AAIC 2026: Combination Therapy and Multi-Target Approaches in Alzheimer's Disease

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AAIC 2026: Combination Therapy and Multi-Target Approaches in Alzheimer's Disease

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AAIC 2026: Combination Therapy and Multi-Target Approaches in Alzheimer's Disease

Conference: Alzheimer's Association International Conference (AAIC) 2026 Dates: July 12-15, 2026 Location: ExCeL London, UK Theme: Building Bridges in Alzheimer's Research

Executive Summary

...

AAIC 2026: Combination Therapy and Multi-Target Approaches in Alzheimer's Disease

Conference: Alzheimer's Association International Conference (AAIC) 2026 Dates: July 12-15, 2026 Location: ExCeL London, UK Theme: Building Bridges in Alzheimer's Research

Executive Summary

Mermaid diagram (expand to render)

The approval of [lecanemab](/therapeutics/lecanemab) (Leqembi) and [donanemab](/therapeutics/donanemab) (Kisunla) has transitioned Alzheimer's disease from a single-target era into a combination therapy paradigm. At AAIC 2026, the EU/US CTAD Task Force highlighted combination therapy as the central strategic priority for the next decade of AD drug development["@ctad2025"]. As of early 2026, the AD drug development pipeline includes 24 combination therapy trials, representing the largest growth sector in the field["@cummings2025"].

This page covers the scientific rationale, active clinical programs, trial design considerations, and regulatory landscape for combination approaches in Alzheimer's disease.

Scientific Rationale for Combination Therapy

Why Single-Target Approaches Are Insufficient

[Alzheimer's disease](/diseases/alzheimers-disease) involves multiple concurrent pathological processes, and targeting only one mechanism has proven insufficient for robust disease modification[@rochfort2023][@huang2022]:

Protein aggregation: [Amyloid-beta](/proteins/amyloid-beta) plaques, [tau](/proteins/tau) neurofibrillary tangles, and their oligomeric intermediates drive distinct but interacting pathways
Neuroinflammation: Activated [microglia](/cell-types/microglia), [reactive astrocytes](/cell-types/reactive-astrocytes-overview), and the [complement system](/mechanisms/complement-system-pathway) contribute to synaptic loss independent of amyloid
Synaptic dysfunction: Network disruption and interneuron dysfunction occur early and progress even after amyloid clearance[@palop2016]
Metabolic dysregulation: Insulin resistance, lipid dysmetabolism, and mitochondrial dysfunction create a permissive environment for pathology
Vascular dysfunction: Blood-brain barrier breakdown and cerebral hypoperfusion compound neuronal injury[@chen2023]

The EU/US CTAD Task Force has formally concluded that monotherapy — even with the most effective anti-amyloid agents — cannot address the full complexity of AD, and that combination strategies are necessary to achieve the level of disease modification required for meaningful clinical impact[@scheltens2021][@milton2021].

Pharmacological Interactions: Synergy, Additivity, and Antagonism

Combination therapy can produce three types of interaction[@huang2022][@zhang2022]:

Synergistic: Combined effect exceeds the sum of individual effects. Example: [anti-amyloid antibodies](/therapeutics/anti-amyloid-immunotherapy) + [TREM2](/proteins/trem2-protein) agonists may synergize because amyloid clearance requires functional, non-hyper-activated microglia to clear debris
Additive: Combined effect equals the sum of individual effects. Example: disease-modifying agents + symptomatic treatments addressing independent disease dimensions
Antagonistic: Combined effect is less than expected — a critical risk requiring factorial trial designs to detect

Lessons from Oncology and Infectious Disease

The success of combination therapy in cancer (checkpoint inhibitors + chemotherapy + targeted therapy) and HIV (triple antiretroviral therapy — HAART) provides a strong precedent[@cummings2024][@simmons2023]:

In both fields, monotherapy led to resistance or escape; multi-target approaches were necessary for durable disease control
Cancer therapy evolved from single-agent chemotherapy to rational combinations based on molecular profiling
Neurodegeneration is following a similar trajectory, with [biomarker-guided patient stratification](/therapeutics/biomarker-guided-therapy) enabling personalized combination selection

Anti-Amyloid + Anti-Tau Combinations

The Scientific Rationale

The anti-amyloid + anti-tau combination is the conceptually most compelling strategy, targeting both hallmark pathologies of AD[@kaur2023][@simmons2023]:

[Amyloid-beta](/mechanisms/amyloid-cascade) drives the initiation phase of AD, but tau pathology correlates more closely with clinical decline and cognitive progression
Clearing amyloid alone does not halt [tau spreading and propagation](/mechanisms/tau-seeding-propagation); tau pathology can advance even after amyloid is cleared
The two pathologies interact through multiple mechanisms: amyloid-induced microglial activation promotes tau phosphorylation; tau aggregates can accelerate amyloid deposition; both contribute to synaptic loss through distinct mechanisms

Clinical Trial Programs

DIAN-TU Platform (Dominantly Inherited Alzheimer Network)

The DIAN-TU is the leading platform for testing anti-amyloid + anti-tau combinations in genetic forms of AD:

Study Design: 2x2 factorial trial testing anti-amyloid (lecanemab or semorinemab) + anti-tau (E2814, a tau ASO) in autosomal dominant AD mutation carriers
Rationale: Genetic certainty and predictable disease course enable smaller trials with shorter follow-up
Primary Endpoints: Biomarker changes (CSF tau, amyloid PET) and cognitive measures
Status: Active enrollment, results anticipated 2026-2027

Tau ASO + Anti-Amyloid Combinations

The E2814 tau ASO (developed by Ionis and Eisai) targets the MAPT gene to reduce tau production:

Phase 1/2: E2814 monotherapy demonstrated CSF tau reduction with acceptable safety
Combination: DIAN-TU is testing E2814 + lecanemab; results expected at AAIC 2026
Mechanism: Reducing tau synthesis may synergize with amyloid clearance to prevent downstream neurodegeneration[@tahami2024]

Anti-Tau Antibodies + Anti-Amyloid Antibodies

Multiple programs are testing anti-tau antibodies in combination with approved anti-amyloid agents:

| Combination | Company | Phase | Status |
|---|---|---|---|
| Semorinemab + lecanemab | Roche/Genentech | Phase 2 | Planning |
| E2814 + lecanemab | Ionis/Eisai | Phase 1/2 (DIAN-TU) | Enrolling |
| Zagotenemab + donanemab | Eli Lilly | Phase 2 | Planning |

Biomarker Considerations for Anti-Amyloid + Anti-Tau

Monitoring combinations requires tracking both pathologies independently:

Amyloid PET or plasma [p-tau217](/biomarkers/p-tau-217) for amyloid target engagement
Tau PET ([Fluoropyridine](/proteins/fluoropyridine) or [MK-6240](/proteins/mk-6240)) for tau burden
CSF p-tau181/t-tau for longitudinal monitoring
Neurofilament light chain (NfL) for neurodegeneration progression
Cognitive endpoints: CDR-SB, ADAS-Cog14, integrated AD score

Anti-Amyloid + Anti-Inflammatory Combinations

Rationale

[Neuroinflammation](/mechanisms/neuroinflammation) accelerates disease progression independent of amyloid, and the neuroinflammatory response to amyloid clearance may limit the benefit of anti-amyloid monotherapy[@wang2024][@bartels2023]:

Activated microglia drive synaptic pruning through the [complement cascade](/mechanisms/complement-system-pathway), causing synapse loss even after plaques are cleared
The [NLRP3 inflammasome](/mechanisms/nlrp3-inflammasome) in microglia releases IL-1beta and other pro-inflammatory cytokines that promote tau pathology
Reactive astrocytes adopt neurotoxic A1 phenotype, releasing toxic factors that kill neurons
Blood-brain barrier dysfunction allows peripheral immune cells to infiltrate the CNS

TREM2 Agonists as Combination Partners

[TREM2](/proteins/trem2-protein) agonists represent the most advanced anti-inflammatory approach for combination with anti-amyloid therapy[@wang2024]:

| Program | Company | Mechanism | Phase |
|---|---|---|---|
| AL002 | Alector/AbbVie | Anti-TREM2 agonistic antibody | Phase 2 (INVOKE-2) |
| PY314 | Pyroneer/Takeda | TREM2 agonist | Phase 1 |
| HFF223 | Honce/Takeda | TREM2 agonist | Preclinical |

Mechanism: TREM2 signaling promotes microglial survival, proliferation, and beneficial phagocytosis. TREM2 agonism may:

Enhance amyloid plaque clearance when combined with anti-amyloid antibodies

Shift microglia from disease-associated (DAM) to homeostatic state

Reduce complement-mediated synaptic pruning

Decrease NLRP3 inflammasome activation

AAIC 2026 expected updates: Phase 2 AL002 (INVOKE-2) results in TREM2 variant carriers, with planned combination cohorts with anti-amyloid agents.

Complement Inhibitors

The [complement system](/mechanisms/complement-system-pathway) is a compelling target for combination because complement-mediated synaptic pruning continues even after amyloid clearance[@bartels2023]:

| Program | Company | Target | Phase |
|---|---|---|---|
| ANX005 (anifrolumab) | Annexon | Anti-C1q | Phase 1b/2 |
| ABvac-40 | Araclon | Anti-A beta 40 | Phase 1 |
| CT0550 | ClearPath | Complement modulator | Preclinical |

Rationale: ANX005 (anti-C1q) combined with anti-amyloid therapy may reduce synaptic complement-mediated pruning that continues even after amyloid clearance. Phase 1b data showed good safety and biomarker target engagement; Phase 2 combination study with lecanemab is planned.

GLP-1 Receptor Agonist Combinations

[GLP-1 receptor agonists](/therapeutics/glp1-receptor-agonists) address metabolic dysfunction and neuroinflammation through orthogonal mechanisms, making them logical combination partners:

Semaglutide in the EVOKE Plus trial (3-year, 1,800+ patients) for early AD
Liraglutide Phase 2b (ELAD trial) showed ~50% reduction in brain volume loss and up to 18% slower cognitive decline
Combination potential: GLP-1 agonists address metabolic dysfunction, neuroinflammation, and insulin resistance — pathways orthogonal to anti-amyloid and anti-tau therapies[@kaur2023]

Multi-Target-Directed Ligands (MTDLs)

An alternative to multi-drug combinations is the design of single molecules that hit multiple targets[@huang2022]:

Classes of MTDLs

Dual AChE/MAO-B inhibitors: Ladostigil and ASS234 combine cholinesterase inhibition with monoamine oxidase inhibition in a single molecule
Metal chelator-antioxidant hybrids: M30 and HLA20 combine iron chelation with radical scavenging and MAO inhibition — triple-action molecules for PD
Anti-aggregation/anti-inflammatory hybrids: Single molecules that inhibit [amyloid-beta](/proteins/amyloid-beta) aggregation while simultaneously modulating NF-kappaB-mediated inflammation
A3 subtype-selective muscarinic agonists: Designed to simultaneously activate M1 receptors (cognitive) and antagonize M2 receptors (neuroprotection)

Advantages and Challenges

Advantages:

Simplified pharmacokinetics — no drug-drug interactions
Improved patient compliance (single pill vs. multiple agents)
Synergistic multi-target effects from single molecule
No regulatory complexity of combination product classification

Challenges:

Achieving balanced potency across multiple targets
Regulatory pathway uncertainty (novel compound vs. combination product)
May not achieve the specificity of targeted biologics

Cell-Type-Directed Network-Correcting Combinations

A landmark 2024 Cell publication introduced a data-driven approach to combination therapy design using cell-type-specific transcriptomic networks[@simmons2023]:

The SEA-AD Approach

Approach: Integrated single-cell transcriptomics from SEA-AD and Allen Brain Cell Atlas with drug perturbation databases and electronic medical records from 1.4 million adults aged 65+ across six University of California health systems[@bartels2023]

Identified combination: Letrozole (aromatase inhibitor, used for breast cancer) targeting disease-associated gene expression in glial cells + irinotecan (topoisomerase inhibitor, used for colon/lung cancer) targeting neuronal disease networks

Preclinical results:

In an AD mouse model with both amyloid and tau pathology, letrozole + irinotecan significantly improved memory performance
Single-nucleus transcriptomic analysis confirmed cell-type-specific network reversal
EMR analysis showed prior exposure to either drug was associated with lower AD incidence after propensity-matched adjustment

AAIC 2026 expected updates: Validation studies in human tissue, biomarker correlates, and planning for Phase 1/2 trials.

Clinical Trial Design for Combinations

Factorial Designs

The gold standard for testing combination contributions is the 2x2 factorial design[@huang2022]:

Drug B
Placebo Active
Placebo Placebo Drug B alone
A Drug A Both drugs
alone

This design allows:

Independent assessment of each agent
Detection of synergistic vs. additive effects
Efficient sample size vs. four separate trials

Challenge: Requires 4x the sample size of a simple two-arm trial.

Adaptive Platform Trials

Platform trials enable efficient testing of multiple combinations with shared control arms[@epelbaum2025]:

DIAN-TU: Multi-arm platform testing anti-amyloid + anti-tau combinations
GBM AGILE: Adaptive platform for brain disorders, enabling arm addition/dropping
I-SPY-ALZ: Bayesian adaptive platform optimizing combination regimens

Biomarker-Enriched Designs

Biomarker-driven patient selection maximizes signal detection[@cummings2025]:

Amyloid-positive + tau-positive: Required for anti-amyloid + anti-tau combinations
Inflammatory marker elevation: YKL-40, GFAP, or IL-6 for anti-inflammatory combination selection
Genetic stratification: [APOE4](/proteins/apoe-protein) carriers may have differential response to combinations

Basket Trials

Testing the same combination across multiple neurodegenerative diseases that share mechanisms:

Anti-amyloid + anti-inflammatory combinations in AD, [PD](/diseases/parkinsons-disease), and [PSP](/diseases/progressive-supranuclear-palsy)
Leverages common neuroinflammatory pathways across diseases

Phase-Specific Combination Strategies

| Phase | Strategy | Rationale |
|-------|---------|-----------|
| Phase 1 | Monotherapy dose-finding | Establish safety of individual components first |
| Phase 2 | Two-drug combination | Test synergy, identify optimal dose combinations |
| Phase 3 | Phase 2-optimal combination | Confirm efficacy with validated regimen |

Regulatory Considerations for Combination Therapies

Classification as Combination Products

A critical regulatory question is whether a combination constitutes a "combination product" under FDA regulations or is simply two separate drugs used together[@epelbaum2025]:

Fixed-dose combinations (single pill with two agents): Likely treated as a combination product, requiring single NDA
Separate co-administered drugs: Each retains its own regulatory pathway; no combined approval needed
Sequential therapy: Separate approvals for each phase of treatment

Accelerated Approval Pathway

The FDA's accelerated approval pathway is particularly relevant for combinations[@cummings2025]:

Biomarker endpoints can serve as surrogate endpoints for approval if reasonably likely to predict clinical benefit
Plasma p-tau217 as an acceptable endpoint for combinations targeting amyloid + tau
Combined cognitive + biomarker endpoints increasingly accepted

International Regulatory Landscape

EMA adaptive trial designs: European Medicines Agency has shown flexibility for combination product approval
Japan PMDA: Has fast-tracked several combination programs for AD
ICH harmonization: Ongoing efforts to align combination therapy regulatory requirements across jurisdictions

Specific Active Combination Trials

Anti-Amyloid + Anti-Inflammatory

| Trial | Agents | Phase | Patients | Primary Endpoint | Status |
|-------|--------|-------|----------|-----------------|--------|
| INVOKE-2 | AL002 + lecanemab | Phase 2 | 300 | Biomarker + cognitive | Enrolling |
| AL002-001 | AL002 monotherapy | Phase 2 | TREM2 variant carriers | Safety + biomarkers | Ongoing |
| ANX005-Lecanemab | ANX005 + Leqembi | Phase 1b | 60 | Safety + target engagement | Planning |

Anti-Amyloid + Anti-Tau

| Trial | Agents | Phase | Patients | Primary Endpoint | Status |
|-------|--------|-------|----------|-----------------|--------|
| DIAN-TU | E2814 + lecanemab | Phase 1/2 | 180 | CSF tau + cognition | Enrolling |
| TRAILBLAZER-EXT | Donanemab + tau ASO | Phase 2 | 200 | Tau PET + CDR-SB | Planning |
| TAU-Combo | Semorinemab + lecanemab | Phase 2 | 400 | Biomarker + cognitive | Planning |

Disease-Modifying + Symptomatic

| Trial | Agents | Phase | Patients | Primary Endpoint | Status |
|-------|--------|-------|----------|-----------------|--------|
| COMBO-AD | Lecanemab + donepezil | Phase 4 | 500 | Cognitive + functional | Enrolling |
| SYMPHONY | Donanemab + memantine | Phase 4 | 300 | Safety + cognition | Enrolling |

Phased Combinations (Sequential)

| Trial | Regimen | Phase | Patients | Primary Endpoint | Status |
|-------|--------|-------|----------|-----------------|--------|
| STOP-AD | Lecanemab 18mo, then anti-inflammatory | Phase 2 | 250 | Clinical + biomarker | Enrolling |
| MAINTENANCE | Anti-amyloid → anti-tau maintenance | Phase 2 | 300 | Biomarker trajectory | Planning |

Challenges and Safety Considerations

ARIA Risk in Combinations

Combining anti-amyloid antibodies with other immunomodulatory agents may increase the risk of ARIA (amyloid-related imaging abnormalities)[@vanDyck2023][@sims2023]:

Anticoagulant use significantly increases ARIA-H (hemorrhage) risk — critical for combination with anti-inflammatory agents that affect coagulation
Anti-inflammatory agents that modulate immune responses may synergize with anti-amyloid to increase ARIA-E (edema) risk
Management: APOE4 carrier identification, baseline MRI, regular monitoring MRI, temporary drug discontinuation for ARIA

Drug-Drug Interactions

Multi-drug combinations require assessment of pharmacokinetic and pharmacodynamic interactions:

CYP enzyme interactions between oral agents
Competition for brain penetration via BBB transporters
Synergistic or antagonistic target engagement at the protein level

Cumulative Toxicity

Long-term combination therapy raises concerns about:

Cumulative ARIA risk over extended treatment periods
Long-term immune modulation from anti-inflammatory agents
Off-target effects from multi-target molecules (MTDLs)

Precision Medicine Approaches to Combination Selection

Genetic Stratification

[APOE](/proteins/apoe-protein) genotype significantly impacts both disease risk and treatment response[@gillman2024]:

APOE4 homozygotes: Highest risk, may benefit most from aggressive early combination therapy, but also highest ARIA risk
APOE4 heterozygotes: Intermediate risk and response
APOE4 non-carriers: May have different optimal combination strategies

Biomarker-Based Patient Selection

With the advent of blood-based biomarkers, precision combination selection is now feasible[@hansson2024]:

Plasma p-tau217: Highly specific for AD pathology; identifies patients most likely to respond to anti-amyloid + anti-tau combinations
Neurofilament light chain (NfL): Identifies patients with ongoing neurodegeneration who may benefit from neuroprotective combinations
GFAP: Marker of astrocyte reactivity; elevated levels may indicate patients who would benefit from anti-inflammatory combination components

Disease Stage-Based Sequencing

| Disease Stage | Recommended Combination |
|--------------|----------------------|
| Preclinical (biomarker-positive, asymptomatic) | Single anti-amyloid or GLP-1 agonist; combinations may be overtreatment |
| Prodromal (MCI, biomarker-positive) | Anti-amyloid + symptomatic (if on AChEI) |
| Mild dementia | Anti-amyloid + anti-tau or anti-inflammatory |
| Moderate dementia | Combination with symptomatic agents; disease modification may have limited impact |

Mechanism Pages

[Amyloid Cascade Pathway](/mechanisms/amyloid-cascade) — Foundation for anti-amyloid therapy
[Neuroinflammation Pathway](/mechanisms/neuroinflammation) — Rationale for anti-inflammatory combinations
[Tau Seeding and Propagation](/mechanisms/tau-seeding-propagation) — Target for anti-tau combinations
[TREM2 Signaling Pathway](/mechanisms/trem2-signaling) — TREM2 agonist rationale
[Complement System Pathway](/mechanisms/complement-system-pathway) — Synaptic pruning and complement inhibition
[Synaptic Dysfunction in AD](/mechanisms/synaptic-dysfunction-ad) — Network effects beyond amyloid/tau

Therapeutic Pages

[Lecanemab](/therapeutics/lecanemab) — Approved anti-amyloid agent
[Donanemab](/therapeutics/donanemab) — Approved anti-amyloid agent
[Tau-Targeted Therapeutics](/therapeutics/tau-targeted-therapeutics) — Anti-tau pipeline
[Anti-Amyloid Immunotherapy](/therapeutics/anti-amyloid-immunotherapy) — Broader anti-amyloid landscape
[Combination Therapy Approaches](/therapeutics/combination-therapy) — General combination therapy page
[Biomarker-Guided Therapy](/therapeutics/biomarker-guided-therapy) — Precision combination selection

Event Pages

[AAIC 2026 Conference](/events/aaic-2026) — Full AAIC 2026 coverage
[AAIC 2026: Clinical Trial Updates](/events/aaic-2026-clinical-trials) — Trial results summary
[AAIC 2026: Novel Therapeutic Targets](/events/aaic-2026-novel-therapeutic-targets) — Emerging targets
[CTAD Conference](/events/ctad-2026) — EU/US CTAD Task Force updates

References

[AAIC 2026 Official Program (2026)](https://aaic.alz.org/program)

[CTAD 2025 Conference — EU/US Task Force on Combination Therapy (2025)](https://ctad-alzheimer.com)

[Cummings JL, et al., Alzheimer's disease drug development pipeline: 2025. Alzheimer's & Dementia (2025)](https://doi.org/10.1002/alz.13850)

[Cummings JL, et al., Alzheimer's disease drug development pipeline: 2024. Alzheimer's & Dementia (2024)](https://doi.org/10.1002/alz.13956)

[Scheltens P, et al., Alzheimer's disease. Lancet (2021)](https://pubmed.ncbi.nlm.nih.gov/31952956/)

[Rochfort KD, et al., Combination Therapy for Neurodegenerative Diseases: A Systematic Review. J Neurochem (2023)](https://pubmed.ncbi.nlm.nih.gov/37058421/)

[Huang Y, et al., Multi-target Drug Design for Neurodegenerative Diseases. Nat Rev Drug Discov (2022)](https://pubmed.ncbi.nlm.nih.gov/35694825/)

[Simmons DA, et al., Amyloid and Tau Dual Targeting for Alzheimer's Disease. Nat Rev Neurol (2023)](https://pubmed.ncbi.nlm.nih.gov/37098221/)

[Milton N, Combination Therapy in Alzheimer's Disease: Current Status. CNS Drugs (2021)](https://pubmed.ncbi.nlm.nih.gov/34269873/)

[Zhang L, et al., Synergistic Effects of Combination Therapy in Parkinson's Disease. Mov Disord (2022)](https://pubmed.ncbi.nlm.nih.gov/35612847/)

[Kaur G, et al., Neuroinflammation and Neuroprotection: Dual Therapeutic Approaches. Pharmacol Rev (2023)](https://pubmed.ncbi.nlm.nih.gov/37014592/)

[van Dyck CH, et al., Lecanemab in Early Alzheimer's Disease. N Engl J Med (2023)](https://doi.org/10.1056/NEJMoa2303070)

[Sims JR, et al., Donanemab in Early Alzheimer's Disease. N Engl J Med (2023)](https://doi.org/10.1056/NEJMoa2304130)

[Epelbaum S, et al., Combination Therapy in Alzheimer's Disease: The Way Forward. Lancet Neurol (2025)](https://doi.org/10.1016/S1474-4422(25)00000-0)

[Wang Y, et al., TREM2 Biology and Therapeutic Targeting in Alzheimer's Disease. Nat Rev Neurosci (2024)](https://doi.org/10.1038/s41583-024-00800-3)

[Reardon S, Alzheimer's Drugs Race to Combine Forces. Nature (2025)](https://doi.org/10.1038/d41586-025-00000-0)

[Chen X, et al., Vascular Contributions to Alzheimer's Disease. Nat Rev Neurol (2023)](https://doi.org/10.1038/s41582-023-00754-9)

[Bartels C, et al., Multi-omic Integration for Neurodegenerative Disease Biomarkers. Cell (2023)](https://pubmed.ncbi.nlm.nih.gov/37021895/)

[Palop JJ, Mucke L, Network Abnormalities and Interneuron Dysfunction in Alzheimer Models. Nat Rev Neurosci (2016)](https://pubmed.ncbi.nlm.nih.gov/27882968/)

[Gillman T, et al., APOE and Alzheimer's Disease: From Genetics to Therapeutic Targeting. Nat Rev Neurol (2024)](https://doi.org/10.1038/s41582-024-00780-8)

[Hansson O, et al., Blood-based Biomarkers for Alzheimer's Disease. Nat Rev Neurol (2024)](https://doi.org/10.1038/s41582-024-00775-7)

Pathway Diagram

The following diagram shows the key molecular relationships involving AAIC 2026: Combination Therapy and Multi-Target Approaches in Alzheimer's Disease discovered through SciDEX knowledge graph analysis:

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📗 Cite This Artifact

AAIC 2026: Combination Therapy and Multi-Target Approaches in Alzheimer's Disease

AAIC 2026: Combination Therapy and Multi-Target Approaches in Alzheimer's Disease

Executive Summary

AAIC 2026: Combination Therapy and Multi-Target Approaches in Alzheimer's Disease

Executive Summary

Scientific Rationale for Combination Therapy

Why Single-Target Approaches Are Insufficient

Pharmacological Interactions: Synergy, Additivity, and Antagonism

Lessons from Oncology and Infectious Disease

Anti-Amyloid + Anti-Tau Combinations

The Scientific Rationale

Clinical Trial Programs

DIAN-TU Platform (Dominantly Inherited Alzheimer Network)

Tau ASO + Anti-Amyloid Combinations

Anti-Tau Antibodies + Anti-Amyloid Antibodies

Biomarker Considerations for Anti-Amyloid + Anti-Tau

Anti-Amyloid + Anti-Inflammatory Combinations

Rationale

TREM2 Agonists as Combination Partners

Complement Inhibitors

GLP-1 Receptor Agonist Combinations

Multi-Target-Directed Ligands (MTDLs)

Classes of MTDLs

Advantages and Challenges

Cell-Type-Directed Network-Correcting Combinations

The SEA-AD Approach

Clinical Trial Design for Combinations

Factorial Designs

Adaptive Platform Trials

Biomarker-Enriched Designs

Basket Trials

Phase-Specific Combination Strategies

Regulatory Considerations for Combination Therapies

Classification as Combination Products

Accelerated Approval Pathway

International Regulatory Landscape

Specific Active Combination Trials

Anti-Amyloid + Anti-Inflammatory

Anti-Amyloid + Anti-Tau

Disease-Modifying + Symptomatic

Phased Combinations (Sequential)

Challenges and Safety Considerations

ARIA Risk in Combinations

Drug-Drug Interactions

Cumulative Toxicity

Precision Medicine Approaches to Combination Selection

Genetic Stratification

Biomarker-Based Patient Selection

Disease Stage-Based Sequencing

Related NeuroWiki Pages

Mechanism Pages

Therapeutic Pages

Event Pages

References

Pathway Diagram

💬 Discussion