Literature DB >> 27999117

Performance of mass spectrometry steroid profiling for diagnosis of polycystic ovary syndrome.

D J Handelsman1, H J Teede2, R Desai3, R J Norman4, L J Moran2,4.   

Abstract

STUDY QUESTION: How well does multi-analyte steroid mass spectrometry (MS) profiling classify women with and without polycystic ovary syndrome (PCOS)? SUMMARY ANSWER: Our liquid chromatography MS (LC-MS) steroid profiling only minimally improves discrimination of women with and without PCOS compared with a direct testosterone immunoassay (T_IA) and the free androgen index (FAI). WHAT IS KNOWN ALREADY: Blood testosterone measured by direct (non-extraction) immunoassay overlaps between women with and without PCOS. Multi-analyte MS provides greater specificity and accuracy for steroid measurement so might improve the classification. STUDY DESIGN, SIZE, DURATION: An observational, cross-sectional study of women with PCOS (n = 152) defined by Rotterdam criteria and matched non-PCOS (n = 45) control women was conducted. PARTICIPANTS/MATERIALS, SETTING,
METHODS: Serum steroid profiles of testosterone (T), dihydrotestosterone (DHT), dehydroepiandrosterone (DHEA), androstenedione (A4), estradiol (E2), estrone (E1), 17 hydroxy progesterone (17OHP4), progesterone (P4) and cortisol were measured by LC-MS; T_IA and sex hormone binding globulin were measured by immunoassay; and FAI, calculated free testosterone (cFT) and total androgen index (TAI) were calculated. Classification was based on logistic regression with corresponding univariate and multivariate C-statistics. MAIN RESULTS AND THE ROLE OF CHANCE: Serum testosterone by immunoassay demonstrated levels more than 100% higher than that measured by LC-MS. Compared with the controls, women with PCOS had higher serum T, DHEA, A4, TAI, T_IA, cFT, FAI and E2 but not serum DHT, E1, P4, 17OHP4 or cortisol. Univariate C-statistics were highest for FAI (0.89) and T_IA (0.82) compared with other androgens (T [0.72], DHT [0.40]), pro-androgens (A4 [0.74], DHEA[0.71]) or derivatives (cFT [0.75], TAI [0.60]). For all multivariate models, the overall correct predictions (81-86%) featured high sensitivity (92-96%) but low specificity (28-43%). and substituting LC-MS steroid measurements for T_IA and FAI produced only minimal improvements in classification. LIMITATIONS REASONS FOR CAUTION: The study cohort is limited in size and only unconjugated steroids were measured. WIDER IMPLICATIONS OF THE
FINDINGS: Multi-analyte steroid profiling of unconjugated circulating steroids provides only limited improvement on direct T_IA in classifying women with and without PCOS. STUDY FUNDING/COMPETING INTERESTS: None. TRIAL REGISTRATION NUMBER: N/A. © Crown copyright 2016.

Entities:  

Keywords:  androgens; immunoassay; mass spectrometry; polycystic ovary syndrome; testosterone

Mesh:

Substances:

Year:  2016        PMID: 27999117     DOI: 10.1093/humrep/dew328

Source DB:  PubMed          Journal:  Hum Reprod        ISSN: 0268-1161            Impact factor:   6.918


  9 in total

Review 1.  Hyperandrogenic origins of polycystic ovary syndrome - implications for pathophysiology and therapy.

Authors:  David H Abbott; Daniel A Dumesic; Jon E Levine
Journal:  Expert Rev Endocrinol Metab       Date:  2019-02-15

2.  Simultaneous measurement of 18 steroids in human and mouse serum by liquid chromatography-mass spectrometry without derivatization to profile the classical and alternate pathways of androgen synthesis and metabolism.

Authors:  Reena Desai; D Tim Harwood; David J Handelsman
Journal:  Clin Mass Spectrom       Date:  2019-01-06

3.  Statistical power for cluster analysis.

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4.  DHEA and polycystic ovarian syndrome: Meta-analysis of case-control studies.

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5.  Interplay between polycystic ovary syndrome and hypothyroidism on serum testosterone, oxidative stress and StAR gene expression in female rats.

Authors:  Sara Khodabandeh; Abdolkarim Hosseini; Homayoun Khazali; Vahid Azizi
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6.  Steroid hormone profiling in obese and nonobese women with polycystic ovary syndrome.

Authors:  Yuying Deng; Yifei Zhang; Shengxian Li; Wenzhong Zhou; Lei Ye; Lihua Wang; Tao Tao; Junjie Gu; Zuwei Yang; Dandan Zhao; Weiqiong Gu; Jie Hong; Guang Ning; Wei Liu; Weiqing Wang
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7.  An LC/MS/MS method for analyzing the steroid metabolome with high accuracy and from small serum samples.

Authors:  Teng-Fei Yuan; Juan Le; Shao-Ting Wang; Yan Li
Journal:  J Lipid Res       Date:  2020-01-21       Impact factor: 5.922

8.  Type 2 diabetes mellitus in women with polycystic ovary syndrome during a 24-year period: importance of obesity and abdominal fat distribution.

Authors:  M Forslund; K Landin-Wilhelmsen; P Trimpou; J Schmidt; M Brännström; E Dahlgren
Journal:  Hum Reprod Open       Date:  2020-01-15

9.  Simultaneous quantitation of four androgens and 17-hydroxyprogesterone in polycystic ovarian syndrome patients by LC-MS/MS.

Authors:  Zheng Cao; Yifan Lu; Yuting Cong; Ying Liu; Youran Li; Husheng Wang; Qiaoli Zhang; Wenxi Huang; Jingrui Liu; Ying Dong; Guodong Tang; Yiqi R Luo; Chenghong Yin; Yanhong Zhai
Journal:  J Clin Lab Anal       Date:  2020-08-21       Impact factor: 3.124

  9 in total

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