Swiss Physiology Meeting 2022

Bern, Tuesday 6 September 2022

Angelika Lampert (RWTH Aachen University, Germany.) 

"iPS-cell derived nociceptors to study the pathophysiology of pain-linked sodium channel mutations"

Chronic neuropathic pain treatment still is a therapeutic challenge and mechanistically based individual treatment is not available. Genetically encoded pain syndromes offer the chance to study mechanisms of chronic pain on a cellular level: induced pluripotent stem cells (iPSC) from patients carrying pain-causing mutations can be reprogrammed and differentiated into nociceptors in the dish. This system allows us to study the role of voltage gated sodium channels, e.g. Nav1.7, in action potential firing. Using patch-clamp electrophysiology, we find that Nav1.7 is not active during subthreshold depolarizations, but that its activity defines the action potential threshold and contributes to the action potential upstroke.

Ultimately, our goal is to identify personalized medicine for individual, treatment-resistant patients using iPSC derived nociceptors. In a case of a Caucasian patient suffering from severe small fiber neuropathy (SFN), we can report a first example of in-vitro predicted individualized treatment success. Using iPSC-derived patient nociceptors, we can identify patient specific firing patterns which can be directly correlated to clinical findings. Multi-electrode array recordings and transcriptomic approaches support diagnostics and functional/genetic characterization on a cellular level. This approach could open a way for successful companion diagnostics and personalized medicine. 

Angelika Lampert, MD, is a full professor in the Institute of Physiology (Neurophysiology) at the RWTH Aachen University, Germany.

Johan Auwerx (Laboratory of Integrative Systems Physiology - EPFL) 

"Cross species of genetics to identify targets in mitochondria and aging"

Our understanding of genetic mechanisms that define complex traits has been hindered by the difficulty of obtaining comprehensive omics datasets across a broad range of biological “layers”. Complete data on the genome of individuals can be readily obtained, but the full complexity of the transcriptome, proteome, metabolome, and phenome have remained largely out of reach. This is, however, beginning to change, with the development of robust multi-layered omics strategies that are pioneered in model organisms. We here profiled the healthspan in >80 cohorts of the BXD mouse genetic reference population. Large variability was observed across all omics layers; to understand how these differences stem from genetic variance, we exploited a multilayered set of molecular phenotypes—genomics, transcriptomics, proteomics, and metabolomics. With this multi-omics strategy, large networks of proteins could be analyzed and causal variants identified in proteins involved in determination of lifespan (e.g. Mrps5, Jmjd3), hypertension (Ubp1) and in mitochondrial metabolism (e.g. Dhtkd1, Cox7a2l). These new candidates were then validated using cross-species genetic strategies in C. elegans, mouse, and human. Our large-scope multi-omics measurements in mouse populations combined with cross-species validation hence provided us with robust conserved and mechanistically defined pathways that underpin complex traits involved in metabolism and aging.

Johan Auwerx is Professor at the École Polytechnique Fédérale in Lausanne, Switzerland