AI-Guided Proteomic Discovery and Multi-Cohort Validation of a Circulative Protein Signature to Differentiate Bacterial and Viral Infections in Acute Febrile Illness
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 394
- 试验地点
- 1
- 主要终点
- Diagnostic Accuracy (AUROC) for differentiating bacterial vs viral infection
研究概览
简要总结
This study is a proteomics-based diagnostic biomarker study conducted on the same patient cohort as the transcriptomic biomarker study (NCT065529754). Although both studies share the same clinical cohort and overarching diagnostic aim, they are registered separately because they employ distinct omics technologies, investigate different biomarker modalities, and yield independent outcome measures.
详细描述
This study aims to identify and validate proteomics-based diagnostic biomarkers for differentiating bacterial from viral acute febrile illnesses. It is conducted on the same patient cohort previously used in a registered transcriptomic biomarker study (ClinicalTrials.gov Identifier: NCT065529754).
Although both studies share the overarching clinical objective of improving infection triage, they are scientifically independent in terms of methodology, biomarker modality, and analytical pipeline. Transcriptomic study (NCT065529754): Focused on host-response gene expression signatures derived from RNA sequencing data. Proteomic study (this registration): Focuses on host-response protein biomarkers identified through high-resolution mass spectrometry (DIA/PRM/SRM) and validated by immunoassays (ELISA).
The proteomics study is designed to discover a minimal and biologically distinct set of protein markers that can be readily translated into clinical diagnostics. This study evaluates a minimal set of circulating proteins-ICAM1, CFHR5, and GRN-discovered through AI-assisted proteomics and validated by ELISA, as a rapid diagnostic tool for bacterial vs viral infection. Patients with acute fever are prospectively enrolled into three cohorts: discovery, internal validation, and external validation.
This independent registration reflects the proteomics-specific objectives, methodology, and outcomes, while also acknowledging its linkage to the transcriptomics study.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Cross Sectional
入排标准
- 年龄范围
- 14 Years 至 —（Child, Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Age ≥14 years；
- •Body temperature > 38°C(within the past 72 hours)；
- •Disease duration ≤ 14 days；
- •Provision of informed consent by patient or legal guardian.
排除标准
- •Underlying diseases affecting immune function (e.g., advanced malignancy, autoimmune disease, immunodeficiency, use of immunosuppressants);
- •Pregnancy;
- •Mixed infections (including viral-bacterial co-infections, bacterial or viral-fungal co-infections, or autoimmune disease concomitant with bacterial infection);
- •indeterminate or negative microbiological testing ;
- •inability to provide informed consent
结局指标
主要结局
Diagnostic Accuracy (AUROC) for differentiating bacterial vs viral infection
时间窗: At hospital admission (retrospective review of cases from September 1, 2021 to October 31, 2024)
The area under the receiver operating characteristic curve (AUROC) will be calculated for the selected host-response protein biomarker panel to assess its ability to discriminate bacterial from viral infections in patients presenting with acute febrile illness.
次要结局
- Incremental diagnostic value of biomarker panel combined with CRP(At hospital admission (retrospective review of cases from September 1, 2021 to October 31, 2024))
- Prognostic value for sepsis severity (qSOFA ≥2) and adverse outcomes(At hospital admission (retrospective review of cases from September 1, 2021 to November 30, 2024))
- Sensitivity, specificity, PPV, NPV, LR+/LR- for differentiating bacterial vs viral infection(At hospital admission (retrospective review of cases from September 1, 2021 to October 31, 2024))
研究者
Gang Wang, MD
Principal Investigator
Qilu Hospital of Shandong University