Modeling postpartum depression in rats: theoretic and methodological issues

Ming Li, Shinn Yi Chou

Research output: Contribution to journalReview article

3 Citations (Scopus)

Abstract

The postpartum period is when a host of changes occur at molecular, cellular, physiological and behavioral levels to prepare female humans for the challenge of maternity. Alteration or prevention of these normal adaptions is thought to contribute to disruptions of emotion regulation, motivation and cognitive abilities that underlie postpartum mental disorders, such as postpartum depression. Despite the high incidence of this disorder, and the detrimental consequences for both mother and child, its etiology and related neurobiological mechanisms remain poorly understood, partially due to the lack of appropriate animal models. In recent decades, there have been a number of attempts to model postpartum depression disorder in rats. In the present review, we first describe clinical symptoms of postpartum depression and discuss known risk factors, including both genetic and environmental factors. Thereafter, we discuss various rat models that have been developed to capture various aspects of this disorder and knowledge gained from such attempts. In doing so, we focus on the theories behind each attempt and the methods used to achieve their goals. Finally, we point out several understudied areas in this field and make suggestions for future directions.

Original languageEnglish (US)
Pages (from-to)229-236
Number of pages8
JournalDong wu xue yan jiu = Zoological research
Volume37
Issue number4
DOIs
StatePublished - Jul 18 2016

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Postpartum Depression
Postpartum Period
Aptitude
Mental Disorders
Motivation
Emotions
Animal Models
Mothers
Incidence

Keywords

  • Estrogen
  • HPA axis
  • Postpartum depression
  • Rat models
  • Stress

ASJC Scopus subject areas

  • Medicine(all)

Cite this

Modeling postpartum depression in rats : theoretic and methodological issues. / Li, Ming; Chou, Shinn Yi.

In: Dong wu xue yan jiu = Zoological research, Vol. 37, No. 4, 18.07.2016, p. 229-236.

Research output: Contribution to journalReview article

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