Pub Date : 2024-07-25DOI: 10.1186/s13195-024-01526-4
Miriam Rabl, Leonardo Zullo, Piotr Lewczuk, Johannes Kornhuber, Thomas K Karikari, Kaj Blennow, Henrik Zetterberg, Francesco Bavato, Boris B Quednow, Erich Seifritz, Armin von Gunten, Christopher Clark, Julius Popp
Background: Neuropsychiatric symptoms (NPS) are common in older people, may occur early in the development of dementia disorders, and have been associated with faster cognitive decline. Here, our objectives were to investigate whether plasma levels of neurofilament light chain (NfL), glial fibrillary acid protein (GFAP), and tau phosphorylated at threonine 181 (pTau181) are associated with current NPS and predict future NPS in non-demented older people. Furthermore, we tested whether the presence of NPS combined with plasma biomarkers are useful to predict Alzheimer's disease (AD) pathology and cognitive decline.
Methods: One hundred and fifty-one participants with normal cognition (n = 76) or mild cognitive impairment (n = 75) were examined in a longitudinal brain aging study at the Memory Centers, University Hospital of Lausanne, Switzerland. Plasma levels of NfL, GFAP, and pTau181 along with CSF biomarkers of AD pathology were measured at baseline. NPS were assessed through the Neuropsychiatric Inventory Questionnaire (NPI-Q), along with the cognitive and functional performance at baseline and follow-up (mean: 20 months). Different regression and ROC analyses were used to address the associations of interest.
Results: None of the three plasma biomarker was associated with NPS at baseline. Higher GFAP levels were associated with the presence of NPS at follow-up (OR = 2.8, p = .002) and both, higher NfL and higher GFAP with an increase in the NPI-Q severity score over time (β = 0.25, p = .034 and β = 0.30, p = .013, respectively). Adding NPS and the plasma biomarkers to a reference model improved the prediction of future NPS (AUC 0.72 to 0.88, p = .002) and AD pathology (AUC 0.78 to 0.87, p = .010), but not of cognitive decline (AUC 0.79 to 0.85, p = .081).
Conclusion: Plasma NfL and GFAP are both associated with future NPS and NPS severity change. Considering the presence of NPS along with blood-based AD-biomarkers may improve the prediction of clinical progression of NPS over time and inform clinical decision-making in non-demented older people.
{"title":"Plasma neurofilament light, glial fibrillary acid protein, and phosphorylated tau 181 as biomarkers for neuropsychiatric symptoms and related clinical disease progression.","authors":"Miriam Rabl, Leonardo Zullo, Piotr Lewczuk, Johannes Kornhuber, Thomas K Karikari, Kaj Blennow, Henrik Zetterberg, Francesco Bavato, Boris B Quednow, Erich Seifritz, Armin von Gunten, Christopher Clark, Julius Popp","doi":"10.1186/s13195-024-01526-4","DOIUrl":"10.1186/s13195-024-01526-4","url":null,"abstract":"<p><strong>Background: </strong>Neuropsychiatric symptoms (NPS) are common in older people, may occur early in the development of dementia disorders, and have been associated with faster cognitive decline. Here, our objectives were to investigate whether plasma levels of neurofilament light chain (NfL), glial fibrillary acid protein (GFAP), and tau phosphorylated at threonine 181 (pTau181) are associated with current NPS and predict future NPS in non-demented older people. Furthermore, we tested whether the presence of NPS combined with plasma biomarkers are useful to predict Alzheimer's disease (AD) pathology and cognitive decline.</p><p><strong>Methods: </strong>One hundred and fifty-one participants with normal cognition (n = 76) or mild cognitive impairment (n = 75) were examined in a longitudinal brain aging study at the Memory Centers, University Hospital of Lausanne, Switzerland. Plasma levels of NfL, GFAP, and pTau181 along with CSF biomarkers of AD pathology were measured at baseline. NPS were assessed through the Neuropsychiatric Inventory Questionnaire (NPI-Q), along with the cognitive and functional performance at baseline and follow-up (mean: 20 months). Different regression and ROC analyses were used to address the associations of interest.</p><p><strong>Results: </strong>None of the three plasma biomarker was associated with NPS at baseline. Higher GFAP levels were associated with the presence of NPS at follow-up (OR = 2.8, p = .002) and both, higher NfL and higher GFAP with an increase in the NPI-Q severity score over time (β = 0.25, p = .034 and β = 0.30, p = .013, respectively). Adding NPS and the plasma biomarkers to a reference model improved the prediction of future NPS (AUC 0.72 to 0.88, p = .002) and AD pathology (AUC 0.78 to 0.87, p = .010), but not of cognitive decline (AUC 0.79 to 0.85, p = .081).</p><p><strong>Conclusion: </strong>Plasma NfL and GFAP are both associated with future NPS and NPS severity change. Considering the presence of NPS along with blood-based AD-biomarkers may improve the prediction of clinical progression of NPS over time and inform clinical decision-making in non-demented older people.</p>","PeriodicalId":7516,"journal":{"name":"Alzheimer's Research & Therapy","volume":null,"pages":null},"PeriodicalIF":7.9,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11270946/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141756559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-23DOI: 10.1186/s13195-024-01534-4
Jeong Hyeon Byeon, Min Soo Byun, Dahyun Yi, Joon Hyung Jung, Bo Kyung Sohn, Yoon Young Chang, Nayeong Kong, Gijung Jung, Hyejin Ahn, Jun-Young Lee, Yun-Sang Lee, Yu Kyeong Kim, Dong Young Lee
Background: Altered thyroid hormone levels have been associated with increased risk of Alzheimer's disease (AD) dementia and related cognitive decline. However, the neuropathological substrates underlying the link between thyroid hormones and AD dementia are not yet fully understood. We first investigated the association between serum thyroid hormone levels and in vivo AD pathologies including both beta-amyloid (Aβ) and tau deposition measured by positron emission tomography (PET). Given the well-known relationship between Aβ and tau pathology in AD, we additionally examined the moderating effects of thyroid hormone levels on the association between Aβ and tau deposition.
Methods: This cross-sectional study was conducted as part of the Korean Brain Aging Study for Early Diagnosis and Prediction of Alzheimer's Disease (KBASE) cohort. This study included a total of 291 cognitively normal adults aged 55 to 90. All participants received comprehensive clinical assessments, measurements for serum total triiodothyronine (T3), free triiodothyronine (fT3), free thyroxine (fT4), and thyroid-stimulating hormone (TSH), and brain imaging evaluations including [11C]-Pittsburgh compound B (PiB)- PET and [18F] AV-1451 PET.
Results: No associations were found between either thyroid hormones or TSH and Aβ and tau deposition on PET. However, fT4 (p = 0.002) and fT3 (p = 0.001) exhibited significant interactions with Aβ on tau deposition: The sensitivity analyses conducted after the removal of an outlier showed that the interaction effect between fT4 and Aβ deposition was not significant, whereas the interaction between fT3 and Aβ deposition remained significant. However, further subgroup analyses demonstrated a more pronounced positive relationship between Aβ and tau in both the higher fT4 and fT3 groups compared to the lower group, irrespective of outlier removal. Meanwhile, neither T3 nor TSH had any interaction with Aβ on tau deposition.
Conclusion: Our findings suggest that serum thyroid hormones may moderate the relationship between cerebral Aβ and tau pathology. Higher levels of serum thyroid hormones could potentially accelerate the Aβ-dependent tau deposition in the brain. Further replication studies in independent samples are needed to verify the current results.
背景:甲状腺激素水平的改变与阿尔茨海默病(AD)痴呆症和相关认知能力下降的风险增加有关。然而,甲状腺激素与阿尔茨海默病痴呆之间联系的神经病理学基础尚未完全清楚。我们首先研究了血清甲状腺激素水平与体内AD病理学之间的关系,包括通过正电子发射断层扫描(PET)测量的β-淀粉样蛋白(Aβ)和tau沉积。鉴于众所周知的Aβ与AD中tau病理之间的关系,我们还研究了甲状腺激素水平对Aβ与tau沉积之间关系的调节作用:这项横断面研究是韩国阿尔茨海默病早期诊断和预测脑老化研究(KBASE)队列的一部分。这项研究共包括 291 名认知正常的成年人,年龄在 55 至 90 岁之间。所有参与者都接受了全面的临床评估、血清总三碘甲状腺原氨酸(T3)、游离三碘甲状腺原氨酸(fT3)、游离甲状腺素(fT4)和促甲状腺激素(TSH)测量,以及脑成像评估,包括[11C]-匹兹堡化合物 B (PiB)PET 和 [18F] AV-1451 PET:结果:甲状腺激素或促甲状腺激素与 PET 上的 Aβ 和 tau 沉积均无关联。然而,fT4(p = 0.002)和fT3(p = 0.001)与Aβ在tau沉积上有显著的交互作用:剔除一个离群值后进行的敏感性分析表明,fT4 与 Aβ 沉积之间的交互作用不显著,而 fT3 与 Aβ 沉积之间的交互作用仍然显著。然而,进一步的亚组分析表明,无论是否去除离群值,fT4和fT3较高的组别与较低的组别相比,Aβ和tau之间的正相关关系更为明显。同时,T3和TSH与Aβ对tau沉积都没有相互作用:我们的研究结果表明,血清甲状腺激素可能会缓和脑Aβ与tau病理学之间的关系。结论:我们的研究结果表明,血清甲状腺激素可能会缓和脑Aβ与tau病理学之间的关系,较高水平的血清甲状腺激素可能会加速脑Aβ依赖性tau沉积。要验证目前的结果,还需要在独立样本中进行进一步的重复研究。
{"title":"Moderation of thyroid hormones for the relationship between amyloid and tau pathology.","authors":"Jeong Hyeon Byeon, Min Soo Byun, Dahyun Yi, Joon Hyung Jung, Bo Kyung Sohn, Yoon Young Chang, Nayeong Kong, Gijung Jung, Hyejin Ahn, Jun-Young Lee, Yun-Sang Lee, Yu Kyeong Kim, Dong Young Lee","doi":"10.1186/s13195-024-01534-4","DOIUrl":"10.1186/s13195-024-01534-4","url":null,"abstract":"<p><strong>Background: </strong>Altered thyroid hormone levels have been associated with increased risk of Alzheimer's disease (AD) dementia and related cognitive decline. However, the neuropathological substrates underlying the link between thyroid hormones and AD dementia are not yet fully understood. We first investigated the association between serum thyroid hormone levels and in vivo AD pathologies including both beta-amyloid (Aβ) and tau deposition measured by positron emission tomography (PET). Given the well-known relationship between Aβ and tau pathology in AD, we additionally examined the moderating effects of thyroid hormone levels on the association between Aβ and tau deposition.</p><p><strong>Methods: </strong>This cross-sectional study was conducted as part of the Korean Brain Aging Study for Early Diagnosis and Prediction of Alzheimer's Disease (KBASE) cohort. This study included a total of 291 cognitively normal adults aged 55 to 90. All participants received comprehensive clinical assessments, measurements for serum total triiodothyronine (T3), free triiodothyronine (fT3), free thyroxine (fT4), and thyroid-stimulating hormone (TSH), and brain imaging evaluations including [<sup>11</sup>C]-Pittsburgh compound B (PiB)- PET and [<sup>18</sup>F] AV-1451 PET.</p><p><strong>Results: </strong>No associations were found between either thyroid hormones or TSH and Aβ and tau deposition on PET. However, fT4 (p = 0.002) and fT3 (p = 0.001) exhibited significant interactions with Aβ on tau deposition: The sensitivity analyses conducted after the removal of an outlier showed that the interaction effect between fT4 and Aβ deposition was not significant, whereas the interaction between fT3 and Aβ deposition remained significant. However, further subgroup analyses demonstrated a more pronounced positive relationship between Aβ and tau in both the higher fT4 and fT3 groups compared to the lower group, irrespective of outlier removal. Meanwhile, neither T3 nor TSH had any interaction with Aβ on tau deposition.</p><p><strong>Conclusion: </strong>Our findings suggest that serum thyroid hormones may moderate the relationship between cerebral Aβ and tau pathology. Higher levels of serum thyroid hormones could potentially accelerate the Aβ-dependent tau deposition in the brain. Further replication studies in independent samples are needed to verify the current results.</p>","PeriodicalId":7516,"journal":{"name":"Alzheimer's Research & Therapy","volume":null,"pages":null},"PeriodicalIF":7.9,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11264392/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141750879","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-23DOI: 10.1186/s13195-024-01530-8
Elsa Reallon, Frédéric Gervais, Claire Moutet, Virginie Dauphinot, Pauline Desnavailles, Teddy Novais, Pierre Krolak-Salmon, Antoine Garnier-Crussard, Christelle Mouchoux
Background: Long-term exposure to anticholinergic and sedative drugs could be a modifiable risk factor for cognitive decline. The objective of this study was to measure the association between previous cumulative anticholinergic and sedative drug exposure (Drug Burden Index) and cognitive decline.
Methods: A cohort study (MEMORA cohort) was conducted in a French memory clinic for patients attending a consultation between November 2014 and December 2020, with at least 2 Mini-Mental State Examination (MMSE) measurements (≥ 6 months apart) and available medication data from the local Primary Health Insurance Fund database (n = 1,970). Drug Burden Index was linearly cumulated until each MMSE measurement and was used to categorise patients according to their level of exposure (no exposure, moderate, or high). The longitudinal association between Drug Burden Index and MMSE was assessed using a multivariate linear mixed model, adjusted for age, education level, anxiety disorders, depressive disorders, functional autonomy, and behavioural disorders.
Results: Overall, 1,970 patients were included with a mean follow-up duration of 2.78 years (± 1.54) and 2.99 visits per patients (5,900 MMSE + Drug Burden Index measurements collected). At baseline, 68.0% of patients had moderate cumulative anticholinergic and sedative drug exposure and a mean MMSE of 21.1. MMSE decrease was steeper in patients with moderate and high Drug Burden Index ( -1.74 and -1.70/year, respectively) than in patients with no exposure (-1.26/year) after adjusting for age, education, anxiety and depressive disorders, functional autonomy, and behavioural disorders (p < 0.01).
Conclusions: Long-term exposure to anticholinergic and sedative drugs is associated with steeper cognitive decline. Medication review focusing on de-prescribing these drugs could be implemented early to reduce cognitive impairment.
{"title":"Impact of cumulative exposure to anticholinergic and sedative drugs on cognition in older adults: a memory clinic cohort study.","authors":"Elsa Reallon, Frédéric Gervais, Claire Moutet, Virginie Dauphinot, Pauline Desnavailles, Teddy Novais, Pierre Krolak-Salmon, Antoine Garnier-Crussard, Christelle Mouchoux","doi":"10.1186/s13195-024-01530-8","DOIUrl":"10.1186/s13195-024-01530-8","url":null,"abstract":"<p><strong>Background: </strong>Long-term exposure to anticholinergic and sedative drugs could be a modifiable risk factor for cognitive decline. The objective of this study was to measure the association between previous cumulative anticholinergic and sedative drug exposure (Drug Burden Index) and cognitive decline.</p><p><strong>Methods: </strong>A cohort study (MEMORA cohort) was conducted in a French memory clinic for patients attending a consultation between November 2014 and December 2020, with at least 2 Mini-Mental State Examination (MMSE) measurements (≥ 6 months apart) and available medication data from the local Primary Health Insurance Fund database (n = 1,970). Drug Burden Index was linearly cumulated until each MMSE measurement and was used to categorise patients according to their level of exposure (no exposure, moderate, or high). The longitudinal association between Drug Burden Index and MMSE was assessed using a multivariate linear mixed model, adjusted for age, education level, anxiety disorders, depressive disorders, functional autonomy, and behavioural disorders.</p><p><strong>Results: </strong>Overall, 1,970 patients were included with a mean follow-up duration of 2.78 years (± 1.54) and 2.99 visits per patients (5,900 MMSE + Drug Burden Index measurements collected). At baseline, 68.0% of patients had moderate cumulative anticholinergic and sedative drug exposure and a mean MMSE of 21.1. MMSE decrease was steeper in patients with moderate and high Drug Burden Index ( -1.74 and -1.70/year, respectively) than in patients with no exposure (-1.26/year) after adjusting for age, education, anxiety and depressive disorders, functional autonomy, and behavioural disorders (p < 0.01).</p><p><strong>Conclusions: </strong>Long-term exposure to anticholinergic and sedative drugs is associated with steeper cognitive decline. Medication review focusing on de-prescribing these drugs could be implemented early to reduce cognitive impairment.</p>","PeriodicalId":7516,"journal":{"name":"Alzheimer's Research & Therapy","volume":null,"pages":null},"PeriodicalIF":7.9,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11264467/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141750878","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-22DOI: 10.1186/s13195-024-01509-5
Yi-Ting Wang, Joseph Therriault, Cécile Tissot, Stijn Servaes, Nesrine Rahmouni, Arthur Cassa Macedo, Jaime Fernandez-Arias, Sulantha S Mathotaarachchi, Jenna Stevenson, Firoza Z Lussier, Andréa L Benedet, Tharick A Pascoal, Nicholas J Ashton, Henrik Zetterberg, Kaj Blennow, Serge Gauthier, Pedro Rosa-Neto
Background: Females represent approximately 70% of the Alzheimer's disease (AD) cases and the literature has proposed a connection between the decreased estrogen levels during menopause and an increased AD risk. Previous investigations have predominantly focused on assessing how hormone therapy (HT) affects the likelihood of AD development and cognitive deterioration. However, as the research framework has shifted toward a biomarker-defined AD and alterations in specific biomarkers could take place years before cognitive decline becomes discernible, it is crucial to examine how HT influences AD biomarkers. The main goal of this study was to evaluate the impact of HT on AD biomarker-informed pathophysiology in both cognitively unimpaired (CU) and cognitively impaired (CI) post-menopausal females across the aging and AD spectrum.
Methods: This cross-sectional study included post-menopausal females without HT history (HT-) and with HT (HT+) at the time of PET imaging assessment from two cohorts: the Translational Biomarkers in Aging and Dementia (TRIAD) cohort, and the Alzheimer's Disease Neuroimaging Initiative (ADNI). Participants underwent magnetic resonance imaging (MRI), positron emission tomography (PET) and biofluid collection. Voxel-based t-tests were performed to assess the differences in amyloid-β (Aβ) and tau neurofibrillary tangles (NFTs) loads between HT- and HT + females. Linear regression models with interaction terms were also conducted to examine the interactive effects of HT and Aβ-PET on regional tau-PET.
Results: HT + females demonstrated significantly lower tau-PET standardized uptake value ratio (SUVR) in Braak I-II ROIs (P < 0.05, Hedges' g = 0.73), Braak III-IV ROIs (P < 0.0001, Hedges' g = 0.74) and Braak V-VI ROIs (P < 0.0001, Hedges' g = 0.69) compared to HT- females. HT + females also showed significantly lower CSF p-tau181 (P < 0.001) and plasma p-tau181 (P < 0.0001) concentrations. Additionally, results from multivariate linear regression models indicated that HT interacts with cortical Aβ and is associated with lower regional NFT load.
Conclusions: Overall, findings from this observational study suggest that HT is associated with lower tau neuroimaging and fluid biomarkers in postmenopausal females. Due to the close link between tau and cognition, this study highlights the need for large randomized controlled trials designed to systemically study the influences of HT on AD biomarkers and disease progression.
背景:女性约占阿尔茨海默病(AD)病例的 70%,有文献提出更年期雌激素水平下降与阿尔茨海默病风险增加之间存在联系。以前的研究主要集中在评估激素疗法(HT)如何影响阿尔茨海默病的发病和认知退化的可能性。然而,由于研究框架已转向生物标志物定义的注意力缺失症,而特定生物标志物的改变可能发生在认知能力下降变得明显之前数年,因此研究 HT 如何影响注意力缺失症生物标志物至关重要。本研究的主要目的是评估 HT 对认知功能未受损(CU)和认知功能受损(CI)的绝经后女性在整个衰老和 AD 谱系中的 AD 生物标志物病理生理学的影响:这项横断面研究纳入了进行 PET 成像评估时无高血压病史(HT-)和有高血压病史(HT+)的绝经后女性,这些女性来自两个队列:衰老与痴呆转化生物标志物队列(TRIAD)和阿尔茨海默病神经影像学倡议(ADNI)。参与者接受了磁共振成像(MRI)、正电子发射断层扫描(PET)和生物流体采集。对高密度脂蛋白血症女性和高密度脂蛋白血症+女性之间淀粉样蛋白-β(Aβ)和tau神经纤维缠结(NFTs)负荷的差异进行了基于体素的t检验。此外,还建立了带有交互项的线性回归模型,以研究 HT 和 Aβ-PET 对区域 tau-PET 的交互作用:结果:HT + 女性在 Braak I-II ROI 中的 tau-PET 标准化摄取值比(SUVR)明显较低(P 181):总体而言,这项观察性研究的结果表明,HT 与绝经后女性较低的 tau 神经影像和体液生物标志物有关。鉴于 tau 与认知之间的密切联系,本研究强调了进行大型随机对照试验的必要性,这些试验旨在系统研究 HT 对注意力缺失症生物标志物和疾病进展的影响。
{"title":"Hormone therapy is associated with lower Alzheimer's disease tau biomarkers in post-menopausal females -evidence from two independent cohorts.","authors":"Yi-Ting Wang, Joseph Therriault, Cécile Tissot, Stijn Servaes, Nesrine Rahmouni, Arthur Cassa Macedo, Jaime Fernandez-Arias, Sulantha S Mathotaarachchi, Jenna Stevenson, Firoza Z Lussier, Andréa L Benedet, Tharick A Pascoal, Nicholas J Ashton, Henrik Zetterberg, Kaj Blennow, Serge Gauthier, Pedro Rosa-Neto","doi":"10.1186/s13195-024-01509-5","DOIUrl":"10.1186/s13195-024-01509-5","url":null,"abstract":"<p><strong>Background: </strong>Females represent approximately 70% of the Alzheimer's disease (AD) cases and the literature has proposed a connection between the decreased estrogen levels during menopause and an increased AD risk. Previous investigations have predominantly focused on assessing how hormone therapy (HT) affects the likelihood of AD development and cognitive deterioration. However, as the research framework has shifted toward a biomarker-defined AD and alterations in specific biomarkers could take place years before cognitive decline becomes discernible, it is crucial to examine how HT influences AD biomarkers. The main goal of this study was to evaluate the impact of HT on AD biomarker-informed pathophysiology in both cognitively unimpaired (CU) and cognitively impaired (CI) post-menopausal females across the aging and AD spectrum.</p><p><strong>Methods: </strong>This cross-sectional study included post-menopausal females without HT history (HT-) and with HT (HT+) at the time of PET imaging assessment from two cohorts: the Translational Biomarkers in Aging and Dementia (TRIAD) cohort, and the Alzheimer's Disease Neuroimaging Initiative (ADNI). Participants underwent magnetic resonance imaging (MRI), positron emission tomography (PET) and biofluid collection. Voxel-based t-tests were performed to assess the differences in amyloid-β (Aβ) and tau neurofibrillary tangles (NFTs) loads between HT- and HT + females. Linear regression models with interaction terms were also conducted to examine the interactive effects of HT and Aβ-PET on regional tau-PET.</p><p><strong>Results: </strong>HT + females demonstrated significantly lower tau-PET standardized uptake value ratio (SUVR) in Braak I-II ROIs (P < 0.05, Hedges' g = 0.73), Braak III-IV ROIs (P < 0.0001, Hedges' g = 0.74) and Braak V-VI ROIs (P < 0.0001, Hedges' g = 0.69) compared to HT- females. HT + females also showed significantly lower CSF p-tau<sub>181</sub> (P < 0.001) and plasma p-tau<sub>181</sub> (P < 0.0001) concentrations. Additionally, results from multivariate linear regression models indicated that HT interacts with cortical Aβ and is associated with lower regional NFT load.</p><p><strong>Conclusions: </strong>Overall, findings from this observational study suggest that HT is associated with lower tau neuroimaging and fluid biomarkers in postmenopausal females. Due to the close link between tau and cognition, this study highlights the need for large randomized controlled trials designed to systemically study the influences of HT on AD biomarkers and disease progression.</p>","PeriodicalId":7516,"journal":{"name":"Alzheimer's Research & Therapy","volume":null,"pages":null},"PeriodicalIF":7.9,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11265084/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141733255","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-19DOI: 10.1186/s13195-024-01527-3
Jie Zhang, Yanshuang Jiang, Xiangjun Dong, Zijun Meng, Liangye Ji, Yu Kang, Mingjing Liu, Weihui Zhou, Weihong Song
Background: Alpha-lipoic acid (ALA) has a neuroprotective effect on neurodegenerative diseases. In the clinic, ALA can improve cognitive impairments in patients with Alzheimer's disease (AD) and other dementias. Animal studies have confirmed the anti-amyloidosis effect of ALA, but its underlying mechanism remains unclear. In particular, the role of ALA in amyloid-β precursor protein (APP) metabolism has not been fully elucidated.
Objective: To investigate whether ALA can reduce the amyloidogenic effect of APP in a transgenic mouse model of AD, and to study the mechanism underlying this effect.
Methods: ALA was infused into 2-month-old APP23/PS45 transgenic mice for 4 consecutive months and their cognitive function and AD-like pathology were then evaluated. An ALA drug concentration gradient was applied to 20E2 cells in vitro to evaluate its effect on the expression of APP proteolytic enzymes and metabolites. The mechanism by which ALA affects APP processing was studied using GI254023X, an inhibitor of A Disintegrin and Metalloproteinase 10 (ADAM10), as well as the mitochondrial toxic drug carbonyl cyanide m-chlorophenylhydrazone (CCCP).
Results: Administration of ALA ameliorated amyloid plaque neuropathology in the brain tissue of APP23/PS45 mice and reduced learning and memory impairment. ALA also increased the expression of ADAM10 in 20E2 cells and the non-amyloidogenic processing of APP to produce the 83 amino acid C-terminal fragment (C83). In addition to activating autophagy, ALA also significantly promoted mitophagy. BNIP3L-knockdown reduced the mat/pro ratio of ADAM10. By using CCCP, ALA was found to regulate BNIP3L-mediated mitophagy, thereby promoting the α-cleavage of APP.
Conclusions: The enhanced α-secretase cleavage of APP by ADAM10 is the primary mechanism through which ALA ameliorates the cognitive deficits in APP23/PS45 transgenic mice. BNIP3L-mediated mitophagy contributes to the anti-amyloid properties of ALA by facilitating the maturation of ADAM10. This study provides novel experimental evidence for the treatment of AD with ALA.
背景:α-硫辛酸(ALA)对神经退行性疾病具有神经保护作用:α-硫辛酸(ALA)对神经退行性疾病有保护作用。在临床上,ALA 可以改善阿尔茨海默病(AD)和其他痴呆症患者的认知障碍。动物实验证实了 ALA 的抗淀粉样变性作用,但其潜在机制仍不清楚。尤其是ALA在淀粉样β前体蛋白(APP)代谢中的作用尚未完全阐明:目的:研究ALA是否能降低转基因小鼠AD模型中APP的淀粉样蛋白生成效应,并研究其作用机制:方法:给2个月大的APP23/PS45转基因小鼠连续注射4个月的ALA,然后评估其认知功能和AD样病理变化。在体外将ALA药物浓度梯度应用于20E2细胞,以评估其对APP蛋白水解酶和代谢产物表达的影响。使用A分解蛋白和金属蛋白酶10(ADAM10)抑制剂GI254023X以及线粒体毒性药物间氯苯基腙(CCCP)研究了ALA影响APP处理的机制:结果:ALA能改善APP23/PS45小鼠脑组织中淀粉样斑块的神经病理学,并减轻学习和记忆障碍。ALA还能增加20E2细胞中ADAM10的表达,并增加APP的非淀粉样蛋白生成处理,以产生83个氨基酸的C端片段(C83)。除了激活自噬,ALA还能显著促进有丝分裂。敲除 BNIP3L 会降低 ADAM10 的 mat/pro 比率。通过使用CCCP,发现ALA能调节BNIP3L介导的有丝分裂,从而促进APP的α-清除:结论:ADAM10对APP的α分泌酶裂解作用增强是ALA改善APP23/PS45转基因小鼠认知缺陷的主要机制。BNIP3L介导的有丝分裂可促进ADAM10的成熟,从而有助于ALA的抗淀粉样蛋白特性。这项研究为用ALA治疗AD提供了新的实验证据。
{"title":"Alpha-lipoic acid alleviates cognitive deficits in transgenic APP23/PS45 mice through a mitophagy-mediated increase in ADAM10 α-secretase cleavage of APP.","authors":"Jie Zhang, Yanshuang Jiang, Xiangjun Dong, Zijun Meng, Liangye Ji, Yu Kang, Mingjing Liu, Weihui Zhou, Weihong Song","doi":"10.1186/s13195-024-01527-3","DOIUrl":"10.1186/s13195-024-01527-3","url":null,"abstract":"<p><strong>Background: </strong>Alpha-lipoic acid (ALA) has a neuroprotective effect on neurodegenerative diseases. In the clinic, ALA can improve cognitive impairments in patients with Alzheimer's disease (AD) and other dementias. Animal studies have confirmed the anti-amyloidosis effect of ALA, but its underlying mechanism remains unclear. In particular, the role of ALA in amyloid-β precursor protein (APP) metabolism has not been fully elucidated.</p><p><strong>Objective: </strong>To investigate whether ALA can reduce the amyloidogenic effect of APP in a transgenic mouse model of AD, and to study the mechanism underlying this effect.</p><p><strong>Methods: </strong>ALA was infused into 2-month-old APP23/PS45 transgenic mice for 4 consecutive months and their cognitive function and AD-like pathology were then evaluated. An ALA drug concentration gradient was applied to 20E2 cells in vitro to evaluate its effect on the expression of APP proteolytic enzymes and metabolites. The mechanism by which ALA affects APP processing was studied using GI254023X, an inhibitor of A Disintegrin and Metalloproteinase 10 (ADAM10), as well as the mitochondrial toxic drug carbonyl cyanide m-chlorophenylhydrazone (CCCP).</p><p><strong>Results: </strong>Administration of ALA ameliorated amyloid plaque neuropathology in the brain tissue of APP23/PS45 mice and reduced learning and memory impairment. ALA also increased the expression of ADAM10 in 20E2 cells and the non-amyloidogenic processing of APP to produce the 83 amino acid C-terminal fragment (C83). In addition to activating autophagy, ALA also significantly promoted mitophagy. BNIP3L-knockdown reduced the mat/pro ratio of ADAM10. By using CCCP, ALA was found to regulate BNIP3L-mediated mitophagy, thereby promoting the α-cleavage of APP.</p><p><strong>Conclusions: </strong>The enhanced α-secretase cleavage of APP by ADAM10 is the primary mechanism through which ALA ameliorates the cognitive deficits in APP23/PS45 transgenic mice. BNIP3L-mediated mitophagy contributes to the anti-amyloid properties of ALA by facilitating the maturation of ADAM10. This study provides novel experimental evidence for the treatment of AD with ALA.</p>","PeriodicalId":7516,"journal":{"name":"Alzheimer's Research & Therapy","volume":null,"pages":null},"PeriodicalIF":7.9,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11264788/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141726738","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-19DOI: 10.1186/s13195-024-01528-2
Abigail Dove, Wenzhe Yang, Serhiy Dekhtyar, Jie Guo, Jiao Wang, Anna Marseglia, Davide Liborio Vetrano, Rachel A Whitmer, Weili Xu
Background: Cardiometabolic diseases (CMDs) including type 2 diabetes, heart disease, and stroke have been linked to a higher risk of dementia. We examined whether high levels of cognitive reserve (CR) can attenuate the increased dementia risk and brain pathologies associated with CMDs.
Methods: Within the UK Biobank, 216,178 dementia-free participants aged ≥ 60 were followed for up to 15 years. Baseline CMDs and incident dementia were ascertained from medical records, medication use, and medical history. Latent class analysis was used to generate an indicator of CR (low, moderate, and high) based on education, occupational attainment, confiding in others, social contact, leisure activities, and television watching time. A subsample (n = 13,663) underwent brain MRI scans during follow-up. Volumes of total gray matter (GMV), hippocampus (HV), and white matter hyperintensities (WMHV) were ascertained, as well as mean diffusivity (MD) and fractional anisotropy (FA) in white matter tracts.
Results: At baseline, 43,402 (20.1%) participants had at least one CMD. Over a mean follow-up of 11.7 years, 6,600 (3.1%) developed dementia. The presence of CMDs was associated with 57% increased risk of dementia (HR 1.57 [95% CI 1.48, 1.67]). In joint effect analysis, the HRs of dementia for people with CMDs and moderate-to-high CR and low CR were 1.78 [1.66, 1.91] and 2.13 [1.97, 2.30]), respectively (reference: CMD-free, moderate-to-high CR). Dementia risk was 17% lower (HR 0.83 [0.77, 0.91], p < 0.001) among people with CMDs and moderate-to-high compared to low CR. On brain MRI, CMDs were associated with smaller GMV (β -0.18 [-0.22, -0.13]) and HV (β -0.13 [-0.18, -0.08]) as well as significantly larger WMHV (β 0.06 [0.02, 0.11]) and MD (β 0.08 [0.02, 0.13]). People with CMDs and moderate-to-high compared to low CR had significantly larger GMV and HV, but no differences in WMHV, MD, or FA.
Conclusions: Among people with CMDs, having a higher level of CR was associated with lower dementia risk and larger gray matter and hippocampal volumes. The results highlight a mentally and socially active life as a modifiable factor that may support cognitive and brain health among people with CMDs.
{"title":"High cognitive reserve attenuates the risk of dementia associated with cardiometabolic diseases.","authors":"Abigail Dove, Wenzhe Yang, Serhiy Dekhtyar, Jie Guo, Jiao Wang, Anna Marseglia, Davide Liborio Vetrano, Rachel A Whitmer, Weili Xu","doi":"10.1186/s13195-024-01528-2","DOIUrl":"10.1186/s13195-024-01528-2","url":null,"abstract":"<p><strong>Background: </strong>Cardiometabolic diseases (CMDs) including type 2 diabetes, heart disease, and stroke have been linked to a higher risk of dementia. We examined whether high levels of cognitive reserve (CR) can attenuate the increased dementia risk and brain pathologies associated with CMDs.</p><p><strong>Methods: </strong>Within the UK Biobank, 216,178 dementia-free participants aged ≥ 60 were followed for up to 15 years. Baseline CMDs and incident dementia were ascertained from medical records, medication use, and medical history. Latent class analysis was used to generate an indicator of CR (low, moderate, and high) based on education, occupational attainment, confiding in others, social contact, leisure activities, and television watching time. A subsample (n = 13,663) underwent brain MRI scans during follow-up. Volumes of total gray matter (GMV), hippocampus (HV), and white matter hyperintensities (WMHV) were ascertained, as well as mean diffusivity (MD) and fractional anisotropy (FA) in white matter tracts.</p><p><strong>Results: </strong>At baseline, 43,402 (20.1%) participants had at least one CMD. Over a mean follow-up of 11.7 years, 6,600 (3.1%) developed dementia. The presence of CMDs was associated with 57% increased risk of dementia (HR 1.57 [95% CI 1.48, 1.67]). In joint effect analysis, the HRs of dementia for people with CMDs and moderate-to-high CR and low CR were 1.78 [1.66, 1.91] and 2.13 [1.97, 2.30]), respectively (reference: CMD-free, moderate-to-high CR). Dementia risk was 17% lower (HR 0.83 [0.77, 0.91], p < 0.001) among people with CMDs and moderate-to-high compared to low CR. On brain MRI, CMDs were associated with smaller GMV (β -0.18 [-0.22, -0.13]) and HV (β -0.13 [-0.18, -0.08]) as well as significantly larger WMHV (β 0.06 [0.02, 0.11]) and MD (β 0.08 [0.02, 0.13]). People with CMDs and moderate-to-high compared to low CR had significantly larger GMV and HV, but no differences in WMHV, MD, or FA.</p><p><strong>Conclusions: </strong>Among people with CMDs, having a higher level of CR was associated with lower dementia risk and larger gray matter and hippocampal volumes. The results highlight a mentally and socially active life as a modifiable factor that may support cognitive and brain health among people with CMDs.</p>","PeriodicalId":7516,"journal":{"name":"Alzheimer's Research & Therapy","volume":null,"pages":null},"PeriodicalIF":7.9,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11264799/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141726739","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Following publication of the original article [1], the authors corrected an error in Fig. 2.
Error: Figs. 2C and D are the same figures as Figs. 2A and B in the published article.
The corrected figure is given below:
The original article [1] has been updated.
Kikuchi M, Miyashita A, Hara N, et al. Polygenic effects on the risk of Alzheimer’s disease in the Japanese population. Alz Res Therapy. 2024;16:45. https://doi.org/10.1186/s13195-024-01414-x.
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Authors and Affiliations
Department of Computational Biology and Medical Sciences, Graduate School of Frontier Science, The University of Tokyo, 6‑2‑3 Kashiwanoha, Kashiwa, Chiba, 277‑0882, Japan
Masataka Kikuchi & Akihiro Nakaya
Department of Medical Informatics, Graduate School of Medicine, Osaka University, Osaka, Japan
Masataka Kikuchi
Department of Molecular Genetics, Brain Research Institute, Niigata University, 1‑757 Asahimachi, Niigata, 951‑8585, Japan
Brain Bank for Aging Research (Department of Neuropathology), Tokyo Metropolitan Institute of Geriatrics and Gerontology, Tokyo, Japan
Yuko Saito & Shigeo Murayama
Brain Bank for Neurodevelopmental, Neurological and Psyc
更正:Alz Res Therapy 16, 45 (2024)https://doi.org/10.1186/s13195-024-01414-xFollowing 原文[1]发表后,作者更正了图 2 中的一处错误。图 2 PRS.noAPOE 和 PRS.adjLD 与 MCI 中 CSF Tau/Aβ42 比率的相关性。各诊断组按 PRS 十分位数的 CSF tTau/Aβ42(A,C)和 pTau/Aβ42(B,D)比值如图所示。根据 PRS.noAPOE 将参与者分为 10 组,从最低组(第 1 十分位数)到最高组(第 10 十分位数)不等。CN = 认知正常;MCI = 轻度认知障碍;ADD = 阿尔茨海默病痴呆全图错误:Kikuchi M, Miyashita A, Hara N, et al. Polygenic effects on the risk of Alzheimer's disease in the Japanese population.Alz Res Therapy.2024;16:45. https://doi.org/10.1186/s13195-024-01414-x.Article CAS Google Scholar Download references作者及工作单位东京大学研究生院前沿科学研究科计算生物学与医学科学部,6-2-3 Kashiwanoha, Kashiwa, Chiba, 277-0882, JapanMasataka Kikuchi &;Akihiro NakayaDepartment of Medical Informatics, Graduate School of Medicine, Osaka University, Osaka, JapanMasataka KikuchiDepartment of Molecular Genetics, Brain Research Institute, Niigata University, 1-757 Asahimachi, Niigata, 951-8585, JapanAkinori Miyashita, Norikazu Hara, Kensaku Kasuga &;Takeshi Ikeuchi 老化研究脑库(神经病理学系),东京都老年医学和老年学研究所,日本东京 Yuko Saito & Shigeo Murayama 神经发育、神经和精神疾病脑库,大阪大学儿童发育联合研究生院,日本大阪 Shigeo Murayama 新泻大学脑研究所病理学系,日本新泻 Akiyoshi Kakita 综合医学系 &;名古屋市立大学医学研究生院普通内科学部,日本名古屋赤津弘安国立老年医学和老年学中心医学基因组中心,日本爱知县,Kouichi Ozaki RIKEN Center for Integrative Medical Sciences,日本神奈川县,Kouichi OzakiCore Facility Administration、日本冈山旭川旭川旭川旭川旭川旭川旭川旭川旭川旭川旭川旭川旭川旭川旭川旭川旭川研究所,日本冈山JapanTakeshi IwatsuboAuthorsMasataka KikuchiView Author publications您也可以在PubMed Google ScholarAkinori MiyashitaView Author publications您也可以在PubMed Google ScholarNorikazu HaraView Author publications您也可以在PubMed Google ScholarKensaku KasugaView Author publications您也可以在PubMed Google Scholar搜索该作者您也可以在 PubMed Google Scholar中搜索这位作者Yuko Saito查看作者发表的作品您也可以在 PubMed Google Scholar中搜索这位作者Shigeo Murayama查看作者发表的作品您也可以在 PubMed Google Scholar中搜索这位作者Akiyoshi Kakita查看作者发表的作品您也可以在 PubMed Google Scholar中搜索这位作者Hiroyasu Akatsu查看作者发表的作品您也可以在 PubMed Google Scholar中搜索这位作者Hiroyasu Akatsu查看作者发表的作品作者发表的作品您也可以在 PubMed Google Scholar中搜索该作者Kouichi Ozaki查看作者发表的作品您也可以在 PubMed Google Scholar中搜索该作者Shumpei Niida查看作者发表的作品您也可以在 PubMed Google Scholar中搜索该作者Ryozo Kuwano查看作者发表的作品您也可以在 PubMed Google Scholar中搜索该作者ScholarTakeshi IwatsuboView 作者发表作品您也可以在 PubMed Google ScholarAkihiro NakayaView 作者发表作品您也可以在 PubMed Google ScholarTakeshi IkeuchiView 作者发表作品您也可以在 PubMed Google ScholarConsortiathe Alzheimer's Disease Neuroimaging Initiative迈克尔.Weiner、Sara S. Mason、Colleen S. Albers、David Knopman、Kris Johnson、Paul Aisen、Ronald Petersen、Clifford R. Jack、William Jagust、John Q. Trojanowki、Arthur W. Toga、Lon S.Schneider, Sonia Pawluczyk, Mauricio Beccera, Liberty Teodoro, Bryan M. Spann, Laurel Beckett, Robert C. Green, John Morris, Leslie M. Shaw, Beau Ances, John C. Morris, Maria Carroll, Mary L. Creech, Erin Franklin, Mark A.Mintun, Stacy Schneider, Angela Oliver, Jeffrey Kaye, Joseph Quinn, Lisa Silbert, Betty Lind, Raina Carter, Sara Dolen, James Brewer, Helen Vanderswag, Adam Fleisher, Judith L. Heidebrink, Joanne L. Lord, Rachelle S.Doody, Javier Villan
{"title":"Correction: Polygenic effects on the risk of Alzheimer’s disease in the Japanese population","authors":"Masataka Kikuchi, Akinori Miyashita, Norikazu Hara, Kensaku Kasuga, Yuko Saito, Shigeo Murayama, Akiyoshi Kakita, Hiroyasu Akatsu, Kouichi Ozaki, Shumpei Niida, Ryozo Kuwano, Takeshi Iwatsubo, Akihiro Nakaya, Takeshi Ikeuchi","doi":"10.1186/s13195-024-01514-8","DOIUrl":"https://doi.org/10.1186/s13195-024-01514-8","url":null,"abstract":"<p><b>Correction: Alz Res Therapy 16, 45 (2024)</b></p><p><b>https://doi.org/10.1186/s13195-024-01414-x</b></p><br/><p>Following publication of the original article [1], the authors corrected an error in Fig. 2.</p><figure><figcaption><b data-test=\"figure-caption-text\">Fig. 2</b></figcaption><picture><source srcset=\"//media.springernature.com/lw685/springer-static/image/art%3A10.1186%2Fs13195-024-01514-8/MediaObjects/13195_2024_1514_Fig1_HTML.png?as=webp\" type=\"image/webp\"/><img alt=\"figure 1\" aria-describedby=\"Fig1\" height=\"730\" loading=\"lazy\" src=\"//media.springernature.com/lw685/springer-static/image/art%3A10.1186%2Fs13195-024-01514-8/MediaObjects/13195_2024_1514_Fig1_HTML.png\" width=\"685\"/></picture><p>The PRS.noAPOE and PRS.adjLD correlated with CSF Tau/Aβ42 ratios in the MCI. CSF tTau/Aβ42 (<b>A</b>, <b>C</b>) and pTau/Aβ42 (<b>B</b>, <b>D</b>) ratios by decile of PRS are shown in each diagnostic group. The participants were divided into ten groups based on the PRS.noAPOE, ranging from the lowest group (1st decile) to the highest group (10th decile). CN = cognitively normal; MCI = mild cognitive impairment; ADD = Alzheimer’s disease dementia</p><span>Full size image</span><svg aria-hidden=\"true\" focusable=\"false\" height=\"16\" role=\"img\" width=\"16\"><use xlink:href=\"#icon-eds-i-chevron-right-small\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"></use></svg></figure><p><b>Error:</b> Figs. 2C and D are the same figures as Figs. 2A and B in the published article.</p><p>The corrected figure is given below:</p><p>The original article [1] has been updated.</p><ol data-track-component=\"outbound reference\" data-track-context=\"references section\"><li data-counter=\"1.\"><p>Kikuchi M, Miyashita A, Hara N, et al. Polygenic effects on the risk of Alzheimer’s disease in the Japanese population. Alz Res Therapy. 2024;16:45. https://doi.org/10.1186/s13195-024-01414-x.</p><p>Article CAS Google Scholar </p></li></ol><p>Download references<svg aria-hidden=\"true\" focusable=\"false\" height=\"16\" role=\"img\" width=\"16\"><use xlink:href=\"#icon-eds-i-download-medium\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"></use></svg></p><h3>Authors and Affiliations</h3><ol><li><p>Department of Computational Biology and Medical Sciences, Graduate School of Frontier Science, The University of Tokyo, 6‑2‑3 Kashiwanoha, Kashiwa, Chiba, 277‑0882, Japan</p><p>Masataka Kikuchi & Akihiro Nakaya</p></li><li><p>Department of Medical Informatics, Graduate School of Medicine, Osaka University, Osaka, Japan</p><p>Masataka Kikuchi</p></li><li><p>Department of Molecular Genetics, Brain Research Institute, Niigata University, 1‑757 Asahimachi, Niigata, 951‑8585, Japan</p><p>Akinori Miyashita, Norikazu Hara, Kensaku Kasuga & Takeshi Ikeuchi</p></li><li><p>Brain Bank for Aging Research (Department of Neuropathology), Tokyo Metropolitan Institute of Geriatrics and Gerontology, Tokyo, Japan</p><p>Yuko Saito & Shigeo Murayama</p></li><li><p>Brain Bank for Neurodevelopmental, Neurological and Psyc","PeriodicalId":7516,"journal":{"name":"Alzheimer's Research & Therapy","volume":null,"pages":null},"PeriodicalIF":9.0,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141573204","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-10DOI: 10.1186/s13195-024-01525-5
Aishwarya Pradeep, Sheelakumari Raghavan, Scott A. Przybelski, Gregory M. Preboske, Christopher G. Schwarz, Val J. Lowe, David S. Knopman, Ronald C. Petersen, Clifford R. Jack, Jonathan Graff-Radford, Petrice M. Cogswell, Prashanthi Vemuri
White matter hyperintensities (WMH) are considered hallmark features of cerebral small vessel disease and have recently been linked to Alzheimer’s disease (AD) pathology. Their distinct spatial distributions, namely periventricular versus deep WMH, may differ by underlying age-related and pathobiological processes contributing to cognitive decline. We aimed to identify the spatial patterns of WMH using the 4-scale Fazekas visual assessment and explore their differential association with age, vascular health, AD imaging markers, namely amyloid and tau burden, and cognition. Because our study consisted of scans from GE and Siemens scanners with different resolutions, we also investigated inter-scanner reproducibility and combinability of WMH measurements on imaging. We identified 1144 participants from the Mayo Clinic Study of Aging consisting of a population-based sample from Olmsted County, Minnesota with available structural magnetic resonance imaging (MRI), amyloid, and tau positron emission tomography (PET). WMH distribution patterns were assessed on FLAIR-MRI, both 2D axial and 3D, using Fazekas ratings of periventricular and deep WMH severity. We compared the association of periventricular and deep WMH scales with vascular risk factors, amyloid-PET, and tau-PET standardized uptake value ratio, automated WMH volume, and cognition using Pearson partial correlation after adjusting for age. We also evaluated vendor compatibility and reproducibility of the Fazekas scales using intraclass correlations (ICC). Periventricular and deep WMH measurements showed similar correlations with age, cardiometabolic conditions score (vascular risk), and cognition, (p < 0.001). Both periventricular WMH and deep WMH showed weak associations with amyloidosis (R = 0.07, p = < 0.001), and none with tau burden. We found substantial agreement between data from the two scanners for Fazekas measurements (ICC = 0.82 and 0.74). The automated WMH volume had high discriminating power for identifying participants with Fazekas ≥ 2 (area under curve = 0.97) and showed poor correlation with amyloid and tau PET markers similar to the visual grading. Our study investigated risk factors underlying WMH spatial patterns and their impact on global cognition, with no discernible differences between periventricular and deep WMH. We observed minimal impact of amyloidosis on WMH severity. These findings, coupled with enhanced inter-scanner reproducibility of WMH data, suggest the combinability of inter-scanner data assessed by harmonized protocols in the context of vascular contributions to cognitive impairment and dementia biomarker research.
白质高密度(WMH)被认为是脑小血管疾病的标志性特征,最近又被认为与阿尔茨海默病(AD)病理有关。它们不同的空间分布,即脑室周围 WMH 和深部 WMH,可能因导致认知能力下降的潜在年龄相关过程和病理生物学过程而有所不同。我们的目的是使用 4 级法泽卡斯视觉评估法确定 WMH 的空间模式,并探讨它们与年龄、血管健康、AD 影像标记物(即淀粉样蛋白和 tau 负荷)和认知能力的不同关联。由于我们的研究包括不同分辨率的通用电气和西门子扫描仪的扫描,因此我们还研究了扫描仪之间的可重复性以及成像中 WMH 测量的可组合性。我们从梅奥诊所老龄化研究(Mayo Clinic Study of Aging)中确定了 1144 名参与者,这些参与者是来自明尼苏达州奥姆斯特德县的人口样本,具有结构性磁共振成像 (MRI)、淀粉样蛋白和 tau 正电子发射断层扫描 (PET)。通过FLAIR-MRI的二维轴向和三维成像对WMH分布模式进行评估,并使用Fazekas对脑室周围和深部WMH严重程度进行评级。我们比较了脑室周围和深部 WMH 评级与血管风险因素、淀粉样蛋白-PET 和 tau-PET 标准化摄取值比、自动 WMH 体积以及认知能力之间的关系,在调整年龄后使用了皮尔逊偏相关性。我们还使用类内相关性(ICC)评估了 Fazekas 量表的供应商兼容性和可重复性。脑室周围和深部 WMH 测量值与年龄、心脏代谢状况评分(血管风险)和认知能力显示出相似的相关性(p < 0.001)。脑室周围 WMH 和深部 WMH 与淀粉样变性(R = 0.07,p = < 0.001)有微弱的相关性,但与 tau 负荷无相关性。我们发现两台扫描仪的法泽卡斯测量数据非常一致(ICC = 0.82 和 0.74)。自动 WMH 容量对识别 Fazekas ≥ 2 的参与者有很高的鉴别力(曲线下面积 = 0.97),但与淀粉样蛋白和 tau PET 标记的相关性较差,与视觉分级类似。我们的研究调查了WMH空间模式背后的风险因素及其对整体认知的影响,发现脑室周围和深部WMH之间没有明显差异。我们观察到淀粉样变性对 WMH 严重程度的影响极小。这些发现以及 WMH 数据的扫描仪间可重复性的增强,表明在血管对认知障碍和痴呆生物标志物研究的贡献方面,通过统一方案评估的扫描仪间数据具有可组合性。
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Pub Date : 2024-07-10DOI: 10.1186/s13195-024-01507-7
Lawrence S. Honig, Marwan N. Sabbagh, Christopher H. van Dyck, Reisa A. Sperling, Steven Hersch, Andre Matta, Luigi Giorgi, Michelle Gee, Michio Kanekiyo, David Li, Derk Purcell, Shobha Dhadda, Michael Irizarry, Lynn Kramer
Correction: Alz Res Therapy 16, 105 (2024)
https://doi.org/10.1186/s13195-024-01441-8
Following publication of the original article [1], several typographical errors were observed: