Publications by authors named "Dashti M"

Background: Multisystem inflammatory syndrome in children (MIS-C) is a severe complication arising from SARS-CoV-2 infection, with indications that rare inborn errors of immunity may play a role in its pathogenesis. Recent studies suggest that genetic predispositions, particularly monogenic forms, could significantly influence the immune responses to SARS-CoV-2 in MIS-C.

Methods: We analysed 24 children under 12 years old, all of whom met the criteria provided by the World Health Organization, 2020 for MIS-C diagnosis, from the Paediatric COVID-19 Registry in Kuwait (PCR-Q8).

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To further evaluate the effects of lymphocyte immunotherapy (LIT) for the treatment of RPL patients this study aimed to utilize this type of treatment in RPL patients with positive antinuclear antibodies (ANA) in comparison to ANA-negative RPL women. To this aim, 84 ANA-positive, 114 ANA negative, and 50 healthy pregnant women were recruited. To examine the frequency of cells before and after LIT, flowcytometry technique was employed.

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In response to distinct cellular stresses, the p53 exhibits distinct dynamics. These p53 dynamics subsequently control cell fate. However, different stresses can generate the same p53 dynamics with different cell fate outcomes, suggesting that the integration of dynamic information from other pathways is important for cell fate regulation.

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The integration of artificial intelligence (AI) into dental imaging has led to significant advancements, particularly in the analysis of panoramic radiographs, also known as orthopantomograms (OPGs). One emerging application of AI is in determining gender from these radiographs, a task traditionally performed by forensic experts using manual methods. This systematic review and meta-analysis aim to evaluate the accuracy of AI algorithms in gender determination using OPGs, focusing on the reliability and potential clinical and forensic applications of these technologies.

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Background: Numerous studies have linked mitochondrial dysfunction to the development of type 2 diabetes (T2D) by affecting glucose-stimulated insulin secretion in pancreatic beta cells and reducing oxidative phosphorylation in insulin-responsive tissues. Given the strong genetic underpinnings of T2D, research has explored the connection between mitochondrial DNA haplogroups, specific variants, and the risk and comorbidities of T2D. For example, haplogroups F, D, M9, and N9a have been linked to an elevated risk of T2D across various populations.

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Background: In recent years, artificial intelligence (AI) and deep learning (DL) have made a considerable impact in dentistry, specifically in advancing image processing algorithms for detecting caries from radiographical images. Despite this progress, there is still a lack of data on the effectiveness of these algorithms in accurately identifying caries. This study provides an overview aimed at evaluating and comparing reviews that focus on the detection of using DL algorithms from 2D radiographs.

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Unlabelled: This study explores the frequency of human leukocyte antigen (HLA) genes, particularly alleles, within the Kuwaiti population. We aim to identify alleles with known associations to adverse drug reactions (ADRs) based on existing literature. We focus on the gene due to its well-documented associations with severe cutaneous adverse reactions and the extensive pharmacogenetic research supporting its clinical relevance.

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Article Synopsis
  • The study investigates the relationship between mitochondrial DNA (mtDNA) variants and obesity risk in Kuwaiti and Qatari populations, to address the high obesity prevalence in these regions.
  • Analysis of whole exome sequencing data from 1,112 participants identified haplogroup R as having a protective effect against obesity, with statistically significant results even after adjusting for age and sex.
  • While several mtDNA variants showed initial associations with obesity, they lost significance after further testing; the findings suggest haplogroup R could serve as a biomarker for obesity risk, warranting more research for confirmation.
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Aim: To investigate the effect of using base-out prisms on nystagmus, visual acuity and contrast sensitivity in patients with albinism.

Methods: In this interventional study, patients with albinism who had nystagmus were enrolled. A comprehensive eye exam was conducted, which included refraction, assessment of far and near vision acuity, and contrast sensitivity measurements.

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  • The study investigates the use of mannose-targeted poly(lactic-co-glycolic acid) nanoparticles (NPs) for sublingual immunotherapy targeting allergic respiratory diseases caused by ovalbumin (Ova).
  • Different treatment methods were tested on Ova-sensitized mice, including mannose-targeted NPs, and various immune responses were measured.
  • Results showed that mannose-targeted NPs significantly reduced allergic markers and improved immune responses, suggesting potential for better allergen-specific immunotherapy, but more research is needed for human application.
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  • Scientists are using artificial intelligence (AI) to help dentists find fractures in the jaw by looking at special X-ray images.
  • A study looked at many research papers and found that AI can be pretty good at spotting these fractures, but only five studies were reliable enough to include in this review.
  • The results show that while AI can be useful, there needs to be more research with bigger and different sets of X-ray images to make sure it works well in real dental offices.
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  • Recent AI tools like ChatGPT are changing healthcare and education, and this study checked how well ChatGPT did on dental exam questions.
  • ChatGPT 3.5 and 4 were tested on various U.S. dental exams, showing good accuracy, especially ChatGPT 4, which did really well on the DAT exam.
  • Both versions handled most questions well, but they struggled with math questions, meaning there's room for improvement in that area.
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Budesonide (BDS) a steroid-based anti-inflammatory drug widely prescribed for various diseases, has a low aqueous solubility. In this study, we investigated cosolvency approach to study the thermodynamic specifications related to the solubility of BDS at the temperature range of 293.2-313.

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Background And Objective: The COVID-19 pandemic spread rapidly throughout the world and caused millions of deaths globally. Several vaccines have been developed to control the COVID-19 pandemic and reduce the burden it placed on public health. This study aimed to assess the efficacy of different vaccine platforms in inducing potent antibody responses.

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Article Synopsis
  • Pancreatic cancer (PC) is highly lethal with low survival rates, largely due to challenges like drug resistance and an immunosuppressive tumor microenvironment (TME).
  • The TME, particularly the role of macrophages (M1 and M2 types), is crucial in tumor growth and progression, presenting an opportunity for new treatment strategies.
  • Innovative therapeutic approaches targeting tumor-associated macrophages (TAMs) could enhance anti-tumor responses, improve chemotherapy efficacy, and potentially change the treatment landscape for pancreatic cancer.
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Introduction: This study examines the efficacy and safety of three COVID-19 booster vaccines including mRNA-based vaccines (BNT162b2 (BioNTech/Pfizer) and/or mRNA-1273 (Moderna)), Non-Replicating Viral-Vector vaccines (ChAdOx1 nCoV-19 vaccine (AstraZeneca) and/or Ad26. COV2.S (Johnson & Johnson)), and Protein Subunit vaccine (SpikoGen) in immunosuppressed patients.

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Reported here are the sequences for 11 and four strains isolated from post-menopausal women with a recurrent urinary tract infection. Each of the strains were isolated along with an strain. This provides a resource of high-quality complete genomes from polymicrobial infections.

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HLA typing is a critical tool in both clinical and research applications at the individual and population levels. Benchmarking studies have indicated HLA-HD as the preferred tool for accurate and comprehensive HLA allele calling. The advent of next-generation sequencing (NGS) has revolutionized genetic analysis by providing high-throughput sequencing data.

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Introduction: Unbearable post-hemorrhoidectomy pain is a well-documented challenge, significantly impacting patient well-being and satisfaction after surgery, often influencing patients to decline in undergoing this procedure. It is widely recognized that methylene blue has an effect of reducing inflammation and pain by reduces the production of nitric oxide and inhibiting the action potentials production in nerves. This study aims to explore the potential benefits of postoperative regional administration of methylene blue in providing extended relief from post-hemorrhoidectomy pain.

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Article Synopsis
  • SARS-CoV-2, the virus behind COVID-19, has evolved into several variants since its emergence in late 2019, including the notable Omicron and Delta variants.
  • A systematic review assessed the differences between these variants by analyzing 58 articles and over 10,000 pieces of evidence.
  • Findings indicate that Omicron is linked to lower hospitalization and severity rates compared to Delta, highlighting the need for ongoing monitoring and updated vaccination strategies.
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Background: The objective is to compare the impact of clear aligner treatment (CAT) versus conventional fixed appliance treatment (FAT) on oral health-related quality of life (OHRQoL) among adults at five-time points: pretreatment (T0), 1 week (T1), 1 month after (T2), and 6 months after (T3) treatment initiation, and in the long-term follow-up (T4).

Materials And Methods: Search terms were based on Medical Subject Headings (MeSH) and non-MeSH. Potentially eligible studies compared OHRQoL in clear aligner (CA) and fixed appliance (FA) patients.

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Introduction: COVID-19 caused by SARS-CoV-2, commonly presents with symptoms such as fever and shortness of breath but can also affect other organs. There is growing evidence pointing to potential eye complications. In this article, we aim to systematically review the ocular manifestations of COVID-19.

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Lung cancer poses a significant health threat globally, especially in regions like India, with 5-year survival rates remain alarmingly low. Our study aimed to uncover key markers for effective treatment and early detection. We identified specific genes related to lung cancer using the BioXpress database and delved into their roles through DAVID enrichment analysis.

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Article Synopsis
  • - The COVID-19 pandemic has resulted in significant underreporting of cases due to a large number of asymptomatic infections, making it crucial to accurately estimate the true number of infections for effective treatment and prevention strategies.
  • - A systematic review of seven studies from various regions used respondent-driven sampling (RDS) methods to analyze COVID-19 prevalence, revealing that actual infection rates were often two to fifty times higher than reported cases, with specific rates found at 2.6% in Sierra Leone and 2.4% in Austria.
  • - The findings highlight the effectiveness and cost-efficiency of RDS in identifying hidden populations of COVID-19, suggesting that this approach could be useful for future epidemics to better assess and respond to
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