Comparative analysis of pain behaviours in humanized mouse models of sickle cell anemia

Jianxun Lei, Barbara Benson, Huy Tran, Solomon F. Ofori-Acquah, Kalpna Gupta

Research output: Contribution to journalArticlepeer-review

26 Scopus citations

Abstract

Pain is a hallmark feature of sickle cell anemia (SCA) but management of chronic as well as acute pain remains a major challenge. Mouse models of SCA are essential to examine the mechanisms of pain and develop novel therapeutics. To facilitate this effort, we compared humanized homozygous BERK and Townes sickle mice for the effect of gender and age on pain behaviors. Similar to previously characterized BERK sickle mice, Townes sickle mice show more mechanical, thermal, and deep tissue hyperalgesia with increasing age. Female Townes sickle mice demonstrate more hyperalgesia compared to males similar to that reported for BERK mice and patients with SCA. Mechanical, thermal and deep tissue hyperalgesia increased further after hypoxia/reoxygenation (H/R) treatment in Townes sickle mice. Together, these data show BERK sickle mice exhibit a significantly greater degree of hyperalgesia for all behavioral measures as compared to gender- and age-matched Townes sickle mice. However, the genetically distinct "knock-in" strategy of human α and β transgene insertion in Townes mice as compared to BERK mice, may provide relative advantage for further genetic manipulations to examine specific mechanisms of pain.

Original languageEnglish (US)
Article numbere0160608
JournalPloS one
Volume11
Issue number8
DOIs
StatePublished - Aug 2016

Bibliographical note

Publisher Copyright:
© 2016 Lei et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Fingerprint

Dive into the research topics of 'Comparative analysis of pain behaviours in humanized mouse models of sickle cell anemia'. Together they form a unique fingerprint.

Cite this