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Anderson, A. K.

Publications and source records attributed to Anderson, A. K..

11 recordsLinked to original sources

In vivo HSPC gene therapy of hemoglobinopathies without drug selection of corrected cells

In vivo hematopoietic stem/progenitor cell (HSPC) gene therapy remains limited by low gene-editing efficiency and a lack of clinically applicable selection strategies to enrich therapeutically corrected progeny. We used in vivo base and prime editing to introduce a nonpathogenic EPOR variant into HSPCs, conferring erythropoietin hypersensitivity and promoting preferential expansion of gene-corrected erythroid cells. EPOR editing was combined with three therapeutic approaches for the correction of hemoglobinopathies: {gamma}-globin gene addition, {gamma}-globin reactivation, or correction of the sickle cell disease mutation. Tropism-modified helper-dependent adenoviral vectors (HDAd6/3+) targeting HSPCs were used to simultaneously deliver the EPOR-editing machinery and the corresponding therapeutic components. In vitro studies in an erythroid progenitor cell line and primary CD34+ cells demonstrated that the EPORW439* variant conferred a strong proliferative advantage to therapeutically modified erythroid progenitors. Mice humanized with CD34+ cells from a {beta}/{beta}-thalassemia patient were subjected to EPORW439*-mediated EPO hypersensitivity alongside a therapeutic {gamma}-globin transgene which resulted in >70% HbF-positive erythroid cells and substantial reversion of the disease-associated phenotype, including reduced oxidative stress, near-complete elimination of splenic iron deposition, and reduced splenomegaly. Importantly, these effects were achieved after simple intravenous administration of the vectors following HSPC mobilization and cytokine prophylaxis, without subsequent pharmacologic selection. Together, these findings establish a strategy to amplify the therapeutic benefit of otherwise limited in vivo HSPC gene editing for hemoglobinopathies.

bioengineering↗

Pupil size and pupil change correlate with distinct cortical neurochemical systems across the adult lifespan

Pupillometry is often used as a proxy for locus coeruleus (LC) activity, but whether this relationship changes across the lifespan is unknown, and important to establish due to the known change in LC biology with age. We collected simultaneous pupillometry and multi-echo fMRI in 89 adults aged 19-78 during a visual oddball task. Oddball-evoked pupillary responses were robust in all age groups but strongest in middle age. Oddball-evoked LC BOLD responses were relatively weak and did not predict individual pupillary responses, so we characterized pupil-BOLD coupling across the whole brain. Pupil size and its first derivative correlated with BOLD on distinct timescales (2.25 s and 5.00 s) and in distinct spatial patterns. Against 19 PET maps, derivative coupling correlated uniquely with norepinephrine transporter (NET) density, and size-unique coupling with -opioid (MOR) and cannabinoid CB1 density. Only pupil derivative-specific relationships with BOLD activity (both extent of coupling and association with NET) weakened with age, though both remained significant; other pupil-BOLD relationships did not differ with age. Pupil size and pupil change therefore carry different information about cortical activity throughout the lifespan.

neuroscience↗

Vagal nerve stimulation alters task-evoked pupillary responses in older adults but not younger adults in a single-blind sham-controlled crossover trial

IntroductionThe locus coeruleus (LC) undergoes age-related changes and is involved in Alzheimers disease pathogenesis. Vagal nerve stimulation (VNS) may modulate LC activity and could be used therapeutically, but age-related differences in VNS responses remain unexplored. MethodsWe used a single-blind, sham-controlled, crossover design in 41 participants (21 younger, 20 older adults). Participants completed a visual oddball task with pupillometry during transcutaneous auricular VNS (verum: cymba concha; sham: earlobe) with [~]30-minute washout between conditions. ResultsOlder adults showed smaller baseline pupil diameter but larger normalized task-evoked responses than younger adults a priori. VNS produced age-specific effects: older adults demonstrated increased tonic pupil size throughout stimulation and reduced oddball-evoked responses, with stronger effects with more current. Younger adults showed no consistent VNS effects. DiscussionVNS affects LC-related physiological measures differently across age groups, with older adults showing more robust responses. These age-specific effects may reflect different baseline LC activity states.

neuroscience↗

Anti-amyloid antibody equilibrium binding to Aβ aggregates from human Alzheimer disease brain

ImportanceAnti-amyloid immunotherapy is used to treat Alzheimer disease (AD) with moderate benefits and potentially serious side effects due to amyloid related imaging abnormality with effusions/edema (ARIA-E). Different anti-amyloid antibodies have different in vitro binding characteristics to different synthetic A{beta} aggregates, leading to the assumption that they bind different species in the human brain. Lecanemab is hypothesized to bind "protofibrils," but these are not well-characterized in human brain. It is also unknown how binding differences correlate with ARIA-E rates. The APOE {varepsilon}4 allele increases ARIA-E risk, but how it affects antibody binding characteristics is unknown. ObjectivesTo determine whether anti-amyloid antibodies bind different species of human brain A{beta} and whether these binding properties to human brain A{beta} explains ARIA-E rates. DesignCross-sectional study of 18 postmortem human brains. SettingSingle tertiary care hospital. ParticipantsDeceased patients with AD and cerebral amyloid angiopathy (CAA). Main Outcomes and MeasuresEquilibrium binding constants (KD) and total A{beta} binding (Bmax) of recombinant aducanumab, lecanemab, and donanemab equivalents to human brain soluble and insoluble amyloid plaque-enriched and CAA-enriched A{beta} aggregates. ResultsLecanemab did not bind with greater affinity to the soluble fraction of A{beta} compared to aducanumab. All three antibodies were bound essentially identical quantities of A{beta} across the 18 cases and fractions (Pearsons r 0.84 - 0.97). Antibody preference for plaque vs CAA A{beta} did not differ in soluble fractions but differed slightly in insoluble extracts. The APOE {varepsilon}4 allele led to a more soluble antibody-accessible A{beta} pool in a dose-dependent manner for all three antibodies. Conclusions and RelevanceThe lecanemab binding target in human brain is unlikely to be distinctly "protofibrillar" compared to other antibodies. Differences in antibody preference for plaque vs CAA A{beta} are unlikely to fully explain differences in ARIA-E rates. The APOE {varepsilon}4 allele may plausibly increase ARIA-E risk by making antibody-accessible A{beta} more soluble. These results have implications for improving the safety and efficacy of current and future anti-amyloid antibody therapies.

neuroscience↗

Locus coeruleus neuromelanin accumulation and dissipation across the lifespan

The pigment neuromelanin, produced in the locus coeruleus (LC) as a byproduct of catecholamine synthesis, gives the "blue spot" its name, and both identifies LC neurons and is thought to play an important yet complex role in normal and pathological aging. Using neuromelanin-sensitive T1-weighted turbo spin echo MRI scans we characterized volume and neuromelanin signal intensity in the LC of 96 participants between the ages of 19 and 86. Although LC volume did not change significantly throughout the lifespan, LC neuromelanin signal intensity increased from early adulthood, peaked around age 60 and precipitously declined thereafter. Neuromelanin intensity was greater in the caudal relative to rostral extent and in women relative to men. With regard to function, rostral LC neuromelanin intensity was associated with fluid cognition in older adults (60+) only in those above the 50th percentile of cognitive ability for age. The gradual accumulation of LC neuromelanin across the lifespan, its sudden dissipation in later life, and relation to preserved cognitive function, is consistent with its complex role in normal and pathological aging.

neuroscience↗

Attention-dependent coupling with forebrain and brainstem neuromodulatory nuclei changes across the lifespan

Attentional states continuously reflect the predictability and uncertainty in ones environment having important consequences for learning and memory. Beyond well known cortical contributions, rapid shifts in attention are hypothesized to also originate from deep nuclei, such as the basal forebrain (BF) and locus coeruleus (LC) neuromodulatory systems. These systems are also the first to change with aging. Here we characterized the interplay between these systems and their regulation of afferent targets - the hippocampus (HPC) and posterior cingulate cortex (PCC) - across the lifespan. To examine the role of attentional salience on task-dependent functional connectivity, we used a target-distractor go/no go task presented during functional MRI. In younger adults, BF coupling with the HPC, and LC coupling with the PCC, increased with behavioral relevance (targets vs distractors). Although the strength and presence of significant regional coupling changed in middle age, the most striking change in network connectivity was in old age, such that in older adults BF and LC coupling with their cortical afferents was largely absent and replaced by stronger interconnectivity between LC-BF nuclei. Overall rapid changes in attention related to behavioral relevance revealed distinct roles of subcortical neuromodulatory systems. The pronounced changes in functional network architecture across the lifespan suggest a decrease in these distinct roles, with deafferentation of cholinergic and noradrenergic systems associated with a shift towards mutual support during attention guided to external stimuli. Significance statementChanges in attentional control across the lifespan may originate from cortical control networks or subcortical neuromodulatory systems, which are the first sites of age-related neuropathology. In young adults, we demonstrated functional coupling of the basal forebrain with the hippocampus, and locus coeruleus with the posterior cingulate cortex varies with task relevance. This coupling changed in middle age and most strikingly in older adults. In old age, task-dependent coupling between the locus coeruleus and basal forebrain was the predominant connection remaining within the observed network. Older adults exhibit reduced subcortical-cortical connectivity, consistent with a relative neuromodulatory deafferentation, replaced by subcortical-subcortical deep nuclear connectivity. This alteration in noradrenergic and cholinergic signaling has important implications for attention and memory formation and neurocognitive aging.

neuroscience↗

Reactivation of hedonic but not sensory representations in human emotional learning

Learning which stimuli in our environment co-occur with painful or pleasurable events is critical for survival. Previous research has established the basic neural and behavioural mechanisms of aversive and appetitive conditioning; however, it is unclear what precisely is learned. Here we examined what aspects of the unconditioned stimulus (US) - sensory and hedonic - are transferred to the conditioned stimulus (CS). To decode the content of brain activation patterns elicited during appetitive (soft touch) and aversive (painful touch) conditioning of faces, a novel variation of representational similarity analysis (RSA) based on theoretically driven representational patterns of interest (POIs) was applied to fMRI data. Once face associations were learned through conditioning, globally the CS reactivated US representational patterns showing conditioning-dependent reactivation. More specifically, in higher order brain regions, the CS only reactivated hedonic but not sensory aspects of the US - suggesting that affective conditioning primarily carries forward the valence of the experience rather than its sensory origins.

neuroscience↗

Vision-to-value transformations in artificial network and human brains

Humans and now computers can derive subjective valuations from sensory events although such transformation process is essentially unknown. In this study, we elucidated unknown neural mechanisms by comparing convolutional neural networks (CNNs) to their corresponding representations in humans. Specifically, we optimized CNNs to predict aesthetic valuations of paintings and examined the relationship between the CNN representations and brain activity via multivoxel pattern analysis. Primary visual cortex and higher association cortex activities were similar to computations in shallow CNN layers and deeper layers, respectively. The vision-to-value transformation is hence proved to be a hierarchical process which is consistent with the principal gradient that connects unimodal to transmodal brain regions (i.e. default mode network). The activity of the frontal and parietal cortices was approximated by goal-driven CNN. Consequently, representations of the hidden layers of CNNs can be understood and visualized by their correspondence with brain activity-facilitating parallels between artificial intelligence and neuroscience.

neuroscience↗

Hedonic representations in primary somatosensory cortices; Pain but not pleasure?

Emotion is typically understood to be an internal subjective experience originating in the brain. Yet in the somatosensory system hedonic information is coded by mechanoreceptors at the point of sensory contact before it reaches the central nervous system. It remains unknown, however, how these distinct peripheral channels for tactile hedonic information contribute to representations of interoceptive states relative to exteroceptive experience. In this fMRI study we applied representational similarity analyses with pattern component modeling, a technique that deconstructs representational states into a weighted set of distinct predefined constructs, to dissociate how discriminatory vs. hedonic tactile information, carried by A- and C-/CT-fibers respectively, contributes to population code representations in the human brain. Results demonstrated that information about appetitive and aversive tactile sensation is represented separately from non-hedonic tactile information across cortical structures. Specifically, although hedonic touch originates as a peripheral signal, labeled at the point of contact, representations in somatosensory cortices are guided by experiences of non-hedonic touch, By contrast, representations in regions associated with interoception and affect encode signals of hedonic touch. This provides evidence of complex tactile encoding that involves both external-exteroceptive and internal-interoceptive dimensions. Importantly, hedonic touch contributes to representations of internal state as well as those of externally generated stimulation.

neuroscience↗

Prefrontal-posterior coupling mediates emotion transitions and their influence on executive function

Although emotions often result from dynamic experiences with self-regulation unfolding over time, most research has focused on responses to affective stimuli from a rather static perspective. We studied and analyzed emotion transitions, attempting to reveal brain functions related to affect dynamics. EEG responses were examined during exposure to stable versus changing emotion-eliciting images (static vs dynamic conditions) plus their impact on executive function (EF) assessed with the flanker task. During dynamic conditions, reduced prefrontal to posterior EEG coherence in the beta frequency band and greater left frontal activity occurred compared to the static conditions. Among individuals suffering higher chronic stress, subsequent EF was hindered after dynamic conditions. Furthermore, the adverse effects of emotion transitions on EF for more chronically stressed individuals were mediated by prefrontal-posterior coherence in low beta frequency band during emotional image sequences. Emotion appears to influence EF through changes in large-scale synchronization. Individuals high in chronic stress are vulnerable to these effects.

neuroscience↗

Functional segregation of the human basal forebrain using resting state neuroimaging

The basal forebrain (BF) is poised to play an important neuromodulatory role in brain re-gions important to cognition due to its broad projections and complex neurochemistry. While significant in vivo work has been done to elaborate BF function in nonhuman rodents and primates, comparatively limited work has examined the in vivo function of the human BF. In the current study we used multi-echo resting state functional magnetic resonance imaging (rs-fMRI) from 100 young adults (18-34 years) to assess the potential segregation of human BF nuclei as well as their associated projections. Bottom-up clustering of voxel-wise functional connectivity maps yielded adjacent functional clusters within the BF that closely aligned with the distinct, hypothesized nuclei important to cognition: the nucleus basalis of Meynert (NBM) and the me-dial septum/diagonal band of Broca (MS/DB). Examining their separate functional connections, the NBM and MS/DB revealed distinct projection patterns, suggesting a conservation of nuclei-specific functional connectivity with homologous regions known to be anatomically innervated by the BF. Specifically, the NBM demonstrated coupling with a widespread cortical network as well as the amygdala, whereas the MS/DB revealed coupling with a more circumscribed net-work, including the orbitofrontal cortex and hippocampal complex. Collectively, these in vivo rs-fMRI data demonstrate that the human BF nuclei support functional networks distinct as-pects of resting-state functional networks, suggesting the human BF may be a neuromodulatory hub important for orchestrating network dynamics.\n\nHighlightsO_LIThe basal forebrain NBM and the MS/DB support two distinct functional networks\nC_LIO_LIFunctional networks closely overlap with known anatomical basal forebrain\nC_LIO_LIBasal forebrain networks are distinct from known resting-state functional networks\nC_LI

neuroscience↗