Fluorescent Nanoparticles Coated with a Somatostatin Analogue Target Blood Monocyte for Efficient Leukaemia Treatment.


Journal

Pharmaceutical research
ISSN: 1573-904X
Titre abrégé: Pharm Res
Pays: United States
ID NLM: 8406521

Informations de publication

Date de publication:
09 Oct 2020
Historique:
received: 07 05 2020
accepted: 23 09 2020
entrez: 10 10 2020
pubmed: 11 10 2020
medline: 15 7 2021
Statut: epublish

Résumé

Leukaemia is the most prevalent form of cancer-causing death in a large number of populations and needs prompt and effective treatment. Chemotherapeutics can be used to treat leukaemia, but their pronounced killing effects to other living cells is still an issue. Active targeting to certain specific receptors in leukaemic cells is the best way to avoid damage to other living cells. Leukaemic cells can be targeted using novel nanoparticles (NPs) coated with a specific ligand, such as octreotide (OCD), to target somatostatin receptor type 2 (SSTR Amino-PEGylated quantum dots (QDs) were chosen as model NPs. The QDs were first succinylated using succinic anhydride and then coated with OCD. The reactivity and selectivity of the formulated QDs-OCD were studied in cell lines with well-expressed SSTR Highly stable QDs coated with OCD were prepared. FACS and CLSM showed highly definite interactions with overexpressed SSTR The formulated novel QDs-OCD can target SSTR

Sections du résumé

BACKGROUND BACKGROUND
Leukaemia is the most prevalent form of cancer-causing death in a large number of populations and needs prompt and effective treatment. Chemotherapeutics can be used to treat leukaemia, but their pronounced killing effects to other living cells is still an issue. Active targeting to certain specific receptors in leukaemic cells is the best way to avoid damage to other living cells. Leukaemic cells can be targeted using novel nanoparticles (NPs) coated with a specific ligand, such as octreotide (OCD), to target somatostatin receptor type 2 (SSTR
METHODS METHODS
Amino-PEGylated quantum dots (QDs) were chosen as model NPs. The QDs were first succinylated using succinic anhydride and then coated with OCD. The reactivity and selectivity of the formulated QDs-OCD were studied in cell lines with well-expressed SSTR
RESULTS RESULTS
Highly stable QDs coated with OCD were prepared. FACS and CLSM showed highly definite interactions with overexpressed SSTR
CONCLUSION CONCLUSIONS
The formulated novel QDs-OCD can target SSTR

Identifiants

pubmed: 33037505
doi: 10.1007/s11095-020-02938-1
pii: 10.1007/s11095-020-02938-1
doi:

Substances chimiques

Antineoplastic Agents 0
Fluorescent Dyes 0
Receptors, Somatostatin 0
SSTR2 protein, human 0
Sstr2 protein, mouse 0
Octreotide RWM8CCW8GP

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

217

Auteurs

Ahmed A H Abdellatif (AAH)

Department of Pharmaceutics, College of Pharmacy, Qassim University, Buraydah, 51452, Qassim, Kingdom of Saudi Arabia. a.abdellatif@qu.edu.sa.
Department of Pharmaceutics and Industrial Pharmacy, Faculty of Pharmacy, Al-Azhar University, Assiut, 71524, Egypt. a.abdellatif@qu.edu.sa.
Department of Pharmaceutical Technology Department, Faculty of Chemistry and Pharmacy, Regensburg University, 93040, Regensburg, Germany. a.abdellatif@qu.edu.sa.

Robert Hennig (R)

Department of Pharmaceutical Technology Department, Faculty of Chemistry and Pharmacy, Regensburg University, 93040, Regensburg, Germany.

Klaus Pollinger (K)

Department of Pharmaceutical Technology Department, Faculty of Chemistry and Pharmacy, Regensburg University, 93040, Regensburg, Germany.

Hesham M Tawfeek (HM)

Department of Industrial Pharmacy, Faculty of Pharmacy, Assiut University, 71526 Assiut, Egypt.

Abdellatif Bouazzaoui (A)

Department of Medical Genetics, Faculty of Medicine, Umm Al-Qura University, P.O. Box 715, Makkah, 21955, Saudi Arabia.
Science and Technology Unit, Umm Al Qura University, P.O. Box 715, Makkah, 21955, Saudi Arabia.

Achim Goepferich (A)

Department of Pharmaceutical Technology Department, Faculty of Chemistry and Pharmacy, Regensburg University, 93040, Regensburg, Germany.

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Classifications MeSH