Introduction: Cutaneous leishmaniasis is considered a parasitic contagion resulting from the flagellated parasite belonging to the genus of Leishmania. Also, cutaneous leishmaniasis is a zoonotic ailment transmitted through the bloodsucking sand-flies bite (belonging to the Phlebotomus genus). The disease's reservoirs included wild or semi-domesticated animals, in general rodents and dogs. Tissue inhibitor metalloproteinase-1 (TIMP-1) is one of the extracellular matrix proteins that have a role in vessel wall degeneration and aneurysm development. In addition, it belongs to the zinc-dependent endopeptidases family that are involved in the degradation of connective tissues proteins which are included in vascular integrity maintenance. The Genetic deviations in the TIMP-1 genes might impact their expression at the transcription level or the enzyme activity. Therefore, the present study aimed to detect the impact of TIMP-1 serum level and single nucleotide polymorphisms (SNPs) rs41454248 and rs1043428 among the cutaneous leishmaniasis patients’ group compared to the control group. Subjects: Seventy-five cutaneous leishmaniasis patients (39 males and 36 females) with the age mean 23.91 ± 13.14 years participated in this study, compared to the matched number, age, and gender of a healthy control group (75: 38 males and 37 females) with the age mean 22.84 ± 4.35 years. In the current study, the serum level of TIM-1 and rs41454248 and rs1043428 SNPs were studied among the cutaneous leishmaniasis patients’ group compared to the control group. Results: The findings of the TIMP-1 level referred to a significant decrease among the cutaneous leishmaniasis patients’ group compared to the healthy control group (26339.67 ± 900.79 vs. 33480.25 ± 1098.63). Such, the rs41454248 SNPs findings referred that the GG genotype and G allele were non-significantly increased frequency percentage in cutaneous leishmaniasis patients group compared to the healthy control group (29.33 vs. 18.67%, OR: 1.81, p = 0.180; 55.0 vs. 47.0%, OR: 1.38, p = 0.204 respectively). Also, the high OR value of GG genotype and G allele referred to this genotype and allele might be a risk factor for cutaneous leishmaniasis. Likewise, the findings of rs1043428 SNPs appeared that the CC genotype and C allele were significantly increased frequency percentage in cutaneous leishmaniasis patients' group compared to the control group (37.33 vs. 4.0%, OR: 14.30, p = 3.6 × 10−7; 57.0 vs. 21.33, OR: 4.82, p = 4.5 × 10−10). Also, the high OR value of CC genotype and C allele referred to this genotype and allele might be risk factors for cutaneous leishmaniasis. In addition, the CG genotype appeared a non-significant increased frequency percentage in the patients' group compared to the control group and the value of OR referred to might be a risk factor for cutaneous leishmaniasis (33.33 vs. 25.33, OR: 1.47, p = 0.370). In addition, the serum level of TIMP-1 with the rs41454248 was significantly decreased in GA and AA genotypes of the patients’ group compared to the control. While the level was non-significantly decreased in the GG genotype of the patients' group compared to the control group. Likewise, the level of TIMP-1 with the rs1043428 was non-significantly decreased in all genotypes (except TT genotype) of the patients' group compared to the control. Whereas, a significant decrease level was appeared in the TT genotype of the patients' group compared to the healthy control group. Conclusion: The current findings demonstrated a significant association between TIMP-1 serum level and genetic polymorphisms (rs1043428 and rs41454248) among cutaneous leishmaniasis patients.
Autism Spectrum Disorder, also known as ASD, is a neurodevelopmental disease that impairs speech, social interaction, and behavior. Machine learning is a field of artificial intelligence that focuses on creating algorithms that can learn patterns and make ASD classification based on input data. The results of using machine learning algorithms to categorize ASD have been inconsistent. More research is needed to improve the accuracy of the classification of ASD. To address this, deep learning such as 1D CNN has been proposed as an alternative for the classification of ASD detection. The proposed techniques are evaluated on publicly available three different ASD datasets (children, Adults, and adolescents). Results strongly suggest that 1D
... Show MoreSmall ring heterocycles containing nitrogen and sulfur have been under investigation for a long time because of their important medicinal properties. Among the wide range of heterocycles explored to develop pharmaceutically important molecules, thiadiazoles had played an important role in medicinal chemistry. A survey of literature had shown that compounds having thiadiazole nucleus possess a broad range of biological activities such as anti-inflammatory (1), antibacterial (2), and antifungal activities (3). Thiazine-4-one and their derivatives are import classes of compounds in organic and medicinal chemistry. The thiazine-4-one ring system is a core structure in various synthetic pharmaceutical agents, displaying a broad spectrum of biolo
... Show MoreFive derivatives of thiadiazole were prepared with aldehydes and alkyl halides, compoundA: 2-amino-5-thiol-1,3,4- thiadiazole, compound B :2-(o-hydroxybenzylidine)amino-5-thiol-1,3,4-thiadiazole, compoundC: 2(2-butan-lidine)amino-5-thiol-1,3,4-thiadiazole, compound E: 2- amino-5-(2-Propanylthio)-1,3,4-thiadiazol) and compound F:2(o-chlorobenzylamino)-5-(2-propanyl thio)-1,3,4 thiadiazol. All prepared compounds were diagnosed by (IR) and (UV) Spectroscopy. All of those compounds were screened for their anti-microbial activity in vitro. The results show that most of the compounds A, B, C exhibited moderate to good activity against Gram-positive bacteria and the same compound exhibit low to moderate activity on most gram-negative bacte
... Show MoreThe data presented in this paper are related to the research article entitled “Novel dichloro(bis{2-[1-(4-methylphenyl)-1H-1,2,3-triazol-4-yl-κN3 ]pyridine-κN})metal(II) coordination compounds of seven transition metals (Mn, Fe, Co, Ni, Cu, Zn and Cd)” (Conradie et al., 2018) [1]. This paper presents characterization and structural data of the 2-(1-(4-methyl-phenyl)-1H-1,2,3-triazol-1-yl)pyridine ligand (L2 ) (Tawfiq et al., 2014) [2] as well as seven dichloro(bis{2- [1-(4-methylphenyl)-1H-1,2,3-triazol-4-yl-κN3 ]pyridine-κN})metal (II) coordination compounds, [M(L2 )2Cl2], all containing the same ligand but coordinated to different metal ions. The data illustrate the shift in IR, UV/VIS, and NMR (for diamagnetic complexes) peaks wh
... Show MoreA new series of Fe (III) , Co (II) , Ni (II) and Cu (II) complexes of the Schiff base, 5 (2-hydroxy benzylidine) -2-thio ether -1, 3, 4-thiadiazole were prepared and characterized .The imine behaves as a bidentate. The nature of bonding and the stereochemistry of the complexes were deduced from metal analyses, infrared, electronic spectra,magnetic susceptibility and conductivity measurements, an octahedral geometry was suggested for all complexes except the copper complex has a square planar geometry .preliminary in vitro tests for antimicrobial activity show that all the prepared compounds except iron complex display good activity to gram positive Staphelococcus aures and gram negative Escherchia coli.
The N-[(2,3-dioxoindolin-1-yl)-N-methylbenzamide] was prepared by the reaction of acetanilide with isatin then in presence of added paraformaldehyde, the prepared ligand was identified by microelemental analysis, FT.IR and UV-Vis spectroscopic techniques. Treatment of the prepared ligand with the following selected metal ions (CoII, NiII, CuII and ZnII) in aqueous ethanol with a 1:2 M:L ratio, yielded a series of complexes of the general formula [M(L)2Cl2]. The prepared complexes were characterized using flame atomic absorption, (C.H.N) analysis, FT.IR and UV-Vis spectroscopic methods as well as magnetic susceptibility and conductivity measurements. Chloride ion content was also evaluated by (Mohr method). From the obtained data the octahed
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