Evidence map›Paper›PMID 33125100›Full record

ArticleInternational journal of molecular medicine2020

Long non‑coding RNA expression profiles identify lncRNA‑XLOC_I2_006631 as a potential novel blood biomarker for Hashimoto's thyroiditis.

Huiyong Peng, Si Xiong, Xiangmei Ding, Xinyi Tang, Xuehua Wang, Li Wang, Yingzhao Liu

Open access · hybridAbstract read
In one paragraph

Article in International journal of molecular medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 52% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  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

7 authors at 4 institutions in 2 countries.

Huiyong PengDepartment of Laboratory Medicine, The Affiliated People's Hospital of Jiangsu University, Zhenjiang Medical School of Nanjing Medical University, Zhenjiang, Jiangsu 212002, P.R. China.
Si XiongDepartment of Endocrinology, The Fifth People's Hospital of Wuhan, Wuhan, Hubei 430050, P.R. China.
Xiangmei DingDepartment of Endocrinology, The Affiliated People's Hospital of Jiangsu University, Zhenjiang Medical School of Nanjing Medical University, Zhenjiang, Jiangsu 212002, P.R. China.
Xinyi TangDivision of Hematology and Internal Medicine, Mayo Clinic, Rochester, MN 55902, USA.
Xuehua WangDepartment of Endocrinology, The Affiliated People's Hospital of Jiangsu University, Zhenjiang Medical School of Nanjing Medical University, Zhenjiang, Jiangsu 212002, P.R. China.
Li WangDepartment of Endocrinology, The Affiliated People's Hospital of Jiangsu University, Zhenjiang Medical School of Nanjing Medical University, Zhenjiang, Jiangsu 212002, P.R. China.
Yingzhao LiuDepartment of Endocrinology, The Affiliated People's Hospital of Jiangsu University, Zhenjiang Medical School of Nanjing Medical University, Zhenjiang, Jiangsu 212002, P.R. China.
Jiangsu University · CNNanjing Medical University · CNFifth Hospital In Wuhan · CNMayo Clinic in Arizona · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long non‑coding RNAs (lncRNAs) have been increasingly recognized as important immune checkpoints involved in the pathogenesis of autoimmune diseases. However, the exact role of lncRNAs in Hashimoto's thyroiditis (HT) has been rarely studied. The aim of the present study was to investigate the role of lncRNAs and the potential biomarkers in HT, a total of 33 patients with HT and 32 healthy volunteers were enrolled in the present study, and five patients and five healthy controls were investigated using next generation sequencing. A total of 218 dysregulated lncRNAs, including 94 upregulated and 124 downregulated lncRNAs, were identified and examined in the peripheral blood mononuclear cells (PBMCs) from patients with HT. The majority of the lncRNAs were intergenic and exonic (66.06%). Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analysis demonstrated that abnormally expressed lncRNAs were enriched in the 'NF‑kB expression', in the 'TGF‑β signaling pathway' and in the 'JAK‑STAT signaling pathway', which are associated with the immunopathogenic mechanisms of HT. In total, three lncRNAs (LOC729737, XLOC_I2_006631 and BC041964) were validated and had a trend identical to that detected by the sequencing results. The expression of lncRNA‑XLOC_I2_006631 was upregulated and was positively correlated with the serum concentrations of anti‑thyroperoxidase antibody in patients with HT. Methyl‑CpG‑binding protein 2 (MECP2) was identified as the potential regulatory gene of lncRNA‑XLOC_I2_006631 using a prediction program. The expression of MECP2 was increased and was positively correlated with the elevated expression levels of lncRNA‑XLOC_I2_006631 and anti‑thyroperoxidase antibody in patients with HT. Furthermore, lncRNA‑XLOC_I2_006631 was able to regulate MECP2 expression in vitro. Receiver operating characteristic curve analysis suggested that lncRNA‑XLOC_I2_006631 has a potential diagnostic value. Collectively, the present results indicated the important role of dysregulated lncRNAs in HT and demonstrated that lncRNA‑XLOC_I2_006631 functioned as a positive regulator of MECP2 expression, suggesting a potential mechanism. Thus, lncRNA‑XLOC_I2_006631 may be used as a biomarker of HT.

Indexed as

Gene Expression ProfilingAdultBiomarkersFemaleGene Expression RegulationGene OntologyHashimoto DiseaseHumansMaleMethyl-CpG-Binding Protein 2Reproducibility of ResultsRNA, Long NoncodingROC CurveSeverity of Illness IndexThyroiditisTranscription, GeneticBiomarkersMethyl-CpG-Binding Protein 2RNA, Long Noncoding

Identifiers

PMID33125100
PMCPMC7595668
OpenAlexW3092926729

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.