Background/Aim: Psoriasis is a persistent systemic disorder characterised by chronic inflammation and linked to multiple comorbidities, including arthritis, cardiometabolic disorders, obesity and hyperlipidaemia. Objective of this study was to identify the relationship of abnormal lipid profiles and psoriasis, as well as to pinpoint factors that correlate with disease severity. Methods: A cross-sectional study was carried out at the dermatology clinic over 6 months from the 1 August 2024 to the 1 February 2025. Patients aged 15 years and above with a diagnosis of psoriasis were enrolled. For each patient two sets of data were collected, demographical characteristics (age, sex, disease duration and the body mass index (BMI)) and the lipid profile (total cholesterol (TC), total triglyceride (TG), low-density lipoprotein (LDL) and high-density lipoprotein (HDL)). The psoriasis severity determined by the Psoriasis Area and Severity Index (PASI) and accordingly, the association between patients' BMI and lipid profile with PASI score were assessed. Results: A total of 93 psoriasis patients were recruited over the study period. The mean of the patients age was 45.49 ± 10.71 years with about two-thirds of them being females. Severe psoriasis where significantly correlated with BMI and elevated serum levels of TG and TC, LDL and low levels of HDL, p < 0.001. PASI score had a positive significant correlation with each of BMI (p < 0.001), disease duration (p = 0.046), TC (p < 0.001), TG (p < 0.001) and LDL-C (p = 0.003). On the other hand, the PASI score displayed a significant negative correlation with HDL-C (p < 0.001) Conclusion: A significant association between psoriasis severity and metabolic disturbances, including dyslipidaemia and overweight was found in Iraqi adults with psoriasis.
A specific, sensitive and new simple method was used for the determination of methyldopa in pure and pharmaceutical formulations by using continuous flow injection analysis. This method is based on formation of ion pair compound between methyldopa and potassium hexacyanoferrate in acidic medium to obtain a yellow precipitate complex using long distance chasing photometer (NAG-ADF-300-2). The linear range for calibration graph was 0.05-35 mmol/L for cell A and 0.05-25 mmol/L for cell B, and LOD 1.4292 µg /200 µL for both cells with correlation coefficient (r) 0.9981 for cell A and 0.9994 for cell B, RSD% was lower than 0.5 % for n=8 for. The results were compared with classical method UV-Spectrophotometric at λ max=280 nm and turbi
... Show MoreBackground Fibroblast growth factor receptor 2 (FGFR2) and trinucleotide repeat-containing 9 (TNRC9) gene polymorphisms have been associated with some cancers. We aimed to assess the association of FGFR2 rs2981582 and TNRC9 rs12443621 polymorphisms with hepatocellular cancer risk. Methods One hundred patients with HCV-induced HCC, 100 patients with chronic HCV infection, and 100 controls were genotyped for FGFR2 rs2981582 and TNRC9 rs12443621 using allele-specific Real-Time PCR analysis. Results FGFR2 rs2981582 genotype TT was associated with increased risk of HCC when compared to controls (OR = 3.09, 95% CI = 1.24–7.68). However, it was significantly associated with a lower risk of HCC when using HCV patients as controls (OR =
... Show MoreA multistep synthesis was established for the preparation of a new vanillic acid-1, 2, 4-1triazole-3-thiol conjugate (
Bacteriocin is an important antimicrobial peptide that can be used in industrial and medical fields due to its characteristics of antibacterial, food preservation and anticancer activities. Fifty isolates of Bacillus sp were collected from different soil samples which were already recognized via morphological and biochemical identification process. The isolates were screened for bacteriocin production effective against Staphylococcus spp in order to select the highest producing isolate. The isolate NK16 showed the maximum bacteriocin production (80 AU/ml) which was further characterized as Bacillus subtilis NK 16 through using API identification system (API 20E and API 50CHB). Then, next step was to detect the optimal conditions for maximum
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