Antonio Espuela

Dr. Antonio Espuela

orcid

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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4 October 2023 in Nature Communications
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Journal Article
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ABAshley Budu-Aggrey
Ashley Budu-Aggrey
AKAnna Kilanowski
Anna Kilanowski
MSMaria Kinga Sobczyk
Maria Kinga Sobczyk
SSSuyash S. Shringarpure
Suyash S. Shringarpure
RMRuth Mitchell
Ruth Mitchell
LPLavinia Paternoster
Lavinia Paternoster
Atopic dermatitis (AD) is a common inflammatory skin condition and prior genome-wide association studies (GWAS) have identified 71 associated loci. In the current study we conducted the largest AD GWAS to date (discovery N = 1,086,394, replication N = 3,604,027), combining previously reported cohorts with additional available data. We identified 81 loci (29 novel) in the European-only analysis (which all replicated in a separate European analysis) and 10 additional loci in the multi-ancestry analysis (3 novel). Eight variants from the multi-ancestry analysis replicated in at least one of the populations tested (European, Latino or African), while two may be specific to individuals of Japanese ancestry. AD loci showed enrichment for DNAse I hypersensitivity and eQTL associations in blood. At each locus we prioritised candidate genes by integrating multi-omic data. The implicated genes are predominantly in immune pathways of relevance to atopic inflammation and some offer drug repurposing opportunities.

9 September 2019 in Pediatric Pulmonology
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Journal Article
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AEAntonio Espuela
Antonio Espuela
FLFabian Lorenzo‐Diaz
Fabian Lorenzo‐Diaz
ABAdrian Baez‐Ortega
Adrian Baez‐Ortega
CECeleste Eng
Celeste Eng
NHNatalia Hernandez-Pacheco
Natalia Hernandez-Pacheco
Maria Pino-YanesMaria Pino-Yanes
Maria Pino-Yanes

25 August 2020 in Pediatric Allergy and Immunology
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Journal Article
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EHEsther Herrera-Luis
Esther Herrera-Luis
AEAntonio Espuela
Antonio Espuela
FLFabian Lorenzo-Diaz
Fabian Lorenzo-Diaz
KKKevin L. Keys
Kevin L. Keys
AMAngel C.Y. Mak
Angel C.Y. Mak
Maria Pino-YanesMaria Pino-Yanes
Maria Pino-Yanes

8 June 2022 in Pediatric Allergy and Immunology
Verified
Journal Article
Open access
EHEsther Herrera-Luis
Esther Herrera-Luis
VOVictor E. Ortega
Victor E. Ortega
EAElizabeth J. Ampleford
Elizabeth J. Ampleford
YSYang Yie Sio
Yang Yie Sio
RGRaquel Granell
Raquel Granell
Maria Pino-YanesMaria Pino-Yanes
Maria Pino-Yanes
Background: Asthma exacerbations are a serious public health concern due to high healthcare resource utilization, work/school productivity loss, impact on quality of life, and risk of mortality. The genetic basis of asthma exacerbations has been studied in several populations, but no prior study has performed a multi‐ancestry meta‐analysis of genome‐wide association studies (meta‐GWAS) for this trait. We aimed to identify common genetic loci associated with asthma exacerbations across diverse populations and to assess their functional role in regulating DNA methylation and gene expression.Methods: A meta‐GWAS of asthma exacerbations in 4989 Europeans, 2181 Hispanics/Latinos, 1250 Singaporean Chinese, and 972 African Americans analyzed 9.6 million genetic variants. Suggestively associated variants (p ≤ 5 × 10−5) were assessed for replication in 36,477 European and 1078 non‐European asthma patients. Functional effects on DNA methylation were assessed in 595 Hispanic/Latino and African American asthma patients and in publicly available databases. The effect on gene expression was evaluated in silico.Results: One hundred and twenty‐six independent variants were suggestively associated with asthma exacerbations in the discovery phase. Two variants independently replicated: rs12091010 located at vascular cell adhesion molecule‐1/exostosin like glycosyltransferase‐2 (VCAM1/EXTL2) (discovery: odds ratio (ORT allele) = 0.82, p = 9.05 × 10−6 and replication: ORT allele = 0.89, p = 5.35 × 10−3) and rs943126 from pantothenate kinase 1 (PANK1) (discovery: ORC allele = 0.85, p = 3.10 × 10−5 and replication: ORC allele = 0.89, p = 1.30 × 10−2). Both variants regulate gene expression of genes where they locate and DNA methylation levels of nearby genes in whole blood.Conclusions: This multi‐ancestry study revealed novel suggestive regulatory loci for asthma exacerbations located in genomic regions participating in inflammation and host defense.

1 March 2020 in Pharmacogenomics and Personalized Medicine
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Journal Article
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JPJavier Perez-Garcia
Javier Perez-Garcia
AEAntonio Espuela
Antonio Espuela
FLFabian Lorenzo-Diaz
Fabian Lorenzo-Diaz
Maria Pino-YanesMaria Pino-Yanes
Maria Pino-Yanes
Asthma is a chronic respiratory disease that affects 339 million people worldwide and has a considerable impact on the pediatric population. Asthma symptoms can be controlled by pharmacological treatment. However, some patients do not respond to therapy and continue suffering from symptoms, which impair the quality of life of patients and limit their daily activity. Genetic variation has been shown to have a role in treatment response. The aim of this review is to update the main findings described in pharmacogenetic studies of pediatric asthma published from January 1, 2018 to December 31, 2019. During this period, the response to short-acting beta-agonists and inhaled corticosteroids in childhood asthma has been evaluated by eleven candidate-gene studies, one meta-analysis of a candidate gene, and six pharmacogenomic studies. The findings have allowed validating the association of genes previously related to asthma treatment response (ADRB2, GSDMB, FCER2, VEGFA, SPAT2SL, ASB3, and COL2A1), and identifying novel associations (PRKG1, DNAH5, IL1RL1, CRISPLD2, MMP9, APOBEC3B-APOBEC3C, EDDM3B, and BBS9). However, some results are not consistent across studies, highlighting the need to conduct larger studies in diverse populations with more homogeneous definitions of treatment response. Once stronger evidence was established, genetic variants will have the potential to be applied in clinical practice as biomarkers of treatment response enhancing asthma management and improving the quality of life of asthma patients.

11 September 2020 in Journal of Personalized Medicine
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Journal Article
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JPJavier Perez-Garcia
Javier Perez-Garcia
JPJosé María Hernández Pérez
José María Hernández Pérez
Ruperto González-PérezRuperto González-Pérez
Ruperto González-Pérez
OPOlaia Sardon Prado
Olaia Sardon Prado
EMElena Martin-Gonzalez
Elena Martin-Gonzalez
Maria Pino-YanesMaria Pino-Yanes
Maria Pino-Yanes
Asthma exacerbations are a major contributor to the global disease burden, but no significant predictive biomarkers are known. The Genomics and Metagenomics of Asthma Severity (GEMAS) study aims to assess the role of genomics and the microbiome in severe asthma exacerbations. Here, we present the design of GEMAS and the characteristics of patients recruited from March 2018 to March 2020. Different biological samples and demographic and clinical variables were collected from asthma patients recruited by allergy and pulmonary medicine units in several hospitals from Spain. Cases and controls were defined by the presence/absence of severe asthma exacerbations in the past year (oral corticosteroid use, emergency room visits, and/or asthma-related hospitalizations). A total of 137 cases and 120 controls were recruited. After stratifying by recruitment location (i.e., Canary Islands and Basque Country), cases and controls did not differ for most demographic and clinical variables (p > 0.05). However, cases showed a higher proportion of characteristics inherent to asthma exacerbations (impaired lung function, severe disease, uncontrolled asthma, gastroesophageal reflux, and use of asthma medications) compared to controls (p < 0.05). Similar results were found after stratification by recruitment unit. Thereby, asthma patients enrolled in GEMAS are balanced for potential confounders and have clinical characteristics that support the phenotype definition. GEMAS will improve the knowledge of potential biomarkers of asthma exacerbations.