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Chavanne, A.

Publications and source records attributed to Chavanne, A..

2 recordsLinked to original sources

Chronopharmacological targeting of mitochondrial dihydroorotate dehydrogenase prevents diet-induced obesity in male mice

Daily hepatic mitochondrial rhythms are strengthened by time-restricted feeding in diet-induced obesity in male mice, as shown by metabolomics, including an early enhancement of oscillations within the de novo pyrimidine pathway. We tested whether timed inhibition of dihydroorotate dehydrogenase (DHODH, which links pyrimidine synthesis to respiratory-chain flux), can reproduce selected TRF-associated mitochondrial and metabolic effects. Administering the short-half-life inhibitor BAY2402234 at dawn transiently decreased DHODH activity, restored daily mitochondrial oxidative dynamics (ubiquinone/ubiquinol ratio), and amplified rhythms of respiratory exchange ratio and mitochondrial dynamics-related markers upon high-fat diet. Under ZT0 dosing, mice showed reduced weight gain, reduced adiposity and hepatic triglycerides, and improved glucose tolerance without changes in food intake; while ZT12 dosing was ineffective. Hepatic Dhodh knockdown did not reproduce the anti-obesity phenotype, and uridine supplementation blunted BAY2402234 benefits, implicating de novo pyrimidine flux. Our findings reveal rhythm-aware DHODH inhibition as a chronopharmacological preclinical candidate approach against overnutrition.

physiology↗

Protocol Update: The Normative Modelling Paradigm for Computational Psychiatry

Normative Modelling ( brain growth charting) is now a well-established method for computational psychiatry and involves charting centiles of variation across a population in terms of mappings between biology and behavior, providing statistical inferences at the level of the individual. These models have helped the field to move away from case-control analysis toward individual-level analysis. Correspondingly, normative modelling has now been applied to chart brain development and ageing in many populations and has been used to quantify individual deviations across various neurological and psychiatric conditions. This has been supported by large-scale models that are openly accessible for diverse brain imaging modalities. As normative modelling continues to grow, several recent methodological developments, such as non-Gaussian models, longitudinal models, and federated learning, have been implemented in different software tools, including the Predictive Clinical Neuroscience toolkit (PCNtoolkit). In this protocol update, we provide: (i) a revised overview of this methodological landscape; (ii) an update to our 2022 standardised analytical protocol for normative modelling of neuroimaging data, including options for federated and longitudinal normative models; (iii) practical guidance suited to both novice and experienced practitioners supported by open-source code examples implemented in the refactored version of PCNtoolkit; and (iv) updated models for cortical thickness, surface area, volumetric data, functional connectivity and diffusion-weighted imaging for use by the community.

neuroscience↗