Identifying biomarker signatures of prognostic value for Multisystem Inflammatory Syndrome in Children (MIS-C)
识别儿童多系统炎症综合征 (MIS-C) 预后价值的生物标志物特征
基本信息
- 批准号:10651536
- 负责人:
- 金额:$ 19.52万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-01-01 至 2023-05-31
- 项目状态:已结题
- 来源:
- 关键词:2019-nCoVAcuteAcute Renal Failure with Renal Papillary NecrosisAcute Respiratory Distress SyndromeAdipose tissueAdolescentAdultAntibodiesAntibody AffinityAntibody RepertoireAntibody ResponseAsthmaAttentionBiologicalBiological AssayBiological MarkersBiological ProductsBiosensorBlood VesselsCOVID-19COVID-19 diagnosisCOVID-19 patientCOVID-19 severityCardiacChildChildhoodClinicalCollaborationsColombiaCoupledDevelopmentDiagnosticDiseaseElderlyEnrollmentEnvironmental ExposureEpidemiologyEpigenetic ProcessEpitopesExhibitsFlow CytometryFluorescenceGenerationsGeneticGrantGrowthGut MucosaHumoral ImmunitiesImmuneImmune responseImmunoglobulin GImmunologicsInfectionInflammatoryInflammatory Bowel DiseasesIntervention StudiesKineticsLaboratoriesLibrariesMeasuresMechanical ventilationMindMolecularMolecular ConformationMucocutaneous Lymph Node SyndromeMultisystem Inflammatory Syndrome in ChildrenNeurosecretory SystemsNucleocapsidObesityOralOutcomeParentsPatient-Focused OutcomesPatientsPhage DisplayPharmaceutical PreparationsPopulationProteinsRADxRNA vaccinationRNA vaccineRespiratory distressRiskSARS-CoV-2 antibodySARS-CoV-2 exposureSARS-CoV-2 genomeSARS-CoV-2 infectionSARS-CoV-2 spike proteinSARS-CoV-2 variantSurface Plasmon ResonanceSymptomsSyndromeTechnologyTestingThrombosisTimeUnited StatesUnited States National Institutes of HealthVaccinatedVaccinationVaccinesVariantViral PneumoniaVirusaccurate diagnosisacute infectionbiomarker discoverybiomarker signaturecare outcomescerebrovascularcohortcostcross reactivitydiagnostic algorithmdiagnostic valuefight againstgut microbiomegut-brain axisimprovedminority childrenmortalityneutralizing antibodynovel coronavirusplasmonicspost SARS-CoV-2 infectionprognosticprognostic algorithmprognostic valueprognosticationprogramsresponserisk stratificationsevere COVID-19treatment strategyyoung adult
项目摘要
PROJECT SUMMARY / ABSTRACT – No Changes From the Original Application
In adults, SARS-CoV-2 infection exhibits a wide range of clinical outcomes, from asymptomatic and mild disease
to severe viral pneumonia, respiratory distress, acute kidney injury, thrombotic disorders, and serious cardiac,
cerebrovascular and vascular complications. Severe infection can also occur both in children and young adults
(< 21), and a significant proportion of children admitted with Covid-19 require ICU support, frequently including
mechanical ventilation. In addition, children and adolescents with initially asymptomatic SARS-CoV-2 infection
have presented with a rare, but very severe multisystem inflammatory syndrome (MIS-C). Epidemiologic, clinical
and laboratory predictors of progression towards severe forms of acute infection with SARS-CoV-2 and MIS-C
are thus urgently needed in the fight against Covid-19 in this population. As defined in the NIH Rapid
Acceleration of Diagnostics (RADx) program, biomarker discovery can enable risk stratification and guide
interventional studies to target Covid-19 patients at enhanced risk of developing complications and/or severe
disease. To target this discovery initiative, herein we will use a battery of biological, immunological and molecular
tests, including Grating-Coupled Fluorescence Plasmonic (GCFP) and advanced flow cytometry, to study
children and young adults (<21 years) with mild, moderate or severe SARS-CoV-2 infection. GCFP allows the
use of disposable biosensor chips that can be mass-produced at low cost and spotted in microarray format to
greatly increase multiplexing capabilities. In addition, we will use a similar biomarker approach for rapid
differentiation of patients with MIS-C versus other pediatric infectious or inflammatory conditions where the
clinical presentation resembles MIS-C, most importantly Kawasaki disease. A child's biologic and immunologic
response to SARS-CoV-2 exposure is likely influenced by a variety of factors, including genetics, epigenetics
and products of the mucosa/gut-brain axis, adipose tissue and neuroendocrine immune network, and further
modulated by environmental exposures. With these factors in mind, we hypothesize that a child's biomarker
profile in response to SARS-CoV-2 infection enables a timely and accurate prediction of severity of Covid-19
and diagnosis of MIS-C, and will help guide treatment strategies, and predict patient outcomes. To test this
hypothesis, we will use a non-traditional diagnostic and comprehensive biomarker discovery to characterize the
clinical and laboratory spectrum of children and adolescents with mild, moderate and severe SARS-CoV-2
infection, as well as MIS-C. We will then validate our newly developed diagnostic and prognostic algorithm to
distinguish MIS-C from other inflammatory disorders with overlapping clinical manifestations, including Kawasaki
disease, and predict the longitudinal risk of complications.
项目总结/摘要-与原始申请相比无变更
在成人中,SARS-CoV-2感染表现出广泛的临床结果,从无症状到轻度疾病,
严重病毒性肺炎、呼吸窘迫、急性肾损伤、血栓性疾病和严重心脏病,
脑血管和血管并发症。严重感染也可发生在儿童和年轻人
(< 21),很大一部分因Covid-19入院的儿童需要ICU支持,通常包括
机械通气此外,最初无症状的SARS-CoV-2感染的儿童和青少年
患有罕见但非常严重的多系统炎症综合征(MIS-C)。流行病学,临床
以及SARS-CoV-2和MIS-C严重急性感染进展的实验室预测因子
因此,在这一人群中抗击新冠肺炎的斗争中迫切需要。根据NIH Rapid
加速诊断(RADx)计划,生物标志物发现可以实现风险分层和指导
针对发生并发症和/或严重并发症风险增加的新冠肺炎患者的干预性研究
疾病为了瞄准这一发现的主动性,本文中我们将使用一系列生物学、免疫学和分子生物学方法。
测试,包括光栅耦合荧光等离子体(GCFP)和先进的流式细胞术,以研究
患有轻度、中度或重度SARS-CoV-2感染的儿童和年轻人(<21岁)。GCFP允许
使用可以低成本大量生产并以微阵列形式点样的一次性生物传感器芯片,
大大提高了多路复用能力。此外,我们将使用类似的生物标志物方法进行快速检测。
MIS-C患者与其他儿科感染性或炎性疾病患者的区分,
临床表现类似MIS-C,最重要的是川崎。儿童的生物学和免疫学
对SARS-CoV-2暴露的反应可能受到多种因素的影响,包括遗传学,表观遗传学,
以及粘膜/肠-脑轴、脂肪组织和神经内分泌免疫网络的产物,并且进一步
受到环境暴露的影响。考虑到这些因素,我们假设儿童的生物标志物
对SARS-CoV-2感染的反应谱能够及时准确地预测Covid-19的严重程度
和诊断MIS-C,并将有助于指导治疗策略,并预测患者的结果。为了验证这一
假设,我们将使用非传统的诊断和全面的生物标志物发现来表征
轻度、中度和重度SARS-CoV-2儿童和青少年的临床和实验室谱
感染,以及MIS-C。然后,我们将验证我们新开发的诊断和预后算法,
将MIS-C与其他具有重叠临床表现的炎性疾病(包括川崎)区分开来
疾病,并预测并发症的纵向风险。
项目成果
期刊论文数量(4)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Development of a biomarker signature using grating-coupled fluorescence plasmonic microarray for diagnosis of MIS-C.
使用光栅耦合荧光等离子微阵列开发生物标志物特征,以诊断MIS-C。
- DOI:10.3389/fbioe.2023.1066391
- 发表时间:2023
- 期刊:
- 影响因子:5.7
- 作者:
- 通讯作者:
Kawasaki Disease Hospitalizations in the United States 2016-2020: A Comparison of Before and During the Coronavirus Disease 2019 Era.
- DOI:10.1097/inf.0000000000003289
- 发表时间:2021-11-01
- 期刊:
- 影响因子:0
- 作者:Phamduy TT;Smith S;Herbst KW;Phamduy PT;Brimacombe M;Hogan AH;Salazar JC;Sturm J
- 通讯作者:Sturm J
Durability of Immunity Is Low Against Severe Acute Respiratory Syndrome Coronavirus 2 Omicron BA.1, BA.2, and BA.3 Variants After Second and Third Vaccinations in Children and Young Adults With Inflammatory Bowel Disease Receiving Biologics.
- DOI:10.1053/j.gastro.2022.08.009
- 发表时间:2022-12
- 期刊:
- 影响因子:29.4
- 作者:
- 通讯作者:
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{{ truncateString('MICHAEL A LYNES', 18)}}的其他基金
Identifying biomarker signatures of prognostic value for Multisystem Inflammatory Syndrome in Children (MIS-C)
识别儿童多系统炎症综合征 (MIS-C) 预后价值的生物标志物特征
- 批准号:
10320491 - 财政年份:2021
- 资助金额:
$ 19.52万 - 项目类别:
Identifying biomarker signatures of prognostic value for Multisystem Inflammatory Syndrome in Children (MIS-C)
识别儿童多系统炎症综合征 (MIS-C) 预后价值的生物标志物特征
- 批准号:
10273778 - 财政年份:2021
- 资助金额:
$ 19.52万 - 项目类别:
Identifying biomarker signatures of prognostic value for Multisystem Inflammatory Syndrome in Children (MIS-C)
识别儿童多系统炎症综合征 (MIS-C) 预后价值的生物标志物特征
- 批准号:
10847825 - 财政年份:2021
- 资助金额:
$ 19.52万 - 项目类别:
Identifying biomarker signatures of prognostic value for Multisystem Inflammatory Syndrome in Children (MIS-C)
识别儿童多系统炎症综合征 (MIS-C) 预后价值的生物标志物特征
- 批准号:
10733688 - 财政年份:2021
- 资助金额:
$ 19.52万 - 项目类别:
Automated Monitoring of Chemotactic Cell Movement
趋化细胞运动的自动监测
- 批准号:
6534228 - 财政年份:2000
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$ 19.52万 - 项目类别:
Automated Monitoring of Chemotactic Cell Movement
趋化细胞运动的自动监测
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6406033 - 财政年份:2000
- 资助金额:
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