Editors-in-Chief
Dr. Roberta Fusco
University of Messina, Italy
Molecular Mechanism Research
|
3029-2212 (Online) Journal Abbreviation:
|
ISSN: 3029-2212(Online) The article processing charges is $800 per article. |
ISSN: Table of Contents
Open AccessArticles
by Tasnim Shamrin, Mohamed NurMohamed, Abu BakarSiddik, Sadia Islam, Nayem Sarker, Sajib Halder, Tanzila Akter, Md. AshiqurRahman
2024,2(2);
58 Views
Abstract
Background: Metabolic syndrome (MetS) is a significant global public health concern. Each component of MetS is linked to various non-communicable chronic diseases, including type 2 diabetes mellitus (T2DM), coronary artery disease (CAD), cerebrovascular disease, and non-alcoholic fatty liver disease (NAFLD), which collectively are major causes of mortality worldwide. Aims: This study aimed to investigate the association between serum gamma-glutamyl transferase (GGT) levels and the risk of MetS and insulin resistance (IR) in a sample of adults, exploring how GGT levels correlate with MetS components and IR markers. Additionally, we examined whether these associations vary by gender. Methods: A total of 440 participants were selected for this study, including 196 individuals diagnosed with MetS and 244 without. Participants were selected based on predefined criteria from those attending the outpatient department of a biochemistry clinic in Dhaka, Bangladesh. Logistic regression analysis was conducted, adjusting for potential confounders, including age, sex, body mass index (BMI), alanine aminotransferase (ALT), uric acid, and low-density lipoprotein cholesterol (LDL-C), to assess the odds ratios (95% CI) for MetS across GGT tertiles. Results: Logistic regression analysis indicated that, after adjusting for confounders, the odds ratios for MetS increased significantly across GGT tertiles (1, 1.22 (0.36-4.12), p=0.738; 5.09 (2.06-12.58), p
show more
Open AccessArticles
by Abdullahi Tukade, Hassan MohamudDirie, Marian OmarOsman, Kassim HagiHossain, Md BiplobHossain, Abdirahim Ahmed, Chomel Mahbub, Afrin Haque, Md. AshiqurRahman, Sadia Islam
2024,2(2);
437 Views
Abstract
Bacterial infections remain a major global health concern, contributing significantly to morbidity and mortality. While antimicrobials have been effective in treating these infections, the rising threat of antimicrobial resistance (AMR) has complicated management strategies. Methodology: This study investigates the antimicrobial resistance (AMR) patterns of bacterial isolates from clinical specimens at Nova Diagnostics and Research in Mogadishu, Somalia, over a three-year period from June 2021 to July 2024. Result: A total of 650 patient specimens were analyzed, with bacterial growth identified in 647 samples. Among these, 98.2% were Gram-negative and predominantly aerobic, while 1.4% were Gram-positive, all aerobic. The most frequently isolated pathogens were Staphylococcus spp. (43.4%), followed by Escherichia coli (17.2%), Klebsiella (13.1%), and Pseudomonas (7.2%). Antimicrobial resistance was particularly concerning among Gram-negative bacteria. Staphylococcus exhibited high resistance to erythromycin (66.6%) and tetracycline (50.7%). Escherichia coli showed 84.8% resistance to ampicillin, while Klebsiella demonstrated 90.5% resistance to ampicillin. Gram-positive bacteria commonly exhibited resistance to Erythromycin, Trimethoprim/Sulfamethoxazole, Rifampicin, and Vancomycin. Conclusion: The high prevalence of resistant strains, particularly among Gram-negative bacteria like Staphylococcus spp. and Escherichia coli, presents significant challenges to effective treatment. The widespread resistance to multiple antibiotics underscores the urgent need for enhanced infection control, improved surveillance systems and researches, and comprehensive antimicrobial stewardship programs.
show more