Abstract
Psoriasis, recognized as a chronic inflammatory skin disorder, disrupts immune system functionality. Global estimates by the World Psoriasis Day consortium indicate its impact on approximately 130 million people, constituting 4 to 5 percent of the worldwide population. Conventional drug delivery systems, mainly designed to alleviate psoriasis symptoms, fall short in achieving targeted action and optimal bioavailability due to inherent challenges such as the drug’s brief half-life, instability, and a deficiency in ensuring both safety and efficacy. Liposomes, employed in drug delivery systems, emerge as highly promising carriers for augmenting the therapeutic efficacy of topically applied drugs. These small unilamellar vesicles demonstrate enhanced penetration capabilities, facilitating drug delivery through the stratum corneum layer of skin. This comprehensive review article illuminates diverse facets of liposomes as a promising drug delivery system to treat psoriasis. Addressing various aspects such as formulation strategies, encapsulation techniques, and targeted delivery, the review underscores the potential of liposomes in enhancing the efficacy and specificity of psoriasis treatments.
Acknowledgments
The authors acknowledge the support provided by Ganpat University to provide necessary infrastructure. Dr. Prajapati, extends his sincere appreciation to the Faculty of Pharmacy, Silpakorn University, Thailand, for their generous financial support that enabled the completion of this work.
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Research ethics: Not applicable.
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Author contributions: Devesh U. Kapoor: writing, visualization, Rahul Garg: writing, visualization, Rahul Maheshwari: writing, visualization, Mansi Gaur: writing, visualization, Deepak Sharma: writing, visualization, Bhupendra G. Prajapati: project supervision, review, editing and proof reading.
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Competing interests: The authors state no conflict of interest.
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Research funding: None.
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Data availability: Not applicable.
References
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Articles in the same Issue
- Frontmatter
- Review Articles
- Advancing psoriasis drug delivery through topical liposomes
- Hepatoprotective activity of medicinal plants, their phytochemistry, and safety concerns: a systematic review
- Research Articles
- Phytochemical profile and antioxidant capacity of the endemic species Bellevalia sasonii Fidan
- In silico molecular modeling and in vitro biological screening of novel benzimidazole-based piperazine derivatives as potential acetylcholinesterase and butyrylcholinesterase inhibitors
- Coenzyme Q10 supplementation affects cellular ionic balance: relevance to aging
- Revolutionizing the probiotic functionality, biochemical activity, antibiotic resistance and specialty genes of Pediococcus acidilactici BCB1H via in-vitro and in-silico approaches
- Synthesis of modified Schiff base appended 1,2,4-triazole hybrids scaffolds: elucidating the in vitro and in silico α-amylase and α-glucosidase inhibitors potential
- Redefining a new frontier in alkaptonuria therapy with AI-driven drug candidate design via in-silico innovation
Articles in the same Issue
- Frontmatter
- Review Articles
- Advancing psoriasis drug delivery through topical liposomes
- Hepatoprotective activity of medicinal plants, their phytochemistry, and safety concerns: a systematic review
- Research Articles
- Phytochemical profile and antioxidant capacity of the endemic species Bellevalia sasonii Fidan
- In silico molecular modeling and in vitro biological screening of novel benzimidazole-based piperazine derivatives as potential acetylcholinesterase and butyrylcholinesterase inhibitors
- Coenzyme Q10 supplementation affects cellular ionic balance: relevance to aging
- Revolutionizing the probiotic functionality, biochemical activity, antibiotic resistance and specialty genes of Pediococcus acidilactici BCB1H via in-vitro and in-silico approaches
- Synthesis of modified Schiff base appended 1,2,4-triazole hybrids scaffolds: elucidating the in vitro and in silico α-amylase and α-glucosidase inhibitors potential
- Redefining a new frontier in alkaptonuria therapy with AI-driven drug candidate design via in-silico innovation