Could polyphenols be an effective treatment in the management of polycystic ovary syndrome?
Esra IrmakNazlı Tunca SanlierNevin SanlierPublished in: International journal for vitamin and nutrition research. Internationale Zeitschrift fur Vitamin- und Ernahrungsforschung. Journal international de vitaminologie et de nutrition (2024)
Polycystic ovary syndrome (PCOS), is a health problem observed in women of reproductive age. Different diets, physical activity recommendations and lifestyle changes can be effective in dealing with the symptoms of PCOS. Nutrition is indeed an essential part of the treatment of the disease as it directly affects body weight loss, insulin resistance, lipid profile, hormones, and dermatological complaints such as acne. Polyphenols, simply classified as flavonoids and non-flavonoids, are bioactive components found in plant-based foods. The most common polyphenols in the diet are flavanols, flavonols, flavanone, anthocyanins. In particular, polyphenols which are compounds naturally found in foods, have antioxidant, anticancer, anti-inflammatory, antimutagenic benefits along with many other ones. In the treatment of PCOS, polyphenols may help reduce the symptoms, improve insulin resistance and poor lipid profile, and cure hormonal disorders. It has been reported that polyphenols are influential in menstrual cycle disorders and enable a decrease in body weight, hyperandrogenism, estrogen, testosterone, luteinizing hormone (LH)/follicle stimulating hormone (FSH) ratios and LH. For adequate daily intake of polyphenols, which are found in high amounts in fruits and vegetables, at least 5 portions of fruits and vegetables should be consumed in addition to a healthy nutrition pattern. In this review, the effects of various polyphenols on polycystic ovary syndrome are discussed.
Keyphrases
- polycystic ovary syndrome
- insulin resistance
- physical activity
- weight loss
- metabolic syndrome
- adipose tissue
- high fat diet
- body weight
- skeletal muscle
- anti inflammatory
- public health
- type diabetes
- high fat diet induced
- bariatric surgery
- risk assessment
- body mass index
- sleep quality
- cardiovascular disease
- depressive symptoms
- estrogen receptor
- social media
- heavy metals
- health risk
- weight gain
- health risk assessment