No abstract

Non-alcohol fatty liver disease (NAFLD) is the world's most common liver disease. In Western countries, the prevalence between 20 and 30 % is reported among the adult population. Nutrition, excess intake of saturated fats, and high caloric food, along with low intake of vegetables, fruits, proteins, grains, and 3-Fatty Acids are key causes of NAFLD growth. Human beings have nearly one thousand bacterial organisms and several millions of bacteria, with 150-time more genes than the human genome colonizing in the human intestinal tract. Firmicutes (Lactobacillus, Peptoniphilus, Ruminococcus, Clostridium, and Eubacteria), and Bacteroidetes (Bacteroides, Prevotella) are the two main phyla in the human intestines. However, the components and presence of gut microbiota vary due to a high heterogeneity among people due to several factors as age, sex, general conditions, pregnancy, hormonal changes, traveling, infection, and drugs as chemotherapeutic agents or proton pump inhibitors. We aim to demonstrate the effect of gut microbiota in the development of NAFLD.

Back ground/aimsTo analyse different parameters of the macula, disc and their vascular affection using optical coherence tomography (OCT) and angiography (OCT-A) in patients with multiple sclerosis (MS) correlating these changes to PARP-1 gene expression in blood.MethodsThis cross-sectional study included 80 eyes of the clinically diagnosed relapsing-remitting phenotype of MS. The study included three groups; group (A) included 40 eyes of 20 patients with MS with a history of optic neuritis (MS+ON), group (B) included 40 eyes of 20 patients with MS without a history of ON (MS-ON) and group (C) (the control group) consisted of 40 eyes of 20 matched participants not suffering from any ocular or systemic disease. OCT and OCT-A, RTVue (Optovue, Fermont, California, USA) were done for all eyes for evaluating the macular and disc changes. Qualitative real-time PCR for estimation of PARP1 gene expression level was performed for all patients.ResultsPARP-1 gene expression level showed a significant difference in comparing the three groups, with the highest level being for the (ON+) group (p<0.0009). Significant negative correlations were found between PARP-1 gene expression level and central macular thickness, total macular volume and full foveal vessel density thickness. ROC curve constructed by plotting the area under the receiver operating characteristic curve value was (0.9) for PARP-1 gene expression level.ConclusionsPARP-1 may play an important role in the development of the ON cascade in patients with MS and may be a biomarker for diagnosing and a potential molecular target of ON in MS patients’ therapy. In addition to the OCT and OCT-angio changes that could be detected retrospectively, PARP-1 gene expression level could be considered a prospective detector to complete the full-blown picture of MS (ON+) early and prevent blindness.

Since the start of the pandemic, the number of cases has been increased rapidly. Due to asymptomatic and mild cases and restricted testing in many geographic locations, the overall number of actual COVID-19 cases is likely significantly higher than the number of verified cases. Several COVID-19-related comorbid diseases impair immune system function, which has an impact on COVID-19 responsiveness. So, we evaluated the immune response to SARS-CoV-2 after the third wave of COVID-19 and assessed the effect of comorbid diseases on this immune response. The current cross-sectional study was conducted in August 2021 after the third wave of COVID-19. The study included 287 participants. All participants were asked about their epidemiological data, comorbid diseases, data suggesting COVID-19 infection, and precautions measures to minimize the exposure to the disease. Of the 278 participants, 50% had a positive IgG response to COVID-19. Regarding comorbid diseases, the IgG antibody titer was significantly lower in patients with chronic kidney diseases (CKD) on dialysis, ischemic heart disease, and chronic obstructive lung diseases than other participants (p= 0.01, p= 0.02, p= 0.005, respectively). Neither precaution measures nor comorbid diseases had a role in risk factors of COVID-19 infections in our participants. In conclusion, high seroprevalence (50%) of SARS-CoV-2 IgG antibody after the third wave of COVID-19 was observed in the current study. Comorbid conditions as hypertension, chronic cardiac diseases, chronic chest problems, and CKD on dialysis could decrease the immune response against COVID-19 infection.