Publications by authors named "Monica Campbell"

Background: Asthma exacerbations are episodes of symptom worsening requiring increased therapy, which affect patients across all asthma severities. Potential genetic associations with asthma exacerbations in an understudied population were investigated.

Objective: We sought to perform a genome-wide association study on severe asthma exacerbations in an admixed adult population with varying asthma severities and to explore potential epigenetic roles.

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Background: Genetic control of gene expression in asthma-related tissues is not well-characterized, particularly for African-ancestry populations, limiting advancement in our understanding of the increased prevalence and severity of asthma in those populations.

Objective: To create novel transcriptome prediction models for asthma tissues (nasal epithelium and CD4+ T cells) and apply them in transcriptome-wide association study (TWAS) to discover candidate asthma genes.

Methods: We developed and validated gene expression prediction databases for unstimulated CD4+ T cells (CD4+T) and nasal epithelium using an elastic net framework.

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Background: Asthma is a chronic inflammatory disease of the airways that is heterogeneous and multifactorial, making its accurate characterization a complex process. Therefore, identifying the genetic variations associated with asthma and discovering the molecular interactions between the omics that confer risk of developing this disease will help us to unravel the biological pathways involved in its pathogenesis.

Objective: We sought to develop a predictive genetic panel for asthma using machine learning methods.

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Article Synopsis
  • Asthma shows significant differences in prevalence and characteristics among various ancestral groups, yet the reasons for these disparities are not well understood.
  • The Consortium on Asthma among African-ancestry Populations in the Americas (CAAPA) is analyzing genetic information from individuals of African ancestry to identify specific genes related to asthma.
  • In their findings, they discovered 389 differentially expressed genes (DEGs), with key networks linked to immune response and wound healing, revealing three main areas of dysregulation important for understanding asthma within these populations.
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Charitable giving involves a complex economic and social decision because the giver expends resources for goods or services they will never receive. Although psychologists have identified numerous factors that influence charitable giving, there currently exists no unifying computational model of charitable choice. Here, we submit one such model, based within the strictures of Psychological Value Theory (PVT).

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RT-PCR is the foremost clinical test for diagnosis of COVID-19. Unfortunately, PCR-based testing has limitations and may not result in a positive test early in the course of infection before symptoms develop. Enveloped RNA viruses, such as coronaviruses, alter peripheral blood methylation and DNA methylation signatures may characterize asymptomatic versus symptomatic infection.

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Background: Lipid mediators, bioactive products of polyunsaturated fatty acid metabolism, contribute to inflammation initiation and resolution in allergic diseases; however, their presence in lung-related biosamples has not been fully described.

Objective: We aimed to quantify lipid mediators in the nasal airway epithelium and characterize preliminary associations with asthma.

Methods: Using liquid chromatography-mass spectrometry, we conducted a pilot study to quantify 56 lipid mediators from nasal epithelial samples collected from 11 female participants of an outpatient asthma clinic and community controls (aged 30-55 years).

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Article Synopsis
  • The study explores how DNA methylation patterns in COVID-19 patients can differentiate them from healthy individuals and forecast disease severity.
  • Customization of a specialized DNA methylation array allowed researchers to analyze blood samples, revealing thousands of significant methylation sites linked to immune response and viral activity.
  • Machine learning models showed high accuracy in predicting patient outcomes, highlighting the potential of using these epigenetic markers for improved diagnosis and prognosis in COVID-19 cases.
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Background: Integration of metabolomics with genetics may advance understanding of disease pathogenesis but has been underused in asthma genetic studies.

Objective: We sought to discover new genetic effects in asthma and to characterize the molecular consequences of asthma genetic risk through integration with the metabolome in a homogeneous population.

Methods: From fasting serum samples collected on 348 Tangier Island residents, we quantified 2612 compounds using untargeted metabolomics.

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Article Synopsis
  • The study investigates DNA methylation as a potential biomarker for distinguishing between SARS-CoV-2 infected patients and uninfected controls, with implications for predicting disease severity.
  • Using a customized Illumina methylation array, researchers analyzed blood samples from 164 COVID-19 patients and 296 controls, identifying over 13,000 significant methylation sites linked to immune response pathways.
  • Machine learning models demonstrated high predictive accuracy for determining case status and likelihood of severe outcomes, highlighting the relevance of epigenetic signatures in diagnosing and forecasting COVID-19 progression.
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Background: Total serum IgE (tIgE) is an important intermediate phenotype of allergic disease. Whole genome genetic association studies across ancestries may identify important determinants of IgE.

Objective: We aimed to increase understanding of genetic variants affecting tIgE production across the ancestry and allergic disease spectrum by leveraging data from the National Heart, Lung and Blood Institute Trans-Omics for Precision Medicine program; the Consortium on Asthma among African-ancestry Populations in the Americas (CAAPA); and the Atopic Dermatitis Research Network (N = 21,901).

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  • Researchers examined how well polygenic risk scores (PRSs) can predict the occurrence and severity of atopic dermatitis (AD) by using genetic information.
  • They utilized a dataset of 1,619 European American individuals and included data from related allergic conditions and specific genetic mutations (FLG LOF variants).
  • Results showed that incorporating a broader range of genetic data significantly improved the prediction accuracy for AD and its severity, suggesting PRSs could be a valuable tool in identifying individuals at higher risk for severe AD.
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Congenital Zika virus syndrome (CZS) is associated with damage to neural progenitor cells by ZIKA virus infection. There are no accurate statistics on the percentage of pregnant mothers who have had babies affected by the syndrome. Few cases of discordant twins have been described in the literature and, therefore, we hypothesize that the genetic background of the progeny and/or mother may play a role in the fate of the syndrome.

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  • - The study investigates how genetic ancestry influences asthma health disparities, focusing on Peruvian children to see if their ancestry affects asthma severity, total serum IgE levels, and lung function.
  • - Results show that indigenous ancestry (NAT) is linked to higher IgE levels and better lung function, while Iberian ancestry (IBS) is associated with lower IgE levels and poorer lung function in controls.
  • - A significant genetic region on chromosome 6 (HLA-DR/DQ) is linked to asthma and IgE levels, while a novel genetic locus on chromosome 19 related to lung function was found and validated in another group of Brazilian children with asthma.
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Background: Eczema herpeticum (EH) is a rare complication of atopic dermatitis (AD) caused by disseminated herpes simplex virus (HSV) infection. The role of rare and/or deleterious genetic variants in disease etiology is largely unknown. This study aimed to identify genes that harbor damaging genetic variants associated with HSV infection in AD with a history of recurrent eczema herpeticum (ADEH+).

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  • Asthma is a chronic inflammatory disease of the airways, and while studies have looked at its genetic roots, the role of HLA alleles has been underexplored until now.
  • This study focused on a large group of individuals of African ancestry to investigate associations between HLA alleles and asthma-related traits, using advanced computational techniques to analyze genetics.
  • Although no direct association with asthma susceptibility was found, the study identified a specific HLA allele linked to higher total serum IgE levels, highlighting the potential of advanced computational methods in understanding complex genetic associations.
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  • Scientists studied how DNA changes (called methylation) might be linked to a skin condition called atopic dermatitis (AD), especially when it gets worse with a virus (called eczema herpeticum).
  • They looked at blood samples from different groups: people with AD and eczema herpeticum, people with AD without it, and healthy people.
  • The researchers found specific DNA changes that were connected to how severe the skin condition was, especially related to a type of immune cell called eosinophils, suggesting a link between these changes and the body's immune response.
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Background: People with multiple sclerosis (PwMS) often require care from multiple healthcare services and providers to fulfill their physical and psychological healthcare needs, including those related to their MS and those due to co-occurring disorders. However, they often experience barriers to accessing healthcare specialists, providers, and services.

Objective: The purpose of this study is to understand patients' healthcare preferences, perceived importance of elements of their care, and encountered barriers through analyzing patients' free-text comments.

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The precise diagnosis of Schistosoma japonicum (S. japonicum) infection plays a critical role in achieving the ultimate goal of eliminating schistosomiasis in endemic regions. We evaluated the S.

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Article Synopsis
  • Asthma affects people differently depending on their race, and there haven't been enough studies on people of African ancestry.
  • A new study looked at data from 7,009 people with asthma and 7,645 without, and found strong links to four previously known gene areas.
  • The study also discovered two new gene areas that might be especially important for asthma risk in people of African ancestry.
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In the version of this article initially published, the statement "there are no pan-genomes for any other animal or plant species" was incorrect. The statement has been corrected to "there are no reported pan-genomes for any other animal species, to our knowledge." We thank David Edwards for bringing this error to our attention.

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We used a deeply sequenced dataset of 910 individuals, all of African descent, to construct a set of DNA sequences that is present in these individuals but missing from the reference human genome. We aligned 1.19 trillion reads from the 910 individuals to the reference genome (GRCh38), collected all reads that failed to align, and assembled these reads into contiguous sequences (contigs).

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Objective: Assess the consumer nutrition environment in midsize to large supermarkets by supermarket type and area-level socioeconomic variables.

Design: Cross-sectional census of 257 supermarkets using the Toronto Nutrition Environment Measures Survey in Stores.

Setting: Toronto, Canada.

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Background: Allergic asthma is a complex disorder that results from a combination of genetic and environmental factors. Studies suggest that helminth infections can activate a regulatory network characterized by the production of regulatory cytokines, such as interleukin 10 and transforming growth factor β1 (TGF-β1) and subsequently protect against immune-mediated diseases, such as asthma. On the other hand, TGF-β1 is increased in the lungs of individuals with asthma and may modulate airway inflammation.

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