Evidence map›Paper›PMID 36923073›Full record

ArticleAnnals of translational medicine2023

Methylation factors as biomarkers of fibromyalgia.

Chengyu Huang, Nan Zhang, Mengxin Wei, Qinchun Pan, Chunyan Cheng, Ke-Er Lu, Jianwen Mo, Yixuan Chen

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 28% of its field
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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. International journal of molecular medicine · 2026
    Review
  3. Review
  4. Article
  5. Review
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

8 authors at 5 institutions in 1 country.

Chengyu Huang *Department of Basic Science, Yuandong International Academy of Life Sciences, Hong Kong, China.
Nan Zhang *Department of Basic Science, Yuandong International Academy of Life Sciences, Hong Kong, China.
Mengxin Wei *Department of Basic Science, Yuandong International Academy of Life Sciences, Hong Kong, China.
Qinchun PanSchool of Medicine and Health, Guangxi Vocational and Technical Institute of Industry, Nanning, China.
Chunyan ChengCollege of Food and Drug Engineering, Guangxi Vocational University of Agriculture, Nanning, China.
Ke-Er LuCollege of Life Sciences, Tianjin Normal University, Tianjin, China.
Jianwen MoDepartment of Basic Science, Yuandong International Academy of Life Sciences, Hong Kong, China.
Yixuan ChenDepartment of Basic Science, Yuandong International Academy of Life Sciences, Hong Kong, China.
Hai Kang Life (China) · CNGuangxi Academy of Agricultural Science · CNGuangxi Research Institute of Chemical Industry · CNNanning Normal University · CNTianjin Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Fibromyalgia (FM) is a common and intractable chronic musculoskeletal pain syndrome, but its exact underlying mechanisms are unknown. This study sought to identify biomarkers of FM and the underlying molecular mechanisms of the disease. Methods: FM-related gene expression profiles (GSE67311) and methylation profiles (GSE85506) were obtained from the Gene Expression Omnibus database, and a differential expression analysis was performed to identify the methylation factors. Subsequently, an enrichment analysis and gene set enrichment analysis (GSEA) were conducted to examine the methylation factors. In addition, the transcriptional regulators of the methylation factors were predicted, and key methylation factors were identified by a receiver operating characteristic curve analysis and nomogram models. Finally, the relationship between FM and cell death (pyroptosis, necroptosis, and cuproptosis) was assessed by a GSEA and gene set variation analysis. Results: A total of 455 methylation factors were identified. The enrichment analysis and GSEA results showed that methylation factors were clearly involved in the biological functions and signaling pathways related to neural, immune inflammation, and pain responses. The transcriptional regulator specificity protein 1 (SP1) may have a broad regulatory role. Finally, seven key methylation factors were identified, of which amino beta (A4) precursor protein binding family B member 2 (APBB2), A-kinase anchor protein 12 (AKAP12), and cluster of differentiation 38 (CD38) had strong clinical diagnostic power. In addition, AKAP12 and CD38 were significantly and negatively associated with sepsis, necrotizing sepsis, and cupular sepsis. Conclusions: Our study suggests that FM is associated with deoxyribonucleic acid methylation. The methylation factors APBB2, AKAP12, and CD38 may be potential biomarkers and should be further examined to provide a new biological framework of the possible disease mechanisms underlying FM.

Indexed as

AKAP12CD38cell deathFibromyalgia (FM)immune

Identifiers

PMID36923073
PMCPMC10009573
OpenAlexW4321504559

What Socratic 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 Socratic graph.