Literature DB >> 30665334

Long non-coding RNAs MALAT1, MIAT and ANRIL gene expression profiles in beta-thalassemia patients: a cross-sectional analysis.

Abeer Fakhr-Eldeen1,2, Eman A Toraih3,4, Manal S Fawzy5,6.   

Abstract

OBJECTIVES: Beta-thalassemia (β-thal) is one of the most common genetic disorders worldwide. Multiple genetic and epigenetic mechanisms could be implicated in the pathogenesis and/or phenotype variations. We sought to explore the serum expression profile of three disease-related long non-coding RNAs (lncRNAs) in a sample of Egyptian β-thal patients with correlation to the patients' clinicolaboratory data.
METHODS: Fifty consecutive β-thal patients and 50 unrelated controls were enrolled in the study. Quantification of circulating lncRNAs; MALAT1 (metastasis-associated lung adenocarcinoma transcript 1), MIAT (myocardial infarction associated transcript), and ANRIL (antisense non-coding RNA in the INK4 locus) was done by Real-time qRT-PCR.
RESULTS: Significant higher expression levels of the studied lncRNAs in β-thal patients compared to the controls (all P values < 0.001) were identified. There was no significant difference between β-thal-major and intermedia patients at the level of any of the studied lncRNAs. Higher MALAT1 expression profile was associated with early age at onset, early age at first blood transfusion, and a higher frequency of splenomegaly. Whereas, up-regulated MIAT levels were associated with early age at first blood transfusion.
CONCLUSIONS: Taken together, the studied lncRNAs MALAT1, MIAT, and ANRIL might be implicated in β-thal pathogenesis and could provide new molecular biomarkers for β-thalassemia after validation in large-scale future studies.

Entities:  

Keywords:  ANRIL; LncRNAs; MALAT1; MIAT; qRT-PCRs; β-thalassemia

Mesh:

Substances:

Year:  2019        PMID: 30665334     DOI: 10.1080/16078454.2019.1570616

Source DB:  PubMed          Journal:  Hematology        ISSN: 1024-5332            Impact factor:   2.269


  4 in total

1.  Deciphering the role of circulating lncRNAs: RNCR2, NEAT2, CDKN2B-AS1, and PVT1 and the possible prediction of anti-VEGF treatment outcomes in diabetic retinopathy patients.

Authors:  Eman A Toraih; Ahmed A Abdelghany; Noha M Abd El Fadeal; Essam Al Ageeli; Manal S Fawzy
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2019-07-20       Impact factor: 3.117

Review 2.  Exploring the crosstalk between long non-coding RNAs and microRNAs to unravel potential prognostic and therapeutic biomarkers in β-thalassemia.

Authors:  Motiur Rahaman; Mandrita Mukherjee; Shatarupa Bhattacharya; Budhaditya Mukherjee; Praphulla Chandra Shukla; Tuphan Kanti Dolai; Nishant Chakravorty
Journal:  Mol Biol Rep       Date:  2022-06-18       Impact factor: 2.742

3.  Circulating long noncoding RNAs H19 and GAS5 are associated with type 2 diabetes but not with diabetic retinopathy: A preliminary study.

Authors:  Manal S Fawzy; Ahmed A Abdelghany; Eman A Toraih; Abeer M Mohamed
Journal:  Bosn J Basic Med Sci       Date:  2020-08-03       Impact factor: 3.363

4.  Long Non-Coding RNAs ANRIL and HOTAIR Upregulation is Associated with Survival in Neonates with Sepsis in a Neonatal Intensive Care Unit.

Authors:  Nouran B AbdAllah; Essam Al Ageeli; Abdullah Shbeer; Jawaher A Abdulhakim; Eman A Toraih; Doaa O Salman; Manal S Fawzy; Sanaa S Nassar
Journal:  Int J Gen Med       Date:  2022-07-20
  4 in total

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