Evidence map›Paper›PMID 40790009›Full record

ArticleAAPS PharmSciTech2025

Development of a pH Gradient Dissolution Condition to Predict the Behavior of Delayed Release Formulations under Fed In Vivo Condition.

Juilee Kulkarni, Usha Nayak, Bibhuranjan Panigrahi, Sajeev Chandran

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Article in AAPS PharmSciTech, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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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

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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

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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

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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.

Juilee KulkarniDepartment of Pharmaceutics Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
Usha NayakDepartment of Pharmaceutics Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
Bibhuranjan PanigrahiIVIVC and Biopharmaceutics Group, Pharmaceutical R & D, Lupin Limited, 46/47A, Nande Village, Mulshi Taluka, Pune, 412115, India.
Sajeev ChandranIVIVC and Biopharmaceutics Group, Pharmaceutical R & D, Lupin Limited, 46/47A, Nande Village, Mulshi Taluka, Pune, 412115, India. sajeevchandran@lupin.com.ORCID http://orcid.org/0000-0002-5594-0003

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To deliver Mesalamine (MSA) in the treatment of Ulcerative Colitis (UC) at the targeted site of action, numerous modified release formulations have been developed to release the drug in colon that are coated with pH dependent delayed release (DR) polymer. Such pH dependent formulations have a significant degree of unpredictability in terms of their drug release as the intraluminal pH varies with population. Also, postprandial administration of such formulations pose unpredictable drug release patterns when compared to the fasted state. Available in vitro methods overlook physiological aspects impacting drug release and lack the ability to predict the in vivo performance of a test formulation. Here, we have developed a discriminatory/ bio-predictive dissolution (DBD) method for a DR formulation of MSA that considers postprandial GI pH gradient, ionic strength and surfactant concentration to discriminate test formulations based on their in vivo behaviour. The required pH gradient, time of treatment, use of osmotic agent and bio-relevant surfactants was optimized based on comparative in vivo observations of reference and test formulations. A linear relationship between formulation variable (amount of release controlling polymer) and in vitro drug release in the developed dissolution condition was observed (regression coefficient > 0.99). Further, a Level A in vitro in vivo correlation (IVIVIC) was developed using in vivo pharmacokinetic data (PK) from a bioequivalence (BE) study and in vitro drug release from the developed dissolution method to predict the behavior of test formulations with average prediction error less than 10%.

Indexed as

Delayed-Action PreparationsMesalamineChemistry, PharmaceuticalColitis, UlcerativeDrug LiberationHumansHydrogen-Ion ConcentrationMaleOsmolar ConcentrationPolymersPostprandial PeriodSolubilitySurface-Active AgentsDelayed-Action PreparationsMesalaminePolymersSurface-Active Agentsbio-predictive methodbiorelevant surfactantsIVIVCosmolalitypH-gradient dissolution

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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.