Harnessing plant metabolic pathways for innovative diabetes management: unlocking the therapeutic potential of medicinal plants

Plant Signaling & Behavior, Journal Year: 2025, Volume and Issue: 20(1)

Published: April 7, 2025

The exploration of plant signaling pathways is transforming the way diabetes managed, providing new, multi-target strategies for controlling this complex metabolic disorder. Medicinal plants are rich in bioactive compounds like phytohormones, flavonoids and polyphenols, which regulate key including oxidative stress, inflammation, insulin resistance, gut microbiota modulation. Research emerging on therapeutic potential Momordica charantia, Cinnamomum verum Trigonella foenum-graecum, enhance secretion, sensitivity glucose homeostasis. These derived compounds, resveratrol based mimetics, not only address dysfunction but also offer holistic treatment long term complications such as neuropathy retinopathy. development precision medicine advances tailoring therapies to individual responses, increasing efficacy decreasing reliance synthetic drugs with adverse side effects. Despite challenges standardization, regulatory barriers, limited clinical trials, incorporating medicinal into national management guidelines represents a cost effective accessible option, particularly resource settings. In review, we highlight importance collaborative work across disciplines use technologies artificial intelligence speed research optimize patient specific applications. power harnessed develop sustainable, inclusive, strategies.

Language: Английский

Artificial Intelligence in Central-Peripheral Interaction Organ Crosstalk: The Future of Drug Discovery and Clinical Trials

Pharmacological Research, Journal Year: 2025, Volume and Issue: unknown, P. 107734 - 107734

Published: April 1, 2025

Drug discovery before the 20th century often focused on single genes, molecules, cells, or organs, failing to capture complexity of biological systems. The emergence protein-protein interaction network studies in 2001 marked a turning point and promoted holistic approach that considers human body as an interconnected system. This is particularly evident study bidirectional interactions between central nervous system (CNS) peripheral which are critical for understanding health disease. Understanding these complex requires integrating multi-scale, heterogeneous data from molecular organ levels, encompassing both omics (e.g., genomics, proteomics, microbiomics) non-omics imaging, clinical phenotypes). Artificial intelligence (AI), multi-modal models, has demonstrated significant potential analyzing CNS-peripheral by processing vast, datasets. Specifically, AI facilitates identification biomarkers, prediction therapeutic targets, simulation drug effects multi-organ systems, thereby paving way novel strategies. review highlights AI's transformative role research, focusing its applications unraveling disease mechanisms, discovering optimizing trials through patient stratification adaptive trial design.

Language: Английский