Evidence map›Paper›PMID 40873211›Full record

ArticleAnti-inflammatory & anti-allergy agents in medicinal chemistry2025

Optimization and

Akash Garg, Chetan Singh Chauhan, Rohitas Deshmukh, Rutvi Agrawal

Abstract read
PubMed Publisher
In one paragraph

Article in Anti-inflammatory & anti-allergy agents in medicinal chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Akash GargBhupal Noble's University, New Shiv Nagar, Central Area, Udaipur, 313001, Rajasthan, India.
Chetan Singh ChauhanBhupal Noble's University, New Shiv Nagar, Central Area, Udaipur, 313001, Rajasthan, India.
Rohitas DeshmukhInstitute of Pharmaceutical Research, GLA University, Mathura, 281406, Uttar Pradesh, India.
Rutvi AgrawalBhupal Noble's University, New Shiv Nagar, Central Area, Udaipur, 313001, Rajasthan, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe low solubility and permeability of tetrahydrocurcumin act as a barrier in its therapeutic effectiveness, particularly in the topical treatment of skin diseases like psoriasis.

methodsNiosomes were prepared using thin-film hydration method using span 60, cholesterol as independent variables in Box Behnken design. Particle size, entrapment efficiency and drug loading were taken as dependent variables. In Box Behnken design the levels are -1, 0, and +1. The values for span 60 are 50, 75, and 100mg and for cholesterol 10, 20, and 30mg.

resultsThe optimized formulation has a particle size of 116.9 nm, entrapment efficiency of 94.7% and, drug loading of 85.23%. The niosomes showed first-order release kinetics property and maintained stability at 4℃ and 25℃ for three months. The desirability score obtained was 0.896. DISCUSSION: The optimized niosomal formulation enhanced THC's solubility, permeability, and stability, supporting its potential for effective topical psoriasis treatment. Future studies will focus on in situ gel incorporation and in vivo validation.

conclusionThe developed formulation significantly improves the solubility and permeability of tetrahydrocurcumin which leads to improved therapeutic effectiveness in the formulation for the treatment of psoriasis. Further studies will incorporate these niosomes in in situ gels for the application.

Indexed as

CurcuminLiposomesPsoriasisCholesterolDrug LiberationDrug StabilityHexosesHumansParticle SizePermeabilitySolubilityCholesterolCurcuminHexosesLiposomestetrahydrocurcumincholesterolkinetics.nanotechnologyNiosomesoptimizationparticle size

Identifiers

What OpenQuestion holds

Textmetadata
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.