Opendata, web and dolomites

OPTIMAL-D SIGNED

Development and Application of Mass Spectrometry Methods for Analysis of Optimal Vitamin D

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

Project "OPTIMAL-D" data sheet

The following table provides information about the project.

Coordinator
THE UNIVERSITY OF BIRMINGHAM 

Organization address
address: Edgbaston
city: BIRMINGHAM
postcode: B15 2TT
website: www.bham.ac.uk

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Total cost 277˙940 €
 EC max contribution 277˙940 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2018
 Funding Scheme MSCA-IF-GF
 Starting year 2019
 Duration (year-month-day) from 2019-10-15   to  2022-10-14

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    THE UNIVERSITY OF BIRMINGHAM UK (BIRMINGHAM) coordinator 277˙940.00
2    ANZAC HEALTH AND MEDICAL RESEARCH FOUNDATION AU (CONCORD NSW) partner 0.00

Map

 Project objective

Vitamin D has well-recognised actions on the skeleton, but also exerts potent effects on extra-skeletal tissues. Current approaches to measure vitamin D almost exclusively rely on measuring a single, inactive vitamin D metabolite – 25-hydroxyvitamin D. However, vitamin D undergoes complex metabolism that may strongly influence the physiological impact of vitamin D. This is particularly important for extra-skeletal responses to vitamin D, where tissue-specific metabolites appear to be a crucial component of vitamin D activity. Hence, to better understand the broader role of vitamin D in human health there is an urgent need for new analytical methods that more accurately define optimal levels of vitamin D. The current project will develop state-of-the-art mass spectrometry methods for more comprehensive measurement of vitamin D metabolism in blood and solid tissues. Studies during the outgoing phase of the project will establish more comprehensive LC-MS/MS methods for analysis of classical vitamin D metabolism pathways, as well as alternative metabolic pathways. LC-MS/MS methods will also be developed to measure polymorphic variants of the serum vitamin D binding protein, and thereby enable clearer definition of the bioavailability of vitamin D metabolites. These new methods will initially be validated using a large human cohort at the outgoing phase. Finally, novel MALDI mass spectrometry imaging methods will be developed to visualise vitamin D metabolites in solid tissues. Translational application of each new analytical method will be tested on the return phase of the project through studies of large patient cohorts with both serum and tissue samples (placenta and skin tissues). Further enhancement of analytical methods will be achieved through an industrial secondment that will provide access to cutting-edge equipment. The project will establish an entirely new philosophy and methodology for the measurement of vitamin D biomarkers in health and disease.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "OPTIMAL-D" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "OPTIMAL-D" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.1.3.2.)

IPG_CORE (2019)

Looking for the Impersonal Core -- Impersonal Pronouns across Germanic languages

Read More  

PROSPER (2019)

Politics of Rulemaking, Orchestration of Standards, and Private Economic Regulations

Read More  

DIE_CKD (2019)

Deciphering intrarenal communication to unvail mechanisms of chronic kidney diseases

Read More