Tau propagation mechanisms and therapeutic interception points¶
Notebook ID: nb-SDA-2026-04-04-gap-tau-prop-20260402003221 · Analysis: SDA-2026-04-04-gap-tau-prop-20260402003221 · Generated: 2026-04-20T08:57:37
Research question¶
Investigate prion-like spreading of tau pathology through connected brain regions, focusing on trans-synaptic transfer, extracellular vesicle-mediated spread, and intervention strategies at each propagation step
Approach¶
This notebook is generated programmatically from real Forge tool calls and SciDEX debate data. Forge tools used: PubMed Search, MyGene, STRING PPI, Reactome pathways, Enrichr.
Debate Summary¶
Quality score: 0.95 · Rounds: 4
1. Target gene annotations (MyGene + Human Protein Atlas)¶
import pandas as pd
ann_rows = [{'gene': 'CHMP4B', 'name': 'charged multivesicular body protein 4B', 'protein_class': "['Disease related genes', 'Essential proteins', 'Human disea", 'disease_involvement': "['Cataract', 'Disease variant']"}, {'gene': 'HSP90AA1', 'name': 'heat shock protein 90 alpha family class A member 1', 'protein_class': "['Cancer-related genes', 'Enzymes', 'Plasma proteins', 'Pred", 'disease_involvement': "['Cancer-related genes']"}, {'gene': 'LRP1', 'name': 'LDL receptor related protein 1', 'protein_class': "['Candidate cardiovascular disease genes', 'CD markers', 'Di", 'disease_involvement': "['Disease variant']"}, {'gene': 'NLGN1', 'name': 'neuroligin 1', 'protein_class': "['Disease related genes', 'Human disease related genes', 'Po", 'disease_involvement': "['Autism', 'Autism spectrum disorder', 'Disease variant']"}, {'gene': 'P2RX7', 'name': 'purinergic receptor P2X 7', 'protein_class': "['Predicted membrane proteins', 'Transporters']", 'disease_involvement': '—'}, {'gene': 'SNAP25', 'name': 'synaptosome associated protein 25', 'protein_class': "['Disease related genes', 'FDA approved drug targets', 'Huma", 'disease_involvement': "['Congenital myasthenic syndrome', 'Disease variant', 'FDA approved drug targets"}, {'gene': 'TREM2', 'name': 'triggering receptor expressed on myeloid cells 2', 'protein_class': "['Disease related genes', 'Human disease related genes', 'Po", 'disease_involvement': "['Alzheimer disease', 'Amyloidosis', 'Disease variant', 'Neurodegeneration']"}, {'gene': 'VCP', 'name': 'valosin containing protein', 'protein_class': "['Disease related genes', 'Enzymes', 'Essential proteins', '", 'disease_involvement': "['Amyotrophic lateral sclerosis', 'Charcot-Marie-Tooth disease', 'Disease varian"}]
pd.DataFrame(ann_rows)
| gene | name | protein_class | disease_involvement | |
|---|---|---|---|---|
| 0 | CHMP4B | charged multivesicular body protein 4B | ['Disease related genes', 'Essential proteins'... | ['Cataract', 'Disease variant'] |
| 1 | HSP90AA1 | heat shock protein 90 alpha family class A mem... | ['Cancer-related genes', 'Enzymes', 'Plasma pr... | ['Cancer-related genes'] |
| 2 | LRP1 | LDL receptor related protein 1 | ['Candidate cardiovascular disease genes', 'CD... | ['Disease variant'] |
| 3 | NLGN1 | neuroligin 1 | ['Disease related genes', 'Human disease relat... | ['Autism', 'Autism spectrum disorder', 'Diseas... |
| 4 | P2RX7 | purinergic receptor P2X 7 | ['Predicted membrane proteins', 'Transporters'] | — |
| 5 | SNAP25 | synaptosome associated protein 25 | ['Disease related genes', 'FDA approved drug t... | ['Congenital myasthenic syndrome', 'Disease va... |
| 6 | TREM2 | triggering receptor expressed on myeloid cells 2 | ['Disease related genes', 'Human disease relat... | ['Alzheimer disease', 'Amyloidosis', 'Disease ... |
| 7 | VCP | valosin containing protein | ['Disease related genes', 'Enzymes', 'Essentia... | ['Amyotrophic lateral sclerosis', 'Charcot-Mar... |
2. GO Biological Process enrichment (Enrichr)¶
go_bp = [{'rank': 1, 'term': 'Positive Regulation Of Amyloid-Beta Clearance (GO:1900223)', 'p_value': 2.0982540726248864e-06, 'odds_ratio': 1665.6666666666667, 'genes': ['LRP1', 'TREM2']}, {'rank': 2, 'term': 'Positive Regulation Of Endocytosis (GO:0045807)', 'p_value': 3.2745060493527168e-06, 'odds_ratio': 157.23157894736843, 'genes': ['NLGN1', 'LRP1', 'TREM2']}, {'rank': 3, 'term': 'Positive Regulation Of ATP Biosynthetic Process (GO:2001171)', 'p_value': 3.9152037969490335e-06, 'odds_ratio': 1110.3333333333333, 'genes': ['VCP', 'TREM2']}, {'rank': 4, 'term': 'Positive Regulation Of ATP Metabolic Process (GO:1903580)', 'p_value': 5.032841318877048e-06, 'odds_ratio': 951.6666666666666, 'genes': ['VCP', 'TREM2']}, {'rank': 5, 'term': 'Positive Regulation Of Protein Catabolic Process (GO:0045732)', 'p_value': 5.187357870686843e-06, 'odds_ratio': 134.17752808988763, 'genes': ['HSP90AA1', 'VCP', 'TREM2']}, {'rank': 6, 'term': 'Positive Regulation Of Purine Nucleotide Biosynthetic Process (GO:1900373)', 'p_value': 9.221402746009655e-06, 'odds_ratio': 666.0666666666667, 'genes': ['VCP', 'TREM2']}, {'rank': 7, 'term': 'Astrocyte Activation (GO:0048143)', 'p_value': 9.221402746009655e-06, 'odds_ratio': 666.0666666666667, 'genes': ['LRP1', 'TREM2']}, {'rank': 8, 'term': 'Positive Regulation Of Cellular Component Organization (GO:0051130)', 'p_value': 9.633449558779347e-06, 'odds_ratio': 108.44727272727273, 'genes': ['VCP', 'LRP1', 'TREM2']}, {'rank': 9, 'term': 'Regulation Of ATP Biosynthetic Process (GO:2001169)', 'p_value': 1.270931618352025e-05, 'odds_ratio': 555.0, 'genes': ['VCP', 'TREM2']}, {'rank': 10, 'term': 'Regulation Of Amyloid-Beta Clearance (GO:1900221)', 'p_value': 1.4661684218577711e-05, 'odds_ratio': 512.2820512820513, 'genes': ['LRP1', 'TREM2']}]
go_df = pd.DataFrame(go_bp)[['term','p_value','odds_ratio','genes']]
go_df['p_value'] = go_df['p_value'].apply(lambda p: f'{p:.2e}')
go_df['odds_ratio'] = go_df['odds_ratio'].round(1)
go_df['term'] = go_df['term'].str[:60]
go_df['n_hits'] = go_df['genes'].apply(len)
go_df['genes'] = go_df['genes'].apply(lambda g: ', '.join(g))
go_df[['term','n_hits','p_value','odds_ratio','genes']]
| term | n_hits | p_value | odds_ratio | genes | |
|---|---|---|---|---|---|
| 0 | Positive Regulation Of Amyloid-Beta Clearance ... | 2 | 2.10e-06 | 1665.7 | LRP1, TREM2 |
| 1 | Positive Regulation Of Endocytosis (GO:0045807) | 3 | 3.27e-06 | 157.2 | NLGN1, LRP1, TREM2 |
| 2 | Positive Regulation Of ATP Biosynthetic Proces... | 2 | 3.92e-06 | 1110.3 | VCP, TREM2 |
| 3 | Positive Regulation Of ATP Metabolic Process (... | 2 | 5.03e-06 | 951.7 | VCP, TREM2 |
| 4 | Positive Regulation Of Protein Catabolic Proce... | 3 | 5.19e-06 | 134.2 | HSP90AA1, VCP, TREM2 |
| 5 | Positive Regulation Of Purine Nucleotide Biosy... | 2 | 9.22e-06 | 666.1 | VCP, TREM2 |
| 6 | Astrocyte Activation (GO:0048143) | 2 | 9.22e-06 | 666.1 | LRP1, TREM2 |
| 7 | Positive Regulation Of Cellular Component Orga... | 3 | 9.63e-06 | 108.4 | VCP, LRP1, TREM2 |
| 8 | Regulation Of ATP Biosynthetic Process (GO:200... | 2 | 1.27e-05 | 555.0 | VCP, TREM2 |
| 9 | Regulation Of Amyloid-Beta Clearance (GO:1900221) | 2 | 1.47e-05 | 512.3 | LRP1, TREM2 |
import matplotlib.pyplot as plt
import numpy as np
go_bp = [{'rank': 1, 'term': 'Positive Regulation Of Amyloid-Beta Clearance (GO:1900223)', 'p_value': 2.0982540726248864e-06, 'odds_ratio': 1665.6666666666667, 'genes': ['LRP1', 'TREM2']}, {'rank': 2, 'term': 'Positive Regulation Of Endocytosis (GO:0045807)', 'p_value': 3.2745060493527168e-06, 'odds_ratio': 157.23157894736843, 'genes': ['NLGN1', 'LRP1', 'TREM2']}, {'rank': 3, 'term': 'Positive Regulation Of ATP Biosynthetic Process (GO:2001171)', 'p_value': 3.9152037969490335e-06, 'odds_ratio': 1110.3333333333333, 'genes': ['VCP', 'TREM2']}, {'rank': 4, 'term': 'Positive Regulation Of ATP Metabolic Process (GO:1903580)', 'p_value': 5.032841318877048e-06, 'odds_ratio': 951.6666666666666, 'genes': ['VCP', 'TREM2']}, {'rank': 5, 'term': 'Positive Regulation Of Protein Catabolic Process (GO:0045732)', 'p_value': 5.187357870686843e-06, 'odds_ratio': 134.17752808988763, 'genes': ['HSP90AA1', 'VCP', 'TREM2']}, {'rank': 6, 'term': 'Positive Regulation Of Purine Nucleotide Biosynthetic Process (GO:1900373)', 'p_value': 9.221402746009655e-06, 'odds_ratio': 666.0666666666667, 'genes': ['VCP', 'TREM2']}, {'rank': 7, 'term': 'Astrocyte Activation (GO:0048143)', 'p_value': 9.221402746009655e-06, 'odds_ratio': 666.0666666666667, 'genes': ['LRP1', 'TREM2']}, {'rank': 8, 'term': 'Positive Regulation Of Cellular Component Organization (GO:0051130)', 'p_value': 9.633449558779347e-06, 'odds_ratio': 108.44727272727273, 'genes': ['VCP', 'LRP1', 'TREM2']}]
terms = [t['term'][:45] for t in go_bp][::-1]
neglogp = [-np.log10(max(t['p_value'], 1e-300)) for t in go_bp][::-1]
fig, ax = plt.subplots(figsize=(9, 4.5))
ax.barh(terms, neglogp, color='#4fc3f7')
ax.set_xlabel('-log10(p-value)')
ax.set_title('Top GO:BP enrichment (Enrichr)')
ax.grid(axis='x', alpha=0.3)
plt.tight_layout(); plt.show()
3. STRING protein interaction network¶
ppi = [{'protein1': 'LRP1', 'protein2': 'HSP90AA1', 'score': 0.988, 'nscore': 0, 'fscore': 0, 'pscore': 0, 'ascore': 0, 'escore': 0.412, 'dscore': 0, 'tscore': 0.982}, {'protein1': 'HSP90AA1', 'protein2': 'VCP', 'score': 0.803, 'nscore': 0, 'fscore': 0, 'pscore': 0, 'ascore': 0, 'escore': 0.423, 'dscore': 0.5, 'tscore': 0.374}]
ppi_df = pd.DataFrame(ppi).sort_values('score', ascending=False)
display_cols = [c for c in ['protein1','protein2','score','escore','tscore'] if c in ppi_df.columns]
print(f'{len(ppi_df)} STRING edges')
ppi_df[display_cols].head(20)
2 STRING edges
| protein1 | protein2 | score | escore | tscore | |
|---|---|---|---|---|---|
| 0 | LRP1 | HSP90AA1 | 0.988 | 0.412 | 0.982 |
| 1 | HSP90AA1 | VCP | 0.803 | 0.423 | 0.374 |
import math
ppi = [{'protein1': 'LRP1', 'protein2': 'HSP90AA1', 'score': 0.988, 'nscore': 0, 'fscore': 0, 'pscore': 0, 'ascore': 0, 'escore': 0.412, 'dscore': 0, 'tscore': 0.982}, {'protein1': 'HSP90AA1', 'protein2': 'VCP', 'score': 0.803, 'nscore': 0, 'fscore': 0, 'pscore': 0, 'ascore': 0, 'escore': 0.423, 'dscore': 0.5, 'tscore': 0.374}]
if ppi:
nodes = sorted({p for e in ppi for p in (e['protein1'], e['protein2'])})
n = len(nodes)
pos = {n_: (math.cos(2*math.pi*i/n), math.sin(2*math.pi*i/n)) for i, n_ in enumerate(nodes)}
fig, ax = plt.subplots(figsize=(7, 7))
for e in ppi:
x1,y1 = pos[e['protein1']]; x2,y2 = pos[e['protein2']]
ax.plot([x1,x2],[y1,y2], color='#888', alpha=0.3+0.5*e.get('score',0))
for name,(x,y) in pos.items():
ax.scatter([x],[y], s=450, color='#ffd54f', edgecolors='#333', zorder=3)
ax.annotate(name, (x,y), ha='center', va='center', fontsize=8, fontweight='bold', zorder=4)
ax.set_aspect('equal'); ax.axis('off')
ax.set_title(f'STRING PPI network ({len(ppi)} edges)')
plt.tight_layout(); plt.show()
4. Reactome pathway footprint¶
pw_rows = [{'gene': 'CHMP4B', 'n_pathways': 8, 'top_pathway': 'Budding and maturation of HIV virion'}, {'gene': 'HSP90AA1', 'n_pathways': 8, 'top_pathway': 'Signaling by ERBB2'}, {'gene': 'LRP1', 'n_pathways': 2, 'top_pathway': 'Scavenging of heme from plasma'}, {'gene': 'NLGN1', 'n_pathways': 1, 'top_pathway': 'Neurexins and neuroligins'}, {'gene': 'P2RX7', 'n_pathways': 5, 'top_pathway': 'Elevation of cytosolic Ca2+ levels'}, {'gene': 'SNAP25', 'n_pathways': 8, 'top_pathway': 'Serotonin Neurotransmitter Release Cycle'}, {'gene': 'TREM2', 'n_pathways': 4, 'top_pathway': 'Immunoregulatory interactions between a Lymphoid and a non-Lymphoid ce'}, {'gene': 'VCP', 'n_pathways': 8, 'top_pathway': 'Translesion Synthesis by POLH'}]
pd.DataFrame(pw_rows).sort_values('n_pathways', ascending=False)
| gene | n_pathways | top_pathway | |
|---|---|---|---|
| 0 | CHMP4B | 8 | Budding and maturation of HIV virion |
| 1 | HSP90AA1 | 8 | Signaling by ERBB2 |
| 7 | VCP | 8 | Translesion Synthesis by POLH |
| 5 | SNAP25 | 8 | Serotonin Neurotransmitter Release Cycle |
| 4 | P2RX7 | 5 | Elevation of cytosolic Ca2+ levels |
| 6 | TREM2 | 4 | Immunoregulatory interactions between a Lympho... |
| 2 | LRP1 | 2 | Scavenging of heme from plasma |
| 3 | NLGN1 | 1 | Neurexins and neuroligins |
5. Hypothesis ranking (15 hypotheses)¶
hyp_data = [('LRP1-Dependent Tau Uptake Disruption', 0.979), ('TREM2-mediated microglial tau clearance enhancement', 0.916), ('Extracellular Vesicle Biogenesis Modulation', 0.814), ('P2RX7-Mediated Exosome Secretion Blockade', 0.807), ('TREM2-mediated microglial tau clearance enhancement', 0.8), ('VCP-Mediated Autophagy Enhancement', 0.787), ('HSP90-Tau Disaggregation Complex Enhancement', 0.752), ('LRP1-Dependent Tau Uptake Disruption', 0.747), ('VCP-Mediated Autophagy Enhancement', 0.713), ('Synaptic Vesicle Tau Capture Inhibition', 0.644), ('Extracellular Vesicle Biogenesis Modulation', 0.635), ('HSP90-Tau Disaggregation Complex Enhancement', 0.634), ('Trans-Synaptic Adhesion Molecule Modulation', 0.628), ('Synaptic Vesicle Tau Capture Inhibition', 0.547), ('Trans-Synaptic Adhesion Molecule Modulation', 0.503)]
titles = [h[0] for h in hyp_data][::-1]
scores = [h[1] for h in hyp_data][::-1]
fig, ax = plt.subplots(figsize=(10, max(8, len(titles)*0.4)))
colors = ['#ef5350' if s >= 0.6 else '#ffa726' if s >= 0.5 else '#66bb6a' for s in scores]
ax.barh(range(len(titles)), scores, color=colors)
ax.set_yticks(range(len(titles))); ax.set_yticklabels(titles, fontsize=7)
ax.set_xlabel('Composite Score'); ax.set_title('Tau propagation mechanisms and therapeutic interception points')
ax.grid(axis='x', alpha=0.3)
plt.tight_layout(); plt.show()
6. Score dimension heatmap (top 10)¶
labels = ['LRP1-Dependent Tau Uptake Disruption', 'TREM2-mediated microglial tau clearance ', 'Extracellular Vesicle Biogenesis Modulat', 'P2RX7-Mediated Exosome Secretion Blockad', 'TREM2-mediated microglial tau clearance ', 'VCP-Mediated Autophagy Enhancement', 'HSP90-Tau Disaggregation Complex Enhance', 'LRP1-Dependent Tau Uptake Disruption', 'VCP-Mediated Autophagy Enhancement', 'Synaptic Vesicle Tau Capture Inhibition']
matrix = np.array([[0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0], [0.9, 0.9, 0.8, 0.8, 0, 0.7, 0.6, 0.95, 0.6], [0.5419906661714097, 0.49037250748841826, 0.5265052185665123, 0.566181586829914, 0.462, 0, 0, 0.72, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0], [0.5544, 0.5016, 0.53856, 0.5780000000000001, 0.12, 0, 0, 0.82, 0], [0.5091692307692308, 0.46067692307692304, 0.49462153846153845, 0.5149230769230769, 1.0, 0, 0, 0.62, 0], [0.5124, 0.46359999999999996, 0.49776, 0.518, 0.56, 0, 0, 0.72, 0], [0.357, 0.32299999999999995, 0.3468, 0.36, 0.462, 0, 0, 0.35, 0]])
dims = ['novelty_score', 'feasibility_score', 'impact_score', 'mechanistic_plausibility_score', 'clinical_relevance_score', 'data_availability_score', 'reproducibility_score', 'druggability_score', 'safety_profile_score']
if matrix.size:
fig, ax = plt.subplots(figsize=(10, 5))
im = ax.imshow(matrix, cmap='RdYlGn', aspect='auto', vmin=0, vmax=1)
ax.set_xticks(range(len(dims)))
ax.set_xticklabels([d.replace('_score','').replace('_',' ').title() for d in dims],
rotation=45, ha='right', fontsize=8)
ax.set_yticks(range(len(labels))); ax.set_yticklabels(labels, fontsize=7)
ax.set_title('Score dimensions — top hypotheses')
plt.colorbar(im, ax=ax, shrink=0.8)
plt.tight_layout(); plt.show()
else:
print('No score data available')
7. PubMed literature per hypothesis¶
Hypothesis 1: LRP1-Dependent Tau Uptake Disruption¶
Target genes: LRP1 · Composite score: 0.979
LRP1-Dependent Tau Uptake Disruption in Tauopathic Neurodegeneration¶
Background and Rationale¶
The progressive spreading of hyperphosphorylated tau pathology throughout the brain represents a hallmark of Alzheimer's disease and related tauopathies, including progressive supranuclear palsy, cor
print('No PubMed results for hypothesis SDA-2026-04-02-gap-tau-prop-20260402003221-H001')
No PubMed results for hypothesis SDA-2026-04-02-gap-tau-prop-20260402003221-H001
Hypothesis 2: TREM2-mediated microglial tau clearance enhancement¶
Target genes: TREM2 · Composite score: 0.916
Background and Rationale
Triggering receptor expressed on myeloid cells 2 (TREM2) has emerged as a critical regulator of microglial function and a key player in neurodegenerative disease pathogenesis. TREM2 is a transmembrane glycoprotein exclusively expressed by microglia in the central nervou
print('No PubMed results for hypothesis SDA-2026-04-02-gap-tau-prop-20260402003221-H002')
No PubMed results for hypothesis SDA-2026-04-02-gap-tau-prop-20260402003221-H002
Hypothesis 3: Extracellular Vesicle Biogenesis Modulation¶
Target genes: CHMP4B · Composite score: 0.814
Background and Rationale
Tau protein pathology represents a hallmark of numerous neurodegenerative diseases, collectively termed tauopathies, including Alzheimer's disease, frontotemporal dementia, progressive supranuclear palsy, and chronic traumatic encephalopathy. While tau aggregation withi
print('No PubMed results for hypothesis SDA-2026-04-02-gap-tau-prop-20260402003221-H003')
No PubMed results for hypothesis SDA-2026-04-02-gap-tau-prop-20260402003221-H003
Hypothesis 4: P2RX7-Mediated Exosome Secretion Blockade¶
Target genes: P2RX7 · Composite score: 0.807
P2RX7-Mediated Exosome Secretion Blockade: A Therapeutic Target in Neurodegeneration¶
Mechanism of Action¶
P2RX7 (purinergic receptor P2X, ligand-gated ion channel 7) is a ATP-gated non-selective cation channel expressed predominantly on microglia, the resident immune cells of the central nervo
print('No PubMed results for hypothesis h-1333080b')
No PubMed results for hypothesis h-1333080b
Hypothesis 5: TREM2-mediated microglial tau clearance enhancement¶
Target genes: TREM2 · Composite score: 0.8
TREM2-Mediated Microglial Reprogramming for Tau Clearance in Alzheimer's Disease
Overview: Microglia as Tau Propagators vs. Tau Clearers
TREM2 (Triggering Receptor Expressed on Myeloid cells 2) is a microglial surface receptor that regulates phagocytic activity, metabolic fitness, and infl
print('No PubMed results for hypothesis h-b234254c')
No PubMed results for hypothesis h-b234254c
Hypothesis 6: VCP-Mediated Autophagy Enhancement¶
Target genes: VCP · Composite score: 0.787
Background and Rationale
Valosin-containing protein (VCP), also known as p97, is a highly conserved AAA+ ATPase that plays critical roles in cellular proteostasis and autophagy. This hexameric protein complex is essential for extracting misfolded proteins from the endoplasmic reticulum, facilit
print('No PubMed results for hypothesis SDA-2026-04-02-gap-tau-prop-20260402003221-H004')
No PubMed results for hypothesis SDA-2026-04-02-gap-tau-prop-20260402003221-H004
Hypothesis 7: HSP90-Tau Disaggregation Complex Enhancement¶
Target genes: HSP90AA1 · Composite score: 0.752
Molecular Mechanism and Rationale¶
The heat shock protein 90 (HSP90) chaperone system represents a critical cellular machinery for protein folding, stability, and quality control. HSP90AA1, the inducible cytoplasmic isoform of HSP90, exhibits distinct conformational states that can be alloste
print('No PubMed results for hypothesis h-0f00fd75')
No PubMed results for hypothesis h-0f00fd75
Hypothesis 8: LRP1-Dependent Tau Uptake Disruption¶
Target genes: LRP1 · Composite score: 0.747
Overview
LRP1 (Low-density lipoprotein receptor-related protein 1) functions as a critical gateway receptor mediating the cellular internalization of pathological tau species in Alzheimer's disease. This therapeutic hypothesis proposes developing selective small molecule inhibitors targeting th
print('No PubMed results for hypothesis h-4dd0d19b')
No PubMed results for hypothesis h-4dd0d19b
Hypothesis 9: VCP-Mediated Autophagy Enhancement¶
Target genes: VCP · Composite score: 0.713
Molecular Mechanism and Rationale
The valosin-containing protein (VCP), also known as p97, represents a critical hexameric AAA+ ATPase that orchestrates multiple cellular quality control pathways, including autophagy, endoplasmic reticulum-associated degradation (ERAD), and proteasomal degradat
print('No PubMed results for hypothesis h-18a0fcc6')
No PubMed results for hypothesis h-18a0fcc6
Hypothesis 10: Synaptic Vesicle Tau Capture Inhibition¶
Target genes: SNAP25 · Composite score: 0.644
Molecular Mechanism and Rationale
The synaptic vesicle tau capture inhibition hypothesis centers on the critical role of SNAP25 (Synaptosome-Associated Protein of 25 kDa) in facilitating pathological tau protein uptake at presynaptic terminals during synaptic vesicle recycling processes. SNAP25
print('No PubMed results for hypothesis h-73e29e3a')
No PubMed results for hypothesis h-73e29e3a
Hypothesis 11: Extracellular Vesicle Biogenesis Modulation¶
Target genes: CHMP4B · Composite score: 0.635
Molecular Mechanism and Rationale¶
The endosomal sorting complex required for transport III (ESCRT-III) represents a critical molecular machinery governing the final stages of extracellular vesicle (EV) biogenesis, particularly the formation of multivesicular bodies (MVBs) and subsequent exos
print('No PubMed results for hypothesis h-55ef81c5')
No PubMed results for hypothesis h-55ef81c5
Hypothesis 12: HSP90-Tau Disaggregation Complex Enhancement¶
Target genes: HSP90AA1 · Composite score: 0.634
Background and Rationale
Tauopathies, including Alzheimer's disease, frontotemporal dementia, and progressive supranuclear palsy, are characterized by the pathological aggregation of tau protein into neurofibrillary tangles and other fibrillar deposits. The heat shock protein 90 (HSP90) chapero
print('No PubMed results for hypothesis SDA-2026-04-02-gap-tau-prop-20260402003221-H005')
No PubMed results for hypothesis SDA-2026-04-02-gap-tau-prop-20260402003221-H005
Hypothesis 13: Trans-Synaptic Adhesion Molecule Modulation¶
Target genes: NLGN1 · Composite score: 0.628
Molecular Mechanism and Rationale
The neurexin-neuroligin trans-synaptic adhesion system represents a critical molecular bridge that maintains synaptic integrity while potentially facilitating pathological tau propagation in neurodegenerative diseases. Neuroligin-1 (NLGN1), the primary target o
print('No PubMed results for hypothesis h-fdaae8d9')
No PubMed results for hypothesis h-fdaae8d9
Hypothesis 14: Synaptic Vesicle Tau Capture Inhibition¶
Target genes: SNAP25 · Composite score: 0.547
Background and Rationale
Tau protein aggregation and propagation represent critical pathological mechanisms underlying Alzheimer's disease and other tauopathies. While tau was traditionally viewed as an intracellular microtubule-associated protein, mounting evidence demonstrates that tau can be
print('No PubMed results for hypothesis SDA-2026-04-02-gap-tau-prop-20260402003221-H006')
No PubMed results for hypothesis SDA-2026-04-02-gap-tau-prop-20260402003221-H006
Hypothesis 15: Trans-Synaptic Adhesion Molecule Modulation¶
Target genes: NLGN1 · Composite score: 0.503
Background and Rationale
Synaptic dysfunction represents one of the earliest pathological hallmarks in neurodegenerative diseases, often preceding neuronal death by years or decades. The integrity of synaptic connections relies heavily on trans-synaptic adhesion molecules, which serve as molecu
print('No PubMed results for hypothesis SDA-2026-04-02-gap-tau-prop-20260402003221-H007')
No PubMed results for hypothesis SDA-2026-04-02-gap-tau-prop-20260402003221-H007
8. Knowledge graph edges (136 total)¶
edge_data = [{'source': 'tau_propagation', 'relation': 'contributes_to', 'target': 'alzheimer_disease', 'strength': 0}, {'source': 'HS3ST1', 'relation': 'facilitates', 'target': 'tau_internalization', 'strength': 0}, {'source': 'CTSD', 'relation': 'catalyzes', 'target': 'lysosomal_degradation', 'strength': 0}, {'source': 'TREM2', 'relation': 'mediates', 'target': 'microglial_activation', 'strength': 0}, {'source': 'BIN1', 'relation': 'controls', 'target': 'extracellular_vesicle_traffick', 'strength': 0}, {'source': 'SDC4', 'relation': 'mediates', 'target': 'protein_aggregate_uptake', 'strength': 0}, {'source': 'LAMP1', 'relation': 'stabilizes', 'target': 'lysosomal_membrane', 'strength': 0}, {'source': 'P2RX7', 'relation': 'regulates', 'target': 'exosome_secretion', 'strength': 0}, {'source': 'diseases-corticobasal-syndrome', 'relation': 'investigated_in', 'target': 'SDA-2026-04-02-gap-tau-prop-20', 'strength': 0.75}, {'source': 'LRP1', 'relation': 'Deploy selective small mo', 'target': 'lrp1_tau_interaction', 'strength': 0.72}, {'source': 'LRP1', 'relation': 'Therapeutic target via: L', 'target': 'neurodegeneration', 'strength': 0.72}, {'source': 'VCP', 'relation': 'regulates', 'target': 'VCP-Mediated Autophagy Enhance', 'strength': 0.7}, {'source': 'NLGN1', 'relation': 'regulates', 'target': 'Trans-Synaptic Adhesion Molecu', 'strength': 0.7}, {'source': 'TREM2', 'relation': 'regulates', 'target': 'TREM2-mediated microglial tau ', 'strength': 0.7}, {'source': 'SNAP25', 'relation': 'regulates', 'target': 'Synaptic Vesicle Tau Capture I', 'strength': 0.7}, {'source': 'CHMP4B', 'relation': 'regulates', 'target': 'Extracellular Vesicle Biogenes', 'strength': 0.7}, {'source': 'HSP90AA1', 'relation': 'regulates', 'target': 'HSP90-Tau Disaggregation Compl', 'strength': 0.7}, {'source': 'LRP1', 'relation': 'regulates', 'target': 'LRP1-Dependent Tau Uptake Disr', 'strength': 0.7}, {'source': 'TREM2', 'relation': 'Therapeutic target via: T', 'target': 'neurodegeneration', 'strength': 0.67}, {'source': 'TREM2', 'relation': 'Activate TREM2 signaling ', 'target': 'trem2_tau_interaction', 'strength': 0.67}, {'source': 'lrp1_tau_interaction', 'relation': 'LRP1 modulates tau_propag', 'target': 'tau_propagation', 'strength': 0.65}, {'source': 'Trans-Synaptic Adhesion Molecu', 'relation': 'therapeutic_target', 'target': "Alzheimer's Disease", 'strength': 0.65}, {'source': 'Extracellular Vesicle Biogenes', 'relation': 'therapeutic_target', 'target': "Alzheimer's Disease", 'strength': 0.65}, {'source': 'VCP-Mediated Autophagy Enhance', 'relation': 'therapeutic_target', 'target': "Alzheimer's Disease", 'strength': 0.65}, {'source': 'TREM2-mediated microglial tau ', 'relation': 'therapeutic_target', 'target': "Alzheimer's Disease", 'strength': 0.65}]
if edge_data:
pd.DataFrame(edge_data).head(25)
else:
print('No KG edge data available')
Caveats¶
This notebook uses real Forge tool calls from live APIs:
- Enrichment is against curated gene-set libraries (Enrichr)
- STRING/Reactome/HPA/MyGene reflect curated knowledge
- PubMed literature is search-relevance ranked, not systematic review
The cached evidence bundle is the minimum viable real-data analysis for this topic.