Biology subjects

Epp, S.

Publications and source records attributed to Epp, S..

6 recordsLinked to original sources

bioRxiv2026

Directed cortical connectivity inferred from neural energy metabolism

Complex cognition depends on directed communication between brain regions. Yet, resting functional MRI resolves only undirected associations, and inferring the direction of signalling has proven difficult across the whole brain. Because synaptic transmission is metabolically asymmetric, with the postsynaptic neuron bearing most of the energetic cost, regional energy demand carries a physical signature of the direction of communication. Here, we show that this signature organizes the human cortex into a reproducible directed hierarchy, in which sensory and attentional systems preferentially drive higher-order networks, while the default mode and control networks act as principal receivers. Critically, the inferred directionality is independently predicted by two cellular markers of neuronal energy demand, regional mitochondrial density and laminar cytoarchitecture, linking macroscale information flow to its cellular substrate. The directed architecture recapitulates the known feedforward and feedback organization of visual pathways and, using an average CMRGlc template, extends to functional MRI acquired without PET. By grounding communication direction in energy metabolism, Metabolic Connectivity Mapping bridges correlative and effective connectivity and offers a scalable, biologically interpretable framework for mapping directed communication across the human brain.

neuroscience↗

bioRxiv2024

Diphenyleneiodonium chloride inhibits MYCN-amplified neuroblastoma by targeting MYCN induced mitochondrial alterations

High-risk neuroblastoma is one of the most lethal childhood cancers. Half of these tumors are driven by MYCN gene amplification (MNA). Despite intensive chemo- and radiotherapy, only 40% of patients survive, and they often suffer from severe long-term side effects of these genotoxic treatments. Thus, new therapies are needed that are less toxic and more efficacious. Here, we identified diphenyleneiodonium (DPI) as a tool compound that preferentially targets MNA neuroblastoma. Using proteomic assays we investigated the DPI mode of action, finding that DPI induces the proteasomal degradation of MYCN and could reverse some alterations induced by high levels of MYCN. These include profound changes in the expression of proteins participating in the mitochondrial electron transport chain. Metabolic and biological assays suggested that alterations in mitochondrial function and the associated production of reactive oxygen species (ROS) are critical DPI targets in the context of MNA. DPI reduced the survival, and malignant transformation of neuroblastoma across a panel of cell lines at clinically achievable concentrations. DPI also shrank tumors and prevented metastatic spread in zebrafish models of MYCN-driven neuroblastoma. These findings suggest that processes impacted by complex I inhibitors could be valuable new targets for the development of non-genotoxic drugs against high-risk MNA neuroblastoma. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=151 SRC="FIGDIR/small/619268v2_ufig1.gif" ALT="Figure 1"> View larger version (32K): org.highwire.dtl.DTLVardef@167e953org.highwire.dtl.DTLVardef@10749e4org.highwire.dtl.DTLVardef@1842598org.highwire.dtl.DTLVardef@c05d82_HPS_FORMAT_FIGEXP M_FIG C_FIG

cancer biology↗

bioRxiv2023

An energy costly architecture of neuromodulators for human brain evolution and cognition

Humans spend more energy on the brain than any other species. However, the high energy demand cannot be fully explained by brain size scaling alone. We hypothesized that energy-demanding signaling strategies may have contributed to human cognitive development. We measured the energy distribution along signaling pathways using multimodal brain imaging and found that evolutionarily novel connections have up to 67% higher energetic costs of signaling than sensory-motor pathways. Additionally, histology, transcriptomic data, and molecular imaging independently reveal an upregulation of signaling at G-protein coupled receptors in energy-demanding regions. We found that neuromodulators are predominantly involved in complex cognition such as reading or memory processing. Our study suggests that the upregulation of neuromodulator activity, alongside increased brain size, is a crucial aspect of human brain evolution.

neuroscience↗

bioRxiv2022

Functional substitutions of amino acids that differ between GDF11 and GDF8 impact skeletal development and skeletal muscle.

Growth differentiation factor 11 (GDF11) and GDF8 (MSTN) are closely related TGF{beta} family proteins that interact with nearly identical signaling receptors and antagonist proteins. However, GDF11 appears to activate SMAD2/3 in vitro and in vivo more potently than GDF8. The ligands possess divergent structural properties, whereby substituting unique GDF11 amino acids into GDF8 enhanced activity of the resulting chimeric GDF8. We investigated potentially distinct endogenous activities of GDF11 and GDF8 in vivo by genetically modifying their mature signaling domains. Full recoding of the GDF8 mature domain to that of GDF11 yielded mice lacking GDF8, with GDF11 levels [~]50-fold higher than normal, and exhibiting modestly decreased muscle mass, with no apparent negative impacts on health or survival to adulthood. Substitution of two specific amino acids in the fingertip region of GDF11 with the corresponding GDF8 residues resulted in prenatal axial skeletal transformations, consistent with Gdf11-deficient mice, without apparent perturbation of skeletal or cardiac muscle development or homeostasis. These experiments uncover distinctive features between the GDF11 and GDF8 mature domains in vivo and identify specific requirement for GDF11 in early-stage skeletal development. Summary StatementReplacement of amino acids unique to GDF11 and GDF8 into the native locus of the other ligand yields measurable, differential skeletal and muscle phenotypes, revealing distinct features between the ligands.

developmental biology↗

bioRxiv2022

Dynamic regulation of neural variability during working memory reflects dopamine, functional integration, and decision-making

The regulation of moment-to-moment neural variability may permit effective responses to changing cognitive demands. However, the mechanisms that support variability regulation are unknown. In the context of working memory, we leverage the largest available PET and fMRI dataset to jointly consider three lenses through which neural variability regulation could be understood: dopamine capacity, network-level functional integration, and flexible decision processes. We show that with greater working memory load, upregulation of variability was associated with elevated dopamine capacity and heightened functional integration, effects dominantly expressed in the striato-thalamic system rather than cortex. Strikingly, behavioral modeling revealed that working memory load evoked substantial decision biases during evidence accumulation, and those who jointly expressed a more optimal decision bias and higher dopamine capacity were most likely to upregulate striato-thalamic variability under load. We argue that the ability to align striato-thalamic variability to level of demand may be a hallmark of a well-functioning brain.

neuroscience↗

bioRxiv2017

Local temporal variability reflects functional network integration in the human brain: On the crucial role of the thalamus

Local moment-to-moment variability exists at every level of neural organization, but its driving forces remain opaque. Based on animal work showing that within-region variability can be a primary function of synaptic input, we used fMRI to test in humans whether greater temporal variability in local brain regions was associated with higher functional network integration. We found that individuals with higher local temporal variability had a more integrated (lower-dimensional) network fingerprint, with temporal variability in the thalamus showing the strongest association with network dimensionality. Beyond animal findings showing that local variability should upregulate from thalamus to visual cortex, we found that local variability upregulated from thalamus to all structurally connected cortical targets. Critically, greater within-person thalamo-cortical upregulation was associated with higher integration in 12 of 13 examined networks. Our findings indicate that local variability primarily reflects functional integration, with the thalamus acting as a relay or modulator of variability in cortex.

neuroscience↗