Phosphatidylinostitol-3 kinase and phospholipase C enhance CSF-1-dependent macrophage survival by controlling glucose uptake

Colony stimulating factor-1 (CSF-1)-dependent macrophages play crucial roles in the development and progression of several pathological conditions including atherosclerosis and breast cancer metastasis. Macrophages in both of these pathologies take up increased amounts of glucose. Since we had previously shown that CSF-1 stimulates glucose uptake by macrophages, we have now investigated whether glucose metabolism is required for the survival of CSF-1-dependent macrophages as well as examined the mechanism by which CSF-1 stimulates glucose uptake. Importantly, we found that CSF-1-induced macrophage survival required metabolism of the glucose taken up in response to CSF-1 stimulation. Kinetic studies showed that CSF-1 stimulated an increase in the number of glucose transporters at the plasma membrane, including Glut1. The uptake of glucose induced by CSF-1 required intact PI3K and PLC signalling pathways, as well as the downstream effectors Akt and PKC, together with a dynamic actin cytoskeleton. Expression of constitutively active Akt partially restored glucose uptake and macrophage survival in the absence of CSF-1, suggesting that Akt is necessary but not sufficient for optimal glucose uptake and macrophage survival. Taken together, these results suggest that CSF-1 regulates macrophage survival, in part, by stimulating glucose uptake via Glut1, and PI3K and PLC signalling pathways. © 2009 Elsevier Inc

Hypoxia prolongs monocyte/macrophage survival and enhanced glycolysis is associated with their maturation under aerobic conditions

In chronic inflammatory lesions macrophages are abundant and adapt to the low oxygen concentrations often present there. In low oxygen some cell types die by apoptosis, as reported for macrophage cell lines, while others survive better as they shift their metabolism to anaerobic glycolysis. It was found here that hypoxia prolongs the survival of murine bone marrow-derived macrophages, either in the absence or presence of low CSF-1 (M-CSF) concentrations. Although Akt activity increased in bone marrow-derived macrophages in the low oxygen conditions, the levels of both anti- and proapoptotic Bcl-2 family members decreased. Glycolysis was enhanced as judged by increased glucose uptake, glucose transporter expression, lactate dehydrogenase mRNA expression, and lactate secretion. Human monocytes responded similarly to low oxygen, and a number of genes associated with glycolysis were shown by microarray analysis and quantitative PCR to be up-regulated. Interestingly, human monocytederived macrophages showed evidence of enhanced glycolysis even under aerobic conditions. It is proposed that certain monocyte/macrophage populations survive better under conditions of low oxygen, thereby contributing to their increased numbers at sites of chronic inflammation and tumors; it is also proposed that as macrophages differentiate from monocytes they begin to adopt a glycolytic metabolism allowing them to adapt readily when exposed to low oxygen conditions. Copyright © 2009 by The American Association of Immunologists, Inc

Scaling properties and symmetrical patterns in the epidemiology of rotavirus infection.

The rich epidemiological database of the incidence of rotavirus, as a cause of severe diarrhoea in young children, coupled with knowledge of the natural history of the infection, can make this virus a paradigm for studies of epidemic dynamics. The cyclic recurrence of childhood rotavirus epidemics in unvaccinated populations provides one of the best documented phenomena in population dynamics. This paper makes use of epidemiological data on rotavirus infection in young children admitted to hospital in Melbourne, Australia from 1977 to 2000. Several mathematical methods were used to characterize the overall dynamics of rotavirus infections as a whole and individually as serotypes G1, G2, G3, G4 and G9. These mathematical methods are as follows: seasonal autoregressive integrated moving-average (SARIMA) models, power spectral density (PSD), higher-order spectral analysis (HOSA) (bispectrum estimation and quadratic phase coupling (QPC)), detrended fluctuation analysis (DFA), wavelet analysis (WA) and a surrogate data analysis technique. Each of these techniques revealed different dynamic aspects of rotavirus epidemiology. In particular, we confirm the existence of an annual, biannual and a quinquennial period but additionally we found other embedded cycles (e.g. ca. 3 years). There seems to be an overall unique geometric and dynamic structure of the data despite the apparent changes in the dynamics of the last years. The inherent dynamics seems to be conserved regardless of the emergence of new serotypes, the re-emergence of old serotypes or the transient disappearance of a particular serotype. More importantly, the dynamics of all serotypes is multiple synchronized so that they behave as a single entity at the epidemic level. Overall, the whole dynamics follow a scale-free power-law fractal scaling behaviour. We found that there are three different scaling regions in the time-series, suggesting that processes influencing the epidemic dynamics of rotavirus over less than 12 months differ from those that operate between 1 and ca. 3 years, as well as those between 3 and ca. 5 years. To discard the possibility that the observed patterns could be due to artefacts, we applied a surrogate data analysis technique which enabled us to discern if only random components or linear features of the incidence of rotavirus contribute to its dynamics. The global dynamics of the epidemic is portrayed by wavelet-based incidence analysis. The resulting wavelet transform of the incidence of rotavirus crisply reveals a repeating pattern over time that looks similar on many scales (a property called self-similarity). Both the self-similar behaviour and the absence of a single characteristic scale of the power-law fractal-like scaling of the incidence of rotavirus infection imply that there is not a universal inherently more virulent serotype to which severe gastroenteritis can uniquely be ascribed

Comparison of rotavirus immunoglobulin A coproconversion with other indices of rotavirus infection in a longitudinal study in childhood.

In order to determine the sensitivity and reliability of antirotaviral fecal immunoglobulin A (IgA) as an indicator of rotavirus reinfection, the antibody responses to rotavirus of 44 infants with severe rotavirus gastroenteritis recruited on admission to a hospital were studied. Feces were collected daily during hospitalization and weekly thereafter, and sera were obtained every 4 months, for 6 to 32 months (median, 17 months). Antirotaviral IgG, IgA, and IgM were measured by enzyme immunoassay in all samples. Rotavirus antigen, rotavirus-neutralizing antibody, and total IgA were measured in feces. The results showed that use of an IgA index (ratio of specific IgA to total IgA) was unnecessary to identify copro-IgA conversion to rotavirus. The other markers of rotavirus infection tested showed a high level of predictive accuracy of coproconversion in rotavirus-neutralizing antibody. Copro-IgM, serum IgM, and virus in feces were insensitive measures of neutralizing antibody coproconversion. Seroconversion in IgG or IgA was detected in 46% of neutralizing coproconversions. The most sensitive marker, present in 92% of neutralizing coproconversions, was antirotaviral fecal IgA conversion. This correlation of fecal IgA with fecal neutralizing antibody suggests that coproconversions in IgA represent true elevations in antirotaviral IgA with neutralizing capacity. A coproconversion in IgA appears to indicate genuine rotavirus infection. Copro-IgA conversions in feces collected weekly are likely to be more sensitive markers of rotavirus reinfection than are seroconversion and virus detection combined in epidemiological studies of acute diarrhea in children and in rotavirus vaccine trials