name is Naveed Sattar.
I am professor of metabolic medicine
at the University of Glasglow,
and I am going to give you an
overview of diabetes biomarkers.
So biomarkers, what are they?
And what are they for?
Biomarkers are really any measure,
whether it's biological material
or even a clinical
gives you insight
into either disease,
pathogenesis, prediction of
complications or progression
of follow up. Or it can
actually give you an insight
into the response of an
individual to a particular therapy
So biomarkers can range from simple
things such as age, social class,
but of course, most people
understand the term biomarkers
in terms of some blood measure
or some biochemical parameter,
for example, cholesterol or glucose.
If we take cardiovascular disease
as an example of how they have used
biomarkers, well, we
are now at a point
where we know that age, blood
pressure, smoking, gender, lipids,
and the presence of diabetes gives
insight into cardiovascular risk.
And from this, we have developed
cardiovascular risk scores,
ranging from the original
Framingham risk scores
through to the risk score in Europe,
as well as more sophisticated risk
scores which have added other
potential parameters which we
will discuss in the
next couple of slides.
There is big-scale epidemiology
on these routine biomarkers
in cardiovascular disease
in terms of prediction.
And some of the lessons we have
learned from cardiovascular disease
in terms of predicting disease
are relevant to diabetes research.