Relationship between androgenic alopecia and white matter hyperintensities in apparently healthy subjects.
Hatice Ayca Ata KorkmazPublished in: Brain imaging and behavior (2021)
A healthy brain is essential for living a longer and fuller life. Detecting asymptomatic white matter hyperintensities (WMHs) may be clinically important in terms of treatment and prognostic evaluation. WMHs in brain may reflect brain aging. Androgenic alopecia (AGA) is associated with significant cardiovascular risk factors that also have a negative impact on brain aging. The main purpose of present study was to know whether alopecia might provide predictive information of WMHs that may be considered as a surrogate marker of cerebral small vessel disease which is related to arteriolosclerosis and vascular risk factors. From January 2017 to March 2018, 256 cases were enrolled consecutively. Patients under 18 years old, older than 90 years old, known to be affected by neurodegenerative diseases, demyelinating disorders or stroke and/or a brain tumor, were excluded from the study. A 4-point cerebral white matter Magnetic Resonance Imaging (MRI) hyperintensities scoring system, the Fazekas scale, was used to evaluate brain aging. Presence of AGA was evaluated with inspection according to Hamilton-Norwood classification system (grade I to VII). Two hundred eleven (82%) of individuals had mild alopecia (grade I, II, III), 28 (11%) had moderate alopecia (grade IV, V) and 17 (7%) had severe alopecia (grade VI, VII). Frequency of abnormal WMHs was significantly higher in patients with AGA compared to the without AGA. Hypertension (HT) (95% confidence interval [CI]: 1.873-9.487, p < 0.001) and the AGA (95% CI: 2.989-12.916, p < 0.0001) were independent determinants of abnormal WMHs. AGA may be regarded as a surrogate marker of asymptomatic WMHs which is related to arteriolosclerosis and vascular risk factors that has a significant impact on people's life.
Keyphrases
- white matter
- multiple sclerosis
- magnetic resonance imaging
- risk factors
- cardiovascular risk factors
- resting state
- cerebral ischemia
- subarachnoid hemorrhage
- end stage renal disease
- computed tomography
- ejection fraction
- blood pressure
- newly diagnosed
- physical activity
- functional connectivity
- cardiovascular disease
- magnetic resonance
- diffusion weighted imaging
- social media
- peritoneal dialysis
- blood brain barrier
- combination therapy