HOMEPRODUCTSCOMPANYCONTACTFAQResearchDictionaryPharmaSign Up FREE or Login

Metabolic status and resistin in chronic schizophrenia over a 2-year period with continuous atypical antipsychotics.

AbstractBACKGROUND:
Common adverse effects of atypical antipsychotic treatments for schizophrenia are weight gain and lipid metabolism abnormality. We aimed to identify the signs of metabolic problems with continuous atypical antipsychotic treatment for schizophrenia over a 2-year period.
METHODS:
The participants were 68 schizophrenic patients (29 males, 39 females; ages 53.4 ± 13.5 years old). Changes in carbohydrate metabolism and changes in physical characteristics were studied over a 2-year period. In addition, functional single nucleotide polymorphisms in the transcriptional regulatory region of the resistin gene were examined.
RESULTS:
We found no changes in the mental state of the participants over a 2-year period. Patients did show a significant decrease in total cholesterol and hemoglobin A1c levels, although physical changes such as body mass index and abdominal girth, were not observed. The amount of resistin may not be associated with mental states and physical parameters.
CONCLUSIONS:
We could not find physical factors related to metabolic changes of antipsychotics in this 2-year study. However, several psychological factors, such as health-related thoughts and behaviors, should be studied in the future.
AuthorsKentaro Kawabe, Shinichiro Ochi, Yuta Yoshino, Yoko Mori, Hiroshi Onuma, Haruhiko Osawa, Yoshiki Hosoda, Shu-Ichi Ueno
JournalTherapeutic advances in psychopharmacology (Ther Adv Psychopharmacol) Vol. 5 Issue 5 Pg. 271-7 (Oct 2015) ISSN: 2045-1253 [Print] England
PMID26557983 (Publication Type: Journal Article)

Join CureHunter, for free Research Interface BASIC access!

Take advantage of free CureHunter research engine access to explore the best drug and treatment options for any disease. Find out why thousands of doctors, pharma researchers and patient activists around the world use CureHunter every day.
Realize the full power of the drug-disease research graph!


Choose Username:
Email:
Password:
Verify Password:
Enter Code Shown: