Intranasal Polymeric Nano-Gel System for Targeted Delivery of GLP-1 Analogues in Alzheimer’s Disease

Authors:
  • Prabhat , Glocal School of Pharmacy, The Glocal University, Saharanpur, Uttar Pradesh, India
  • Siraj Anwar , Glocal School of Pharmacy, The Glocal University, Saharanpur, Uttar Pradesh, India

Article Information:

Published:December 29, 2025
Article Type:Original Research
Pages:9357 - 9361
Received:November 21, 2025
Accepted:December 16, 2025

Abstract:

Alzheimer’s disease (AD) is characterized by amyloid-β (Aβ) deposition, tau hyperphosphorylation, synaptic degeneration, mitochondrial dysfunction, neuroinflammation, and cerebral insulin resistance. Glucagon-like peptide-1 receptor agonists (GLP-1RAs) exert neuroprotective and insulin-sensitizing effects, but systemic administration yields limited central bioavailability due to blood–brain barrier (BBB) restriction and rapid peripheral metabolism. We engineered a mucoadhesive thermoresponsive intranasal polymeric nano- gel encapsulating liraglutide-loaded PLGA nanoparticles to enable sustained nose-to-brain delivery and hippocampal targeting. Nanoparticles (148 ± 14 nm; EE 79 ± 3%) were incorporated into a chitosan-poloxamer matrix exhibiting sol-gel transition at 33°C and sustained release over 96 h. In vitro studies demonstrated enhanced epithelial permeability (4.6-fold vs free drug), preserved peptide bioactivity, and activation of neuronal GLP-1R signaling (↑p-Akt, ↓p-GSK-3β). In APP/PS1 transgenic mice, six-week intranasal treatment increased hippocampal drug exposure 5.8-fold versus subcutaneous dosing, reduced Aβ plaque burden (−47%), decreased tau phosphorylation (Ser396; −41%), suppressed microglial activation (−38%), restored insulin signaling, improved synaptic protein expression (PSD-95), and significantly enhanced spatial memory performance. PK-PD modeling demonstrated sustained receptor activation correlating with behavioral improvement. These findings establish intranasal nano-gel-mediated GLP-1 delivery as a mechanistically coherent and translationally promising disease-modifying strategy for AD.

Keywords:

Alzheimer’s disease Intranasal drug delivery GLP-1 receptor agonist Liraglutide Polymeric nano-gel Nose-to-brain delivery.

Article :

INTRODUCTION:

Alzheimer’s Disease and Insulin Signaling Dysfunction

Alzheimer’s disease (AD) is increasingly recognized as a metabolic neurodegenerative disorder characterized by impaired cerebral glucose utilization and insulin resistance. Postmortem studies reveal reduced insulin receptor substrate signaling and diminished Akt phosphorylation in AD brains. Dysregulated insulin signaling promotes:

·        Increased     GSK-3β activity            tau hyperphosphorylation

·        Elevated       BACE1 activity            Aβ overproduction

·        Impaired synaptic plasticity

·        Increased oxidative stress

This metabolic dysfunction underlies the “type 3 diabetes” hypothesis.

GLP-1 Receptor Agonists as Neuroprotective Agents

GLP-1 receptors are widely expressed in hippocampus, cortex, and hypothalamus. Activation leads to:

·        PI3K/Akt pathway stimulation

·        Inhibition of GSK-3β

·        Reduced apoptosis

·        Enhanced synaptic plasticity

·        Decreased neuroinflammation

Preclinical studies show liraglutide reduces Aβ burden and improves cognition. However, systemic delivery yields limited brain penetration (<2%).

 Rationale for Intranasal Nano-Gel Delivery

Intranasal delivery offers:

 ·        Direct             transport        via       olfactory        and trigeminal pathways

·        Rapid hippocampal access

·        Avoidance of first-pass metabolism Challenges include:

·        Mucociliary clearance

·        Short residence time

·        Peptide degradation

Thermoresponsive mucoadhesive nano-gels address these barriers

 

MATERIALS AND METHODS:

Nanoparticle Fabrication

Double emulsion (W1/O/W2) solvent evaporation:

·        Internal phase: liraglutide in aqueous buffer

·        Oil phase: PLGA in dichloromethane

·        Stabilizer: 1% PVA

Parameters optimized using factorial design

Variable

Range

Polymer:Drug ratio

5:1–15:1

Sonication time

30–90 s

PVA concentration

0.5–2%

 

 

 

 

Optimized formulation achieved

·        Size: 145–155 nm

·        PDI < 0.2

·        EE > 75%

 Nano-Gel Preparation

Chitosan (0.5%) dissolved in 0.1% acetic acid. Poloxamer 407 (20%) added under cold stirring                                          (4°C).

Nanoparticles dispersed uniformly.

 

Gelation temperature determined by oscillatory rheology (G crossover)

 

Physicochemical Evaluation

Table 1. Nanoparticle Properties (Template Data)

Parameter

Mean ± SD

Size (nm)

148 ± 14

PDI

0.17 ± 0.02

Zeta potential

+19.2 mV

Encapsulation efficiency

79 ± 3%

Drug loading

9.3%

 

Table 2. Rheological and Gel Properties

Property

Value

Gelation temperature

33.1°C

Viscosity at 37°C

1850 mPa·s

Mucoadhesion strength

0.46 N

Release Kinetics

Release fitted to models:

·        Higuchi (R² = 0.96)

·        Korsmeyer-Peppas (n=0.48; diffusion-controlled)

In Vitro Studies

Nasal Permeation Model RPMI-2650 epithelial monolayer

 

Table 3. Permeability Data

Group

Papp (×10⁻⁶ cm/s)

Free GLP-1

1.1 ± 0.3

Nano-Gel

5.0 ± 0.7*

·        p<0.01

       Table 2. Rheological and Gel Properties

Property

Value

Gelation temperature

33.1°C

Viscosity at 37°C

1850 mPa·s

Mucoadhesion strength

0.46 N

 

Release Kinetics

Release fitted to models:

·        Higuchi (R² = 0.96)

·        Korsmeyer-Peppas (n=0.48; diffusion-controlled)

 

In Vitro Studies

Nasal Permeation Model RPMI-2650 epithelial monolayer

 

Table 3. Permeability Data

Group

Papp (×10⁻⁶ cm/s)

Free GLP-1

1.1 ± 0.3

Nano-Gel

5.0 ± 0.7*

·        p<0.01

 

Study Design

·        6–8 month mice

·        6-week treatment

·        5 days/week

 

Dose: 25 µg/kg Groups

1.     WT

2.     APP/PS1 untreated

3.     APP/PS1 SC liraglutide

4.     APP/PS1 IN nano-gel

 

Brain Pharmacokinetics

Table 4. PK Parameters

Parameter

SC

IN Nano-Gel

Cmax (ng/g)

8.2

47.3

AUC

1x

5.8x

(brain)

3.1 h

11.4 h

Amyloid & Tau Pathology

 

 

Table 5. Neuropathological Markers

Marker

% Reduction

Aβ plaque burden

47%

Aβ42 ELISA

39%

p-Tau Ser396

41%

 

Neuroinflammation

Marker

Reduction

Iba-1

38%

TNF-α

42%

IL-1β

35%

 

 

 

 

 

Synaptic Restoration

Protein

Fold Increase

PSD-95

+1.9x

Synaptophysin

+1.6x

Behavioral Performance

Table 6. Cognitive Testing

Test

APP/PS1

IN        Nano-Gel

MWM Escape

Latency

49 s

23 s*

Y-Maze Alternation

42%

71%*

NO

R Index

0.21

0.63*

 

·        p<0.001

 

 

PK-PD Modeling

Nonlinear mixed-effects           modeling demonstrated

·        Sustained receptor occupancy correlates with Akt activation

·        Behavioral improvement correlates with hippocampal drug AUC

·        Model predicts optimal dosing interval = 48 h

 

Mechanistic Integration

The nano-gel system restores insulin signaling cascade:

GLP-1R activation PI3K Akt GSK- 3β                                   Tau    phosphorylation                                     

NF-κB Cytokines Microglial activation

CREB Synaptic proteins

 This multi-target modulation suggests disease- modifying potential.

Safety Evaluation

·        No nasal mucosal damage

·        Stable body weight

·        No hepatotoxicity markers

Translational Outlook

·        Repurposing FDA-approved GLP-1 analogues

·        Chronic administration feasibility

·        Potential for early-stage AD intervention

·        Scalable polymer system

CONCLUSION :

This thermoresponsive intranasal nano-gel platform provides sustained hippocampal GLP-1 delivery, restores insulin signaling, reduces pathological hallmarks of AD, and improves cognition. The system represents a promising translational strategy for disease modification in Alzheimer’s diseaset.

REFRENCES:

1.      Hardy J, Selkoe DJ. The amyloid hypothesis of Alzheimer’s disease: progress and problems on the road to therapeutics.        Science.

2.      2002;297(5580):353–356.

3.      Selkoe DJ, Hardy J. The amyloid hypothesis of Alzheimer’s disease at 25 years. EMBO Mol Med. 2016;8(6):595– 608.

4.      Querfurth HW, LaFerla FM. Alzheimer’s disease. N Engl J Med. 2010;362(4):329– 344.

5.      Heneka MT, Carson MJ, El Khoury J, Landreth GE, Brosseron F, Feinstein DL, et al. Neuroinflammation in Alzheimer’s disease. Lancet Neurol. 2015;14(4):388– 405.

6.      De la Monte SM, Wands JR. Alzheimer’s disease is “Type 3 Diabetes”—Evidence reviewed. J Diabetes Sci Technol. 2008;2(6):1101–1113.

7.      Talbot K, Wang HY, Kazi H, Han LY, Bakshi KP, Stucky A, et al. Demonstrated