{"title":"与合并症病例相比,Tau PET 阳性可预测阿尔茨海默病导致的临床相关认知能力下降;ADNI 研究的概念证明","authors":"Konstantinos Ioannou, Marco Bucci, Antonios Tzortzakakis, Irina Savitcheva, Agneta Nordberg, Konstantinos Chiotis","doi":"10.1038/s41380-024-02672-9","DOIUrl":null,"url":null,"abstract":"<p>β-amyloid (Aβ) pathology is not always coupled with Alzheimer’s disease (AD) relevant cognitive decline. We assessed the accuracy of tau PET to identify Aβ(+) individuals who show prospective disease progression. 396 cognitively unimpaired and impaired individuals with baseline Aβ and tau PET and a follow-up of ≥ 2 years were selected from the Alzheimer’s Disease Neuroimaging Initiative dataset. The participants were dichotomously grouped based on either clinical conversion (i.e., change of diagnosis) or cognitive deterioration (fast (FDs) vs. slow decliners (SDs)) using data-driven clustering of the individual annual rates of cognitive decline. To assess cognitive decline in individuals with isolated Aβ(+) or absence of both Aβ and tau (T) pathologies, we investigated the prevalence of non-AD comorbidities and FDG PET hypometabolism patterns suggestive of AD. Baseline tau PET uptake was higher in Aβ(+)FDs than in Aβ(-)FD/SDs and Aβ(+)SDs, independently of baseline cognitive status. Baseline tau PET uptake identified MCI Aβ(+) Converters and Aβ(+)FDs with an area under the curve of 0.85 and 0.87 (composite temporal region of interest) respectively, and was linearly related to the annual rate of cognitive decline in Aβ(+) individuals. The T(+) individuals constituted largely a subgroup of those being Aβ(+) and those clustered as FDs. The most common biomarker profiles in FDs (<i>n</i> = 70) were Aβ(+)T(+) (<i>n</i> = 34, 49%) and Aβ(+)T(-) (<i>n</i> = 19, 27%). Baseline Aβ load was higher in Aβ(+)T(+)FDs (M = 83.03 ± 31.42CL) than in Aβ(+)T(-)FDs (M = 63.67 ± 26.75CL) (<i>p</i>-value = 0.038). Depression diagnosis was more prevalent in Aβ(+)T(-)FDs compared to Aβ(+)T(+)FDs (47% vs. 15%, <i>p</i>-value = 0.021), as were FDG PET hypometabolism pattern not suggestive of AD (86% vs. 50%, <i>p</i>-value = 0.039). Our findings suggest that high tau PET uptake is coupled with both Aβ pathology and accelerated cognitive decline. In cases of isolated Aβ(+), cognitive decline may be associated with changes within the AD spectrum in a multi-morbidity context, i.e., mixed AD.</p>","PeriodicalId":19008,"journal":{"name":"Molecular Psychiatry","volume":null,"pages":null},"PeriodicalIF":9.6000,"publicationDate":"2024-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Tau PET positivity predicts clinically relevant cognitive decline driven by Alzheimer’s disease compared to comorbid cases; proof of concept in the ADNI study\",\"authors\":\"Konstantinos Ioannou, Marco Bucci, Antonios Tzortzakakis, Irina Savitcheva, Agneta Nordberg, Konstantinos Chiotis\",\"doi\":\"10.1038/s41380-024-02672-9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>β-amyloid (Aβ) pathology is not always coupled with Alzheimer’s disease (AD) relevant cognitive decline. We assessed the accuracy of tau PET to identify Aβ(+) individuals who show prospective disease progression. 396 cognitively unimpaired and impaired individuals with baseline Aβ and tau PET and a follow-up of ≥ 2 years were selected from the Alzheimer’s Disease Neuroimaging Initiative dataset. The participants were dichotomously grouped based on either clinical conversion (i.e., change of diagnosis) or cognitive deterioration (fast (FDs) vs. slow decliners (SDs)) using data-driven clustering of the individual annual rates of cognitive decline. To assess cognitive decline in individuals with isolated Aβ(+) or absence of both Aβ and tau (T) pathologies, we investigated the prevalence of non-AD comorbidities and FDG PET hypometabolism patterns suggestive of AD. Baseline tau PET uptake was higher in Aβ(+)FDs than in Aβ(-)FD/SDs and Aβ(+)SDs, independently of baseline cognitive status. Baseline tau PET uptake identified MCI Aβ(+) Converters and Aβ(+)FDs with an area under the curve of 0.85 and 0.87 (composite temporal region of interest) respectively, and was linearly related to the annual rate of cognitive decline in Aβ(+) individuals. The T(+) individuals constituted largely a subgroup of those being Aβ(+) and those clustered as FDs. The most common biomarker profiles in FDs (<i>n</i> = 70) were Aβ(+)T(+) (<i>n</i> = 34, 49%) and Aβ(+)T(-) (<i>n</i> = 19, 27%). Baseline Aβ load was higher in Aβ(+)T(+)FDs (M = 83.03 ± 31.42CL) than in Aβ(+)T(-)FDs (M = 63.67 ± 26.75CL) (<i>p</i>-value = 0.038). Depression diagnosis was more prevalent in Aβ(+)T(-)FDs compared to Aβ(+)T(+)FDs (47% vs. 15%, <i>p</i>-value = 0.021), as were FDG PET hypometabolism pattern not suggestive of AD (86% vs. 50%, <i>p</i>-value = 0.039). Our findings suggest that high tau PET uptake is coupled with both Aβ pathology and accelerated cognitive decline. 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引用次数: 0
摘要
β-淀粉样蛋白(Aβ)病理学并不总是与阿尔茨海默病(AD)相关的认知能力下降同时发生。我们评估了 tau PET 识别 Aβ(+)个体的准确性,这些个体显示出前瞻性的疾病进展。我们从阿尔茨海默病神经影像学倡议数据集中选取了 396 名认知功能未受损和受损的患者,他们的基线 Aβ 和 tau PET 随访时间≥ 2 年。根据临床转换(即诊断改变)或认知退化(快速(FDs)与慢速(SDs)),利用数据驱动的个人年度认知衰退率聚类对参与者进行二分法分组。为了评估孤立Aβ(+)或同时缺乏Aβ和tau(T)病理的个体的认知能力下降情况,我们调查了非AD合并症的患病率以及提示AD的FDG PET代谢减低模式。基线tau PET摄取量在Aβ(+)FD中高于Aβ(-)FD/SD和Aβ(+)SD,与基线认知状态无关。基线tau PET摄取量可识别MCI Aβ(+)转换者和Aβ(+)FD,曲线下面积分别为0.85和0.87(综合颞部感兴趣区),并与Aβ(+)个体的认知能力年下降率呈线性关系。T(+)个体主要是 Aβ(+)个体和 FDs 聚类个体的一个亚群。在 FDs(n = 70)中,最常见的生物标志物特征是 Aβ(+)T(+)(n = 34,49%)和 Aβ(+)T(-)(n = 19,27%)。Aβ(+)T(+)FDs 的基线 Aβ 负荷(M = 83.03 ± 31.42CL)高于 Aβ(+)T(-)FDs 的基线 Aβ 负荷(M = 63.67 ± 26.75CL)(P 值 = 0.038)。与Aβ(+)T(+)FDs相比,抑郁症诊断在Aβ(+)T(-)FDs中更为普遍(47% vs. 15%,p值=0.021),FDG PET低代谢模式未提示AD(86% vs. 50%,p值=0.039)。我们的研究结果表明,tau PET高摄取与Aβ病理学和认知能力加速衰退有关。在孤立的Aβ(+)病例中,认知能力下降可能与多病情况下的AD谱系变化有关,即混合型AD。
Tau PET positivity predicts clinically relevant cognitive decline driven by Alzheimer’s disease compared to comorbid cases; proof of concept in the ADNI study
β-amyloid (Aβ) pathology is not always coupled with Alzheimer’s disease (AD) relevant cognitive decline. We assessed the accuracy of tau PET to identify Aβ(+) individuals who show prospective disease progression. 396 cognitively unimpaired and impaired individuals with baseline Aβ and tau PET and a follow-up of ≥ 2 years were selected from the Alzheimer’s Disease Neuroimaging Initiative dataset. The participants were dichotomously grouped based on either clinical conversion (i.e., change of diagnosis) or cognitive deterioration (fast (FDs) vs. slow decliners (SDs)) using data-driven clustering of the individual annual rates of cognitive decline. To assess cognitive decline in individuals with isolated Aβ(+) or absence of both Aβ and tau (T) pathologies, we investigated the prevalence of non-AD comorbidities and FDG PET hypometabolism patterns suggestive of AD. Baseline tau PET uptake was higher in Aβ(+)FDs than in Aβ(-)FD/SDs and Aβ(+)SDs, independently of baseline cognitive status. Baseline tau PET uptake identified MCI Aβ(+) Converters and Aβ(+)FDs with an area under the curve of 0.85 and 0.87 (composite temporal region of interest) respectively, and was linearly related to the annual rate of cognitive decline in Aβ(+) individuals. The T(+) individuals constituted largely a subgroup of those being Aβ(+) and those clustered as FDs. The most common biomarker profiles in FDs (n = 70) were Aβ(+)T(+) (n = 34, 49%) and Aβ(+)T(-) (n = 19, 27%). Baseline Aβ load was higher in Aβ(+)T(+)FDs (M = 83.03 ± 31.42CL) than in Aβ(+)T(-)FDs (M = 63.67 ± 26.75CL) (p-value = 0.038). Depression diagnosis was more prevalent in Aβ(+)T(-)FDs compared to Aβ(+)T(+)FDs (47% vs. 15%, p-value = 0.021), as were FDG PET hypometabolism pattern not suggestive of AD (86% vs. 50%, p-value = 0.039). Our findings suggest that high tau PET uptake is coupled with both Aβ pathology and accelerated cognitive decline. In cases of isolated Aβ(+), cognitive decline may be associated with changes within the AD spectrum in a multi-morbidity context, i.e., mixed AD.
期刊介绍:
Molecular Psychiatry focuses on publishing research that aims to uncover the biological mechanisms behind psychiatric disorders and their treatment. The journal emphasizes studies that bridge pre-clinical and clinical research, covering cellular, molecular, integrative, clinical, imaging, and psychopharmacology levels.