Since the 2009 discovery that energy-burning brown fat can be active in
adults, research has raced ahead to understand this tissue and exploit it to
treat the epidemic of obesity. Active brown fat also may assist in directly
easing the burden of diabetes and related metabolic diseases by lowering the
levels of glucose and fatty acids in the bloodstream. But progress in studying
human brown fat often has been slowed by difficulties in obtaining and studying
samples of the human cells that develop into brown fat.
Now, however, a team of researchers led by Yu-Hua Tseng, Ph.D.,
Investigator in the Section on Integrative Physiology and Metabolism at Joslin
Diabetes Center and an Associate Professor of Medicine at Harvard Medical
School, has created cell lines of human brown and white fat precursor cells that
will help investigators to pick apart the factors that drive the development and
activity of each type of cell.
"We can take human brown fat precursor cells, grow them in Petri dishes and
then culture them to become energy-dissipating cells," says Dr. Tseng. "This
cellular system provides a very important and exciting tool for understanding
the biology of human brown fat tissue. It also offers a really nice system for
drug screening."
The cell lines will allow scientists to study gene expression in precursor
brown fat and white fat cells, and in the mature fat cells these cells create.
Such analyses will improve our understanding of how brown fat cells develop and
are regulated in the body -- and, potentially, how to transform the precursors
of white fat cells into brown fat cells instead, says Dr. Tseng.
As the Joslin team reports in the journal Nature Medicine, the work began
with taking samples of both brown and white precursor cells from four human
subjects and genetically modifying these cells to "immortalize" them for long
life in a Petri dish. The cells also were given a fluorescent marker to show
activation of the UCP1 gene, the best known molecular indicator of how much
energy a fat cell burns. The researchers then could induce the precursor cells
to become mature fat cells and characterize the results.
After analyzing gene expression signatures in the precursor cells, the
investigators demonstrated that they could reliably predict UCP1 expression in
the resulting mature cells. They took an extra step to verify such predictions
by examining the roles of two genes important in brown fat regulation known as
PREX1 and EDRNB. When they used a genomic editing technique known as CRISPR/Cas9
to knock down the expression of these genes in precursor cells, the expression
of UCP1 did indeed drop in the subsequent mature cells.
The scientists also found that a protein known as CD29 acts as a
cell-surface marker for precursor fat cells that can generate mature cells with
high energy potential, as shown by their UCP1 expression.
Detection of this CD29 marker eventually may help in selecting white fat
precursor cells that can be transformed for obesity treatments, Dr. Tseng
comments.
Using white fat tissue from liposuction or weight-loss surgery, "we might
purify a population of these progenitor cells from an obese individual
expressing C29 with high potential to become energy-dissipating cells," she
explains. "We could purify these cells, expand them in vitro, turn them into
brown fat cells and then put them back into the patient, and the patient
wouldn't have to worry about immune rejection of these cells."
Previous studies had highlighted differences in brown fat metabolism
between individuals and between various brown fat depots in an individual.
Unsurprisingly, the latest research highlights this heterogeneity.
In one example, Dr. Tseng's group previously had shown that exposing
precursor white fat cells to a protein known as BMP7 helps to spur the creation
of brown fat cells. In analyses of the cell lines, precursor white fat cells
from two subjects responded strongly to BMP7 but such cells from the other two
subjects did not.
Despite such variations across individuals, Dr. Tseng emphasizes that her
team's work underlines the high promise of energy-burning brown fat. "Our data
eventually will help us to develop the best treatment for each patient," she
says.
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