Serodiagnosis of Fasciola gigantica Infection in Buffaloes with Native Cathepsin-L Proteases and Recombinant Cathepsin L1-D.

AIM: Serodiagnosis of Fasciola gigantica natural infection in buffaloes with recombinant cathepsin L1-D and native cathepsin-L protease antigens. METHODS: The recombinant cat L1-D antigen was expressed in prokaryotic expression system and native cathepsin-L proteases were purified by alcoholic fractionation from adult F. gigantica flukes. Buffaloes (n  = 325) were screened for anti-Fasciola antibodies with the above antigens in immunoglobulin-G-enzyme linked immunosorbent assay (IgG-ELISA). RESULTS: The recombinant cat L1-D antigen showed positive reactivity with 101/122 necropsy positive animals but 21/122 necropsy confirmed positive animals were negative in this ELISA (sensitivity 82.8%). However, 30/203 (14.8%) necropsy negative animals for Fasciola were seropositive with specificity of 85.2%. With native cat-L protease, 104/122 necropsy confirmed positive animals were ELISA positive but 18/122 necropsy positive animals were seronegative, thereby depicting the sensitivity of 85.2%. But ELISA with this antigen showed 27/203 (13.3%) necropsy negative animals as positive (specificity 86.7%). CONCLUSIONS: Comparative evaluation of both the antigens showed that they are suitable for serodiagnosis of F. gigantica infection in buffalo herds.

The Association of Metabolic Syndrome and Psoriasis: A Systematic Review and Meta-Analysis of Observational Study.

BACKGROUND: Metabolic syndrome worsens complications in psoriasis patients by predisposing them to cardiovascular diseases. Psoriasis has been widely associated with metabolic syndrome; however, it has still not been proven owing to a limited number of studies and some of those reporting conflicting results. OBJECTIVE: Psoriasis has reportedly been associated with metabolic syndrome; however, it has yet not been established beyond doubt owing to conflicting literature. The present meta-analysis of observational studies aims to evaluate the prevalence of metabolic syndrome in psoriasis patients and establish an inferring point that psoriasis patients are certainly susceptible to metabolic syndrome. The study will benefit clinicians to assess and monitor psoriasis patients for several associated comorbid conditions and in its treatment. METHODS: A systematic web search for 'Psoriasis', 'Metabolic Syndrome', 'Hypertension', 'Plasma Glucose', 'Dyslipidaemia', 'Waist Circumference' was performed, collecting all original observational studies on humans up to April 30, 2018. Depending on the inclusion and exclusion criteria, articles were screened for eligibility. Due to the presence of significant heterogeneity, the Odds Ratio (OR) was calculated using a random-effect model with Der-Simonian and Laird method. The statistical heterogeneity was determined using I2 statistics. Comprehensive Meta-Analysis Software, Version 3 was used to perform all the analysis. RESULTS: Sixty-three studies encompassing 15,939 psoriasis patients and 103,984 controls were included in this meta-analysis. Among them, 30.29 % of psoriasis patients were reported with metabolic syndrome in comparison to 21.70 % of subjects in the control group. The present study clearly indicates an increased prevalence of metabolic syndrome among psoriasis patients (OR: 2.077 [95% CI, 1.84 - 2.34]). CONCLUSION: The findings support the fact that psoriasis patients have a higher incidence of metabolic syndrome. Our study also recommends that psoriasis patients should be regularly monitored for metabolic syndrome complications and its associated risk factors such as hypertension, raised triglyceride, lowered HDL Cholesterol, increased fasting plasma glucose, and waist circumference.

Comparative genome analysis of Solanum lycopersicum and Solanum tuberosum.

Solanum lycopersicum and Solanum tuberosum are agriculturally important crop species as they are rich sources of starch, protein, antioxidants, lycopene, beta-carotene, vitamin C, and fiber. The genomes of S. lycopersicum and S. tuberosum are currently available. However the linear strings of nucleotides that together comprise a genome sequence are of limited significance by themselves. Computational and bioinformatics approaches can be used to exploit the genomes for fundamental research for improving their varieties. The comparative genome analysis, Pfam analysis of predicted reviewed paralogous proteins was performed. It was found that S. lycopersicum proteins belong to more families, domains and clans in comparison with S. tuberosum. It was also found that mostly intergenic regions are conserved in two genomes followed by exons, intron and UTR. This can be exploited to predict regions between genomes that are similar to each other and to study the evolutionary relationship between two genomes, leading towards the development of disease resistance, stress tolerance and improved varieties of tomato.