During pregnancy, the maternal immune system is challenged by the presence of the fetus, which must be tolerated despite being semiallogeneic. Uterine mucosal (or decidual) macrophages (Mϕ), one of the major leukocyte populations at the fetal–maternal interface, have been implicated in fetal tolerance, but information regarding their regulation is scarce. In this study, we investigated the role of several factors potentially involved in the differentiation and polarization of decidual Mϕ with an in vitro Mϕ differentiation model. By using flow cytometry, we showed that M-CSF and IL-10 were potent inducers of M2 (immunoregulatory) Mϕ markers expressed on human decidual Mϕ (CD14, CD163, CD206, CD209). In contrast, proinflammatory stimuli, and unexpectedly also the Th2-associated IL-4 and IL-13, induced different patterns of expression, indicating that a Th2-dominated environment is not required for decidual Mϕ polarization. M-CSF/IL-10–stimulated and decidual Mϕ also showed similar cytokine secretion patterns, with production of IL-10 as well as IL-6, TNF, and CCL4. Conversely, the proinflammatory, LPS/IFN-γ–stimulated Mϕ produced significantly higher levels of TNF and no IL-10. We also used a gene array with 420 Mϕ-related genes, of which 100 were previously reported to be regulated in a global gene expression profiling of decidual Mϕ, confirming that M-CSF/IL-10–induced Mϕ are closely related to decidual Mϕ. Taken together, our results consistently point to a central role for M-CSF and in particular IL-10 in the shaping of decidual Mϕ with regulatory properties. These cytokines may therefore play an important role in supporting the homeostatic and tolerant immune milieu required for a successful pregnancy.

BackgroundAlthough uterine macrophages are thought to play an important regulatory role at the maternal-fetal interface, their global gene expression profile is not known.Methodology/Principal FindingsUsing micro-array comprising approximately 14,000 genes, the gene expression pattern of human first trimester decidual CD14+ monocytes/macrophages was characterized and compared with the expression profile of the corresponding cells in blood. Some of the key findings were confirmed by real time PCR or by secreted protein. A unique gene expression pattern intrinsic of first trimester decidual CD14+ cells was demonstrated. A large number of regulated genes were functionally related to immunomodulation and tissue remodelling, corroborating polarization patterns of differentiated macrophages mainly of the alternatively activated M2 phenotype. These include known M2 markers such as CCL-18, CD209, insulin-like growth factor (IGF)-1, mannose receptor c type (MRC)-1 and fibronectin-1. Further, the selective up-regulation of triggering receptor expressed on myeloid cells (TREM)-2, alpha-2-macroglobulin (A2M) and prostaglandin D2 synthase (PGDS) provides new insights into the regulatory function of decidual macrophages in pregnancy that may have implications in pregnancy complications.Conclusions/SignificanceThe molecular characterization of decidual macrophages presents a unique transcriptional profile replete with important components for fetal immunoprotection and provides several clues for further studies of these cells.

Norovirus (NoV) is a leading cause of acute gastroenteritis and is often spread via wastewater contamination. Little is known about how the wastewater treatment process affects norovirus, and which factors influence virus concentrations. To investigate this, we collected wastewater samples monthly during one year at eight different key sites at the municipal wastewater treatment plant in Gothenburg, Sweden. Virus particles were concentrated using ultracentrifugation, viral RNA was subsequently extracted, and transformed into cDNA by reverse transcription. The quantification was performed with real-time PCR assays for NoV genogroups I (GGI) and II (GGII), respectively. We found seasonal changes of NoV genogroups, with the highest concentration of NoV GGII during the winter months, and the highest concentration of NoV GGI during the summer months. Virus transmission in wastewater was more stable for NoV GGI, with NoV GGII demonstrating larger seasonal peaks. Virus reduction took place at similar rates in the primary settling, and in the activated sludge in combination with the secondary settling. Different physicochemical parameters and incoming virus concentrations were correlated to reduction of NoV between different treatment sites.This study gives new information about NoV transmission and virus reduction in a wastewater treatment plant.

Keloid disease is a significant clinical problem, especially in black populations, with an estimated incidence of 4-16%. Keloids are fibroproliferative dermal tumors developing as a result of deregulated wound healing. The dynamic nature of keloids is illustrated by clinical regression in the center, while the margin remains active growing into the surrounding healthy skin. Therefore, the gene expression profiles of fibroblasts from different sites of the keloids were characterized using Affymetrix microarrays covering the whole human genome. This study revealed 105 genes that were differentially regulated (79 genes were up-regulated and 26 down-regulated) in a unique gene expression profile in different sites of keloids where progression or regression of the process was in progress. The apoptosis inhibitor AVEN was found to be up-regulated at the active margin of keloids, while apoptosis-inducing genes such as ADAM12 and genes inducing extracellular matrix (ECM) degradation such as matrix metalloproteinase-19 were up-regulated in the regressing keloid center. We identified genes previously not described in the development of keloids. Activating proapoptotic genes or inhibiting ECM-inducing genes as INHBA or monocyte chemoattractant protein-1 might be possible target genes for new treatment strategies for keloid disease.

The Swedish OCTO and NONA immune longitudinal studies were able to identify and confirm an immune risk profile (IRP) predictive of an increased 2-year mortality in very old individuals, 86–94 years of age. The IRP, was associated with persistent cytomegalovirus infection and characterized by inverted CD4/CD8 ratio and related to expansion of terminally differentiated effector memory T cells (TEMRA phenotype). In the present HEXA immune longitudinal study, we have examined a younger group of elderly individuals (n = 424, 66 years of age) in a population-based sample in the community of Jönköping, Sweden, to examine the relevance of findings previously demonstrated in the very old. Immunological monitoring that was conducted included T cell subsets and CMV-IgG and CMV-IgM serology. The result showed a prevalence of 15 % of individuals with an inverted CD4/CD8 ratio, which was associated with seropositivity to cytomegalovirus and increases in the level of TEMRA cells. The proportion of individuals with an inverted CD4/CD8 ratio was significantly higher in men whereas the numbers of CD3+CD4+ cells were significantly higher in women. In conclusion, these findings are very similar to those previously found by us in the Swedish longitudinal studies, suggesting that an immune profile previously identified in the very old also exists in the present sample of hexagenerians. Therefore, it will be important to examine clinical parameters, including morbidity and mortality, to assess whether the immune profile also is a risk profile associated with higher mortality in this sample of hexagenerians.

Nonsecretors were highly susceptible to norovirus GI.3 in a foodborne outbreak.

Early regulators of disease may increase understanding disease mechanisms, and serve as markers for pre-symptomatic diagnosis and treatment. However, early regulators are difficult to identify because patients generally present after they are symptomatic. We hypothesized that early regulators of T-cell associated diseases could be found by identifying upstream transcription factors (TFs) in T-cell differentiation, and by prioritizing hub TFs that were enriched for disease associated This analytical strategy to identify early regulators of disease by combining gene regulatory networks with GWAS may be generally applicable for functional and clinical studies of early disease development.

Personalized medicine requires the integration and processing of vast amounts of data. Here, we propose a solution to this challenge that is based on constructing Digital Twins. These are high-resolution models of individual patients that are computationally treated with thousands of drugs to find the drug that is optimal for the patient.