Title |
Predisposition for borderline personality disorder with comorbid major depression is associated with that for polycystic ovary syndrome in female Japanese population
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Published in |
Neuropsychiatric Disease and Treatment, November 2011
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DOI | 10.2147/ndt.s25504 |
Pubmed ID | |
Authors |
Satoshi Kawamura, Chihaya Maesawa, Koji Nakamura, Kazuhiko Nakayama, Michiaki Morita, Yohei Hiruma, Tomoyuki Yoshida, Akio Sakai, Tomoyuki Masuda |
Abstract |
Polycystic ovary syndrome (PCOS) is a common lifestyle-related endocrinopathy in women of reproductive age and is associated with several mental health problems. We examined the genotypic distributions of IRS-1 Gly972Arg and CYP11B2 -344T/C, which were previously described as influencing PCOS, and assayed the serum levels of interleukin-6 (IL-6) and tumor necrosis factor-alpha (TNF-α), in a set of female patients with borderline personality disorder (BPD) with comorbid major depressive disorder (MDD) (n = 50) and age-matched control subjects (n = 100), to investigate the predisposition for BPD with MDD. The results showed that the patients were more frequently IRS-1 972Arg variant allele carriers (P = 0.013; OR 6.68; 95% CI = 1.30-34.43) and homozygous for the CYP11B2 -344C variant allele (P = 0.022; OR = 3.32; 95% CI = 1.18-9.35) than the control subjects. The IL-6 level was significantly higher in the patients than in the controls (P < 0.0001). There was no significant difference in the serum TNF-α level between patients with BPD with MDD and the healthy comparison group (P = 0.5273). In conclusion, the predisposition for BPD with MDD is associated with that for PCOS, in the female Japanese population. An elevated serum IL-6 level is considered to be a possible biomarker of BPD with MDD. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 2 | 67% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 3 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United States | 1 | 2% |
Unknown | 63 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 15 | 23% |
Student > Ph. D. Student | 6 | 9% |
Researcher | 6 | 9% |
Student > Master | 6 | 9% |
Student > Postgraduate | 4 | 6% |
Other | 6 | 9% |
Unknown | 21 | 33% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 16 | 25% |
Psychology | 9 | 14% |
Neuroscience | 5 | 8% |
Pharmacology, Toxicology and Pharmaceutical Science | 3 | 5% |
Agricultural and Biological Sciences | 2 | 3% |
Other | 7 | 11% |
Unknown | 22 | 34% |