Evidence map›Paper›PMID 39704195›Full record

ArticleMolecular medicine reports2025

Diagnostic and predictive values of m5C‑associated genes in idiopathic pulmonary fibrosis.

Lan Tian, Wanting Song, Jiabao Wu, Yi Lan, Limin Chen

Abstract read
In one paragraph

Article in Molecular medicine reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. NSUN5 and RNA mFrontiers in cell and developmental biology · 2026
    Review
  5. Review
  6. Regulators of RNA mFrontiers in endocrinology · 2025
    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.

Lan Tian *Department of Pulmonary and Critical Care Medicine, Fujian Medical University Union Hospital, Fuzhou, Fujian 350001, P.R. China.
Wanting Song *Department of Pulmonary and Critical Care Medicine, Fujian Medical University Union Hospital, Fuzhou, Fujian 350001, P.R. China.
Jiabao WuDepartment of Pulmonary and Critical Care Medicine, Fujian Medical University Union Hospital, Fuzhou, Fujian 350001, P.R. China.
Yi LanDepartment of General Medicine, Nanping First Hospital Affiliated to Fujian Medical University, Nanping, Fujian 353000, P.R. China.
Limin ChenDepartment of Pulmonary and Critical Care Medicine, Fujian Medical University Union Hospital, Fuzhou, Fujian 350001, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In patients with idiopathic pulmonary fibrosis (IPF), the role of 5‑methylcytosine (m5C)‑associated genes in the pathogenesis and development of the disease remains unclear. The present study aimed to identify reliable diagnostic markers based on the expression of m5C‑associated genes for the early detection of IPF. Count data were obtained by screening the IPF genome‑wide assay in the Gene Expression Omnibus database, followed by a comparison of m5C gene expression in patients with IPF and controls. The GSE150910 and GSE173355 datasets yielded a total of 23 differentially expressed m5C‑associated genes, which were then investigated for their functions. A diagnostic model was built using eight m5C genes and validated with training sets and the GSE124685 dataset. IPF subtypes were identified based on expression of m5C‑related genes as well as clinical and immunological characteristics. Furthermore, a pulmonary fibrosis model was established in mice by administering bleomycin into the trachea. Lungs were harvested and analyzed using quantitative PCR to determine the expression of m5C‑related genes. The Kyoto Encyclopedia of Genes and Genomes enrichment analysis revealed that these genes were significantly enriched in 'base excision repair'. Immunoassay results revealed that 13 immune cell markers (naive, memory and B cell plasma, T cell CD4 naive, T cell CD4 memory resting, T cell follicular helper, T cell regulatory Tregs, NK cell resting, Monocyte, Macrophage M0, Mast cell activated, Eosinophil, and Neutrophil) were significantly associated with IPF. Patients with IPF had lower levels of resting memory CD4+ T cells, which were positively associated with Tet methylcytosine dioxygenase2 (TET2) and Thymine‑DNA glycosylase (TDG) but negatively correlated with NOP2/Sun RNA methyltransferase5 (NSUN5) expression. All samples were classified into based on the levels of the eight diagnostic m5C genes. Samples with high m5C scores are subtype 1, and those with low m5C scores are subtype 2. In subtype 2, male patients had lower levels of CD27 and CD70 but higher levels of CD274, CD86, Cytotoxic T‑lymphocyte‑associated protein4 and Hepatitis A virus cellular receptor2 (HAVCR2). When compared with normal mouse lung tissue samples, expression levels of NOP2/Sun RNA methyltransferase6 (NSUN6), Ubiquitin‑like with PHD and RING Finger Domains1, TDG and TET2 in lung fibrosis tissue samples were significantly higher, while expression levels of NSUN5, NTH‑like DNA glycosylase1, DNA (cytosine‑5‑)‑methyltransferase3 β and Methyl‑CpG binding domain protein 3) were lower. It is possible that m5C‑associated genes play an important role in the diagnosis and typing of IPF. These genes may facilitate investigation of the pathophysiology of IPF and identification of potential treatment targets.

Indexed as

5-MethylcytosineIdiopathic Pulmonary FibrosisAgedAnimalsBiomarkersDisease Models, AnimalFemaleGene Expression ProfilingGene Expression RegulationHumansLungMaleMiceMiddle AgedProto-Oncogene Proteins5-MethylcytosineBiomarkersProto-Oncogene Proteinsdiagnostic modelidiopathic pulmonary fibrosisimmune characteristicm5C methylationpredictive value

Identifiers

PMID39704195
PMCPMC11667211

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.