Kainic acid lesioning of the preoptic area alters positive feedback of estrogen in prepubertal female rats

Stereotaxic infusion of kainic acid (KA) was performed to induce intrinsic neural lesions of the preoptic area (POA) in 25-day-old female rats. After KA infusion, rats in Experiment 1 received 10 micrograms of estradiol benzoate (EB) administered subcutaneously to assess positive feedback of EB on release of luteinizing hormone (LH) from the pituitary gland. Rats were perfused for light microscopic (LM) or electron microscopic (EM) evaluation of the lesion site. Rats of Experiment 2 were allowed to develop until the appearance of vaginal opening (VO) after which time vaginal lavages were taken to monitor the cyclicity of the vaginal epithelium. At 50 days of age, the right ovary from each rat was removed, trimmed of fat, and weighed. At 60 days of age, the remaining ovary was removed to assess compensatory ovarian hypertrophy (COH). In Experiment 3, we investigated the effects of POA/KA-infusion on sexual behavior. Sex behavior tests were conducted at 48 h after EB during the dark phase of the light cycle. In Experiment 1, all the control and saline-infused rats exhibited the expected rise of plasma LH two days after estrogen injection while the POA/KA-infusion abolished the positive feedback effect of EB on LH release. Ultrastructural examination of the lesion site revealed that neurons were undergoing acute degeneration while axons and afferent terminals seen in the same fields of analysis were morphologically intact. Preoptic area/KA lesions caused a marked delay in the appearance of VO. Duration of this temporal delay in POA/KA-lesioned rats was approximately 4 days, or one vaginal cycle. The lesioned animals showed normal compensatory hypertrophy after unilateral ovariectomy.(ABSTRACT TRUNCATED AT 250 WORDS)     

Build-UPS and break-downs: metabolism impacts on proteostasis and aging

Perturbation of metabolism elicits cellular stress which profoundly modulates the cellular proteome and thus protein homeostasis (proteostasis). Consequently, changes in the cellular proteome due to metabolic shift require adaptive mechanisms by molecular protein quality control. The mechanisms vitally controlling proteostasis embrace the entire life cycle of a protein involving translational control at the ribosome, chaperone-assisted native folding, and subcellular sorting as well as proteolysis by the proteasome or autophagy. While metabolic imbalance and proteostasis decline have been recognized as hallmarks of aging and age-associated diseases, both processes are largely considered independently. Here, we delineate how proteome stability is governed by insulin/IGF1 signaling (IIS), mechanistic target of Rapamycin (TOR), 5′ adenosine monophosphate-activated protein kinase (AMPK), and NAD-dependent deacetylases (Sir2-like proteins known as sirtuins). This comprehensive overview is emphasizing the regulatory interconnection between central metabolic pathways and proteostasis, indicating the relevance of shared signaling nodes as targets for future therapeutic interventions.Subject terms: Protein quality control, Metabolic pathways, Ageing     

cAMP-dependent protein kinase I, a unique allosteric enzyme

cAMP-dependent protein kinases are known to be activated by dissociation. There are two types of these enzymes in the mammalian cytosol with similar catalytic subunits but regulatory subunits. With enzymes of type I, ATP counteracts the activation by cAMP. Recent studies of the binding sites of these enzymes for these ligands are reviewed.     

Short-term effects of controlled mating and selection on the genetic variance of honeybee populations

Directional selection in a population yields reduced genetic variance due to the Bulmer effect. While this effect has been thoroughly investigated in mammals, it is poorly studied in social insects with biological peculiarities such as haplo-diploidy or the collective expression of traits. In addition to the natural adaptation to climate change, parasites, and pesticides, honeybees increasingly experience artificial selection pressure through modern breeding programs. Besides selection, many honeybee breeding schemes introduce controlled mating. We investigated which individual effects selection and controlled mating have on genetic variance. We derived formulas to describe short-term changes of genetic variance in honeybee populations and conducted computer simulations to confirm them. Thereby, we found that the changes in genetic variance depend on whether the variance is measured between queens (inheritance criterion), worker groups (selection criterion), or both (performance criterion). All three criteria showed reduced genetic variance under selection. In the selection and performance criteria, our formulas and simulations showed an increased genetic variance through controlled mating. This newly described effect counterbalanced and occasionally outweighed the Bulmer effect. It could not be observed in the inheritance criterion. A good understanding of the different notions of genetic variance in honeybees, therefore, appears crucial to interpreting population parameters correctly.Subject terms: Bioinformatics, Genetic models, Quantitative trait, Animal breeding, Genetic variation