INVESTIGADORES
GARGIULO MONACHELLI Gisella Mariana
artículos
Título:
Experimental and clinical evidence for the protective role of progesterone in motoneuron degeneration and neuroinflammation
Autor/es:
GONZALEZ DENISELLE M.C; GARAY L; MEYER M; GARGIULO MONACHELLI GM; LABOMBARDA F; GONZALEZ SL; GENNOUN R; SCHUMACHER M; DE NICOLA AF
Revista:
hormone molecular biology and clinical investigation
Editorial:
De Gruyter
Referencias:
Año: 2011 p. 403 - 411
ISSN:
1868-1891
Resumen:
Far beyond its role in reproduction, progesterone exerts
neuro protective, promyelinating, and anti-infl ammatory
effects in the nervous system. These effects are amplifi ed
under pathological conditions, implying that changes of the
local environment sensitize nervous tissues to steroid therapy.
The present survey covers our results of progesterone neuroprotection
in a motoneuron neurodegeneration model and
a neuroinfl ammation model. In the degenerating spinal cord
of the Wobbler mouse, progesterone reverses the impaired
expression of neurotrophins, increases enzymes of neurotransmission
and metabolism, prevents oxidative damage of
motoneurons and their vacuolar degeneration (paraptosis), and
attenuates the development of mitochondrial abnormalities.
After long-term treatment, progesterone also increases muscle
strength and the survival of Wobbler mice. Subsequently,
this review describes the effects of progesterone in mice with
induced experimental autoimmune encephalomyelitis (EAE),
a commonly used model of multiple sclerosis. In EAE mice,
progesterone attenuates the clinical severity, decreases demyelination
and neuronal dysfunction, increases axonal counts,
reduces the formation of amyloid precursor protein profi les,
and decreases the aberrant expression of growth-associated
proteins. These actions of progesterone may be due to
multiple mechanisms, considering that classic nuclear receptors,
extranuclear receptors, and membrane receptors are all
expressed in the spinal cord. Although many aspects of progesterone
action in humans remain unsolved, data provided
by experimental models makes getting to this objective closer
than previously expected.