Sergio Vano-Galvan

Dr. Sergio Vano-Galvan

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Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 April 2014 in Journal of the American Academy of Dermatology
Verified
Journal Article
Closed access
SVSergio Vano-Galvan
Sergio Vano-Galvan
AMAna M. Molina-Ruiz
Ana M. Molina-Ruiz
CSCristina Serrano-Falcón
Cristina Serrano-Falcón
SASalvador Arias-Santiago
Salvador Arias-Santiago
ARAna R. Rodrigues-Barata
Ana R. Rodrigues-Barata
FCFrancisco M. Camacho
Francisco M. Camacho

1 June 2021 in Journal of the American Academy of Dermatology
Verified
Journal Article
Closed access
SVSergio Vano-Galvan
Sergio Vano-Galvan
RPRodrigo Pirmez
Rodrigo Pirmez
AHAngela Hermosa-Gelbard
Angela Hermosa-Gelbard
ÓMÓscar M. Moreno-Arrones
Óscar M. Moreno-Arrones
DSDavid Saceda-Corralo
David Saceda-Corralo
BBBevin Bhoyrul
Bevin Bhoyrul

2 January 2024 in Journal of the European Academy of Dermatology and Venereology
Verified
Journal Article
Closed access
LRLidia Rudnicka
Lidia Rudnicka
MAM. Arenbergerova
M. Arenbergerova
RGRamon Grimalt
Ramon Grimalt
DIDΙmΙtrios Ioannides
DΙmΙtrios Ioannides
Alexander C. KatoulisAlexander C. Katoulis
Alexander C. Katoulis
AWAnna Waśkiel-Burnat
Anna Waśkiel-Burnat


15 May 2020 in Drug Development Research
Verified
Journal Article
Open access
PDF file
CWCarlos Gustavo Wambier
Carlos Gustavo Wambier
AGAndy Goren
Andy Goren
SVSergio Vano-Galvan
Sergio Vano-Galvan
PRPaulo Müller Ramos
Paulo Müller Ramos
AOAngelina Ossimetha
Angelina Ossimetha
JMJohn McCoy
John McCoy
In this communication, we present arguments for androgen sensitivity as a likely determinant of COVID‐19 disease severity. The androgen sensitivity model explains why males are more likely to develop severe symptoms while children are ostensibly resistant to infection. Further, the model explains the difference in COVID‐19 mortality rates among different ethnicities. Androgen sensitivity is determined by genetic variants of the androgen receptor. The androgen receptor regulates transcription of the transmembrane protease, serine 2 (TMPRSS2), which is required for SARS‐CoV‐2 infectivity. TMPRSS2 primes the Spike protein of the virus, which has two consequences: diminishing viral recognition by neutralizing antibodies and activating SARS‐CoV‐2 for virus‐cell fusion. Genetic variants that have been associated with androgenetic alopecia, prostate cancer, benign prostatic hyperplasia and polycystic ovary syndrome could be associated with host susceptibility. In addition to theoretical epidemiological and molecular mechanisms, there are reports of high rates of androgenetic alopecia of from hospitalized COVID‐19 patients due to severe symptoms. Androgen sensitivity is a likely determinant of COVID‐19 disease severity. We believe that the evidence presented in this communication warrants the initiation of trials using anti‐androgen agents.

2 April 2019 in Skin Appendage Disorders
Verified
Journal Article
Closed access
PDF file
SVSergio Vano-Galvan
Sergio Vano-Galvan
DSDavid Saceda-Corralo
David Saceda-Corralo
UBUlrike Blume-Peytavi
Ulrike Blume-Peytavi
JCJose Cucchía
Jose Cucchía
NDNcoza C. Dlova
Ncoza C. Dlova
MMMariya Miteva
Mariya Miteva
Background: The frequency of different types of alopecia is not clearly reported in recent studies. Objective: To analyze the frequency of the types of alopecia in patients consulting at specialist hair clinics (SHC) and to assess for global variations. Methods: Multicenter retrospective study including data from patients evaluated at referral SHC in Europe, America, Africa and Australia. Results: A total of 2,835 patients (72.7% females and 27.3% males) with 3,133 diagnoses of alopecia were included (73% were non-cicatricial and 27% were cicatricial alopecias). In all, 57 different types of alopecia were characterized. The most frequent type was androgenetic alopecia (AGA) (37.7%), followed by alopecia areata (AA) (18.2%), telogen effluvium (TE) (11.3%), frontal fibrosing alopecia (FFA) (10.8%), lichen planopilaris (LPP) (7.6%), folliculitis decalvans (FD) (2.8%), discoid lupus (1.9%) and fibrosing alopecia in a pattern distribution (FAPD) (1.8%). There was a male predominance in patients with acne keloidalis nuchae, dissecting cellulitis and FD, and female predominance in traction alopecia, central centrifugal cicatricial alopecia, FFA, TE, FAPD and LPP. Conclusion: AGA followed by AA and TE were the most frequent cause of non-cicatricial alopecia, while FFA was the most frequent cause of cicatricial alopecia in all studied geographical areas.