Infectious disease outbreak and trade policy formulation

This paper provides a framework to understand why a country might resort to a policy like an import ban when at risk from infectious disease outbreak overseas. Superior import-competing domestic production technologies, and over-reliance on taxing the public for government revenue, could lead to blocked trade. The results of the two-country political economy model lend support to the wide use of public health interventions to minimize infections, and highlight their role in promoting open trade policies.Trade openness, infectious disease outbreak

Financial Services Liberalization in a Natural Resource Rich Economy

One objective of the General Agreement on Trade in Services (GATS) of the World Trade Organization (WTO) is to achieve financial services liberalization in member countries. We assess the implications of such liberalization in the banking sectors of the Gulf Cooperation Council (GCC) countries. After providing an overview of the GCC banking sector, we discuss the GATS provisions relevant to financial services and present liberalization commitments and exemptions of these countries under the agreement. Using the observation that spikes in oil prices are accompanied with expansion in credit availability, we develop a simple model to formally explore the consequences of opening up the banking sector. Our analysis considers the possible policy impact on the domestic banking industry as well as a non-tradable sector that is driven by local entrepreneurship. Our investigation suggests that while high oil prices facilitate credit availability, they also enable governments to more easily and better subsidize employment in the public sector. This more attractive outside option then serves as a deterrent to risk-taking entrepreneurs and this could stunt the growth of the non-tradable sector. A liberalized banking sector could mitigate this outcome as well as other institutional inefficiencies in lending, but also brings with it the vulnerability to global financial crises. A resulting credit crunch could then lead to retrenchment in the non-tradable sector. The situation could get aggravated if the global financial crisis leads to a collapse in the demand for oil and negatively affects oil prices

Significant impact of +105 A>C promoter polymorphism in IL-18 cytokine in patients with kidney stone disease

Background: Inflammation may be one cause of nephrolithiasis and the interleukin-18 (IL-18) encoding gene   polymorphisms at +105 A>C has been implicated in several inflammation related diseases. The aim of this study was to test whether IL-18+105 A>C polymorphisms could act as genetic marker for renal stone disease. A case-control study was conducted to observe the genotype distribution of IL-18+105 A>C, to elucidate the possible role of this SNP as risk factor in renal stone development and to examine its correlation with the clinico-pathologic variables.Methods: Using the Polymerase Chain Reaction-Restriction Fragment Length Polymorphism (PCR-RFLP) technique, we tested the genotype distribution of 160 nephrolithiasis patients in comparison with 200 disease free controls from the same geographical region.  Results: We observed significant differences of IL-18+105 A to C between the controls and patients with odds ratio 5.4 (P = 0.001). The prevalence of the variant genotypes AC + CC in the patients was higher than that in the controls (45% v/s 30%) and showed a significant association (P = 0.003). Moreover, the frequency per copy of the C allele of IL-18+105 A>C was found to be implicated more in patient group 0.27 as against only 0.16 in controls (P = 0.0003). Further, males and subjects with C is implicated in renal stone disease, and that the rare, C related allele is connected with higher susceptibility to nephrolithiasis.

Genetic diversity analysis in the Hypericum perforatum populations in the Kashmir valley by using inter-simple sequence repeats (ISSR) markers

Assessment of genetic variability among the Hypericum perforatum populations is critical to the development of effective conservation  strategies in the Kashmir valley. To obtain accurate estimates of genetic diversity among and within populations of H. perforatum, inter-simple sequence repeats (ISSR) markers were used. The study was aimed to check, whether ISSR fingerprinting may be a useful tool for studying genetic variations among H. perforatum populations in the Kashmir valley (India). A total of 15 ISSR primers were tested with the 20 genotypes of H. perforatum. The ten informative primers were selected and used to evaluate the degree of polymorphism and genetic relationships within and among all the H. perforatum populations. ISSR of 20 genotypes analysis yielded 98 fragments that could be scored, of which 71 were polymorphic, with an average of 7.1 polymorphic fragments per primer. Number of amplified fragments varied in size from 150 to 1650 bp. Percentage of polymorphism ranged from 60% to a maximum of 100%. Resolving power ranged from a minimum of 7.7 to a maximum of 14.3. Shannon indexes ranges from 0.166 to 0.389 with an average of 0.198 and Nei’s genetic diversity (h) ranges from 6.98 to 9.8. Estimated value of gene flow (Nm = 0.579) indicated that there was limited gene flow among the populations. The genetic diversity (Ht) within the population of 0.245 was clearly higher than that of among population genetic diversity (Hs= 0.115), indicating an out-crossing predominance in the studied populations. Analysis of molecular variance by ISSR markers indicated that over half of the total variation in the studied populations (58%) could be accounted for by differences among the 8 divisions, with a further 42% being accounted for by the variation among populations within a division.The dendrogram grouping the populations by unweighted pair-group method with arithmeticaverages (UPGMA) method revealed eight main clusters. In conclusion, combined analysis of ISSR markers and hypericin content is an optimal approach for further progress and breeding programs.Keywords: Hypericum perforatum (St. John's Wort), inter-simple sequence repeats (ISSR) markers, unweighted pair-group method with arithmetic averages (UPGMA), Nei’s genetic diversityAfrican Journal of Biotechnology, Vol. 13(1), pp. 18-31, 1 January, 201

Dissecting the influence of Neolithic demic diffusion on Indian Y-chromosome pool through J2-M172 haplogroup

The global distribution of J2-M172 sub-haplogroups has been associated with Neolithic demic diffusion. Two branches of J2-M172, J2a-M410 and J2b-M102 make a considerable part of Y chromosome gene pool of the Indian subcontinent. We investigated the Neolithic contribution of demic dispersal from West to Indian paternal lineages, which majorly consists of haplogroups of Late Pleistocene ancestry. To accomplish this, we have analysed 3023 Y-chromosomes from different ethnic populations, of which 355 belonged to J2-M172. Comparison of our data with worldwide data, including Y-STRs of 1157 individuals and haplogroup frequencies of 6966 individuals, suggested a complex scenario that cannot be explained by a single wave of agricultural expansion from Near East to South Asia. Contrary to the widely accepted elite dominance model, we found a substantial presence of J2a-M410 and J2b-M102 haplogroups in both caste and tribal populations of India. Unlike demic spread in Eurasia, our results advocate a unique, complex and ancient arrival of J2a-M410 and J2b-M102 haplogroups into Indian subcontinent

Use of quantitative molecular diagnostic methods to identify causes of diarrhoea in children: a reanalysis of the GEMS case-control study.

BACKGROUND: Diarrhoea is the second leading cause of mortality in children worldwide, but establishing the cause can be complicated by diverse diagnostic approaches and varying test characteristics. We used quantitative molecular diagnostic methods to reassess causes of diarrhoea in the Global Enteric Multicenter Study (GEMS). METHODS: GEMS was a study of moderate to severe diarrhoea in children younger than 5 years in Africa and Asia. We used quantitative real-time PCR (qPCR) to test for 32 enteropathogens in stool samples from cases and matched asymptomatic controls from GEMS, and compared pathogen-specific attributable incidences with those found with the original GEMS microbiological methods, including culture, EIA, and reverse-transcriptase PCR. We calculated revised pathogen-specific burdens of disease and assessed causes in individual children. FINDINGS: We analysed 5304 sample pairs. For most pathogens, incidence was greater with qPCR than with the original methods, particularly for adenovirus 40/41 (around five times), Shigella spp or enteroinvasive Escherichia coli (EIEC) and Campylobactor jejuni o C coli (around two times), and heat-stable enterotoxin-producing E coli ([ST-ETEC] around 1·5 times). The six most attributable pathogens became, in descending order, Shigella spp, rotavirus, adenovirus 40/41, ST-ETEC, Cryptosporidium spp, and Campylobacter spp. Pathogen-attributable diarrhoeal burden was 89·3% (95% CI 83·2-96·0) at the population level, compared with 51·5% (48·0-55·0) in the original GEMS analysis. The top six pathogens accounted for 77·8% (74·6-80·9) of all attributable diarrhoea. With use of model-derived quantitative cutoffs to assess individual diarrhoeal cases, 2254 (42·5%) of 5304 cases had one diarrhoea-associated pathogen detected and 2063 (38·9%) had two or more, with Shigella spp and rotavirus being the pathogens most strongly associated with diarrhoea in children with mixed infections. INTERPRETATION: A quantitative molecular diagnostic approach improved population-level and case-level characterisation of the causes of diarrhoea and indicated a high burden of disease associated with six pathogens, for which targeted treatment should be prioritised. FUNDING: Bill & Melinda Gates Foundation