Effect of circadian system disruption on the concentration and daily oscillations of cortisol, progesterone, melatonin, serotonin, growth hormone, and core body temperature in periparturient dairy cattle

There are known sex specific differences in fetal and neonatal morbidity and mortality. There are also known differences in birthweight centile with males generally being larger than females at birth. These differences are generally ignored when studying obstetric complications of pregnancy and the mechanisms that confer these differences between the sexes are unknown. Current evidence suggests sex specific adaptation of the placenta may be central to the differences in fetal growth and survival. Our research examining pregnancies complicated by asthma has reported sexually dimorphic differences in fetal growth and survival with males adapting placental function to allow for continued growth in an adverse maternal environment while females reduce growth in an attempt to survive further maternal insults. We have reported sex differences in placental cytokine expression, insulin-like growth factor pathways and the placental response to cortisol in relation to the complication of asthma during pregnancy. More recently we have identified sex specific alterations in placental function in pregnancies complicated by preterm delivery which were associated with neonatal outcome and survival. We propose the sexually dimorphic differences in growth and survival of the fetus are mediated by the sex specific function of the human placenta. This review will present evidence supporting this hypothesis and will argue that to ignore the sex of the placenta is no longer sound scientific practice. Crown Copyright 2010. Published by Elsevier Ltd. All rights reserved.

A brief overview is provided of cosinor-based techniques for the analysis of time series in chronobiology. Conceived as a regression problem, the method is applicable to non-equidistant data, a major advantage. Another dividend is the feasibility of deriving confidence intervals for parameters of rhythmic components of known periods, readily drawn from the least squares procedure, stressing the importance of prior (external) information. Originally developed for the analysis of short and sparse data series, the extended cosinor has been further developed for the analysis of long time series, focusing both on rhythm detection and parameter estimation. Attention is given to the assumptions underlying the use of the cosinor and ways to determine whether they are satisfied. In particular, ways of dealing with non-stationary data are presented. Examples illustrate the use of the different cosinor-based methods, extending their application from the study of circadian rhythms to the mapping of broad time structures (chronomes).

Circadian rhythms are 24-hr oscillations that control a variety of biological processes in living systems, including two hallmarks of cancer, cell division and metabolism. Circadian rhythm disruption by shift work is associated with greater risk for cancer development and poor prognosis, suggesting a putative tumor-suppressive role for circadian rhythm homeostasis. Using a genetically engineered mouse model of lung adenocarcinoma, we have characterized the effects of circadian rhythm disruption on lung tumorigenesis. We demonstrate that both physiologic perturbation (jet lag) and genetic mutation of the central circadian clock components decreased survival and promoted lung tumor growth and progression. The core circadian genes Per2 and Bmal1 were shown to have cell-autonomous tumor-suppressive roles in transformation and lung tumor progression. Loss of the central clock components led to increased c-Myc expression, enhanced proliferation, and metabolic dysregulation. Our findings demonstrate that both systemic and somatic disruption of circadian rhythms contribute to cancer progression.