OBJECTIVES: To investigate differences in biochemical markers and their association with depressive symptoms in patients with Alzheimer's disease (AD) with and without concurrent depression. METHODS: In this retrospective case-control study, 329 AD patients admitted to Beijing Panjiayuan TCM-Western Integrated Hospital between May 2019 and May 2022 were included. Patients were categorized into a comorbid depression group (n=167) and a non-depression group (n=162) based on Cornell Scale for Depression in Dementia (CSDD) scores. Biochemical markers, including β-amyloid proteins (Aβ1-42, Aβ1-40), phosphorylated Tau proteins (p-Tau181, p-Tau217), neurofilament light chain protein (NfL), glial fibrillary acidic protein (GFAP), and inflammatory cytokines, were measured and statistically analyzed. RESULTS: High-density lipoprotein cholesterol (HDL-C) was significantly lower in the comorbid depression group (P<0.001). Levels of Aβ1-42 (P=0.012), Aβ1-40 (P=0.006), p-Tau181 (P=0.003), p-Tau217 (P=0.003), NfL (P<0.001), and GFAP (P=0.008) were significantly elevated in the depression group compared to the non-depression group. Additionally, interleukin-10 (P=0.004) and interleukin-6 (P=0.047) levels were higher, while interleukin-1β (P<0.001) was lower in the comorbid depression group. Receiver operating characteristic curve identified HDL-C (area under the curve [AUC]=0.602), p-Tau217 (AUC=0.595), NfL (AUC=0.692), GFAP (AUC=0.580), and IL-1β (AUC=0.600) as significant predictors of depression severity. CONCLUSIONS: Specific biochemical markers, including HDL-C, Aβ42/40, p-Tau217, NfL, GFAP, and IL-1β, are independently associated with depression in AD patients. A combined biomarker model may improve prediction of comorbid depression in AD and provide guidance for personalized treatment.
Predictive value of beta amyloid, phosphorylated Tau, neurofilament light chain, and glial fibrillary acidic protein for depression in Alzheimer's disease.
β-淀粉样蛋白、磷酸化Tau蛋白、神经丝轻链和胶质纤维酸性蛋白对阿尔茨海默病抑郁症的预测价值。
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| 期刊: | American Journal of Translational Research | 影响因子: | 1.600 |
| 时间: | 2025 | 起止号: | 2025 Oct 15; 17(10):7789-7802 |
| doi: | 10.62347/OSPA2864 | ||
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