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Biology subjects

Aranda, M. L.

Publications and source records attributed to Aranda, M. L..

6 recordsLinked to original sources

Light gates hormonal modulation of threat avoidance in female mice

Animals must constantly calibrate the costs and benefits of exploration of an environment based on expectations of danger. These decisions are strongly shaped by past experience of perceived threats within that environment and by internal state, which is strongly modulated by circulating gonadal hormones. Although the circuits underlying threat detection are relatively well characterized, how sex hormones shape the long-term behavioral consequences of prior threat experience, and whether this differs across sexes, remains unknown. Here, we show that female mice, like males, exhibit robust long-term threat avoidance (LTTA), avoiding a location where they previously experienced a single visual threat. However, we find that in females this behavior shows strong modulation by the estrous cycle. Surprisingly, we find that though male and female LTTA is driven through glutamate release by the melanopsin-projecting intrinsically photosensitive retinal ganglion cells (ipRGCs) in the thalamic perihabenular nucleus, disruption of this circuit drives completely opposing effects on male versus female LTTA. Moreover, hormonal modulation of LTTA in females requires functional ipRGC input. Thus, despite similar circuit architecture and behavioral outcomes, the individual components of the LTTA circuit play opposing roles in shaping this behavior in males and females, and female LTTA is further tuned by hormonal status.

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Melanopsin contributes to circadian photic responses in mice in a sex-dependent manner

Proper entrainment of the bodys circadian rhythms to the environment is critical to human health. Light is one of the strongest cues driving circadian photoentrainment of the central circadian pacemaker, the suprachiasmatic nucleus (SCN), via projections from the melanopsin-expressing intrinsically photosensitive retinal ganglion cells (ipRGCs). Circadian research has historically centered males, and recent work has revealed multiple sex-differences in circadian circuitry and function, indicating that our understanding of this system in females is severely limited. Moreover, while recent studies have investigated the role of hormonal modulation of light responses, the additional possibility that ipRGC inputs may also be sex-dependent has not been directly tested. Here, we report that not only do ipRGCs in female mice show higher levels of melanopsin expression, but that melanopsin also plays a larger role in shaping circadian photic responses in females compared to males. Collectively, these results define a new retinal source for sex-dependent differences in circadian behavior.

neuroscience↗

Light tunes a novel long-term threat avoidance behavior

Animals must constantly scan their environment for imminent threats to their safety. However, they must also integrate their past experiences across long timescales to assess the potential recurrence of new threats. Though visual inputs are critical for the detection of environmental danger, whether and how visual information shapes an animals assessment of whether a new threat is likely to reappear in a given context is unknown. Using a novel behavioral assessment of long-term threat avoidance behavior, we find that animals will avoid a familiar location where they previously experienced a single exposure to an innately threatening visual stimulus. This avoidance behavior is highly sensitive and lasts for multiple days. Intriguingly, we find that the melanopsin-expressing, intrinsically photosensitive retinal ganglion cells tune this behavior via a perihabenular-nucleus accumbens circuit distinct from the canonical visual threat detection circuits. These findings define a specific retinal cell type driving a new long-term threat avoidance behavior driven by prior visual experience.

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Genetic tuning of intrinsically photosensitive retinal ganglion cell subtype identity to drive visual behavior

The melanopsin-expressing, intrinsically photosensitive retinal ganglion cells (ipRGCs) comprise a subset of the [~]40 retinal ganglion cell types in the mouse retina and drive a diverse array of light-evoked behaviors from circadian photoentrainment to pupil constriction to contrast sensitivity for visual perception. Central to the ability of ipRGCs to control this diverse array of behaviors is the distinct complement of morphophysiological features and gene expression patterns found in the M1-M6 ipRGC subtypes. However, the genetic regulatory programs that give rise to subtypes of ipRGCs are unknown. Here, we identify the transcription factor Brn3b (Pou4f2) as a key genetic regulator that shapes the unique functions of ipRGC subtypes and their diverse downstream visual behaviors.

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An ethologically relevant paradigm to assess visual contrast sensitivity in rodents

In the animal kingdom, threat information is perceived mainly through vision. The subcortical visual pathway plays a critical role in the rapid processing of visual information-induced fear, and triggers a response. Looming-evoked behavior in rodents, mimicking response to aerial predators, allowed identify the neural circuitry underlying instinctive defensive behaviors; however, the influence of disk/background contrast on the looming-induced behavioral response has not been examined, either in rats or mice. We studied the influence of the dark disk/gray background contrast in the type of rat and mouse defensive behavior in the looming arena, and we showed that rat and mouse response as a function of disk/background contrast adjusted to a sigmoid-like relationship. Both sex and age biased the contrast-dependent response, which was dampened in rats submitted to retinal unilateral or bilateral ischemia. Moreover, using genetically manipulated mice, we showed that the three type of photoresponsive retinal cells (i.e., cones, rods, and intrinsically photoresponsive retinal ganglion cells (ipRGCs)), participate in the contrast-dependent response, following this hierarchy: cones > rods >>ipRGCs. The cone and rod involvement was confirmed using a mouse model of unilateral non-exudative age-related macular degeneration, which only damages canonical photoreceptors and significantly decreased the contrast sensitivity in the looming arena.

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Histological validation of per-bundle water diffusion metrics within a region of fiber crossing following axonal degeneration

Micro-architectural characteristics of white matter can be inferred through analysis of diffusion-weighted magnetic resonance imaging (dMRI). The diffusion-dependent signal can be analyzed through several methods, with the tensor model being the most frequently used due to its straightforward interpretation and relaxed acquisition parameters. While valuable information can be gained from the tensor-derived metrics in regions of homogeneous tissue organization, this model does not provide reliable microstructural information at crossing fiber regions, which are pervasive throughout human white matter. Several multiple fiber models have been proposed that seem to overcome the limitations of the tensor, with few providing per-bundle dMRI-derived metrics. However, biological interpretations of such metrics are limited by the lack of histological confirmation. To this end, we developed a straightforward biological validation framework. Unilateral retinal ischemia was induced in ten rats, which resulted in axonal (Wallerian) degeneration of the corresponding optic nerve, while the contralateral was left intact; the intact and injured axonal populations meet at the optic chiasm as they cross the midline, generating a fiber crossing region in which each population has different diffusion properties. Five rats served as controls. High-resolution ex vivo dMRI was acquired five weeks after experimental procedures. We correlated and compared histology to per-bundle descriptors derived from three novel methodologies for dMRI analysis (constrained spherical deconvolution and two multi-tensor representations). We found a tight correlation between axonal density (as evaluated through automatic segmentation of histological sections) with per-bundle apparent fiber density and fractional anisotropy (derived from dMRI). The multi-fiber methods explored were able to correctly identify the damaged fiber populations in a region of fiber crossings (chiasm). Our results provide validation of metrics that bring substantial and clinically useful information about white-matter tissue at crossing fiber regions. Our proposed validation framework is useful to validate other current and future dMRI methods.

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