Evidence map›Paper›PMID 42353822›Full record

ArticleGenes2026

A Staged Whole-Blood Transcriptomic Framework Identifies a Compact Myeloid-Lymphoid Activity Score in Systemic Lupus Erythematosus.

Chuanwei Zhang, Lijun Pang, Ziheng Zhu, Jianing Wang, Chuanbing Huang

Abstract read
In one paragraph

Article in Genes, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the 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

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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

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

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.

Chuanwei ZhangDepartment of Rheumatology, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei 230038, China.
Lijun PangDepartment of Rheumatology, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei 230038, China.
Ziheng ZhuDepartment of Rheumatology, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei 230038, China.
Jianing WangDepartment of Rheumatology, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei 230038, China.
Chuanbing HuangDepartment of Rheumatology, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei 230038, China.ORCID 0009-0005-1322-2651

Funding

Clinical Medical Research Translational Special Project of Anhui Province 202304295107020115National Natural Science Foundation of China 82104782Research Funds of Center for Xin'an Medicine and Modernization of Traditional Chinese Medicine of IHM 2023CXMMTCM015
6 · The paper itself

Abstract

BACKGROUND/

objectivesPeripheral-blood transcriptomic profiling can capture molecular heterogeneity in systemic lupus erythematosus (SLE), but discovery-stage signatures often show limited transportability across cohorts and validation layers. This study aimed to establish a staged whole-blood transcriptomic framework and to derive a compact, biologically interpretable activity score.

methodsPublic whole-blood bulk transcriptome cohorts were organised into discovery, public validation, and single-cell reference layers. Local orthogonal validation included a peripheral blood mononuclear cell (PBMC) reverse transcription quantitative PCR (RT-qPCR)/flow-cytometric cohort and an expanded whole-blood RT-qPCR validation set. Discovery-stage BloodGen3 profiling included 233 samples, comprising 170 SLE and 63 healthy controls, and endotype discovery was restricted to SLE samples. Candidate genes were compressed into two 6-gene panels, with final selection adjudicated through staged public validation.

resultsTwo working whole-blood endotypes were identified, characterised by lymphoid versus myeloid/neutrophil-inflammatory polarisation. Although pre6-any showed a marginal discovery-stage advantage, the predefined integrated public-stage adjudication favoured pre6-balanced (

conclusionsThis staged framework yielded a compact myeloid-lymphoid activity score supported across public and local validation layers. The score should be interpreted as a research-grade relative activity score and warrants prospective evaluation in SLE.

Indexed as

Gene Expression ProfilingLupus Erythematosus, SystemicLymphocytesTranscriptomeAdultCase-Control StudiesFemaleHumansLeukocytes, MononuclearMaleMiddle AgedMyeloid CellsBloodGen3compact transcriptomic scoreimmune-state stratificationmolecular endotypessystemic lupus erythematosuswhole-blood transcriptomics

Identifiers

PMID42353822
PMCPMC13300284

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.