Circulating micro<scp>RNA</scp>s in autoimmune thyroid diseases

Yamada, Hiroya; Itoh, Mitsuyasu; Hayashi, Izumi; Hashimoto, Shuji

doi:10.1111/cen.12432

Cited by 84 publications

(76 citation statements)

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“…The present study indicates that miR-375 is important in immunologic disease and cancer progression, as previously reported (12,13,16). Furthermore, chemokine and ECM-receptor interactions influence the immune system.…”

Section: Ppi Network and Module Constructionsupporting

confidence: 88%

“…miR-375 is expressed at low levels in many types of solid tumor, such as esophageal carcinoma (4,5), and gastric (6), liver (7), colon (8) and pancreatic (9) cancers, and has been recorded to be associated with the development and progression of cancer. In addition, it was significant in other diseases, including diabetes (10,11), and autoimmune thyroid (12) and allergic (13) diseases. As miR-375 performs pivotal roles in the above-mentioned diseases and, to the best of our knowledge, there are no detailed studies regarding the regulatory role of its target genes, miRWalk was used in the present study to predict the target genes and further analyze the gene functions using gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways and protein-protein interaction (PPI) analysis.…”

Section: Introductionmentioning

confidence: 99%

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Analysis of the function of microRNA-375 in humans using bioinformatics

Chen

Luo

et al. 2017

Biomedical Reports

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Abstract. ) is expressed at low levels in many types of solid tumor, particularly in gastrointestinal tumors. It is considered to be important in the development of cancer and certain diseases. Thus, more detailed knowledge is required on the particular functions of miR-375. miRs function by regulating target genes. Therefore, in the current study, miRWalk (which includes the data from 10 prediction software programs) was used to predict the target genes of miR-375. The genes, which were co-predicted using five different software programs were further analyzed using Database for Annotation, Visualization and Integrated Discovery online software [including gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis]. Subsequently, the online tool, Search Tool for the Retrieval of Interacting Genes, was used to analyze the protein-protein interaction and construct modules using Cytoscape. The result demonstrated 6,574 predicted genes, 1,325 of which were co-predicted. The GO analysis result indicated that, in biological processes, the co-predicted genes were significantly enriched in the regulation of nervous system development and cell differentiation, and the highest enrichment of molecular function was ion binding. In KEGG analysis, the genes were enriched in the Hippo signaling pathway, glutamatergic synapse, circadian entrainment and the phosphoinositide 3-kinase (PI3K)-Akt signaling pathway. The top 10 hub proteins were mechanistic target of rapamycin, PH domain and leucine rich repeat protein phosphatase 1, ubiquitously transcribed tetratricopeptide repeat containing, Y-linked, histone deacetylase 2, F-box and leucine rich repeat protein 19, KIT proto-oncogene receptor tyrosine kinase, angiotensinogen, Janus kinase 2, fibroblast growth factor 2 and RNA polymerase II subunit A. These proteins predominantly regulate the development and progression of cancer, hypertension, essential thrombocythemia and inflammation. The genes in the top seven modules selected were identified to be primarily enriched in chemokines, extracellular matrix-receptor interaction, focal adhesion, the PI3K-Akt signaling pathway, amoebiasis and protein processing signaling pathway. Thus, the target genes and hub proteins that were predicted in the current study were identified to be important in regulating the development and progression of cancer and certain diseases. Furthermore, they present potential novel biomarkers for tumor diagnosis and candidate targets for treatment, and indicate that further research is required to establish the functions of miR-375.

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Section: Ppi Network and Module Constructionsupporting

confidence: 88%

Section: Introductionmentioning

confidence: 99%

Analysis of the function of microRNA-375 in humans using bioinformatics

Chen

Luo

et al. 2017

Biomedical Reports

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“…A follicularis pajzsmirigy-carcinomától (FTC) elkülö-nítő diagnózisban segíthet a miR-21-5p és a miR-181a-5p, ugyanis a miR-21-5p szignifikánsan inkább follicularis cacrcinomában, míg a miR-181a-5p szignifikánsan inkább PTC-ben volt felülexpresszálódva összehasonlító elemzéssel [27]. Autoimmun pajzsmirigybetegségek tekintetében azt lehet mondani (ahol a Basedow-Gravesés a Hashimoto-thyreoiditises betegek szérumát hasonlí-tották össze egészséges emberek szérumával), hogy az egészségesekhez viszonyítva a miR-22, a miR-375, illetve a miR-451 mindkét betegségben magasabb koncentrációban volt jelen, míg a miR-16 csupán a Graves-betegek szérumában [28].…”

Section: Táblázatunclassified

Keringő mikroRNS-ek az endokrin daganatok diagnosztikájában

et al. 2017

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A mikroRNS-ek (miRNS, miR) rövid -19-25 nukleotidból álló -érett formájukban egyszálú, nem kódoló RNSmolekulák, amelyek a génexpressziót főként poszttranszkripcionális szinten befolyásolják. A mikroRNS-ek szerepet játszanak élettani folyamatokban, például a sejtdifferenciálódás és -proliferáció szabályozásában, egyedfejlődésben, vérképzésben, sejthalálban, míg aberráns expressziójuk számos betegség, köztük autoimmun betegségek, gyulladá-sok, vascularis betegségek vagy daganatok kialakulása során megfigyelhető. A mikroRNS-ek szövetspecifikus módon fejeződnek ki. Szöveti megjelenésük mellett különböző testfolyadékokban is megtalálhatóak. Így például a vérben, az anyatejben, az ondóban, nyálban, vizeletben stb. A testfolyadékokban megjelenő mikroRNS-ek, így különösen a vér keringő mikroRNS-ei, a daganatok kórisméjében mint minimálisan invazív diagnosztikai eszközök jöhetnek szóba. Az endokrin daganatokra jellemző leírt keringő mikroRNS-kifejeződések száma eddig alacsony, főként a papillaris pajzsmirigy-carcinomára, mellékvesekéreg-carcinomára, petefészekrákra, illetve egyes neuroendokrin tumorokra szorítkozik. Tekintettel arra, hogy e daganatok egy részének szövettani diagnózisa, a malignitás megállapítása nehéz, a keringő mikroRNS-ek kutatásában jelentős távlatok rejlenek. Orv. Hetil., 2017, 158(13), 483-490.Kulcsszavak: mikroRNS, daganat-biomarker, pajzsmirigydaganat, mellékvesekéreg-carcinoma, petefészek-daganat Circulating microRNAs in the diagnostics of endocrine neoplasmsMicroRNAs (miRNA, miR) are short -19-25 nucleotide long -single stranded (in their mature form), non-coding RNA molecules that regulate gene expression mostly at the posttranscriptional level. microRNAs are involved in the regulation of various physiological processes such as cell differentiation and proliferation, development, haematopoesis, cell death, while their aberrant expression is observed in numerous diseases, like autoimmune disorders, inflammations, vascular diseases or tumorigenesis. microRNAs are expressed in a tissue specific fashion. Beyond their appearance in tissues, they can be found in body fluids as well. microRNAs are present in blood, mother milk, semen, saliva, urine, etc. MicroRNAs in body fluids, especially the blood-borne circulating microRNAs can be exploited as minimally invasive biomarkers of tumor diagnosis. The number of endocrine tumor-associated circulating microRNA alterations is relatively low, mostly described for papillary thyroid cancer, adrenocortical cancer, ovarian and neuroendocrine tumors. As the histological diagnosis including the establishment of malignancy of some of these neoplasms is difficult, studies on circulating microRNAs might have great perspectives.Keywords: microRNA, tumor biomarker, thyroid neoplasm, adrenocortical carcinoma, ovarian neoplasm Decmann, Á., Perge, P., Nagy, Z., Butz, H., Patócs, A., Igaz, P. [Circulating microRNAs in the diagnostics of endocrine neoplasms]. Orv. Hetil., 2017, 158(13), 483-490. (Beérkezett: 2017 elfogadva: 2017. február ÖSSZEFOGLALÓ KÖZLEMÉNYRövidí...

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“…This usually occurs via inhibition of mRNA translation or by ribosomal drop-off. miRNAs in circulation have been shown to be novel biomarkers in research and clinical fields for a variety of diseases, such as diabetes [5][6][7] , ovarian 8 , prostate 9 and breast cancer 10,11 , hepatitis B 12 and other autoimmune diseases 13 . Research has been conducted to identify abundant miRNAs in different cells or tissues, as well as in circulation from human plasma and serum samples, which is more accessible and less invasive 9,[11][12][13][14][15] .…”

Section: Introductionmentioning

confidence: 99%

“…miRNAs in circulation have been shown to be novel biomarkers in research and clinical fields for a variety of diseases, such as diabetes [5][6][7] , ovarian 8 , prostate 9 and breast cancer 10,11 , hepatitis B 12 and other autoimmune diseases 13 . Research has been conducted to identify abundant miRNAs in different cells or tissues, as well as in circulation from human plasma and serum samples, which is more accessible and less invasive 9,[11][12][13][14][15] . Different methods of miRNA quantification have been established using multiple platforms, such as the standard 96-well plate platform 4,12,[16][17][18] , the microfluidics card platform 12,[18][19][20][21][22][23] and the nanofluidics array platform 17,24 .…”

Section: Introductionmentioning

confidence: 99%

Probe-based Real-time PCR Approaches for Quantitative Measurement of microRNAs

Wong

Farr

Joglekar

et al. 2015

JoVE

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Probe-based quantitative PCR (qPCR) is a favoured method for measuring transcript abundance, since it is one of the most sensitive detection methods that provides an accurate and reproducible analysis. Probe-based chemistry offers the least background fluorescence as compared to other (dye-based) chemistries. Presently, there are several platforms available that use probe-based chemistry to quantitate transcript abundance. qPCR in a 96 well plate is the most routinely used method, however only a maximum of 96 samples or miRNAs can be tested in a single run. This is time-consuming and tedious if a large number of samples/miRNAs are to be analyzed. High-throughput probe-based platforms such as microfluidics (e.g. TaqMan Array Card) and nanofluidics arrays (e.g. OpenArray) offer ease to reproducibly and efficiently detect the abundance of multiple microRNAs in a large number of samples in a short time. Here, we demonstrate the experimental setup and protocol for miRNA quantitation from serum or plasma-EDTA samples, using probe-based chemistry and three different platforms (96 well plate, microfluidics and nanofluidics arrays) offering increasing levels of throughput.

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Circulating microRNAs in autoimmune thyroid diseases

Abstract: We revealed that different levels of serum miRNAs were associated with GD and HT, which may play a role in the pathogenesis of these diseases.

Cited by 84 publications

References 25 publications

Analysis of the function of microRNA-375 in humans using bioinformatics

Analysis of the function of microRNA-375 in humans using bioinformatics

Keringő mikroRNS-ek az endokrin daganatok diagnosztikájában

Probe-based Real-time PCR Approaches for Quantitative Measurement of microRNAs

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