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  1. Tan TT, Lui SK, Satgunasingam N, Khalid BA
    Med J Malaysia, 1989 Dec;44(4):302-6.
    PMID: 2520038
    62 cases of polycystic ovary syndrome (PCO) were reviewed with regards to their clinical and endocrine features. The subgroup of patients with acanthosis nigricans (AN) was further studied in detail. The prevalence of the syndrome was significantly higher in the Indian (35.5% of cases). Obesity, AN, hirsutism, non-insulin dependent diabetes mellitus (NIDDM) and raised level of serum testosterone were present in 77.1%, 74%, 79%, 21% and 48% of the cases respectively. Patients with AN was associated with higher body mass index, serum testosterone level, and prevalence of hirsutism and NIDDM than patients without AN. These observations are in keeping with the hypothesis that hyperinsulinemia may be of importance in the pathogenesis of a sub-group of PCO associated with insulin resistant states.
    Matched MeSH terms: Polycystic Ovary Syndrome/etiology*
  2. Ramly B, Afiqah-Aleng N, Mohamed-Hussein ZA
    Int J Mol Sci, 2019 Jun 18;20(12).
    PMID: 31216618 DOI: 10.3390/ijms20122959
    Based on clinical observations, women with polycystic ovarian syndrome (PCOS) are prone to developing several other diseases, such as metabolic and cardiovascular diseases. However, the molecular association between PCOS and these diseases remains poorly understood. Recent studies showed that the information from protein-protein interaction (PPI) network analysis are useful in understanding the disease association in detail. This study utilized this approach to deepen the knowledge on the association between PCOS and other diseases. A PPI network for PCOS was constructed using PCOS-related proteins (PCOSrp) obtained from PCOSBase. MCODE was used to identify highly connected regions in the PCOS network, known as subnetworks. These subnetworks represent protein families, where their molecular information is used to explain the association between PCOS and other diseases. Fisher's exact test and comorbidity data were used to identify PCOS-disease subnetworks. Pathway enrichment analysis was performed on the PCOS-disease subnetworks to identify significant pathways that are highly involved in the PCOS-disease associations. Migraine, schizophrenia, depressive disorder, obesity, and hypertension, along with twelve other diseases, were identified to be highly associated with PCOS. The identification of significant pathways, such as ribosome biogenesis, antigen processing and presentation, and mitophagy, suggest their involvement in the association between PCOS and migraine, schizophrenia, and hypertension.
    Matched MeSH terms: Polycystic Ovary Syndrome/etiology
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