Cancer Research, Biochemistry, Genetics and Molecular Biology
19
Scopus Publications
Scopus Publications
Transcriptional analysis of metastatic hormone-naïve prostate cancer primary tumor biopsies reveals a relevant role for SOX11 in prostate cancer cell dissemination Natalia Martin-Martin, Saioa Garcia-Longarte, Jon Corres-Mendizabal, Uxue Lazcano, Ianire Astobiza, Laura Bozal-Basterra, Nicolas Herranz, Hielke van Splunder, Onintza Carlevaris, Mikel Pujana-Vaquerizo, María Teresa Blasco, Ana M. Aransay, Antonio Rosino, Julian Tudela, Daniel Jimenez, Alberto Martinez, Andrei Salca, Aida Santos-Martín, Sofía Rey, Aitziber Ugalde-Olano, David Gonzalo, Mariona Graupera, Roger R. Gomis, Joaquin Mateo, Miguel Unda, Enrique Gonzalez-Billalabeitia, Ana Loizaga-Iriarte, Isabel Mendizabal, Arkaitz Carracedo Genome Biology, 2025 BACKGROUND: Metastatic hormone-naïve prostate cancer (mHNPC) is an infrequent form of this tumor type that is characterized by metastasis at the time of diagnosis and accounts for up to 50% of prostate cancer-related deaths. Despite the extensive characterization of localized and metastatic castration-resistant prostate cancer, the molecular characteristics of mHNPC remain largely unexplored. RESULTS: Here, we provide the first extensive transcriptomics characterization of primary tumor specimens from patients with mHNPC. We generate discovery and validation bulk and single-cell RNA-seq datasets and perform integrative computational analysis in combination with experimental studies. Our results provide unprecedented evidence of the distinctive transcriptional profile of mHNPC and identify stroma remodeling as a predominant feature of these tumors. Importantly, we discover a central role for the SRY-box transcription factor 11 (SOX11) in triggering a heterotypic communication that is associated with the acquisition of metastatic properties. CONCLUSIONS: Our study will constitute an invaluable resource for a profound understanding of mHNPC that can influence patient management.
Rare Variant Association Analysis Uncovers Involvement of VNN2 in Stroke Outcome Estefanía Alcaide-Consuegra, Marina Mola-Caminal, Georgia Escaramís, Uxue Lazcano, Isabel Fernández-Pérez, Jaume Reig-Palou, Joan Jiménez-Balado, Eva Giralt-Steinhauer, Elisa Cuadrado-Godia, Angel Ois, Ana Rodríguez-Campello, Marta Vallverdú-Prats, Aina Medina-Dols, Carmen Jiménez, Silvia Tur, Rosa M. Díaz-Navarro, Carlos David Bruque, Nuria Andreu-Somavilla, Irene González-Navarrete, Ferran Casals, Cristòfol Vives-Bauzà, Israel Fernández-Cadenas, Jordi Jiménez-Conde, Susanna Balcells, Raquel Rabionet Stroke, 2025 BACKGROUND: A stroke’s functional outcome presents vast variability among patients, which is influenced by age, sex, characteristics of the lesion, and genetic factors. However, there is little knowledge about stroke recovery genetics. Recently, some GWAS (Genome-Wide Association Studies) have highlighted the involvement of common or low-frequency variants near or within PATJ , PPP1R21 , PTCH1 , NTN4 , and TEK genes , whereas the role of rare variants is still unclear. This study aims to identify the genetic contributions to differences in stroke outcomes by analyzing the effect of rare variants. METHODS: We performed a pilot study analyzing 90 exomes of extreme good and bad recovery (modified Rankin Scale score at 3 months, 0–1 versus 4–5) to select target genes involved in stroke recovery. To expand this study, 702 additional samples were sequenced by targeted next-generation sequencing capturing loci selected from the pilot study, GWASs, and literature input. Here, we performed continuous (modified Rankin Scale score, 0–6) and dichotomous (modified Rankin Scale score, 0–1 versus 3–6) analyses, yielding 1 candidate gene. All samples were selected by a retrospective cohort study from incidental stroke cases collected at Spanish Hospitals between 2000 and 2018. The identified VNN2 variants were assessed for protein structure and stability analysis, and an analysis of their effect on basal inflammation levels was performed using UK Biobank data. RESULTS: Our work identified rare coding variants in VNN2 associated with patients with better stroke recovery (∆ deviance information criterion >10, equivalent to P <0.001). Six rare variants were predicted to significantly affect protein stability (∆∆G >1.6 kcal/mol); meanwhile, another variant, located in the active site, could affect the electrostatic surface. CONCLUSIONS: We propose that VNN2 might play a role in stroke outcomes by modulating poststroke inflammation. A potentially affected function would be neutrophil cell adhesion and migration.
Circulating miRNAs Associated With 3-Month Outcome in Patients With Acute Ischemic Stroke Isabel Fernández-Pérez, Marta Vallverdú-Prats, Lucía Rey-Álvarez, Eva Giralt Steinhauer, Angel Ois, Elisa Cuadrado-Godia, Ana Rodriguez-Campello, Antoni Suárez-Pérez, Adrià Macias-Gómez, Carolina Soriano-Tárraga, Francisco F. Purroy, Gloria Arque, Silvia Tur, Guillem Cañellas, Cristofol Vives-Bauza, Tomas Segura, Gemma Serrano-Heras, Uxue Lazcano, Joan Jiménez-Balado, Jordi Jimenez-Conde Neurology, 2024 BACKGROUND AND OBJECTIVES: Post-ischemic stroke (IS) outcomes vary widely among individuals, independently of clinical factors. This variability could be related to epigenetic mechanisms that regulate biological processes involved in recovery after ischemia. While several microRNAs (miRNAs) and their target genes are implicated in the pathophysiology of IS, their role in functional outcomes remains unclear. Our aim is to identify potential miRNAs associated with the 3-month outcome in patients with IS. METHODS: A discovery study was performed in patients with acute IS assessed at Hospital del Mar of Barcelona from 2009 to 2018. Main inclusion criteria were initial NIH Stroke Scale (NIHSS) score >2, hospital admission within 24 hours of IS onset, and previous functional independence. Poor 3-month outcome was defined as a modified Rankin Scale score >2. We performed miRNA next-generation sequencing on plasma samples obtained within 24 hours and performed a differential expression analysis for 2,083 miRNAs using the DESeq2 package. A replication stage was performed using real time-PCR in another multicenter cohort, with equivalent inclusion criteria and multivariate regression models. We also performed enrichment pathways analyses in both phases. RESULTS: < 0.05, fold change >1.7): miR-376c-3p, miR-4463, miR-199a-3p, miR-584-5p, and miR-134-5p. DISCUSSION: We identified 5 miRNAs overexpressed in patients with poor 3-month outcomes after IS, which could be involved in biological processes such as cognition, neuronal morphogenesis, and TGF-β response, suggesting a potential role in brain recovery. These findings were not evaluated in infratentorial and lacunar strokes, which limits generalizability in these particular subtypes. Further investigation is needed to explore potential applicability of these findings.
DNA methylation and stroke prognosis: an epigenome-wide association study Joan Jiménez-Balado, Isabel Fernández-Pérez, Cristina Gallego-Fábrega, Uxue Lazcano, Carolina Soriano-Tárraga, Marta Vallverdú-Prats, Marina Mola-Caminal, Lucía Rey-Álvarez, Adrià Macias-Gómez, Antoni Suárez-Pérez, Eva Giralt-Steinhauer, Ana Rodríguez-Campello, Elisa Cuadrado-Godia, Ángel Ois, Manel Esteller, Jaume Roquer, Israel Fernández-Cadenas, Jordi Jiménez-Conde Clinical Epigenetics, 2024 Background and aims Stroke is the leading cause of adult-onset disability. Although clinical factors influence stroke outcome, there is a significant variability among individuals that may be attributed to genetics and epigenetics, including DNA methylation (DNAm). We aimed to study the association between DNAm and stroke prognosis. Methods and results To that aim, we conducted a two-phase study (discovery-replication and meta-analysis) in Caucasian patients with ischemic stroke from two independent centers (BasicMar [discovery, N = 316] and St. Pau [replication, N = 92]). Functional outcome was assessed using the modified Rankin Scale (mRS) at three months after stroke, being poor outcome defined as mRS > 2. DNAm was determined using the 450K and EPIC BeadChips in whole-blood samples collected within the first 24 h. We searched for differentially methylated positions (DMPs) in 370,344 CpGs, and candidates below p-value < 10–5 were subsequently tested in the replication cohort. We then meta-analyzed DMP results from both cohorts and used them to identify differentially methylated regions (DMRs). After doing the epigenome-wide association study, we found 29 DMPs at p-value < 10–5 and one of them was replicated: cg24391982, annotated to thrombospondin-2 (THBS2) gene (p-valuediscovery = 1.54·10–6; p-valuereplication = 9.17·10–4; p-valuemeta-analysis = 6.39·10–9). Besides, four DMRs were identified in patients with poor outcome annotated to zinc finger protein 57 homolog (ZFP57), Arachidonate 12-Lipoxygenase 12S Type (ALOX12), ABI Family Member 3 (ABI3) and Allantoicase (ALLC) genes (p-value < 1·10–9 in all cases). Discussion Patients with poor outcome showed a DMP at THBS2 and four DMRs annotated to ZFP57, ALOX12, ABI3 and ALLC genes. This suggests an association between stroke outcome and DNAm, which may help identify new stroke recovery mechanisms.
Role of PATJ in stroke prognosis by modulating endothelial to mesenchymal transition through the Hippo/Notch/PI3K axis Aina Medina-Dols, Guillem Cañellas, Toni Capó, Montse Solé, Marina Mola-Caminal, Natalia Cullell, Marina Jaume, Laura Nadal-Salas, Jaume Llinàs, Lluis Gómez, Silvia Tur, Carmen Jiménez, Rosa M. Díaz, Caty Carrera, Elena Muiño, Cristina Gallego-Fabrega, Carolina Soriano-Tárraga, Laura Ruiz-Guerra, Josep Pol-Fuster, Víctor Asensio, Josep Muncunill, Aarne Fleischer, Amanda Iglesias, Eva Giralt-Steinhauer, Uxue Lazcano, Isabel Fernández-Pérez, Joan Jiménez-Balado, Marina Gabriel-Salazar, Miguel Garcia-Gabilondo, Ting Lei, Nuria-Paz Torres-Aguila, Jara Cárcel-Márquez, Jerònia Lladó, Gabriel Olmos, Anna Rosell, Joan Montaner, Anna M. Planas, Raquel Rabionet, Mar Hernández-Guillamon, Jordi Jiménez-Conde, Israel Fernández-Cadenas, Cristòfol Vives-Bauzá Cell Death Discovery, 2024 Through GWAS studies we identifiedPATJassociated with functional outcome after ischemic stroke (IS). The aim of this study was to determine PATJ role in brain endothelial cells (ECs) in the context of stroke outcome.PATJexpression analyses in patient’s blood revealed that: (i) the risk allele of rs76221407 induces higher expression ofPATJ, (ii)PATJis downregulated 24 h after IS, and (iii) its expression is significantly lower in those patients with functional independence, measured at 3 months with the modified Rankin scale ((mRS) ≤2), compared to those patients with marked disability (mRS = 4–5). In mice brains,PATJwas also downregulated in the injured hemisphere at 48 h after ischemia. Oxygen-glucose deprivation and hypoxia-dependent of Hypoxia Inducible Factor-1α also caused PATJ depletion in ECs. To study the effects ofPATJdownregulation, we generatedPATJ-knockdown human microvascular ECs. Their transcriptomic profile evidenced a complex cell reprogramming involving Notch, TGF-ß, PI3K/Akt, and Hippo signaling that translates in morphological and functional changes compatible with endothelial to mesenchymal transition (EndMT). PATJ depletion caused loss of cell-cell adhesion, upregulation of metalloproteases, actin cytoskeleton remodeling, cytoplasmic accumulation of the signal transducer C-terminal transmembrane Mucin 1 (MUC1-C) and downregulation of Notch and Hippo signaling. The EndMT phenotype of PATJ-depleted cells was associated with the nuclear recruitment of MUC1-C, YAP/TAZ, β-catenin, and ZEB1. Our results suggest thatPATJdownregulation 24 h after IS promotes EndMT, an initial step prior to secondary activation of a pro-angiogenic program. This effect is associated with functional independence suggesting that activation of EndMT shortly after stroke onset is beneficial for stroke recovery.
Development of Continuous Assessment of Muscle Quality and Frailty in Older Patients Using Multiparametric Combinations of Ultrasound and Blood Biomarkers: Protocol for the ECOFRAIL Study Naiara Virto, Xabier Río, Garazi Angulo-Garay, Rafael García Molina, Almudena Avendaño Céspedes, Elisa Belen Cortés Zamora, Elena Gómez Jiménez, Ruben Alcantud Córcoles, Leocadio Rodriguez Mañas, Alba Costa-Grille, Ander Matheu, Diego Marcos-Pérez, Uxue Lazcano, Itziar Vergara, Laura Arjona, Morelva Saeteros, Diego Lopez-de-Ipiña, Aitor Coca, Pedro Abizanda Soler, Sergio J Sanabria Jmir Research Protocols, 2024 Background Frailty resulting from the loss of muscle quality can potentially be delayed through early detection and physical exercise interventions. There is a demand for cost-effective tools for the objective evaluation of muscle quality, in both cross-sectional and longitudinal assessments. Literature suggests that quantitative analysis of ultrasound data captures morphometric, compositional, and microstructural muscle properties, while biological assays derived from blood samples are associated with functional information. Objective This study aims to assess multiparametric combinations of ultrasound and blood-based biomarkers to offer a cross-sectional evaluation of the patient frailty phenotype and to track changes in muscle quality associated with supervised exercise programs. Methods This prospective observational multicenter study will include patients aged 70 years and older who are capable of providing informed consent. We aim to recruit 100 patients from hospital environments and 100 from primary care facilities. Each patient will undergo at least two examinations (baseline and follow-up), totaling a minimum of 400 examinations. In hospital environments, 50 patients will be measured before/after a 16-week individualized and supervised exercise program, while another 50 patients will be followed up after the same period without intervention. Primary care patients will undergo a 1-year follow-up evaluation. The primary objective is to compare cross-sectional evaluations of physical performance, functional capacity, body composition, and derived scales of sarcopenia and frailty with biomarker combinations obtained from muscle ultrasound and blood-based assays. We will analyze ultrasound raw data obtained with a point-of-care device, along with a set of biomarkers previously associated with frailty, using quantitative real-time polymerase chain reaction and enzyme-linked immunosorbent assay. Additionally, we will examine the sensitivity of these biomarkers to detect short-term muscle quality changes and functional improvement after a supervised exercise intervention compared with usual care. Results At the time of manuscript submission, the enrollment of volunteers is ongoing. Recruitment started on March 1, 2022, and ends on June 30, 2024. Conclusions The outlined study protocol will integrate portable technologies, using quantitative muscle ultrasound and blood biomarkers, to facilitate an objective cross-sectional assessment of muscle quality in both hospital and primary care settings. The primary objective is to generate data that can be used to explore associations between biomarker combinations and the cross-sectional clinical assessment of frailty and sarcopenia. Additionally, the study aims to investigate musculoskeletal changes following multicomponent physical exercise programs. Trial Registration ClinicalTrials.gov NCT05294757; https://clinicaltrials.gov/ct2/show/NCT05294757 International Registered Report Identifier (IRRID) DERR1-10.2196/50325
Long-term exposure to air pollution and severe COVID-19 in Catalonia: a population-based cohort study Otavio Ranzani, Anna Alari, Sergio Olmos, Carles Milà, Alex Rico, Joan Ballester, Xavier Basagaña, Carlos Chaccour, Payam Dadvand, Talita Duarte-Salles, Maria Foraster, Mark Nieuwenhuijsen, Jordi Sunyer, Antònia Valentín, Manolis Kogevinas, Uxue Lazcano, Carla Avellaneda-Gómez, Rosa Vivanco, Cathryn Tonne Nature Communications, 2023 The association between long-term exposure to ambient air pollutants and severe COVID-19 is uncertain. We followed 4,660,502 adults from the general population in 2020 in Catalonia, Spain. Cox proportional models were fit to evaluate the association between annual averages of PM2.5, NO2, BC, and O3 at each participant’s residential address and severe COVID-19. Higher exposure to PM2.5, NO2, and BC was associated with an increased risk of COVID-19 hospitalization, ICU admission, death, and hospital length of stay. An increase of 3.2 µg/m3 of PM2.5 was associated with a 19% (95% CI, 16–21) increase in hospitalizations. An increase of 16.1 µg/m3 of NO2 was associated with a 42% (95% CI, 30–55) increase in ICU admissions. An increase of 0.7 µg/m3 of BC was associated with a 6% (95% CI, 0–13) increase in deaths. O3 was positively associated with severe outcomes when adjusted by NO2. Our study contributes robust evidence that long-term exposure to air pollutants is associated with severe COVID-19.
Machine Learning Approximations to Predict Epigenetic Age Acceleration in Stroke Patients Isabel Fernández-Pérez, Joan Jiménez-Balado, Uxue Lazcano, Eva Giralt-Steinhauer, Lucía Rey Álvarez, Elisa Cuadrado-Godia, Ana Rodríguez-Campello, Adrià Macias-Gómez, Antoni Suárez-Pérez, Anna Revert-Barberá, Isabel Estragués-Gázquez, Carolina Soriano-Tarraga, Jaume Roquer, Angel Ois, Jordi Jiménez-Conde International Journal of Molecular Sciences, 2023 Age acceleration (Age-A) is a useful tool that is able to predict a broad range of health outcomes. It is necessary to determine DNA methylation levels to estimate it, and it is known that Age-A is influenced by environmental, lifestyle, and vascular risk factors (VRF). The aim of this study is to estimate the contribution of these easily measurable factors to Age-A in patients with cerebrovascular disease (CVD), using different machine learning (ML) approximations, and try to find a more accessible model able to predict Age-A. We studied a CVD cohort of 952 patients with information about VRF, lifestyle habits, and target organ damage. We estimated Age-A using Hannum’s epigenetic clock, and trained six different models to predict Age-A: a conventional linear regression model, four ML models (elastic net regression (EN), K-Nearest neighbors, random forest, and support vector machine models), and one deep learning approximation (multilayer perceptron (MLP) model). The best-performing models were EN and MLP; although, the predictive capability was modest (R2 0.358 and 0.378, respectively). In conclusion, our results support the influence of these factors on Age-A; although, they were not enough to explain most of its variability.
Ultrasound quantitative monitoring of muscle quality changes in sarcopenia patients after supervised exercise intervention Morelva Saeteros, Naiara Virto, Ignacio Oyarzábal, Xabier Río de Frutos, Rafael García, Almudena Avendaño, Elisa Belén Cortés, Elena Gómez, Pedro Abizanda, Leocadio Rodríguez-Mañas, Ander Matheu, Uxue Lazcano, Itziar Vergara, Laura Arjona, Aitor Coca, Sergio J Sanabria IEEE International Ultrasonics Symposium Ius, 2023 In recent years, Quantitative Ultrasound (QUS), particularly speckle statistics, has evolved as a promising tool for advanced tissue characterization. This study explored the applicability of QUS in sarcopenia assessment, an area hitherto sparsely researched. Involving 98 geriatric patients, a prospective clinical trial evaluated the effect of a 16-week supervised exercise intervention on muscle health. Here, we introduce an automatic evaluation of mass for the rectus femoris muscle and QUS speckle statistics to capture functional muscle quality. Our results showcase moderate correlations between morphometric ultrasound and baseline muscle mass, though not effectively capturing short-term post-exercise changes. In contrast, QUS detected substantial muscle quality shifts, with 13 out of 14 significant biomarkers discerned from longitudinal muscle views. Our findings underscore the potential of integrating QUS and artificial intelligence in objective evaluation of muscle quality.
Epigenetic Clock Explains White Matter Hyperintensity Burden Irrespective of Chronological Age Joan Jiménez-Balado, Eva Giralt-Steinhauer, Isabel Fernández-Pérez, Lucía Rey, Elisa Cuadrado-Godia, Ángel Ois, Ana Rodríguez-Campello, Carolina Soriano-Tárraga, Uxue Lazcano, Adrià Macias-Gómez, Antoni Suárez-Pérez, Anna Revert, Isabel Estragués, Brigitte Beltrán-Mármol, Santiago Medrano-Martorell, Jaume Capellades, Jaume Roquer, Jordi Jiménez-Conde Biology, 2023 In this manuscript we studied the relationship between WMH and biological age (B-age) in patients with acute stroke. We included in this study 247 patients with acute stroke recruited at Hospital del Mar having both epigenetic (DNA methylation) and magnetic resonance imaging data. WMH were measured using a semi-automated method. B-age was calculated using two widely used methods: the Hannum and Horvath formulas. We used multiple linear regression models to interrogate the role of B-age on WMH volume after adjusting for chronological age (C-age) and other covariables. Average C-age of the sample was 68.4 (±11.8) and we observed a relatively high median WMH volume (median = 8.8 cm3, Q1–Q3 = 4.05–18.8). After adjusting for potential confounders, we observed a significant effect of B-ageHannum on WMH volume (βHannum = 0.023, p-value = 0.029) independently of C-age, which remained significant (βC-age = 0.021, p-value = 0.036). Finally, we performed a mediation analysis, which allowed us to discover that 42.7% of the effect of C-age on WMH is mediated by B-ageHannum. On the other hand, B-ageHoarvath showed no significant associations with WMH after being adjusted for C-age. In conclusion, we show for the first time that biological age, measured through DNA methylation, contributes substantially to explain WMH volumetric burden irrespective of chronological age.
Biological Age Acceleration Is Lower in Women with Ischemic Stroke Compared to Men Cristina Gallego-Fabrega, Elena Muiño, Natalia Cullell, Jara Cárcel-Márquez, Uxue Lazcano, Carolina Soriano-Tárraga, Miquel Lledós, Laia Llucià-Carol, Ana Aguilera-Simón, Rebeca Marín, Luis Prats-Sánchez, Pol Camps-Renom, Raquel Delgado-Mederos, Jesús M. Martín-Campos, Pilar Delgado, Joan Martí-Fàbregas, Joan Montaner, Jerzy Krupinski, J. Jiménez-Conde, Jaume Roquer, Israel Fernández-Cadenas Stroke, 2022
Household Severe Acute Respiratory Syndrome Coronavirus 2 Transmission and Children: A Network Prospective Study Antoni Soriano-Arandes, Anna Gatell, Pepe Serrano, Mireia Biosca, Ferran Campillo, Ramon Capdevila, Anna Fàbrega, Zulema Lobato, Núria López, Ana Mª Moreno, Miriam Poblet, Maria Teresa Riera-Bosch, Neus Rius, Montserrat Ruiz, Almudena Sánchez, Cinta Valldepérez, Mònica Vilà, Valentí Pineda, Uxue Lazcano, Yesika Díaz, Juliana Reyes-Urueña, Pere Soler-Palacín, , Marc García-Lorenzo, Lorena Braviz, Àngels Naranjo, Olga Salvadó, Silvia Burgaya, Lidia Aulet, Javier Cantero, Gloria Ruiz, Marina Fenoy, Abel Martínez-Mejías, Iris González, Anton Foguet, Imma Bayona, Guillermo García, Laia Solé, Clara Calbet, Mireia Carulla, Neus Piquè, Pilar Llobet, Berta Pujol, Álvaro Díaz-Conradi, Maria Esteller, Blanca Rosich, Arantxa Gómez, Anna Mª Ristol, Borja Guarch, Francesc Ripoll, Maria Chiné, Carlos Losana, Romina Conti, Isabel Zambudio, Mercè Escuer, Joan Manuel Torres, Tomas Perez-Porcuna, Emiliano Mora, Roger García-Puig, Silvia Prado, Daniel Gros, Mercè Giribet, Pili Villalobos, Dolors Canadell, Xavier Bruna, Elisenda Martínez-Carbonell, Anna Bordas, Alexis Sentis, Jordi Aceiton, Jordi Casabona, Carlos Herrero, Isabel Casas, Nathalia Joaqui, Vanessa Laveglia, Grisel Vilagrasa, Maria Méndez, Laura Minguell, Núria Visa, Fernando Paredes, Anna Vidal-Moreso, Rosario Díez, Ana Moreira, Evelyn Berbel, Stephan Schneider, Maria Milà, Ana Maldonado, Imma Caubet, Magda Campins, Juliana Esperalba, Andrés Anton, Jordi Gómez i Prat, Raisa Morales, José Santos, Pilar Gussinyé, Teresa Fenollosa, Coral Moreno, Joan Azemar, Xavier Duran, Gemma Terrer, Evaristo Galdeano, Raquel Plasencia, Rebecca Oglesby, Isabel Vives-Oñós, Silvia Sabaté, Vanessa Fernandez, Cintia Ago, Anna Castan, Francesc Fornaguera, Dolors Panadés, Ernesto Mónaco, Gemma Ricós, Gina Catasús, Maria Mendoza, Lidia Busquets, Esperança Macià, Sandra Segura, Ramona Martín, Verónica Sandra López Clinical Infectious Diseases, 2021
Schools as a Framework for COVID-19 Epidemiological Surveillance of Children in Catalonia, Spain: A Population-Based Study Aida Perramon, Antoni Soriano-Arandes, David Pino, Uxue Lazcano, Cristina Andrés, Martí Català, Anna Gatell, Mireia Carulla, Dolors Canadell, Gemma Ricós, M. Teresa Riera-Bosch, Silvia Burgaya, Olga Salvadó, Javier Cantero, Mònica Vilà, Miriam Poblet, Almudena Sánchez, Anna M. Ristol, Pepe Serrano, Andrés Antón, Clara Prats, Pere Soler-Palacin Frontiers in Pediatrics, 2021
Defining Minor Intracerebral Hemorrhage Alejandra Gómez-González, Uxue Lazcano, Rosa Maria Vivanco-Hidalgo, Luis Prats-Sánchez, Daniel Guisado-Alonso, Raquel Delgado-Mederos, Pol Camps-Renom, Alejandro Martínez Domeño, Elisa Cuadrado-Godia, Eva Giralt Steinhauer, Jordi Jiménez-Conde, Carolina Soriano-Tárraga, Carla Avellaneda-Gómez, Ana Rodríguez-Campello, Joan Martí-Fábregas, Angel Ois, Jaume Roquer Cerebrovascular Diseases, 2021
Biological age is a novel biomarker to predict stroke recurrence Carol Soriano-Tárraga, Uxue Lazcano, Jordi Jiménez-Conde, Angel Ois, Elisa Cuadrado-Godia, Eva Giralt-Steinhauer, Ana Rodríguez-Campello, Alejandra Gomez-Gonzalez, Carla Avellaneda-Gómez, Rosa M. Vivanco-Hidalgo, Jaume Roquer Journal of Neurology, 2021
Identification of 20 novel loci associated with ischaemic stroke. Epigenome-wide association study Carolina Soriano-Tárraga, Uxue Lazcano, Eva Giralt-Steinhauer, Carla Avellaneda-Gómez, Ángel Ois, Ana Rodríguez-Campello, Elisa Cuadrado-Godia, Alejandra Gómez-González, Alba Fernández-Sanlés, Roberto Elosua, Israel Fernández-Cadenas, Natalia Cullell, Joan Montaner, Sebastian Moran, Manel Esteller, Jordi Jiménez-Conde, Jaume Roquer Epigenetics, 2020
