34 research outputs found

    Epidemiology of type 2 diabetes in the Middle East and North Africa: Challenges and call for action

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    Type 2 diabetes continues to be a serious and highly prevalent public health problem worldwide. In 2019, the highest prevalence of diabetes in the world at 12.2%, with its associated morbidity and mortality, was found in the Middle East and North Africa region. In addition to a genetic predisposition in its population, evidence suggests that obesity, physical inactivity, urbanization, and poor nutritional habits have contributed to the high prevalence of diabetes and prediabetes in the region. These risk factors have also led to an earlier onset of type 2 diabetes among children and adolescents, negatively affecting the productive years of the youth and their quality of life. Furthermore, efforts to control the rising prevalence of diabetes and its complications have been challenged and complicated by the political instability and armed conflict in some countries of the region and the recent coronavirus disease 2019. Broad strategies, coupled with targeted interventions at the regional, national, and community levels are needed to address and curb the spread of this public health crisis

    Comparison of quality of life in a group of Lebanese type 1 diabetics on insulin pump and those on multiple daily injections

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    Aim: The aim of the study is to investigate the differences in the quality of life (QOL) in Lebanese youths with type 1 diabetes using continuous subcutaneous insulin infusion (CSII) and those using multiple daily injections (MDI) treatment modalities.Methods: A descriptive, cross-sectional, comparative matched design was used. The sample included 36 adolescents and young adults on one of two treatment modalities (CSII or MDI) and matched for age, gender, and level of education. QOL was measured with the Indiana Diabetes Quality of Life for Youth and latest HbA1C level was recorded.Results: The CSII group had significantly lower HbA1C levels (p < 0.001), and reported better health perception (p = 0.029), more satisfaction with life (p = 0.002), less impact of the disease (p = 0.002), and fewer worries about their disease (p = 0.029), compared to the MDI group. The overall quality of life score was also significantly better in the CSII group than in the MDI group (p = 0.001).Conclusions: Findings suggest that CSII is associated with better glycemic control and QOL in the Lebanese youth population with type 1 diabetes

    Increased Receptor Affinity and Reduced Recognition by Specific Antibodies Contribute to Immune Escape of SARS-CoV-2 Variant Omicron.

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    In this report, we mechanistically reveal how the Variant of Concern (VOC) SARS-CoV-2 Omicron (B.1.1.529) escapes neutralizing antibody responses, by physio-chemical characterization of this variant in comparison to the wild-type Wuhan and the Delta variant (B.1.617.2). Convalescent sera, as well as sera obtained from participants who received two or three doses of mRNA vaccines (Moderna-mRNA-1273® or Pfizer-BNT162b2®), were used for comparison in this study. Our data demonstrate that both Delta, as well as Omicron variants, exhibit a higher affinity for the receptor ACE2, facilitating infection and causing antibody escape by receptor affinity (affinity escape), due to the reduced ability of antibodies to compete with RBD-receptor interaction and virus neutralization. In contrast, only Omicron but not the Delta variant escaped antibody recognition, most likely because only Omicron exhibits the mutation at E484A, a position associated with reduced recognition, resulting in further reduced neutralization (specificity escape). Nevertheless, the immunizations with RNA-based vaccines resulted in marked viral neutralization in vitro for all strains, compatible with the fact that Omicron is still largely susceptible to vaccination-induced antibodies, despite affinity- and specificity escape

    Fructose intake and its association with relative telomere length: an exploratory study among healthy Lebanese adults

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    Introduction: Shorter relative telomere length (RTL) has been associated with increased incidence of morbidity. Although still disputed, available evidence suggests that dietary factors, including sugar-sweetened beverages (SSB) may be linked with shorter RTL. It was argued that the link between SSB and RTL may be explained by the sugar content of these beverages, and specifically fructose given its impact on oxidative stress and the inflammatory response. However, none of the existing studies have examined the specific link between fructose intake and RTL. This exploratory study aimed at (1) assessing the intake of dietary fructose (total, added and natural) in Lebanese healthy adults and (2) examining dietary fructose as a predictor of short telomere length. Methods: Following a cross-sectional design (n = 282), anthropometric and biochemical data were collected. RTL was assessed by utilizing real-time polymerase chain reaction (RT-qPCR) to amplify both telomere and single-copy gene segments. Dietary intake was evaluated using a culture-specific food frequency questionnaire (FFQ). Intakes of added fructose, naturally-occurring fructose, and total fructose were estimated. Results: Mean intakes of added and natural fructose were of 39.03 ± 34.12 and 12.28 ± 8.59 g/day, respectively, representing 4.80 ± 3.56 and 1.78 ± 1.41% of total energy intake (EI). Mean total fructose intake was of 51.31 ± 35.55 g/day, contributing 6.58 ± 3.71% EI. Higher intakes of total and added fructose were significantly associated with shorter RTL 2nd RTL tertile as compared to the 3rd RTL tertile; relative risk ratio (RRR) = 3.10 [95% confidence interval (CI): 1.38, 6.94] and RRR = 2.33 (95% CI: 1.02, 5.36), respectively after adjustment for confounders identified using a directed acyclic graph (DAG). Conclusion: In conclusion, although we could not observe a dose-dependent relation between fructose intakes and RTL shortening and although the study is limited by its small sample size, the findings suggest that total and added dietary fructose intakes may be associated with shorter RTL. Larger studies, of longitudinal nature, are needed to further confirm the study findings.The authors declare financial support was received for the research, authorship, and/or publication of this article. This research was funded by different grants from the University Research Board (American University of Beirut), the Medical Practice Plan (American University of Beirut), the National Council for Scientific Research (LNCSR), the Munib Shahid Fund, and the Novo Nordisk development program

    Experiences and Health Outcomes of Emerging Adults with Type 1 Diabetes: A Mixed Methods Study

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    Background Emerging adults with type 1 diabetes are at risk of poorer diabetes-related health outcomes than other age groups. Several factors affecting the health and experiences of the emerging adults are culture and healthcare specific.Objectives The aim of this study was to explore the experience of emerging adults living with type 1 diabetes in Lebanon, describe their diabetes self-care and diabetes-related health outcomes (HbA1c and diabetes distress), and identify the predictors of these outcomes.Methods A convergent mixed methods design was used with 90 participants aged 18-29 years. Sociodemographic, clinical data, and measures of diabetes distress, social support, and self-care were collected. Fifteen emerging adults participated in individual semi-structured interviews. Multiple linear regression was used to determine predictors of diabetes outcomes. Thematic analysis was used to analyze qualitative data. Data integration was used to present the mixed methods findings.Results The study sample had a mean HbA1c of 7.7% (SD = 1.36) and 81.1 % reported moderate to severe diabetes distress levels. The participants had good levels of diabetes self-care and high levels of social support. HbA1c was predicted by insulin treatment type, age at diagnosis, and diabetes self-care; while diabetes distress was predicted by diabetes knowledge, blood glucose monitoring approach, and diabetes self-care. “Living with type 1 diabetes during emerging adulthood: the complex balance of a chemical reaction” was the overarching theme of the qualitative data, with three underlying themes: “Breaking of bonds: changes and taking ownership of their diabetes”, “The reactants: factors affecting the diabetes experience”, and “Aiming for equilibrium”. The integrated mixed methods results revealed one divergence between the qualitative and quantitative findings related to the complexity of the effect of received social support.Discussion The suboptimal health of the emerging adults despite good self-care highlights the importance of addressing cultural and healthcare specific factors such as diabetes knowledge and public awareness, social support, and availability of technology to improve diabetes health. Findings of this study can guide future research, practice, and policy development

    Western diet induces mild metabolic impairment and aggravates neuropathology in an experimental mouse model of traumatic brain injury

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    Traumatic brain injury (TBI) and lifestyle habits such as Western diet (WD) consumption represent two risk factors that affect an individual's health outcome globally. Individuals with TBI have a greater risk of mortality from associated chronic diseases than the general population. WD has been shown to impair cognitive function, decrease the brain's capacity to compensate for insult by affecting recovery as well as induce metabolic syndrome (MetS) which may be a risk factor for poor TBI prognosis. Hence, this study aims to investigate the impact of WD on TBI behavioral outcomes and neuropathology. Eight-week-old male C57BL6 mice were fed either WD or normal chow for 4 weeks prior to TBI induction. At week four, mice underwent either an experimental open-head TBI or a sham procedure. Mice continued their respective diets for four weeks after brain injury. Metabolic, cognitive function, and molecular assessment were performed four weeks after TBI. Results showed that while WD significantly increased fat percentage and elevated plasma cholesterol, there was no change in blood glucose level or body weight, indicating an early stage of MetS. Nevertheless, this was associated with neuroinflammation and impaired cognitive functions. However, there was no significant impact on cardiovascular function and mitochondrial bioenergetics. Importantly, the mild MetS induced by WD triggered basal motor, cognitive deterioration and exacerbated the long-term neuropathology of TBI. Taken together, our work highlights the magnitude of the contribution of lifestyle factors including the type of diet, even in the absence of overt metabolic consequences, on the neurobehavioral prognosis following TBI.This work was funded by grant number 45912 from the Science, Technology and Innovation Funding Authority, Egypt to AFE

    Motor Lateralization in Manic Males

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    Polycystic Ovary Syndrome: Pathophysiology and Controversies in Diagnosis

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    Polycystic ovary syndrome (PCOS) is a complex and heterogeneous disorder that commonly affects women in the reproductive age group. The disorder has features that propose a blend of functional reproductive disorders, such as anovulation and hyperandrogenism, and metabolic disorders, such as hyperglycemia, hypertension, and obesity in women. Until today, the three implemented groups of criteria for the diagnosis of PCOS are from the National Institutes of Health (NIH) in the 1990s, Rotterdam 2003, and the Androgen Excess Polycystic Ovary Syndrome 2009 criteria. Currently, the most widely utilized criteria are the 2003 Rotterdam criteria, which validate the diagnosis of PCOS with the incidence of two out of the three criteria: hyperandrogenism (clinical and/or biochemical), irregular cycles, and polycystic ovary morphology. Currently, the anti-Müllerian hormone in serum is introduced as a substitute for the follicular count and is controversially emerging as an official polycystic ovarian morphology/PCOS marker. In adolescents, the two crucial factors for PCOS diagnosis are hyperandrogenism and irregular cycles. Recently, artificial intelligence, specifically machine learning, is being introduced as a promising diagnostic and predictive tool for PCOS with minimal to zero error that would help in clinical decisions regarding early management and treatment. Throughout this review, we focused on the pathophysiology, clinical features, and diagnostic challenges in females with PCOS
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