Insulin-like growth factor in Parkinson's disease is related to nonmotor symptoms and the volume of specific brain areas. (13th July 2022) - Shi, Xiaoxue
Highlights: Plasma IGF-1 levels gradually decrease as PD progresses. Plasma IGF-1 levels may be used to assess the possibility of PD with nonmotor symptoms. Plasma IGF-1 levels have positively correlated with the volumes of the insula, caudate and anterior cingulate. Abstract: Background: Insulin-like growth factor 1 (IGF-1) plays a protective role in Parkinson's disease (PD). To date, studies on the relationship between plasma IGF-1 levels and nonmotor symptoms and brain gray matter volume in PD patients have been rare. Methods: A Siemens automatic chemical analyzer was used to determine plasma IGF-1 levels in 55 healthy controls and 119 PD patients, including those at the early (n = 67) and middle-late (n = 52) stages of the disease. Evaluation of motor symptoms and nonmotor symptoms in PD patients was assessed by the associated scales. Image acquisition in 65 PD patients was performed using a Siemens MAGNETOM Prisma 3 T magnetic resonance imaging (MRI) scanner. Results: Plasma IGF-1 levels in early-stage PD patients were higher than those in healthy controls, and plasma IGF-1 levels in early-stage PD patients were higher than those in middle-late-stage PD patients. Plasma IGF-1 levels were significantly negatively correlated with anxiety, depression and cognitive dysfunction. Receiver operating characteristic (ROC) curve assessment confirmed that plasma IGF-1 levels had good predictive accuracy for PD with anxiety, depression and cognitive dysfunction. Furthermore, plasma IGF-1 levels were significantly positively correlated with volumes in the insula, caudate and anterior cingulate. Conclusions: This study shows that plasma IGF-1 levels were correlated with the nonmotor symptoms of anxiety, depression and cognitive dysfunction and the volume in specific brain areas. This is the first report examining the relationships between plasma IGF-1 and clinical manifestations and imaging features in PD patients.