Challenges implicit to gene discovery research in the control of ventilation during hypoxia

Key components of the mode of action for hemangiosarcoma induction in pregabalin-treated mice: evidence of increased bicarbonate, dysregulated erythropoiesis, macrophage activation, and increased angiogenic growth factors in mice but not in rats

In carcinogenicity studies, pregabalin increased hemangiosarcoma incidence in mice but not in rats. Investigative studies, ranging in length from 24 h to 12 months, were conducted in mice (1000 or 5000 mg/kg) and rats (900 mg/kg) to evaluate a potential mode-of-action scheme for tumor formation. Three areas were evaluated: (1) hematopoiesis (because endothelial and hematopoietic cells arise from the same precursor and hemangiosarcomas are primarily located in mouse hematopoietic tissues), (2) angiogenic growth factors (because increased angiogenic growth factors may stimulate vascular tumors), and (3) pulmonary/blood gas parameters (because hypoxia is a known driver for endothelial cell proliferation). In mice, pregabalin rapidly increased platelet and megakaryocyte counts, activated platelets and bone marrow erythrophages, decreased the myeloid-to-erythroid (M:E) ratio (49%), and produced bone marrow and splenic congestion and extramedullary hematopoiesis (EMH). Vascular endothelial growth factor (VEGF) and basic fibroblast growth factor immunohistochemical staining were also increased in mouse bone marrow and spleen and vascular endothelial growth factor receptor 2 immunolabeling was increased in liver. Serum bicarbonate was increased within 24 h of pregabalin administration, persisted over time, and was accompanied by decreased respiratory rate (up to 34%) and increased partial pressure of carbon dioxide (pCO(2)), resulting in sustained metabolic alkalosis and elevated blood pH in mice. In contrast, in rats, pregabalin decreased overall bone marrow cellularity, including decreased number of megakaryocytes (24%) with no evidence of erythrophages, no change in M:E ratio, no EMH, and no increase in angiogenic growth factors or blood pH. Persistent alterations in serum bicarbonate, respiratory function, and blood gas parameters in mice, without adequate compensatory mechanisms, has the potential to create chronic tissue hypoxia, an accepted driver of endothelial cell proliferation.

The acute hypoxic ventilatory response: testing the adaptive significance in human populations

The acute Hypoxic Ventilatory Response (HVR) is an important component of human hypoxia tolerance, hence presumably physiological adaptation to high altitude. We measured the isocapnic HVR (L min(-1) %(-1)) in two genetically divergent low altitude southern African populations. The HVR does not differ between African Xhosas (X) and Caucasians (C) (X:-0.34+/-0.36; C:-0.42+/-0.33; P > 0.34), but breathing patterns do. Among all Xhosa subjects, size-independent tidal volume was smaller (X: 0.75+/-0.20; C: 1.11+/-0.32 L; P < 0.01), breathing frequency higher (X: 22.2+/-5.7; C: 14.3+/-4.2 breaths min(-1); P < 0.01) and hypoxic oxygen saturation lower than among Caucasians (X: 78.4+/-4.7%; C: 81.7+/-4.7%; P < 0.05). The results remained significant if subjects from Xhosa and Caucasian groups were matched for gender, body mass index and menstrual cycle phase in the case of females. The latter also employed distinct breathing patterns between populations in normoxia. High repeatability (intra-class correlation coefficient) of the HVR in both populations (0.77-0.87) demonstrates that one of the prerequisites for natural selection, consistent between-individual variation, is met. Finally, we explore possible relationships between inter-population genetic distances and HVR differences among Xhosa, European, Aymara Amerindians, Tibetan and Chinese populations. Inter-population differences in the HVR are not attributable to genetic distance (Mantel Z-test, P = 0.59). The results of this study add novel support for the hypothesis that differences in the HVR, should they be found between other human populations, may reflect adaptation to hypoxia rather than genetic divergence through time.

Functional genomics and the comparative physiology of hypoxia

Comparative physiology has proven a powerful approach to our understanding of how animals function under hypoxic conditions and to identifying potential adaptations to environmental oxygen levels. This review considers the potential for using a similar comparative approach with functional genomics to understand the genetic basis of such physiological processes and evolutionary adaptations. Comparative functional genomics is currently limited by genome data, which are available for only a few model organisms. However, comparative studies between model organisms of the same species having slightly different genomes (e.g., in-bred strains of laboratory rodents, transgenic mice, and consomic rats) demonstrate the types of results, as well as the analytical challenges, that are possible if comparative functional genomics is applied to more species. Results from wild and domestic animal studies suggest new models to investigate physiological and evolutionary responses to oxygen levels with functional genomics.

Genomic approaches to understanding obstructive sleep apnea

Obstructive sleep apnea (OSA) is an increasingly recognized, common chronic disease in the developed nations and is a complex disease that has high social and economic costs. OSA and its associated 'intermediate' phenotypes-craniofacial structure, body fat distribution and metabolism, and neurological control of the upper airway muscles and of sleep and circadian rhythm-are under a substantial degree of genetic control. Investigating the genetic aetiology of OSA offers a means of better understanding its pathogenesis, with the goal of improving preventive strategies, diagnostic tools and therapies. Molecular studies of OSA itself are in their infancy, but considerable effort and expense has already been expended in attempts to detect genetic loci contributing to OSA-associated intermediate phenotypes, such as obesity. However, many of the fundamental questions relating to the genetic epidemiology of OSA and associated factors remain unanswered. This chapter reviews the current state of knowledge of the genetics of OSA, with a focus on genomic approaches to understanding sleep disorders.