Evidence map›Paper›PMID 30320339›Full record

ArticleMolecular medicine reports2018

Microarray analysis reveals long non‑coding RNA SOX2OT as a novel candidate regulator in diabetic nephropathy.

Xiaoxue Zhang, Jin Shang, Xiaoyang Wang, Genyang Cheng, Yumin Jiang, Dong Liu, Jing Xiao, Zhanzheng Zhao

Open access · hybridAbstract read
In one paragraph

Article in Molecular medicine reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.7field-weighted citation impact, top 35% 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

11 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Epigenetic modification in diabetic kidney disease.Frontiers in endocrinology · 2023
    Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. 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

8 authors at 1 institution in 1 country.

Xiaoxue Zhang *Department of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450052, P.R. China.
Jin Shang *Department of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450052, P.R. China.
Xiaoyang WangDepartment of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450052, P.R. China.
Genyang ChengDepartment of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450052, P.R. China.
Yumin JiangDepartment of Emergency, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450052, P.R. China.
Dong LiuDepartment of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450052, P.R. China.
Jing XiaoDepartment of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450052, P.R. China.
Zhanzheng ZhaoDepartment of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450052, P.R. China.
First Affiliated Hospital of Zhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetic nephropathy (DN) is a highly complex syndrome involving multiple dysregulated biological processes. Long non‑coding RNAs (lncRNAs) are now believed to have an important function in various diseases. However, their roles in DN remain largely unknown. Therefore, the present study was performed in order to investigate the lncRNAs that have a crucial role in DN. db/db mice were used as a DN model while db/m mice served as a control to search for lncRNAs which may have important roles in DN. Microarray and bioinformatics analysis gave an overview of the features of differentially expressed genes. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analysis demonstrated the typical biological alterations in DN. A co‑expression network of lncRNAs and mRNAs revealed the complex interaction pattern in DN conditions. Further data investigation indicated that SOX2‑overlapping transcript (SOX2OT), which was significantly downregulated in DN mice, may be the potentially functional lncRNA contributing to the onset of DN. The UCSC database demonstrated that SOX2OT was highly conserved in mice and humans. Additionally further study using cultured human podocytes and mesangial cells confirmed the downregulation of SOX2OT using reverse transcription‑quantitative polymerase chain reaction and fluorescence in situ hybridization. However, the cellular location of SOX2OT depended on certain cell types. Taken together, the results of the present study indicated that SOX2OT may act as an important regulator in the pathogenesis of DN by interacting with various mRNAs with critical roles in DN.

Indexed as

Gene Expression RegulationRNA InterferenceAnimalsComputational BiologyDiabetic NephropathiesDisease Models, AnimalGene Expression ProfilingGene OntologyGene Regulatory NetworksHumansIn Situ Hybridization, FluorescenceMaleMiceOligonucleotide Array Sequence AnalysisPodocytesReproducibility of Resultslong non-coding RNA Sox2ot, humanRNA, Long NoncodingRNA, Messengerbioinformatics analysisdiabetic nephropathymicroarray analysisSOX2-overlapping transcript

Identifiers

PMID30320339
PMCPMC6236268
OpenAlexW2894772994

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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.