A potential marker in brucellosis, long non coding RNA IFNG-AS1

Brucellosis is the most common bacterial zoonotic infection. This pathogen may survive and sustain in host. The aim of this study is to define relationship between long noncoding (lnc) RNA-IFNG-AS1 and interferon gamma (IFN-gamma) in different groups of patients with brucellosis compared to control group. In this study, associations of lncRNA IFNG-AS1 expression with secretion of IFN-gamma level in Sixty patients with brucellosis, which were divided into 3 groups (acute, chronic and relapse groups), as a case group were compared with 20 subjects with negative serological tests and brucellosis clinical manifestation as a control group. In this regard, RNA were extracted from isolated peripheral blood mononuclear cells (PBMCs). LncRNA IFNG-AS1, T-box transcription factor (T-bet) and IFN-gamma expressions were detected using quantitative polymerase chain reaction (qPCR). Serum level IFN-gamma was assessed using enzyme linked immunosorbent assay (ELISA). The results showed that expression level of LncRNA IFNG-AS1, T-bet and IFN-gamma increased significantly in all patient groups in compared to healthy subjects (P<0.0001, P<0.01, P<0.001). However, there was no significant difference in T-bet expression between chronic and healthy groups (P=0.98). Additionally, further analysis revealed that the serum level of IFN-gamma in acute and relapsed groups were higher than control group (P<0.0001, P<0.001). The effective role of IFNG-AS1 in many protective actions, including enhancing the expression of INF-gamma in the immune response of brucellosis patients, revealed new potential marker, LncRNA IFNG-AS1 in screening, diagnosis or treatment of brucellosis

How are we treating our systemic patients with primary Sjögren syndrome? Analysis of 1120 patients

Objective: To describe how systemic disease is treated in a large cohort of Spanish patients with primary Sjögren syndrome (pSS) in daily practice, focusing on the adequacy of therapies for the level of systemic activity measured by ESSDAI score. Patients and methods: By December 2014, our database included 1120 consecutive patients who fulfilled the 2002 classification criteria for SS. Therapeutic schedules were classified into 4 categories: no systemic therapies, hydroxychloroquine (HCQ) and/or low dose glucocorticoids (GCS) (20mg/day) and use of second-line therapies (immunosuppressive agents, intravenous immunoglobulins [IVIG] and/or rituximab [RTX]). Results: There were 1048 (94%) women and 72 (6%) men , with a mean age at diagnosis of 54 years. The main drug-based therapeutic approaches for systemic pSS during follow-up were HCQ in 282 (25%) patients, GCS in 475 (42%, at doses >20mg/day in 255-23%), immunosuppressive agents in 148 (13%), IVIG in 25 (2%) and RTX in 35 (3%) patients. HCQ was associated with a lower risk of death (adjusted HR of 0.57, 95% 0.34-0.95). We classified 16 (7%) of the 255 patients treated with >20mg GCS and 21/148 (14%) treated with immunosuppressive agents as patients inadequately treated, mainly associated with articular involvement of low/moderate activity. Conclusion: The management of pSS should be organ-specific, using low dose GCS in patients with moderate systemic activity, limiting the use of high dose GCS and second-line therapies to refractory or potentially severe scenarios. The use of systemic therapies for dryness, chronic pain or fatigue is not warranted

Digital Image Correlation Techniques for NDE and SHM

Monitoring and analyzing the integrity of structures, infrastructure, and machines is essential for economic, operational, and safety reasons. The assessment of structural integrity and dynamic conditions of those systems is important to ensure safe operation and achieve or even extend the design service life. Recent advancements in camera technology, optical sensors, and image processing algorithms have made optically based and noncontact measurement techniques such as photogrammetry and digital image correlation (DIC) appealing methods for nondestructive evaluation (NDE) and structural health monitoring (SHM). Conventional sensors (e.g., accelerometers, strain gages, string potentiometers, LVDTs) provide results only at a discrete number of points. Moreover, these sensors need wiring, can be time-consuming to install, may require additional instrumentations (e.g., power amplifiers, data acquisition), and are difficult to implement on large-sized structures without interfering with their functionality or may require instrumentation having a large number of data channels. On the contrary, optical techniques can provide accurate quantitative information about full-field displacement, strain, geometry, and the dynamics of a structure without contact or interfering with the structure’s functionality. This chapter presents a summary review of the efforts made in both academia and industry to leverage the use of DIC systems for NDE and SHM applications in the fields of civil, aerospace, and energy engineering systems. The chapter also summarizes the feasibility of the approaches and presents possible future directions of the measurement approach