Resistin-induced immunosuppression increases susceptibility to infectious lung injury and sepsis during AKI
抵抗素诱导的免疫抑制增加 AKI 期间感染性肺损伤和脓毒症的易感性
基本信息
- 批准号:10454126
- 负责人:
- 金额:$ 20.16万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-08-01 至 2023-07-31
- 项目状态:已结题
- 来源:
- 关键词:AbdomenAcuteAffectAmino Acid Sequence HomologyAntibioticsBacteriaBiochemicalBiological MarkersBloodBlood specimenC57BL/6 MouseCellsCessation of lifeClassificationClinicalClinical DataClinical ManagementClinical TrialsComputer ModelsControl GroupsConvalescenceCritical IllnessDataDiagnosticDiseaseDisease modelEvaluationExcisionExhibitsFunctional disorderFundingFutureGene ExpressionGenesGeneticGenotypeGoalsHealthcareHumanImmuneImmune System DiseasesImmunobiologyImmunocompromised HostImmunosuppressionImpairmentIn VitroInfectionInflammationKnock-inLinkMediatingMediator of activation proteinMedical GeneticsMentorsMentorshipMethodsModalityModelingMolecularMonitorMultivariate AnalysisMusNational Institute of General Medical SciencesNatural ImmunityOutcomePatientsPeritonitisPersonsPhasePhenotypePhysiciansPhysiologicalPhysiologyPlasmaPre-Clinical ModelPredictive ValuePredispositionProductionPrognosisPrognostic MarkerPromoter RegionsProspective StudiesProtocols documentationPublishingReactive Oxygen SpeciesRecoveryResearchRodent ModelRoleSamplingScientistSepsisSeptic ShockSeveritiesSignal TransductionSourceSyndromeTestingTherapeuticTherapeutic InterventionTransgenic MiceWorkadaptive immunityadverse outcomebasebody systemcareercecal ligation puncturecell motilitycytokinediagnostic algorithmdiagnostic biomarkerexperienceextracellularfightingimmunoregulationin vivolung injurymacrophagemonocytemortalitymouse modelneutrophilnovelnovel markernovel therapeuticsoutcome predictionprognosticpromoterprospectiveresistinresponsesepticseptic patientsspecific biomarkers
项目摘要
Modified Project Summary/Abstract
Sepsis is the broad term used to describe infection resulting in dysfunction of one or more organ systems. Recent data reveals that sepsis is not just a single entity, but rather a heterogeneous syndrome with at least four sub-types (or endotypes). These sepsis endotypes exhibit different disease courses and outcomes, and each is characterized by a unique immune profile. The Mars1 endotype, for example, has the worst prognosis of the four endotypes identified to date. It is typified by decreased expression of genes that regulate crucial signaling components of innate and adaptive immunity. A recent, prospective study proposed a method for the molecular classification of sepsis endotypes using a combination of clinical and genetic data. Better identification of heterogeneous sepsis endotypes may not only offer an explanation for why clinical trials for sepsis have thus far yielded no uniform beneficial effect on outcomes, but it may also help to develop diagnostic algorithms for practical use in healthcare, thus filling an urgent clinical need. We hypothesize that resistin, a novel biomarker of severe sepsis and septic shock, can be used to enhance classification of patients into different sepsis endotypes. More specifically, the hypothesis to be tested in this proposal is that elevated blood resistin levels following the onset of abdominal sepsis can enhance the predictive value of genotype- based models that prognosticate adverse outcomes in the septic shock subtype. This hypothesis is driven by our strong preliminary data which shows that resistin directly mediates immune dysfunction and is most elevated in patients having the most severe sequelae of sepsis. Our long-term goals are (i) to understand how blood resistin concentrations could potentially alter the course of management in septic patients, and (ii) to investigate resistin’s mechanistic role in cell-based immunomodulation throughout the course of sepsis. Our specific aims are to (1) determine the role of human resistin in the acute and convalescent phases of abdominal sepsis by employing a validated, humanized, rodent model of this disease, and (2) to determine the incremental utility of blood resistin concentration, when combined with clinical data, for predicting sepsis subtypes that are associated with poor outcomes. The applicant is an intensivist whose career goals are: (1) to gain mentored experience with preclinical models of sepsis, and (2) to obtain preliminary data which will guide future research as independent clinician-scientist. The applicant’s mentorship team encompasses a broad spectrum of research expertise ranging from physiology to immunobiology and statistical genetics. The goals of this study are aligned with the research objectives of the NIGMS: to identify, characterize and validate sepsis-specific biomarkers in order to advance endotyping strategies and future evaluation of diagnostics and novel therapies. The proposed research protocol, didactic work, and mentoring plan will enable the candidate transition to an independently funded physician-scientist, focusing on sepsis endotypes research which may change the clinical management of a deadly disease.
修改后的项目摘要/摘要
败血症是一个广义术语,用于描述导致一个或多个器官系统功能障碍的感染。最近的数据表明,脓毒症不仅仅是一个单一的实体,而是一种至少有四种亚型(或内型)的异质综合征。这些脓毒症内型表现出不同的疾病过程和结果,并且每种都具有独特的免疫特征。例如,Mars1 内型是迄今为止确定的四种内型中预后最差的。其典型特征是调节先天免疫和适应性免疫的关键信号成分的基因表达减少。最近的一项前瞻性研究提出了一种结合临床和遗传数据对脓毒症内型进行分子分类的方法。更好地识别异质脓毒症内型不仅可以解释为什么脓毒症临床试验迄今为止对结果没有产生统一的有益影响,而且还可能有助于开发实际用于医疗保健的诊断算法,从而满足紧迫的临床需求。我们假设抵抗素是严重脓毒症和脓毒性休克的一种新型生物标志物,可用于加强对患者不同脓毒症内型的分类。更具体地说,本提案要检验的假设是,腹部脓毒症发作后血液抵抗素水平升高可以增强基于基因型的模型的预测价值,该模型预测脓毒性休克亚型的不良后果。这一假设是由我们强有力的初步数据驱动的,这些数据表明抵抗素直接介导免疫功能障碍,并且在脓毒症后遗症最严重的患者中升高程度最高。我们的长期目标是(i)了解血液抵抗素浓度如何可能改变脓毒症患者的治疗过程,以及(ii)研究抵抗素在整个脓毒症过程中基于细胞的免疫调节中的机制作用。我们的具体目标是(1)通过采用经过验证的、人性化的啮齿动物模型来确定人类抵抗素在腹部脓毒症急性期和恢复期中的作用,以及(2)结合临床数据确定血液抵抗素浓度的增量效用,以预测与不良结果相关的脓毒症亚型。申请人是一名重症监护医师,其职业目标是:(1)获得脓毒症临床前模型的指导经验,以及(2)获得初步数据,以指导作为独立临床医生科学家的未来研究。申请人的导师团队涵盖了广泛的研究专业知识,从生理学到免疫生物学和统计遗传学。本研究的目标与 NIGMS 的研究目标一致:识别、表征和验证脓毒症特异性生物标志物,以推进内分型策略以及诊断和新疗法的未来评估。拟议的研究方案、教学工作和指导计划将使候选人能够转变为独立资助的医师科学家,重点关注脓毒症内型研究,这可能会改变致命疾病的临床管理。
项目成果
期刊论文数量(8)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Comparison of Rapid Cytokine Immunoassays for Functional Immune Phenotyping.
- DOI:10.3389/fimmu.2022.940030
- 发表时间:2022
- 期刊:
- 影响因子:7.3
- 作者:
- 通讯作者:
Integrated machine learning approaches for flow cytometric quantification of myeloid-derived suppressor cells in acute sepsis.
- DOI:10.3389/fimmu.2022.1007016
- 发表时间:2022
- 期刊:
- 影响因子:7.3
- 作者:
- 通讯作者:
Ex Vivo Endotoxin Stimulation of Blood for Predicting Survival in Patients With Sepsis: A Systematic Review.
血液的体外内毒素刺激预测脓毒症患者的生存:系统评价。
- DOI:10.1016/j.chstcc.2023.100029
- 发表时间:2023
- 期刊:
- 影响因子:0
- 作者:Wheelwright,Jonathan;Halstead,EScott;Knehans,Amy;Bonavia,AnthonyS
- 通讯作者:Bonavia,AnthonyS
Comparing Long-Term Prognosis in Chronic Critically Ill Patients: A Case Series Study of Medical versus Surgical Sepsis.
- DOI:10.3390/medicina59091617
- 发表时间:2023-09-07
- 期刊:
- 影响因子:0
- 作者:Mancini B;Liu J;Samuelsen A;Howrylak JA;Schultz L;Bonavia AS
- 通讯作者:Bonavia AS
Resistin production does not affect outcomes in a mouse model of acute surgical sepsis.
- DOI:10.1371/journal.pone.0265241
- 发表时间:2022
- 期刊:
- 影响因子:3.7
- 作者:Bonavia AS;Chroneos ZC;Ruiz-Velasco V;Lang CH
- 通讯作者:Lang CH
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Anthony S Bonavia其他文献
Anthony S Bonavia的其他文献
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{{ truncateString('Anthony S Bonavia', 18)}}的其他基金
Integration of Immunologic Phenotyping with Computational Approaches to Predict Clinical Trajectory in Septic Patients
免疫表型分析与计算方法相结合来预测脓毒症患者的临床轨迹
- 批准号:
10708534 - 财政年份:2023
- 资助金额:
$ 20.16万 - 项目类别:
Resistin-induced immunosuppression increases susceptibility to infectious lung injury and sepsis during AKI
抵抗素诱导的免疫抑制增加 AKI 期间感染性肺损伤和脓毒症的易感性
- 批准号:
10213099 - 财政年份:2020
- 资助金额:
$ 20.16万 - 项目类别:
Resistin-induced immunosuppression increases susceptibility to infectious lung injury and sepsis during AKI
抵抗素诱导的免疫抑制增加 AKI 期间感染性肺损伤和脓毒症的易感性
- 批准号:
10038344 - 财政年份:2020
- 资助金额:
$ 20.16万 - 项目类别:
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