Blood test
may predict child obesity risk
London:
Scientists have found that a simple blood test, which reads DNA, can be used to
predict whether a child will become obese.
Researchers
at the Universities of Southampton, Exeter and Plymouth used the test to assess
the levels of epigenetic switches in the PGC1a gene - a gene that regulates fat
storage in the body.
Epigenetic
switches take place through a chemical change called DNA methylation, which
controls how genes work and is set during early life.
The
Southampton team found that the test, when carried out on children at five
years old, differentiates between children with a high body fat and those with
a low body fat when they were older.
Results
showed that a rise in DNA methylation levels of 10 per cent at five years was
associated with up to 12 per cent more body fat at 14 years. Results were
independent of the child's gender, their amount of physical activity and their
timing of puberty.
Dr
Graham Burdge, of the University of Southampton who led the study with
colleague Dr Karen Lillycrop, said, "It can be difficult to predict when
children are very young, which children will put on weight or become
obese." "It is important to know which children are at risk because
help, such as suggestions about their diet, can be offered early and before
they start to gain weight," Burdge said.
"The
results of our study provide further evidence that being overweight or obese in
childhood is not just due to lifestyle, but may also involve important basic
processes that control our genes.
"We
hope that this knowledge will help us to develop and test new ways to prevent
children developing obesity which can be introduced before a child starts to
gain excess weight. However, our findings now need to be tested in larger
groups of children," Burdge said.
The
study, which also involved Professor Terence Wilkin at the University of Exeter
and Dr Joanne Hosking at the University of Plymouth, is published in the
journal Diabetes.
The
researchers used DNA samples from 40 children who took part in the EarlyBird
project, which studied 300 children in Plymouth from the age of five until they
were 14 years old.
Led
by Wilkin, the study assessed the children in Plymouth each year for factors
related to type 2 diabetes, such as the amount of exercise they undertook and
the amount of fat in their body. A blood sample was collected and stored.
The
Southampton team extracted DNA from these blood samples to test for epigenetic
switches.
Source:
www.zeenews.india.com/health
26.04.2014
New tool
calculates your heart's true age
London:
Scientists have developed a new tool that can calculate the true age of your
heart to estimate your risk of developing cardiovascular disease later in life.
The
risk calculator uses current familial and lifestyle risk factors to estimate
the true age of a person's heart.
It
then predicts how many more years an individual can expect to live before they
have a heart attack/stroke compared with someone without these particular
factors - if no corrective action is taken.
According
to new recommendations by researchers from several British medical societies,
published in the BMJ journal Heart, the JBS3 risk calculator can help
healthcare professionals and patients better understand cumulative lifetime
risk of cardiovascular disease (CVD), and what can be done to lower it.
The
calculator takes into account people's current lifestyle, blood pressure,
cholesterol level and medical conditions that may affect the heart.
For
example, a 35 year old woman smoker, with a systolic blood pressure of 160 mm
Hg and a total cholesterol of 7 mmol/l, plus a family history of premature CVD,
would have a true heart age of 47 and expect to survive to the age of 71
without having a heart attack/stroke. Her 10 year risk would be less than 2 per
cent.
However,
if this woman quit smoking, cut her total cholesterol to 4 mmol/l and her
systolic blood pressure to 130 mm Hg, her heart age would fall to 30.
She
could expect to live to the age of 85 before having a heart attack/stroke and
more than halve her 10 year risk to less than 0.25 per cent.
For
the majority of people, the JBS3 risk calculator can show the potential gains
from an early and sustained change to a healthier lifestyle rather than
prescription of drugs, the researchers said.
Lifestyle
changes include quitting smoking, adopting a healthy diet, and boosting the
amount of regular exercise while curbing sedentary activity.
Source:
www.zeenews.india.com/health
26.04.2014
Be tough but look soft, be tense but look cool, be a beginner
but look winner
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