Aim: To identify the penicillin resistance organisms in soil sample collected from the hospital area. Methods: Bacteria were grown on nutrient agar medium and sub cultured in nutrient broth with different concentrations of Penicillin. The resistance organisms were characterized by 16s rRNA gene sequencing and blast analysis. Results: A total of 21 cultural were identified as penicillin resistance organisms. Out of 21 cultures we have characterized four cultures and identified as Pseudomonas putida, Pseudomonas fluorescens, Comamonas sp. KBB4, Bacterium SM2-6. Conclusion: Pseudomonas putida, Pseudomonas fluorescens, Comamonas sp. KBB4, Bacterium SM2-6. Four cultures were identified as penicillin resistance organisms. Remaining 17 cultures need to characterize.

Streptococcus pneumoniae or pneumococcus is a type of bacteria that may cause a great variety of diseases some of which are rather dangerous. Certain strains of streptococcal pneumoniae are more apt to cause a disease than others due to special characteristics they have. Due to several factors among which is the formation of capsules, surface proteins, and toxins, like pneumolysin, bacteria can cause tissue damage and enable them to evade the host immune system. The study was conducted with the use of the multiplex assay in order to examine the influence of this chronic inflammation around the implant on the expression level of the inflammatory cytokines on the organismal level. Cytokine systemic induction in the model of mouse was species specific. Compared to the tissues of individual infections or sterile implants, there was an entirely different manner in which infected implants elicited cytokines. Interactions between factors of tissue, implant materials and bacteria factors are major contributors in the pathophysiology of peri-implant disorders through high levels of inflammation. Most recent studies have associated conditions of long-term inflammation with the type of bacteria that lead to the peri-implant infections. Biomaterial-related infection usually led to the determination of pro-inflammatory cytokines including IL-9, IL-12, and IL-13. These facts of massive infiltration and long-term persistence of the host immune cells in cases of biomaterial-related infections raise a question that whether these infections contribute more to the development of inflammatory responses.

Background: Secondary metabolites, or SMs, are substances that are necessary for an organism's (cell's) survival yet have an impact on the organism's surroundings. These substances are important for protecting plants from biotic and abiotic stressors. Secondary metabolites are members of the other metabolite families and can be highly generated in response to stress. By participating in nutrition and reproduction, primary metabolites play a crucial role in providing metabolic activities. Accordingly, a small number of SMs are particularly chemical, such as medications, tastes, scents, insecticides, and dyes, and are consequently very cost-effective. Purposes: The current study's objectives are: Evaluation of the extract from Coriandrum sativum seeds' antimicrobial and anti-diabetic (a-glucosidase and a-amylase) inhibitory properties as well as the identification of its bioactive chemical components. Materials and Methods: In the Hillah secondary city's local market, the coriander seeds were ground into a powder. It is ground to expand the surface area and speed up the extraction process. Glass beads and sample were combined in a 2:1 v/v ratio for the experiment. One hundred grammes of the sample was put into the glass-bead extraction jar, and it was extracted for around four hours, or until the extraction was finished. To make sure the extraction process was completed, the extract was harvested every 30 minutes, and the obtained oil was weighed right away. Results: Peak Wave number cm-ˡ, Intensity, Type of Intensity, Bond, Type of Vibration, and Functional group assignment were as follows: (667.37, 67.245, Strong, =C–H, Alkenes), (794.67, 77.258, Strong, =C–H, Alkenes), (1045.42, 65.642, Strong, C-F, alkyl halides), (1238.30, 81.459, Strong, C-F, alkyl halides), (1519.91, 75.457, Medium, C=C, Aromatic), (1531.48, 74.327, Medium, C=C, Aromatic), (1633.71, 68.420, Bending, N-H, Amide), (2854.65, 86.016, Strong, C-H, Alkane), (2924.09, 81.209, Strong, C-H, Alkane), (3163.26, 84.032, Strong, C-H, Alkane). Based on the extract type (Crude methanolic extract, ethanolic fraction, and standard acarbose), the corresponding inhibitory potencies against α-amylase were 89.73±0.54, 61.10±0.27, and 17.30 ± 0.09, respectively. 63.25±0.29, 31.83±0.15, and 15.89±0.06 were the measured inhibitory potencies against α-glucosidase activity, respectively. At a significantly (P < 0.05) lower concentration, crude methanolic extract demonstrated a better percentage inhibition against α-amylase than the antidiabetic medication acarbose (72.16%).