Biology subjects

Aldarondo, D.

Publications and source records attributed to Aldarondo, D..

4 recordsLinked to original sources

bioRxiv2024

Mapping the landscape of social behavior

Social interaction is integral to animal behavior. However, we lack tools to describe it with quantitative rigor, limiting our understanding of its principles and neuropsychiatric disorders, like autism, that perturb it. Here, we present a technique for high-resolution 3D tracking of postural dynamics and social touch in freely interacting animals, solving the challenging subject occlusion and part assignment problems using 3D geometric reasoning, graph neural networks, and semi-supervised learning. We collected over 140 million 3D postures in interacting rodents, featuring new monogenic autism rat lines lacking reports of social behavioral phenotypes. Using a novel multi-scale embedding approach, we identified a rich landscape of stereotyped actions, interactions, synchrony, and body contact. This enhanced phenotyping revealed a spectrum of changes in autism models and in response to amphetamine that were inaccessible to conventional measurements. Our framework and large library of interactions will greatly facilitate studies of social behaviors and their neurobiological underpinnings.

animal behavior and cognition↗

bioRxiv2023

Nanoparticle endocytosis is driven by monocyte phenotype rather than nanoparticle size under high shear flow conditions

Monocytes are members of the mononuclear phagocyte system involved in pathogen clearance and nanoparticle pharmacokinetics. Monocytes play a critical role in the development and progression of cardiovascular disease and, recently, in SARS-CoV-2 pathogenesis. While studies have investigated the effect of nanoparticle modulation on monocyte uptake, their capacity for nanoparticle clearance is poorly studied. In this study, we investigated the impact of ACE2 deficiency, frequently observed in individuals with cardiovascular complications, on monocyte nanoparticle endocytosis. Moreover, we investigated nanoparticle uptake as a function of nanoparticle size, physiological shear stress, and monocyte phenotype. Our Design of Experiment (DOE) analysis found that the THP-1 ACE2- cells showed a greater preference for 100nm particles under atherosclerotic conditions than THP-1 wild-type cells. Observing how nanoparticles can modulate monocytes in the context of disease can inform precision dosing.

bioengineering↗

bioRxiv2022

Task-specific effects of biological sex and sex hormones on object recognition memories in a 6-hydroxydopamine-lesion model of Parkinson's disease in adult male and female rats

Many patients with Parkinsons disease (PD) experience impairments in cognition and memory with few therapeutic options currently available to mitigate them. This has fueled interest in determining how factors including biological sex and sex hormones might modulate higher order function in PD. Previous studies have investigated this in female rats and in gonadally intact and gonadectomized males, with and without hormone replacement, that received bilateral neostriatal 6-hydroxydopamine (6-OHDA) lesions to model PD. Barnes maze and What Where When Episodic-like memory testing showed that 6-OHDA lesions disrupted spatial working and episodic memory functions in both sexes, and that in males, androgen-sensitive behaviors could be rescued in subjects where circulating androgen levels were diminished. Here we tested similar animal groups using the Novel Object Preference (NOP) and Object-in-Place (OiP) tasks. This revealed two entirely different patterns of sex and sex hormone influence. First, for both tasks, 6-ODHA lesions impaired object discrimination in males but not females. Further, for the NOP task, 6-OHDA lesions disrupted discrimination in males rats independently of hormone status. And finally, 6-OHDA lesions impaired OiP performance in males regardless of whether androgen levels were high or low but had no effect on discrimination in gonadectomized rats given 17{beta}-estradiol. Together with previous findings, these data identify the impacts of sex and sex hormones on cognition and memory in PD as behavioral task/behavioral domain specific. This specificity could explain why a cohesive clinical picture of endocrine impacts on higher order function in PD has remained elusive. HIGHLIGHTSO_LI6-OHDA lesions impair Novel Object performance in male but not female rats. C_LIO_LI6-OHDA lesions impair Object-in-Place performance in male but not female rats. C_LIO_LIGonadectomy has no effect on 6-OHDA-induced deficits in Novel Object Preference. C_LIO_LIEstrogen replacement prevents 6-OHDA-induced Object-in-Place deficits in males. C_LI

neuroscience↗

bioRxiv2018

Fast animal pose estimation using deep neural networks

Recent work quantifying postural dynamics has attempted to define the repertoire of behaviors performed by an animal. However, a major drawback to these techniques has been their reliance on dimensionality reduction of images which destroys information about which parts of the body are used in each behavior. To address this issue, we introduce a deep learning-based method for pose estimation, LEAP (LEAP Estimates Animal Pose). LEAP automatically predicts the positions of animal body parts using a deep convolutional neural network with as little as 10 frames of labeled data for training. This framework consists of a graphical interface for interactive labeling of body parts and software for training the network and fast prediction on new data (1 hr to train, 185 Hz predictions). We validate LEAP using videos of freely behaving fruit flies (Drosophila melanogaster) and track 32 distinct points on the body to fully describe the pose of the head, body, wings, and legs with an error rate of <3% of the animals body length. We recapitulate a number of reported findings on insect gait dynamics and show LEAPs applicability as the first step in unsupervised behavioral classification. Finally, we extend the method to more challenging imaging situations (pairs of flies moving on a mesh-like background) and movies from freely moving mice (Mus musculus) where we track the full conformation of the head, body, and limbs.

animal behavior and cognition↗