Nature CommunicationsNeurosciencePeer-reviewed journal article
Perinatal serotonin signalling dynamically influences the development of cortical GABAergic circuits with consequences for lifelong sensory encoding
Gabriel Ocana-SanteroiD, Hannah WarmingiD, Veronica Munday, Heather A. MacKay, Caius R. GibeilyiD, Christopher Hemingway, Jacqueline A. Stacey, Abhishek SahaiD, Ivan P. Lazarte, Anjali BachettaiD, Fei DengiD, Yulong LiiD, Adam M. PackeriD, Trevor SharpiD, Simon J. B. ButtiD
Abstract
Serotonin plays a prominent role in neurodevelopment, regulating processes from cell division to synaptic connectivity1,2. Clinical studies suggest that alterations in serotonin signalling such as genetic polymorphisms3-5 or antidepressant exposure during pregnancy6,7 are risk factors for neurodevelopmental disorders. However, an understanding of how dysfunctional neuromodulation alters systems level activity over neocortical development is lacking. Here, we use a longitudinal imaging approach to investigate how genetics, pharmacology, and aversive experience disrupt state-dependent serotonin signalling with pathological consequences for sensory processing. We find that all three factors lead to increased neocortical serotonin levels during the initial postnatal period. Genetic deletion of the serotonin transporter or antidepressant dosing results in a switch from hypo- to hyper-cortical activity that arises as a consequence of altered cortical GABAergic microcircuitry. However, the trajectories of these manipulations differ with postnatal exposure to antidepressants having effects on adult sensory encoding. The latter is not seen in the genetic model despite a similar early phenotype, and a distinct influence of maternal genotype on the development of supragranular layers. These results reveal the dynamics and critical nature of serotonin signalling during perinatal life; pharmacological targeting of which can have profound life-long consequences for cognitive development of the offspring.
- organism: mouse
- assay: imaging
- research focus: cell-cell communication
- research focus: differential expression
- research focus: trajectory inference
- approach: experimental assay
- Citations
- 6
- FWCI
- 2.34
- Field percentile
- top 11%
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