The processes of bone formation and resorption can be monitored in viv
o by measuring enzymes and other protein products released by osteobla
sts and osteoclasts respectively. The major validated biochemical mark
ers of bone formation currently in use include the bone isoenzyme of a
lkaline phosphatase, osteocalcin (also known as BGP, bone Gla protein)
and propeptides derived from the N or C terminal ends of the Type I p
rocollagen molecule. The most useful markers of bone resorption are br
eakdown products of Type I collagen. The longest established of these
is the measurement in urine of hydroxyproline in collagen peptides, bu
t the assays are cumbersome. Furthermore, hydroxyproline is not specif
ic to bone collagen a nd is a Iso derived from the diet. There is ther
efore much current interest in collagen products that are more specifi
c to bone, including galactosyl hydroxylysine, and the collagen crossl
inks, pyridinoline and deoxypyridinoline. The pyridinolines and peptid
es derived from crosslinked regions in collagens appear to be the most
promising markers of resorption and enable quantitative evaluation of
rates of bone resorption in man. These biochemical methods are of use
in the diagnosis and evaluation of bone diseases, in population studi
es, and for monitoring responses to hormones and drugs in clinical stu
dies. It is important to remember that individual markers reflect diff
erent biochemical and physiological processes and may not, therefore,
always show identical changes. There is an increasing amount of work b
eing devoted to the study of bone biomarkers in osteoporosis. In popul
ation studies biochemical measurements may predict rates of bone loss
and occurrence of fractures. However their value in the diagnosis and
management of individual patients is less clear, partly because of the
considerable biological and analytical variation in their measurement
. There are exciting challenges ahead for improvements in technical me
thods and for the use of new markers derived from bone cells and bone
matrix.