Comparative Study of Monoclonal and Recombinant Antibody-Based Immunoassays for Fungicide Analysis in Fruit juices

[EN] A comparative study of the analytical performance of enzyme-linked immunosorbent assays (ELISAs), based on monoclonal and recombinant antibodies, for the determination of fungicide residues in fruit juices has been carried out. To this aim, three murine hybridoma cell lines secreting specific monoclonal antibodies against (RS)-2-(2,4-dichlorophenyl)-3-(1H-1,2,4-triazol-1-yl)propyl-1,1,2,2-tetrafluoroethyl ether (tetraconazole), 2-(4-triazolyl)benzimidazole (thiabendazole), and (RS)-1-(beta-allyloxy-2,4-dichlorophenylethyl)imidazole (imazalil) were used as a source of immunoglobulin gene fragments for the production of single-chain variable fragment (scFv) and fusion scFv-pIII recombinant antibodies in Escherichia coli. Selected recombinant antibodies displayed cross-reactivity profiles very similar to those of the parent monoclonal antibodies. Imazalil and tetraconazole recombinant antibodies showed one order of magnitude lower affinity than their respective monoclonal antibodies, whereas the thiabendazole recombinant antibodies showed an affinity similar to that of their parent monoclonal antibody. On the other hand, scFv-pIII fusion fragments showed similar analytical properties as, and occasionally better than, scFv recombinant antibodies. Finally, ELISAs developed from each antibody type showed similar analytical performance when applied to the analysis of the target fungicides in fruit juices.This work was funded by Ministerio de Educacion y Ciencia (MEC, Spain, Project AGL2002-03266). E. P. was the recipient of a doctoral fellowship from Conselleria d'Educacio (Generalitat Valenciana, Spain).Moreno Tamarit, MJ.; Plana Andani, E.; Manclus Ciscar, JJ.; Montoya Baides, Á. (2014). Comparative Study of Monoclonal and Recombinant Antibody-Based Immunoassays for Fungicide Analysis in Fruit juices. Food Analytical Methods. 7(2):481-489. https://doi.org/10.1007/s12161-013-9655-zS48148972Abad A, Manclús JJ, Moreno M, Montoya A (2001) J AOAC Int 84:1–6Alcocer MJC, Doyen C, Lee HA, Morgan MRA (2000) J Agric Food Chem 48:4053–4059Brichta J, Vesela H, Franek M (2003) Vet Med 48:237–247Brichta J, Hnilova M, Viskovic T (2005) Vet Med 50:231–252Charlton K, Harris WJ, Potter AJ (2001) Biosens Bioelec 16:639–646EU Pesticide Database (2013) Pesticide EU-MRLs. http://ec.europa.eu/sanco_pesticides/public/index.cfm . Accessed Jan 2013Ferrer C, Martínez-Bueno MJ, Lozano A, Fernández-Alba AR (2011) Talanta 83:1552–1561Garret SD, Appleford DJA, Wyatt GM, Lee HA, Morgan MRA (1997) J Agric Food Chem 45:4183–4189Graham BM, Porter AJ, Harris WJ (1995) J Chem Technol Biotech 63:279–289Hiemstra M, de Kok A (2007) J Chromatog A 1154:3–25Kipriyanov SM, Moldenhauer G, Little M (1997) J Immunol Meth 200:69–77Kramer K, Hock B (2007) Recombinant antibodies for agrochemicals: Evolutionary optimization. In: Kennedy IR, Solomon KR, Gee SJ, Crossan AN, Wang S, Sánchez-Bayo F (eds) Rational environmental management of agrochemicals: Risk assessment, monitoring, and remedial action. ACS Symposium Series, vol. 966, pp 155−170Krebber A, Bornhauser S, Burmester J, Honegger A, Willuda J, Bosshard HR, Plückthun A (1997) J Immunol Meth 201:35–55Leong SSJ, Chen WN (2008) Chem Engin Sci 63:1401–1414Li T, Zhang Q, Liu Y, Chen D, Hu B, Blake DA, Liu F (2006) J Agric Food Chem 54:9085–9091Manclús JJ, Moreno M, Plana E, Montoya A (2008) J Agric Food Chem 56:8790–8800Markus V, Janne L, Urpo L (2011) Trends Anal Chem 30:219–226Mersmann M, Schmidt A, Tesar M, Schöneberg A, Welschof M, Kipriyanov S, Terness P, Little M, Pfizenmaier K, Moosmayer D (1998) J Immunol Meth 220:51–58Moreno M, Plana E, Montoya A, Caputo P, Manclús JJ (2007) Food Addit Contam 24:704–712Morozova VS, Levashova AI, Eremin SA (2005) J Anal Chem 60:202–217Nishi K, Imajuku Y, Nakata M, Ohde K, Miyake S, Morimune K, Kawata M, Ohkawa H (2003) J Pest Sci 28:301–309Nishi K, Ishiuchi M, Morimune K, Ohkawa H (2005) J Agric Food Chem 53:5096–5104Scholthof KB, Whang G, Karu AE (1997) J Agric Food Chem 45:1509–1517Sheedy C, MacKenzie CR, Hall JC (2007) Biotech Adv 25:25333–25352Tout NL, Yau KYF, Trevors JT, Lee H, Hall JC (2001) J Agric Food Chem 49:3628–3637Webb SR, Lee H, Hall JC (1997) J Agric Food Chem 45:535–541Yau KYF, Tout NL, Trevors JT, Lee H, Hall JC (1998) J Agric Food Chem 46:4457–4463Yoshioka N, Akiyama Y, Matsuoka T, Mitsuhashi T (2010) Food Control 21:212–21

Survivorship of Anopheles darlingi (Diptera: Culicidae) in Relation with Malaria Incidence in the Brazilian Amazon

We performed a longitudinal study of adult survival of Anopheles darlingi, the most important vector in the Amazon, in a malarigenous frontier zone of Brazil. Survival rates were determined from both parous rates and multiparous dissections. Anopheles darlingi human biting rates, daily survival rates and expectation of life where higher in the dry season, as compared to the rainy season, and were correlated with malaria incidence. The biting density of mosquitoes that had survived long enough for completing at least one sporogonic cycle was related with the number of malaria cases by linear regression. Survival rates were the limiting factor explaining longitudinal variations in Plasmodium vivax malaria incidence and the association between adult mosquito survival and malaria was statistically significant by logistic regression (P<0.05). Survival rates were better correlated with malaria incidence than adult mosquito biting density. Mathematical modeling showed that P. falciparum and P. malariae were more vulnerable to changes in mosquito survival rates because of longer sporogonic cycle duration, as compared to P. vivax, which could account for the low prevalence of the former parasites observed in the study area. Population modeling also showed that the observed decreases in human biting rates in the wet season could be entirely explained by decreases in survival rates, suggesting that decreased breeding did not occur in the wet season, at the sites where adult mosquitoes were collected. For the first time in the literature, multivariate methods detected a statistically significant inverse relation (P<0.05) between the number of rainy days per month and daily survival rates, suggesting that rainfall may cause adult mortality

Investigation of Gamma-aminobutyric acid (GABA) A receptors genes and migraine susceptibility

Background Migraine is a neurological disorder characterized by recurrent attacks of severe headache, affecting around 12% of Caucasian populations. It is well known that migraine has a strong genetic component, although the number and type of genes involved is still unclear. Prior linkage studies have reported mapping of a migraine gene to chromosome Xq 24–28, a region containing a cluster of genes for GABA A receptors (GABRE, GABRA3, GABRQ), which are potential candidate genes for migraine. The GABA neurotransmitter has been implicated in migraine pathophysiology previously; however its exact role has not yet been established, although GABA receptors agonists have been the target of therapeutic developments. The aim of the present research is to investigate the role of the potential candidate genes reported on chromosome Xq 24–28 region in migraine susceptibility. In this study, we have focused on the subunit GABA A receptors type ε (GABRE) and type θ (GABRQ) genes and their involvement in migraine. Methods We have performed an association analysis in a large population of case-controls (275 unrelated Caucasian migraineurs versus 275 controls) examining a set of 3 single nucleotide polymorphisms (SNPs) in the coding region (exons 3, 5 and 9) of the GABRE gene and also the I478F coding variant of the GABRQ gene. Results Our study did not show any association between the examined SNPs in our test population (P > 0.05). Conclusion Although these particular GABA receptor genes did not show positive association, further studies are necessary to consider the role of other GABA receptor genes in migraine susceptibility