Sunkanmi Folorunsho, Olufunmilola Abraham, Darlingtina K. Esiaka
INTRODUCTION Older Black adults face higher dementia risk, but it is unclear whether social engagement offsets the effects of depression and restless sleep. METHODS We analyzed 1,905 Black adults aged 50+ from the 2016‐2020 Health and Retirement Study (HRS). Linear mixed‐effects models tested how depressive symptoms, restless sleep, and social engagement predicted baseline cognition and cognitive decline. RESULTS Higher depressive symptoms and restless sleep were associated with lower baseline cognition (about 0.2 and 0.5 points lower) and faster decline (β×time ≈ −0.07 and −0.05). Greater social engagement predicted higher baseline cognition (about 0.6 points higher) and slower decline (β×time ≈ 0.08). Social engagement also buffered the negative effects of depressive symptoms and restless sleep on cognitive decline but did not affect their baseline associations. DISCUSSION Social engagement may help older Black adults preserve cognitive health despite depression or poor sleep through accessible community, religious, and volunteer activities. Highlights Depressive symptoms and restless sleep independently predicted poorer baseline cognition and faster cognitive decline among older Black adults, underscoring their distinct and additive roles in late‐life neurocognitive vulnerability. Higher social engagement, measured through volunteering, religious participation, and group involvement was associated with better cognitive functioning and slower decline across three Health and Retirement Study (HRS) waves, even after full adjustment for demographic, socioeconomic, and health covariates. Interaction effects showed that social engagement buffered the adverse cognitive effects of both depressive symptoms and restless sleep, indicating its role as a behavioral resilience factor in aging. Culturally embedded forms of engagement, particularly faith‐based and community‐centered participation, emerged as salient protective pathways that align with existing social practices within Black communities. Findings highlight the potential of community and faith‐based interventions to mitigate disparities in cognitive aging and to promote culturally meaningful strategies for sustaining brain health in older Black adults.
{"title":"Social engagement moderates the relationship between cognitive functioning, depressive symptoms, and restless sleep in older black adults","authors":"Sunkanmi Folorunsho, Olufunmilola Abraham, Darlingtina K. Esiaka","doi":"10.1002/alz.71078","DOIUrl":"https://doi.org/10.1002/alz.71078","url":null,"abstract":"INTRODUCTION Older Black adults face higher dementia risk, but it is unclear whether social engagement offsets the effects of depression and restless sleep. METHODS We analyzed 1,905 Black adults aged 50+ from the 2016‐2020 Health and Retirement Study (HRS). Linear mixed‐effects models tested how depressive symptoms, restless sleep, and social engagement predicted baseline cognition and cognitive decline. RESULTS Higher depressive symptoms and restless sleep were associated with lower baseline cognition (about 0.2 and 0.5 points lower) and faster decline (β×time ≈ −0.07 and −0.05). Greater social engagement predicted higher baseline cognition (about 0.6 points higher) and slower decline (β×time ≈ 0.08). Social engagement also buffered the negative effects of depressive symptoms and restless sleep on cognitive decline but did not affect their baseline associations. DISCUSSION Social engagement may help older Black adults preserve cognitive health despite depression or poor sleep through accessible community, religious, and volunteer activities. Highlights <jats:list list-type=\"bullet\"> <jats:list-item> Depressive symptoms and restless sleep independently predicted poorer baseline cognition and faster cognitive decline among older Black adults, underscoring their distinct and additive roles in late‐life neurocognitive vulnerability. </jats:list-item> <jats:list-item> Higher social engagement, measured through volunteering, religious participation, and group involvement was associated with better cognitive functioning and slower decline across three Health and Retirement Study (HRS) waves, even after full adjustment for demographic, socioeconomic, and health covariates. </jats:list-item> <jats:list-item> Interaction effects showed that social engagement buffered the adverse cognitive effects of both depressive symptoms and restless sleep, indicating its role as a behavioral resilience factor in aging. </jats:list-item> <jats:list-item> Culturally embedded forms of engagement, particularly faith‐based and community‐centered participation, emerged as salient protective pathways that align with existing social practices within Black communities. </jats:list-item> <jats:list-item> Findings highlight the potential of community and faith‐based interventions to mitigate disparities in cognitive aging and to promote culturally meaningful strategies for sustaining brain health in older Black adults. </jats:list-item> </jats:list>","PeriodicalId":7471,"journal":{"name":"Alzheimer's & Dementia","volume":"27 1","pages":""},"PeriodicalIF":14.0,"publicationDate":"2026-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145955153","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}
Christelle Langley, Michela Leocadi, Nicola Z. Hobbs, Mena Farag, Michael J. Murphy, Kate Fayer, Rachael I. Scahill, James B. Rowe, Trevor W. Robbins, Sarah J. Tabrizi, Barbara J. Sahakian
Cognitive impairments are a hallmark of Huntington's disease (HD).
认知障碍是亨廷顿舞蹈病(HD)的标志。
{"title":"Discovery of disrupted sustained attention and altered functional connectivity in far-from-onset Huntington's disease gene-expanded young adults","authors":"Christelle Langley, Michela Leocadi, Nicola Z. Hobbs, Mena Farag, Michael J. Murphy, Kate Fayer, Rachael I. Scahill, James B. Rowe, Trevor W. Robbins, Sarah J. Tabrizi, Barbara J. Sahakian","doi":"10.1002/alz.70944","DOIUrl":"https://doi.org/10.1002/alz.70944","url":null,"abstract":"Cognitive impairments are a hallmark of Huntington's disease (HD).","PeriodicalId":7471,"journal":{"name":"Alzheimer's & Dementia","volume":"1 1","pages":"e70944"},"PeriodicalIF":14.0,"publicationDate":"2026-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145956258","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}
Miriam Rabl, Leonardo Zullo, Jelena Wehrli, Pyry Helkkula, Karolin Hössel, Julius Popp
Background Besides amyloid pathology and tau‐related neurodegeneration, multiple other molecular alterations and pathway dysregulations have been observed in Alzheimer's disease (AD). Omics and multi‐omics approaches may help to better understand this complex pathophysiology of AD, and to discover new biomarkers and targets for interventions. The OMICS‐AD study's main scope is to use multi‐omics data to a) better understand pathophysiological changes of AD and related neuropsychiatric symptoms (NPS), and to b) identify and validate new biomarker candidates for AD and AD‐related outcomes such as cognitive decline or persistent NPS. Here, we describe the study design and participant characteristics. Method Participants with normal cognition (NC), subjective cognitive decline (SCD), mild cognitive impairment (MCI), and mild AD dementia were included at four Swiss memory clinic centres. Comprehensive clinical and neuropsychological data was collected using validated and widely used neuropsychological tests and questionnaires at baseline, and at follow‐up visits at 18 and 36 months from baseline. Paired blood and CSF samples as well as structural MRI data were obtained at baseline AD status was determined according to CSF AD biomarkers of the core AD pathology. Comprehensive omics analysis will be performed and integrated in multi‐omics data analysis to achieve the main scientific aims of the study. Result A total of 434 participants (217 in Lausanne‐1, 138 in Zurich, 56 in Lausanne‐2, and 23 in Bern) were included by the end of 2024. Of these, 200 (46.1%) were cognitively unimpaired (120 were NC and 80 had SCD) and 234 (53.9%) were cognitively impaired (of which 203 had MCI and 31 mild AD dementia). Of the included subjects 50.0% experienced NPS as assessed by the Neuropsychiatric Inventory Questionnaire, the most common symptoms being irritability (19%) and depression (18%). A CSF biomarker profile indicating AD pathology was present in 118 (31.4%) of all subjects (11.5% in NC, 10.3% in SCD, 45.1% in MCI, and 69.0% in mild AD dementia). Conclusion By using this large, multicenter, longitudinal, and well‐characterized brain aging cohort we expect to advance the understanding of the pathomechanisms of AD and AD‐related symptoms, while also enabling the identification of novel diagnostic and prognostic biomarkers.
{"title":"The Swiss OMICS‐AD multimodal biomarker cohort study: design, methods, and cohort characteristics","authors":"Miriam Rabl, Leonardo Zullo, Jelena Wehrli, Pyry Helkkula, Karolin Hössel, Julius Popp","doi":"10.1002/alz70856_106465","DOIUrl":"https://doi.org/10.1002/alz70856_106465","url":null,"abstract":"Background Besides amyloid pathology and tau‐related neurodegeneration, multiple other molecular alterations and pathway dysregulations have been observed in Alzheimer's disease (AD). Omics and multi‐omics approaches may help to better understand this complex pathophysiology of AD, and to discover new biomarkers and targets for interventions. The OMICS‐AD study's main scope is to use multi‐omics data to a) better understand pathophysiological changes of AD and related neuropsychiatric symptoms (NPS), and to b) identify and validate new biomarker candidates for AD and AD‐related outcomes such as cognitive decline or persistent NPS. Here, we describe the study design and participant characteristics. Method Participants with normal cognition (NC), subjective cognitive decline (SCD), mild cognitive impairment (MCI), and mild AD dementia were included at four Swiss memory clinic centres. Comprehensive clinical and neuropsychological data was collected using validated and widely used neuropsychological tests and questionnaires at baseline, and at follow‐up visits at 18 and 36 months from baseline. Paired blood and CSF samples as well as structural MRI data were obtained at baseline AD status was determined according to CSF AD biomarkers of the core AD pathology. Comprehensive omics analysis will be performed and integrated in multi‐omics data analysis to achieve the main scientific aims of the study. Result A total of 434 participants (217 in Lausanne‐1, 138 in Zurich, 56 in Lausanne‐2, and 23 in Bern) were included by the end of 2024. Of these, 200 (46.1%) were cognitively unimpaired (120 were NC and 80 had SCD) and 234 (53.9%) were cognitively impaired (of which 203 had MCI and 31 mild AD dementia). Of the included subjects 50.0% experienced NPS as assessed by the Neuropsychiatric Inventory Questionnaire, the most common symptoms being irritability (19%) and depression (18%). A CSF biomarker profile indicating AD pathology was present in 118 (31.4%) of all subjects (11.5% in NC, 10.3% in SCD, 45.1% in MCI, and 69.0% in mild AD dementia). Conclusion By using this large, multicenter, longitudinal, and well‐characterized brain aging cohort we expect to advance the understanding of the pathomechanisms of AD and AD‐related symptoms, while also enabling the identification of novel diagnostic and prognostic biomarkers.","PeriodicalId":7471,"journal":{"name":"Alzheimer's & Dementia","volume":"46 1","pages":""},"PeriodicalIF":14.0,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145955174","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}
Ning Hua, Olga Minaeva, Douglas Parsons, Juliet A Moncaster, Elijah Demb, Lee E Goldstein
Background Traumatic brain injury (TBI) is a risk factor for the earlier onset of Alzheimer's disease (AD), and the more severe the injury, the greater the risk of developing AD. Given the prevalence of AD in modern society, the possibility that TBI may predispose individuals to develop AD has significant social and economic implications. Therefore, it is important to understand how TBI triggers accelerated AD progression. In this study, we explored how neurotrauma accelerates hippocampal degeneration in a transgenic mouse model of AD using high‐resolution ex vivo diffusion‐MRI. Method Unanesthetized 3xTg‐AD mice ( n = 4) were pretreated with a non‐sedating dose of the analgesic buprenorphine and then subjected to left‐lateral closed‐head impact injury (Figure 1) at 10‐12 weeks of age. At 6‐months post‐TBI, the mice were sacrificed via transcardial perfusion. The harvested brains were submerged in 10% formalin for 24 hours and then stored in Gadavist‐doped PBS (1:400 dilution) until MRI. MRI data were acquired using a 9.4T Bruker scanner and a cryoprobe. Key parameters were TR=300ms, TE=27.7ms, b=3000 (48 directions), and 5000s/mm 2 (80 directions), FOV=14.30x10.66x7.02mm 3 , Matrix=220x164x108, resolution=65mm 3 . Diffusion MRI was analyzed in DSI Studio and NODDI toolbox. T1‐weighted (T1W) images (resolution=32.5 µm 3 ) were also acquired (FLASH) for structural reference. Age‐, gender‐matched 3xTg‐AD mice ( n = 4) without TBI were used as controls. Result Figure 2 shows a representative T1W image and corresponding diffusion‐derived hippocampal maps from a TBI mouse. Compared to the contralateral side, the ipsilateral radiatum of CA1 and CA3 showed decreased quantitative anisotropy (QA) values and increased orientation dispersion index (ODI), the ipsilateral stratum pyramidale showed decreased QA and axial diffusivity (AxD), and the ipsilateral alveus showed decreased AxD. Statistical analysis revealed that the average fractional anisotropy (FA) values in radiatum were lower (CA3, significant; CA1, trend) in the ipsilateral hippocampus compared to the contralateral side of TBI mice or the bilateral sides of control mice (Figure 3). Conclusion Our results demonstrate that the hippocampal CA1/CA3 subregions are more vulnerable to neurotrauma. This finding may help clarify the mechanisms underlying trauma‐accelerated AD and suggest that advanced diffusion‐MRI is a potential tool for the early diagnosis of trauma patients at risk of developing AD.
{"title":"High‐Resolution Diffusion‐MRI Detects Degeneration in Hippocampal Subregions after Neurotrauma in 3xTg‐AD Mice","authors":"Ning Hua, Olga Minaeva, Douglas Parsons, Juliet A Moncaster, Elijah Demb, Lee E Goldstein","doi":"10.1002/alz70856_107226","DOIUrl":"https://doi.org/10.1002/alz70856_107226","url":null,"abstract":"Background Traumatic brain injury (TBI) is a risk factor for the earlier onset of Alzheimer's disease (AD), and the more severe the injury, the greater the risk of developing AD. Given the prevalence of AD in modern society, the possibility that TBI may predispose individuals to develop AD has significant social and economic implications. Therefore, it is important to understand how TBI triggers accelerated AD progression. In this study, we explored how neurotrauma accelerates hippocampal degeneration in a transgenic mouse model of AD using high‐resolution ex vivo diffusion‐MRI. Method Unanesthetized 3xTg‐AD mice ( <jats:italic>n</jats:italic> = 4) were pretreated with a non‐sedating dose of the analgesic buprenorphine and then subjected to left‐lateral closed‐head impact injury (Figure 1) at 10‐12 weeks of age. At 6‐months post‐TBI, the mice were sacrificed via transcardial perfusion. The harvested brains were submerged in 10% formalin for 24 hours and then stored in Gadavist‐doped PBS (1:400 dilution) until MRI. MRI data were acquired using a 9.4T Bruker scanner and a cryoprobe. Key parameters were TR=300ms, TE=27.7ms, b=3000 (48 directions), and 5000s/mm <jats:sup>2</jats:sup> (80 directions), FOV=14.30x10.66x7.02mm <jats:sup>3</jats:sup> , Matrix=220x164x108, resolution=65mm <jats:sup>3</jats:sup> . Diffusion MRI was analyzed in DSI Studio and NODDI toolbox. T1‐weighted (T1W) images (resolution=32.5 µm <jats:sup>3</jats:sup> ) were also acquired (FLASH) for structural reference. Age‐, gender‐matched 3xTg‐AD mice ( <jats:italic>n</jats:italic> = 4) without TBI were used as controls. Result Figure 2 shows a representative T1W image and corresponding diffusion‐derived hippocampal maps from a TBI mouse. Compared to the contralateral side, the ipsilateral radiatum of CA1 and CA3 showed decreased quantitative anisotropy (QA) values and increased orientation dispersion index (ODI), the ipsilateral stratum pyramidale showed decreased QA and axial diffusivity (AxD), and the ipsilateral alveus showed decreased AxD. Statistical analysis revealed that the average fractional anisotropy (FA) values in radiatum were lower (CA3, significant; CA1, trend) in the ipsilateral hippocampus compared to the contralateral side of TBI mice or the bilateral sides of control mice (Figure 3). Conclusion Our results demonstrate that the hippocampal CA1/CA3 subregions are more vulnerable to neurotrauma. This finding may help clarify the mechanisms underlying trauma‐accelerated AD and suggest that advanced diffusion‐MRI is a potential tool for the early diagnosis of trauma patients at risk of developing AD.","PeriodicalId":7471,"journal":{"name":"Alzheimer's & Dementia","volume":"84 1","pages":""},"PeriodicalIF":14.0,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145955177","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}
Tsz Wing Fan, WonHee Kim, Corinne Thomas, Jeremy Tan, Wenjing Jiang, Feng Xuan
Background Alzheimer's disease misdiagnosis in specialized clinics and primary care often delays confirmatory testing and treatment windows for anti‐amyloid therapies. Plasma pTau‐217 assays offer a minimally invasive, scalable alternative for detecting amyloid pathology, yet their cost‐effectiveness in reducing confirmatory testing remains uncertain. Many current assays fail to surpass 90% sensitivity and specificity with a single cutoff, relying instead on a tiered double‐cutoff approach that inflates accuracy by discounting the intermediate zone (>20%). Stricter thresholds further expand this gray zone, leaving a substantial number of patients with delayed treatment decisions. To improve diagnostic accuracy, normalization strategies incorporating non‐phosphorylated tau or amyloid‐beta ratios were explored to mitigate false positives from commodities like CKD beyond pTau‐217 alone. Method We present the SPEAR UltraDetect™ pTau‐217 immunoassay, which employs a unique two‐factor authentication mechanism and a homogenous assay format, allowing free analyte‐binder interaction for maximized specificity. The test is semi‐automated (20 min hands‐on time) and achieves >90% clinical accuracy for amyloid pathology using a single cutoff. The assay requires only 1 µL of diluted plasma per measurement and operates on a wash‐free workflow with qPCR readout. A GAP (Global Alzheimer's Platform) cohort diagnosed with MCI ( n = 67) or mild dementia ( n = 34) with amyloid PET‐confirmed status (44 negative, 57 positive) was evaluated. Assay performance was compared to the MSD assay with Eli Lilly antibody, assessing specificity and fold‐change using single and double‐cutoff strategies. Result The SPEAR pTau‐217 assay demonstrated a 4.9‐fold increase in pTau‐217 levels in PET‐positive cases, nearly doubling the 2.5‐fold seen with the MSD assay with Eli Lilly antibody. Using a single cutoff, SPEAR achieved 91.2% sensitivity, 93.2% specificity, 94.6% PPV, and 89.1% NPV, with 92.1% overall accuracy. When optimizing for ≥95% specificity and sensitivity, the indeterminate range was reduced from 24.8% (MSD Eli Lilly antibody) to 13.9%. The assay exhibited robust inter‐day precision (5% CV) and 99% concordance across runs. Conclusion The SPEAR UltraDetect™ pTau‐217 assay offers improved clinical differentiation of amyloid PET status with > 90% accuracy using a single cutoff. Its minimal sample requirement, wash‐free workflow, and qPCR compatibility make it potentially a scalable, cost‐effective test for determining amyloid pathology of AD.
{"title":"SPEAR UltraDetect™ pTau‐217: A High‐Accuracy, Scalable Plasma Biomarker for PET Confirmed Cognitively Impaired Patients Using a Single Cutoff","authors":"Tsz Wing Fan, WonHee Kim, Corinne Thomas, Jeremy Tan, Wenjing Jiang, Feng Xuan","doi":"10.1002/alz70856_106293","DOIUrl":"https://doi.org/10.1002/alz70856_106293","url":null,"abstract":"Background Alzheimer's disease misdiagnosis in specialized clinics and primary care often delays confirmatory testing and treatment windows for anti‐amyloid therapies. Plasma pTau‐217 assays offer a minimally invasive, scalable alternative for detecting amyloid pathology, yet their cost‐effectiveness in reducing confirmatory testing remains uncertain. Many current assays fail to surpass 90% sensitivity and specificity with a single cutoff, relying instead on a tiered double‐cutoff approach that inflates accuracy by discounting the intermediate zone (>20%). Stricter thresholds further expand this gray zone, leaving a substantial number of patients with delayed treatment decisions. To improve diagnostic accuracy, normalization strategies incorporating non‐phosphorylated tau or amyloid‐beta ratios were explored to mitigate false positives from commodities like CKD beyond pTau‐217 alone. Method We present the SPEAR UltraDetect™ pTau‐217 immunoassay, which employs a unique two‐factor authentication mechanism and a homogenous assay format, allowing free analyte‐binder interaction for maximized specificity. The test is semi‐automated (20 min hands‐on time) and achieves >90% clinical accuracy for amyloid pathology using a single cutoff. The assay requires only 1 µL of diluted plasma per measurement and operates on a wash‐free workflow with qPCR readout. A GAP (Global Alzheimer's Platform) cohort diagnosed with MCI ( <jats:italic>n</jats:italic> = 67) or mild dementia ( <jats:italic>n</jats:italic> = 34) with amyloid PET‐confirmed status (44 negative, 57 positive) was evaluated. Assay performance was compared to the MSD assay with Eli Lilly antibody, assessing specificity and fold‐change using single and double‐cutoff strategies. Result The SPEAR pTau‐217 assay demonstrated a 4.9‐fold increase in pTau‐217 levels in PET‐positive cases, nearly doubling the 2.5‐fold seen with the MSD assay with Eli Lilly antibody. Using a single cutoff, SPEAR achieved 91.2% sensitivity, 93.2% specificity, 94.6% PPV, and 89.1% NPV, with 92.1% overall accuracy. When optimizing for ≥95% specificity and sensitivity, the indeterminate range was reduced from 24.8% (MSD Eli Lilly antibody) to 13.9%. The assay exhibited robust inter‐day precision (5% CV) and 99% concordance across runs. Conclusion The SPEAR UltraDetect™ pTau‐217 assay offers improved clinical differentiation of amyloid PET status with > 90% accuracy using a single cutoff. Its minimal sample requirement, wash‐free workflow, and qPCR compatibility make it potentially a scalable, cost‐effective test for determining amyloid pathology of AD.","PeriodicalId":7471,"journal":{"name":"Alzheimer's & Dementia","volume":"243 1","pages":""},"PeriodicalIF":14.0,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145955176","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}
Agneta K Nordberg, Marco Bucci, Mariola Zapater‐Fajari, Konstantinos Chiotis, Anders Wall, Jonas Eriksson, Gunnar Antoni, Ilaria Pola, Kübra Tan, Wiebke Traichel, Andrea L. Benedet, Nicholas Ashton, Kaj Blennow, Henrik Zetterberg, Nenad Bogdanovic
Background Although the diagnosis of Alzheimer´s disease (AD) dominates in the tertiary memory clinic setting, there are also patients which show no sign for presence of amyloid in brain when assessed for CSF biomarkers after lumbar puncture (LP) or amyloid PET. Since these amyloid negative (A‐) patients can clinically mimic symptomatic AD patients, it is important to obtain further insight into the in vivo pathology of these patients. This study therefore aimed to perform tau PET imaging with the tracer [18F]RO948 and measure plasma biomarkers in patients clinically diagnosed as primary age‐related tauopathy (PART) and limbic dominant TDP‐43 age‐related encephalopathy (LATE) at the clinic for cognitive disorders at Karolinska University Hospital. Method Four patients diagnosed with PART (mean age 76 years) and four with LATE (mean age 79 years) were included in the study. Clinical characteristics and biomarkers are reported in Table 1. The ATN classification for PART patients was A‐T+N+ and for LATE patients A‐T‐N+. On the same day, all participants underwent [18F]RO948 tau PET and MRI scans, and blood sampling for plasma biomarker analysis using the NuLISAseq (Alamarbio) CNS panel. The obtained data was compared with 27 amyloid positive MCI and AD patients from Karolinska as well as 10 cognitive healthy controls. Result Low uptake of [18F]RO948 was observed in PART and LATE brains compared to MCI A+ as shown in Figure 1, including also Radar plots of different brain regions. Box plot data (Figure 2) showed low [18F]RO948 regional uptake except for a higher uptake ( p <0.05) in the putamen in PART and LATE compared to controls. Higher plasma levels of ptau217, ptau181, ptau231 were observed in PART patients ( p <0.05) but not in LATE compared to cognitively healthy controls. Plasma ptau217 levels were however higher in LOAD ( p <0.05) compared to PART. Higher plasma Aß42 values were observed both in LATE and PART compared to LOAD. Conclusion PART and LATE patients exhibit Tau PET uptake similar to that of controls, except in the putamen. Additionally, PART patients show elevated plasma levels of p ‐tau 217, p ‐tau 181, and p ‐tau 231, whereas LATE patients do not.
虽然阿尔茨海默病(AD)的诊断在三级记忆临床环境中占主导地位,但也有患者在腰椎穿刺(LP)或淀粉样蛋白PET后评估脑脊液生物标志物时未显示出脑内淀粉样蛋白存在的迹象。由于这些淀粉样蛋白阴性(A‐)患者可以在临床上模拟症状性AD患者,因此进一步了解这些患者的体内病理非常重要。因此,本研究旨在使用示踪剂[18F]RO948进行tau PET成像,并在卡罗林斯卡大学医院的认知障碍临床诊断为原发性年龄相关脑病(PART)和边缘显性TDP - 43年龄相关脑病(LATE)的患者中测量血浆生物标志物。方法选取4例确诊为PART的患者(平均年龄76岁)和4例确诊为LATE的患者(平均年龄79岁)。临床特征和生物标志物见表1。PART患者的ATN分类为A‐T+N+, LATE患者的ATN分类为A‐T‐N+。同一天,所有参与者进行[18F]RO948 tau PET和MRI扫描,并使用NuLISAseq (Alamarbio) CNS面板采血进行血浆生物标志物分析。将获得的数据与来自卡罗林斯卡的27名淀粉样蛋白阳性MCI和AD患者以及10名认知健康对照进行比较。结果与MCI A+相比,PART和LATE脑对[18F]RO948的摄取较低,如图1所示,包括不同脑区的Radar图。箱形图数据(图2)显示,与对照组相比,局部区域RO948摄取较低[18F],但部分和晚期组壳核的RO948摄取较高(p <0.05)。与认知健康对照组相比,PART患者血浆中ptau217、ptau181、ptau231水平升高(p <0.05),而LATE患者血浆中ptau217、ptau181、ptau231水平升高。然而,与PART相比,LOAD组血浆ptau217水平更高(p <0.05)。LATE和PART组血浆Aß42值均高于LOAD组。结论部分和晚期患者的Tau PET摄取与对照组相似,但壳核除外。此外,PART患者显示p - tau 217、p - tau 181和p - tau 231的血浆水平升高,而LATE患者则没有。
{"title":"[18F] RO948 Tau PET imaging and plasma biomarkers in PART and LATE patients compared with sporadic Alzheimer's Disease","authors":"Agneta K Nordberg, Marco Bucci, Mariola Zapater‐Fajari, Konstantinos Chiotis, Anders Wall, Jonas Eriksson, Gunnar Antoni, Ilaria Pola, Kübra Tan, Wiebke Traichel, Andrea L. Benedet, Nicholas Ashton, Kaj Blennow, Henrik Zetterberg, Nenad Bogdanovic","doi":"10.1002/alz70856_107395","DOIUrl":"https://doi.org/10.1002/alz70856_107395","url":null,"abstract":"Background Although the diagnosis of Alzheimer´s disease (AD) dominates in the tertiary memory clinic setting, there are also patients which show no sign for presence of amyloid in brain when assessed for CSF biomarkers after lumbar puncture (LP) or amyloid PET. Since these amyloid negative (A‐) patients can clinically mimic symptomatic AD patients, it is important to obtain further insight into the in vivo pathology of these patients. This study therefore aimed to perform tau PET imaging with the tracer [18F]RO948 and measure plasma biomarkers in patients clinically diagnosed as primary age‐related tauopathy (PART) and limbic dominant TDP‐43 age‐related encephalopathy (LATE) at the clinic for cognitive disorders at Karolinska University Hospital. Method Four patients diagnosed with PART (mean age 76 years) and four with LATE (mean age 79 years) were included in the study. Clinical characteristics and biomarkers are reported in Table 1. The ATN classification for PART patients was A‐T+N+ and for LATE patients A‐T‐N+. On the same day, all participants underwent [18F]RO948 tau PET and MRI scans, and blood sampling for plasma biomarker analysis using the NuLISAseq (Alamarbio) CNS panel. The obtained data was compared with 27 amyloid positive MCI and AD patients from Karolinska as well as 10 cognitive healthy controls. Result Low uptake of [18F]RO948 was observed in PART and LATE brains compared to MCI A+ as shown in Figure 1, including also Radar plots of different brain regions. Box plot data (Figure 2) showed low [18F]RO948 regional uptake except for a higher uptake ( <jats:italic>p</jats:italic> <0.05) in the putamen in PART and LATE compared to controls. Higher plasma levels of ptau217, ptau181, ptau231 were observed in PART patients ( <jats:italic>p</jats:italic> <0.05) but not in LATE compared to cognitively healthy controls. Plasma ptau217 levels were however higher in LOAD ( <jats:italic>p</jats:italic> <0.05) compared to PART. Higher plasma Aß42 values were observed both in LATE and PART compared to LOAD. Conclusion PART and LATE patients exhibit Tau PET uptake similar to that of controls, except in the putamen. Additionally, PART patients show elevated plasma levels of <jats:italic>p</jats:italic> ‐tau 217, <jats:italic>p</jats:italic> ‐tau 181, and <jats:italic>p</jats:italic> ‐tau 231, whereas LATE patients do not.","PeriodicalId":7471,"journal":{"name":"Alzheimer's & Dementia","volume":"265 1","pages":""},"PeriodicalIF":14.0,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145955160","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}
Julie E. Oomens, Theresa M. Harrison, Jeffrey L. Dage, Kristen A. Russ, Henrik Zetterberg, William J. Jagust, Tatiana M. Foroud, Sarah Biber, Elizabeth C. Mormino, Sterling C Johnson
Background Data accessibility and interoperability across the U.S. Alzheimer's Disease Research Centers (ADRCs) provides necessary resources and data access to enable novel hypothesis testing without additional data collection and will allow end users to rapidly advance our understanding of multiple pathologies or multiple chronic conditions on disease progression within Alzheimer's disease and related diseases. The aim of the current study was to integrate plasma data from the National Centralized Repository for Alzheimer's Disease and Related Dementia's (NCRAD) with ADRC neuroimaging data from the SCAN initiative and National Alzheimer's Coordinating Center Uniform Data Set (NACC UDS) demographic data, all publicly available through the NACC Data Platform and Data Front Door. We provide sample descriptives and present the results of initial data explorations. Method The NACC and NCRAD data request procedures were completed to gain access to the data. We focused on the subset of participants for whom Quanterix Simoa HD‐X Alzpath plasma pTau217 data was available (NCRAD). Amyloid pathology was defined based on centiloid values (cut‐off >= 20; SCAN initiative). Demographic information was available for all participants (NACC UDS). We integrated data using the NACC identifier and visit age where available. We used Spearman correlations to assess the association between plasma pTau217 and centiloid values and we used ROC analyses to assess amyloid classification performance. Result Plasma pTau217 data was available for 927 participants (sample descriptives in Table 1). Figure 1 shows the distribution of plasma pTau217 levels across diagnostic groups. In the subset of participants for whom amyloid PET was available ( n = 170, Table 1), the Spearman correlation between plasma pTau217 levels and centiloid values was 0.59. Quanterix pTau217 accurately classified amyloid status with a ROC AUC of .92 (95%CI 0.89–0.97; accuracy 85%; Figure 2). Tau PET was available for 135 participants with plasma pTau217 data and 114 participants with both plasma pTau217 and amyloid PET data. Conclusion Combining the SCAN PET and NCRAD plasma results in a promising resource, already with 36% demographic diversity. Sample sizes will increase through ongoing efforts as part of the SCAN initiative and the ADRC Consortium for Clarity in ADRD Research Through Imaging (CLARiTI).
美国阿尔茨海默病研究中心(adrc)的数据可访问性和互操作性提供了必要的资源和数据访问,使新的假设检验无需额外的数据收集,并将允许最终用户快速推进我们对阿尔茨海默病和相关疾病的多种病理或多种慢性疾病进展的理解。当前研究的目的是将来自国家阿尔茨海默病和相关痴呆症中央存储库(NCRAD)的血浆数据与来自SCAN计划和国家阿尔茨海默病协调中心统一数据集(NACC UDS)人口统计数据的ADRC神经成像数据整合起来,所有这些数据都可以通过NACC数据平台和数据前门公开获得。我们提供了样本描述并展示了初始数据探索的结果。方法完成NACC和NCRAD数据请求程序,获取数据。我们重点研究了Quanterix Simoa HD - X Alzpath血浆pTau217数据可用的参与者子集(NCRAD)。淀粉样蛋白病理根据厘体值定义(cut - off >= 20; SCAN初始值)。所有参与者的人口统计信息均可获得(NACC UDS)。在可用的情况下,我们使用NACC标识符和访问年龄来整合数据。我们使用Spearman相关性来评估血浆pTau217与centiloid值之间的关系,并使用ROC分析来评估淀粉样蛋白分类的表现。结果927名参与者获得了血浆pTau217数据(样本描述见表1)。图1显示了诊断组血浆pTau217水平的分布。在可获得淀粉样蛋白PET的参与者子集中(n = 170,表1),血浆pTau217水平与centiloid值之间的Spearman相关性为0.59。Quanterix pTau217准确分类淀粉样蛋白状态,ROC AUC为。92 (95%CI 0.89-0.97;准确率85%;图2)。Tau PET可用于135名血浆pTau217数据的参与者和114名血浆pTau217和淀粉样蛋白PET数据的参与者。结论结合SCAN PET和NCRAD血浆是一个很有前途的资源,已经有36%的人口多样性。通过SCAN计划和通过成像研究ADRD清晰度的ADRC联盟(CLARiTI)的持续努力,样本量将增加。
{"title":"Integration of plasma and imaging data within the ADRC biofluid and imaging ecosystems","authors":"Julie E. Oomens, Theresa M. Harrison, Jeffrey L. Dage, Kristen A. Russ, Henrik Zetterberg, William J. Jagust, Tatiana M. Foroud, Sarah Biber, Elizabeth C. Mormino, Sterling C Johnson","doi":"10.1002/alz70856_104199","DOIUrl":"https://doi.org/10.1002/alz70856_104199","url":null,"abstract":"Background Data accessibility and interoperability across the U.S. Alzheimer's Disease Research Centers (ADRCs) provides necessary resources and data access to enable novel hypothesis testing without additional data collection and will allow end users to rapidly advance our understanding of multiple pathologies or multiple chronic conditions on disease progression within Alzheimer's disease and related diseases. The aim of the current study was to integrate plasma data from the National Centralized Repository for Alzheimer's Disease and Related Dementia's (NCRAD) with ADRC neuroimaging data from the SCAN initiative and National Alzheimer's Coordinating Center Uniform Data Set (NACC UDS) demographic data, all publicly available through the NACC Data Platform and Data Front Door. We provide sample descriptives and present the results of initial data explorations. Method The NACC and NCRAD data request procedures were completed to gain access to the data. We focused on the subset of participants for whom Quanterix Simoa HD‐X Alzpath plasma pTau217 data was available (NCRAD). Amyloid pathology was defined based on centiloid values (cut‐off >= 20; SCAN initiative). Demographic information was available for all participants (NACC UDS). We integrated data using the NACC identifier and visit age where available. We used Spearman correlations to assess the association between plasma pTau217 and centiloid values and we used ROC analyses to assess amyloid classification performance. Result Plasma pTau217 data was available for 927 participants (sample descriptives in Table 1). Figure 1 shows the distribution of plasma pTau217 levels across diagnostic groups. In the subset of participants for whom amyloid PET was available ( <jats:italic>n</jats:italic> = 170, Table 1), the Spearman correlation between plasma pTau217 levels and centiloid values was 0.59. Quanterix pTau217 accurately classified amyloid status with a ROC AUC of .92 (95%CI 0.89–0.97; accuracy 85%; Figure 2). Tau PET was available for 135 participants with plasma pTau217 data and 114 participants with both plasma pTau217 and amyloid PET data. Conclusion Combining the SCAN PET and NCRAD plasma results in a promising resource, already with 36% demographic diversity. Sample sizes will increase through ongoing efforts as part of the SCAN initiative and the ADRC Consortium for Clarity in ADRD Research Through Imaging (CLARiTI).","PeriodicalId":7471,"journal":{"name":"Alzheimer's & Dementia","volume":"15 1","pages":""},"PeriodicalIF":14.0,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145955172","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}
Simona Merlini, Roberta Diaz Brinton, Francesca Vitali
Background Age, sex, and APOE4 genotype are key non‐modifiable risk factors for Alzheimer's disease (AD), with APOE4 significantly increasing risk, especially in women. The APOE‐sex (APOE‐SX) interaction underscores the need for personalized AD treatments. We analyzed plasma blood proteomic data from the UK Biobank to identify sex and APOE‐specific protein and pathway signatures. Method Plasma samples were analyzed for AD‐diagnosed participants and controls. After propensity‐score matching on age and education level, 199 AD cases (133 F) and 199 controls (104 F) from APOE3/3, 3/4 and 4/4 individuals were retained. Protein levels were normalized using z‐scores and a two‐step approach of within‐batch and across‐batches intensity normalization. For each APOE‐SX condition, differentially expressed proteins (DEPs, p ‐value < 0.05) between AD and controls were identified using linear regression with empirical Bayes estimators to calibrate per‐protein variance using information from all proteins. Gene Set Enrichment Analysis (GSEA) was subsequently conducted using Gene Ontology Biological Processes (GO‐BP) accounting for DEP fold change. Redundant GO‐BP terms (adjusted p ‐values<0.05) were removed (GO‐BP semantic similarity cut‐off of 0.6). Comparison analyses were then conducted to identify common and unique DEPs and enriched GO‐BPs across APOE‐SX conditions. To achieve this, heatmaps were generated to visualize the overlap and differences in protein expression and pathway enrichment across groups, enabling systematic between‐group comparisons. Result Differential expression analysis identified 95 common DEPs in females and 7 DEPs among APOE4 carriers, while no GO‐BPs were shared across all sex‐genotype subgroups. Female APOE4 carriers exhibited the highest number of DEPs (F4/4: n = 759; F3/4: n = 698) while male APOE3 carriers had the lowest ( n = 102), but the number of enriched GO‐BPs was comparable to across APOE‐SX conditions, suggesting that a greater number of dysregulated proteins are involved in a limited set of biological processes. GO‐BPs were predominantly downregulated in females and upregulated in males. Notably, humoral immune response mediated by circulating immunoglobulin was uniquely upregulated in F4/4, whereas interferon‐gamma response was a shared pathway in males across APOE genotypes. Conclusion These findings suggest APOE‐SX specific proteomic signatures and altered biological processes in AD, highlight strong sex differences in AD plasma proteomics and support the development of personalized therapeutics considering APOE‐SX interaction.
{"title":"Large‐scale proteomics analysis of Alzheimer's Disease plasma blood reveals sex and APOE specific signatures","authors":"Simona Merlini, Roberta Diaz Brinton, Francesca Vitali","doi":"10.1002/alz70856_106951","DOIUrl":"https://doi.org/10.1002/alz70856_106951","url":null,"abstract":"Background Age, sex, and APOE4 genotype are key non‐modifiable risk factors for Alzheimer's disease (AD), with APOE4 significantly increasing risk, especially in women. The APOE‐sex (APOE‐SX) interaction underscores the need for personalized AD treatments. We analyzed plasma blood proteomic data from the UK Biobank to identify sex and APOE‐specific protein and pathway signatures. Method Plasma samples were analyzed for AD‐diagnosed participants and controls. After propensity‐score matching on age and education level, 199 AD cases (133 F) and 199 controls (104 F) from APOE3/3, 3/4 and 4/4 individuals were retained. Protein levels were normalized using z‐scores and a two‐step approach of within‐batch and across‐batches intensity normalization. For each APOE‐SX condition, differentially expressed proteins (DEPs, <jats:italic>p</jats:italic> ‐value < 0.05) between AD and controls were identified using linear regression with empirical Bayes estimators to calibrate per‐protein variance using information from all proteins. Gene Set Enrichment Analysis (GSEA) was subsequently conducted using Gene Ontology Biological Processes (GO‐BP) accounting for DEP fold change. Redundant GO‐BP terms (adjusted <jats:italic>p</jats:italic> ‐values<0.05) were removed (GO‐BP semantic similarity cut‐off of 0.6). Comparison analyses were then conducted to identify common and unique DEPs and enriched GO‐BPs across APOE‐SX conditions. To achieve this, heatmaps were generated to visualize the overlap and differences in protein expression and pathway enrichment across groups, enabling systematic between‐group comparisons. Result Differential expression analysis identified 95 common DEPs in females and 7 DEPs among APOE4 carriers, while no GO‐BPs were shared across all sex‐genotype subgroups. Female APOE4 carriers exhibited the highest number of DEPs (F4/4: <jats:italic>n</jats:italic> = 759; F3/4: <jats:italic>n</jats:italic> = 698) while male APOE3 carriers had the lowest ( <jats:italic>n</jats:italic> = 102), but the number of enriched GO‐BPs was comparable to across APOE‐SX conditions, suggesting that a greater number of dysregulated proteins are involved in a limited set of biological processes. GO‐BPs were predominantly downregulated in females and upregulated in males. Notably, humoral immune response mediated by circulating immunoglobulin was uniquely upregulated in F4/4, whereas interferon‐gamma response was a shared pathway in males across APOE genotypes. Conclusion These findings suggest APOE‐SX specific proteomic signatures and altered biological processes in AD, highlight strong sex differences in AD plasma proteomics and support the development of personalized therapeutics considering APOE‐SX interaction.","PeriodicalId":7471,"journal":{"name":"Alzheimer's & Dementia","volume":"31 1","pages":""},"PeriodicalIF":14.0,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145955158","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}
José Enrique Arriola-Infante, Alejandra O. Morcillo-Nieto, Maria Franquesa-Mullerat, Sara E Zsadanyi, Lídia Vaqué-Alcázar, Mateus Rozalem Aranha, José Allende Parra, Zili Zhao, Javier Arranz, Íñigo Rodríguez-Baz, Lucía Maure-Blesa, Laura Videla, Isabel Barroeta, Laura Del Hoyo, Bessy Benejam, Susana Fernandez, Aida Sanjuan Hernandez, Sandra Giménez, Daniel Alcolea, Olivia Belbin, Albert Flotats, Valle Camacho, Alberto Lleó, Maria Carmona-Iragui, Juan Fortea, Alexandre Bejanin