ArticleScientific reports2025
Phytochemical characterization and bioinformatics guided evaluation of antioxidant and cytotoxic effects of Psoralea bituminosa.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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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.
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Who cites it
1 citing paper in PubMed.
- Solvent-Based Extraction Recovers Phytochemicals from Medicinal Plants Demonstrating Anticancer and Chemopreventive Potential: A Review.Molecules (Basel, Switzerland) · 2026Review
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Authors and funding
5 authors.
Funding
Abstract
Psoralea bituminosa L. (Fabaceae) is a medicinal plant traditionally used for its antimicrobial, antihyperglycemic, and antioxidant effects. This study investigated its anticancer and antioxidant potential using aqueous and methanol extracts. The methanol extract exhibited higher total phenol (81.57 mg/g) and total flavonoid (39.06 mg/g) contents compared to the aqueous extract. Antioxidant activity, assessed via the DPPH assay, showed moderate potency (IC₅₀: 330.77 µg/mL for aqueous- and 348.27 µg/mL for methanol extracts). Notably, the methanol extract demonstrated significant cytotoxicity against multiple cancer cell lines (IC₅₀: 27.73-53.90 µg/mL) particularly against A549, MDA-MB231, and PC3. Liquid chromatography-mass spectrometry (LC-MS) profiling revealed abundant flavonoids and isoflavones such as daidzein, biochanin A, and 7,3'-dimethoxy-5,6,4' trihydroxyisoflavone in the methanol extract, correlating with its anticancer effects. In contrast, glycosylated flavonoids in the aqueous extract aligned with antioxidant activity. Cheminformatics clustering supported these findings, identifying distinct structural groups with differing drug-likeness scores. Bioinformatics analysis further identified transcriptomic signatures enriched in oxidative phosphorylation and key cancer-related pathways (e.g., TP53, PI3K, NRF2, and MYC), offering mechanistic insight. This integrative approach combining LC-MS, cheminformatics, and bioinformatics provides a cost-effective framework for decoding phytochemical bioactivity and guiding natural product-based drug discovery.
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Registered trials
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 Socratic graph.