Evidence map›Paper›PMID 35795532›Full record

ArticleJournal of immunology research2022

Immune Infiltration of Ulcerative Colitis and Detection of the m6A Subtype.

Chenzheng Gu, Junlu Wu, Wei Zhang, Yiwen Yao, Wenhui Yan, Yi Yuan, Weiwei Wang, Anquan Shang

Open access · goldAbstract read
In one paragraph

Article in Journal of immunology research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

14 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. mCellular and molecular life sciences : CMLS · 2025
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Identification and validation of mBMC oral health · 2023
    Article
  12. Article
  13. Article
  14. 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

8 authors at 4 institutions in 2 countries.

Chenzheng GuDepartment of Laboratory Medicine, Shanghai Tongji Hospital, School of Medicine, Tongji University, Shanghai 200065, China.ORCID https://orcid.org/0000-0003-3098-9027
Junlu WuDepartment of Laboratory Medicine, Shanghai Tongji Hospital, School of Medicine, Tongji University, Shanghai 200065, China.ORCID https://orcid.org/0000-0002-6537-6936
Wei ZhangDepartment of Laboratory Medicine, Shanghai Tongji Hospital, School of Medicine, Tongji University, Shanghai 200065, China.ORCID https://orcid.org/0000-0001-6008-1111
Yiwen YaoDepartment of Internal Medicine V-Pulmonology, Allergology, and Respiratory Intensive Care Medicine, Saarland University Hospital, Homburg 66424, Germany.ORCID https://orcid.org/0000-0002-0375-388X
Wenhui YanDepartment of Laboratory Medicine, Yangzhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), Tongji University School of Medicine, No. 2209 Guangxing Rd., Shanghai 201619, China.ORCID https://orcid.org/0000-0002-2508-5616
Yi YuanDepartment of Laboratory Medicine, Shanghai Tongji Hospital, School of Medicine, Tongji University, Shanghai 200065, China.ORCID https://orcid.org/0000-0002-2205-7492
Weiwei WangDepartment of Pathology, Tinghu People's Hospital of Yancheng City, Yancheng 224005, China.ORCID https://orcid.org/0000-0002-3366-7886
Anquan ShangDepartment of Laboratory Medicine, Shanghai Tongji Hospital, School of Medicine, Tongji University, Shanghai 200065, China.ORCID https://orcid.org/0000-0003-2820-1982
Tongji University · CNSaarland University · DEShanghai Sunshine Rehabilitation Center · CNYancheng Third People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ulcerative colitis (UC) is an inflammatory bowel disease characterized by persistent colon inflammation. N6-methyladenosine (m6A) methylation is one of the most prevalent RNA modifications with key roles in both normal and illness, but m6A methylation in ulcerative colitis is unknown. This research investigated m6A methylation in UC. We examined the expression of known m6A RNA methylation regulators in UC using the Gene Expression Omnibus database (GEO database). First, we used m6A regulators to examine m6A change in UC samples. These two patient groups were created by clustering three m6A gene expression datasets. These genes were then utilized to build an m6A gene network using WGCNA and PPI. These networks were built using differentially expressed genes. The 12 m6A regulators were found to be dispersed throughout the chromosome. The study's data were then connected, revealing positive or negative relationships between genes or signaling pathways. Then, PCA of the 12 m6A-regulated genes indicated that the two patient groups could be discriminated in both PC1 and PC2 dimensions. The ssGSEA algorithm found that immune invading cells could be easily distinguished across diverse patient groups. Both groups had varied levels of popular cytokines. The differential gene analysis of the two samples yielded 517 genes like FTO and RFX7. It found 9 hub genes among 121 genes in the blue module, compared their expression in two groups of samples, and found that the differences in expression of these 9 genes were highly significant. The identification of 9 possible m6A methylation-dependent gene regulatory networks suggests that m6A methylation is involved in UC pathogenesis. Nine candidate genes have been identified as possible markers for assessing UC severity and developing innovative UC targeted therapeutic approaches.

Indexed as

Colitis, UlcerativeAdenosineAlpha-Ketoglutarate-Dependent Dioxygenase FTOHumansRNAAdenosineAlpha-Ketoglutarate-Dependent Dioxygenase FTOFTO protein, humanN-methyladenosineRNA

Identifiers

PMID35795532
PMCPMC9252851
OpenAlexW4283529159

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.