Sex-specific associations between metabolic hormones, severe mental disorders and antipsychotic treatment.
Psychoneuroendocrinology
; 146: 105927, 2022 Dec.
Article
em En
| MEDLINE
| ID: mdl-36152455
ABSTRACT
BACKGROUND:
Metabolic dysregulation has been associated with severe mental disorders (SMD) and with antipsychotic (AP) treatment, but the role of sex is unknown. To identify possible sex-related processes linked to SMD and AP treatment, we investigated sex differences in associations between hormones involved in metabolic regulation in patients with SMD compared to healthy controls (HC) and AP treatment.METHODS:
We included patients with SMD (N = 1753) and HC (N = 1194) and measured hormones involved in metabolic regulation (insulin, cortisol, thyroid-stimulating hormone (TSH), thyroxine, leptin, adiponectin, testosterone, sex hormone-binding globulin (SHBG), prolactin). Patients were grouped according to use of first-generation AP (N = 163), second-generation AP (N = 1087) or no use of AP (N = 503). Hormones were used one by one as dependent variables in multiple regression analyses with interactions between sex and SMD patients versus HC, and between sex and AP treatment, followed by analyses in males and females separately.RESULTS:
We found significant interactions between sex and SMD patients versus HC for testosterone, SHBG and adiponectin, with significantly higher testosterone and lower adiponectin levels in females. Furthermore, we found significant interaction between sex and AP groups for TSH, testosterone and insulin, with significantly lower TSH levels in AP-treated females, and lower testosterone and higher insulin levels in AP-treated males.CONCLUSIONS:
Our findings suggest sex differences in metabolic hormones related to both SMD and AP treatment, indicating sex-dependent mechanisms. Clinicians should be aware of potential sex-specific metabolic changes during AP treatment and experimental studies are warranted to clarify the underlying mechanisms.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Tipo de estudo:
Prognostic_studies
/
Risk_factors_studies
Idioma:
En
Ano de publicação:
2022
Tipo de documento:
Article