Evidence map›Paper›PMID 38931937›Full record

ArticlePharmaceutics2024

Improving the Solubility and Bioavailability of Progesterone Cocrystals with Selected Carboxylic Acids.

Jing Xiong, Dezhong Xu, Hui Zhang, Yan Shi, Xiangxiang Wu, Sicen Wang

Abstract read
In one paragraph

Article in Pharmaceutics, 2024. 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

6 authors.

Jing XiongSchool of Pharmacy, Health Science Center, Xi'an Jiaotong University, Xi'an 710061, China.
Dezhong XuKey Laboratory of Radiopharmaceuticals of Ministry of Education, College of Chemistry, Beijing Normal University, Beijing 100875, China.
Hui ZhangPharmacy College, Henan University of Chinese Medicine, Zhengzhou 450046, China.
Yan ShiInstitute for Chinese Traditional Medicine Control, National Institutes for Food and Drug Control, Beijing 102629, China.
Xiangxiang WuPharmacy College, Henan University of Chinese Medicine, Zhengzhou 450046, China.ORCID 0000-0003-3623-1161
Sicen WangSchool of Pharmacy, Health Science Center, Xi'an Jiaotong University, Xi'an 710061, China.

Funding

Academic Leadership Development Foundation of NIFDC 2017X4Henan Provincial Science and Technology Research and Development Plan Joint Fund 222301420060
6 · The paper itself

Abstract

Progesterone (PROG) is a natural steroid hormone with low solubility and high permeability that belongs to biopharmaceutics classification system class II. In this study, novel pharmaceutical cocrystals of PROG were successfully prepared by solvent evaporation or a liquid-assisted grinding process aimed at enhancing its solubility and bioavailability. The cocrystal formers selected based on crystal engineering principles were carboxylic acids, namely, 4-formylbenzeneboronic acid (BBA), isophthalic acid (IPA), and 3-nitrophthalic acid (NPA). The cocrystal structures were characterized using multiple techniques. Single-crystal X-ray diffraction results showed that the carbonyl group, acting as a hydrogen bond acceptor, was pivotal in the cocrystal network formation, with C-H···O interactions further stabilizing the crystals. The cocrystals exhibited improved solubility and dissolution profiles in vitro, with no significant changes in hygroscopicity. The parallel artificial membrane permeability assay (PAMPA) models indicated that the cocrystals retained PROG's high permeability. Pharmacokinetic studies in Sprague-Dawley rats revealed that all cocrystals increased PROG exposure, with AUC

Indexed as

crystal engineeringoral bioavailabilitypermeabilitypharmaceutical cocrystalprogesteronesolubility

Identifiers

PMID38931937
PMCPMC11207217

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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.