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Background/Aims: Different biochemical abnormalities of metabolic bone disease have been associated with anemia of chronic kidney disease (CKD), mainly in hemodialysis patients. However, all of these abnormalities are closely inter-related and their individual effect on the development of anemia is uncertain. This study was aimed to assess the relationship between anemia and a set of metabolic bone disease biomarkers in a cohort of adult patients with advanced non-dialysis-dependent CKD. Methods: The sample consisted of 382 patients submitted to a Nephrology Unit for evaluation of advanced CKD in a tertiary hospital from Gran Canaria during 3 years. Associations between anemia and serum levels of calcium (albumin-corrected), phosphorus, PTH, 25-hydroxivitamin D (25(OH)D₃) and alkaline phosphatase were analyzed by using logistic regression models with adjustment for other demographic, clinical and biochemical covariates potentially related to anemia and to bone mineral metabolism. Results: Serum levels of calcium and 25(OH)D₃ (negatively) and phosphorus (positively) were significantly associated with anemia in an unadjusted logistic regression model. In a fully adjusted multivariable model, the OR for anemia was 0.29 (95% CI 0.16-0.49; p < 0.0001) for every 1 mg/dl increase in serum calcium and 2.19 (95% CI 1.55-3.15; p < 0.001) for every 1 mg/dl increase in serum phosphorus. Female sex and lower serum albumin levels were also independently associated with anemia. The inclusion of albumin in the adjusted model displaced the significance of 25(OH)D₃. Conclusions: Circulating levels of calcium and phosphorus are strongly linked to anemia in patients with advanced non-dialysis CKD.

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The island of Gran Canaria is regularly affected by dust falls due to its proximity to the Saharan desert. Climatic oscillations may affect the Saharan dust input to the island. Geochemical, mineralogical, and textural analysis was performed on a well-developed and representative early Pleistocene paleosol to examine Saharan dust contribution to Gran Canaria. Significant and variable Saharan dust content was identified in addition to weathering products such as iron oxides and clay minerals. Variations in quartz and iron oxide concentrations in the paleosol likely reflect different Saharan dust input in more/less-contrasted rhexistasic/biostatic climatic conditions. Linking the quartz content in Canarian soils, the Ingenio paleosol, and two Canarian loess-like deposits to different ages from the Quaternary, we hypothesized that the dust input should be lower (about 33–38%) throughout the early to middle Pleistocene than during the late Quaternary. The Saharan dust input to the Gran Canaria profile in the Pleistocene persisted in spite of climatic variations.

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Oceanic islands are dynamic settings that often promote within-island patterns of strong population differentiation. Species with high colonisation abilities, however, are less likely to be affected by genetic barriers, but island size may impact on species genetic structure regardless of dispersal ability. The aim of the present study was to identify the patterns and factors responsible for the structure of genetic diversity at the island scale in Phoenix canariensis, a palm species with high dispersal potential. To this end, we conducted extensive population sampling on the three Canary Islands where the species is more abundant and assessed patterns of genetic variation at eight microsatellite loci, considering different within-island scales. Our analyses revealed significant genetic structure on each of the three islands analysed, but the patterns and level of structure differed greatly among islands. Thus, genetic differentiation fitted an isolation-by-distance pattern on islands with high population densities (La Gomera and Gran Canaria), but such a pattern was not found on Tenerife due to strong isolation between colonised areas. In addition, we found a positive correlation between population geographic isolation and fine-scale genetic structure. This study highlights that island size is not necessarily a factor causing strong population differentiation on large islands, whereas high colonisation ability does not always promote genetic connectivity among neighbouring populations. The spatial distribution of populations (i.e. landscape occupancy) can thus be a more important driver of plant genetic structure than other island, or species' life-history attributes.