Evidence map›Paper›PMID 42177684›Full record

ArticleClinical and experimental medicine2026

Plasma exosome lncRNA panel as a non-invasive biomarker for molecular diagnosis of systemic lupus erythematosus.

Zhi Li, Shujun Wan, Xueqin Li, Hui Yang, Kun Lv, Xiaolong Zhu, Mengying Zhang

Abstract read
In one paragraph

Article in Clinical and experimental medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Zhi LiDepartment of Rheumatology and Immunology, Yijishan Hospital of Wannan Medical College, Wuhu, People's Republic of China.
Shujun WanAnhui Province Key Laboratory of Non-coding RNA Basic and Clinical Transformation, Yijishan Hospital of Wannan Medical College, Wuhu, People's Republic of China.
Xueqin LiAnhui Province Key Laboratory of Non-coding RNA Basic and Clinical Transformation, Yijishan Hospital of Wannan Medical College, Wuhu, People's Republic of China.
Hui YangAnhui Province Key Laboratory of Non-coding RNA Basic and Clinical Transformation, Yijishan Hospital of Wannan Medical College, Wuhu, People's Republic of China.
Kun LvAnhui Province Key Laboratory of Non-coding RNA Basic and Clinical Transformation, Yijishan Hospital of Wannan Medical College, Wuhu, People's Republic of China.
Xiaolong ZhuAnhui Province Key Laboratory of Non-coding RNA Basic and Clinical Transformation, Yijishan Hospital of Wannan Medical College, Wuhu, People's Republic of China.
Mengying ZhangAnhui Province Key Laboratory of Non-coding RNA Basic and Clinical Transformation, Yijishan Hospital of Wannan Medical College, Wuhu, People's Republic of China. 51591569@qq.com.

Funding

Major Projects of Natural Science Research of Universities in Anhui Province 2022AH040177
6 · The paper itself

Abstract

Exosome-derived long non-coding RNAs (lncRNAs) have emerged as promising diagnostic biomarkers in various diseases. However, their diagnostic potential in systemic lupus erythematosus (SLE) remains largely unexplored. This study aimed to characterize plasma exosomal lncRNA profiles and identify candidate lncRNAs with diagnostic and disease-monitoring potential in SLE. Plasma exosomes were isolated from SLE patients and healthy controls (HCs), followed by high-throughput sequencing to characterize exosomal lncRNA expression profiles. Differentially expressed lncRNAs were identified and subsequently validated using quantitative real-time PCR (qRT-PCR). Correlations between the validated exosomal lncRNAs and clinical indicators of SLE were assessed. Receiver operating characteristic (ROC) curve and multivariate logistic regression analyses were performed to evaluate the diagnostic performance of the identified lncRNAs. Three plasma-derived exosomal lncRNAs-ENSG00000229882, MIR4713HG, and LINC00620-were significantly upregulated in SLE patients compared with HCs. Logistic regression analysis identified MIR4713HG and LINC00620 as predictors of SLE. A combined diagnostic model incorporating these two lncRNAs demonstrated diagnostic capacity for distinguishing SLE patients from HCs, with an area under the curve (AUC) of 0.759. Notably, exosomal LINC00620 expression was significantly upregulated in patients with active SLE compared with those with inactive disease and showed a positive correlation with SLE Disease Activity Index 2000 (SLEDAI-2 K scores). Plasma exosomal ENSG00000229882, MIR4713HG, and LINC00620 were significantly upregulated in SLE, indicating their potential as non-invasive diagnostic biomarkers. Particularly, LINC00620 showed a positive correlation with disease activity, suggesting its clinical utility for both SLE diagnosis and disease monitoring.

Indexed as

BiomarkersExosomesLupus Erythematosus, SystemicRNA, Long NoncodingAdultCase-Control StudiesFemaleGene Expression ProfilingHumansMaleMiddle AgedROC CurveBiomarkersRNA, Long NoncodingDiagnosisExosomelncRNAsPlasmaSystemic lupus erythematosus

Identifiers

PMID42177684
PMCPMC13375678

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.