Your browser doesn't support javascript.
loading
A Potential Biomarker for Predicting Schizophrenia: Metallothionein-1.
Yilmaz, Seda; Kiliç, Nülüfer; Kaya, Süheda; Tasci, Gülay.
Afiliação
  • Yilmaz S; Department of Psychiatry, Elazig Fethi Sekin City Hospital, 23100 Elazig, Turkey.
  • Kiliç N; Department of Psychiatry, Elazig Fethi Sekin City Hospital, 23100 Elazig, Turkey.
  • Kaya S; Department of Psychiatry, Elazig Mental Health and Diseases Hospital, 23100 Elazig, Turkey.
  • Tasci G; Department of Psychiatry, Elazig Fethi Sekin City Hospital, 23100 Elazig, Turkey.
Biomedicines ; 11(2)2023 Feb 16.
Article em En | MEDLINE | ID: mdl-36831126
It has been thought that oxidative damage may occur in the pathophysiology of schizophrenia; metallothioneins (MT) have strong antioxidant functions. In this study, we aimed to measure MT-1 levels in schizophrenia patients. A total of 52 patients diagnosed with schizophrenia and 38 healthy controls were included in the study. Serum MT-1 concentrations were measured using the Human Metallothionein-1 ELISA Kit. In addition, Cu and Zn levels were measured. PANSS (Positive and Negative Syndrome Scale) was used to determine the disease severity of patients with schizophrenia. The MT-1 levels of the schizophrenia group were lower than the MT-1 levels of the control group. When the correlation analyses were examined, a positive correlation was found between MT-1 and illness duration and Cu/Zn. A negative correlation was found between MT-1 levels and PANSS total scores and PANSS positive scores. In the regression analysis, it was seen that the decrease in MT-1 levels poses a risk for schizophrenia. It was observed that a decrease of 1 ng/mL in MT-1 levels increased the risk of schizophrenia 1.115 times. The low concentration of MT-1 is likely to cause a deficiency in antioxidant defense in patients with schizophrenia. MT-1 may be a useful biomarker for predicting schizophrenia.
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article