Inferring miRNA sponge modules across major neuropsychiatric disorders

Balasubramanian, Rami; Vinod, P.

doi:10.3389/fnmol.2022.1009662

Cited by 3 publications

(1 citation statement)

References 83 publications

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“…Regarding PCA3 , it was extensively studied in cancer ( Lemos et al, 2019 ) and was found to be differentially expressed in the exosomes of cerebrospinal fluid of AD patients ( Gui et al, 2015 ). Finally, in a study focusing on the network of miRNA sponges for various neuropsychiatric disorders, including autism, HAR1A was identified as a candidate for this role in the autism spectrum disorder ( Balasubramanian and Vinod, 2022 ) and was also found to be downregulated in AD ( Li and De Muynck, 2021 ).…”

Section: Discussionmentioning

confidence: 99%

Identification of deregulated lncRNAs in Alzheimer’s disease: an integrated gene co-expression network analysis of hippocampus and fusiform gyrus RNA-seq datasets

Filomena,

Picardi,

Tullo

et al. 2024

Front. Aging Neurosci.

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IntroductionThe deregulation of lncRNAs expression has been associated with neuronal damage in Alzheimer’s disease (AD), but how or whether they can influence its onset is still unknown. We investigated 2 RNA-seq datasets consisting, respectively, of the hippocampal and fusiform gyrus transcriptomic profile of AD patients, matched with non-demented controls.MethodsWe performed a differential expression analysis, a gene correlation network analysis (WGCNA) and a pathway enrichment analysis of two RNA-seq datasets.ResultsWe found deregulated lncRNAs in common between hippocampus and fusiform gyrus and deregulated gene groups associated to functional pathways related to neurotransmission and memory consolidation. lncRNAs, co-expressed with known AD-related coding genes, were identified from the prioritized modules of both brain regions.DiscussionWe found common deregulated lncRNAs in the AD hippocampus and fusiform gyrus, that could be considered common signatures of AD pathogenesis, providing an important source of information for understanding the molecular changes of AD.

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Section: Discussionmentioning

confidence: 99%

Identification of deregulated lncRNAs in Alzheimer’s disease: an integrated gene co-expression network analysis of hippocampus and fusiform gyrus RNA-seq datasets

Filomena,

Picardi,

Tullo

et al. 2024

Front. Aging Neurosci.

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Current Translational Medicine Approach in Schizophrenia: MicroRNA Research

Gümüş,

Bağcı,

Boztepe

et al. 2024

Psikiyatride Güncel Yaklaşımlar

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Schizophrenia is a common and complex psychiatric disorder with symptoms that significantly affect public health. Candidate gene studies reported that variants in genes involved in molecular processes associated with schizophrenia such as glutamatergic, dopaminergic, and GABAergic signaling pathways increase the risk of schizophrenia. Yet, the data obtained so far are incomplete for the development of new translational medicine approaches. Although the current research has promising results, it is still insufficient for the development of early diagnosis and treatment methods for schizophrenia management. Recent studies have reported that microRNAs detected in brain tissue and body fluids are differentially expressed in schizophrenia patients and control groups may be related to the etiology of schizophrenia. Although the determination of microRNA profiles associated with schizophrenia pathophysiology is very important for the development of new molecular approaches in the early diagnosis and treatment of the disease, the literature is still lacking in this field. Studies reporting schizophrenia-associated microRNAs in the existing literature have some limitations and methodological differences. In this review, we extracted the studies investigating the relationship between schizophrenia and microRNA in the last ten years and it was revealed that sample selection and microRNA detection methods are very important in terms of obtaining consistent results. Non-invasive detection of microRNAs expressed in the brain may have promising results for schizophrenia management. In this context, after a comprehensive literature search, miR-124-3p, miR-16-5p, and miR-34a-5p, which are differentially expressed in schizophrenia patients in the brain and blood, were prioritized as potential epigenetic biomarkers for schizophrenia. Our study provides data that can be utilized for translational medicine approaches to alleviate the burden of the disease in the community.

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Long Noncoding RNAs in the Pathogenesis of Insulin Resistance

Yang

Lyu

Xiang

et al. 2022

IJMS

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Insulin resistance (IR), designated as the blunted response of insulin target tissues to physiological level of insulin, plays crucial roles in the development and progression of diabetes, nonalcoholic fatty liver disease (NAFLD) and other diseases. So far, the distinct mechanism(s) of IR still needs further exploration. Long non-coding RNA (lncRNA) is a class of non-protein coding RNA molecules with a length greater than 200 nucleotides. LncRNAs are widely involved in many biological processes including cell differentiation, proliferation, apoptosis and metabolism. More recently, there has been increasing evidence that lncRNAs participated in the pathogenesis of IR, and the dysregulated lncRNA profile played important roles in the pathogenesis of metabolic diseases including obesity, diabetes and NAFLD. For example, the lncRNAs MEG3, H19, MALAT1, GAS5, lncSHGL and several other lncRNAs have been shown to regulate insulin signaling and glucose/lipid metabolism in various tissues. In this review, we briefly introduced the general features of lncRNA and the methods for lncRNA research, and then summarized and discussed the recent advances on the roles and mechanisms of lncRNAs in IR, particularly focused on liver, skeletal muscle and adipose tissues.

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Inferring miRNA sponge modules across major neuropsychiatric disorders

Cited by 3 publications

References 83 publications

Identification of deregulated lncRNAs in Alzheimer’s disease: an integrated gene co-expression network analysis of hippocampus and fusiform gyrus RNA-seq datasets

Identification of deregulated lncRNAs in Alzheimer’s disease: an integrated gene co-expression network analysis of hippocampus and fusiform gyrus RNA-seq datasets

Current Translational Medicine Approach in Schizophrenia: MicroRNA Research

Long Noncoding RNAs in the Pathogenesis of Insulin Resistance

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