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Steroid metabolism and pathology: biochemical and molecular diagnosis.

This thesis describes biochemical and molecular methods diagnostic for a spectrum of steroid metabolic diseases. Deficiency of any enzyme in the steroid hormone biosynthetic pathways leads to disorders including congenital adrenal hyperplasia, while some cause disorders of sex development (DSD). A gas chromatography mass spectrometry-based analytical technique called urinary steroid profiling (USP) has been shown to be a useful diagnostic test for these diseases and for steroid-secreting adrenocortical tumours. To test the hypothesis that this approach would be effective in our local population, we interpreted 482 USP results using reference intervals set up from 371 local healthy subjects. Characteristic steroid metabolite excretion patterns were found in 39 patients, including 21 patients with 21-hydroxylase deficiency (21OHD) where there were grossly increased 17-hydroxyprogesterone metabolites, 12 patients with 5α-reductase 2 deficiency (5ARD) with extremely low 5α- to 5β-reduced steroid metabolite ratios, and five patients with adrenocortical carcinoma with markedly raised tetrahydro-11-deoxycortisol and 3,16,20-pregnenetriols levels. / The genetic basis of 21OHD in various populations is mainly due to conversion between the CYP21A2 and the CYP21A1P genes but this has not yet been explored in our population. By using DNA sequencing and multiplex ligation-dependent probe amplification, 74 mutations were found in 35 patients with 21OHD. Gross deletion/conversion of the CYP21A2 gene accounted for 27%. c.290-13A/C>G was the most common point mutation (27%), followed by p.Ile172Asn (17.6%). One novel mutation c.1367delA was also detected. Their prevalence in our patients differs from those in other populations. / The most common cause of 46,XY DSD in Western populations is androgen insensitivity syndrome (AIS) but this has not been verified locally. A prospective study was conducted where 64 patients were recruited for comprehensive hormonal profiling and targeted molecular analysis. In this study, a genetic diagnosis was established in 22 patients, with 5ARD being the most common disease, followed by AIS. Traditionally the diagnosis of 5ARD relies on measuring dihydrotestosterone. However, with our experience in diagnosing this condition based on USP and mutational analysis of the SRD5A2 gene, two new diagnostic algorithms for 46,XY DSD were proposed where dihydrotestosterone is not required. / In vitro study is the preferred method for characterising the function of novel genetic variants. However, clinical laboratories rarely have the facilities and resources for it. In silico prediction programmes appear to be practical alternatives but their performance on testing non-synonymous variants in genes related to steroid metabolism has not been verified. Three web-based in silico prediction programmes, namely Sorting Intolerant From Tolerant, PolyPhen-2 and Pathogenic-Or-Not-Pipeline, were tested by analysing 797 published non-synonymous genetic variants in 12 genes related to steroid metabolism. The results of in vitro functional study and/or clinical phenotype were used as gold standards. The performance of these three programmes were: sensitivity (76.6%, 84.1%, 70.0%), specificity (56.6%, 56.3%, 89.4%) and accuracy (70.1%, 75.2%, 76.8%), respectively. / In conclusion, USP is a valuable biochemical phenotyping technique that helps to select patients for subsequent genetic confirmation. Since the mutation spectrum of 21OHD and the aetiological basis of 46,XY DSD in our population differ from the others, laboratory diagnostic algorithms and molecular analytical strategies must be adjusted accordingly. / Chan, On Kei Angel. / Thesis (M.D.) Chinese University of Hong Kong, 2014. / Includes bibliographical references (leaves 250-269). / Appendixes includes Chinese.

Identiferoai:union.ndltd.org:cuhk.edu.hk/oai:cuhk-dr:cuhk_1202906
Date January 2014
ContributorsChan, On Kei Angel (author.), Chinese University of Hong Kong Graduate School. (degree granting institution.)
Source SetsThe Chinese University of Hong Kong
LanguageEnglish, Chinese
Detected LanguageEnglish
TypeText, bibliography, text
Formatelectronic resource, electronic resource, remote, 1 online resource (xxiv, 269 leaves) : illustrations (some color), computer, online resource
RightsUse of this resource is governed by the terms and conditions of the Creative Commons “Attribution-NonCommercial-NoDerivatives 4.0 International” License (http://creativecommons.org/licenses/by-nc-nd/4.0/)

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