Peripheral benzodiazepine receptors reflect trait (early handling) but not state (avoidance learning)

Julia Lehmann, Ronit Weizman, Svetlana Leschiner, Joram Feldon, Moshe Gavish*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

Behavioral animal paradigms and experimental neuroendocrinological and neurochemical studies have shown that early environmental manipulations have profound effects on the late response to stress. The aim of the present study was to investigate the interactive effects of environmental manipulation (early handling) and experimentally induced behavioral differences on the peripheral benzodiazepine receptor (PBR) system, which is known to be involved in the response to stressors. Adult early-handled (EH) and nonhandled (NH; control) Wistar rats were placed in a two-way active avoidance/latent inhibition (LI) paradigm, and PBR densities in the adrenal glands, kidneys, and gonads were assessed. In line with previous studies, overall avoidance learning improved in the EH group, and LI was disrupted in the NH group (primarily in males). PBR densities were up-regulated in EH subjects, and more so in females than males. However, PBR densities did not correlate with any of the behavioral measures. These findings strengthen the hypothesis that differences in PBR densities between EH and NH rats are a reflection of trait rather than state, and they suggest that the PBR system is characterized by a highly stressor-specific response.

Original languageEnglish
Pages (from-to)87-93
Number of pages7
JournalPharmacology Biochemistry and Behavior
Volume73
Issue number1
DOIs
StatePublished - 2002

Funding

FundersFunder number
Swiss Federal Institute of Technology, Zürich

    Keywords

    • Early handling
    • Latent inhibition
    • Peripheral benzodiazepine receptor
    • Rats
    • Two-way active avoidance

    Fingerprint

    Dive into the research topics of 'Peripheral benzodiazepine receptors reflect trait (early handling) but not state (avoidance learning)'. Together they form a unique fingerprint.

    Cite this