Return to search

Using a porcine maternal infanticide model to investigate the inheritance of human puerperal psychosis

Puerperal Psychosis is the most severe form of postnatal psychiatric illness, and is a psychiatric emergency. Human-based research to find a means of genetically predicting a woman's risk of puerperal psychosis has so far failed to reliably or reproducibly identify candidate genes or pathways, due to problems common within the field of psychiatric genetics, leading to the proposal of using an animal model in the form of Porcine Maternal Infanticide. In this project, the author has aimed to understand the pathophysiology of PMI using NGS technologies in order to 1) extend the validity of PMI as a model for PP; 2) determine future steps for development of the PMI model; and 3) generate insights into the management of PMI (and by extension PP) via prediction and detection of a puerperal trigger. These aims have been pursued via two experiments. In the first, the author has created RNA-Seq libraries from archival RNA, and then performed differential gene expression analysis. The results indicated that RNA-Seq technologies can be used with archival RNA samples, but using such samples introduces the risk of degradation-based bias. The substantial influence of outliers, confounding factors and sample size on the results prevented reliable identification of candidate genes" but provide concrete guidelines development of the Porcine Maternal Infanticide model. In the second, the author has created MBD-Seq libraries from archival tissue, and then performed differential methylation analysis. The results indicated that it is possible to use MBD-Seq technologies with Sus scrofa brain tissue. Once again, the effect of confounding factors and sample size on the results prevented reliable identification of candidate genes, but provide guidance for development of the Porcine Maternal Infanticide model.

Identiferoai:union.ndltd.org:bl.uk/oai:ethos.bl.uk:763758
Date January 2019
CreatorsLanders, Courtney Amaryllis
ContributorsSargent, Carole Anne ; Affara, Nabeel
PublisherUniversity of Cambridge
Source SetsEthos UK
Detected LanguageEnglish
TypeElectronic Thesis or Dissertation
Sourcehttps://www.repository.cam.ac.uk/handle/1810/284358

Page generated in 0.0015 seconds