12 research outputs found
The PREDICTS database: a global database of how local terrestrial biodiversity responds to human impacts
Biodiversity continues to decline in the face of increasing anthropogenic pressures
such as habitat destruction, exploitation, pollution and introduction of
alien species. Existing global databases of species’ threat status or population
time series are dominated by charismatic species. The collation of datasets with
broad taxonomic and biogeographic extents, and that support computation of
a range of biodiversity indicators, is necessary to enable better understanding of
historical declines and to project – and avert – future declines. We describe and
assess a new database of more than 1.6 million samples from 78 countries representing
over 28,000 species, collated from existing spatial comparisons of
local-scale biodiversity exposed to different intensities and types of anthropogenic
pressures, from terrestrial sites around the world. The database contains
measurements taken in 208 (of 814) ecoregions, 13 (of 14) biomes, 25 (of 35)
biodiversity hotspots and 16 (of 17) megadiverse countries. The database contains
more than 1% of the total number of all species described, and more than
1% of the described species within many taxonomic groups – including flowering
plants, gymnosperms, birds, mammals, reptiles, amphibians, beetles, lepidopterans
and hymenopterans. The dataset, which is still being added to, is
therefore already considerably larger and more representative than those used
by previous quantitative models of biodiversity trends and responses. The database
is being assembled as part of the PREDICTS project (Projecting Responses
of Ecological Diversity In Changing Terrestrial Systems – www.predicts.org.uk).
We make site-level summary data available alongside this article. The full database
will be publicly available in 2015
A journey with common fragile sites: From S phase to telophase
International audienc
New serum biochemical markers (Coll 2-1 and Coll 2-1 NO2) for studying oxidative-related type II collagen network degradation in patients with osteoarthritis and rheumatoid arthritis
Objective: Protein nitration is a prominent feature of inflammatory processes in the joint. We have developed immunoassays specific for a peptide of the alpha-helical region of type II collagen (108)HRGYPGLDG(116) (Coll 2-1) and its nitrated form (108)HRGY(NO2)PGLDG(116) (Coll 2-1 NO2) in biological fluids. Design: Coll 2-1 and Coll 2-1 NO2 peptides were injected into rabbits. Two antisera (D3 and D37) were selected for their specificity and affinity and used to develop specific immunoassays. Coll 2-1 and Coll 2-1 NO2 were measured in sera of 242 healthy subjects (N), 67 patients with primary knee osteoarthritis (OA) and 19 patients with rheumatoid arthritis (RA). Results: In healthy subjects, Coll 2-1 and Coll 2-1 NO2 concentrations were 125.13 +/- 3.71 nM and 0.16 +/- 0.08 nM, respectively. In OA and RA, Coll 2-1 and Coll 2-1 NO2 serum levels were found to be significantly increased compared to controls of the same range of age (Coll 2-1: OA: 200.80 +/- 8.98 nM, RA: 172.30 +/- 19.05 nM, normal: 126.60 +/- 6.70 nM and Coll 2-1 NO2: OA: 0.26 +/- 0.02, RA: 0.38 +/- 0.05, normal: 0.12 +/- 0.01 nM). Coll 2-1 NO2 levels were significantly more elevated in RA than in OA patients (P < 0.05). As a consequence, the ratio Coll 2-1 NO2/Coll 2-1 was 1.6 times higher in RA than in OA subjects. No relationship was found between the radiological OA severity and the levels of Coll 2-1 and Coll 2-1 NO2 in serum. Coll 2-1 NO2, but not Coll 2-1, was correlated with C-reactive protein in the sera of OA and RA patients. Conclusions: The determination of both Coll 2-1 and Coll 2-1 NO2 in serum of arthritic patients seems to be a promising useful tool for the detection of oxidative-related cartilage degradation episode. Further, these markers could be helpful for monitoring the effects of anti-inflammatory or antioxidant drugs on cartilage degradation. (c) 2004 OsteoArthritis Research Society International. Published by Elsevier Ltd. All rights reserved