Evidence map›Paper›PMID 36765416›Full record

ArticleHuman genomics2023

Integrated analysis of RNA methylation regulators crosstalk and immune infiltration for predictive and personalized therapy of diabetic nephropathy.

Jia Li, Dongwei Liu, Jingjing Ren, Guangpu Li, Zihao Zhao, Huanhuan Zhao, Qianqian Yan, Jiayu Duan, Zhangsuo Liu

Open access · goldAbstract read
In one paragraph

Article in Human genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

7 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Observational
  3. Decoding mJournal of translational medicine · 2025
    Review
  4. Role of mZhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2024
    Review
  5. Review
  6. Review
  7. 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

9 authors at 3 institutions in 1 country.

Jia LiResearch Institute of Nephrology, Zhengzhou University, Zhengzhou, 450052, People's Republic of China.
Dongwei LiuResearch Institute of Nephrology, Zhengzhou University, Zhengzhou, 450052, People's Republic of China.
Jingjing RenResearch Institute of Nephrology, Zhengzhou University, Zhengzhou, 450052, People's Republic of China.
Guangpu LiResearch Institute of Nephrology, Zhengzhou University, Zhengzhou, 450052, People's Republic of China.
Zihao ZhaoResearch Institute of Nephrology, Zhengzhou University, Zhengzhou, 450052, People's Republic of China.
Huanhuan ZhaoResearch Institute of Nephrology, Zhengzhou University, Zhengzhou, 450052, People's Republic of China.
Qianqian YanResearch Institute of Nephrology, Zhengzhou University, Zhengzhou, 450052, People's Republic of China.
Jiayu DuanResearch Institute of Nephrology, Zhengzhou University, Zhengzhou, 450052, People's Republic of China. jyduan@hotmail.com.
Zhangsuo LiuResearch Institute of Nephrology, Zhengzhou University, Zhengzhou, 450052, People's Republic of China. zhangsuoliu@zzu.edu.cn.
Zhengzhou University · CNHenan Provincial Center for Disease Control and Prevention · CNFirst Affiliated Hospital of Zhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRNA methylation is a widely known post-transcriptional regulation which exists in many cancer and immune system diseases. However, the potential role and crosstalk of five types RNA methylation regulators in diabetic nephropathy (DN) and immune microenvironment remain unclear.

methodsThe mRNA expression of 37 RNA modification regulators and RNA modification regulators related genes were identified in 112 samples from 5 Gene Expression Omnibus datasets. Nonnegative Matrix Factorization clustering method was performed to determine RNA modification patterns. The ssGSEA algorithms and the expression of human leukocyte antigen were employed to assess the immune microenvironment characteristics. Risk model based on differentially expression genes responsible for the modification regulators was constructed to evaluate its predictive capability in DN patients. Furthermore, the results were validated by using immunofluorescence co-localizations and protein experiments in vitro.

resultsWe found 24 RNA methylation regulators were significant differently expressed in glomeruli in DN group compared with control group. Four methylation-related genes and six RNA regulators were introduced into riskScore model using univariate Logistic regression and integrated LASSO regression, which could precisely distinguish the DN and healthy individuals. Group with high-risk score was associated with high immune infiltration. Three distinct RNA modification patterns were identified, which has significant differences in immune microenvironment, biological pathway and eGFR. Validation analyses showed the METTL3, ADAR1, DNMT1 were upregulated whereas YTHDC1 was downregulated in DN podocyte cell lines comparing with cells cultured by the normal glucose.

conclusionOur study reveals that RNA methylation regulators and immune infiltration regulation play critical roles in the pathogenesis of DN. The bioinformatic analyses combine with verification in vitro could provide robust evidence for identification of predictive RNA methylation regulators in DN.

Indexed as

Diabetes MellitusDiabetic NephropathiesAlgorithmsCell LineHumansMethylationMethyltransferasesRNAMethyltransferasesMETTL3 protein, humanRNADiabetic nephropathyEpigeneticsImmune profilesImmunotherapyRNA methylation

Identifiers

PMID36765416
PMCPMC9912588
OpenAlexW4319984953

What OpenQuestion holds

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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 OpenQuestion graph.