Scientia Pharmaceutica

Benign prostatic hyperplasia (BPH) and prostatitis are multifactorial urological disorders associated with chronic inflammation, oxidative stress, and androgenic imbalance. Dysphania ambrosioides (L.) Mosyakin & Clemants contains flavonoids and phenolic acids with well-recognised antioxidant and anti-inflammatory properties; however, its potential activity against the molecular targets of these prostatic disorders has not been systematically evaluated. A comparative quantitative analysis was performed using studies published between 2005 and 2025 that reported antioxidant activity (DPPH assay, IC₅₀ in µg/mL) of D. ambrosioides extracts. Metabolites from extracts with IC₅₀ values below the global mean (398.410 ± 81.810 µg/mL; n = 35) were selected for in silico prioritisation using OSIRIS, PASS, and ProTox 3.0, followed by molecular docking (CB-Dock2) against AR, 5AR2, COX-2, NLRP3, and α1A receptors. Luteolin and rosmarinic acid showed favourable binding energies (−9.5 to −7.7 kcal/mol) comparable in magnitude to reference drugs (finasteride −13.4, celecoxib −11.4, tamsulosin −7.3 kcal/mol). These metabolites, exhibited affinity for androgenic, inflammatory, and adrenergic targets, suggesting their potential to modulate key mechanisms underlying both BPH and prostatitis. This study integrates, for the first time, a quantitative assessment of antioxidant activity with a multitarget in silico analysis of D. ambrosioides, prioritising luteolin and rosmarinic acid as natural candidates with potential antioxidant, anti-inflammatory, and antiandrogenic properties relevant to prostatic health.

Bioactive ingredients are compounds, typically derived from natural sources, that provide specific health benefits or perform certain beneficial functions. Although they can play a role in maintaining good health, their effects can vary widely based on a person’s specific genotype and phenotype, leading to situations where certain ingredients induce beneficial responses for some individuals but not others. Herein, we report a method for the rapid discovery of relationships between genes, bioactive ingredients, and physiological effects. First, RNA-Seq was performed after applying 6 plant-derived ingredients to a three-dimensional skin model. After determining expression changes for each ingredient, these changes were ranked and visualized using score-based prediction models. Based on our analysis, we were able to quickly determine and visualize the effect (or lack thereof) of the ingredients on gene expression. Our findings demonstrate the utility of combining RNA-Seq with score-based models and visualizations for screening bioactive ingredients by gene expression, visualizing their impact based on ingredient or physiological effect, and the applicability of this method to any bioactive ingredient for rapid determination of potential ingredients relevant to maintaining health and wellness.

Diabetes mellitus (DM) is a disease that affects over 537 million people worldwide and results in 6.7 million deaths annually. Conventional treatment of this disease focuses on lifestyle changes and drug administration. However, very few people can adhere to a healthier lifestyle, and drugs are difficult to access, especially in low- and middle-income countries. An alternative as an adjuvant to the treatment of DM is the phenolic compounds from plants with reported anti-diabetic effects. However, the bioavailability of these compounds is very low since they are affected by the gastrointestinal tract and xenobiotic metabolism. To improve the availability of these compounds, an emerging technology such as encapsulation is being used since it has been reported that the encapsulation of phenolic compounds improves both their bioaccessibility and bioavailability, as well as their bioactivity. In this review, we will focus on compiling the most up-to-date information on the different encapsulation processes of phenolic compounds and the antidiabetic effect of encapsulated phenolic compounds using the databases PubMed, Scopus, Web of Science, and Google Scholar. We will discuss the mechanisms, pathways, and receptors involved in the modulation of DM, especially those related to inflammation, oxidative stress, and insulin resistance.