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鼻腔分泌物中的淀粉样β蛋白可能是阿尔茨海默病的潜在生物标志物。

Amyloid beta in nasal secretions may be a potential biomarker of Alzheimer's disease.

机构信息

Departments of Otorhinolaryngology-Head and Neck Surgery, Inha University School of Medicine, Incheon, 22332, South Korea.

Department of Chemical Engineering, Kangwon National University, Chuncheon, 24341, South Korea.

出版信息

Sci Rep. 2019 Mar 21;9(1):4966. doi: 10.1038/s41598-019-41429-1.

Abstract

We investigated the level of amyloid beta (Aβ) in nasal secretions of patients with Alzheimer's disease dementia (ADD) using interdigitated microelectrode (IME) biosensors and determined the predictive value of Aβ in nasal secretions for ADD diagnosis. Nasal secretions were obtained from 35 patients with ADD, 18 with cognitive decline associated with other neurological disorders (OND), and 26 cognitively unimpaired (CU) participants. Capacitance changes in IMEs were measured by capturing total Aβ (ΔC). After 4-(2-hydroxyethyl)-1-piperazinepropanesulfonic acid (EPPS) was injected, additional capacitance changes due to the smaller molecular weight Aβ oligomers disassembled from the higher molecular weight oligomeric Aβ were determined (ΔC). By dividing two values, the capacitance ratio (ΔC/ΔC) was determined and then normalized to the capacitance change index (CCI). The CCI was higher in the ADD group than in the OND (p = 0.040) and CU groups (p = 0.007). The accuracy of the CCI was fair in separating into the ADD and CU groups (area under the receiver operating characteristic curve = 0.718, 95% confidence interval = 0.591-0.845). These results demonstrate that the level of Aβ in nasal secretions increases in ADD and the detection of Aβ in nasal secretions using IME biosensors may be possible in predicting ADD.

摘要

我们使用交错式微电极(IME)生物传感器研究了阿尔茨海默病痴呆(ADD)患者鼻分泌物中的淀粉样β(Aβ)水平,并确定了 Aβ在鼻分泌物中对 ADD 诊断的预测价值。我们从 35 名 ADD 患者、18 名与其他神经障碍相关的认知下降(OND)患者和 26 名认知正常(CU)参与者中获得了鼻分泌物。IME 上的电容变化通过捕获总 Aβ(ΔC)来测量。在注入 4-(2-羟乙基)-1-哌嗪丙烷磺酸(EPPS)后,由于较小分子量的 Aβ寡聚物从较高分子量的寡聚物 Aβ中解体,确定了额外的电容变化(ΔC)。通过将两个值相除,确定了电容比(ΔC/ΔC),然后将其归一化为电容变化指数(CCI)。与 OND 组(p=0.040)和 CU 组(p=0.007)相比,ADD 组的 CCI 更高。CCI 区分 ADD 和 CU 组的准确性尚可(受试者工作特征曲线下面积为 0.718,95%置信区间为 0.591-0.845)。这些结果表明,ADD 患者鼻分泌物中的 Aβ 水平增加,使用 IME 生物传感器检测鼻分泌物中的 Aβ 可能有助于预测 ADD。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1048/6428828/ddf3b980fa7c/41598_2019_41429_Fig1_HTML.jpg

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