Calculation of the Probability of Survival for Trauma Patients Based on Trauma Score and the Injury Severity Score Model in Fatemi Hospital in Ardabil

Background: Trauma, in addition to economic and social costs, is the fourth cause of death in the world and in the year 2000 alone, it led to the death of more than 6000000 people. In Iran, Trauma has the first burden of disease and also needs a long medical surveillance. Objectives: The aim of this study was to evaluate the outcome of trauma cases using the trauma score and the injury severity score (TRISS) model and then comparing this with the results of a major trauma outcome study (MTOS) carried out in the US. Patients and Methods: This study is a retrospective, descriptive and analytical study on 1000 patients aged 2 - 82 years old with closed or penetrating traumas staying at Ardebil Fatemi hospital. In this study, injury severity score (ISS), revised trauma score (RTS), and TRISS were calculated and patients\' viability ratios were obtained. Results: The results showed that 714 patients (71.4%) were male and 286 patients (28.6%) female with the mean age of 35.68 years. In this study 45 (4.5%) and 955 patients (95.5%) had penetrating and blunt traumas, respectively, whereby the head and neck were the most prevalent (74%) areas of injury. The most common reason for these traumas was, accident with vehicles with 670 cases (67%), which resulted in hospitalization. From this group, ninety-seven cases (9.7%) died in the hospital. From these results, calculations of ISS and RTS were 15.50 ± 11.31 and 7.49 ± 0.79, respectively. According to the calculation of the TRISS model, 91.5% of trauma victims should be survived, while only 90.3% survived practically. Conclusions: We can conclude that the surveillance presented to our injured group probably had some defects that need to be revised in therapeutic services to enhance survival requirements

Management of esophageal burns caused by caustic ingestion: A case report

Introduction: Domestic and industrial swallowing of caustic substances can cause acute and chronic injuries. In the acute phase of care, focus is on the immediate control of tissue damage and perforation, and in the chronic phase, the focus is on the treatment of pharyngeal narrowing and impaired swallowing. Case Presentation: The patients of this report were an 18-year-old man and a 20-year-old woman, who had esophageal burns after ingesting chemicals, and for solving their nutritional problems, such as difficulty in swallowing, they had underwent surgery. Patients had continued follow-up after surgery. Conclusions: Treatment of esophageal burn lesions is by immediate and delayed removing of damage outcomes. © 2016, Iranian Red Crescent Medical Journal

CD8+ T cells specific for cryptic apoptosis-associated epitopes exacerbate experimental autoimmune encephalomyelitis

The autoimmune immunopathology occurring in multiple sclerosis (MS) is sustained by myelin-specific and -nonspecific CD8(+) T cells. We have previously shown that, in MS, activated T cells undergoing apoptosis induce a CD8(+) T cell response directed against antigens that are unveiled during the apoptotic process, namely caspase-cleaved structural proteins such as non-muscle myosin and vimentin. Here, we have explored in vivo the development and the function of the immune responses to cryptic apoptosis-associated epitopes (AEs) in a well-established mouse model of MS, experimental autoimmune encephalomyelitis (EAE), through a combination of immunization approaches, multiparametric flow cytometry, and functional assays. First, we confirmed that this model recapitulated the main findings observed in MS patients, namely that apoptotic T cells and effector/memory AE-specific CD8(+) T cells accumulate in the central nervous system of mice with EAE, positively correlating with disease severity. Interestingly, we found that AE-specific CD8(+) T cells were present also in the lymphoid organs of unprimed mice, proliferated under peptide stimulation in vitro, but failed to respond to peptide immunization in vivo, suggesting a physiological control of this response. However, when mice were immunized with AEs along with EAE induction, AE-specific CD8(+) T cells with an effector/memory phenotype accumulated in the central nervous system, and the disease severity was exacerbated. In conclusion, we demonstrate that AE-specific autoimmunity may contribute to immunopathology in neuroinflammation

Complex-type N-glycan recognition by potent broadly neutralizing HIV antibodies

Broadly neutralizing HIV antibodies (bNAbs) can recognize carbohydrate-dependent epitopes on gp120. In contrast to previously characterized glycan-dependent bNAbs that recognize high-mannose N-glycans, PGT121 binds complex-type N-glycans in glycan microarrays. We isolated the B-cell clone encoding PGT121, which segregates into PGT121-like and 10-1074–like groups distinguished by sequence, binding affinity, carbohydrate recognition, and neutralizing activity. Group 10-1074 exhibits remarkable potency and breadth but no detectable binding to protein-free glycans. Crystal structures of unliganded PGT121, 10-1074, and their likely germ-line precursor reveal that differential carbohydrate recognition maps to a cleft between complementarity determining region (CDR)H2 and CDRH3. This cleft was occupied by a complex-type N-glycan in a “liganded” PGT121 structure. Swapping glycan contact residues between PGT121 and 10-1074 confirmed their importance for neutralization. Although PGT121 binds complex-type N-glycans, PGT121 recognized high-mannose-only HIV envelopes in isolation and on virions. As HIV envelopes exhibit varying proportions of high-mannose- and complex-type N-glycans, these results suggest promiscuous carbohydrate interactions, an advantageous adaptation ensuring neutralization of all viruses within a given strain

Genome-scale modeling of the protein secretory machinery in yeast

The protein secretory machinery in Eukarya is involved in post-translational modification (PTMs) and sorting of the secretory and many transmembrane proteins. While the secretory machinery has been well-studied using classic reductionist approaches, a holistic view of its complex nature is lacking. Here, we present the first genome-scale model for the yeast secretory machinery which captures the knowledge generated through more than 50 years of research. The model is based on the concept of a Protein Specific Information Matrix (PSIM: characterized by seven PTMs features). An algorithm was developed which mimics secretory machinery and assigns each secretory protein to a particular secretory class that determines the set of PTMs and transport steps specific to each protein. Protein abundances were integrated with the model in order to gain system level estimation of the metabolic demands associated with the processing of each specific protein as well as a quantitative estimation of the activity of each component of the secretory machinery

Keratan sulphate in the tumour environment

Keratan sulphate (KS) is a bioactive glycosaminoglycan (GAG) of some complexity composed of the repeat disaccharide D-galactose β1→4 glycosidically linked to N-acetyl glucosamine. During the biosynthesis of KS, a family of glycosyltransferase and sulphotransferase enzymes act sequentially and in a coordinated fashion to add D-galactose (D-Gal) then N-acetyl glucosamine (GlcNAc) to a GlcNAc acceptor residue at the reducing terminus of a nascent KS chain to effect chain elongation. D-Gal and GlcNAc can both undergo sulphation at C6 but this occurs more frequently on GlcNAc than D-Gal. Sulphation along the developing KS chain is not uniform and contains regions of variable length where no sulphation occurs, regions which are monosulphated mainly on GlcNAc and further regions of high sulphation where both of the repeat disaccharides are sulphated. Each of these respective regions in the KS chain can be of variable length leading to KS complexity in terms of chain length and charge localization along the KS chain. Like other GAGs, it is these variably sulphated regions in KS which define its interactive properties with ligands such as growth factors, morphogens and cytokines and which determine the functional properties of tissues containing KS. Further adding to KS complexity is the identification of three different linkage structures in KS to asparagine (N-linked) or to threonine or serine residues (O-linked) in proteoglycan core proteins which has allowed the categorization of KS into three types, namely KS-I (corneal KS, N-linked), KS-II (skeletal KS, O-linked) or KS-III (brain KS, O-linked). KS-I to -III are also subject to variable addition of L-fucose and sialic acid groups. Furthermore, the GlcNAc residues of some members of the mucin-like glycoprotein family can also act as acceptor molecules for the addition of D-Gal and GlcNAc residues which can also be sulphated leading to small low sulphation glycoforms of KS. These differ from the more heavily sulphated KS chains found on proteoglycans. Like other GAGs, KS has evolved molecular recognition and information transfer properties over hundreds of millions of years of vertebrate and invertebrate evolution which equips them with cell mediatory properties in normal cellular processes and in aberrant pathological situations such as in tumourogenesis. Two KS-proteoglycans in particular, podocalyxin and lumican, are cell membrane, intracellular or stromal tissue–associated components with roles in the promotion or regulation of tumour development, mucin-like KS glycoproteins may also contribute to tumourogenesis. A greater understanding of the biology of KS may allow better methodology to be developed to more effectively combat tumourogenic processes