Evidence map›Paper›PMID 30416362›Full record

ReviewSaudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society2018

Somatostatin receptors as a new active targeting sites for nanoparticles.

Ahmed A H Abdellatif, Sa'ed M Aldalaen, Waleed Faisal, Hesham M Tawfeek

Open access · hybridAbstract readReview
In one paragraph

Review in Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.6field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 25 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 4 institutions in 4 countries.

Ahmed A H AbdellatifDepartment of Pharmaceutics and Industrial Pharmacy, Faculty of Pharmacy, Al-Azhar University, Assiut 71524, Egypt.
Sa'ed M AldalaenDepartment of Pharmaceutics and Pharmaceutical Technology, Faculty of Pharmacy, Mutah University, Mutah, Al-Karak 61710, Jordan.
Waleed FaisalDepartment of Pharmaceutics, Faculty of Pharmacy, Minia University, Minia, Egypt.
Hesham M TawfeekDepartment of Pharmaceutics and Pharmaceutical Technology, Faculty of Pharmacy, Mutah University, Mutah, Al-Karak 61710, Jordan.
Assiut University · EGMinia University · EGMutah University · JOQassim University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The delivery of nanoparticles through receptor-mediated cell interactions has nowadays a major attention in the area of drug targeting applications. This specific kind of targeting is mediated by localized receptors impeded into the target site with subsequent drugs internalization. Hence, this type of interaction would diminish side effects and enhance drug delivery efficacy to the target site. Somatostatin receptors (SSTRs) are one type of G protein-coupled receptors, which could be active targeted for various purposes. There are five SSTRs types (SSTR1-5) which are localized at various organs in the body and spread into different tissues. SSTRs could be considered as a promising target to various nanoparticles which is facilitated when nanoparticles are modified through specific ligand or coating to allow better binding. This review discusses the exploration of SSTRs for active targeting of nanoparticles with certain emphasize on their interaction at the cellular level.

Indexed as

Active targetingCellular uptakeNanoparticlesSomatostatin analoguesSomatostatin receptors

Identifiers

PMID30416362
PMCPMC6218373
OpenAlexW2805943901

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.