Biology subjects

Doering, E.

Publications and source records attributed to Doering, E..

4 recordsLinked to original sources

bioRxiv2024

Regional associations of sleep architecture and Alzheimer's disease pathology

ObjectiveRecent evidence suggests that disturbances of sleep architecture are linked to Alzheimers disease (AD) pathology. Here, we assessed the association between sleep architecture and regional amyloid and tau pathology employing a portable sleep-monitoring device in addition to PET imaging. Methods18 cognitively normal adults (CN; M(Age) = 64.06 (8.63), Sex (M/F) =6/12) and 18 patients with MCI/early AD (M(Age) = 67.33 (8.25), Sex (M/F) =9/9) were included from the "Tau Propagation Over Time" (T-POT) study. All subjects underwent amyloid ([11C]-PiB) and tau ([18F]-AV1451) PET imaging. PET images were normalized to MNI-space and intensity standardized to the whole cerebellum ([11C]-PiB) or the inferior cerebellum ([18F]-AV1451). Sleep monitoring was performed at home using the portable "Dreem" EEG-headband (Beacon Biosignal), which is a reliable and comfortable wireless alternative to the gold-standard polysomnography (PSG). Sleep recordings were performed within six months of the PET acquisitions. At least, one sufficient night had to be acquired, which was used to assess the sleep macrostructure for each individual. Total duration of sleep phases per minutes (i.e. REM, N1, N2, N3) and total sleep time were extracted. In a first step, a linear mixed model (LMM) was used to compare the groups in terms of duration of the different sleep stages across the nightly recordings. Given the results of this comparison, mean N1 and N3 duration were subsequently correlated with regional amyloid and tau pathology SUVRs of 34 cortical regions using Spearmans correlation. The reported results are based on one-tailed tests. All analyses were corrected for age. ResultsPatients with MCI/AD showed reduced N3 duration (p = .007) compared to the CN group. A trend was observed indicating that patients with MCI/AD exhibited longer N1 durations (p = .094); however, this difference did not reach statistical significance. Shorter N3 duration was associated with higher regional amyloid load in the paracentral lobe and the posterior cingulate gyrus, whereas longer N1 duration was linked to higher amyloid pathology in several regions, including the medial temporal lobe, cingulate cortex and the occipital lobe. Moreover, associations were observed between longer N1 duration and greater tau burden in regions comprising the temporal lobe, cingulate cortex, and medial-frontal areas of the brain. ConclusionDifferences in sleep architecture between healthy controls and MCI/AD may arise from regionally-specific accumulation patterns of AD pathologies. Although it remains unknown whether disruptions in sleep architecture are a cause or a consequence, a complex relationship between AD-aggregation pathology in specific brain regions and the different phases of sleep appears to emerge.

neuroscience↗

bioRxiv2024

The speed limits for tau pathology progression in Alzheimer's disease

ObjectiveTo examine interactive effects of modifiable factors, genetic determinants and load-dependent pathology effects on tau pathology progression. MethodsData of 162 amyloid-positive individuals were included, for whom longitudinal [18F]AV-1451-PET scans, baseline information on global amyloid load, ApoE4 status, body-mass-index (BMI), hypertension, education, neuropsychiatric symptom severity and demographic information were available in ADNI. All [18F]AV-1451 PETs were intensity-standardized (reference: inferior cerebellum), z-transformed (control sample: 147 amyloid-negative subjects) and subsequently thresholded (z-score > 1.96) and converted to volume-maps. Based on these volume-maps, tau-changes over time were assessed in terms of 1) tau-speed (i.e. newly affected volume at follow-up), and 2) tau-level-rise (i.e. tau increase in previously affected volume). These two measures were entered as dependent variables in separate linear mixed effects models including four baseline risk factors (BMI, education, hypertension, neuropsychiatric symptom severity), baseline amyloid, tau-volume or tau burden, ApoE4 status, clinical stage, sex, and age as predictors. Next, we tested the interactive effects between baseline amyloid or tau burden with the four modifiable factors on either tau-speed or tau-level-rise, respectively. ResultsFaster tau-speed was linked to higher BMI, female sex, ApoE4-status, and baseline tau-volume. The effect of baseline tau-volume on tau-speed was driven by greater global amyloid burden. In terms of tau-level-rise, we observed that lower hypertension and BMI were linked to a slower increase in tau burden. A load-dependent effect of baseline amyloid and tau burden was found. Higher amyloid and BMI as well as lower education and higher tau burden were linked to greater tau-level-rise. ConclusionEducation, BMI and hypertension differentially influence tau speed and level rise by its interaction with initial pathological burden. Timely modification of these factors may overall slow taus progression.

neuroscience↗

bioRxiv2024

The long distance relationship of regional amyloid burden and tau pathology spread

IntroductionConsistent with the amyloid-cascade-hypothesis, we tested whether regional amyloid burden is associated with tau pathology increases in spatially independent brain regions and whether functional connectivity serves as a mediator bridging the observed spatial gap between these pathologies. MethodsData of 98 amyloid-positive and 35 amyloid-negative subjects with baseline amyloid (18F-AV45) and longitudinal tau (18F-AV1451) PET were selected from ADNI. Annual tau change maps were computed. All images were z-transformed using the amyloid-negative subjects as reference. Z-maps of baseline amyloid and annual tau change were submitted to a parallel independent component analysis in GIFT, yielding six component pairs linking spatial patterns of baseline amyloid to longitudinal tau increase. Next, we used the region of maximum coefficient per component as seeds for functional connectivity analyses in a healthy control dataset. This resulted in six pairs of amyloid and tau seed-based networks (SBN). The spatial overlap between these SBNs and components (amyloid OR tau change) and the combined component pairs (amyloid AND tau change) were quantified. ResultsAmyloid SBNs presented greater spatial overlap with their respective amyloid components (24%-54%) than tau SBNs with the respective tau change components (16%-40%). However, the spatial combination of amyloid and tau component pairs showed highest spatial overlap with the amyloid SBNs (up to 62% vs. 39% for the tau SBNs). ConclusionMechanistically, regional associations of amyloid and tau pathology may be driven by underlying large-scale functional networks. Functional connections may thereby transmit soluble amyloid to remote brain regions within the same network, likely triggering tau aggregation.

neuroscience↗

bioRxiv2019

Phylogeny, morphology and the role of hybridization as driving force of evolution in grass tribes Aveneae and Poeae (Poaceae)

To investigate the evolutionary diversification and morphological evolution of grass supertribe Poodae (subfam. Pooideae, Poaceae) we conducted a comprehensive molecular phylogenetic analysis including representatives from most of their accepted genera. We focused on generating a DNA sequence dataset of plastid matK gene-3trnK exon and trnL- trnF regions and nuclear ribosomal ITS1-5.8S gene-ITS2 and ETS that was taxonomically overlapping as completely as possible (altogether 257 species). The idea was to infer whether phylogenetic trees or certain clades based on plastid and nuclear DNA data correspond with each other or discord, revealing signatures of past hybridization. The datasets were analysed using maximum parsimony, maximum likelihood and Bayesian approaches. Instances of severe conflicts between the phylogenetic trees derived from both datasets, some of which have been noted earlier, unambiguously point to hybrid origin of several lineages (subtribes, groups of genera, sometimes genera) such as Phalaridinae, Scolochloinae, Sesleriinae, Torreyochloinae; Arctopoa, Castellia, Graphephorum, Hyalopodium, Lagurus, Macrobriza, Puccinellia plus Sclerochloa, Sesleria, Tricholemma, American Trisetum, etc. and presumably Airinae, Holcinae and Phleinae. Calamagrostis flavens appears to be an intergeneric hybrid between Agrostis and Calamagrostis. Most frequently there is good agreement of other regions of the trees, apart from intrinsic different phylogenetic resolution of the respective DNA markers. To explore the to date rather unclear morphological evolution of our study group a data matrix encompassing finally 188 characters was analysed for ancestral state reconstructions (ASR) using the tree from the combined molecular dataset as presumably best approximation to the species phylogeny. For 74 characters ASRs were feasible and yielded partly surprising results for the study group as a whole but also for some of their subdivisions. Considering taxonomy and classification it became evident, that many morphological characters show a very high degree of homoplasy and are seemingly able to change within comparatively short timespans in the evolution of our grasses. Most of the taxonomic units distinguished within our study group, e.g. as subtribes, are defined less by consistent morphological characters or character combinations and should be rather understood as clades revealed by molecular phylogenetic analysis. One reason for this extreme homoplasy concerning traditionally highly rated characters of inflorescences or spikelets and their components might be that they have little to do with pollination (always wind) or adaptation to pollinators as in other angiosperms but rather with dispersal and diaspores. Easily changing structure of spikelet disarticulation, of glume, lemma or awn characters might be advantageous in the rapid adaptation to different habitats and micro-habitats, which was evidently most successfully accomplished by these grasses. A partly revised classification of Poodae is presented, including a re-instatement of tribes Aveneae and Poeae s.str. Following a comparatively narrow delineation of preferably monophyletic subtribes, Antinoriinae, Avenulinae, Brizochloinae, Helictochloinae, Hypseochloinae are described as new. New genera are Arctohyalopoa and Hyalopodium. New combinations are Arctohyalopoa lanatiflora, A. lanatiflora subsp. ivanoviae, A. lanatiflora subsp. momica, Colpodium biebersteinianum, C. kochii, C. trichopodum, C. verticillatum, Deschampsia micrathera, Dupontia fulva, Festuca masafuerana, Hyalopodium araraticum, Paracolpodium baltistanicum, Parapholis cylindrica, P. xpauneroi. Festuca masatierrae is a new name.\n\nSupporting Information may be found online in the Supporting Information section at the end of the article.

plant biology↗