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      Infection, inflammation and colon carcinogenesis

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      Oncotarget
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          Abstract

          The importance of chronic inflammation as a risk factor for major cancers is well documented [1], and the inflammatory state is known to involve contributions of both adaptive and innate immune components. In a recent publication [2] we describe an experimental animal model in which infection, inflammation and cancer are mechanistically linked, and provide evidence that chemical mediators of the innate immune system and bacterial toxins both play key roles in driving colon carcinogenesis. In this model, epithelial injury caused by Helicobacter hepaticus infection enhances access of bacterially-associated products to pattern-recognition receptors located on surfaces of macrophages and dendritic cells. Receptor ligation leads to activation of transcription factors, including NF-kappa B, that regulate production of chemo-attractants for macrophages and neutrophils, recruitment of which is a hallmark of inflammation. These acute inflammatory events are re-enforced by expression of powerful inflammatory mediators such as TNF-α and IL-2, which amplify acute inflammatory gene expression and enhance cell survival. If not properly extinguished, the innate inflammatory response is maintained and further amplified by activation of cell-mediated adaptive immunity. There is now strong evidence that biomolecular damage found in inflamed tissues is caused by a battery of highly reactive oxygen and nitrogen species capable of damaging all classes of biomolecules. Reactive species are generated mainly by activated macrophages and neutrophils, but can also be produced at functionally significant levels endogenously within epithelial cells themselves [3, 4]. In an earlier investigation [5], we identified the critical importance of NO and neutrophils in the carcinogenic process, and in our recent study [2] we demonstrated that neutrophils contribute to DNA damage through myeloperoxidase-driven formation of hypochlorous acid and the subsequent formation of 5-chlorodeoxycytosine. These chemicals and reaction products derived from them cause injury, death and mutation to cells in their immediate environment, the ultimate result being intensification of damage inflicted by the inflammatory process. What we have also learned from recent studies is that cell death and genotoxicity in this environment are not induced solely by chemicals arising from immune cells or epithelial cells, but that these effects are augmented by bacterial toxins (e.g., cytolethal distending toxin in H. hepaticus) that cause DNA strand breaks, inhibit ATM-dependent response pathways, and suppress repair of DNA adducts [6, 7]. Concurrence of the two mechanisms of DNA damage and compensatory increases in cell replication creates a perfect storm of conditions enhancing the probability of neoplastic transformation. Inflammation associated with infections can occur over protracted periods of time. DNA damage induced as a result of inflammation is potently mutagenic, and infection followed by inflammation is a biologically plausible scenario that could explain the abundant mutations observed in some human tumors. Inflammatory bowel disease (IBD), which is known to be associated with increased cancer risk, is particularly relevant to our continuing efforts to elucidate mechanisms underlying these interactions. IBD results from intermittent and severe activation of the mucosal immune system in the gastrointestinal tract to promote chronic inflammation. Infiltration of gut tissue by lymphocytes, neutrophils, and macrophages results in prolonged exposure to pro-inflammatory cytokines and to highly reactive chemical species that induce oxidation, nitration and chlorination of DNA, RNA and proteins. Secondary effects also result from oxidation of unsaturated lipids, creating a cascade of highly reactive unsaturated carbonyls, which also damage DNA, RNA, and proteins. Chronic exposure to products of inflammation can thus result in chemical damage to all classes of cellular macromolecules, altered protein expression, and dysregulated cell proliferation. Current theories cite the intestinal microbiome in IBC as a central driver of both inflammation and subsequent development of dysplasia in genetically-predisposed individuals, acting similarly in experimental models involving mice with immune dysregulation. These processes appear likely to be associated with the pathogenesis of cancer development. Interestingly, other investigators recently identified a genetic locus, Hiccs, part of a 1.71-Mb interval on chromosome 3, as a major susceptibility locus for H. hepaticus-induced colitis and colon cancer in H. hepaticus-infected 129 Rag−/− mice also treated with azoxymethane [8]. This locus controls induction of the innate inflammatory response by regulating cytokine production and granulocyte recruitment by Thy1+ innate lymphoid cells. Analogous pathways may be operable in IBD and associated colorectal cancers in humans. While alterations of the intestinal microbiome have been described in IBD patients, with suggestions that particular species may be associated with ileal Crohn's disease, no individual bacterial species or groups have been consistently associated with either colonic Crohn's disease or ulcerative colitis. Likewise, the role that microbial biomolecular activity may play in these diseases remains unknown. Metabolomic analysis of fecal water from patients with these diseases has identified microbial population shifts suggesting that functional capacity may be more critical than microbial membership [9]. While chronic inflammation is widely thought to be a critical factor, biomolecular pathways implicated in the development of IBD-associated colon cancer remain incompletely characterized.

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          Long Term Outcomes Following Hospital Admission for Sepsis Using Relative Survival Analysis: A Prospective Cohort Study of 1,092 Patients with 5 Year Follow Up

          Background Sepsis is a leading cause of death in intensive care units and is increasing in incidence. Current trials of novel therapeutic approaches for sepsis focus on 28-day mortality as the primary outcome measure, but excess mortality may extend well beyond this time period. Methods We used relative survival analysis to examine excess mortality in a cohort of 1,028 patients admitted to a tertiary referral hospital with sepsis during 2007–2008, over the first 5 years of follow up. Expected survival was estimated using the Ederer II method, using Australian life tables as the reference population. Cumulative and interval specific relative survival were estimated by age group, sex, sepsis severity and Indigenous status. Results Patients were followed for a median of 4.5 years (range 0–5.2). Of the 1028 patients, the mean age was 46.9 years, 52% were male, 228 (22.2%) had severe sepsis and 218 (21%) died during the follow up period. Mortality based on cumulative relative survival exceeded that of the reference population for the first 2 years post admission in the whole cohort and for the first 3 years in the subgroup with severe sepsis. Independent predictors of mortality over the whole follow up period were male sex, Indigenous Australian ethnicity, older age, higher Charlson Comorbidity Index, and sepsis-related organ dysfunction at presentation. Conclusions The mortality rate of patients hospitalised with sepsis exceeds that of the general population until 2 years post admission. Efforts to improve outcomes from sepsis should examine longer term outcomes than the traditional primary endpoints of 28-day and 90-day mortality.
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            Preparation of Artificial Plasma Membrane Mimicking Vesicles with Lipid Asymmetry

            Lipid asymmetry, the difference in lipid distribution across the lipid bilayer, is one of the most important features of eukaryotic cellular membranes. However, commonly used model membrane vesicles cannot provide control of lipid distribution between inner and outer leaflets. We recently developed methods to prepare asymmetric model membrane vesicles, but facile incorporation of a highly controlled level of cholesterol was not possible. In this study, using hydroxypropyl-α-cyclodextrin based lipid exchange, a simple method was devised to prepare large unilamellar model membrane vesicles that closely resemble mammalian plasma membranes in terms of their lipid composition and asymmetry (sphingomyelin (SM) and/or phosphatidylcholine (PC) outside/phosphatidylethanolamine (PE) and phosphatidylserine (PS) inside), and in which cholesterol content can be readily varied between 0 and 50 mol%. We call these model membranes “artificial plasma membrane mimicking” (“PMm”) vesicles. Asymmetry was confirmed by both chemical labeling and measurement of the amount of externally-exposed anionic lipid. These vesicles should be superior and more realistic model membranes for studies of lipid-lipid and lipid-protein interaction in a lipid environment that resembles that of mammalian plasma membranes.
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              Outcomes in Patients with Acute and Stable Coronary Syndromes; Insights from the Prospective NOBORI-2 Study

              Background Contemporary data remains limited regarding mortality and major adverse cardiac events (MACE) outcomes in patients undergoing PCI for different manifestations of coronary artery disease. Objectives We evaluated mortality and MACE outcomes in patients treated with PCI for STEMI (ST-elevation myocardial infarction), NSTEMI (non ST-elevation myocardial infarction) and stable angina through analysis of data derived from the Nobori-2 study. Methods Clinical endpoints were cardiac mortality and MACE (a composite of cardiac death, myocardial infarction and target vessel revascularization). Results 1909 patients who underwent PCI were studied; 1332 with stable angina, 248 with STEMI and 329 with NSTEMI. Age-adjusted Charlson co-morbidity index was greatest in the NSTEMI cohort (3.78±1.91) and lowest in the stable angina cohort (3.00±1.69); P<0.0001. Following Cox multivariate analysis cardiac mortality was independently worse in the NSTEMI vs the stable angina cohort (HR 2.31 (1.10–4.87), p = 0.028) but not significantly different for STEMI vs stable angina cohort (HR 0.72 (0.16–3.19), p = 0.67). Similar observations were recorded for MACE (<180 days) (NSTEMI vs stable angina: HR 2.34 (1.21–4.55), p = 0.012; STEMI vs stable angina: HR 2.19 (0.97–4.98), p = 0.061. Conclusions The longer-term Cardiac mortality and MACE were significantly worse for patients following PCI for NSTEMI even after adjustment of clinical demographics and Charlson co-morbidity index whilst the longer-term prognosis of patients following PCI STEMI was favorable, with similar outcomes as those patients with stable angina following PCI.
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                Author and article information

                Journal
                Oncotarget
                Oncotarget
                ImpactJ
                Oncotarget
                Impact Journals LLC
                1949-2553
                August 2012
                19 August 2012
                : 3
                : 8
                : 737-738
                Affiliations
                Department of Biological Engineering and Department of Chemistry, MIT, Cambridge, MA
                Department of Biological Engineering, MIT, Cambridge, MA
                Division of Comparative Medicine and Department of Biological Engineering, MIT, Cambridge MA
                Department of Biological Engineering and Department of Chemistry, MIT, Cambridge, MA
                Author notes
                Correspondence: G.N. Wogan, wogan@ 123456mit.edu
                Article
                10.18632/oncotarget.624
                3478450
                22964519
                79d1e3c7-2386-4f66-832d-1f4ba6619cc6
                Copyright: © 2012 Wogan et al.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited

                History
                : 16 August 2012
                : 18 August 2012
                Categories
                Editorial

                Oncology & Radiotherapy
                Oncology & Radiotherapy

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