{"title":"葡萄糖代谢是预测临床阿尔茨海默病的更好标志物,而不是淀粉样蛋白或Tau","authors":"Tyler C. Hammond, Ai-Ling Lin","doi":"10.33696/immunology.4.128","DOIUrl":null,"url":null,"abstract":"Alzheimer’s disease (AD) research has long been dominated with communications regarding the amyloid hypothesis and targeting amyloid clearance through pharmacological therapies from the brain [1]. Unfortunately, this research strategy has yielded only one new FDA-accelerated approved therapeutic for early AD, and its clinical benefit still needs to be verified [2]. It may be time to employ a new strategy in AD therapeutics research. Hammond et al. reported that diminished uptake of glucose in the brain is a better marker for classifying AD than beta-amyloid (A β ) or phosphorylated tau deposition [3]. The National Institute on Aging and the Alzheimer’s Association published revised guidelines for the diagnosis of AD to include the measurement of amyloid (A), tau (T), and neurodegeneration (N), when diagnosing and treating AD [4]. It is highly relevant to AD therapeutic research whether amyloid, tau, and neurodegeneration contribute equally to the progression of AD at all phases of the disease or in a matter dependent on disease phase. To be able to successfully treat or prevent AD, there is a pressing need to identify precision biomarkers that are sensitive to disease progression and able to predict onset of cognitive impairment [5]. Hammond et al. used an advanced statistical learning machine learning method, random forest, on data provided by the Alzheimer’s Disease Neuroimaging Initiative (ADNI) to measure the ability of beta-amyloid measured by positron emission tomography (A β -PET), phosphorylated tau measured in the cerebral spinal fluid (CSF-pTau), fluorodeoxyglucose measured by positron emission tomography (FDG-PET) and structural imaging measured by magnetic resonance imaging (MRI) to classify AD diagnosis. Their results demonstrated that amyloid, tau, and neurodegeneration have a phase-dependent impact on the development of AD. A β and pTau are better predictors of the early dementia status that is often defined as mild cognitive impairment (MCI), and neurodegeneration, especially low glucose uptake, is a better predictor of later dementia status, or clinical AD. 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Hammond et al. reported that diminished uptake of glucose in the brain is a better marker for classifying AD than beta-amyloid (A β ) or phosphorylated tau deposition [3]. The National Institute on Aging and the Alzheimer’s Association published revised guidelines for the diagnosis of AD to include the measurement of amyloid (A), tau (T), and neurodegeneration (N), when diagnosing and treating AD [4]. It is highly relevant to AD therapeutic research whether amyloid, tau, and neurodegeneration contribute equally to the progression of AD at all phases of the disease or in a matter dependent on disease phase. To be able to successfully treat or prevent AD, there is a pressing need to identify precision biomarkers that are sensitive to disease progression and able to predict onset of cognitive impairment [5]. Hammond et al. used an advanced statistical learning machine learning method, random forest, on data provided by the Alzheimer’s Disease Neuroimaging Initiative (ADNI) to measure the ability of beta-amyloid measured by positron emission tomography (A β -PET), phosphorylated tau measured in the cerebral spinal fluid (CSF-pTau), fluorodeoxyglucose measured by positron emission tomography (FDG-PET) and structural imaging measured by magnetic resonance imaging (MRI) to classify AD diagnosis. Their results demonstrated that amyloid, tau, and neurodegeneration have a phase-dependent impact on the development of AD. A β and pTau are better predictors of the early dementia status that is often defined as mild cognitive impairment (MCI), and neurodegeneration, especially low glucose uptake, is a better predictor of later dementia status, or clinical AD. 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引用次数: 9
摘要
长期以来,阿尔茨海默病(AD)的研究一直以淀粉样蛋白假说和通过脑卒中药物治疗清除淀粉样蛋白为主导。不幸的是,这一研究策略只产生了一种新的fda加速批准的早期AD治疗药物,其临床效益仍有待验证。也许是时候在阿尔茨海默病治疗研究中采用一种新的策略了。Hammond等人报道,大脑中葡萄糖摄取减少是一种比β -淀粉样蛋白(a β)或磷酸化tau沉积[3]更好的AD分类标记。国家衰老研究所和阿尔茨海默氏症协会发布了AD诊断的修订指南,包括在诊断和治疗AD时测量淀粉样蛋白(A), tau (T)和神经变性(N)。淀粉样蛋白、tau蛋白和神经退行性变是否在疾病的所有阶段或依赖于疾病阶段的物质中对AD的进展贡献相同,这与AD治疗研究高度相关。为了能够成功地治疗或预防AD,迫切需要确定对疾病进展敏感并能够预测认知障碍发病的精确生物标志物。Hammond等人利用一种先进的统计学习机器学习方法——随机森林,根据阿尔茨海默病神经影像学倡议(ADNI)提供的数据,测量了正电子发射断层扫描(A β -PET)测量的β -淀粉样蛋白、脑脊液中测量的磷酸化tau蛋白(CSF-pTau)、正电子发射断层扫描(FDG-PET)测量的氟脱氧葡萄糖和磁共振成像(MRI)测量的结构成像对AD诊断分类的能力。他们的研究结果表明,淀粉样蛋白、tau蛋白和神经变性对阿尔茨海默病的发展具有阶段性影响。A β和pTau是早期痴呆状态的较好预测因子,通常被定义为轻度认知障碍(MCI),而神经退行性变,特别是低糖摄取,是晚期痴呆状态或临床AD的较好预测因子。一个
Glucose Metabolism is a Better Marker for Predicting Clinical Alzheimer’s Disease than Amyloid or Tau
Alzheimer’s disease (AD) research has long been dominated with communications regarding the amyloid hypothesis and targeting amyloid clearance through pharmacological therapies from the brain [1]. Unfortunately, this research strategy has yielded only one new FDA-accelerated approved therapeutic for early AD, and its clinical benefit still needs to be verified [2]. It may be time to employ a new strategy in AD therapeutics research. Hammond et al. reported that diminished uptake of glucose in the brain is a better marker for classifying AD than beta-amyloid (A β ) or phosphorylated tau deposition [3]. The National Institute on Aging and the Alzheimer’s Association published revised guidelines for the diagnosis of AD to include the measurement of amyloid (A), tau (T), and neurodegeneration (N), when diagnosing and treating AD [4]. It is highly relevant to AD therapeutic research whether amyloid, tau, and neurodegeneration contribute equally to the progression of AD at all phases of the disease or in a matter dependent on disease phase. To be able to successfully treat or prevent AD, there is a pressing need to identify precision biomarkers that are sensitive to disease progression and able to predict onset of cognitive impairment [5]. Hammond et al. used an advanced statistical learning machine learning method, random forest, on data provided by the Alzheimer’s Disease Neuroimaging Initiative (ADNI) to measure the ability of beta-amyloid measured by positron emission tomography (A β -PET), phosphorylated tau measured in the cerebral spinal fluid (CSF-pTau), fluorodeoxyglucose measured by positron emission tomography (FDG-PET) and structural imaging measured by magnetic resonance imaging (MRI) to classify AD diagnosis. Their results demonstrated that amyloid, tau, and neurodegeneration have a phase-dependent impact on the development of AD. A β and pTau are better predictors of the early dementia status that is often defined as mild cognitive impairment (MCI), and neurodegeneration, especially low glucose uptake, is a better predictor of later dementia status, or clinical AD. A