Abstract
Biological assessment of abnormal genitalia is based on an ordered sequence of endocrine
and genetic investigations that are predicated on knowledge obtained from a suitable
history and detailed examination of the external genital anatomy. Investigations are
particularly relevant in 46,XY DSD where the diagnostic yield is less successful than
in the 46,XX counterpart. Advantage should be taken of spontaneous activity of the
pituitary-gonadal axis in early infancy rendering measurements of gonadotrophins and
sex steroids by sensitive, validated assays key to assessing testicular function.
Allied measurement of serum anti-Müllerian hormone completes a comprehensive testis
profile of Leydig and Sertoli cell function.
Genetic assessment is dominated by analysis of a plethora of genes that attempts to
delineate a cause for gonadal dysgenesis. In essence, this is successful in up to
20% of cases from analysis of SRY and SF1 (NR5A1) genes. In contrast, gene mutation
analysis is highly successful in 46,XY DSD due to defects in androgen synthesis or
action. The era of next generation sequencing is increasingly being applied to investigate
complex medical conditions of unknown cause, including DSD. The challenge for health
professionals will lie in integrating vast amounts of genetic information with phenotypes
and counselling families appropriately. How tissues respond to hormones is apposite
to assessing the range of genital phenotypes that characterise DSD, particularly for
syndromes associated with androgen resistance. In vitro methods are available to undertake
quantitative and qualitative analysis of hormone action. The in vivo equivalent is some assessment of the degree of under-masculinisation in the male,
such as an external masculinisation score, and measurement of the ano-genital distance.
This anthropometric marker is effectively a postnatal readout of the effects of prenatal
androgens acting during the masculinisation programming window. For investigation
of the newborn with abnormal genitalia, a pragmatic approach can be taken to guide
the clinician using appropriate algorithms.
Keywords
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Article info
Publication history
Published online: November 19, 2012
Accepted:
October 2,
2012
Received:
September 21,
2012
Identification
Copyright
© 2012 Journal of Pediatric Urology Company. Published by Elsevier Inc. All rights reserved.