Evidence map›Paper›PMID 40581066›Full record

ArticleHuman molecular genetics2025

Direct single cell-type gene expression analysis in peripheral blood: novel ratio-based gene expression biomarkers using 2 novel monocyte reference genes (PSAP and CTSS) for detection of bacterial infection.

Nelson L S Tang, Tsz-Ki Kwan, Dan Huang, Suk-Ling Ma, Kwong-Sak Leung

Registry-linked trialAbstract read
In one paragraph

Article in Human molecular genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06838780 (Peripheral Blood Single Cell-type Expression Profile of Interferon-stimulated and Other Biomarker Genes for Triage of Febrile Patients), which is not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT06838780 active not recruitingnot on this map

Peripheral Blood Single Cell-type Expression Profile of Interferon-stimulated and Other Biomarker Genes for Triage of Febrile Patients

TypeobservationalSponsorChinese University of Hong KongRan2018 to 2026Enrolled192ConditionsGene Expression, Gene Expression Profiling, Infection, Viral DiseasesArmsNo intervention
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Nelson L S TangDepartment of Chemical Pathology, and Li Ka Shing Institute of Health Science, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.
Tsz-Ki KwanCytomics Limited, Hong Kong Science Park, Hong Kong SAR, China.
Dan HuangSouthern University of Science and Technology, Shenzhen 518055, China.
Suk-Ling MaSchool of Arts and Humanities, Tung Wah College, Hong Kong SAR, China.
Kwong-Sak LeungDepartment of Computer Science and Engineering, Faculty of Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China.

Funding

HKSAR Government Innovation and Technology Fund PsH/130/24HKSTP Incubation Programme
6 · The paper itself

Abstract

backgroundTo determine single-cell-type gene expression in peripheral blood (PB) requires either prior cell sorting or single-cell RNA sequencing. We developed a novel ratio-based biomarker (RBB) called Direct Leukocyte Subpopulation-Transcript Abundance (DIRECT LS-TA) that allows quantification of monocyte-specific gene expression directly from PB without cell sorting.

methodsDIRECT LS-TA leverages proportional cell counts and differential gene expression profiles among leukocyte subpopulations to identify monocyte-informative genes. Using a new ICEBERG plot (Figure 1) based on a mathematical model of cell-mixture gene expression, we shortlisted genes with 2.5-fold higher expression in isolated monocytes compared to PB, indicating > 50% of transcript contribution by monocytes alone. PSAP and CTSS were identified as monocyte informative reference genes with low biological variation. Using one of them as the denominator, another monocyte informative target gene is used as the numerator to derive the RBB. The method was validated for detection of host response towards bacterial infection across multiple datasets.

findingsOver 50 monocyte-informative genes were identified, including immune response genes such as VNN1, IL1B, NLRC4 and IFI44L. DIRECT LS-TA results showed excellent correlation with gold standard isolated monocyte expression (R2 = 0.55-0.97). VNN1 RBB showed consistent upregulation across five datasets (median 2.7-fold, P < 10-8) with good diagnostic performance (AUC = 0.84-0.99). Other genes including NLRC4, CYP1B1 and NFKBIZ were also useful biomarkers.

conclusionDIRECT LS-TA provides a reliable way of quantification of monocyte-specific gene expression from PB without the need of cell sorting and demonstrated potential use for rapid infection detection and antibiotic stewardship.

Indexed as

Bacterial InfectionsMonocytesSingle-Cell AnalysisBiomarkersGene Expression ProfilingGene Expression RegulationHumansTranscriptomeBiomarkersBacterial infectionbloodDIRECT LS-TAMonocyteqPCRRatio-based biomarkerSingle cell-type gene expression

Identifiers

PMID40581066
PMCPMC12368773

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