From Analysis:
Epigenetic clocks and biological aging in neurodegeneration
Epigenetic clocks and biological aging in neurodegeneration
These hypotheses emerged from the same multi-agent debate that produced this hypothesis.
Molecular Mechanism and Rationale
DNA methyltransferase 1 (DNMT1) serves as the primary maintenance methyltransferase in mammalian cells, responsible for preserving DNA methylation patterns during cell division by adding methyl groups to hemimethylated CpG dinucleotides. In the context of neurodegeneration, DNMT1 dysregulation leads to aberrant hypermethylation of critical neuronal genes, particularly at promoter regions containing CpG islands. This pathological methylation silences neuroprotective genes including brain-derived neurotrophic factor (BDNF), cAMP response element-binding protein (CREB1), and early growth response 1 (EGR1), which are essential for synaptic plasticity, neuronal survival, and cognitive function.
Curated pathway diagram from expert analysis
graph TD
A["DNMT1<br/>Overexpression"]
B["Aberrant CpG<br/>Hypermethylation"]
C["BDNF Gene<br/>Silencing"]
D["CREB1 Gene<br/>Silencing"]
E["EGR1 Gene<br/>Silencing"]
F["Reduced Synaptic<br/>Plasticity"]
G["Neuronal<br/>Death"]
H["Chronic<br/>Neuroinflammation"]
I["Oxidative<br/>Stress"]
J["DNMT1-Targeting<br/>Antisense Oligonucleotide"]
K["PCNA/DMAP1/EZH2<br/>Cofactor Disruption"]
L["DNA Methylation<br/>Pattern Reset"]
M["Neuroprotective Gene<br/>Reactivation"]
N["Cognitive Function<br/>Recovery"]
O["Neurodegeneration<br/>Progression"]
A -->|"Promoter targeting"| B
B -->|"Transcriptional silencing"| C
B -->|"Transcriptional silencing"| D
B -->|"Transcriptional silencing"| E
C -->|"Loss of neurotrophic support"| F
D -->|"Impaired survival signaling"| G
E -->|"Reduced plasticity genes"| F
F -->|"Synaptic dysfunction"| O
G -->|"Cell loss"| O
H -->|"Inflammatory signaling"| A
I -->|"Stress response"| A
J -->|"DNMT1 knockdown"| K
J -->|"Methyltransferase inhibition"| L
K -->|"Cofactor disruption"| L
L -->|"Epigenetic reprogramming"| M
M -->|"BDNF/CREB1/EGR1 restoration"| N
classDef pathology fill:#ef5350
classDef therapy fill:#81c784
classDef outcome fill:#ffd54f
classDef molecular fill:#ce93d8
classDef normal fill:#4fc3f7
class A,B,F,G,H,I,O pathology
class J,K,L,M therapy
class N outcome
class C,D,E molecular
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Classic strategies for circular RNA (circRNA) preparation always introduce large numbers of linear transcripts or extra nucleotides to the circularized product. In this study, we aimed to develop an efficient system for circRNA preparation based on a self-splicing ribozyme derived from an optimized Tetrahymena thermophila group Ⅰ intron. The target RNA sequence was inserted downstream of the ribozyme and a complementary antisense region was added upstream of the ribozyme to assist cyclization. Then, we compared the circularization efficiency of ribozyme or flanking intronic complementary sequence (ICS)-mediated methods through the DNMT1, CDR1as, FOXO3, and HIPK3 genes and found that the efficiency of our system was remarkably higher than that of flanking ICS-mediated method. Consequently, the circularized products mediated by ribozyme are not introduced with additional nucleotides. Meanwhile, the overexpressed circFOXO3 maintained its biological functions in regulating cell proliferati
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Target: TET2 (Ten-eleven translocation methylcytosine dioxygenase 2)
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| Event | Price | Change | Source | Time | |
|---|---|---|---|---|---|
| 📄 | New Evidence | $0.392 | ▲ 3.0% | evidence_batch_update | 2026-04-13 02:18 |
| 📄 | New Evidence | $0.381 | ▲ 6.2% | evidence_batch_update | 2026-04-13 02:18 |
| ⚖ | Recalibrated | $0.359 | ▼ 0.5% | 2026-04-12 10:15 | |
| ⚖ | Recalibrated | $0.360 | ▼ 1.5% | 2026-04-10 15:58 | |
| ⚖ | Recalibrated | $0.366 | ▲ 1.8% | 2026-04-10 15:53 | |
| ⚖ | Recalibrated | $0.359 | ▲ 3.0% | 2026-04-08 18:39 | |
| ⚖ | Recalibrated | $0.349 | ▲ 1.4% | 2026-04-06 04:04 | |
| ⚖ | Recalibrated | $0.344 | ▼ 1.0% | 2026-04-04 16:38 | |
| ⚖ | Recalibrated | $0.348 | ▼ 3.5% | 2026-04-04 16:02 | |
| 📄 | New Evidence | $0.360 | ▲ 4.1% | evidence_batch_update | 2026-04-04 09:08 |
| ⚖ | Recalibrated | $0.346 | ▼ 2.4% | 2026-04-03 23:46 | |
| ⚖ | Recalibrated | $0.355 | ▼ 1.2% | 2026-04-02 21:55 | |
| ⚖ | Recalibrated | $0.359 | ▲ 14.0% | market_recalibrate | 2026-04-02 19:14 |
| 💬 | Debate Round | $0.315 | ▲ 5.2% | debate_engine | 2026-04-02 17:18 |
| 📄 | New Evidence | $0.299 | ▼ 17.0% | market_dynamics | 2026-04-02 17:18 |
Molecular pathway showing key causal relationships underlying this hypothesis
graph TD
DNMT1["DNMT1"] -->|methylates| CpG_methylation["CpG_methylation"]
HDAC3["HDAC3"] -->|co discussed| DNMT1_1["DNMT1"]
TET2["TET2"] -->|co discussed| DNMT1_2["DNMT1"]
KDM6A["KDM6A"] -->|co discussed| DNMT1_3["DNMT1"]
SIRT6["SIRT6"] -->|co discussed| DNMT1_4["DNMT1"]
DNMT1_5["DNMT1"] -->|co discussed| FOXO3["FOXO3"]
DNMT1_6["DNMT1"] -->|co discussed| EZH2["EZH2"]
DNMT1_7["DNMT1"] -->|co discussed| MECP2["MECP2"]
DNMT1_8["DNMT1"] -->|co discussed| SOD1["SOD1"]
DNMT1_9["DNMT1"] -->|co discussed| SIRT6_10["SIRT6"]
DNMT1_11["DNMT1"] -->|co discussed| HDAC3_12["HDAC3"]
DNMT1_13["DNMT1"] -->|co discussed| KDM6A_14["KDM6A"]
DNMT1_15["DNMT1"] -->|co discussed| TET2_16["TET2"]
FOXO3_17["FOXO3"] -->|co discussed| DNMT1_18["DNMT1"]
DNMT1_19["DNMT1"] -->|co associated with| KDM6A_20["KDM6A"]
style DNMT1 fill:#ce93d8,stroke:#333,color:#000
style CpG_methylation fill:#4fc3f7,stroke:#333,color:#000
style HDAC3 fill:#ce93d8,stroke:#333,color:#000
style DNMT1_1 fill:#ce93d8,stroke:#333,color:#000
style TET2 fill:#ce93d8,stroke:#333,color:#000
style DNMT1_2 fill:#ce93d8,stroke:#333,color:#000
style KDM6A fill:#ce93d8,stroke:#333,color:#000
style DNMT1_3 fill:#ce93d8,stroke:#333,color:#000
style SIRT6 fill:#ce93d8,stroke:#333,color:#000
style DNMT1_4 fill:#ce93d8,stroke:#333,color:#000
style DNMT1_5 fill:#ce93d8,stroke:#333,color:#000
style FOXO3 fill:#ce93d8,stroke:#333,color:#000
style DNMT1_6 fill:#ce93d8,stroke:#333,color:#000
style EZH2 fill:#ce93d8,stroke:#333,color:#000
style DNMT1_7 fill:#ce93d8,stroke:#333,color:#000
style MECP2 fill:#ce93d8,stroke:#333,color:#000
style DNMT1_8 fill:#ce93d8,stroke:#333,color:#000
style SOD1 fill:#ce93d8,stroke:#333,color:#000
style DNMT1_9 fill:#ce93d8,stroke:#333,color:#000
style SIRT6_10 fill:#ce93d8,stroke:#333,color:#000
style DNMT1_11 fill:#ce93d8,stroke:#333,color:#000
style HDAC3_12 fill:#ce93d8,stroke:#333,color:#000
style DNMT1_13 fill:#ce93d8,stroke:#333,color:#000
style KDM6A_14 fill:#ce93d8,stroke:#333,color:#000
style DNMT1_15 fill:#ce93d8,stroke:#333,color:#000
style TET2_16 fill:#ce93d8,stroke:#333,color:#000
style FOXO3_17 fill:#ce93d8,stroke:#333,color:#000
style DNMT1_18 fill:#ce93d8,stroke:#333,color:#000
style DNMT1_19 fill:#ce93d8,stroke:#333,color:#000
style KDM6A_20 fill:#ce93d8,stroke:#333,color:#000
neurodegeneration | 2026-04-01 | completed