ABSTRACT
Background: The outbreak of the coronavirus disease 2019 (COVID-19) has become an evolving worldwide health crisis. With the rising prevalence of diabetes mellitus has come an increasing awareness of their impacts on infectious diseases, and the risk for postinfection complications and mortality from critical infections. Objective: The objective of this study was to evaluate the prevalence and impact of diabetes mellitus on the severity and mortality of COVID-19. Methods: Data of laboratory-confirmed hospitalized patients at the COVID-19 unit between September 2020 and August 2021 were analyzed, in a cross-sectional study. The population was classified into two groups: COVID-19 patients with and without diabetes. Primary outcomes were the overall length of hospital stay, the admission to the ICU, and death. The association between diabetes and death was assessed in a Cox proportional hazards model. Results: A total of 866 patients were included. There were 270 (31.2%) patients with diabetes. Diabetic patients were more likely to have hypertension (58.1 vs. 33.4%), cardiovascular disease (18.5 vs. 10.4%), and dyslipidaemia (17.8 vs. 7.2). Overall, 263 patients died, among them only 86 in the diabetic group (P=0.523). Patients with diabetes had a higher risk of developing complications (P<0.001). Multivariate Cox regression analysis showed that diabetes was not significantly associated with death [HR (95% CI): 1.253 (0.963-1.631)]. Conclusion: Diabetes was associated with a greater risk of complications in patients with COVID-19. Special attention to diabetic patients during treatment must be given to avoid these complications.
ABSTRACT
Pseudohypoparathyroidism (PHP) indicates a rare heterogeneous group of disorders characterized by hypocalcemia, hyperphosphatemia, increased serum concentration of parathyroid hormone (PTH), and insensitivity to the biologic activity of PTH. One of its most common types is PHP-1a. In this report, we present a familial PHP-1a and a novel mutation of the GNAS gene.
ABSTRACT
Polyunsaturated fatty acids (PUFAs) are closely related to various physiological conditions. In several age-related diseases including Alzheimer's disease (AD) altered PUFAs metabolism has been reported. However, the mechanism behind PUFAs impairment and AD developpement remains unclear. In humans, PUFAs biosynthesis requires delta-5 desaturase (D5D), delta-6 desaturase (D6D) and elongase 2 activities; which are encoded by fatty acid desaturase 1 (FADS1), fatty acid desaturase 2 (FADS2), and elongation of very-long-chain fatty acids-like 2 (ELOVL2) genes, respectively. In the present work, we aim to assess whether genetic variants in FADS1, FADS2 and ELOVL2 genes influence plasma and erythrocyte PUFA composition and AD risk. A case-control study was carried out in 113 AD patients and 161 healthy controls.Rs174556, rs174617, and rs3756963 of FADS1, FADS2, and ELOVL2 genes, respectively were genotyped using PCR-RFLP. PUFA levels were quantified using Gas Chromatography. Genotype distributions of rs174556 (FADS1) and rs3756963 (ELOVL2) were different between case and control groups. The genotype TT of rs174556 and rs3756963 single nucleotide polymorphism (SNP) increases significantly the risk of AD in our population. PUFA analysis showed higher plasma and erythrocyte arachidonic acid (AA) level in patients with AD, whereas only plasma docosahexaenoic acid (DHA) was significantly decreased in AD patients. The indexes AA/Dihomo-gamma-linolenic acid (DGLA) and C24:4n-6/Adrenic acid (AdA) were both higher in the AD group. Interestingly, patients with TT genotype of rs174556 presented higher AA level and AA/DGLA index in both plasma and erythrocyte. In addition, higher AA and AA/DGLA index were observed in erythrocyte of TT genotype ofrs3756963 carrier's patients. Along with, positive correlation between AA/DGLA index, age or Gamma-linolenic acid (GLA)/ Linoleic acid (LA) index was seen in erythrocyte and /or plasma of AD patients. After adjustment for confounding factors, the genotype TT of rs174556, erythrocyte AA and AA/DGLA index were found to be predictive risk factors for AD while plasma DHA was found associated with lower AD risk. Both rs174556 and rs3756963 influence AD risk in the Tunisian population and they are likely associated with high AA level. The combination of the two variants increases further the susceptibility to AD. We suggest that FADS1 and ELOVL2 variants could likely regulate the efficiency of AA biosynthesis which could be at the origin of inflammatory derivate.
