Association of MBL2 gene polymorphisms with pulmonary tuberculosis susceptibility: trial sequence meta-analysis as evidence

Raju K Mandal,1,* Munawwar Ali Khan,2,* Arif Hussain,3 Sajad A Dar,1 Sultan Aloufi,4 Arshad Jawed,1 Mohd Wahid,1 Aditya K Panda,5 Mohtashim Lohani,6 Naseem Akhter,7 Saif Khan,8 Bhartendu Nath Mishra,9 Shafiul Haque1 1Research and Scientific Studies Unit, College of Nursing and Allied Health Sciences, Jazan University, Jazan, Saudi Arabia; 2Department of Life and Environmental Sciences, College of Natural and Health Sciences, Zayed University, Dubai, United Arab Emirates; 3School of Life Sciences, Manipal Academy of Higher Education, Dubai, United Arab Emirates; 4Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, University of Ha’il, Ha’il, Saudi Arabia; 5Centre for Life Sciences, Central University of Jharkhand, Ranchi, Jharkhand, India; 6Department of Emergency Medical Services, College of Applied Medical Sciences, Jazan University, Jazan, Saudi Arabia; 7Department of Laboratory Medicine, Faculty of Applied Medical Sciences, Al Baha University, Al Baha, Saudi Arabia; 8Department of Basic Sciences, College of Dentistry, University of Ha’il, Ha’il, Saudi Arabia; 9Department of Biotechnology, Institute of Engineering and Technology, Lucknow, Uttar Pradesh, India *These authors contributed equally to this work Background: Mannose-binding lectin (MBL) or mannose-binding protein (MBP), encoded by MBL2 gene and secreted by the liver, activates complement system through lectin pathway in innate immunity against the host’s infection. Conflictingly, a number of MBL2 variants, rs1800450 (A>B), rs1800451 (A>C), rs5030737 (A>D), rs7096206 (Y>X), rs11003125 (H>L), and rs7095891 (P>Q) allele, have been found to be associated with compromised serum levels and pulmonary tuberculosis (PTB) susceptibility. The present meta-analysis study was performed to evaluate the potential association of these MBL2 gene variants with PTB susceptibility.Materials and methods: A quantitative synthesis was performed on PubMed (Medline), EMBASE, and Google Scholar web database searches. A meta-analysis was performed to calculate the pooled odds ratios and 95% CIs for all the genetic models.Results: A total of 14 eligible studies were included to analyze their pooled data for associations between alleles, genotypes, and minor allele carriers. The statistical analysis revealed the significant reduced PTB risk with homozygous variant genotype of rs1800451 polymorphism (CC vs AA: P=0.043; OR =0.828, 95% CI =0.689–0.994). Contrary to this, the variant allele of rs5030737 polymorphism showed association with increased PTB risk (D vs A: P=0.026; OR =1.563, 95% CI =1.054–2.317). However, the other genetic models of rs1800450 (A>B), rs7096206 (Y>X), and rs11003125 (H>L) MBL2 gene polymorphisms did not divulge any association with PTB susceptibility.Conclusion: The current meta-analysis concludes that rs1800451 (A>C) and rs5030737 (A>D) polymorphisms of MBL2 gene play a significant role in PTB susceptibility. Further, well-designed epidemiological studies with larger sample size including consideration of environmental factors are warranted for the future. Keywords: meta-analysis, mannose-binding lectin, MBL2, pulmonary tuberculosis, PTB, polymorphis

Technology Assessment: Demand Response Technologies in the Pacific Northwest

The goal of this research is to develop a decision model that can be used to identify the technology transfer potential of a research proposal. An organization can use the model to select the proposals whose research outcomes are more likely to move into application. The model begins to close the chasm between research and application – otherwise known as the “valley of death.” A hierarchical decision model, along with desirability curves, was used to understand the complexities of the researcher and recipient relationship, specific to technology transfer. In this research, the evaluation criteria of several research organizations were assessed to understand the extent to which the success attributes that were identified in literature were considered when reviewing research proposals. The quantified model was validated using a case study involving demand response (DR) technology proposals in the Pacific Northwest

Assessment of Surface Water Quality Using Heavy Metal Pollution Index in Subarnarekha River, India

Surface water samples were collected from 21 sampling sites throughout the Subarnarekha River during pre-monsoon, monsoon and post-monsoon seasons. The concentrations of Al, As, Ba, Cr, Co, Cu, Fe, Mn, Ni, Se, V and Zn were determined using inductively coupled plasma-mass spectrometry for seasonal fluctuation, source apportionment and heavy metal pollution indexing. The results demonstrated that concentrations of the metals showed significant seasonality and most variables exhibited higher levels in the pre-monsoon season. Principal component analysis outcome of four factors together explained 73.13 % of the variance with >>1 initial Eigenvalue indicating both innate and anthropogenic activities as contributing factors of metal profusion in the river. To assess the composite influence of all the considered metals on the overall quality of the water, heavy metal pollution indices were calculated. The HPI for surface water of the river considering all the seasons and locations was 32.27. The HPI of the river calculated for the individual locations showed great variations ranging from 3.55 to 388.9. All the locations fall under low to medium classes of HPI except few locations which are under the influence of industries, mining or near the estuary. The enhanced concentrations of certain metals in the Subarnarekha River near industrial and mining establishments may be attributed to anthropogenic contribution from the industrial and mining activities of the area