This study aimed to study the inhibition activity of purified bacteriocin produced from the local isolation Lactococcuslactis ssp. lactis against pathogenic bacteria species isolated from clinical samples in some hospitals Baghdad city. Screening of L. lactis ssp. Lactis and isolated from the intestines fish and raw milk was performed in well diffusion method. The results showed that L. lactis ssp. lactis (Lc4) was the most efficient isolate in producing the bacteriocin as well observed inhibitory activity the increased that companied with the concentration, the concentration of the twice filtrate was better in obtaining higher inhibition diameters compared to the one-fold concentration. The concentrated bacteriocin was purified using the gel filtration column and Sephacryl S-200. The results showed the high inhibitory activity of the purified bacteriocin after the purification against the positive and negative bacteria of the Gram stain under study compared to the one-fold concentration and two-fold before purification , The diameters of the inhibition zones after gel-filtering of the purified bacteriocin reached S. aureus, S. epidermidis, P. aeruginosa, E. coli, E. clocae and S. marcescens (23, 25, 26, 20, 22 and 28) Mm respectively. The carbohydrate content of purified bacteriocin from L. lactis ssp. lactis (Lc4) isolate was 6.02% with a molecular weight of 6310 Dalton. The results showed that purified bacteriocin retained its inhibitory activity at pH 2-10 and showed the highest inhibition at pH 4-6 and lost at pH 12. The purified bacteriocin was characterized by thermal stability. It retained its effectiveness when exposed to 40, 60, 80, 100°C for 30, 15, 5 minutes and 120°C for 15.5 minutes and lost 50% of its effectiveness when exposed to 120°C for 30 minutes. Results The purified bacteriocin was effectively retained when treated with enzyme pepsin and trypsin of 37°C for one hour and at pH 7.
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The purpose of this study was to measure serum levels of insulin-like growth factor-binding protein (IGFBP7), Insulin-like Growth Factor 1 (IGF-1), Growth Hormone (GH), Interleukin 6 (IL-6) and insulin in acromegaly patients and healthy controls. The acromegaly group had 60 patients, while the population group had 30 people who had never had acromegaly before. The concentration of IGFBP7, IGF-1, GH, IL-6, and insulin were determined. The results of the present study indicate that IGFBP7 level in the acromegaly group was significantly lower (1.690.07 ng/mL vs. 2.740.12 ng/mL, respectively, p = 0.001). IGF-1, GH, IL-6, and insulin concentrations were also significantly higher in acromegaly patients. The diagnostic accuracy (2.194) was exce
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Background: Inflammatory bowel disease (IBD) is a collection of chronic, recurrent inflammatory illnesses of the gastrointestinal system, including Crohn's disease (CD). Infliximab is one of the biological medications used to treat CD. Therapeutic drug monitoring has evolved as a treatment in IBD, aiming to optimize benefit while meeting more demanding, objective end criteria. Objective: To determine the achievement of target trough level (TL), develop anti-drug antibodies (ADAs) to infliximab, assess response to therapy, and study TL relations with different variables. Methods: The present study was cross-sectional and conducted from May 2022 to November 2022. It included 40 CD patients allotted into 2 groups: group 1 patients ach
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Software-defined networks (SDN) have a centralized control architecture that makes them a tempting target for cyber attackers. One of the major threats is distributed denial of service (DDoS) attacks. It aims to exhaust network resources to make its services unavailable to legitimate users. DDoS attack detection based on machine learning algorithms is considered one of the most used techniques in SDN security. In this paper, four machine learning techniques (Random Forest, K-nearest neighbors, Naive Bayes, and Logistic Regression) have been tested to detect DDoS attacks. Also, a mitigation technique has been used to eliminate the attack effect on SDN. RF and KNN were selected because of their high accuracy results. Three types of ne
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