deCODE Discovers a Gene Linked to Risk of Kidney Stones and Osteoporosis
News Jul 09, 2009
A discovery by scientists at deCODE genetics and academic colleagues from Iceland, the Netherlands and Denmark has pointed to a common biological mechanism contributing to both kidney stones and decreased bone mineral density (BMD).
About 60% of the population carry two copies of a single-letter variation in the human genome (SNP) on chromosome 21, putting them at roughly 65% greater likelihood of developing kidney stones than those who carry no copies. This single variant may thus account for more than a quarter of the incidence of kidney stones, and in women carriers it is also associated with decreased BMD at the hip and spine.
The study, which involved the analysis of the genomes of some 50,000 patients and controls, is published in the online edition of Nature Genetics at http://www.nature.com/ng and will appear in upcoming print edition of the journal.
The SNP is in the gene encoding claudin 14 (CLDN14), a protein expressed in the kidney and one of a family of membrane proteins that regulate the passage of ions and small solutes between cells.
As calcium is a key component both of most kidney stones and of bone, the deCODE team examined the relationship between CLDN14 and the metabolism of calcium. The results suggest that the SNP may be contributing to increased calcium excretion in urine, a major risk factor for kidney stones and also a sign of bone loss.
"This is an exciting finding because it uncovers a highly plausible common biological mechanism leading to two diseases. This offers a potentially attractive new pathway for drug discovery, and the next task is to build on our understanding of how this SNP increases risk of these diseases and how this pathway could be targeted therapeutically to address this risk. As ever, deCODEme subscribers will see this new variant in their profiles, and we look forward building on this discovery," said Kari Stefansson, CEO of deCODE.
Chinese researchers have developed interfacially polymerized porous polymer particles for low- abundance glycopeptide separation. These polymer particles - with hydrophilic-hydrophobic heterostructured nanopores - can separate low-abundance glycopeptides from complex biological samples with high-abundance background molecules efficiently.