Evidence map›Paper›PMID 40144341›Full record

ArticleNon-coding RNA research2025

Exosomes derived let-7f-5p is a potential biomarker of SLE with anti-inflammatory function.

Yi-Jing Liu, Hai-Bing Miao, Shu Lin, Zhen Chen

Abstract read
In one paragraph

Article in Non-coding RNA research, 2025. 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

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

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

4 authors.

Yi-Jing LiuDepartment of Rheumatology and Immunology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, China.
Hai-Bing MiaoDepartment of Rheumatology and Immunology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, China.
Shu LinCentre of Neurological and Metabolic Research, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, China.
Zhen ChenDepartment of Rheumatology and Immunology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study found that in patients with SLE (n = 5), lethal (let)-7f-5p expression was significantly downregulated in peripheral blood mononuclear cells. Further, high-throughput RNA sequencing was used to mine the differential transcriptome expression in renal tissue exosomes of systemic lupus erythematosus (SLE)-prone mice, and bioinformatics was utilized to analyze non-coding RNAs and coding RNAs in exosomes for their possible roles in SLE. In renal tissues of MRL/lpr SLE-prone mice with exosomes and Pristane-induced SLE mice, we also demonstrated aberrant expression levels of microRNA (miRNA) let-7f-5p. Meanwhile, in the macrophage inflammation model, the expression levels of let-7f-5p were downregulated, that of guanylate binding protein (Gbp2 and Gbp7) were upregulated, and the inflammatory state of macrophages was alleviated following transfection with the let-7f-5p mimic. Co-culturing mesenchymal stem cells with a macrophage model of inflammation resulted in increased let-7f-5p expression and downregulated inflammatory factors, Gbp2 and Gbp7 expression in macrophages. Dual luciferase reporter gene assays confirmed that let-7f-5p directly binds to the 3' UTR of Gbp7 to regulate its expression. Let-7f-5p regulation of the Gbp family is involved in SLE pathogenesis and is a biomarker associated with the inflammatory response with potential clinical applications.

Indexed as

ExosomesNon-coding RNASystemic lupus erythematosus

Identifiers

PMID40144341
PMCPMC11938083

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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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 Socratic graph.