Open AccessClose correlation between hyperandrogenism and insulin resistance in women with polycystic ovary syndrome—Based on liquid chromatography with tandem mass spectrometry measurements
Author(s) -
Yang Yabo,
Ding Miao,
Di Na,
Azziz Ricardo,
Yang Dongzi,
Zhao Xiaomiao
Publication year - 2019
Publication title -
journal of clinical laboratory analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.536
H-Index - 50
eISSN - 1098-2825
pISSN - 0887-8013
DOI - 10.1002/jcla.22699
Subject(s) - hyperandrogenism , polycystic ovary , insulin resistance , medicine , hyperinsulinemia , endocrinology , impaired fasting glucose , chemistry , impaired glucose tolerance , insulin
Background To investigate the correlation between hyperandrogenism (HA) and insulin resistance (IR) in women with polycystic ovary syndrome (PCOS) by measuring serum total testosterone (TT) using a liquid chromatography and tandem mass spectrometry assay (LC‐MS/MS). Methods This cohort study included 332 patients with PCOS, 63 patients with IR and 276 with controls. TT levels were measured by LC‐MS/MS and chemiluminescent immunoassay (CLIA); glucose and insulin levels were determined by an oral glucose tolerance test (OGTT). Results Compared with CLIA, LC‐MS/MS differentiated more cases with high TT levels among the non‐PCOS subjects with IR In patients with PCOS, LC‐MS/MS‐based TT levels or a combination with the mFG score detected a significantly higher incidence of HA in subjects with IR identified by hyperinsulinemia (HIN), HOMA‐IR or impaired fasting glucose (IFG) than in those without IR Conversely, the IR rates demonstrated by HIN, HOMA‐IR, or IFG were remarkably higher in the LC‐MS/MS‐defined high TT subgroup than in the normal TT subgroup. However, the CLIA platform could not discern a difference in HA incidence between IR and non‐IR subgroups or in IR rate between high and normal TT populations. ROC curves also proved that HIN, HOMA‐IR, and IFG were positive contributors to HA as measured by LC‐MS/MS Conclusions The correlation between HA and IR has always been underestimated, partly owing to the less accurate methods previously used to measure TT. HIN, HOMA‐IR, and IFG are likely to contribute to the development of HA from a clinical perspective.