Frontal Fibrosing Alopecia and Reproductive Health: Assessing the Role of Sex Hormones in Disease Development.
Alexandra-Maria RomanRazvan Cosmin PetcaMihai Cristian DumitrașcuAida PetcaAndreea Iuliana IonescuFlorica ȘandruPublished in: Journal of personalized medicine (2024)
Frontal Fibrosing Alopecia (FFA) is a distinctive form of cicatricial alopecia characterized by gradual hairline recession, predominantly affecting postmenopausal individuals, thus implying a potential hormonal origin. This narrative review, spanning 2000 to 2023, delves into PubMed literature, focusing on the menopausal and hormonal status of women with FFA. The objective is to unravel the intricate nature of FFA and its plausible associations with hormonal dysregulations in women. While menopause remains a pivotal demographic characteristic linked to FFA, existing data suggest that its hormonal imbalances may not fully account for the development of FFA. Conversely, substantial evidence indicates a strong association between a reduction in fertile years, particularly through surgical interventions leading to an abrupt hormonal imbalance, and FFA in women. Additionally, exposure to hormone replacement therapy or oral contraceptives has shown varying degrees of association with FFA. Gynecologists should maintain a heightened awareness regarding the ramifications of their interventions and their pivotal role in overseeing women's fertility, recognizing the potential influence on the progression of FFA. The recurrent theme of hormonal disruption strongly implies a causal connection between alterations in sex hormones and FFA in women. Nevertheless, this relationship's extent and underlying mechanisms remain subjects of ongoing debate.
Keyphrases
- polycystic ovary syndrome
- insulin resistance
- replacement therapy
- pregnancy outcomes
- physical activity
- systematic review
- working memory
- metabolic syndrome
- cervical cancer screening
- adipose tissue
- rheumatoid arthritis
- human health
- smoking cessation
- interstitial lung disease
- risk assessment
- bone mineral density
- electronic health record
- data analysis
- deep learning
- idiopathic pulmonary fibrosis
- african american