伴或不伴疑似非阿尔茨海默病生理(SNAP)的重度抑郁症患者的脑淀粉样蛋白-β、葡萄糖代谢和海马体积

IF 7.6 1区 医学 Q1 CLINICAL NEUROLOGY
Min-Jung Wu, Ing-Tsung Hsiao, Kun-Ju Lin, Yi-Ming Wu, Kuan-Yi Wu
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引用次数: 0

摘要

背景:重度抑郁症(MDD)可以包括疑似非阿尔茨海默病病理生理(SNAP),其特征是大脑淀粉样蛋白-β (Aβ)阴性和神经变性(ND)生物标志物阳性。SNAP和非SNAP MDD组脑Aβ沉积、葡萄糖代谢和海马体积之间的关系尚不清楚。方法:我们对136例MDD患者(入组年龄≥50岁)进行横断面分析,分为SNAP组(n = 71)和非SNAP组(n = 65)。双相18F-florbetapir (AV45) PET/MR扫描提供早期(代表葡萄糖代谢)和晚期(反映a β沉积)图像。采用MRI测量双侧调节海马体积(HVa)。偏相关和多元回归分析检验了Aβ沉积、代谢、HVa和抑郁相关变量之间的关系。结果:在非snap MDD中,较大的Aβ沉积与糖代谢降低和较小的HVa相关,而HVa与代谢呈正相关。葡萄糖代谢部分介导了Aβ沉积与海马萎缩和认知功能的关系。在SNAP MDD组中,较低的Aβ沉积与较低的葡萄糖代谢相关。终生抑郁发作次数越多,HVa越小,抑郁严重程度与HVa呈正相关。另外还进行了按年龄和Aβ/ND状态分层的亚组分析。结论:这些发现提示SNAP和非SNAP MDD的不同生物学模式。年龄和生物标志物(Aβ/ND)分层分析得出一致的Aβ代谢萎缩谱;然而,由于样本量有限,生物标志物分层结果应谨慎解释。值得注意的是,非snap组包括生物异质性亚组,这可能模糊了重要的区别,限制了汇总结果的可解释性。这些结果强调需要亚组特异性方法来更好地阐明重度抑郁症的病理生理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Cerebral amyloid-β, glucose metabolism and hippocampal volume in major depression with and without suspected non-Alzheimer pathophysiology (SNAP).

Cerebral amyloid-β, glucose metabolism and hippocampal volume in major depression with and without suspected non-Alzheimer pathophysiology (SNAP).

Cerebral amyloid-β, glucose metabolism and hippocampal volume in major depression with and without suspected non-Alzheimer pathophysiology (SNAP).

Background: Major depressive disorder (MDD) can encompass suspected non-Alzheimer's disease pathophysiology (SNAP), characterized by negative cerebral Amyloid-β (Aβ) and positive neurodegeneration (ND) biomarkers. Relationships among cerebral Aβ deposition, glucose metabolism, and hippocampal volume in SNAP and non-SNAP MDD groups remain unclear.

Methods: We conducted cross-sectional analyses of 136 MDD patients (enrolment age ≥ 50 years), classified into SNAP (n = 71) and non-SNAP (n = 65) groups. Dual-phase 18F-florbetapir (AV45) PET/MR scans provided early-phase (as a proxy for glucose metabolism) and late-phase (reflecting Aβ deposition) images. Bilateral adjusted hippocampal volume (HVa) was measured using MRI. Partial correlations and multiple regression analyses examined the associations among Aβ deposition, metabolism, HVa, and depression-related variables.

Results: In the non-SNAP MDD, greater Aβ deposition was associated with reduced glucose metabolism and smaller HVa, while HVa positively correlated with metabolism. Glucose metabolism partially mediated the relationship between Aβ deposition and both hippocampal atrophy and cognition function. In the SNAP MDD group, lower Aβ deposition was associated with lower glucose metabolism. While more lifetime depressive episodes were related to smaller HVa, depression severity showed a positive correlation with HVa. Additional subgroup analyses stratified by age and Aβ/ND status were also conducted.

Conclusions: These findings suggest distinct biological patterns in SNAP and non-SNAP MDD. Age- and biomarker (Aβ/ND)-stratified analyses yielded consistent Aβ-metabolism-atrophy profiles; however, the biomarker-stratified results should be interpreted with caution due to limited sample sizes. Notably, the non-SNAP group comprises biologically heterogeneous subgroups, which may obscure important distinctions and limit the interpretability of pooled findings. These results underscore the need for subgroup-specific approaches to better elucidate the pathophysiology of MDD.

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来源期刊
Alzheimer's Research & Therapy
Alzheimer's Research & Therapy 医学-神经病学
CiteScore
13.10
自引率
3.30%
发文量
172
审稿时长
>12 weeks
期刊介绍: Alzheimer's Research & Therapy is an international peer-reviewed journal that focuses on translational research into Alzheimer's disease and other neurodegenerative diseases. It publishes open-access basic research, clinical trials, drug discovery and development studies, and epidemiologic studies. The journal also includes reviews, viewpoints, commentaries, debates, and reports. All articles published in Alzheimer's Research & Therapy are included in several reputable databases such as CAS, Current contents, DOAJ, Embase, Journal Citation Reports/Science Edition, MEDLINE, PubMed, PubMed Central, Science Citation Index Expanded (Web of Science) and Scopus.
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