bioRxiv Science⌕ Search

Biology subjects

Eckert, A.

Publications and source records attributed to Eckert, A..

7 recordsLinked to original sources

Abnormal Tau Protein Influences Intercellular Mitochondrial Transfer Between Astrocytic and Neuronal Cells

Tauopathies are a group of neurodegenerative diseases characterized by the pathological accumulation of abnormal tau protein. A consequence of tau pathologies is mitochondrial dysfunctions, which affect essential processes such as mitochondrial transport, bioenergetics, and dynamics. Given the high energy demands of neurons, tau-induced mitochondrial impairment significantly contributes to neuronal vulnerability and degeneration. Recent studies have revealed that cells can transfer mitochondria between them to help energy-deficient cells. This process, known as intercellular mitochondrial transfer, occurs through two different pathways: an indirect transfer via extracellular vesicles and a direct transfer via tunneling nanotubes and gap junctions. Given the known impact of abnormal tau protein on mitochondrial transport and actin filament dynamics, we hypothesized that intercellular mitochondrial transfer could be altered in the context of tauopathies. Therefore, this study aimed to investigate mitochondrial transfer between astrocytic and neuronal cells and assess how abnormal tau protein may influence this process. Our results showed that abnormal tau protein enhances mitochondrial transfer from astrocytic to neuronal cells. Notably, this transfer occurs mainly via contact-dependent mechanisms. In both pathological and healthy conditions, the transferred astrocytic mitochondria either fused with the mitochondrial network of recipient cells or were degraded in the lysosomes or remained isolated in the cytosol. Our data highlight a novel pathway by which abnormal tau protein impacts mitochondrial function, namely the transfer of astrocytic mitochondria to neuronal cells.

neuroscience↗

Human iPSCs from aged donors retain their mitochondrial aging signature

Aging represents the main risk factor for developing neurodegenerative disorders. One of the hallmarks of aging is mitochondrial dysfunction. Age-related mitochondrial alterations have been shown to affect mitochondrial energy metabolism and redox homeostasis as well as mitochondrial dynamics. In the present study, we addressed the question of whether or not, induced pluripotent stem cells (iPSCs) may be used as a model of "aging in a dish" to identify therapies at alleviating the aging of mitochondria. Notably, we could demonstrate that compared to human iPSCs from young donors, those from aged donors show impaired mitochondrial bioenergetics and exhibit a rise in reactive oxygen species generation. Furthermore, we demonstrate that iPSCs from aged donors present low mitochondrial mass and alterations of the morphology of the mitochondrial network. This study provides evidence that the aging phenotype is present at the mitochondrial level in iPSCs from aged donors, ranging from bioenergetics to dynamics. Thus, this model can be used for high through put screening to identify drugs that improve mitochondrial function. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=157 SRC="FIGDIR/small/589733v1_ufig1.gif" ALT="Figure 1"> View larger version (29K): org.highwire.dtl.DTLVardef@17c5ccorg.highwire.dtl.DTLVardef@bae9aaorg.highwire.dtl.DTLVardef@142d8e6org.highwire.dtl.DTLVardef@1adf519_HPS_FORMAT_FIGEXP M_FIG C_FIG

neuroscience↗

Preservation of an Aging-Associated Mitochondrial Signature in Advanced Human Neuronal Models

1.This study investigated whether induced pluripotent stem cell-derived neurons (iPSCsNs) and directly converted neurons (iNs) generated from the same cells of origin (human fibroblasts) represent aging-related characteristics on mitochondrial levels. There is still uncertainty regarding the potential for rejuvenation or preservation of an aging-associated donor signature in aged iPSCsNs upon transition through pluripotent states, while direct conversion retains the aging-associated mitochondrial impairments. Surprisingly, both aged neuronal models exhibited age-associated donor phenotypes, including decreased ATP, mitochondrial membrane potential, mitochondrial respiration, NAD+/NADH ratio, and increased radical levels and mitochondrial mass. Besides, a fragmented mitochondrial network was observed in both aged neuronal models. However, unlike aged iNs, aged iPSCsNs did not show a metabolic shift towards anaerobic glycolysis to compensate for the energy deficit. Moreover, the mRNA expression profile significantly differed between aged iPSCsNs and aged iNs. Our study indicates that aged iPSCsNs may experience rejuvenation in certain parameters, such as transcriptomics and the aging-associated glycolytic shift. Nevertheless, aged iPSCsNs can be a valuable tool for studying neuronal aging of mitochondrial parameters in vitro alongside aged iNs.

neuroscience↗

Variation in gene expression patterns across a conifer hybrid zone highlights the architecture of adaptive evolution under novel selective pressures

O_LIVariation in gene expression among natural populations are key contributors to adaptive evolution. Understanding the architecture underlying adaptive trait evolution provides insights into the adaptive potential of populations exposed to novel selective pressures. C_LIO_LIWe investigated patterns and processes driving trait differentiation under novel climatic conditions by combining common garden experiments with transcriptome-wide datasets obtained from Pinus strobiformis - Pinus flexilis hybrid zone populations. C_LIO_LIWe found strong signals of genotype-environment interactions at the individual transcript and the co-expression module level, a marked influence of drought related variables on adaptive evolution and an environment dependent influence of P. flexilis ancestry on survival. Using co-expression network connectivity as a proxy for pleiotropy we highlight that adaptive transcripts were pleiotropic across both gardens and modules with strong population differentiation exhibited lower preservation across gardens. C_LIO_LIOur work highlights the utility of integrating transcriptomics with space-for-time substitution studies to evaluate the adaptive potential of long-lived species. We conclude by suggesting that the combination of pleiotropic trait architectures and substantial genetic variation may enable long-lived forest tree species to respond to rapid shift in climatic conditions. C_LI

evolutionary biology↗

Mutant huntingtin crosses the neuromuscular junction and causes transmission-selective pathological alterations in huntingtin expressing myotubes

A potential explanation for the spatiotemporal accumulation of pathological lesions in the brain of patients with neurodegenerative protein misfolding diseases (PMDs) is cell-to-cell transmission of aggregation-prone, misfolded proteins. Little is known about central to peripheral transmission and its contribution to pathology. We show that transmission of Huntingtons disease- (HD-) associated mutant HTT exon 1 (mHTTEx1) occurs across the neuromuscular junctions in human iPSC cultures and in vivo in wild-type mice. We found that transmission is an active and dynamic process, that happens prior to aggregate formation and is regulated by synaptic activity. Furthermore, we find that transmitted mHTTEx1 causes HD-relevant pathology at a molecular and functional level in human muscle cells, even in the presence of ubiquitous expression mHTTEx1. With this work we uncover a casual-link between mHTTEx1 synaptic transmission and pathology, highlighting the therapeutic potential in blocking toxic protein transmission in PMDs.

neuroscience↗

Effects of learning and escitalopram administration on serum BDNF levels, a randomised placebo-controlled trial

BackgroundThe brain-derived neurotrophic factor (BDNF) has been implicated in processes essential for neuroplasticity. Learning and serotonin reuptake inhibitors (SSRI) foster neuronal reorganization, a mechanism potentially related to BDNF. This study aims to assess the effects of associative learning and escitalopram on serum BDNF (sBDNF) levels, to gain further knowledge on their dynamic interplay. MethodsFor three weeks, 37 participants performed one of two associative learning paradigms with either emotional or semantic content daily. During a subsequent three-week period of reversal learning, subjects either received escitalopram (10mg per day) or placebo. Before and after each learning period sBDNF values were assessed. Citalopram plasma levels were measured at the last time point. Linear mixed effects models (LME) and partial Spearmans rank and Pearson correlations were used for statistical analyses. ResultsOne-way LME resulted in a significant effect of time during the first learning period over both groups (p<0.01). Two-way LME revealed a significant interaction effect of the emotional content learning group and time (p=0.02). Three-way LME (time x reversal learning group x substance) showed no significant effects (all p> 0.05). Furthermore, correlation between citalopram and sBDNF level after three weeks of escitalopram administration exhibit a negative trend (partial Pearson correlation: r=-0.30, p=0.05; partial Spearmans rank: r=-0.22, p=0.15). ConclusionThe results suggest that three weeks of associative emotional content learning affect sBDNF levels, while subsequently assessed citalopram plasma and sBDNF levels tend to correlate negatively. Key PointsO_LIEmotional learning may affect serum BDNF levels in healthy human subjects C_LIO_LIBlood levels of citalopram and serum BDNF exhibit a negative correlation C_LI

neuroscience↗

Allele-specific endogenous tagging and quantitative analysis of β-catenin in colon cancer cells

Wnt signaling plays important roles in development, homeostasis, and tumorigenesis. Mutations in {beta}-catenin that activate Wnt signaling have been found in colorectal and hepatocellular carcinomas. However, the dynamics of wild-type and mutant forms of {beta}-catenin are not fully understood. Here, we genome-engineered fluorescently tagged alleles of the endogenous {beta}-catenin in a colorectal cancer cell line. Wild-type and oncogenic mutant alleles were tagged with different fluorescent proteins, enabling the analysis of both variants in the same cell. We analyzed the properties of both {beta}-catenin alleles using immunoprecipitation, immunofluorescence and fluorescence correlation spectroscopy approaches, revealing distinctly different biophysical properties. In addition, activation of Wnt signaling by treatment with a GSK3{beta} inhibitor or a truncating APC mutation modulated the wild-type allele to mimic the properties of the mutant {beta}-catenin allele. The one-step tagging strategy demonstrates how genome engineering can be employed for the parallel functional analysis of different genetic variants.

genetics↗