From Analysis:
RNA binding protein dysregulation across ALS FTD and AD
RNA binding protein dysregulation across ALS FTD and AD
These hypotheses emerged from the same multi-agent debate that produced this hypothesis.
Molecular Mechanism and Rationale
The axonal RNA transport reconstitution hypothesis centers on the critical role of heterogeneous nuclear ribonucleoprotein A2/B1 (HNRNPA2B1) in facilitating kinesin-mediated transport of RNA granules along microtubules in neuronal axons. HNRNPA2B1 functions as a key RNA-binding protein that recognizes specific trafficking signals, particularly the A2 response element (A2RE) sequences found in mRNAs destined for axonal and synaptic localization. Under physiological conditions, HNRNPA2B1 forms ribonucleoprotein (RNP) complexes by binding to target mRNAs including those encoding MAP2, CaMKIIα, Arc, and β-actin, which are essential for synaptic plasticity and neuronal function.
Curated pathway diagram from expert analysis
graph TD
A["A2RE Sequences"] -->|"recognition"| B["HNRNPA2B1 RRM Domains"]
B -->|"binds"| C["mRNA Targets (MAP2, CaMKII-alpha, Arc, beta-actin)"]
C -->|"forms"| D["Ribonucleoprotein Complexes"]
D -->|"recruits"| E["Kinesin Motor Proteins"]
E -->|"associates with"| F["Microtubule Tracks"]
F -->|"enables"| G["Axonal RNA Transport"]
G -->|"delivers"| H["Synaptic mRNA Localization"]
H -->|"facilitates"| I["Local Protein Synthesis"]
I -->|"supports"| J["Synaptic Plasticity"]
K["HNRNPA2B1 Mutations"] -->|"disrupts"| B
L["Oxidative Stress"] -->|"damages"| D
M["Microtubule Dysfunction"] -->|"impairs"| F
N["RNA Transport Failure"] -->|"leads to"| O["Neurodegeneration"]
P["Therapeutic RNA Chaperones"] -->|"restore"| G
classDef mechanism fill:#4fc3f7
classDef pathology fill:#ef5350
classDef therapy fill:#81c784
classDef outcome fill:#ffd54f
classDef genetics fill:#ce93d8
class A,B,C,D,E,F,G,H,I mechanism
class K,L,M,N,O pathology
class P therapy
class J outcome
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The microtubule-associated protein tau oligomerizes, but the actions of oligomeric tau (oTau) are unknown. We have used Cry2-based optogenetics to induce tau oligomers (oTau-c). Optical induction of oTau-c elicits tau phosphorylation, aggregation, and a translational stress response that includes stress granules and reduced protein synthesis. Proteomic analysis identifies HNRNPA2B1 as a principle target of oTau-c. The association of HNRNPA2B1 with endogenous oTau was verified in neurons, animal models, and human Alzheimer brain tissues. Mechanistic studies demonstrate that HNRNPA2B1 functions as a linker, connecting oTau with N6-methyladenosine (m6A) modified RNA transcripts. Knockdown of HNRNPA2B1 prevents oTau or oTau-c from associating with m6A or from reducing protein synthesis and reduces oTau-induced neurodegeneration. Levels of m6A and the m6A-oTau-HNRNPA2B1 complex are increased up to 5-fold in the brains of Alzheimer subjects and P301S tau mice. These results reveal a complex
Extracellular vesicles (EVs) are heterogeneous membranous particles released from the cells through different biogenetic and secretory mechanisms. We now conceive EVs as shuttles mediating cellular communication, carrying a variety of molecules resulting from intracellular homeostatic mechanisms. The RNA is a widely detected cargo and, impressively, a recognized functional intermediate that elects EVs as modulators of cancer cell phenotypes, determinants of disease spreading, cell surrogates in regenerative medicine, and a source for non-invasive molecular diagnostics. The mechanistic elucidation of the intracellular events responsible for the engagement of RNA into EVs will significantly improve the comprehension and possibly the prediction of EV "quality" in association with cell physiology. Interestingly, the application of multidisciplinary approaches, including biochemical as well as cell-based and computational strategies, is increasingly revealing an active RNA-packaging process
N(6)-methyladenosine (m(6)A) is the most abundant internal modification of messenger RNA. While the presence of m(6)A on transcripts can impact nuclear RNA fates, a reader of this mark that mediates processing of nuclear transcripts has not been identified. We find that the RNA-binding protein HNRNPA2B1 binds m(6)A-bearing RNAs in vivo and in vitro and its biochemical footprint matches the m(6)A consensus motif. HNRNPA2B1 directly binds a set of nuclear transcripts and elicits similar alternative splicing effects as the m(6)A writer METTL3. Moreover, HNRNPA2B1 binds to m(6)A marks in a subset of primary miRNA transcripts, interacts with the microRNA Microprocessor complex protein DGCR8, and promotes primary miRNA processing. Also, HNRNPA2B1 loss and METTL3 depletion cause similar processing defects for these pri-miRNA precursors. We propose HNRNPA2B1 to be a nuclear reader of the m(6)A mark and to mediate, in part, this mark's effects on primary microRNA processing and alternative spli
DNA viruses typically eject genomic DNA into the nuclei of host cells after entry. It is unclear, however, how nuclear pathogen-derived DNA triggers innate immune responses. We report that heterogeneous nuclear ribonucleoprotein A2B1 (hnRNPA2B1) recognizes pathogenic DNA and amplifies interferon-α/β (IFN-α/β) production. Upon DNA virus infection, nuclear-localized hnRNPA2B1 senses viral DNA, homodimerizes, and is then demethylated at arginine-226 by the arginine demethylase JMJD6. This results in hnRNPA2B1 translocation to the cytoplasm where it activates the TANK-binding kinase 1-interferon regulatory factor 3 (TBK1-IRF3) pathway, leading to IFN-α/β production. Additionally, hnRNPA2B1 facilitates N 6-methyladenosine (m6A) modification and nucleocytoplasmic trafficking of CGAS, IFI16, and STING messenger RNAs. This, in turn, amplifies the activation of cytoplasmic TBK1-IRF3 mediated by these factors. Thus, hnRNPA2B1 plays important roles in initiating IFN-α/β production and enhancing s
OBJECTIVES: Non-syndromic orofacial cleft (NSOFC) is a complex congenital disease caused by genetic and environmental factors, and its aetiology remains unclear. This study aims to investigate the association between potentially functional single-nucleotide polymorphisms (SNPs) in the RAD51 and E2F1 genes and the risk of developing NSOFC in the Han Chinese population. MATERIALS AND METHODS: A total of 200 NSOFC patients and 200 unrelated healthy controls of Han Chinese ancestry were recruited. Five candidate SNPs-rs1801320, rs45507396, rs7180135 and rs11855560 in the RAD51 gene, and rs3213180 in the E2F1 gene-were genotyped using the SNaPshot technique. Statistical and bioinformatics analyses were then performed to evaluate their associations with NSOFC. RESULTS: RAD51 variants were significantly associated with NSOFC. The G allele of rs45507396 was identified as a risk allele, showing significant associations under four genetic models, while rs1801320 was significantly associated with
Long non-coding RNAs (lncRNAs) have recently been reported to play a crucial role in neuropathic pain (NP). However, whether lncRNA 4930544M13Rik-201, a significantly up-regulated lncRNA in peripheral ganglia following nerve injury, contributes to NP is not elucidated. This study aimed to investigate the role and mechanism of 4930544M13Rik-201 in NP. In the current study, the head withdrawal threshold (HWT) of mice following infraorbital nerve chronic constriction injury (CCI-ION) was assessed using behavioral tests to evaluate the presence of neuropathic pain. To elucidate the underlying mechanisms, RT-qPCR, western blotting, RNA pull-down, RNA immunoprecipitation, immunofluorescence, and fluorescence in situ hybridization were performed. It was found that 4930544M13Rik-201 was predominantly located in the nuclei of neurons in the trigeminal ganglion (TG). Silencing 4930544M13Rik-201 alleviated mechanical allodynia, while overexpression of 4930544M13Rik-201 in the wild-type mice cause
The RNA-binding protein hnRNPA2B1 is critical for mRNA processing, transport, metabolism, and antiviral innate immunity. Its activity is modulated by various ligands, including RNA, single-stranded DNA (ssDNA), and the small-molecule agonist PAC5, but the structural dynamics of these ligand-specific modulations are not fully understood. We hypothesized that each ligand triggers distinct conformational shifts that dictate functional outcomes. Starting from available crystal structures, we built three complex models and performed 100-ns molecular-dynamics simulations, analyzing RMSD, RMSF, radius of gyration, free-energy landscapes, MM/PBSA binding affinities, PCA projections, and trajectory clustering. Our analyses reveal common and distinct interaction footprints between hnRNPA2B1 and the three ligands. Residues 24, 62, and 97 engage all ligands, whereas residues 28 and 30 form pronounced contacts with ssDNA yet only weakly interact with RNA and PAC5. Conversely, residues 102 and 108 a
BACKGROUND: Idiopathic pulmonary fibrosis (IPF) is sustained by multicellular circuits linking endothelial activation, fibroblast remodeling, and immune crosstalk. However, how N⁶-methyladenosine (m⁶A) regulation is embedded within these networks and how such network-level regulators can be prioritized as actionable nodes relevant to clinical pharmacology and safety remains unclear. METHODS: Guided by a computational modelling and network medicine framework, we integrated single-cell RNA-seq with spatial transcriptomics to systematically profile 23 canonical m⁶A regulators in pulmonary fibrosis and to map their coupling to immune, cytokine, and extracellular-matrix (ECM) programs. CellChat-based ligand–receptor inference was used to reconstruct intercellular communication, while hdWGCNA co-expression modules and pseudotime trajectories resolved intracellular program architecture and dynamic transitions. Key nodes were further interrogated experimentally. WTAP function was evaluated via
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Multisystem proteinopathy (MSP) is a pleiotropic group of inherited disorders that cause neurodegeneration, myopathy, and bone disease, and share common pathophysiology. Originally referred to as inclusion body myopathy associated with Paget disease of bone and frontotemporal dementia (IBMPFD), attributed to mutations in the gene encoding valosin-containing protein (VCP), it has more recently been discovered that there are several other genes responsible for similar clinical and pathological phenotypes with muscle, brain, nerve, and bone involvement, in various combinations. These include heterogeneous nuclear ribonucleoprotein A2B1 and A1 (hnRNPA2B1, hnRNPA1), sequestosome 1 (SQSTM1), matrin 3 (MATR3), T-cell restricted intracellular antigen 1 (TIA1), and optineurin (OPTN), all of which share disruption of RNA stress granule function and autophagic degradation. This review will discuss each of the genes implicated in MSP, exploring the molecular pathogenesis, clinical features, curren
Several rare inherited disorders have been described that show phenotypic overlap with Paget's disease of bone (PDB) and in which PDB is a component of a multisystem disorder affecting muscle and the central nervous system. These conditions are the subject of this review article. Insertion mutations within exon 1 of the TNFRSF11A gene, encoding the receptor activator of nuclear factor kappa B (RANK), cause severe PDB-like disorders including familial expansile osteolysis, early-onset familial PDB and expansile skeletal hyperphosphatasia. The mutations interfere with normal processing of RANK and cause osteoclast activation through activation of nuclear factor kappa B (NFκB) independent of RANK ligand stimulation. Recessive, loss-of-function mutations in the TNFRSF11B gene, which encodes osteoprotegerin, cause juvenile PDB and here the bone disease is due to unopposed activation of RANK by RANKL. Multisystem proteinopathy is a disorder characterised by myopathy and neurodegeneration in
In contrast to most eukaryotic cells, neurons possess long, highly branched processes called axons and dendrites. In large mammals, such as humans, some axons reach lengths of over 1 m. These lengths pose a major challenge to the movement of proteins, vesicles, and organelles between presynaptic sites and cell bodies. To overcome this challenge axons and dendrites rely upon specialized transport machinery consisting of cytoskeletal motor proteins generating directed movements along cytoskeletal tracks. Not only are these transport systems crucial to maintain neuronal viability and differentiation, but considerable experimental evidence suggests that failure of axonal transport may play a role in the development or progression of neurological diseases such as Alzheimer's disease.
Stress granules (SGs) are dynamic membraneless compartments composed out of RNA-binding proteins (RBPs) and RNA molecules that assemble temporarily to allow the cell to cope with cellular stress by stalling mRNA translation and moving synthesis towards cytoprotective proteins. Aberrant SGs have become prime suspects in the nucleation of toxic protein aggregation in frontotemporal dementia (FTD) and amyotrophic lateral sclerosis (ALS). Perturbed SG dynamics appears to be mediated by alterations in RNA binding proteins (RBP). Indeed, a growing number of FTD and/or ALS related RBPs coding genes (TDP43, FUS, EWSR1, TAF15, hnRNPA1, hnRNPA2B1, ATXN2, TIA1) have been identified to interfere with SG formation through mutation of their low-complexity domain (LCD), and thereby cause or influence disease. Interestingly, disease pathways associated to the C9orf72 repeat expansion, the leading genetic cause of the FTD-ALS spectrum, intersect with SG-mediated protein aggregate formation. In this rev
Specific Weaknesses:
| Event | Price | Change | Source | Time | |
|---|---|---|---|---|---|
| 📄 | New Evidence | $0.482 | ▲ 2.6% | evidence_batch_update | 2026-04-13 02:18 |
| 📄 | New Evidence | $0.470 | ▲ 5.2% | evidence_batch_update | 2026-04-13 02:18 |
| ⚖ | Recalibrated | $0.446 | ▼ 1.3% | 2026-04-10 15:58 | |
| ⚖ | Recalibrated | $0.452 | ▲ 1.5% | 2026-04-10 15:53 | |
| ⚖ | Recalibrated | $0.445 | ▲ 0.2% | 2026-04-08 18:39 | |
| ⚖ | Recalibrated | $0.444 | ▼ 0.4% | 2026-04-06 04:04 | |
| ⚖ | Recalibrated | $0.446 | ▼ 0.7% | 2026-04-04 16:38 | |
| ⚖ | Recalibrated | $0.449 | ▼ 3.0% | 2026-04-04 16:02 | |
| 📄 | New Evidence | $0.463 | ▲ 3.4% | evidence_batch_update | 2026-04-04 09:08 |
| ⚖ | Recalibrated | $0.448 | ▼ 19.7% | 2026-04-03 23:46 | |
| ⚖ | Recalibrated | $0.558 | ▲ 8.0% | market_dynamics | 2026-04-03 01:06 |
| ⚖ | Recalibrated | $0.516 | ▲ 8.9% | market_dynamics | 2026-04-03 01:06 |
| ⚖ | Recalibrated | $0.474 | ▲ 6.0% | 2026-04-02 21:55 | |
| ⚖ | Recalibrated | $0.447 | ▼ 0.7% | market_recalibrate | 2026-04-02 19:14 |
| 💬 | Debate Round | $0.450 | ▲ 7.5% | debate_engine | 2026-04-02 17:18 |
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Molecular pathway showing key causal relationships underlying this hypothesis
graph TD
HNRNPA2B1["HNRNPA2B1"] -->|mediates| axonal_RNA_transport["axonal_RNA_transport"]
HNRNPA2B1_1["HNRNPA2B1"] -->|associated with| neurodegeneration["neurodegeneration"]
HNRNPA2B1_2["HNRNPA2B1"] -->|participates in| RNA_transport___hnRNP_pro["RNA transport / hnRNP processing"]
SETX["SETX"] -->|co discussed| HNRNPA2B1_3["HNRNPA2B1"]
TARDBP["TARDBP"] -->|co discussed| HNRNPA2B1_4["HNRNPA2B1"]
HNRNPA2B1_5["HNRNPA2B1"] -->|co discussed| NPM1["NPM1"]
HNRNPA2B1_6["HNRNPA2B1"] -->|co discussed| SYNCRIP["SYNCRIP"]
HNRNPA2B1_7["HNRNPA2B1"] -->|co discussed| G3BP1["G3BP1"]
G3BP1_8["G3BP1"] -->|co discussed| HNRNPA2B1_9["HNRNPA2B1"]
NPM1_10["NPM1"] -->|co discussed| HNRNPA2B1_11["HNRNPA2B1"]
HNRNPA2B1_12["HNRNPA2B1"] -->|co discussed| SETX_13["SETX"]
HNRNPA2B1_14["HNRNPA2B1"] -->|co discussed| TARDBP_15["TARDBP"]
G3BP1_16["G3BP1"] -->|co associated with| HNRNPA2B1_17["HNRNPA2B1"]
HNRNPA2B1_18["HNRNPA2B1"] -->|co associated with| SETX_19["SETX"]
HNRNPA2B1_20["HNRNPA2B1"] -->|co associated with| NPM1_21["NPM1"]
style HNRNPA2B1 fill:#ce93d8,stroke:#333,color:#000
style axonal_RNA_transport fill:#81c784,stroke:#333,color:#000
style HNRNPA2B1_1 fill:#ce93d8,stroke:#333,color:#000
style neurodegeneration fill:#ef5350,stroke:#333,color:#000
style HNRNPA2B1_2 fill:#ce93d8,stroke:#333,color:#000
style RNA_transport___hnRNP_pro fill:#81c784,stroke:#333,color:#000
style SETX fill:#ce93d8,stroke:#333,color:#000
style HNRNPA2B1_3 fill:#ce93d8,stroke:#333,color:#000
style TARDBP fill:#ce93d8,stroke:#333,color:#000
style HNRNPA2B1_4 fill:#ce93d8,stroke:#333,color:#000
style HNRNPA2B1_5 fill:#ce93d8,stroke:#333,color:#000
style NPM1 fill:#ce93d8,stroke:#333,color:#000
style HNRNPA2B1_6 fill:#ce93d8,stroke:#333,color:#000
style SYNCRIP fill:#ce93d8,stroke:#333,color:#000
style HNRNPA2B1_7 fill:#ce93d8,stroke:#333,color:#000
style G3BP1 fill:#ce93d8,stroke:#333,color:#000
style G3BP1_8 fill:#ce93d8,stroke:#333,color:#000
style HNRNPA2B1_9 fill:#ce93d8,stroke:#333,color:#000
style NPM1_10 fill:#ce93d8,stroke:#333,color:#000
style HNRNPA2B1_11 fill:#ce93d8,stroke:#333,color:#000
style HNRNPA2B1_12 fill:#ce93d8,stroke:#333,color:#000
style SETX_13 fill:#ce93d8,stroke:#333,color:#000
style HNRNPA2B1_14 fill:#ce93d8,stroke:#333,color:#000
style TARDBP_15 fill:#ce93d8,stroke:#333,color:#000
style G3BP1_16 fill:#ce93d8,stroke:#333,color:#000
style HNRNPA2B1_17 fill:#ce93d8,stroke:#333,color:#000
style HNRNPA2B1_18 fill:#ce93d8,stroke:#333,color:#000
style SETX_19 fill:#ce93d8,stroke:#333,color:#000
style HNRNPA2B1_20 fill:#ce93d8,stroke:#333,color:#000
style NPM1_21 fill:#ce93d8,stroke:#333,color:#000
neurodegeneration | 2026-04-01 | completed