The analysis of miRNA expression profiling datasets reveals inverse microRNA patterns in glioblastoma and Alzheimer's disease

被引:81
|
作者
Candido, Saverio [1 ,2 ]
Lupo, Gabriella [1 ,2 ]
Pennisi, Manuela [1 ]
Basile, Maria S. [1 ]
Anfuso, Carmelina D. [1 ,2 ]
Petralia, Maria C. [1 ]
Gattuso, Giuseppe [1 ]
Vivarelli, Silvia [1 ]
Spandidos, Demetrios A. [3 ]
Libra, Massimo [1 ,2 ]
Falzone, Luca [1 ]
机构
[1] Univ Catania, Dept Biomed & Biotechnol Sci, Via Santa Sofia 97, I-95123 Catania, Italy
[2] Univ Catania, Res Ctr Prevent Diag & Treatment Canc, I-95123 Catania, Italy
[3] Univ Crete, Sch Med, Lab Clin Virol, Iraklion 71003, Greece
关键词
microRNA; glioblastoma; Alzheimer's disease; biomarker; diagnosis; prognosis; therapy; TRANSCRANIAL MAGNETIC STIMULATION; SLEEP-APNEA SYNDROME; CORTICAL EXCITABILITY; OCCUPATIONAL-EXPOSURE; CANCER; MECHANISMS; MIR-29C; OVEREXPRESSION; PROLIFERATION; NEUROTOXICITY;
D O I
10.3892/or.2019.7215
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
There is recent evidence to indicate the existence of an inverse association between the incidence of neurological disorders and cancer development. Concurrently, the transcriptional pathways responsible for the onset of glioblastoma multiforme (GBM) and Alzheimer's disease (AD) have been found to be mutually exclusive between the two pathologies. Despite advancements being made concerning the knowledge of the molecular mechanisms responsible for the development of GBM and AD, little is known about the identity of the microRNA (miRNAs or miRs) involved in the development and progression of these two pathologies and their possible inverse expression patterns. On these bases, the aim of the present study was to identify a set of miRNAs significantly de-regulated in both GBM and AD, and hence to determine whether the identified miRNAs exhibit an inverse association within the two pathologies. For this purpose, miRNA expression profiling datasets derived from the Gene Expression Omnibus (GEO) DataSets and relative to GBM and AD were used. Once the miRNAs significantly de-regulated in both pathologies were identified, DIANA-mirPath pathway prediction and STRING Gene Ontology enrichment analyses were performed to establish their functional roles in each of the pathologies. The results allowed the identification of a set of miRNAs found de-regulated in both GBM and AD, whose expression levels were inversely associated in the two pathologies. In particular, a strong negative association was observed between the expression levels of miRNAs in GBM compared to AD, suggesting that although the molecular pathways behind the development of these two pathologies are the same, they appear to be inversely regulated by miRNAs. Despite the identification of this set of miRNAs which may be used for diagnostic, prognostic and therapeutic purposes, further functional in vitro and in vivo evaluations are warranted in order to validate the diagnostic and therapeutic potential of the identified miRNAs, as well as their involvement in the development of GBM and AD.
引用
收藏
页码:911 / 922
页数:12
相关论文
共 50 条
  • [21] Genome-Wide Serum microRNA Expression Profiling Identifies Serum Biomarkers for Alzheimer's Disease
    Tan, Lin
    Yu, Jin-Tai
    Tan, Meng-Shan
    Liu, Qiu-Yan
    Wang, Hui-Fu
    Zhang, Wei
    Jiang, Teng
    Tan, Lan
    JOURNAL OF ALZHEIMERS DISEASE, 2014, 40 (04) : 1017 - 1027
  • [22] CSF microRNA Profiling in Alzheimer’s Disease: a Screening and Validation Study
    Adrià Dangla-Valls
    José Luis Molinuevo
    Jordi Altirriba
    Raquel Sánchez-Valle
    Daniel Alcolea
    Juan Fortea
    Lorena Rami
    Mircea Balasa
    Cristina Muñoz-García
    Mario Ezquerra
    Rubén Fernández-Santiago
    Alberto Lleó
    Albert Lladó
    Anna Antonell
    Molecular Neurobiology, 2017, 54 : 6647 - 6654
  • [23] CSF microRNA Profiling in Alzheimer's Disease: a Screening and Validation Study
    Dangla-Valls, Adria
    Molinuevo, Jose Luis
    Altirriba, Jordi
    Sanchez-Valle, Raquel
    Alcolea, Daniel
    Fortea, Juan
    Rami, Lorena
    Balasa, Mircea
    Munoz-Garcia, Cristina
    Ezquerra, Mario
    Fernandez-Santiago, Ruben
    Lleo, Alberto
    Llado, Albert
    Antonell, Anna
    MOLECULAR NEUROBIOLOGY, 2017, 54 (09) : 6647 - 6654
  • [24] Transcriptomics profiling of Parkinson's disease progression subtypes reveals distinctive patterns of gene expression
    Fabrizio, Carlo
    Termine, Andrea
    Caltagirone, Carlo
    JOURNAL OF CENTRAL NERVOUS SYSTEM DISEASE, 2025, 17
  • [25] MicroRNA-Sequence Profiling Reveals Novel Osmoregulatory MicroRNA Expression Patterns in Catadromous Eel Anguilla marmorata
    Wang, Xiaolu
    Yin, Danqing
    Li, Peng
    Yin, Shaowu
    Wang, Li
    Jia, Yihe
    Shu, Xinhua
    PLOS ONE, 2015, 10 (08):
  • [26] Analysis of microRNA and Gene Expression Profiles in Alzheimer's Disease: A Meta-Analysis Approach
    Moradifard, Shirin
    Hoseinbeyki, Moslem
    Ganji, Shahla Mohammad
    Minuchehr, Zarrin
    SCIENTIFIC REPORTS, 2018, 8
  • [27] Analysis of microRNA and Gene Expression Profiles in Alzheimer’s Disease: A Meta-Analysis Approach
    Shirin Moradifard
    Moslem Hoseinbeyki
    Shahla Mohammad Ganji
    Zarrin Minuchehr
    Scientific Reports, 8
  • [28] Transcriptomic analysis reveals sex-specific patterns in the hippocampus in Alzheimer's disease
    Onisiforou, Anna
    Christodoulou, Christiana C.
    Zamba-Papanicolaou, Eleni
    Zanos, Panos
    Georgiou, Polymnia
    FRONTIERS IN ENDOCRINOLOGY, 2024, 15
  • [29] Communicability distance reveals hidden patterns of Alzheimer's disease
    Lella, Eufemia
    Estrada, Ernesto
    NETWORK NEUROSCIENCE, 2020, 4 (04) : 1007 - 1029
  • [30] MicroRNA expression data analysis to identify key miRNAs associated with Alzheimer's disease
    Chen, Jing
    Qi, Yan
    Liu, Cui-Fang
    Lu, Jing-Min
    Shi, Jing
    Shi, Yan
    JOURNAL OF GENE MEDICINE, 2018, 20 (06):