Hesperidin in Chronic Fatigue Syndrome: An Integrated Analysis of Traditional Pharmacology and Machine Learning–Based Therapeutic Predictions

Abstract

Hesperidin, a bioflavonoid abundantly found in citrus fruits, offers a myriad of health benefits. With the food industry extensively utilizing citrus fruits, particularly for juice production, substantial quantities of by-products such as peels, seeds, cells, and membrane residues accumulate. Remarkably, these by-products serve as a valuable source of hesperidin. Consequently, the extraction of hesperidin from these by-products has garnered significant scientific interest, aiming to harness its potential as a natural antioxidant. By shedding light on these aspects, this review provides a comprehensive review of hesperidin's role in enhancing human well-being, particularly in the context of chronic fatigue syndrome (CFS). By synthesizing current research, we elucidate the compound's antioxidant, anti-inflammatory, and neuroprotective effects, which may mitigate symptoms associated with CFS. Furthermore, we introduce machine learning methodologies to predict hesperidin's efficacy in clinical settings, offering a novel perspective on personalized nutrition strategies. Our findings underscore the need for further empirical studies to validate these predictions and explore hesperidin's mechanisms of action. This review not only bridges the gap between nutrition science and pharmacology but also highlights the promising future of hesperidin as a nutraceutical in combating chronic health conditions.