INFLUENCE OF STABILIZATION EXERCISES ON ARTICULAR CARTILAGE CHANGES IN DEGENERATIVE TIBIO- FEMORAL JOINT DISEASE- A PILOT STUDY

Objectives: To determine the effectiveness of knee joint stabilization exercises in minimizing articular cartilage degeneration and to examine theeffectiveness of knee joint stabilization exercises on decreasing pain, improving range of motion (ROM) and muscle strength.Methods: About 20 volunteer subjects (age 35-65 years) with primary osteoarthritis fulfilled the inclusion criteria given the knee stabilizationexercises for 8 weeks. Pain, muscle strength, functional outcome score, and serum cartilage oligomeric matrix protein (COMP) values were measuredpre- and post-intervention using visual analog scale, dynamometer, and ELISA test. Data were analyzed using a paired t-test with Statistical Packagefor the Social Sciences version 20 to find out the difference between the pre- and post-test.Results: The results of the study have shown that significant difference between pre- and post-test values of pain, ROM, muscle strength and functionaloutcome score with p<0.05, and there is statistical in significance in serum COMP value (p<0.05).Conclusion: Stabilization exercises of knee joint were shown to be beneficial for decreasing pain, improving ROM and muscle strength, and there wasno effect on articular cartilage changes in degenerative tibiofemoral joint disease.Keywords: Serum cartilage oligomeric matrix protein, Knee stabilization exercises, Proprioception exercises, Muscle strength. Â

The Probabilistic Methodology for Distinguishing Node Failures in Mobile Wireless Networks

The Wireless Mobile Network is work of "nodes"- from a couple to a few hundreds or even thousands, where every node is associated with one mobile. A node in a wireless mobile network that is equipped for using out some procedure and assemble mobile data and speaking with other associated nodes in the network. The nodes to perform transmissions not effectively, there are some issues may emerge in that they are 1) if node failure will happen in any stage, 2) security issues emerges because of transmission includes number of nodes, 3) expanding transmission time because of more number of nodes will be dynamic at a time to finish a specific assignment. To take care of this issue we propose new calculations are 1) node detecting and node failure for movement location, 2) finding courses and give security utilizing neighborhood keys, 3) which node includes to play out the activity that present node just to be dynamic at a time other to rest mode utilizing node booking plan. The way toward identifying the fizzled or harmed nodes in the wireless network is excessively mind boggling due, making it impossible to its dynamic topology and exhibiting of gigantic number of nodes in it. Sometimes the association may get loss amid the time of recognition, it makes us to put in the troublesome position. So as to lessen these complexity and challenges, we approach the probabilistic strategy to supplant the fizzled node with great node to actuate the transmission of information and decrease the time complexity amid the time of correspondence

Maximum gradient embeddings and monotone clustering

Let (X,d_X) be an n-point metric space. We show that there exists a distribution D over non-contractive embeddings into trees f:X-->T such that for every x in X, the expectation with respect to D of the maximum over y in X of the ratio d_T(f(x),f(y)) / d_X(x,y) is at most C (log n)^2, where C is a universal constant. Conversely we show that the above quadratic dependence on log n cannot be improved in general. Such embeddings, which we call maximum gradient embeddings, yield a framework for the design of approximation algorithms for a wide range of clustering problems with monotone costs, including fault-tolerant versions of k-median and facility location.Comment: 25 pages, 2 figures. Final version, minor revision of the previous one. To appear in "Combinatorica

1-Methyl-4-phenyl-1,2,3,6-tetrahydropyridine induced Parkinson’s disease in zebrafish

Parkinson\u2019s disease (PD) is the most common age associated neurodegenerative disease, which has been extensively studied for its etiology and phenotype. PD has been widely studied in alternate model system such as rodents towards understanding the role of neurotoxin by inducing PD. This study is aimed to understand the biomechanism of PD in zebrafish model system induced by 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP). The phenotype and role of various genes and proteins for Parkinsonism were tested and evaluated in this study using behaviour, molecular and proteomic approaches. Zebrafish PD model induced by 1-methyl- 4-phenyl-1,2,3,6-tetrahydropyridine showed a significant level of decrease in the movement with erratic swimming pattern and increased freezing bouts. CHCHD2, EEF2B, LRRK2, PARK7, PARK2, POLG, SNCGB and SYNB genes were differentially regulated at the transcript level in PD zebrafish. Similarly a total of 73 proteins were recognized as differentially expressed in the nervous system of zebrafish due to Parkinsonism based on quantitative proteomics approach. Proteins such as NEFL,MUNC13-1, NAV2 and GAPVD1 were down regulated in the zebrafish brain for the PD phenotype, which were associated with the neurological pathways. This zebrafish based PD model can be used as a potential model system for screening prospective drug molecules for PD

Photographic protocol for image acquisition in craniofacial microsomia

Craniofacial microsomia (CFM) is a congenital condition associated with orbital, mandibular, ear, nerve, and soft tissue anomalies. We present a standardized, two-dimensional, digital photographic protocol designed to capture the common craniofacial features associated with CFM

Biophysical Characterization and Membrane Interaction of the Two Fusion Loops of Glycoprotein B from Herpes Simplex Type I Virus

The molecular mechanism of entry of herpesviruses requires a multicomponent fusion system. Cell invasion by Herpes simplex virus (HSV) requires four virally encoded glycoproteins: namely gD, gB and gH/gL. The role of gB has remained elusive until recently when the crystal structure of HSV-1 gB became available and the fusion potential of gB was clearly demonstrated. Although much information on gB structure/function relationship has been gathered in recent years, the elucidation of the nature of the fine interactions between gB fusion loops and the membrane bilayer may help to understand the precise molecular mechanism behind herpesvirus-host cell membrane fusion. Here, we report the first biophysical study on the two fusion peptides of gB, with a particular focus on the effects determined by both peptides on lipid bilayers of various compositions. The two fusion loops constitute a structural subdomain wherein key hydrophobic amino acids form a ridge that is supported on both sides by charged residues. When used together the two fusion loops have the ability to significantly destabilize the target membrane bilayer, notwithstanding their low bilayer penetration when used separately. These data support the model of gB fusion loops insertion into cholesterol enriched membranes

NK-CD11c+ Cell Crosstalk in Diabetes Enhances IL-6-Mediated Inflammation during Mycobacterium tuberculosis Infection

In this study, we developed a mouse model of type 2 diabetes mellitus (T2DM) using streptozotocin and nicotinamide and identified factors that increase susceptibility of T2DM mice to infection by Mycobacterium tuberculosis (Mtb). All Mtb-infected T2DM mice and 40% of uninfected T2DM mice died within 10 months, whereas all control mice survived. In Mtb-infected mice, T2DM increased the bacterial burden and pro- and anti-inflammatory cytokine and chemokine production in the lungs relative to those in uninfected T2DM mice and infected control mice. Levels of IL-6 also increased. Anti-IL-6 monoclonal antibody treatment of Mtb-infected acute- and chronic-T2DM mice increased survival (to 100%) and reduced pro- and anti-inflammatory cytokine expression. CD11c+ cells were the major source of IL-6 in Mtb-infected T2DM mice. Pulmonary natural killer (NK) cells in Mtb-infected T2DM mice further increased IL-6 production by autologous CD11c+ cells through their activating receptors. Anti-NK1.1 antibody treatment of Mtb-infected acute-T2DM mice increased survival and reduced pro- and anti-inflammatory cytokine expression. Furthermore, IL-6 increased inflammatory cytokine production by T lymphocytes in pulmonary tuberculosis patients with T2DM. Overall, the results suggest that NK-CD11c+ cell interactions increase IL-6 production, which in turn drives the pathological immune response and mortality associated with Mtb infection in diabetic mice