bioRxiv Science⌕ Search

bioRxiv · 10.1101/2025.08.06.668984

Localization of Mutant Huntingtin with HTT Exon1 P90 C-terminal Neoepitope Antibodies in Relation to Regional and Neuronal Vulnerability in Forebrain in Q175 Mice and Human Huntington's Disease

Abstract

BackgroundRecent evidence suggests that accumulation of mutant exon 1 protein (HTT1a) may be critical to HD pathogenesis, but the relation of this to differential regional and cellular vulnerability in HD is unknown. ObjectiveWe assessed the contribution of the accumulation of the mutant huntingtin HTT1a to the regional and cellular variation in HD brain pathology by determining if more vulnerable regions and neuron types were relatively enriched. MethodsWe performed immunolabeling using the novel monoclonal antibodies 11G2 and 1B12 against the C-terminal proline 90 (P90) neoepitope of huntingtin HTT1a, which detect accumulation of monomeric, oligomeric and aggregated mutant HTT1a, on forebrain of Q175 and R6/2 mice and human HD cases. ResultsDiffuse nuclear and aggregate immunolabeling increased in abundance in Q175 with age, with striatal projection neurons showing immunolabeling earlier than cortical neurons, and only neuropil immunolabeling prominent in pallidal regions. Nonetheless, some regions less affected in HD, such as hippocampus, were rich in mutant HTT1a as well. In humans, striatal immunolabeling was sparser than in mouse, and mainly in the neuropil, but sparser in striatal target areas. In human HD cortex, the P90 antibodies detected predominantly neuropil aggregates, which appeared to, in part, localize to dendrites. Immunostaining in mouse and human could be blocked with HTT1a target peptide, demonstrating antibody specificity. ConclusionsOur results indicate that mutant HTT1a burden appears to partly account for overall differential forebrain regional vulnerability in HD, but additional factors may contribute to vulnerability differences among forebrain regions and between specific neuron types. Plain Language SummaryHuntingtons disease (HD) is caused by a mutant gene that is passed from one generation to the next. The mutant gene causes production of a mutant variant of an otherwise valuable protein called huntingtin. This mutant protein is thought to gradually damage neurons in the brain, leading to such extensive loss in a part of the brain called the basal ganglia that movement is impaired. The disability is eventually so severe, it proves fatal. It has been a mystery as to why the mutant protein might cause brain damage, but more so to some brain areas than others. One important recent clue has emerged from studies of the abnormal huntingtin protein that cells with the mutation make. Namely, rather than make a huntingtin protein of full size, as occurs normally, cells instead make only an abbreviated form of the huntingtin protein, but one that contains the abnormality. We hypothesized that if this mutant fragment is particularly toxic and the cause of the neuron damage in HD, then those brain regions that are most injured in the disease should accumulate more of this mutant fragment early in disease. We evaluated this hypothesis by examining accumulation of this mutant fragment, using a staining method selective for the fragment, in histological specimens from the brains of humans with HD and mice engineered to possess the same mutant gene as in the human disease. We found to a large extent that it is the case that those brain regions that showed the most disease-related damage, such as the basal ganglia, also accumulated the mutant huntingtin protein fragment the most. This fragment thus does appear to be toxic for neurons. Our work suggests that therapeutic efforts for HD should be directed at preventing its production or accumulation.

Source connections

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Deng, Y., Joni, M., Wang, H., Cox, R., Reiner, A.. 2025-08-09. Localization of Mutant Huntingtin with HTT Exon1 P90 C-terminal Neoepitope Antibodies in Relation to Regional and Neuronal Vulnerability in Forebrain in Q175 Mice and Human Huntington's Disease. https://doi.org/10.1101/2025.08.06.668984

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Attention Across Scales: From Individual Variation to Social Hierarchies and Brain Networks in Semi-Free-Ranging Macaques

Attention is a fundamental brain function supporting perception, decision-making, and social behavior, and its dysfunction profoundly impairs daily life. It is both dynamic and stable, varying across observations and individuals, changing across the lifespan, and being shaped by social and environmental experience. Yet capturing this complexity remains a central challenge in neuroscience. Here, we integrated longitudinal behavioral assessments of semi-free-ranging macaques living in naturalistic social groups with resting-state fMRI. We quantified performance across days, ages, and social hierarchies and related it to intrinsic brain organization. Distinct attentional phenotypes emerged, including individuals with reduced attentional control. Performance followed an inverted-U lifespan trajectory, improving from childhood to adulthood before declining. Social status modulated attentional performance. Critically, nonlinear lifespan trajectories and associations with individual attentional differences were most clearly expressed in frontoparietal connectivity. Together, these findings reveal how sustained attention is organized across scales, providing a biological framework for its individual diversity, social modulation, and neural basis.

neuroscience↗

Decoding natural scenes from patterned optogenetic responses in mouse visual cortex

A central challenge in developing visual cortical prostheses is to determine how visual stimuli should be transformed into effective patterns of cortical stimulation. Although advances in stimulation technologies, including optogenetics, provide increasingly precise control over cortical activity, it remains unclear whether artificially evoked activity can reproduce the information content of naturally evoked visual representations. Here we establish a quantitative framework for evaluating visual encoding strategies by decoding cortical responses evoked by natural vision and patterned optogenetic stimulation. We developed a novel dual-modal paradigm in awake mice to bridge the gap between endogenous photostimulation and artificial network driving. By co-expressing the high-performance calcium indicator GCaMP6s and the red-shifted, ultra-sensitive opsin rsChRmine-oScarlet in the primary visual cortex (V1), we successfully translated dynamic natural movie frames into patterned, spatiotemporal optogenetic stimulation. Quantitative comparisons of macro-scale dynamics demonstrated that this patterned optogenetic injection evokes cortical states highly comparable and representationally aligned with those driven by actual visual photostimulation. To systematically evaluate the fidelity of these responses, we developed STAR, a deep learning model featuring spatial and temporal attention mechanisms, and successfully reconstructed the frames of natural movies from V1 signals under both experimental modalities. Collectively, our results demonstrate that complex sensory information can be both naturally encoded and synthetically injected into V1 circuits with high decoding fidelity. This work provides an empirical and computational proof-of-concept for intelligent, closed-loop biomimetic encoders, establishing a robust framework for next-generation cortical visual neuroprostheses and bidirectional brain-machine interfaces.

neuroscience↗

Why Is Spontaneous Blink Timing Informative? An Adaptive Scheduling Perspective

Spontaneous eye blinks have long been linked to cognitive processing, yet how task demands shape blink timing and its relationship to behavioral performance remains unclear. We examined spontaneous blink behavior in 576 adults performing two variants of the Continuous Performance Task (CPT). Blink occurrence and timing were most strongly modulated by the experimental condition in the more demanding CPT-AX task, whereas their association with response time was stronger in the CPT-X task, where more consistent blink timing predicted faster responses. This dissociation suggests that task structure changes not only blink behavior but also the behavioral relevance of blink timing. These findings are consistent with an adaptive scheduling account of spontaneous blinking and provide a conceptual framework for understanding when and why blink timing contains chronometric information about ongoing cognition.

neuroscience↗