Febrile illness is a common condition and it is crucial to have an early triage of patients according to various aetiologies to enable appropriate treatment. Currently, most screening/diagnostic tests target the detection of pathogens, while only a few assays aim to understand the host response, and they are mostly based on a measurement of serum proteins (e.g. CRP or procalcitonin). Recently, blood transcriptome has been explored to differentiate bacterial and viral infections. However, gene expression in blood represents a composite score of gene expression of all the component cell-types present in the sample. Here, we propose to develop a rapid test that can determine gene expressions of a specified single cell type in peripheral blood (e.g., monocytes or granulocytes) as a host response biomarker to differentiate three major categories of infections that are bacterial, viral, and tuberculosis The assay is called Direct Leukocyte Single cell-type transcript abundance (TA) assay (DIRECT LS-TA) as it can directly determine the gene expression of a specified single cell-type among various other leukocyte populations directly in a peripheral blood sample. Such results signify the nature of host response according to 3 or more axes (Type I or Type II interferon signaling response or pro-inflammatory cytokine signaling) And it can be used to indicate the type of underlying infection (viral, bacterial, or active tuberculosis).
DIRECT LS-TA is a ratio-based biomarker (RBB) for blood gene expression analysis which can be performed in commonly available equipments (e.g. qPCR or digital PCR machines). Using the ratio of TA of prior defined numerator gene and denominator gene, this RBB can quantify gene expression of the specified constitutional single cell-type (e.g. monocytes and granulocytes) inside a cell-mixture sample of Whole blood. DIRECT LS-TA was a method pioneered by the PI \[Tang 2017, https://patents.google.com/patent/US9589099B2/\]. And it has been developed for quantification of early B cell response after vaccination \[DOI: 10.3390/genes12070971\]. Recently, the method is used to develop host response biomarkers after infection to differentiate the type of pathogens (such as viral, bacterial or active tuberculosis). Numerator and denominator genes have been identified by using public gene expression datasets for monocytes and granulocytes. Diagnostic performance was good using these public data. Therefore, these RBBs will be applied in the prospective study to evaluate and compare their diagnostic (triage) performance of febrile patients into different pathogen etiologies. Comparing to other methods to obtain single cell-type gene expression data, DIRECT LS-TA has many advantages The conventional (gold standard) approach is to quantify gene expression in a sample of purified single cell-type from peripheral blood but it is very labour intensive procedure. Recent single-cell RNA sequencing can also provide gene expression data for every individual cell in a sample, but it is slow and very costly. DIRECT LS-TA provides the unique technique to quantify single cell-type gene expression in blood samples without the need to isolate the targeted cell-type. It has been used to differentiate the type of host response in fever patients into 3 major axes (Type I or Type II interferon signaling response or pro-inflammatory cytokine signaling) which correspond to the nature of underlying infection aetiologies (viral infection, active tuberculosis and bacterial infection). See preprint DOI: 10.1101/2025.01.27.634977. and patents in B cells : https://patents.google.com/patent/WO2022089426A1/ Monocytes: https://patents.google.com/patent/WO2023109365A1/ Granulocytes : https://patents.google.com/patent/GB202400180D0/
Study Type
OBSERVATIONAL
Enrollment
200
Patients will receive clinical treatment with no special intervention in this observational study. There is no difference in term of treatment of patients. It only involves one additional blood sampling early after admission.
Dept of Chemical Pathology, Chinese University of Hong Kong
Hong Kong, Hong Kong
Viral host response Direct LS-TA in monocytes (Type I interferon response)
Direct LS-TA is a kind of RBB that can be readily quantified by qPCR or dPCR of a pair of genes, the RBB numerator gene and the RBB denominator gene. The biomarker is the ratio of the 2 genes. Single cell-type: Monocyte. RBB numerator gene: IFI27 or IFI44L. RBB denominator gene: PSAP, CTSS or CPVL. The various RBB (e.g. IFI27/PSAP and IFI44L/PSAP ratios) will be compared in terms of their sensitivity/specificity of diagnostic performance in the samples from infection groups. AUC of ROC analysis will be performed where appropriate.
Time frame: first collected sample within the first week after admission
Viral host response Direct LS-TA in granulocytes (Type I interferon response)
Direct LS-TA is a kind of RBB that can be readily quantified by qPCR or dPCR of a pair of genes, the RBB numerator gene and the RBB denominator gene. The biomarker is the ratio of the 2 genes. Single cell-type: Granulocyte. RBB numerator gene: RSAD2 or IFIT1. RBB denominator gene: SAT1 or SRGN. The various RBB will be compared in terms of their sensitivity/specificity of diagnostic performance in the infection groups. AUC of ROC analysis will be performed where appropriate.
Time frame: first collected sample within the first week after admission
Bacterial infection host response Direct LS-TA in monocytes (pro-inflammatory response)
Direct LS-TA is a kind of RBB that can be readily quantified by qPCR or digital PCR (dPCR) of a pair of genes, the RBB numerator gene and the RBB denominator gene. The biomarker is the ratio of the 2 genes. Single cell-type: Monocyte. RBB numerator gene: VNN1 or NLRC4. RBB denominator gene: PSAP, CTSS or CPVL. The various RBBs will be compared in terms of their sensitivity/specificity of diagnostic performance in the infection groups. AUC of ROC analysis will be performed where appropriate.
Time frame: first collected sample within the first week after admission
Bacterial infection host response Direct LS-TA in granulocytes (pro-inflammatory response)
Direct LS-TA is a kind of RBB that can be readily quantified by qPCR or dPCR of a pair of genes, the RBB numerator gene and the RBB denominator gene. The biomarker is the ratio of the 2 genes. Single cell-type: Granulocyte. RBB numerator gene: ALPL, ANXA3 or ARG1. RBB denominator gene: SAT1 or SRGN. The various RBB will be compared in terms of their sensitivity/specificity of diagnostic performance in the infection groups. AUC of ROC analysis will be performed where appropriate.
Time frame: first collected sample within the first week after admission
Active TB host response Direct LS-TA in monocytes (Type II interferon response)
Direct LS-TA is a kind of RBB that can be readily quantified by qPCR or dPCR of a pair of genes, the RBB numerator gene and the RBB denominator gene. The biomarker is the ratio of the 2 genes. Single cell-type: Monocyte. RBB numerator gene: WARS1, ATF3 or CALHM6. RBB denominator gene: PSAP, CTSS or CPVL. The various RBB will be compared in terms of their sensitivity/specificity of diagnostic performance in infection groups. AUC of ROC analysis will be performed where appropriate.
Time frame: first collected sample within the first week after admission
Active TB host response Direct LS-TA in granulocytes (Type II interferon response)
Direct LS-TA is a kind of RBB that can be readily quantified by qPCR or dPCR of a pair of genes, the RBB numerator gene and the RBB denominator gene. The biomarker is the ratio of the 2 genes. Single cell-type: granulocyte. RBB numerator gene: ANKRD22, BATF2, CD274, FCGR1A or ETV7. RBB denominator gene: SAT1 or SRGN. The various RBB will be compared in terms of their sensitivity/specificity of diagnostic performance in infection groups. AUC of ROC analysis will be performed where appropriate.
Time frame: first collected sample within the first week after admission
DIRECT LS-TA results distribution and median of these DIRECT LS-TA RBB in infection groups
The statistical distribution of the biomarker and statistical comparison to the control range or comparison to control group median. The outcomes will be reported as p-values of the statistical tests.
Time frame: first collected sample within the first week after admission
Method evaluation to compare the performance of quantitative PCR and digital PCR
Evaluate the assay performance and precision of both TA quantification methods: quantitative PCR and digital PCR. Quantitative PCR results will be reported as delta-delta CT values. Digital PCR results will be reported as ratios of 2 counts. And then converted to multiple of mean/median in the control control (MoM) for comparison with delta-delta CT values.
Time frame: first collected sample within the first week after admission
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