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Pfeiffer, R. L.

Publications and source records attributed to Pfeiffer, R. L..

4 recordsLinked to original sources

Neural Circuit Revision in Retinal Remodeling, A Pathoconnectomics Approach

Retinitis pigmentosa (RP), a retinal degenerative disease, is characterized by progressive photoreceptor loss and ongoing remodeling and rewiring of the inner retina. This study investigates rod network rewiring through pathoconnectomic evaluation and its impacts on signaling patterns. The glycinergic Aii amacrine cell (Aii) plays a central role in the healthy retina bridging rod and cone pathways, enabling an increased dynamic range of vision. Pathoconnectomics reveals altered connectivity in both the excitatory drive and gap junctional coupling of Aiis in retinal degeneration. A computational model of the rewired network was developed to assess the functional consequences of these structural changes by simulating light-evoked responses and changes in excitatory postsynaptic potentials (EPSPs). The model predicts significant changes in bipolar and Aii EPSPs between active and baseline conditions, driven by newly formed gap junctions in the degenerate retina. Notably, the aberrant circuitry induces rhythmic firing of up to 10 Hz in retinal ganglion cells, consistent with network depolarization relative to the healthy baseline state. These findings align with patch-clamp observations in rd1 and rd10 mouse models of RP, suggesting that Aii-mediated network alterations may underlie early clinical symptoms, including impaired adaptation between photopic and scotopic vision. More broadly, this work demonstrates that integrating computational modeling with pathoconnectomics enables predictive analysis of signaling in early-stage retinal degeneration and may help identify windows for therapeutic intervention. Such models could be further extended with multi-scale bioelectromagnetic simulations to optimize neurostimulation strategies aimed at slowing disease progression. Author summaryUnderstanding how retinal degeneration alters wiring topologies of the inner retina is important for the success of multiple therapeutic interventions, including cell replacement strategies, optogenetics, and electrode implants. Here, we continue our evaluation of retinal pathoconnectome 1 (RPC1), describing additional network-level changes occurring early in retinal degeneration. This analysis extends our previous findings on the emergence of gap junctions in rod bipolar cells in retinal degeneration to include the effects of these changes on the synaptic strength of inputs to the Aii. We then model how these network changes overall effect retinal processing through the creation of a more complete degenerate retina model. From these results we propose the emergence of aberrant gap junctions in the rod pathway as the network cause of atypical retinal ganglion cell firing and provide the field with a realistic network model for evaluating and optimizing therapeutic strategies.

neuroscience↗

A Pathoconnectome of Early Neurodegeneration

Connectomics has demonstrated that synaptic networks and their topologies are precise and directly correlate with physiology and behavior. The next extension of connectomics is pathoconnectomics: to map neural network synaptology and circuit topologies corrupted by neurological disease in order to identify robust targets for therapeutics. In this report, we characterize the first pathoconnectome, in this case, generated from a retina with photoreceptor degeneration. We observe aberrant connectivity in the rod-network pathway and novel synaptic connections deriving from neurite sprouting. These observations reveal principles of neuron responses to the loss of network components and can be extended to other neurodegenerative diseases.

neuroscience↗

Neural crest cells regulate optic cup morphogenesis by promoting extracellular matrix assembly

The interactions between an organ and its surrounding environment are critical in regulating its development. In vertebrates, neural crest and mesodermal mesenchymal cells have been observed close to the eye during development, and mutations affecting this periocular mesenchyme can cause defects in early eye development, yet the underlying mechanism has been unknown. Here, using timelapse microscopy and four-dimensional cell tracking in zebrafish, we establish that genetic loss of neural crest impairs cell movements within the optic vesicle. At the ultrastructural level, neural crest cells are required for basement membrane formation specifically around the retinal pigment epithelium. Neural crest cells express the extracellular matrix crosslinking protein nidogen and, strikingly, ectopically expressing nidogen in the absence of neural crest partially restores optic cup morphogenesis. These results demonstrate that the neural crest is required for local establishment of ocular extracellular matrix superstructure, which in turn drives optic cup morphogenesis.

developmental biology↗

Heterocellular coupling between amacrine cell and ganglion cells

All superclasses of retinal neurons display some form of electrical coupling including the key neurons of the inner plexiform layer: bipolar cells (BCs), amacrine or axonal cells (ACs) and ganglion cells (GCs). However, coupling varies extensively by class. For example, mammalian rod bipolar cells form no gap junctions at all, while all cone bipolar cells form class-specific coupling arrays, many of them homocellular in-superclass arrays. Ganglion cells are unique in that classes with coupling predominantly form heterocellular cross-class arrays of ganglion cell::amacrine cell (GC::AC) coupling in the mammalian retina. Ganglion cells are the least frequent superclass in the inner plexiform layer and GC::AC gap junctions are sparsely arrayed amidst massive cohorts of AC::AC, bipolar cell BC::BC, and AC::BC gap junctions. Many of these gap junctions and most ganglion cell gap junctions are suboptical, complicating analysis of specific ganglion cells. High resolution 2 nm TEM analysis of rabbit retinal connectome RC1 allows quantitative GC::AC coupling maps of identified ganglion cells. Ganglion cells classes apparently avoid direct cross-class homocellular coupling altogether even though they have opportunities via direct membrane touches, while transient OFF alpha ganglion cells and transient ON directionally selective (DS) ganglion cells are strongly coupled to distinct amacrine / axonal cell cohorts.\n\nA key feature of coupled ganglion cells is intercellular metabolite flux. Most GC::AC coupling involves GABAergic cells ({gamma}+ amacrine cells), which results in significant GABA flux into ganglion cells. Surveying GABA coupling signatures in the ganglion cell layer across species suggests that the majority of vertebrate retinas engage in GC::AC coupling.\n\nMulti-hop synaptic queries of the entire RC1 connectome clearly profiles the coupled amacrine and axonal cells. Photic drive polarities and source bipolar cell class selec-tivities are tightly matched across coupled cells. OFF alpha ganglion cells are coupled to OFF {gamma}+ amacrine cells and transient ON DS ganglion cells are coupled to ON {gamma}+ amacrine cells including a large interstitial axonal cell (IAC). Synaptic tabulations show close matches between the classes of bipolar cells sampled by the coupled amacrine and ganglion cells. Further, both ON and OFF coupling ganglion networks show a common theme: synaptic asymmetry whereby the coupled {gamma}+ neurons are also presynaptic to ganglion cell dendrites from different classes of ganglion cells outside the coupled set. In effect, these heterocellular coupling patterns enable an excited ganglion cell to directly inhibit nearby ganglion cells of different classes. Similarly, coupled {gamma}+ amacrine cells engaged in feedback networks can leverage the additional gain of bipolar cell synapses in shaping the signaling of a spectrum of downstream targets based on their own selective coupling with ganglion cells.

neuroscience↗