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APP — Amyloid Precursor Protein
APP — Amyloid Precursor Protein
Pathway Diagram
```mermaid
flowchart TD
APP["APP Gene<br/>(Amyloid Precursor Protein)"]
APP -->|"encodes"| APP_protein["APP Protein"]
APP_protein -->|"processed by"| secretases["gamma-secretase and<br/>beta-secretase"]
secretases -->|"produces"| amyloid_beta["Amyloid Beta<br/>('Abeta peptides[')"]
amyloid_beta -->|"aggregates into"| plaques["Amyloid Plaques"]
plaques -->|"triggers"| neuroinflammation["Neuroinflammation"]
plaques -->|"causes"| synaptic_loss["Synaptic<br/>Dysfunction"]
neuroinflammation -->|"leads to"| neurodegeneration["Neurodegeneration"]
synaptic_loss -->|"contributes to"| neurodegeneration
APP -->|"causes"| EOAD["Early-Onset<br/>Alzheimer's Disease"]
APP -->|"causes"| familial_AD["Familial<br/>Alzheimer's Disease"]
neurodegeneration -->|"manifests as"| alzheimer["Alzheimer's<br/>Disease"]
neurodegeneration -->|"associated with"| parkinson["Parkinson's<br/>Disease"]
neurodegeneration -->|"linked to"| ALS["Amyotrophic<br/>Lateral Sclerosis"]
APP -->|"biomarker for"| aging["Aging Process"]
APP -->|"biomarker for"| senescence["Cellular<br/>Senescence"]
APP -->|"therapeutic target"| therapy["Therapeutic<br/>Interventions"]
therapy -->|"aims to reduce"| amyloid_beta
style APP fill:#006494
style therapy fill:#1b5e20
style plaques fill:#ef5350
style neuroinflammation fill:#ef5350
style neurodegeneration fill:#ef5350
style secretases fill:#4a1a6b
style alzheimer fill:#5d4400
style EO
APP — Amyloid Precursor Protein
Pathway Diagram
<table class="infobox infobox-gene">
<tr>
<th class="infobox-header" colspan="2">APP — Amyloid Precursor Protein</th>
</tr>
<tr>
<td class="label">Symbol</td>
<td><strong>APP</strong></td>
</tr>
<tr>
<td class="label">Full Name</td>
<td>Amyloid Precursor Protein</td>
</tr>
<tr>
<td class="label">Chromosome</td>
<td>21q21.3</td>
</tr>
<tr>
<td class="label">NCBI Gene</td>
<td><a href="https://www.ncbi.nlm.nih.gov/gene/351" target="_blank">351</a></td>
</tr>
<tr>
<td class="label">Ensembl</td>
<td><a href="https://ensembl.org/Homo_sapiens/Gene/Summary?g=ENSG00000142192" target="_blank">ENSG00000142192</a></td>
</tr>
<tr>
<td class="label">OMIM</td>
<td><a href="https://omim.org/entry/104760" target="_blank">104760</a></td>
</tr>
<tr>
<td class="label">UniProt</td>
<td><a href="https://www.uniprot.org/uniprot/P05067" target="_blank">P05067</a></td>
</tr>
<tr>
<td class="label">Protein Size</td>
<td>770 amino acids (APP770 isoform)</td>
</tr>
<tr>
<td class="label">Molecular Weight</td>
<td>~110 kDa</td>
</tr>
<tr>
<td class="label">Expression</td>
<td>Ubiquitous, highest in brain</td>
</tr>
<tr>
<td class="label">Diseases</td>
<td>[Alzheimer's Disease](/diseases/alzheimers-disease), [Cerebral Amyloid Angiopathy](/diseases/cerebral-amyloid-angiopathy), [Down Syndrome](/diseases/down-syndrome)</td>
</tr>
<tr>
<td class="label">Associated Diseases</td>
<td><a href="/wiki/ad" style="color:#ef9a9a">AD</a>, <a href="/wiki/als" style="color:#ef9a9a">ALS</a>, <a href="/wiki/alzheimer" style="color:#ef9a9a">ALZHEIMER</a>, <a href="/wiki/alzheimer-disease" style="color:#ef9a9a">ALZHEIMER DISEASE</a>, <a href="/wiki/alzheimer's" style="color:#ef9a9a">ALZHEIMER'S</a></td>
</tr>
<tr>
<td class="label">KG Connections</td>
<td><a href="/atlas" style="color:#4fc3f7">1979 edges</a></td>
</tr>
</table>
APP — Amyloid Precursor Protein
Overview
APP (Amyloid Precursor Protein) is a gene located on chromosome 21q21.3 that encodes a type I transmembrane protein critical for neuronal health and central to the pathogenesis of Alzheimer's disease (AD) and related neurodegenerative disorders[@kang1987]. The APP protein is sequentially cleaved by alpha-, beta-, and gamma-secretases through two mutually exclusive proteolytic pathways, generating various peptide fragments including amyloid-beta (Aβ) peptides when processed via the amyloidogenic pathway[@citron1992].
The amyloid cascade hypothesis, first proposed in 1992, posits that accumulation of Aβ peptides in the brain triggers a cascade of pathological events including neurofibrillary tangle formation, synaptic loss, and neuronal death[@hardy1992]. While this hypothesis has undergone significant refinement over decades of research, APP and its proteolytic processing remain central to AD therapeutic strategies.
APP is one of the most intensively studied genes in neuroscience due to its pivotal role in neurodegeneration. Triplication of APP on chromosome 21 in Down syndrome leads to early-onset AD pathology, providing human genetic evidence for APP's causal role in amyloid deposition[@head2016].
Molecular Biology of APP
Gene Structure and Isoforms
The APP gene spans approximately 350 kb and consists of 18 exons. Alternative splicing generates multiple isoforms:
- APP770: Full-length isoform containing the KPI domain and exon 15, widely expressed
- APP751: Includes KPI domain, expressed in most tissues
- APP695: Neuron-specific isoform lacking KPI domains, predominant in brain
The APP protein contains several functional domains:
Extracellular domain:
- N-terminal signal peptide
- Copper-binding domain (CuBD)
- KPI domain (Kunitz-type protease inhibitor)
- Amyloid-beta (Aβ) region (residues 681-770)
- Single pass transmembrane helix
- Site of gamma-secretase cleavage
- Intracellular signaling domain
- Tyrosine-based sorting motifs
- C-terminal interaction sites
APP Processing Pathways
APP undergoes proteolytic processing through two mutually exclusive pathways[@vassar1999][@wolfe2009]:
Amyloidogenic Pathway (Aβ-Generating)
This pathway generates Aβ peptides through sequential cleavage:
The Aβ40 peptide (40 amino acids) is the predominant species generated (~90%), while Aβ42 has greater aggregation propensity and is the primary constituent of amyloid plaques. Longer species (Aβ43, Aβ45) are also produced but less abundant.
Non-Amyloidogenic Pathway (Aβ-Preventing)
This pathway precludes Aβ formation:
This pathway is considered neuroprotective and is the target of some therapeutic strategies aimed at shifting APP processing away from amyloidogenic toward non-amyloidogenic processing.
Normal Physiological Functions
Beyond its central role in AD pathogenesis, APP serves important normal physiological functions[@mller2014]:
Synaptic Function and Plasticity
APP is highly expressed in synaptic compartments and participates in synaptic formation, maintenance, and plasticity:
- Regulates synaptic structure and function
- Involved in long-term potentiation (LTP)
- Mediates excitatory synaptic transmission
- Supports dendritic spine morphology
- Functions as a synaptic adhesion molecule
Neuronal Development
During brain development, APP regulates:
- Neuronal migration
- Axonal growth and guidance
- Synaptogenesis
- Myelin formation
- Neuronal survival through neurotrophic signaling
Metal Ion Binding and Homeostasis
APP binds copper (Cu+) and zinc (Zn2+) ions through its N-terminal copper-binding domain:
- Plays roles in metal ion homeostasis
- Antioxidant responses through copper sequestration
- Cellular redox regulation
Cell Adhesion and Signaling
APP functions as a synaptic adhesion molecule, participating in:
- Neuronal survival signaling through interaction with Frizzled receptors
- Synaptic contact formation
- Membrane protein interactions
- Regulation of cell proliferation
Peripheral Tissue Functions
In non-neural tissues, APP is expressed at lower levels and functions in:
- Platelet activation and wound healing
- Muscle development
- Iron export (in conjunction with ferroportin)
APP in Alzheimer's Disease
Amyloid Cascade Hypothesis
The amyloid cascade hypothesis remains foundational to AD pathogenesis research[@hardy1992][@selkoe2024]:
While the hypothesis has been refined—acknowledging that soluble Aβ oligomers rather than plaques may be the toxic species—the central role of APP/Aβ in AD remains well-established.
APP Mutations in Familial AD
Over 50 pathogenic APP mutations cause autosomal dominant Alzheimer's disease (ADAD)[@ryman2015]:
| Mutation | Location | Effect |
|----------|----------|--------|
| Swedish (KM670/671NL) | Beta-secretase site | Increases Aβ production 3-6 fold |
| London (V717I) | Gamma-secretase site | Shifts Aβ42/Aβ40 ratio toward Aβ42 |
| Arctic (E693G) | Aβ domain | Enhances Aβ protofibril formation |
| Flemish (A692G) | Alpha-secretase site | Increases Aβ production |
| Iowa (D694N) | Aβ domain | Promotes aggregation |
These mutations provide direct genetic evidence linking APP to AD pathogenesis and have been instrumental in developing therapeutic strategies.
Down Syndrome and APP
Individuals with Down syndrome (trisomy 21) develop early-onset AD pathology by age 40-50 due to APP gene dosage effect[@head2016]:
- APP triplication leads to approximately 1.5-fold increase in Aβ production
- Aβ deposition begins in the third decade of life
- Nearly all individuals with DS develop AD-type pathology by age 60
- Provides human genetic model for APP-induced neurodegeneration
APP in Other Neurodegenerative Diseases
Cerebral Amyloid Angiopathy (CAA)
APP mutations cause hereditary cerebral amyloid angiopathy characterized by[@revesz2019]:
- Aβ deposition in cerebral blood vessel walls (predominantly Aβ40)
- Recurrent hemorrhagic strokes
- Cognitive decline
- Dutch type (E693Q) and Iowa type (D694N) mutations
Parkinson's Disease
Emerging evidence links APP to [Parkinson's disease](/diseases/parkinsons-disease)[@tsao2022]:
- Increased APP expression in PD substantia nigra
- Aβ colocalization with Lewy bodies in some cases
- APP promoter variants associated with PD risk
- Interactions between APP processing and alpha-synuclein pathology
Traumatic Brain Injury
Chronic traumatic encephalopathy (CTE) shows[@wang2024]:
- Increased APP expression following head trauma
- Aβ accumulation in athletes with repetitive brain injury
- May represent a second hit that accelerates neurodegeneration
Other Disorders
- Huntington's Disease: Altered APP processing may contribute to neurodegeneration
- Amyotrophic Lateral Sclerosis: APP expression changes in motor neurons
- Frontotemporal Dementia: Some cases show Aβ comorbidity
Therapeutic Targeting
Secretase Modulators
Beta-secretase (BACE1) inhibitors: Multiple BACE1 inhibitors reached clinical trials but were discontinued due to adverse effects[@haass2022]:
- Verubecestat: Discontinued due to cognitive worsening
- Lanabecestat: Halted for safety concerns
- Umibecestat: Stopped for cognitive decline
The failure of BACE1 inhibitors highlights the importance of APP's normal physiological functions and suggests that complete inhibition may be deleterious.
Alpha-secretase activators: ADAM10 activation represents a therapeutic approach to shift APP processing toward the non-amyloidogenic pathway, though clinical development remains challenging.
Anti-Aβ Immunotherapy
Active and passive immunization approaches targeting Aβ have shown clinical success[@van2023]:
Monoclonal antibodies:
- [Lecanemab](/therapeutics/lecanemab): FDA-approved, reduces brain amyloid
- [Donanemab](/therapeutics/donaneumab): FDA-approved, removes plaques
- Aducanumab: FDA-approved, controversial efficacy
- Promote amyloid plaque clearance
- Reduce soluble Aβ oligomers
- May modulate microglial activation
- ARIA (Amyloid-Related Imaging Abnormalities)
- Amyloid-related edema (ARIA-E)
- Microhemorrhages (ARIA-H)
APP-Targeting Approaches
Emerging strategies include:
- Small molecules modulating APP trafficking
- Gene therapy approaches
- RNA interference targeting APP expression
- Vaccine development targeting multiple Aβ species
Disease-Modifying Strategies
Given the central role of APP/Aβ, several approaches aim to intervene at different points:
| Target | Strategy | Status |
|--------|----------|--------|
| Aβ production | BACE1 inhibitors | Discontinued |
| Aβ aggregation | Aggregation inhibitors | Preclinical |
| Aβ clearance | Immunotherapy | FDA approved |
| APP expression | Gene therapy | Investigational |
APP Family and Splice Variants
The APP gene family includes:
- APP: The canonical gene discussed here
- APLP1 (Amyloid Precursor-Like Protein 1)
- APLP2 (Amyloid Precursor-Like Protein 2)
APP undergoes alternative splicing, generating multiple isoforms:
- APP695: Neuron-specific, lacking KPI domain
- APP751: Including KPI domain
- APP770: Full-length with both KPI and exon 15
APLP family members share functional domains but lack the Aβ sequence and cannot generate amyloid peptides.
Brain Expression Pattern
APP exhibits region-specific expression throughout the brain:
| Brain Region | Expression Level | Cell Type |
|--------------|-----------------|-----------|
| Cerebral Cortex | Very High | Pyramidal neurons |
| Hippocampus | Very High | CA1-CA3 pyramidal cells |
| Basal Forebrain | High | Cholinergic neurons |
| Cerebellum | Moderate | Purkinje cells |
| Substantia Nigra | Moderate | Dopaminergic neurons |
Expression data from the [Allen Human Brain Atlas](https://human.brain-map.org/microarray/search/show?search_term=APP) confirms highest expression in cortical and hippocampal regions vulnerable to AD pathology.
Single-Cell Expression
APP is expressed in multiple neuronal and glial cell types:
- Glutamatergic neurons (highest)
- GABAergic neurons
- Oligodendrocyte precursors
- [Astrocytes](/cell-types/astrocytes) Microglia (lower levels)
Interaction Network
APP interacts with numerous proteins relevant to neurodegeneration:
| Partner | Interaction Type | Relevance |
|---------|-----------------|-----------|
| BACE1 | Proteolytic cleavage | Aβ generation |
| ADAM10 | Proteolytic cleavage | Non-amyloidogenic |
| PSEN1/2 | Proteolytic cleavage | Gamma-secretase |
| Frizzled | Signaling | Wnt modulation |
| Cu/Zn ions | Metal binding | Redox regulation |
| LDL receptor family | Endocytosis | Aβ clearance |
Biomarker Potential
APP Metabolites as Biomarkers
APP processing products serve as diagnostic biomarkers:
CSF biomarkers:
- sAPPα and sAPPβ: Markers of alpha- and beta-secretase activity
- Aβ42/Aβ40 ratio: Diagnostic for AD
- Total tau and phospho-tau: Neurodegeneration markers
- Amyloid PET: Visualizes plaque burden
- Florbetapir, Florbetaben: FDA-approved tracers
- Aβ42/Aβ40 ratio: Emerging blood test
- p-tau181, p-tau217: Phosphorylated tau fragments
Research Tools and Resources
Mouse Models
| Model | Description | Application |
|-------|-------------|-------------|
| APP/PS1 | Double transgenic | Amyloid pathology |
| 5xFAD | Five mutations | Aggressive AD model |
| APP knock-in | Humanized Aβ | Physiological model |
| APP KO | Complete knockout | Function studies |
Cell Lines
- SH-SY5Y: Neuroblastoma, expresses APP
- HEK293: Frequently used for APP processing studies
- Primary neurons: Cortical and hippocampal cultures
- iPSC-derived neurons: Patient-specific models
Clinical Considerations
Diagnosis
APP-related biomarkers inform AD diagnosis:
- Decreased CSF Aβ42 correlates with plaque burden
- Increased CSF sAPPβ indicates BACE1 activity
- PET amyloid positivity precedes clinical symptoms
Treatment Response
Therapeutic efficacy is monitored through:
- Amyloid PET reduction
- CSF Aβ42 changes
- Clinical outcome measures
- ARIA monitoring for immunotherapy
Prevention
Given APP's central role, prevention strategies include:
- Lifestyle modifications reducing vascular risk
- Early amyloid detection
- Potential prophylactic immunotherapy (in development)
Genetic Epidemiology
APP Mutations and Population Genetics
The APP gene shows significant variation across populations:
Pathogenic mutations: Over 50 pathogenic variants have been identified, predominantly in families with early-onset autosomal dominant AD. These mutations cluster around the secretase cleavage sites and Aβ coding region.
Risk variants: Genome-wide association studies have identified common variants near APP that influence AD risk:
- SNPs in the APP promoter region affect expression levels
- Variants in regulatory elements may modify risk
- Population-specific effects require further study
- APP duplication causes autosomal dominant early-onset AD (ADAD)
- Down syndrome (trisomy 21) provides natural model of APP overdose
- Triplication alone is sufficient for Aβ deposition
Founder Effects
Several APP mutations show founder effects:
- Swedish family: KM670/671NL mutation in large Swedish kindred
- Volga German families: Multiple PSEN1 and APP mutations in families of German ancestry
- British families: APP V717I mutation in British families with AD
Cellular Mechanisms
APP Trafficking and Processing
The subcellular localization of APP determines its processing pathway:
Secretory pathway: APP is synthesized in the endoplasmic reticulum and travels through the Golgi apparatus to the plasma membrane. Surface APP can be internalized and routed to endosomes where beta-secretase activity is highest.
Endosomal sorting: BACE1 localizes primarily to endosomes, making this compartment the primary site of amyloidogenic processing. The intracellular domain of APP contains sorting motifs that direct this trafficking.
Synaptic APP: At synapses, APP accumulates in pre-synaptic vesicles and is released activity-dependently, potentially serving as a signaling molecule.
Aβ Aggregation
The aggregation of Aβ into oligomers and plaques represents a critical pathological process:
Nucleation: Aβ monomers aggregate into oligomers, which serve as nuclei for further aggregation.
Oligomer toxicity: Soluble Aβ oligomers (rather than plaques) are considered the most toxic species, disrupting synaptic function and causing neuronal dysfunction.
Plaque formation: As aggregation proceeds, insoluble fibrils form and deposit as plaques. Plaques may represent a protective mechanism, sequestering toxic oligomers.
APP and Calcium Homeostasis
APP processing affects cellular calcium signaling:
- Gamma-secretase cleavage releases the APP intracellular domain, which can influence calcium channel expression
- Aβ can form calcium-permeable pores in membranes
- Calcium dysregulation contributes to synaptic dysfunction
APP and Mitochondrial Function
Aβ accumulates in mitochondria and contributes to:
- Mitochondrial dysfunction
- Oxidative stress
- Energy deficits
- Apoptosis induction
Neuroimmunology
APP and Microglial Activation
The relationship between APP and microglia is bidirectional:
Microglial receptors for Aβ:
- RAGE (Receptor for Advanced Glycation Endproducts) binds Aβ and triggers inflammation
- TLR4 (Toll-like Receptor 4) recognizes Aβ and activates innate immunity
- CD36 contributes to Aβ-induced inflammatory responses
- Microglia can phagocytose Aβ
- TREM2 on microglia promotes Aβ clearance
- Impaired clearance contributes to plaque accumulation
Inflammatory cytokines influence APP processing:
- TNF-α increases BACE1 expression
- IL-1β modulates APP transcription
- Chronic inflammation may accelerate pathology
APP in Neuroinflammation
Aβ triggers inflammatory responses:
- Cytokine release (IL-1β, IL-6, TNF-α)
- Reactive oxygen species generation
- Complement activation
- Chronic neuroinflammation
Therapeutic Challenges
Lessons from Clinical Trials
The history of APP-targeted therapy provides crucial insights:
BACE1 inhibitor failures: The discontinuation of multiple BACE1 inhibitors due to cognitive worsening taught important lessons:
- BACE1 has essential physiological functions
- Complete inhibition is detrimental
- Timing of intervention may be critical
- Biomarker-driven patient selection needed
- Amyloid removal is achievable
- Clinical benefit is modest
- ARIA is a significant adverse effect
- Early intervention may be more effective
Combination Therapy
Future approaches may combine:
- Anti-amyloid and anti-tau therapies
- Immunotherapy with small molecules
- Targeting neuroinflammation
- Symptomatic treatments
Personalized Medicine
Approaches to personalized APP-targeted therapy:
- Genetic testing for APP mutations
- Biomarker stratification
- Age at intervention optimization
- Polygenic risk scores
See Also
- [Amyloid-beta Protein](/proteins/amyloid-beta)
- [Alzheimer's Disease](/diseases/alzheimers-disease)
- [Cerebral Amyloid Angiopathy](/diseases/cerebral-amyloid-angiopathy)
- [BACE1](/proteins/bace1)
- [Gamma-secretase](/proteins/gamma-secretase)
- [Tau Protein](/proteins/tau)
- [Down Syndrome](/diseases/down-syndrome)
External Links
- [NCBI Gene](https://www.ncbi.nlm.nih.gov/gene/351)
- [Ensembl](https://ensembl.org/Homo_sapiens/Gene/Summary?g=ENSG00000142192)
- [OMIM](https://omim.org/entry/104760)
- [UniProt](https://www.uniprot.org/uniprot/P05067)
- [Allen Human Brain Atlas - APP](https://human.brain-map.org/microarray/search/show?search_term=APP)
- [Alzheimer's Disease Neuroimaging Initiative](https://adni.loni.usc.edu/)
Related Hypotheses
From the [SciDEX Exchange](/exchange) — scored by multi-agent debate
- [Context-Dependent CRISPR Activation in Specific Neuronal Subtypes](/hypothesis/h-63b7bacd) — <span style="color:#81c784;font-weight:600">0.62</span> · Target: Cell-type-specific essential genes
- [Trinucleotide Repeat Sequestration via CRISPR-Guided RNA Targeting](/hypothesis/h-3a4f2027) — <span style="color:#ffd54f;font-weight:600">0.59</span> · Target: HTT, DMPK, repeat-containing transcripts
- [Epigenetic Memory Reprogramming for Alzheimer's Disease](/hypothesis/h-29ef94d5) — <span style="color:#ffd54f;font-weight:600">0.55</span> · Target: BDNF, CREB1, synaptic plasticity genes
- [Cholesterol-CRISPR Convergence Therapy for Neurodegeneration](/hypothesis/h-a87702b6) — <span style="color:#ffd54f;font-weight:600">0.55</span> · Target: HMGCR, LDLR, APOE regulatory regions
- [Metabolic Reprogramming via Coordinated Multi-Gene CRISPR Circuits](/hypothesis/h-827a821b) — <span style="color:#ffd54f;font-weight:600">0.53</span> · Target: PGC1A, SIRT1, FOXO3, mitochondrial biogenesis genes
- [Programmable Neuronal Circuit Repair via Epigenetic CRISPR](/hypothesis/h-9d22b570) — <span style="color:#ffd54f;font-weight:600">0.45</span> · Target: NURR1, PITX3, neuronal identity transcription factors
- [Multi-Modal CRISPR Platform for Simultaneous Editing and Monitoring](/hypothesis/h-e23f05fb) — <span style="color:#ffd54f;font-weight:600">0.42</span> · Target: Disease-causing mutations with integrated reporters
Related Analyses:
- [CRISPR-based therapeutic approaches for neurodegenerative diseases](/analysis/SDA-2026-04-02-gap-crispr-neurodegeneration-20260402) 🔄
Pathway Diagram
The following diagram shows the key molecular relationships involving APP — Amyloid Precursor Protein discovered through SciDEX knowledge graph analysis:
Associated Diseases
- Als — associated with
- ALS — associated with
- Alzheimer — associated with
- Alzheimer disease — causes
- Alzheimer's disease — associated with
- Alzheimer's Disease — causes
- Alzheimer'S Disease — biomarker for
- Amyotrophic Lateral Sclerosis — causes
- Autosomal Dominant Alzheimer's Disease — causes
- dementia — associated with
- Dementia — associated with
- Familial Alzheimer's Disease — associated with
- frontotemporal dementia — associated with
- Frontotemporal Dementia — causes
- Parkinson — associated with
- Parkinson's disease — associated with
- PARKINSON'S DISEASE — associated with
- Parkinson's Disease with Dementia — implicated in
▸Metadataorigin_type: v1_polymorphic_backfill
| slug | genes-app |
| kg_node_id | APP |
| entity_type | gene |
| origin_type | v1_polymorphic_backfill |
| source_table | wiki_pages |
| wiki_page_id | wp-8e432bc7b3c6 |
| __merged_from | {'merged_at': '2026-05-13', 'unprefixed_id': 'genes-app'} |
| _schema_version | 1 |
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