Evidence map›Paper›PMID 39360545›Full record

ArticleCurrent drug delivery2025

Betulin-NLC-hydrogel for the Treatment of Psoriasis-like Skin Inflammation: Optimization, Characterisation, and

Dev Prakash, Anjali Chaudhary, Amit Chaudhary

Abstract read
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Article in Current drug delivery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Review
  2. Review
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

3 authors.

Dev PrakashSchool of Pharmacy, Abhilashi University, Mandi, Himachal Pradesh, India.
Anjali ChaudharySchool of Pharmacy, Abhilashi University, Mandi, Himachal Pradesh, India.
Amit ChaudharySchool of Pharmacy, Chitkara University, Baddi, Himachal Pradesh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPsoriasis is a chronic inflammatory skin disorder that poses significant challenges regarding effective and targeted drug delivery. Bioactive substances like betulin have shown tremendous utility in treating these conditions; however, they pose limited utility owing to their physicochemical characteristics. Here, we aimed to develop a novel topical dosage form for treating psoriasis, utilising betulin-loaded Nanostructured lipid carriers (NLCs) incorporated into a hydrogel matrix.

methodsThe optimization of the formulation was meticulously conducted using a design expert-13 software, and its diverse physicochemical attributes were thoroughly examined. Evaluating betulin's

resultsThe NLCs exhibited a pH of 5.67±0.86, particle size of 148.16±12.66 nm, and zeta potential of -22.84±2.37 mV, ensuring stability and suitability for topical use. The gel, with a pH of 6.05±0.43 and viscosity of 17550±120 cPs, showed enhanced skin hydration and lipid restoration. Drug release studies indicated a slower release from NLCs and gel, improving skin retention. Stability tests revealed that the formulations were stable at room temperature but not at elevated temperatures. The

conclusionThe betulin-NLC-hydrogel formulation exhibited promising characteristics for the topical treatment of psoriasis, showcasing optimised drug delivery, sustained release, and notable therapeutic efficacy. The findings from this study provide a foundation for the potential clinical translation of this innovative topical dosage form for improved psoriasis management.

Indexed as

Drug CarriersHydrogelsLipidsNanostructuresPsoriasisTriterpenesAdministration, CutaneousAnimalsBetulinic AcidDrug LiberationFemaleHumansImiquimodInflammationMiceMice, Inbred BALB CbetulinBetulinic AcidDrug CarriersHydrogelsImiquimodLipidsTriterpenesbetulindermal.gelinflammationNLCPsoriasistopical

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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.