胶质细胞源性神经生长因子
神经营养因子
脑源性神经营养因子
萧条(经济学)
方差分析
内科学
心理学
医学
焦虑
内分泌学
精神科
受体
宏观经济学
经济
作者
HE Xian-ping,Jingyao Song,He Gao,Zhenyang Li,Xiaochun Wang,Qiaoling Zeng,Yucen Xiao,Jiaxin Feng,Dongdong Zhou,Gao-Mao Wang
标识
DOI:10.1080/13651501.2022.2107938
摘要
Objectives We investigated the differences in serum brain-derived neurotrophic factor (BDNF) and glial cell line–derived neurotrophic factor (GDNF) levels and clinical symptoms with first-episode depression at different ages.Methods Ninety patients (15–60 years old) diagnosed with first-episode depression were enrolled as the study group, and they were divided into early-onset, adult and late-onset groups. The age-matched control groups were healthy volunteers. Serum BDNF and GDNF concentrations were determined by enzyme-linked immunosorbent assay (ELISA). GraphPad Prism 9 was used for t tests, one-way ANOVAs, chi-square tests, and correlation analyses. p < 0.05 indicated significant differences.Results Serum BDNF and GDNF levels were lower in the whole study group and the three subgroups than in the healthy groups. Illness severity, anxiety and education were higher in the early-onset than late-onset patients. Serum BDNF levels were lower in the adult than late-onset patients. Serum BDNF levels were negatively correlated with patient CGI-SI scores. After the LSD test for multiple comparisons, the results were also significant.Conclusions Low serum BDNF and GDNF levels may be involved in the pathophysiology of first-episode depression, and there were differences in serum BDNF levels at different ages, verifying that serum BDNF and GDNF could serve as potential biomarkers of depression. KEY POINTSDepression is often conceptualised as a systemic illness with different biological mechanisms, but satisfactory explanations have not been provided thus far.The aim of our study was to investigate differences in serum BDNF and GDNF levels and their relationships with clinical symptoms in patients with first-episode depression at different ages.The potential of the neurotrophic factor hypothesis to advance the diagnosis and treatment of depression will be a very exciting new strategy for future research.
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