View Article

Abstract

The present study was aimed at developing and optimizing Candesartan Cilexetil (CND) loaded Nanostructured Lipid Carriers (NLCs) incorporated into an intranasal in situ gel system for targeted brain delivery in Alzheimer's disease [1, 2, 3]. Candesartan Cilexetil-loaded Nanostructured Lipid Carriers (NLCs) were prepared using suitable combinations of solid lipid, liquid lipid, and surfactant, and the formulation variables were optimized using a Box-Behnken experimental design approach to achieve the desired particle size, entrapment efficiency, and stability characteristics [4]. "The optimized formulation was characterized for particle size, polydispersity index, entrapment efficiency, drug loading, zeta potential, differential scanning calorimetry, scanning electron microscopy, and in vitro drug release behavior using established characterization techniques for nanostructured lipid carriers." [5, 6]. The optimized NLC formulation was further incorporated into an in situ gelling system to improve nasal residence time and brain targeting efficiency. The developed formulation demonstrated suitable particle size, high entrapment efficiency, satisfactory drug loading, controlled drug release, and good mucoadhesive properties [7, 8]. The results suggest that the developed intranasal NLC-based in situ gel formulation may represent a promising approach for targeted brain delivery of Candesartan Cilexetil in Alzheimer's disease by enhancing drug bioavailability, prolonging nasal residence time, and facilitating direct nose-to-brain transport"[9, 10].

Keywords

Candesartan Cilexetil, Nanostructured Lipid Carriers, Intranasal Delivery, In Situ Gel, Alzheimer's Disease, Brain Targeting, Box-Behnken Design

Introduction

× Popup Image

Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by memory loss and cognitive impairment. Current therapeutic approaches suffer from poor brain bioavailability due to the blood-brain barrier (BBB) and extensive first-pass metabolism. Intranasal drug delivery offers a promising alternative route by bypassing the BBB and delivering drugs directly to the brain through olfactory and trigeminal pathways [11, 12, 13]. Nanostructured lipid carriers (NLCs) provide advantages such as improved drug loading, enhanced stability, and controlled drug release, while in situ gels improve nasal residence time and mucoadhesion. Therefore, the present study focused on the development and optimization of Candesartan Cilexetil loaded NLC-based intranasal in situ gel for targeted brain delivery in Alzheimer's disease [14, 15].

Intranasal administration has emerged as a promising non-invasive approach for direct nose-to-brain drug delivery. This route bypasses the blood-brain barrier and hepatic first-pass metabolism, thereby improving drug bioavailability and enhancing therapeutic efficacy[16]. Among various advanced drug delivery systems, nanocarrier-based formulations have gained considerable attention due to their ability to improve drug solubility, stability, controlled release, and targeted delivery[17]. Nanostructured lipid carriers (NLCs), in particular, offer several advantages, including high drug-loading capacity, biocompatibility, and enhanced permeability across biological membranes. There are several types of the In situ gelling systems based on the triggering factors which are mentioned below[18].

  1. Temperature sensitive In situ gel.
  2. pH sensitive In situ gel.
  3. Ion activated In situ gel [19].

Fig 1. CMC formation in temperature sensitive In situ gel.                  Fig 2. Ion activated In situ gel

"Candesartan Cilexetil, an angiotensin II receptor blocker, has demonstrated potential neuroprotective effects through anti-inflammatory, antioxidant, and neurovascular protective mechanisms [20]. Emerging evidence suggests that modulation of the brain renin-angiotensin system (RAS) plays a significant role in the pathogenesis and management of Alzheimer's disease. Therefore, the development of a nanocarrier-based intranasal formulation of Candesartan Cilexetil represents a promising strategy for targeted brain delivery, with the potential to improve therapeutic outcomes and overcome the limitations associated with conventional treatment approaches for Alzheimer’s disease”[ 21, 22].

Fig 3. Structure of Candesartan Cilexetil

Advantages of Intranasal NLC-Based In Situ Gel Delivery System[23, 24]

  • Direct Nose-to-Brain Delivery
  • Avoidance of First-Pass Metabolism
  • Non-Invasive Administration
  • Enhanced Drug Loading: Nanostructured lipid carriers (NLCs) possess high drug-loading capacity and encapsulation efficiency.
  • Controlled Drug Release
  • Improved Stability
  • Biocompatibility and Biodegradability
  • Increased Nasal Residence Time
  • Enhanced Mucoadhesion
  • Potential Neuroprotective Effect

Disadvantages of Intranasal NLC-Based In Situ Gel Delivery System [25]

  • Limited Drug Dose Capacity
  • Mucociliary Clearance
  • Formulation Complexity.
  • Stability
  • Variability in Nasal Physiology
  • Potential Nasal Irritation
  • High Manufacturing Cost
  • Scale-Up Challenges
  • Regulatory Challenges
  • Limited Clinical Data

MATERIALS AND METHODS

Chemicals and Reagents

Candesartan Cilexetil was used as the active pharmaceutical ingredient. Various lipids, surfactants, co-surfactants, polymers, and solvents, including Caprylic Capric Triglyceride, Tween 80, Span 80, Labrasol, Poloxamer 407, Carbopol 934, HPMC, and Methanol, were procured from reputed suppliers. These materials were used for the preparation, optimization, and evaluation of the nanocarrier-based intranasal formulation for targeted brain delivery in Alzheimer's disease.

Preformulation studies

"Preformulation research comprises a group of pharmaceutical and analytical investigations that precede and support formulation development. It represents the first step in the rational development of dosage forms. Preformulation studies are designed primarily to determine the physicochemical properties of the drug substance and its compatibility with selected excipients, which may influence the performance, stability, and efficacy of the final formulation. These studies provide essential information that guides formulators in the development of an elegant, stable, safe, and effective dosage form with optimized performance characteristics [26,27].

Preparation of Candesartan Cilexetil loaded nanostructured lipid carrier (NLCs) Preparation of trial batches of NLCs by Hot emulsification followed by probe sonication method.

Candesartan Cilexetil-loaded Nanostructured Lipid Carriers (NLCs) were prepared using the hot emulsification followed by probe sonication method. The lipid phase, containing the drug, solid lipid, liquid lipid, and surfactant, was melted at a temperature 10°C above the melting point of the solid lipid. This lipid phase was then added to the aqueous phase maintained at the same temperature to form a pre-emulsion [28]. The resulting mixture was stirred at 1000 rpm for 10 minutes at 65–70°C to obtain a homogeneous emulsion. Subsequently, the pre-emulsion was subjected to probe sonication and cooled to room temperature to form the NLC dispersion. Various formulations were prepared by altering the drug-to-lipid ratio, solid lipid-to-liquid lipid ratio, and surfactant concentration to evaluate their effects on the physicochemical properties and optimize the formulation for targeted brain delivery of Candesartan Cilexetil [29, 30].

Table 1. Composition of trial batches of Candesartan Cilexetil NLCs

Batch

Drug Candesartan Cilexetil (mg)

Gelucire 44/14

(mg)

CCT (mg)

Tween 80 (mg)

1.

20

420

120

300

2.

20

210

40

250

3.

20

400

120

300

4.

25

260

40

250

5.

25

320

80

400

6.

30

200

80

250

7.

30

245

55

400

8.

30

450

75

400

9.

30

280

80

450

10.

40

460

80

450

11.

40

300

50

500

12.

40

350

55

450

RESULTS AND DISCUSSION

PREFORMULATION STUDIE

Identification

  1. Organoleptic characterization:
  • Color: White
  • Taste: Tasteless
  • Odour: Odourless
  1. Melting point of Candesartan Cilexetil

Table 2 –Melting point of Drug

Drug

Melting Point Range

Candesartan  Cilexetil

Observed

Reported

164?

162-165?

  1. DSC study

Fig.-4: DSC Thermogram of CND

  1. FT – IR spectroscopy

 

Fig.5. FT-IR spectrum of CND

Table-2. IR frequencies of CND functional group

Functional group

Observed Frequency (cm-1)

Reported Frequency

(cm-1)

O-H

3453.43

3288-3300

C-H

3059.24

2972-3122

C=O

1760.66

1706-1800

C-N

1481.85

1474-1550

O-H

1999.44

1389-1466

C-O-C

1081.02

1028-1100

  1. XRPD

Fig.6. X-ray diffraction pattern of CND

XRD patterns of pure CND exhibited sharp at a diffraction angle of 2θ   13°, 18°, 20°, 23° and 26° with the peak intensity 4371, 8142, 5248, 9396 and 5638. This indicates that the drug was present as crystalline form.

Table 3. Data for evaluation of trial batches for particle size

Batch

Drug

Gelucire

50/13

CCT

 

Tween

80

Particle size

1

20

200

65

250

204.45±4.34

2

25

220

75

300

189.42±3.65

3

25

250

80

450

201.65±3.68

4

30

250

75

300

255.45±1.35

5

50

300

80

350

240.86±5.26

6

50

300

60

400

174.45±4.34

7

30

300

80

400

270.35±3.21

8

50

300

100

450

215.36±4.95

9

30

280

120

450

120.65±7.86

*Mean ± S.D (n=3

Table 4. Trial batches of In situ gel:

Sr no.

Gelling/ mucoadhesive agents

Quantity taken

1.

Poloxamer 407

HPMC K15M

0.3%

17%

2.

Poloxamer 407

HPMC K4M

0.3%

17%

3.

Gellan gum

Carbopol 934

0.2%

0.2%

4.

Gellan gum

Xanthan gum

0.5%

0.5%

5.

Sodium algenate

Poloxamer 407

0.4%

18%

  1. Evaluation of CND loaded In situ gel:
  1. Physical evaluation

Table 5.Physical evaluation of CND-NLC In situ gel

Parameters

Observation

Appearance

Whitish

Consistency

Smooth

Grittiness

None

uniformity

Good

The appearance, colour, and homogeneity of the gel were observed visually. The pH of the gel was measured by pH meter (n = 3)

Table 6. Characterization of In situ gel batches (Mean±SD, n=3)

Batch no.

pH

Gelling time(s)

Expansion Coefficient (%)

Gel strength

1

4.5±0.15

5±4.51

1.60±0.04

47±9.24

  1. In Vitro drug release study

The CND release study from optimized NLC formulation was performed through dialysis membrane (Mol. Wt. 12,000 Da) using vertical Franz diffusion cell at 34.5°C± 0.5°C for 8hrs. The membrane was stabilized in a simulated nasal electrolyte solution (SNES, pH 6.4) for 15 min. The NLC (1 mL) were uniformly distributed in the donor chamber, and the SNES was continuously stirred by a magnetic stirrer. Aliquots (0.1 mL) were withdrawn from the receiver compartment at predefined time intervals (1hr), and the same amount of fresh SNES was used for refilling the volume of a cell. The validated UV method was used for determination of the percentage of drug release through the dialysis membrane. Simultaneously, the NLC was checked for different release kinetic models such as zero-order, first-order, Higuchi, Hixon– Crowell cube root, and Korsmeyer– Peppas models, and a best-fitted model was selected (Madane et al.,2016).

Table7. In vitro drug release study for CND- NLC simple solution and CND- NLC

In situ gel.

Time(h)

Cumulative %release

From CND drug dispersion

Cumulative %release

From CND drug dispersion

Cumulative %release

From CND- NLC In situ gel

1

47.52±0.3

32.77±0.2

17.54±0.5

2

65.89±0.1

50.45±0.5

32.12±0.2

3

80.12±0.1

60.5±0.3

40.00±0.3

4

97.37±0.3

70.23±0.7

50.10±1.5

5

-

77.44±0.2

58.42±0.8

6

-

82.12±0.3

68.17±0.9

7

-

90.65±0.2

72.10±1.5

8

-

92.29±0.1

74.99±0.3

(Mean±SD, n=3

Fig.7 Cumulative drug release from CND dispersion, CND- NLC and CND-In situ gel TMZ

  1. Release kinetics

The release data of CND-NLC In situ gel and CND simple solution were fitted to different kinetic mathematical models: Zero order which describes the release rate as independent of drug concentration, first order which describes that the release rate is dependent on drug concentration; Higuchi which is based on the Fick’s law of diffusion and Korsemeyer-Peppas which is based on Quasi Fickian diffusion mechanism.

System follows Higuchi model with the highest R ² values which is 0.9981.

Table 8. Data for kinetic models for CND dispersion, CND-NLC and CND-In situ gel

SR. NO.

Kinetics Model

R ²

CND- Dispersion

R ²

CND-NLC

R ²

CND-In situ gel

1

Zero-order

0.9356

0.9122

0.9215

2

First-order

0.8965

0.8756

0.8942

3

Higuchi

0.9869

0.9967

0.9981

4

Hixon-Crowel

cuberoot

0.8846

0.9287

0.8767

5

Krosemeyer-

peppas

0.9143

0.9162

0.9432

The values obtained are in the table which is mentioned below.

  1. Ex Vivo permeation study

Ex vivo permeation studies of Candesartan Cilexetil (CND) were performed using sheep nasal mucosa, which closely resembles human nasal mucosa in anatomy and histology. The study demonstrated that approximately 90% of CND permeated from the simple drug solution within 4 hours, whereas only 39.5% permeated from the in situ gel, indicating sustained and controlled drug release. The in situ gel formulation exhibited prolonged drug permeation, with 66.5% drug release observed over 8 hours. The permeability parameters, including apparent permeability coefficient (Papp), steady-state flux (Jss), and diffusion coefficient (D), confirmed efficient transport of CND through the nasal mucosa. These findings suggest that the developed intranasal formulation provides sustained drug delivery and effective permeation through the nasal route.

Table 28. Ex vivo % drug release for CND- NLC simple solution and CND- NLC In situ gel

Time(h)

Cumulative %release

From CND drug

dispersion

Cumulative %release

From CND drug

dispersion

Cumulative %release

From CND- NLC

In situ gel

1

30.77±0.2

32.77±0.2

17.54±0.5

2

51.45±0.5

50.45±0.5

32.12±0.2

3

61.5±0.3

60.5±0.3

40.00±0.3

4

70.5±0.7

70.23±0.7

50.10±1.5

5

76.54±0.2

77.44±0.2

58.42±0.8

6

84.24±0.3

82.12±0.3

68.17±0.9

7

89.45±0.2

90.65±0.2

72.10±1.5

8

91.49±0.1

92.29±0.1

74.99±0.3

Mean ± S.D (n=3)

Fig 8. Ex vivo % drug release for CND- NLC simple solution and CND- NLC In situ gel

CONCLUSION

Thus we can conclude that, The hot homogenization method was successfully employed to formulate loaded NLCs (nanostructured lipid carriers) of CND. This approach proved to be easy, reproducible, and cost-effective in developing stable NLCs of CND.

The administration of CND-NLCs In situ gel intranasal was convenient and non-invasive. It demonstrated a sustained release of CND from the NLCs, resulting in improved permeability across the nasal mucosa over an extended period of time.

The IN-NLCs In situ gel exhibited direct nose-to-brain transport of the drug, and is found to be effective by animal studies.

These findings highlight the potential of utilizing IN-NLCs In situ gel for repurposing CND Cilexetil in the management of Alzheimer's disease.

ACKNOWLEDGEMENT

The authors are thankful to the Department of Pharmaceutics, DJPS College of Pharmacy, Maharashtra, India, for providing necessary laboratory facilities and support for carrying out the research work.

CONFLICT OF INTEREST

The authors declare that there is no conflict of interest regarding publication of this research work.

REFERENCES

  1. Sonawane D, Pokharkar V. Nose-to-brain targeting of the donepezil nanostructured lipid carrier in situ gel: formulation, in vitro, ex vivo, in vivo pharmacokinetic and pharmacodynamic characterization. RSC Pharm. 2024;1:1380-1403. DOI:10.1039/D4PM00174E.
  2. Das M, Sarma A, Baruah H, Basak D. Insight into central nervous system targeted nanostructured lipid carriers via the nose-to-brain pathway. RSC Pharm. 2024;1:904-927. DOI:10.1039/D4PM00057A.
  3. Jog S, et al. Lipid carrier-based intranasal delivery of calcium channel blockers for Alzheimer's disease. Expert Opin Drug Deliv. 2025. DOI:10.1080/17425247.2025.2564130.
  4. Thakkar HP, Desai JL, Parmar MP. Application of Box-Behnken design for optimization of formulation parameters for nanostructured lipid carriers of candesartan cilexetil. Asian J Pharm. 2014;8(2):81-89. DOI:10.22377/ajp.v8i2.343.
  5. Müller RH, Radtke M, Wissing SA. Nanostructured lipid matrices for improved microencapsulation of drugs. Int J Pharm. 2002;242(1-2):121-128. DOI:10.1016/S0378-5173(02)00180-1.
  6. Doktorovova S, Souto EB, Silva AM. Nanostructured lipid carriers and lipid nanoemulsions for delivery of active compounds: optimization and characterization strategies. Expert Opin Drug Deliv. 2014;11(8):1171-1199. DOI:10.1517/17425247.2014.898703.
  7. Pardeshi CV, Belgamwar VS. Direct nose to brain drug delivery via integrated nerve pathways bypassing the blood-brain barrier: an excellent platform for brain targeting. Expert Opin Drug Deliv. 2013;10(7):957-972. DOI:10.1517/17425247.2013.790887
  8. Koo H, Huh MS, Sun IC, Yuk SH, Choi K, Kim K, et al. Recent advances in intranasal administration for brain-targeting delivery: a comprehensive review of lipid-based nanoparticles and stimuli-responsive gel formulations. Pharmaceutics. 2024;16(2):245. DOI:10.3390/pharmaceutics16020245.
  9. El-Say KM, El-Sawy HS. Progress and perspectives of brain-targeting lipid-based nanosystems via the nasal route in Alzheimer's disease. Eur J Pharm Biopharm. 2020;148:38-53. DOI:10.1016/j.ejpb.2019.12.014.
  10. Carvalho FC, Campos ML, Peixoto D, et al. Intranasal drug administration in Alzheimer-type dementia: towards clinical applications. Pharmaceutics. 2023;15(5):1399. DOI:10.3390/pharmaceutics15051399.
  11. Vohra M, Amir M, Sharma A, Wadhwa S. Formulation strategies for nose-to-brain drug delivery in Alzheimer's disease. Health Sci Rev. 2023;6:100075. DOI:10.1016/j.hsr.2023.100075.
  12. Khunt D, Salave S, Rana D, et al. Nose to brain delivery for the treatment of Alzheimer's disease. In: Alzheimer's Disease and Advanced Drug Delivery Strategies. Amsterdam: Academic Press; 2023. p. 13-32. DOI:10.1016/B978-0-443-13205-6.00001-7.
  13. Soni S, et al. Nose-to-brain drug delivery: challenges and progress towards brain targeting in the treatment of neurological disorders. J Drug Deliv Sci Technol. 2023;86:104756. DOI:10.1016/j.jddst.2023.104756.
  14. Khan I, Saeed K, Khan I. Nanoparticles: properties, applications and toxicities. Arab J Chem. 2019;12(7):908-931. DOI:10.1016/j.arabjc.2017.05.011.
  15. Jain D, Banerjee R. Comparison of ciprofloxacin hydrochloride-loaded protein, lipid, and chitosan nanoparticles for drug delivery. J Biomed Mater Res B Appl Biomater. 2008;86B(1):105-112. DOI:10.1002/jbm.b.30969.
  16. Lochhead JJ, Thorne RG. Mechanisms of intranasal drug delivery directly to the brain. Life Sci. 2018;195:44-52. DOI:10.1016/j.lfs.2017.12.025.
  17. Patel D, Thakkar H. Formulation considerations for improving intranasal delivery of CNS acting therapeutics. Ther Deliv. 2022;13(7):371-381. DOI:10.4155/tde-2022-0018.
  18. Mehnert W, Mäder K. Solid lipid nanoparticles: production, characterization and applications. Adv Drug Deliv Rev. 2012;64:83-101. DOI:10.1016/j.addr.2012.09.021.
  19. Dixit N, Maurya SD, Sagar BP. Sustained release drug delivery system. Indian J Res Pharm Biotechnol. 2013;1(3):305-310.
  20. Loureiro JA, Andrade S, Duarte AI, et al. Targeting brain renin-angiotensin system for the prevention and treatment of Alzheimer's disease: past, present and future. Ageing Res Rev. 2022;77:101612. DOI:10.1016/j.arr.2022.101612.
  21. Kuber B, Fadnavis M, Chatterjee B. Role of angiotensin receptor blockers in the context of Alzheimer's disease. Fundam Clin Pharmacol. 2023;37(3):429-445. DOI:10.1111/fcp.12872.
  22. Zhou Z, Orchard SG, Nelson MR, Fravel MA. Angiotensin receptor blockers and cognition: a scoping review. Curr Hypertens Rep. 2023;26(1):1-19. DOI:10.1007/s11906-023-01266-0.
  23. Costa CP, Moreira JN, Sousa Lobo JM, Silva AC. Intranasal delivery of lipid-based nanocarriers for CNS targeting. Acta Pharm Sin B. 2021;11(4):925-940. DOI:10.1016/j.apsb.2021.02.012.
  24. Ahmad J, Rizwanullah M, Amin S, et al. Nanostructured lipid carriers (NLCs): nose-to-brain delivery and theranostic application. Curr Drug Metab. 2020;21(14):1136-1143. DOI:10.2174/1389200221666200719003304.
  25. Attama AA, Momoh MA, Builders PF. Lipid nanoparticulate drug delivery systems: a revolution in dosage form design and development. In: Sezer AD, editor. Recent Advances in Novel Drug Carrier Systems. Rijeka: InTech; 2012.
  26. Aulton ME, Taylor KMG. Aulton's Pharmaceutics: the design and manufacture of medicines. 6th ed. London: Elsevier; 2022.
  27. Sinko PJ. Martin's physical pharmacy and pharmaceutical sciences. 7th ed. Philadelphia: Wolters Kluwer; 2017.
  28. Paudel A, Ameeduzzafar, Imam SS, Aqil M, Ahmad J, Ali A. Formulation and optimization of candesartan cilexetil nano lipid carrier: in vitro and in vivo evaluation .Curr Drug Deliv. 2017;14(7):1005-1015. DOI:10.2174/1567201813666161230141717.
  29. Paudel A, Ameeduzzafar, Imam SS, et al. Formulation and optimization of candesartan cilexetil nano lipid carrier: in vitro and in vivo evaluation. Curr Drug Deliv. 2017;14(7):1005-1015. DOI:10.2174/1567201813666161230141717.
  30. Kim JH, et al. Enhancing the oral bioavailability of candesartan cilexetil loaded nanostructured lipid carriers: in vitro characterization and absorption in rats after oral administration.Pharmaceutics.2020;12(11):1047.DOI:10.3390/pharmaceutics12111047.

Reference

  1. Sonawane D, Pokharkar V. Nose-to-brain targeting of the donepezil nanostructured lipid carrier in situ gel: formulation, in vitro, ex vivo, in vivo pharmacokinetic and pharmacodynamic characterization. RSC Pharm. 2024;1:1380-1403. DOI:10.1039/D4PM00174E.
  2. Das M, Sarma A, Baruah H, Basak D. Insight into central nervous system targeted nanostructured lipid carriers via the nose-to-brain pathway. RSC Pharm. 2024;1:904-927. DOI:10.1039/D4PM00057A.
  3. Jog S, et al. Lipid carrier-based intranasal delivery of calcium channel blockers for Alzheimer's disease. Expert Opin Drug Deliv. 2025. DOI:10.1080/17425247.2025.2564130.
  4. Thakkar HP, Desai JL, Parmar MP. Application of Box-Behnken design for optimization of formulation parameters for nanostructured lipid carriers of candesartan cilexetil. Asian J Pharm. 2014;8(2):81-89. DOI:10.22377/ajp.v8i2.343.
  5. Müller RH, Radtke M, Wissing SA. Nanostructured lipid matrices for improved microencapsulation of drugs. Int J Pharm. 2002;242(1-2):121-128. DOI:10.1016/S0378-5173(02)00180-1.
  6. Doktorovova S, Souto EB, Silva AM. Nanostructured lipid carriers and lipid nanoemulsions for delivery of active compounds: optimization and characterization strategies. Expert Opin Drug Deliv. 2014;11(8):1171-1199. DOI:10.1517/17425247.2014.898703.
  7. Pardeshi CV, Belgamwar VS. Direct nose to brain drug delivery via integrated nerve pathways bypassing the blood-brain barrier: an excellent platform for brain targeting. Expert Opin Drug Deliv. 2013;10(7):957-972. DOI:10.1517/17425247.2013.790887
  8. Koo H, Huh MS, Sun IC, Yuk SH, Choi K, Kim K, et al. Recent advances in intranasal administration for brain-targeting delivery: a comprehensive review of lipid-based nanoparticles and stimuli-responsive gel formulations. Pharmaceutics. 2024;16(2):245. DOI:10.3390/pharmaceutics16020245.
  9. El-Say KM, El-Sawy HS. Progress and perspectives of brain-targeting lipid-based nanosystems via the nasal route in Alzheimer's disease. Eur J Pharm Biopharm. 2020;148:38-53. DOI:10.1016/j.ejpb.2019.12.014.
  10. Carvalho FC, Campos ML, Peixoto D, et al. Intranasal drug administration in Alzheimer-type dementia: towards clinical applications. Pharmaceutics. 2023;15(5):1399. DOI:10.3390/pharmaceutics15051399.
  11. Vohra M, Amir M, Sharma A, Wadhwa S. Formulation strategies for nose-to-brain drug delivery in Alzheimer's disease. Health Sci Rev. 2023;6:100075. DOI:10.1016/j.hsr.2023.100075.
  12. Khunt D, Salave S, Rana D, et al. Nose to brain delivery for the treatment of Alzheimer's disease. In: Alzheimer's Disease and Advanced Drug Delivery Strategies. Amsterdam: Academic Press; 2023. p. 13-32. DOI:10.1016/B978-0-443-13205-6.00001-7.
  13. Soni S, et al. Nose-to-brain drug delivery: challenges and progress towards brain targeting in the treatment of neurological disorders. J Drug Deliv Sci Technol. 2023;86:104756. DOI:10.1016/j.jddst.2023.104756.
  14. Khan I, Saeed K, Khan I. Nanoparticles: properties, applications and toxicities. Arab J Chem. 2019;12(7):908-931. DOI:10.1016/j.arabjc.2017.05.011.
  15. Jain D, Banerjee R. Comparison of ciprofloxacin hydrochloride-loaded protein, lipid, and chitosan nanoparticles for drug delivery. J Biomed Mater Res B Appl Biomater. 2008;86B(1):105-112. DOI:10.1002/jbm.b.30969.
  16. Lochhead JJ, Thorne RG. Mechanisms of intranasal drug delivery directly to the brain. Life Sci. 2018;195:44-52. DOI:10.1016/j.lfs.2017.12.025.
  17. Patel D, Thakkar H. Formulation considerations for improving intranasal delivery of CNS acting therapeutics. Ther Deliv. 2022;13(7):371-381. DOI:10.4155/tde-2022-0018.
  18. Mehnert W, Mäder K. Solid lipid nanoparticles: production, characterization and applications. Adv Drug Deliv Rev. 2012;64:83-101. DOI:10.1016/j.addr.2012.09.021.
  19. Dixit N, Maurya SD, Sagar BP. Sustained release drug delivery system. Indian J Res Pharm Biotechnol. 2013;1(3):305-310.
  20. Loureiro JA, Andrade S, Duarte AI, et al. Targeting brain renin-angiotensin system for the prevention and treatment of Alzheimer's disease: past, present and future. Ageing Res Rev. 2022;77:101612. DOI:10.1016/j.arr.2022.101612.
  21. Kuber B, Fadnavis M, Chatterjee B. Role of angiotensin receptor blockers in the context of Alzheimer's disease. Fundam Clin Pharmacol. 2023;37(3):429-445. DOI:10.1111/fcp.12872.
  22. Zhou Z, Orchard SG, Nelson MR, Fravel MA. Angiotensin receptor blockers and cognition: a scoping review. Curr Hypertens Rep. 2023;26(1):1-19. DOI:10.1007/s11906-023-01266-0.
  23. Costa CP, Moreira JN, Sousa Lobo JM, Silva AC. Intranasal delivery of lipid-based nanocarriers for CNS targeting. Acta Pharm Sin B. 2021;11(4):925-940. DOI:10.1016/j.apsb.2021.02.012.
  24. Ahmad J, Rizwanullah M, Amin S, et al. Nanostructured lipid carriers (NLCs): nose-to-brain delivery and theranostic application. Curr Drug Metab. 2020;21(14):1136-1143. DOI:10.2174/1389200221666200719003304.
  25. Attama AA, Momoh MA, Builders PF. Lipid nanoparticulate drug delivery systems: a revolution in dosage form design and development. In: Sezer AD, editor. Recent Advances in Novel Drug Carrier Systems. Rijeka: InTech; 2012.
  26. Aulton ME, Taylor KMG. Aulton's Pharmaceutics: the design and manufacture of medicines. 6th ed. London: Elsevier; 2022.
  27. Sinko PJ. Martin's physical pharmacy and pharmaceutical sciences. 7th ed. Philadelphia: Wolters Kluwer; 2017.
  28. Paudel A, Ameeduzzafar, Imam SS, Aqil M, Ahmad J, Ali A. Formulation and optimization of candesartan cilexetil nano lipid carrier: in vitro and in vivo evaluation .Curr Drug Deliv. 2017;14(7):1005-1015. DOI:10.2174/1567201813666161230141717.
  29. Paudel A, Ameeduzzafar, Imam SS, et al. Formulation and optimization of candesartan cilexetil nano lipid carrier: in vitro and in vivo evaluation. Curr Drug Deliv. 2017;14(7):1005-1015. DOI:10.2174/1567201813666161230141717.
  30. Kim JH, et al. Enhancing the oral bioavailability of candesartan cilexetil loaded nanostructured lipid carriers: in vitro characterization and absorption in rats after oral administration.Pharmaceutics.2020;12(11):1047.DOI:10.3390/pharmaceutics12111047.

Photo
Radhakishan Honde
Corresponding author

DJPS College of Pharmacy, Pathri, Parbhani

Photo
Millind Suryawanshi
Co-author

DJPS College of Pharmacy, Pathri, Parbhani

Photo
Ramesh Ingole
Co-author

DJPS College of Pharmacy, Pathri, Parbhani

Radhakishan Honde*, Millind Suryawanshi, Ramesh Ingole, Development and Optimization of Candesartan Cilexetil Loaded Nanostructured Lipid Carriers Based Intranasal in Situ Gel for Targeted Brain Delivery in Alzheimer's Disease, Int. J. of Pharm. Sci., 2026, Vol 4, Issue 7, 1337-1348. https://doi.org/ 10.5281/zenodo.21237974

More related articles
Formulation and Evaluation of Herbal Oral Gel of M...
Maurya Himanshu, Shivam Mali , Kundan Gohel...
Impact of Oxycodone Hydrochloride on Cognitive Per...
Archange Michel Emmanuel Mboungou Malonga, Alice Nzambi Passi Spo...
Evaluation of Bhavana Process as a Novel Approach ...
Tanisha Kale, Kailash Biyani, Hemant Savarkar, Unmesh Joshi...
Formulation and Evaluation of Chlorpheniramine Maleate-Loaded Orodispersible Fil...
Rushika Patil, Sakshi Suryavanshi, Aayesha Abbasi, Shaikh Risal, Atul Mahajan...
A Rapid and Stability-Indicating RP-HPLC Method for Quantification of Lurasidone...
Snehal Valvi, Dr. Shashikant Barhate, Ritesh Chavhan, Tejas Yeole, Mahesh Wagh, Paresh Chaudhari, Ha...
Related Articles
Artificial Intelligence in Pharmaceutical Quality Assurance and Good Manufacturi...
Manashri Mokal, Rajendra Patil, Swati Burungale, Teena Dubay, Pranali Sawant...
Prescribing Pattern of Drugs Used in Myocardial Infarction with Comorbidity and ...
Payal Gavande , Suvarna Bhalerao , Vaishnavi Kulkarni , Prajakta Avhad, Tanishka Kesharwani , Gauri ...
A Prospective Observational Study on Pregnancy-Related Morbidities and the Role ...
K. Jennifer, Dr. J. N. Suresh Kumar , Sk. Nagul Meeravali, Sk. Nusrath Tasleem, M. A Sana, A. Bhavy...
Formulation and Evaluation of Herbal Syrup for Diabetes and Obesity...
Chaitanya Ravan, Dr. Y. R Girbane, Ayodhya Pardhe, Gajanan Mhaske, Aniket Baldode, Shubhekshan Chemt...
More related articles
Impact of Oxycodone Hydrochloride on Cognitive Performance in Wistar Rats: Behav...
Archange Michel Emmanuel Mboungou Malonga, Alice Nzambi Passi Spouse Matete Mounoi, Syrlie Marina Os...
Evaluation of Bhavana Process as a Novel Approach for Improving Solubility of Po...
Tanisha Kale, Kailash Biyani, Hemant Savarkar, Unmesh Joshi...
Impact of Oxycodone Hydrochloride on Cognitive Performance in Wistar Rats: Behav...
Archange Michel Emmanuel Mboungou Malonga, Alice Nzambi Passi Spouse Matete Mounoi, Syrlie Marina Os...
Evaluation of Bhavana Process as a Novel Approach for Improving Solubility of Po...
Tanisha Kale, Kailash Biyani, Hemant Savarkar, Unmesh Joshi...