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Pedersen, M. H.

Publications and source records attributed to Pedersen, M. H..

2 recordsLinked to original sources

Novel, small molecules targeting the 5-HT4R receptor protect against stress-induced maladapative behavior with efficacy across age

BACKGROUNDStress is a risk factor for developing psychiatric disorders, including major depressive disorder (MDD). Compounds targeting the serotonin type 4 receptor (5-HT4R) hold promise as novel rapid-acting treatments of mood disorders. However, a lack of selectivity and numerous side effects have been limiting factors for their clinical use. Here, we developed and characterized novel-composition 5-HT4R compounds in mouse models of stress. METHODSThree 5-HT4R-targeting compounds were designed and synthesized based on PF-04995274, a high-affinity 5-HT4R ligand reported to be a partial agonist. G-protein assays were utilized to characterize molecular activity. Saline, PF-04995274, or a novel compound were administered before or after stress in male and female mice. Drug effects were assayed using behavioral paradigms. Patch clamp electrophysiology was used to determine the effect of drug on glutamatergic activity in hippocampal Cornu Ammonis 3 (CA3). RESULTSProphylactic administration of DL5, DL7, or DL8 was effective at reducing stress-induced maladaptive behaviors in male and female mice; DL7 and DL8 were effective when administered after stress. When administered following learned helplessness (LH), DL7 reduced behavioral despair and increased c-Fos in the dentate gyrus (DG) and CA3. All novel compounds attenuated large-amplitude AMPA receptor-mediated bursts in ventral CA3 (vCA3). In aged male mice, prophylactic DL7 reduced behavioral despair. CONCLUSIONSThese results characterize novel 5-HT4R-targeting compounds for stress-induced psychiatric disease with the potential to address unmet needs in adult and aged patients with stress-induced psychiatric illness. Future work will characterize their mechanism of action with the goal of clinical development.

neuroscience↗

Measuring plant diversity in a two-stage sampling design by Bayesian updated relative abundances

The two-stage sampling design provides good local estimates of both the number of plant species and the relative abundances. However, it is a problem to calculate Hill diversity indices at the local scale, because some of the species found in the large plot are not present in the small plot and such species should then incorrectly be weighted with zero relative abundance. A new method for calculating local Hill diversity indices from species richness and relative abundances data is therefore needed. We suggest to replace the local relative abundances with Bayesian updated relative abundance estimates, where the prior probability distribution of the relative abundances are empirically estimated from all plots of the same habitat types. The method is applied on Danish Nardus grasslands.

ecology↗