Evidence map›Paper›PMID 35335851›Full record

ArticlePharmaceutics2022

Cucumber-Derived Exosome-like Vesicles and PlantCrystals for Improved Dermal Drug Delivery.

Abraham M Abraham, Sabrina Wiemann, Ghazala Ambreen, Jenny Zhou, Konrad Engelhardt, Jana Brüßler, Udo Bakowsky, Shu-Ming Li, Robert Mandic, Gabriella Pocsfalvi and 1 more

Abstract read
In one paragraph

Article in Pharmaceutics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

57 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  14. Hydroxypropyl methylcellulose stearoxy ether hydrogel loaded withFrontiers in bioengineering and biotechnology · 2026
    Article
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  19. Silymarin PlantCrystals for Improved Dermal Drug Delivery.Bioengineering (Basel, Switzerland) · 2025
    Article
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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

11 authors.

Abraham M AbrahamDepartment of Pharmaceutics and Biopharmaceutics, Philipps-Universität Marburg, Robert-Koch-Str. 4, 35037 Marburg, Germany.
Sabrina WiemannDepartment of Pharmaceutics and Biopharmaceutics, Philipps-Universität Marburg, Robert-Koch-Str. 4, 35037 Marburg, Germany.
Ghazala AmbreenDepartment of Pharmaceutics and Biopharmaceutics, Philipps-Universität Marburg, Robert-Koch-Str. 4, 35037 Marburg, Germany.ORCID 0000-0002-4370-8434
Jenny ZhouDepartment of Pharmaceutical Biology and Biotechnology, Philipps-Universität Marburg, Robert-Koch-Str. 4, 35037 Marburg, Germany.
Konrad EngelhardtDepartment of Pharmaceutics and Biopharmaceutics, Philipps-Universität Marburg, Robert-Koch-Str. 4, 35037 Marburg, Germany.
Jana BrüßlerDepartment of Pharmaceutics and Biopharmaceutics, Philipps-Universität Marburg, Robert-Koch-Str. 4, 35037 Marburg, Germany.ORCID 0000-0002-9911-0511
Udo BakowskyDepartment of Pharmaceutics and Biopharmaceutics, Philipps-Universität Marburg, Robert-Koch-Str. 4, 35037 Marburg, Germany.ORCID 0000-0002-3895-0453
Shu-Ming LiDepartment of Pharmaceutical Biology and Biotechnology, Philipps-Universität Marburg, Robert-Koch-Str. 4, 35037 Marburg, Germany.ORCID 0000-0003-4583-2655
Robert MandicDepartment of Otorhinolaryngology, Head and Neck Surgery, Campus Marburg, University Hospital Giessen and Marburg, Baldingerstrasse, 35033 Marburg, Germany.ORCID 0000-0003-2379-5515
Gabriella PocsfalviEVs & MS Research Group, Institute of Biosciences and BioResources (IBBR), National Research Council of Italy, (CNR), 80131 Napoli, Italy.ORCID 0000-0001-6065-3853
Cornelia M KeckDepartment of Pharmaceutics and Biopharmaceutics, Philipps-Universität Marburg, Robert-Koch-Str. 4, 35037 Marburg, Germany.ORCID 0000-0001-8888-2340

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

(1) Background: Extracellular vesicles (EVs) are considered to be efficient nanocarriers for improved drug delivery and can be derived from mammalian or plant cells. Cucumber-derived EVs are not yet described in the literature. Therefore, the aim of this study was to produce and characterize cucumber-derived EVs and to investigate their suitability to improve the dermal penetration efficacy of a lipophilic active ingredient (AI) surrogate. (2) Methods: The EVs were obtained by classical EVs isolation methods and by high pressure homogenization (HPH). They were characterized regarding their physico-chemical and biopharmaceutical properties. (3) Results: Utilization of classical isolation and purification methods for EVs resulted in cucumber-derived EVs. Their dermal penetration efficacy for the AI surrogate was 2-fold higher when compared to a classical formulation and enabled a pronounced transdermal penetration into the viable dermis. HPH resulted in submicron sized particles composed of a mixture of disrupted plant cells. A successful isolation of pure EVs from this mixture was not possible with classical EVs isolation methods. The presence of EVs was, therefore, proven indirectly. For this, the lipophilic drug surrogate was admixed to the cucumber juice either prior to or after HPH. Admixing of the drug surrogate to the cucumber prior to the HPH resulted in a 1.5-fold increase in the dermal penetration efficacy, whereas the addition of the AI surrogate to the cucumber after HPH was not able to improve the penetration efficacy. (4) Conclusions: Results, therefore, indicate that HPH causes the formation of EVs in which AI can be incorporated. The formation of plant EVs by HPH was also indicated by zeta potential analysis.

Indexed as

cucumbercucumber juice derived exosome-like vesiclesextracellular vesicles (EVs)high pressure homogenizationPlantCrystalstransdermal drug delivery

Identifiers

PMID35335851
PMCPMC8955785

What OpenQuestion holds

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Registered trials

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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.