Human microRNA-153-3p targets specific neuronal genes and is associated with the risk of Alzheimer's disease.
Wang, R.; Maloney, B.; Nho, K.; Beck, J.; Counts, S. E.; Lahiri, D. K.
Show abstract
Alzheimers disease (AD) is a progressive degenerative disease characterized by a significant loss of neurons and synapses in cognitive brain regions and is the leading cause of dementia worldwide. AD pathology comprises extracellular amyloid plaques and intracellular neurofibrillary tangles. However, the triggers of this pathology are still poorly understood. Repressor element 1-silencing transcription/neuron-restrictive silencer factor (REST/NRSF), a transcription repressor of neuronal genes, is dysregulated during AD pathogenesis. How REST is dysregulated is still poorly understood, especially at the post-transcriptional level. MicroRNAs (miRNAs), a group of short non-coding RNAs, typically regulate protein expression by interacting with target mRNA transcript 3-untranslated region (UTR) and play essential roles in AD pathogenesis. Herein, we demonstrate that miR-153-3p reduces REST 3-UTR activities, mRNA, and protein levels in human cell lines, along with downregulating amyloid-{beta} precursor protein (APP) and -synuclein (SNCA). We determine by mutational analyses that miR-153-3p interacts with specific targets via the seed sequence present within the respective mRNA 3UTR. We show that miR-153-3p treatment alters the expression of these specific proteins in human neuronally differentiated cell lines and human induced pluripotent stem cells and that miR-153-3p is itself dysregulated in AD. We further find that single nucleotide polymorphisms (SNPs) within 5kb of the MIR153-1 and MIR153-2 genes are associated with AD-related endophenotypes. Elevation of miR-153-3p is associated with a reduced probability of AD, while elevated REST may associate with a greater probability of AD. Our work suggests that a supplement of miR-153-3p would reduce levels of toxic protein aggregates by reduced expression of APP, SNCA and REST expression, all pointing towards a therapeutic and biomarker potential of miR-153-3p in AD and related dementias.
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Frontotemporal dementia patient-derived iPSC neurons show cell pathological hallmarks and evidence for synaptic dysfunction and DNA damage 95%
- Integrative Brain Transcriptome Analysis Links Complement Component 4 and HSPA2 to the APOE ε2 Protective Effect in Alzheimer Disease 95%
- Alzheimer's genetic risk factor FERMT2 (Kindlin-2) controls axonal growth and synaptic plasticity in an APP-dependent manner. 94%
Similar papers in this journal
- Queuine, a bacterial derived hypermodified nucleobase, shows protection in in vitro models of neurodegeneration 95%
- Analysis of modular gene co-expression networks reveals molecular pathways underlying Alzheimer’s disease and progressive supranuclear palsy 95%
- Shared and distinct microRNA profiles between HT22, N2A and SH-SY5Y cell lines and primary mouse hippocampal neurons 95%
Similar papers in this journal
- Live cell imaging of single neurotrophin receptor molecules on human neuron in Alzheimer's disease 94%
- Different RNA profiles in plasma derived small and large extracellular vesicles of Neurodegenerative diseases patients. 94%
- InCytokine, an open-source software, reveals a TREM2 variant specific cytokine signature 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.