INVESTIGADORES
GENARO Ana Maria
artículos
Título:
Differential effect of hyperglycaemia on the immune response in an experimental model of diabetes in BALB/cByJ and C57Bl/6J mice: participation of oxidative stress.
Autor/es:
MARA ROXANA RUBINSTEIN GUICHÓN; ANA MARÍA GENARO; MIRIAM RUTH WALD
Revista:
CLINICAL AND EXPERIMENTAL IMMUNOLOGY
Editorial:
WILEY-BLACKWELL PUBLISHING, INC
Referencias:
Lugar: Londres; Año: 2013 vol. 171 p. 319 - 329
ISSN:
0009-9104
Resumen:
Diabetes is associated with an increased risk of death from infectious
disease. Hyperglycaemia has been identified as the main factor
contributing to the development of diseases associated with diabetes
mellitus. However, experimental evidence indicates individual
susceptibility to develop complications of diabetes. In this context,
the aim of this work was to study the immune response in a
streptozotocin-induced type 1 diabetes in two mouse strains: BALB/cByJ
and C57Bl/6J. The participation of hyperglycaemia and oxidative stress
was also analysed. Diabetic BALB/cByJ mice showed a decrease in both the
in-vivo and in-vitro immune responses, whereas
diabetic C57Bl/6J mice had higher blood glucose but exhibited no
impairment of the immune response. The influence of hyperglycaemia over
the immune response was evaluated by preincubation of lymphocytes from
normal mice in a high glucose-containing medium. T and B cells from
BALB/cByJ mice showed a decrease in cell viability and
mitogen-stimulated proliferation and an increase in apoptosis induction.
An increase in oxidative stress was implicated in this deleterious
effect. These parameters were not affected in the T and B lymphocytes
from C57Bl/6J mice. In conclusion, BALB/cByJ mice were sensitive to the
deleterious effect of hyperglycaemia, while C57BL/6J were resistant.
Although an extrapolation of these results to clinical conditions must
be handled with caution, these results highlight the need to contemplate
the genetic background to establish models to study the deleterious
effect of diabetes in order to understand phenotypical variations that
are of clinical importance in the treatment of patients.