Medicine and Health Sciences Commons^™

Genetic And Immunological Insights Into Covid-19 With Acute Myocardial Infarction: Integrated Analysis Of Mendelian Randomization, Transcriptomics, And Clinical Samples, Zequn Zheng, Yueran Zhou, Yongfei Song, Pengxiang Ying, Xuerui Tan

Research outputs 2022 to 2026

Background: Globally, most deaths result from cardiovascular diseases, particularly ischemic heart disease. COVID-19 affects the heart, worsening existing heart conditions and causing myocardial injury. The mechanistic link between COVID-19 and acute myocardial infarction (AMI) is still being investigated to elucidate the underlying molecular perspectives. Methods: Genetic risk assessment was conducted using two-sample Mendelian randomization (TSMR) to determine the causality between COVID-19 and AMI. Weighted gene co-expression network analysis (WGCNA) and machine learning were used to discover and validate shared hub genes for the two diseases using bulk RNA sequencing (RNA-seq) datasets. Additionally, gene set enrichment analysis (GSEA) and single-cell RNA-seq …

Diagnostic Accuracy Of Autoverification And Guidance System For Covid-19 Rt-Pcr Results, Yingmu Cai, Mengyu Liu, Zhiyuan Wu, Cuihong Tian, Song Qiu, Zhen Li, Feng Xu, Wei Li, Yan Zheng, Aijuan Xu, Longxu Xie, Xuerui Tan

Research outputs 2022 to 2026

Background:

To date, most countries worldwide have declared that the pandemic of COVID-19 is over, while the WHO has not officially ended the COVID-19 pandemic, and China still insists on the personalized dynamic COVID-free policy. Large-scale nucleic acid testing in Chinese communities and the manual interpretation for SARS-CoV-2 nucleic acid detection results pose a huge challenge for labour, quality and turnaround time (TAT) requirements. To solve this specific issue while increase the efficiency and accuracy of interpretation, we created an autoverification and guidance system (AGS) that can automatically interpret and report the COVID-19 reverse transcriptase-polymerase chain reaction (RT-PCR) results relaying …

Genetic Liability Between Covid-19 And Heart Failure: Evidence From A Bidirectional Mendelian Randomization Study, Huachen Wang, Zheng Guo, Yulu Zheng, Bing Chen

Research outputs 2022 to 2026

Background: Previous studies have observed inconsistent associations between coronavirus disease 2019 (COVID-19) and heart failure (HF), but these studies were prone to bias based on reverse causality and residual confounding factors. We aimed to investigate genetic liability between COVID-19 and heart failure using a bidirectional Mendelian randomization study. Methods: The causal relationship between COVID-19 (including COVID-19, hospitalized COVID-19 compared with the general population, and severe COVID-19) and HF are determined by using a bidirectional Mendelian randomization analysis. We drew on summary statistics from the largest HF genome-wide association study (GWAS) meta-analysis on individuals of European ancestry, which included 47,309 HF …

Detect Schools Study Protocol: A Prospective Observational Cohort Surveillance Study Investigating The Impact Of Covid-19 In Western Australian Schools, Marianne J. Mullane, Hannah M. Thomas, Melanie Epstein, Joelie Mandzufas, Narelle Mullan, Alexandra Whelan, Karen Lombardi, Tina Barrow, Sherlynn Ang, Adele Leahy, Ewan Cameron, Leanne Lester, Matt Cooper, Paul Stevenson, Mitch Hartman, Anne Mckenzie, Francis Mitrou, Stephen R. Zubrick, Juli Coffin, Donna Cross, Asha C. Bowen, Peter Gething

Research outputs 2014 to 2021

Introduction: Amidst the evolving COVID-19 pandemic, understanding the transmission dynamics of the SARS-CoV-2 virus is key to providing peace of mind for the community and informing policy-making decisions. While available data suggest that school-aged children are not significant spreaders of SARS-CoV-2, the possibility of transmission in schools remains an ongoing concern, especially among an aging teaching workforce. Even in low-prevalence settings, communities must balance the potential risk of transmission with the need for students' ongoing education. Through the roll out of high-throughput school-based SARS-CoV-2 testing, enhanced follow-up for individuals exposed to COVID-19 and wellbeing surveys, this study investigates the dynamics …

A Novel Augmented Deep Transfer Learning For Classification Of Covid-19 And Other Thoracic Diseases From X-Rays, Fouzia Atlaf, Syed M. S. Islam, Naeem K. Janjua

Research outputs 2014 to 2021

Deep learning has provided numerous breakthroughs in natural imaging tasks. However, its successful application to medical images is severely handicapped with the limited amount of annotated training data. Transfer learning is commonly adopted for the medical imaging tasks. However, a large covariant shift between the source domain of natural images and target domain of medical images results in poor transfer learning. Moreover, scarcity of annotated data for the medical imaging tasks causes further problems for effective transfer learning. To address these problems, we develop an augmented ensemble transfer learning technique that leads to significant performance gain over the conventional transfer …

Covid-19 Disease Severity And Death In Relation To Vitamin D Status Among Sars-Cov-2-Positive Uae Residents, Habiba Alsafar, William B. Grant, Rafiq Hijazi, Maimunah Uddin, Nawal Alkaabi, Guan Tay, Bassam Mahboub, Fatme Al Anouti

Research outputs 2014 to 2021

Insufficient blood levels of the neurohormone vitamin D are associated with increased risk of COVID-19 severity and mortality. Despite the global rollout of vaccinations and promising preliminary results, the focus remains on additional preventive measures to manage COVID-19. Results conflict on vitamin D’s plausible role in preventing and treating COVID-19. We examined the relation between vitamin D status and COVID-19 severity and mortality among the multiethnic population of the United Arab Emirates. Our observational study used data for 522 participants who tested positive for SARS-CoV-2 at one of the main hospitals in Abu Dhabi and Dubai. Only 464 of those …