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  • 1
    In: Alzheimer's & Dementia, Wiley, Vol. 17, No. S1 ( 2021-12)
    Abstract: 18‐kDa translocator protein position‐emission‐tomography (TSPO‐PET) imaging emerged for in vivo assessment of neuroinflammation in preclinical and clinical research of Alzheimer’s disease (AD). Higher TSPO‐PET binding as a surrogate of microglial activation in females has been reported for cognitively normal humans (HC), but sex effects have not yet been systematically evaluated in patients with AD. Thus, we aimed to investigate the impact of sex and the body mass index (BMI) on the relationship between β‐amyloid‐accumulation and microglial activation in AD. Method Fifty‐six patients with AD (34 female; BMI 24.9±4.0; age 71.1±7.7 years; 100% Aβ‐positive; MMSE 20.9±5.5) and 13 Aβ‐negative HC (7 female; BMI 24.2±3.3; age 70.6±7.5 years; MMSE 29.0±1.0) underwent TSPO‐PET ( 18 F‐GE‐180) and β‐amyloid‐PET imaging (Aβ‐PET; 18 F‐flutemetamol). The brain was parcellated into 218 cortical regions and standardized‐uptake‐value‐ratios (SUVr, cerebellar reference) were calculated for TSPO‐ and Aβ‐PET. Per AD patient, the averaged regional increase of TSPO‐ and Aβ‐PET SUVr (z‐score) was calculated versus HC. We used the function between regional Aβ‐PET and TSPO‐PET SUVr to determine the Aβ‐plaque dependent microglial response (slope) and the Aβ‐plaque independent microglial response (intercept) at the single patient level (Figure 1). All PET read‐outs were compared between sexes and we tested for a moderation effect of sex on the association between BMI and microglial activation, controlled for age. Result In AD the mean cortical TSPO‐PET z‐score of females (+0.69±0.72) was higher when compared to males (+0.30±0.73; p=0.048; Figure 2), whereas Aβ‐PET z‐scores were similar (female: +4.56±1.76; male: +4.44±2.08). The Aβ‐plaque independent microglial response was stronger in females with AD (intercept: +0.35±0.63) when compared to males (‐0.23±0.71; p=0.0024) whereas the Aβ‐plaque dependent microglial response was indifferent between sexes (Figure 2). BMI and the Aβ‐plaque independent microglial response were significantly associated in females (β=0.35, p=0.043) but not in males (β=‐0.02, p=0.940; BMI*sex interaction: F (3,52) =4.77, p=0.0052; Figure 3). Conclusion Females with AD comprise a higher Aβ‐plaque independent microglia response, whereas the microglial response to fibrillar Aβ is indifferent between sexes. BMI is positively associated with the Aβ‐plaque independent microglia response in females with AD but not in males, indicating that sex and BMI need to be considered when studying neuroinflammation in AD.
    Type of Medium: Online Resource
    ISSN: 1552-5260 , 1552-5279
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2021
    detail.hit.zdb_id: 2201940-6
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  • 2
    In: Alzheimer's & Dementia, Wiley, Vol. 17, No. S1 ( 2021-12)
    Abstract: β‐amyloid PET (Aβ‐PET) is an important tool for quantification of amyloidosis in the brain of suspected Alzheimer’s disease (AD) patients and transgenic AD mouse models. Despite the excellent correlation of Aβ‐PET with gold standard immunohistochemical assessments, the relative contributions of fibrillar and non‐fibrillar Aβ components to the in vivo Aβ‐PET signal remain unclear. Thus, we obtained two murine cerebral amyloidosis models that present with distinct Aβ plaque compositions and performed regression analysis between immunohistochemistry and Aβ PET to determine the biochemical contributions to Aβ‐PET signal in vivo . Method We investigated groups of App NL‐G‐F and APPPS1 mice three, six and 12 months of age by longitudinal [ 18 F]‐florbetaben Aβ‐PET and with immunohistochemical analysis of the fibrillar and total Aβ burdens. We then applied group level inter‐modality regression models using age and genotype matched sets of fibrillar/ non‐fibrillar Aβ data (predictors) and Aβ‐PET results (outcome) for both transgenic models. An independent group of double‐hit APPPS1 mice with dysfunctional microglia due to knock‐out of triggering receptor expression on myeloid cells 2 (Trem2 ‐/‐ ) served for validation and evaluation of translational impact. Result Neither fibrillar nor non‐fibrillar Aβ content alone sufficed to explain the Aβ‐PET findings in either transgenic AD model (Figure 1). A regression model compiling fibrillar and non‐fibrillar Aβ together with the estimate of individual heterogeneity and age at scanning could explain a 93% of variance of the Aβ‐PET signal (p 〈 0.001; Figure 2). Fibrillar Aβ burden had a 16‐fold higher contribution to the Aβ‐PET signal when compared to non‐fibrillar Aβ. However, given the relatively greater abundance of non‐fibrillar Aβ, we estimate that non‐fibrillar Aβ produced 79±25% of the net in vivo Aβ‐PET signal in App NL‐G‐F mice, and 25±12% in the APPPS1 mice. Corresponding results in groups of APPPS1/Trem2 ‐/‐ and APPPS1/Trem2 +/+ mice validated the calculated regression factors and revealed that the altered fibrillarity due to Trem2 knockout impacts the Aβ‐PET signal (Figure 3). Conclusion Taken together, the in vivo Aβ‐PET signal derives from the composite of fibrillar and non‐fibrillar Aβ plaque components. While fibrillar Aβ has inherently higher PET tracer binding, the greater abundance of non‐fibrillar Aβ plaque in AD model mice contributes importantly to the PET signal.
    Type of Medium: Online Resource
    ISSN: 1552-5260 , 1552-5279
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2021
    detail.hit.zdb_id: 2201940-6
    Location Call Number Limitation Availability
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  • 3
    In: Alzheimer's & Dementia, Wiley, Vol. 18, No. S6 ( 2022-12)
    Abstract: 4‐repeat (4R) tauopathies are neurodegenerative diseases characterized by cerebral accumulation of 4R tau pathology. The most prominent 4R‐tauopathies are progressive‐supranuclear‐palsy (PSP) and corticobasal‐syndrome (CBS) characterized by tau accumulation in subcortical nuclei as well as cortical neuronal dysfunction, as shown by PET‐assessed hypoperfusion and glucose hypometabolism. Yet, there is a spatial mismatch between subcortical tau deposition patterns and cortical neuronal dysfunction and it is unclear how these two pathological brain changes are interrelated. Here, we hypothesized that subcortical tau pathology induces diaschisis‐like neuronal dysfunction in functionally connected cortical regions. Method We included 47 patients with clinically diagnosed PSP or CBS who underwent structural MRI and 18 F‐PI‐2620 tau‐PET. PI‐2620 PET was recorded using a dynamic one‐shot, two‐stop acquisition protocol, to determine an early 0.5‐2.5min post‐tracer‐injection perfusion window for assessing cortical neuroinjury in 200 cortical ROIs of the Schaefer atlas, as well as a 20‐40min post‐tracer‐injection window to determine 4R‐tau load in 32 subcortical ROIs of the TIAN atlas. We determined tau epicenters as 10% of subcortical ROIs with highest tau‐PET, and assessed the connectivity of tau epicenters to cortical ROIs using an age‐matched 3T resting‐state fMRI template derived from 69 healthy elderly. Using linear regression, we assessed whether i) higher subcortical tau‐PET was associated with overall reduced cortical perfusion and ii) whether cortical hypoperfusion was observed preferentially in regions closely connected to subcortical tau epicenters. Result As hypothesized, higher subcortical tau‐PET was associated with lower cortical perfusion (R=‐0,37, p‐value: 〈 0,011, Fig.1). Using group‐average tau‐PET and perfusion‐PET, we found that the seed‐based connectivity pattern of subcortical tau epicenters predicted cortical perfusion patterns, where cortical regions that were more closely connected to the tau epicenter showed stronger hypoperfusion (R=‐0,16, p‐value: 〈 0,023, Fig.2A). This association was also observed on the subject level, as indicated by overall negative b‐values of the association between tau epicenter connectivity and cortical perfusion (one‐sample t‐test: t‐value: ‐3,45, p‐value: 〈 0,001, Fig.3). Conclusion In 4R‐tauopathies subcortical tau‐accumulation is associated with remote neuronal dysfunction in functionally connected cortical regions. This suggests that subcortical tau pathology may induce diaschisis‐like cortical dysfunction, which may contribute to clinical disease manifestation and clinical heterogeneity.
    Type of Medium: Online Resource
    ISSN: 1552-5260 , 1552-5279
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2022
    detail.hit.zdb_id: 2201940-6
    Location Call Number Limitation Availability
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  • 4
    In: Alzheimer's & Dementia, Wiley, Vol. 18, No. S1 ( 2022-12)
    Abstract: 4‐repeat (4R) tauopathies are neurodegenerative diseases characterized by cerebral accumulation of 4R tau pathology. The most prominent 4R‐tauopathies are progressive‐supranuclear‐palsy (PSP) and corticobasal‐syndrome (CBS) characterized by tau accumulation in subcortical nuclei as well as cortical neuronal dysfunction, as shown by PET‐assessed hypoperfusion and glucose hypometabolism. Yet, there is a spatial mismatch between subcortical tau deposition patterns and cortical neuronal dysfunction and it is unclear how these two pathological brain changes are interrelated. Here, we hypothesized that subcortical tau pathology induces diaschisis‐like neuronal dysfunction in functionally connected cortical regions. Method We included 47 patients with clinically diagnosed PSP or CBS who underwent structural MRI and 18 F‐PI‐2620 tau‐PET. PI‐2620 PET was recorded using a dynamic one‐shot, two‐stop acquisition protocol, to determine an early 0.5‐2.5min post‐tracer‐injection perfusion window for assessing cortical neuroinjury in 200 cortical ROIs of the Schaefer atlas, as well as a 20‐40min post‐tracer‐injection window to determine 4R‐tau load in 32 subcortical ROIs of the TIAN atlas. We determined tau epicenters as 10% of subcortical ROIs with highest tau‐PET, and assessed the connectivity of tau epicenters to cortical ROIs using an age‐matched 3T resting‐state fMRI template derived from 69 healthy elderly. Using linear regression, we assessed whether i) higher subcortical tau‐PET was associated with overall reduced cortical perfusion and ii) whether cortical hypoperfusion was observed preferentially in regions closely connected to subcortical tau epicenters. Result As hypothesized, higher subcortical tau‐PET was associated with lower cortical perfusion (R=‐0,37, p‐value: 〈 0,011, Fig.1). Using group‐average tau‐PET and perfusion‐PET, we found that the seed‐based connectivity pattern of subcortical tau epicenters predicted cortical perfusion patterns, where cortical regions that were more closely connected to the tau epicenter showed stronger hypoperfusion (R=‐0,16, p‐value: 〈 0,023, Fig.2A). This association was also observed on the subject level, as indicated by overall negative b‐values of the association between tau epicenter connectivity and cortical perfusion (one‐sample t‐test: t‐value: ‐3,45, p‐value: 〈 0,001, Fig.3). Conclusion In 4R‐tauopathies subcortical tau‐accumulation is associated with remote neuronal dysfunction in functionally connected cortical regions. This suggests that subcortical tau pathology may induce diaschisis‐like cortical dysfunction, which may contribute to clinical disease manifestation and clinical heterogeneity.
    Type of Medium: Online Resource
    ISSN: 1552-5260 , 1552-5279
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2022
    detail.hit.zdb_id: 2201940-6
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
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