBM 死亡率相关。在 HIV 阳性个体中,与血管生成增加相关的死亡率,而 HIV 阴性个体则表现出 TNF 信号转导增加和细胞外基质组织受损。四个枢纽基因、和是 TBM 死亡率的强预测因子。这些发现表明,TBM 诱导了一种类似于 PTB 的全身性炎症反应,突出了与死亡相关的关键基因和途径,为潜在的治疗靶点提供了见解,并提出了一种用于预测结局的新型四个基因生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5c5/11524586/aafad6fae94e/elife-92344-fig9-figsupp3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5c5/11524586/9f910c9972f5/elife-92344-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5c5/11524586/052092fed67d/elife-92344-fig1-figsupp1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5c5/11524586/124e5fa41739/elife-92344-fig1-figsupp2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5c5/11524586/df98fd76c45f/elife-92344-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5c5/11524586/337d003b9af8/elife-92344-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5c5/11524586/042993ac2cc2/elife-92344-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5c5/11524586/bd5fe76f0526/elife-92344-fig4-figsupp1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5c5/11524586/4136ba6fd61f/elife-92344-fig4-figsupp2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5c5/11524586/dca90cc89288/elife-92344-fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5c5/11524586/c7330c7c5cd2/elife-92344-fig5-figsupp1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5c5/11524586/e83761ef743d/elife-92344-fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5c5/11524586/e97cae76b702/elife-92344-fig7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5c5/11524586/0f1da2328e59/elife-92344-fig8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5c5/11524586/81414ab66b6a/elife-92344-fig8-figsupp1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5c5/11524586/326bdccdc6e2/elife-92344-fig8-figsupp2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5c5/11524586/73b4de6337ac/elife-92344-fig9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5c5/11524586/b44d8520f49f/elife-92344-fig9-figsupp1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5c5/11524586/5a9ddbeb5902/elife-92344-fig9-figsupp2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5c5/11524586/aafad6fae94e/elife-92344-fig9-figsupp3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5c5/11524586/9f910c9972f5/elife-92344-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5c5/11524586/052092fed67d/elife-92344-fig1-figsupp1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5c5/11524586/124e5fa41739/elife-92344-fig1-figsupp2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5c5/11524586/df98fd76c45f/elife-92344-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5c5/11524586/337d003b9af8/elife-92344-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5c5/11524586/042993ac2cc2/elife-92344-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5c5/11524586/bd5fe76f0526/elife-92344-fig4-figsupp1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5c5/11524586/4136ba6fd61f/elife-92344-fig4-figsupp2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5c5/11524586/dca90cc89288/elife-92344-fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5c5/11524586/c7330c7c5cd2/elife-92344-fig5-figsupp1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5c5/11524586/e83761ef743d/elife-92344-fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5c5/11524586/e97cae76b702/elife-92344-fig7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5c5/11524586/0f1da2328e59/elife-92344-fig8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5c5/11524586/81414ab66b6a/elife-92344-fig8-figsupp1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5c5/11524586/326bdccdc6e2/elife-92344-fig8-figsupp2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5c5/11524586/73b4de6337ac/elife-92344-fig9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5c5/11524586/b44d8520f49f/elife-92344-fig9-figsupp1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5c5/11524586/5a9ddbeb5902/elife-92344-fig9-figsupp2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5c5/11524586/aafad6fae94e/elife-92344-fig9-figsupp3.jpg

相似文献

1
Whole blood transcriptional profiles and the pathogenesis of tuberculous meningitis.全血转录组谱与结核性脑膜炎的发病机制。
Elife. 2024 Oct 30;13:RP92344. doi: 10.7554/eLife.92344.
2
A randomised double blind placebo controlled phase 2 trial of adjunctive aspirin for tuberculous meningitis in HIV-uninfected adults.一项辅助阿司匹林治疗 HIV 阴性成人结核性脑膜炎的随机双盲安慰剂对照 2 期试验。
Elife. 2018 Feb 27;7:e33478. doi: 10.7554/eLife.33478.
3
A retrospective study on intracranial mixed infection with tuberculous meningitis in Shenzhen, China.中国深圳颅内结核性脑膜炎合并感染的回顾性研究。
Microbiol Spectr. 2024 Jul 2;12(7):e0374723. doi: 10.1128/spectrum.03747-23. Epub 2024 May 20.
4
Neutrophil-associated central nervous system inflammation in tuberculous meningitis immune reconstitution inflammatory syndrome.结核性脑膜炎免疫重建炎症综合征中的中性粒细胞相关中枢神经系统炎症
Clin Infect Dis. 2014 Dec 1;59(11):1638-47. doi: 10.1093/cid/ciu641. Epub 2014 Aug 8.
5
The Ability of a 3-Gene Host Signature in Blood to Distinguish Tuberculous Meningitis From Other Brain Infections.血液中 3 个宿主基因标志物的能力可区分结核性脑膜炎与其他脑部感染。
J Infect Dis. 2024 Aug 16;230(2):e268-e278. doi: 10.1093/infdis/jiad606.
6
Central Inflammatory Cytokines in Tuberculous Meningitis: A Systematic Review and Meta-analysis.结核性脑膜炎中的中枢炎症细胞因子:系统评价与荟萃分析
J Interferon Cytokine Res. 2022 Mar;42(3):95-107. doi: 10.1089/jir.2021.0176.
7
Intensified treatment with high dose rifampicin and levofloxacin compared to standard treatment for adult patients with tuberculous meningitis (TBM-IT): protocol for a randomized controlled trial.强化治疗高剂量利福平联合左氧氟沙星与标准治疗成人结核性脑膜炎(TBM-IT)的随机对照试验方案。
Trials. 2011 Feb 2;12:25. doi: 10.1186/1745-6215-12-25.
8
Clinical Parameters, Routine Inflammatory Markers, and LTA4H Genotype as Predictors of Mortality Among 608 Patients With Tuberculous Meningitis in Indonesia.临床参数、常规炎症标志物及白三烯A4水解酶(LTA4H)基因型作为印度尼西亚608例结核性脑膜炎患者死亡率的预测指标
J Infect Dis. 2017 Apr 1;215(7):1029-1039. doi: 10.1093/infdis/jix051.
9
Pretreatment intracerebral and peripheral blood immune responses in Vietnamese adults with tuberculous meningitis: diagnostic value and relationship to disease severity and outcome.越南成年结核性脑膜炎患者治疗前的脑内和外周血免疫反应:诊断价值及其与疾病严重程度和预后的关系
J Immunol. 2006 Feb 1;176(3):2007-14. doi: 10.4049/jimmunol.176.3.2007.
10
Prognostic Models for 9-Month Mortality in Tuberculous Meningitis.结核性脑膜炎 9 个月死亡率的预测模型。
Clin Infect Dis. 2018 Feb 1;66(4):523-532. doi: 10.1093/cid/cix849.

引用本文的文献

1
A clinical practice guideline for tuberculous meningitis.结核性脑膜炎临床实践指南。
Lancet Infect Dis. 2025 Aug 18. doi: 10.1016/S1473-3099(25)00364-0.
2
Identification of predictors for bacterial meningitis diagnosis based on transcriptomics and genetic analysis.基于转录组学和基因分析鉴定细菌性脑膜炎诊断的预测指标。
AMB Express. 2025 May 30;15(1):84. doi: 10.1186/s13568-025-01893-7.
3
Epidemiology, Pathogenesis, Clinical Manifestations, and Management Strategies of Tuberculous Meningitis.结核性脑膜炎的流行病学、发病机制、临床表现及治疗策略

本文引用的文献

1
Adjunctive Dexamethasone for Tuberculous Meningitis in HIV-Positive Adults.HIV 阳性成人结核性脑膜炎的辅助性地塞米松治疗。
N Engl J Med. 2023 Oct 12;389(15):1357-1367. doi: 10.1056/NEJMoa2216218.
2
Tryptophan metabolism determines outcome in tuberculous meningitis: a targeted metabolomic analysis.色氨酸代谢决定结核性脑膜炎的结局:一项靶向代谢组学分析。
Elife. 2023 May 9;12:e85307. doi: 10.7554/eLife.85307.
3
The global burden of tuberculous meningitis in adults: A modelling study.成人结核性脑膜炎的全球负担:一项建模研究。
Arch Intern Med Res. 2025;8(1):48-58. doi: 10.26502/aimr.0195. Epub 2025 Feb 10.
PLOS Glob Public Health. 2021 Dec 8;1(12):e0000069. doi: 10.1371/journal.pgph.0000069. eCollection 2021.
4
Development and Validation of a Prognostic Model and Bedside Score for the Neurological Outcome in Children with Tuberculous Meningitis.结核性脑膜炎患儿神经结局的预后模型和床边评分的建立和验证。
Am J Trop Med Hyg. 2022 Oct 10;107(6):1288-1294. doi: 10.4269/ajtmh.22-0253. Print 2022 Dec 14.
5
Impact of Infection on Human B Cell Compartment and Antibody Responses.感染对人体 B 细胞区室和抗体应答的影响。
Cells. 2022 Sep 17;11(18):2906. doi: 10.3390/cells11182906.
6
Whole transcriptome sequencing reveals neutrophils' transcriptional landscape associated with active tuberculosis.全转录组测序揭示与活动性肺结核相关的中性粒细胞转录图谱。
Front Immunol. 2022 Aug 18;13:954221. doi: 10.3389/fimmu.2022.954221. eCollection 2022.
7
The relationship between absolute counts of lymphocyte subsets and clinical features in patients with pulmonary tuberculosis.淋巴细胞亚群绝对计数与肺结核患者临床特征的关系。
Clin Respir J. 2022 May;16(5):369-379. doi: 10.1111/crj.13490. Epub 2022 May 6.
8
Tuberculous meningitis: progress and remaining questions.结核性脑膜炎:进展与未解之问。
Lancet Neurol. 2022 May;21(5):450-464. doi: 10.1016/S1474-4422(21)00435-X.
9
Prevalence of primary immunodeficiency syndromes in tuberculous meningitis: A case-control study.结核性脑膜炎中原发性免疫缺陷综合征的患病率:一项病例对照研究。
J Infect Public Health. 2022 Jan;15(1):29-35. doi: 10.1016/j.jiph.2021.11.019. Epub 2021 Dec 2.
10
Prognostic factors of adult tuberculous meningitis in intensive care unit: a single-center retrospective study in East China.重症监护病房成人结核性脑膜炎的预后因素:华东地区单中心回顾性研究。
BMC Neurol. 2021 Aug 10;21(1):308. doi: 10.1186/s12883-021-02340-3.