gain of function

功能增益
  • 文章类型: Multicenter Study
    背景:JAK/STAT信号传导失调的先天性免疫错误(IEI)表现为免疫失调和感染的各种表现。造血干细胞移植(HSCT)是潜在的治愈,但最初报告的结果较差.JAK抑制剂(JAKi)提供了一种靶向治疗选择,可能是HSCT的替代或桥梁。然而,关于它们当前使用的数据,治疗效果和不良事件(AE)有限。
    目的:我们评估了目前ESID/EBMT-IEWP中心中JAK/STATIEI的标签外JAKi治疗经验。
    方法:多中心回顾性研究患有JAK/STAT信号过度活跃的遗传性疾病的患者,谁接受JAKI治疗至少3个月。
    结果:评估了69例患者(72%的儿童)(45STAT1-GOF,21STAT3-GOF,1个STAT5B-GOF,1SOCS1-LOF,1JAK1-GOF)。鲁索替尼是主要的处方JAKI(80%)。总的来说,治疗使87%的STAT1-GOF患者和90%的STAT3-GOF患者的临床症状得到改善(部分或完全缓解).我们记录了非常不均匀的给药和监测方案。响应率和响应时间因不同疾病和表现而异。AE(即感染和体重增加)是常见的(38%的患者),但轻度(I-II级)和短暂的大多数患者。在最后的随访中,52/69(74%)的患者仍在接受JAKI治疗,而11例患者在之前的JAKI桥接治疗后最终接受了HSCT,总生存率为91%.
    结论:我们的研究表明JAKi可能对有症状的JAK/STAT-IEI患者非常有效。应进行前瞻性研究,以确定可变临床表现和年龄范围的最佳JAKi剂量。
    Inborn errors of immunity (IEI) with dysregulated JAK/STAT signaling present with variable manifestations of immune dysregulation and infections. Hematopoietic stem cell transplantation (HSCT) is potentially curative, but initially reported outcomes were poor. JAK inhibitors (JAKi) offer a targeted treatment option that may be an alternative or bridge to HSCT. However, data on their current use, treatment efficacy and adverse events are limited.
    We evaluated the current off-label JAKi treatment experience for JAK/STAT inborn errors of immunity (IEI) among European Society for Immunodeficiencies (ESID)/European Society for Blood and Marrow Transplantation (EBMT) Inborn Errors Working Party (IEWP) centers.
    We conducted a multicenter retrospective study on patients with a genetic disorder of hyperactive JAK/STAT signaling who received JAKi treatment for at least 3 months.
    Sixty-nine patients (72% children) were evaluated (45 STAT1 gain of function [GOF], 21 STAT3-GOF, 1 STAT5B-GOF, 1 suppressor of cytokine signaling 1 [aka SOCS1] loss of function, 1 JAK1-GOF). Ruxolitinib was the predominantly prescribed JAKi (80%). Overall, treatment resulted in improvement (partial or complete remission) of clinical symptoms in 87% of STAT1-GOF and in 90% of STAT3-GOF patients. We documented highly heterogeneous dosing and monitoring regimens. The response rate and time to response varied across different diseases and manifestations. Adverse events including infection and weight gain were frequent (38% of patients) but were mild (grade I-II) and transient in most patients. At last follow-up, 52 (74%) of 69 patients were still receiving JAKi treatment, and 11 patients eventually underwent HSCT after receipt of previous JAKi bridging therapy, with 91% overall survival.
    Our study suggests that JAKi may be highly effective to treat symptomatic JAK/STAT IEI patients. Prospective studies to define optimal JAKi dosing for the variable clinical presentations and age ranges should be pursued.
    导出

    更多引用

    收藏

    翻译标题摘要

    我要上传

    求助全文

  • 文章类型: Journal Article
    在人类中有效传播的抗原性新型禽流感病毒(IAV)的自然适应有可能引发毁灭性的大流行。因此,了解适应背后的病毒遗传决定因素对于大流行防备至关重要,随着获得的知识加强了监测和根除工作,大流行疫苗设计,和抗病毒药物的疗效评估。然而,这项工作有风险,因为在完全感染性的IAV中进行功能获得性置换可能会产生具有大流行潜力的病原体。因此,必须通过物理和生物风险缓解策略严格控制此类实验。这里,我们对2009年大流行H1N1毒株和高致病性H5N1毒株应用了先前描述的IAVs生物遏制系统.该系统依赖于必需的病毒血凝素(HA)基因的缺失,而是以反式提供,从而将多周期病毒复制限制到遗传修饰的HA互补细胞。代替HA,海肾荧光素酶基因插入病毒基因组中,和活细胞荧光素酶底物允许实时定量监测具有高动态范围的病毒复制动力学。我们证明了生物包含的IAV样颗粒对批准的抗病毒药物表现出野生型敏感性,包括奥司他韦,扎那米韦,还有Baloxavir.此外,这些IAV样颗粒无法从基因上获得宿主编码的HA,这使我们能够在H5HA基因中引入功能获得取代,从而促进哺乳动物的传播.生物含有的“传染性”H5N1IAV样颗粒对批准的抗病毒药物表现出野生型敏感性,融合抑制剂S20,并通过现有的H5单克隆和多克隆血清中和。这项工作证明了生物包含的IAV系统可用于安全地进行选定的功能增益实验的原理。重要性了解动物流感病毒如何适应在人类中的传播至关重要,并防止,新的流行病。然而,安全地与具有大流行潜力的病原体一起工作需要严格的监管,并使用高水平的物理和生物风险缓解策略来阻止意外的遏制损失。这里,我们使用流感病毒的生物遏制系统来研究具有大流行潜力的毒株。该系统依赖于从病毒基因组中删除必需的HA基因,并通过遗传修饰的细胞系提供该基因。因此,病毒传播受到限制。我们表明,这种方法允许安全处理这些病原体,包括函数增益变体,没有产生完全感染性病毒的风险。此外,我们证明该系统可用于评估病毒对已批准和实验药物的敏感性,以及病毒的抗原特征,评估流行前疫苗和抗病毒策略的重要考虑因素。
    Natural adaptation of an antigenically novel avian influenza A virus (IAV) to be transmitted efficiently in humans has the potential to trigger a devastating pandemic. Understanding viral genetic determinants underlying adaptation is therefore critical for pandemic preparedness, as the knowledge gained enhances surveillance and eradication efforts, prepandemic vaccine design, and efficacy assessment of antivirals. However, this work has risks, as making gain-of-function substitutions in fully infectious IAVs may create a pathogen with pandemic potential. Thus, such experiments must be tightly controlled through physical and biological risk mitigation strategies. Here, we applied a previously described biological containment system for IAVs to a 2009 pandemic H1N1 strain and a highly pathogenic H5N1 strain. The system relies on deletion of the essential viral hemagglutinin (HA) gene, which is instead provided in trans, thereby restricting multicycle virus replication to genetically modified HA-complementing cells. In place of HA, a Renilla luciferase gene is inserted within the viral genome, and a live-cell luciferase substrate allows real-time quantitative monitoring of viral replication kinetics with a high dynamic range. We demonstrate that biologically contained IAV-like particles exhibit wild-type sensitivities to approved antivirals, including oseltamivir, zanamivir, and baloxavir. Furthermore, the inability of these IAV-like particles to genetically acquire the host-encoded HA allowed us to introduce gain-of-function substitutions in the H5 HA gene that promote mammalian transmissibility. Biologically contained \"transmissible\" H5N1 IAV-like particles exhibited wild-type sensitivities to approved antivirals, to the fusion inhibitor S20, and to neutralization by existing H5 monoclonal and polyclonal sera. This work represents a proof of principle that biologically contained IAV systems can be used to safely conduct selected gain-of-function experiments.IMPORTANCE Understanding how animal influenza viruses can adapt to spread in humans is critical to prepare for, and prevent, new pandemics. However, working safely with pathogens that have pandemic potential requires tight regulation and the use of high-level physical and biological risk mitigation strategies to stop accidental loss of containment. Here, we used a biological containment system for influenza viruses to study strains with pandemic potential. The system relies on deletion of the essential HA gene from the viral genome and its provision by a genetically modified cell line, to which virus propagation is therefore restricted. We show that this method permits safe handling of these pathogens, including gain-of-function variants, without the risk of generating fully infectious viruses. Furthermore, we demonstrate that this system can be used to assess virus sensitivity to both approved and experimental drugs, as well as the antigenic profile of viruses, important considerations for evaluating prepandemic vaccine and antiviral strategies.
    导出

    更多引用

    收藏

    翻译标题摘要

    我要上传

       PDF(Sci-hub)

       PDF(Pubmed)

  • 文章类型: Journal Article
    随着基因组测序项目的完成,发育生物学家面临的一个新挑战是将功能分配给成千上万个已鉴定的基因。外源mRNA的表达是一个强大的,可用于研究海胆发育过程中的基因功能的通用和快速技术。本章介绍了该技术如何用于分析棘皮动物胚胎中的基因功能,如何将其与细胞移植结合以进行镶嵌分析,以及如何将其应用于识别转录因子和信号通路的下游靶基因。我们描述了使用mRNA过表达来分析基因功能的具体例子,提到了该技术的益处和目前的局限性,并强调了使用不同对照来评估所观察到的效应的特异性的重要性。最后,本章详细介绍了不同的步骤,用于体外产生mRNA和表型分析的载体和方案。
    With the completion of the genome sequencing projects, a new challenge for developmental biologists is to assign a function to the thousands of genes identified. Expression of exogenous mRNAs is a powerful, versatile and rapid technique that can be used to study gene function during development of the sea urchin. This chapter describes how this technique can be used to analyze gene function in echinoderm embryos, how it can be combined with cell transplantation to perform mosaic analysis and how it can be applied to identify downstream targets genes of transcription factors and signaling pathways. We describe specific examples of the use of overexpression of mRNA to analyze gene function, mention the benefits and current limitations of the technique and emphasize the importance of using different controls to assess the specificity of the effects observed. Finally, this chapter details the different steps, vectors and protocols for in vitro production of mRNA and phenotypic analysis.
    导出

    更多引用

    收藏

    翻译标题摘要

    我要上传

       PDF(Sci-hub)

公众号