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The efficacy of oral ivermectin vs. sulfur 10% ointment for the treatment of scabies

100%
Alipour H., Goldust M.
Annals of Parasitology
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2015
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tom 61
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nr 2
Human scabies is caused by an infection of the skin by the human itch mite (Sarcoptes scabiei var. hominis). There are different medications for the treatment of scabies. This study aimed at comparing the efficacy and safety of oral ivermectin vs. sulfur 10% ointment for the treatment of scabies. In total, 420 patients with scabies were enrolled, and randomized into two groups: the first group received a single dose of oral ivermectin 200 μg/kg body weight, and the second group received sulfur 10% ointment and were told to apply this for three successive days. Treatment was evaluated at intervals of 2 and 4 weeks, and if there was treatment failure at the 2-week follow-up, treatment was repeated. A single dose of ivermectin provided a cure rate of 61.9% at the 2-week follow-up, which increased to 78.5% at the 4-week follow-up after repeating the treatment. Treatment with single applications of sulfur 10% ointment was effective in 45.2% of patients at the 2-week follow-up, which increased to 59.5% at the 4-week follow-up after this treatment was repeated. A single dose of ivermectin was as effective as single applications of sulfur 10% ointment at the 2-week follow-up. After repeating the treatment, ivermectin was superior to sulfur 10% ointment at the 4-week follow up. The delay in clinical response with ivermectin suggests that it may not be effective against all the stages in the life cycle of the parasite.
2
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Apparent contact dermatitis caused by Ancylostoma caninum: a case report

100%
Alipour H., Goldust M.
Annals of Parasitology
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2015
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tom 61
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nr 2
Ancylostomum caninum larvae cause damage to the host at the point of entry through the skin leaving a wound vulnerable to secondary infections. As the larvae migrate through the skin an inflammatory response, dermatitis, is often stimulated which can be exacerbated in hosts which give hypersensitive responses. We assessed a 44-year-old man with contact dermatitis diagnosed as nickel allergy but caused by Ancylostoma caninum infection.
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Determination of metals (As, Cu, Fe, and Zn) in two fish species from the Miankaleh wetland

81%
Alipour H., Pourkhabbaz A., Hassanpour M.
Archives of Polish Fisheries
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2016
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tom 24
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nr 2
4

Applying an artificial neural network approach for drought tolerance screening among Iranian wheat landraces and cultivars grown under well-watered and rain-fed conditions

71%
Rahimi Y., Bihamta M. R., Taleei A., Alipour H., Ingvarsson P. A.
Acta Physiologiae Plantarum
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2019
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tom 41
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nr 09
In the current study, an α-lattice design was used to investigate 320 Iranian bread wheat cultivars and landraces under non-stressed and rain-fed conditions, according to phenological, morphological and physiological parameters. An artificial neural network (ANN) was trained to evaluate the relative importance of different drought tolerance indices (DTIs) using a multilayer perceptron model. Our findings suggest that the Iranian wheat germplasm harbors large genetic diversity for all the studied traits. Correlation analyses highlighted the important role of seed number per spike, thousand kernel weight, leaf greenness and canopy temperature in predicting grain yield under both non-stressed and rain-fed conditions. Moreover, correlations between stressed-yield (Ys) and yield index (YI, r = 1**), harmonic mean (HM, r = 0.94**), geometric mean productivity (GMP, r = 0.86**), and stress tolerance index (STI, r = 0.86**) were all large, which was further confirmed by the results of ANN and a principal component analysis. A hierarchical clustering, visualized using a heatmap plot, classified cultivars and landraces into four separate groups, where high-yielding and drought-tolerant genotypes clustered in the same group. The result of ANN indicated that MP and YI had the highest relative importance for screening compatible genotypes for well-watered and rain-fed conditions, respectively. Overall, the selection of genotypes according to agronomic and physiological traits in association with an appropriate DTI can identify favorable wheat genotypes in a field trial to breed for well-watered and water-limited environments. Furthermore, the ANN successfully evaluated the relative importance of different DTIs in wheat.
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