Evidence map›Paper›PMID 36157216›Full record

ArticleDisease markers2022

Analysis of N6-Methyladenosine RNA Methylation Regulators in Diagnosis and Distinct Molecular Subtypes of Ankylosing Spondylitis.

Cheng Zhong, Jia-Hua Liang, Zhen Chen, Li-Ping Zhong, Guo-Dong Sun, Wei-Xing Xie, Dong-Ping Wang, Wen-de Zhuang, Hao-Hua Guo, Da-Xiang Jin and 1 more

Abstract read
In one paragraph

Article in Disease markers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

11 authors.

Cheng ZhongDepartment of Orthopedics, The First Clinical Medical College of Guangzhou University of Chinese Medicine, Guangzhou, China.ORCID https://orcid.org/0000-0002-1211-8968
Jia-Hua LiangDepartment of Pancreato-Biliary Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.ORCID https://orcid.org/0000-0002-6375-7444
Zhen ChenDepartment of Orthopedics, The First Dongguan Affiliated Hospital of Guangdong Medical University, Dongguan, China.ORCID https://orcid.org/0000-0001-6391-0077
Li-Ping ZhongDepartment of Orthopedics, Jiangmen Hospital of Traditional Chinese Medicine Affiliated to Jinan University, Jiangmen, China.ORCID https://orcid.org/0000-0003-4466-8814
Guo-Dong SunDepartment of Orthopedics, The First Affiliated Hospital of Jinan University, Guangzhou, China.ORCID https://orcid.org/0000-0001-5336-368X
Wei-Xing XieDepartment of Orthopedics, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.ORCID https://orcid.org/0000-0002-4725-4628
Dong-Ping WangDepartment of Orthopedics, The First Clinical Medical College of Guangzhou University of Chinese Medicine, Guangzhou, China.ORCID https://orcid.org/0000-0003-4313-8184
Wen-de ZhuangDepartment of Orthopedics, The First Clinical Medical College of Guangzhou University of Chinese Medicine, Guangzhou, China.ORCID https://orcid.org/0000-0002-4582-8229
Hao-Hua GuoDepartment of Orthopedics, The First Clinical Medical College of Guangzhou University of Chinese Medicine, Guangzhou, China.ORCID https://orcid.org/0000-0003-4612-6103
Da-Xiang JinDepartment of Orthopedics, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.ORCID https://orcid.org/0000-0001-6862-6382
Yu-Ming LiDepartment of Orthopedics, Jiangmen Hospital of Traditional Chinese Medicine Affiliated to Jinan University, Jiangmen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The most frequent internal modification in eukaryotic mRNA is N6-methyladenosine (m6A). However, what we know about the m6A regulators in Ankylosing spondylitis (AS) is still limited. In our study, eight distinct m6A regulators were selected utilizing Differentially Expressed Gene (DEG) analysis of the Gene Expression Omnibus GSE73754 dataset for making comparisons between AS (Ankylosing spondylitis) and non-AS patients. The random forest model and the nomogram model were used to screen the eight candidate m6A regulators and evaluate their prediction accuracy for the occurrence of AS. Furthermore, based on the selected m6A regulators, the AS patients were divided into two subgroups, and we applied principal component analysis algorithms to calculate their m6A score and evaluate the m6A patterns. Our findings revealed that patients in cluster A were linked to activated CD4 T cell immunity and activated CD8 T cell immunity. With its major contributions in the area of immunology, our research in m6A patterns may benefit the future diagnosis and treatment strategies of AS.

Indexed as

Spondylitis, AnkylosingAdenosineHumansMethylationRNA, MessengerAdenosineN-methyladenosineRNA, Messenger

Identifiers

PMID36157216
PMCPMC9507730

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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 OpenQuestion graph.