ReviewCurrent Alzheimer research2026
miRNAs: Promising Biomarkers for Alzheimer's Diagnosis and Treatment.
Review in Current Alzheimer research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Peripheral and Central miRNA Signatures in Alzheimer's Disease: Tissue-Specific Variability, Sex-Associated Differences, and Implications for Blood-Based Biomarkers.International journal of molecular sciences · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by amyloid-beta (Aβ) plaque deposition, neurofibrillary tangles of hyperphosphorylated tau protein, and chronic neuroinflammation, leading to synaptic dysfunction and cognitive decline. Current diagnostic methods rely on clinical symptoms and limited biomarkers, while available treatments only provide symptomatic relief without halting disease progression. MicroRNAs (miRNAs), small non-coding RNAs of 19-22 nucleotides, have emerged as crucial regulators of gene expression through post-transcriptional mechanisms and show distinct dysregulation patterns in AD patients' blood, cerebrospinal fluid (CSF), and brain tissues. Key miRNAs such as miR-132, miR-146a, miR-34a, and miR-125b demonstrate consistent alterations in expression levels, correlating with disease progression and offering potential as non-invasive diagnostic tools. This review comprehensively examines the dual role of miRNAs as diagnostic biomarkers and therapeutic targets for AD. We also provide an analysis of specific miRNA signatures in different biofluids (plasma, serum, CSF) and brain regions that correlate with disease stages, highlighting their potential for early and non-invasive diagnosis. Therapeutically, miRNAs modulate multiple AD-related pathways, including neuroinflammation via NF-κB signaling, Aβ production through BACE1 inhibition, and tau phosphorylation via GSK3β regulation. miRNAs also influence synaptic plasticity, mitochondrial function, and autophagy, presenting multifaceted opportunities for intervention. However, challenges, including miRNA heterogeneity, stability, and targeted delivery, remain critical impediments. Advances in nanocarriers, exosomal miRNAs, and viral vectors show promise in overcoming these obstacles, enabling precise miRNA modulation. In addition, we underscore the need for standardized protocols, further validation in clinical cohorts, and the development of cost-effective detection methods to translate miRNA-based approaches into practical diagnostics and therapies. By integrating miRNA biomarkers with existing diagnostic tools and exploring combinatorial therapeutic strategies, researchers can harness the potential of miRNAs to revolutionize AD intervention, paving the way for early detection and effective treatment of this devastating disease.
Indexed as
Identifiers
41486993What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.