bioRxiv Subject Collection: Neuroscience's Journal
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Monday, September 2nd, 2024
| Time |
Event |
| 7:52a |
Astrocyte-derived MFG-E8 facilitates microglial synapse elimination in Alzheimer's disease mouse models
Region-specific synapse loss is an early pathological hallmark in Alzheimer's disease (AD). Emerging data in mice and humans highlight microglia, the brain-resident macrophages, as cellular mediators of synapse loss; however, the upstream modulators of microglia-synapse engulfment remain elusive. Here, we report a distinct subset of astrocytes, which are glial cells essential for maintaining synapse homeostasis, appearing in a region-specific manner with age and amyloidosis at onset of synapse loss. These astrocytes are distinguished by their peri-synaptic processes which are 'bulbous' in morphology, contain accumulated p62-immunoreactive bodies, and have reduced territorial domains, resulting in a decrease of astrocyte-synapse coverage. Using integrated in vitro and in vivo approaches, we show that astrocytes upregulate and secrete phagocytic modulator, milk fat globule-EGF factor 8 (MFG-E8), which is sufficient and necessary for promoting microglia-synapse engulfment in their local milieu. Finally, we show that knocking down Mfge8 specifically from astrocytes using a viral CRISPR-saCas9 system prevents microglia-synapse engulfment and ameliorates synapse loss in two independent amyloidosis mouse models of AD. Altogether, our findings highlight astrocyte-microglia crosstalk in determining synapse fate in amyloid models and nominate astrocytic MFGE8 as a potential target to ameliorate synapse loss during the earliest stages of AD. | | 8:16a |
Biological sex determines skeletal muscle atrophy in response to cortical TDP-43 pathology
Background: Amyotrophic lateral sclerosis (ALS) is a fatal and incurable neurodegenerative condition. In ALS, wasting of skeletal muscle causes weakness, paralysis and ultimately, death due to respiratory failure. Diagnosis of ALS is a long process and delays in diagnosis are common, which impedes rapid provision of patient care and treatment. Additional tools or methodologies that improve early detection might help overcome the diagnostic delays and enhance survival and quality of life for people with ALS. In this study, we used a transgenic mouse model to create a detailed catalogue of skeletal muscle wasting with the goal of finding muscles that can be examined to enhance early diagnosis of ALS. Methods: Cortical pathology was induced by crossing CaMKIIa-tTA and tetO-hTDP-43{Delta}NLS transgenic mice ({Delta}NLS). Transgenic expression was induced at 30-days postnatal via removal of doxycycline diet. Mice were aged to 15-, 20-, 30- and 45-days post transgene induction. Microdissection was applied to isolate 22 individual hindlimb muscles for measurement of weight. Both males and females were used at all timepoints. Results: We found that male and female {Delta}NLS mice exhibited hindlimb skeletal muscle atrophy relative to controls. Multiply innervated muscles, also known as series-fibered muscles, were especially vulnerable to atrophy. The strongest predictor of the atrophic response across all hindlimb muscles was the extent to which any individual muscle was larger in males than females, known also as sexual dimorphism. In males, muscles that are usually larger in males compared to females experienced the most atrophy. Conversely, in females, muscles that are usually of similar size between males and females experienced the most atrophy. Segregating muscles based on whether they were more affected in males or females revealed that hip extensors, knee flexors, knee extensors, ankle dorsiflexors and ankle evertors were more affected in males. Hip adductors, hip rotators, hip flexors and ankle plantarflexors were more affected in females. Conclusions: Our results demonstrate that the difference in the size of skeletal muscles in males compared to females is the most powerful predictor of muscle atrophy in response to dying forward pathology. This indicates that sex is a strong determinant of skeletal muscle vulnerability in ALS. Our results provide new insights into determinants of skeletal muscle atrophy and may help inform selection of muscles for diagnostic testing of ALS patients. | | 6:31p |
Evolution of lateralized gustation in nematodes
Animals with small nervous systems have a limited number of sensory neurons that must encode information from a changing environment. This problem is particularly exacerbated in nematodes that populate a wide variety of distinct ecological niches but only have a few sensory neurons available to encode multiple modalities. How does sensory diversity prevail within this neuronal constraint? To identify the genetic basis for patterning different nervous systems, we demonstrate that sensory neurons in the Pristionchus pacificus respond to various salt sensory cues in a manner that is partially distinct from that of the distantly related nematode C. elegans. By visualizing neuronal activity patterns, we show that contrary to previous expectations based on its genome sequence, the salt responses of P. pacificus are encoded in a left/right asymmetric manner in the bilateral ASE neuron pair. Our study illustrates patterns of evolutionary stability and change in the gustatory system of nematodes. | | 7:45p |
Developmental and physiological impacts of pathogenic human huntingtin protein in the nervous system
Huntingtons Disease (HD) is a neurodegenerative disorder, part of the nine identified inherited polyglutamine (polyQ) diseases. Most commonly, HD pathophysiology manifests in middle-aged adults with symptoms including progressive loss of motor control, cognitive decline, and psychiatric disturbances. Associated with the pathophysiology of HD is the formation of insoluble fragments of the huntingtin protein (htt) that tend to aggregate in the nucleus and cytoplasm of neurons. To track both the intracellular progression of the aggregation phenotype as well as the physiological deficits associated with mutant htt, two constructs of human HTT were expressed with varying polyQ lengths, non-pathogenic-htt (Q15, NP-htt) and pathogenic-htt (Q138, P-htt), with an N-terminal RFP tag for in vivo visualization. P-htt aggregates accumulate in the ventral nerve cord cell bodies as early as 24 hours post hatching and significant aggregates form in the segmental nerve branches at 48 hours post hatching. Organelle trafficking up- and downstream of aggregates formed in motor neurons showed severe deficits in trafficking dynamics. To explore putative downstream deficits of htt aggregation, ultrastructural changes of presynaptic motor neurons and muscles were assessed, but no significant effects were observed. However, the force and kinetics of muscle contractions were severely affected in P-htt animals, reminiscent of human chorea. Reduced muscle force production translated to altered locomotory behavior. A novel HD aggregation model was established to track htt aggregation throughout adulthood in the wing, showing similar aggregation patterns with larvae. Expressing P-htt in the adult nervous system resulted in significantly reduced lifespan, which could be partially rescued by feeding flies the mTOR inhibitor rapamycin. These findings advance our understanding of htt aggregate progression as well the downstream physiological impacts on the nervous system and peripheral tissues. | | 7:45p |
Evidence for transient, uncoupled power and functional connectivity dynamics
There is growing interest in studying the temporal structure in brain network activity, in particular, dynamic functional connectivity (FC), which has been linked in several studies with cognition, demographics and disease states. The sliding window approach is one of the most common approaches to compute dynamic FC. However it cannot detect cognitively relevant and transient temporal changes at the time scales of fast cognition, i.e. on the order 100 milliseconds, which can be identified with model-based methods such as HMM (Hidden Markov Model) and DyNeMo (Dynamic Network Modes) using electrophysiology. These new methods provide time-varying estimates of the "power" (i.e. variance) and of the functional connectivity of the brain activity, under the assumption that they share the same dynamics. But there is no principled basis for this assumption. In this work, we propose Multi-dynamic Network Modes (M-DyNeMo), an extension to DyNeMo, that allows for the possibility that the power and the FC networks have different dynamics. Using this new method on magnetoencephalography (MEG) data, we show intriguingly that the dynamics of the power and the FC networks are uncoupled. Using a (visual) task MEG dataset, we also show that the power and FC network dynamics are modulated by the task, such that the coupling in their dynamics changes significantly during task. This new method reveals novel insights into evoked network responses and ongoing activity that previous methods fail to capture, challenging the assumption that power and FC share the same dynamics. |
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