Glucose Metabolism and Sex Hormones in Male Patients with Medication-naïve First-episode Schizophrenia: A Large-scale Cross-sectional Study


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Abstract

Background:Schizophrenia (SCZ) usually begins in early adult life. The underlying molecular mechanisms of SCZ remain unclear. There is evidence for the involvement of abnormalities in metabolic and endocrine systems in SCZ, even in drug-naïve first-episode schizophrenia patients (DNFES). However, the association between impaired regulation of glucose metabolism and sex hormones was not studied in SCZ. This study aimed to evaluate the interrelationship between sex hormones and high fasting glucose levels in male DNFES patients.

Methods:A total of 99 patients with SCZ were recruited, and fasting glucose, fasting insulin, the insulin resistance index (HOMA-IR), and sex hormones were measured.

Results:We found that some male patients with SCZ had abnormal levels in glucose metabolism parameters and gonadal hormones that were not within the normal range. Linear regression analysis adjusted for age, waist circumference, and body mass index showed that testosterone levels were negatively associated with fasting insulin in male patients (β = -0.21, t = -2.2, p = 0.03).

Conclusion:Our findings confirm the abnormalities in glucose metabolism parameters and gonadal hormones at the onset of the illness in male DNFES patients with SCZ. In addition, there was an interaction effect between abnormal glucose metabolism and sex hormones in male patients.

About the authors

Meihong Xiu

Beijing Huilongguan Hospital, Peking University HuiLongGuan Clinical Medical School

Email: info@benthamscience.net

Meng Hao

Department of Psychiatry, First Hospital of Shanxi Medical University,

Email: info@benthamscience.net

Cai Liu

Department of Psychiatry, First Hospital of Shanxi Medical University

Email: info@benthamscience.net

Maodi Sun

, North University of China

Email: info@benthamscience.net

Xiaoe Lang

Department of Psychiatry, First Hospital of Shanxi Medical University

Author for correspondence.
Email: info@benthamscience.net

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