Article
Endocrinology & Metabolism
Benjamin Batteux, Youssef Bennis, Sandra Bodeau, Kamel Masmoudi, Anne-Sophie Hurtel-Lemaire, Said Kamel, Valerie Gras-Champel, Sophie Liabeuf
Summary: New disproportionality signals for drugs associated with osteoporosis were detected through an analysis of the World Health Organization's VigiBase (R) pharmacovigilance database. Drugs used in neurology, hematology, pulmonology, ophthalmology, and rheumatology with pharmacologically plausible mechanisms leading to bone fragility were highlighted. The results provide insights for further exploration of these mechanisms.
Article
Pharmacology & Pharmacy
Eve K. Roberts, Daniel B. Hawcutt, Mark A. Turner
Summary: Neonates experience high rates of underreported adverse drug reactions, with current causality assessment tools in need of improvement.
BRITISH JOURNAL OF CLINICAL PHARMACOLOGY
(2021)
Article
Pharmacology & Pharmacy
Meiwen van der Boom, Florence van Hunsel
Summary: The vaccination campaign for monkeypox virus in the Netherlands resulted in the collection of adverse event reports related to the vaccine. The majority of these reports were focused on injection site reactions and general systemic reactions, which aligns with the manufacturer's product information.
BRITISH JOURNAL OF CLINICAL PHARMACOLOGY
(2023)
Article
Pharmacology & Pharmacy
Marion Allouchery, Cecile Tomowiak, Stephanie Guidez, Vincent Delwail, Paul Delaunay, Claire Lafay-Chebassier, Francesco Salvo, Marie-Christine Perault-Pochat
Summary: This study provided real-life data on patterns of use and safety of ibrutinib, showing a high cumulative incidence of ibrutinib-associated serious adverse drug reactions (SADRs) within the first year of treatment. Patients aged >= 80 years or treated for chronic lymphocytic leukaemia (CLL) were significantly associated with a higher risk of SADR occurrence and deserve special attention.
BRITISH JOURNAL OF CLINICAL PHARMACOLOGY
(2021)
Review
Pharmacology & Pharmacy
Kristopher Amaro-Hosey, Immaculada Danes, Antonia Agusti
Summary: A systematic review revealed a high incidence of ADR in pediatric oncohematology patients, along with significant variability in study design and results. Enhancing methodological standards and preventability assessment is crucial for result comparison and identifying areas for improvement in future research.
FRONTIERS IN PHARMACOLOGY
(2022)
Review
Pharmacology & Pharmacy
Mia Aakjaer, Marie Louise De Bruin, Morten Andersen
Summary: This study aims to explore methods for sequential analysis of electronic healthcare data to address the limitations of spontaneous reporting systems. Through literature review and experimentation, it has been demonstrated that the use of sequential analysis can successfully conduct epidemiological surveillance of various exposures and outcomes. However, there is a relative lack of research on analyzing data at multiple time points in realistic settings.
BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY
(2023)
Article
Pharmacology & Pharmacy
Hye Su Jeong, Byung Chul Chun, Dong Yoon Kang, Hye Ryun Kang
Summary: This study aimed to evaluate the epidemiology of adverse drug reactions (ADRs) in the Korean population and identify their characteristics and factors affecting severity. The study found that the occurrence of ADRs was associated with specific age groups and drug classes, with males and younger age groups being more prone to severe ADRs.
INTERNATIONAL JOURNAL OF CLINICAL PHARMACOLOGY AND THERAPEUTICS
(2022)
Review
Public, Environmental & Occupational Health
Joel Fossouo Tagne, Reginald Amin Yakob, Thu Ha Dang, Rachael Mcdonald, Nilmini Wickramasinghe
Summary: Despite existing national and international guidelines, there is significant variability in the standards of adverse drug reaction (ADR) reporting among healthcare facilities. There is room for improvement in ADR reporting rates among consumers and healthcare professionals. A thorough assessment of barriers and enablers to ADR reporting at the primary healthcare level is necessary, and interventions such as the black triangle scheme and GuildLink may benefit from further improvement and awareness programs.
JMIR PUBLIC HEALTH AND SURVEILLANCE
(2023)
Article
Health Care Sciences & Services
Agne Valinciute-Jankauskiene, Kubiliene Loreta
Summary: The study found that patients were able to identify ADRs and used different information sources about medicines and ADRs to confirm their beliefs. However, poor communication between consumers, pharmacists, and physicians is the main barrier to ADR reporting. This study identified the challenges in relation to pharmacovigilance in Lithuania from patients' perspectives, indicating a lack of clearly set standards and communication guidelines between patients, physicians, and pharmacists.
Article
Pharmacology & Pharmacy
Monica Valdes-Garicano, Gina Mejia-Abril, Diana Campodonico, Raul Parra-Garces, Francisco Abad-Santos
Summary: This study evaluated the performance of a laboratory alerts system as a method for detecting adverse drug reactions (ADRs) using hyponatremia and rhabdomyolysis as case studies. The results showed that a pharmacovigilance program based on automatized laboratory signals could effectively detect ADRs, and the study of the hyponatremia laboratory alert was found to be more efficient than rhabdomyolysis.
FRONTIERS IN PHARMACOLOGY
(2022)
Article
Pharmacology & Pharmacy
Kristopher Amaro-Hosey, Immaculada Danes, Lourdes Vendrell, Laura Alonso, Berta Renedo, Luis Gros, Xavier Vidal, Gloria Cereza, Antonia Agusti
Summary: This study found that adverse drug reactions (ADR) are common in pediatric oncohematological patients, mainly involving blood disorders and infections. Most ADR were dose-dependent or expected, and controversial additional prevention measures were identified.
FRONTIERS IN PHARMACOLOGY
(2021)
Article
Pharmacology & Pharmacy
Volkan Aydin, Ayfer Bahar, Caner Vizdiklar, Ahmet Akici
Summary: This study compares the chiral status of available drugs with drugs withdrawn due to adverse drug reactions and finds that pure enantiomers have a lower likelihood of withdrawal, especially in certain time periods and specific ADRs.
BRITISH JOURNAL OF CLINICAL PHARMACOLOGY
(2023)
Article
Pharmacology & Pharmacy
Lara Magro, Elena Arzenton, Roberto Leone, Marilisa Giustina Stano, Michele Vezzaro, Annette Rudolph, Irene Castagna, Ugo Moretti
Summary: The study found that about one-third of patients exposed to potential drug-drug interactions actually experienced serious adverse drug reactions, and that a spontaneous reporting database can be used to identify and describe ADRs caused by drug-drug interactions. Among these ADRs, warfarin was the most frequently reported interacting drug and the most common ADRs were gastrointestinal or cerebral hemorrhagic events.
FRONTIERS IN PHARMACOLOGY
(2021)
Article
Medicine, General & Internal
Laura Lopez-Valverde, Elia Domenech, Marc Roguera, Ignasi Gich, Magi Farre, Carlos Rodrigo, Eva Montane
Summary: The study analyzed spontaneously reported ADRs in pediatric patients between 2010 and 2020, finding that nervous system disorders were the most common type of ADR in pediatric patients, and medication errors were more frequent in patients under two years of age.
JOURNAL OF CLINICAL MEDICINE
(2021)
Article
Medicine, General & Internal
Yan-zhong Han, Yu-ming Guo, Peng Xiong, Fei-lin Ge, Jing Jing, Ming Niu, Xu Zhao, Zhao-fang Bai, Hai-bo Song, Xiao-he Xiao, Jia-bo Wang
Summary: This study found that the aging population is more susceptible to liver-related ADRs, with the relative risk increasing exponentially with age. It is important to address risk management for older adults when using drugs with a high correlation to the risk of ADRs.
FRONTIERS IN MEDICINE
(2022)
Article
Sport Sciences
Lucas Veras, Florencio Diniz-Sousa, Giorjines Boppre, Ana Resende-Coelho, Edgar Moutinho-Ribeiro, Vitor Devezas, Hugo Santos-Sousa, John Preto, Joao Paulo Vilas-Boas, Leandro Machado, Jose Oliveira, Helder Fonseca
Summary: This study developed accelerometry-based equations to predict pGRF and pLR during walking and running, and compared the predicted values with actual values, demonstrating high accuracy of these equations.
EUROPEAN JOURNAL OF SPORT SCIENCE
(2023)
Article
Computer Science, Interdisciplinary Applications
Arnaldo Pereira, Joao Rafael Almeida, Rui Pedro Lopes, Jose Luis Oliveira
Summary: This study proposes a strategy for retrieving semantically annotated biomedical datasets using a natural language interface. The method converts data to a semantic format using open biomedical ontologies and enables users to issue complex queries without using formal query languages. The approach was validated using Alzheimer's disease datasets, and the performance and limitations of the question-answering module were analyzed.
JOURNAL OF BIOMEDICAL INFORMATICS
(2023)
Article
Toxicology
Eric March-Vila, Giacomo Ferretti, Emma Terricabras, Ines Ardao, Jose Manuel Brea, Maria Jose Varela, Alvaro Arana, Juan Andres Rubiolo, Ferran Sanz, Maria Isabel Loza, Laura Sanchez, Hector Alonso, Manuel Pastor
Summary: In order to reduce the impact of human activity on the environment, many industries in the leather and textile sector are adopting measures to characterize the chemical safety of substances commonly used in their processes. This study compiles and annotates the substances used in this sector, using a combination of data collection, experimental methods, and in silico predictions. The results show that in silico methods can provide reasonably good hazard estimations and fill knowledge gaps in the chemical space of the leather and textile industry.
ARCHIVES OF TOXICOLOGY
(2023)
Article
Biology
Olga Fajarda, Joao Rafael Almeida, Sara Duarte-Pereira, Raquel M. Silva, Jose Luis Oliveira
Summary: A large amount of microarray datasets have been produced to identify differentially expressed genes and gene expression signatures, which can contribute to disease diagnosis, prognosis, and therapeutic response. However, most datasets have limited statistical power due to their small sample sizes. To address this issue, we propose a methodology that merges microarray datasets and uses statistical methods along with supervised machine learning algorithms to identify gene expression signatures. This methodology has been validated in heart failure and autism spectrum disorder datasets, achieving high classification accuracy.
COMPUTERS IN BIOLOGY AND MEDICINE
(2023)
Article
Chemistry, Medicinal
Maria J. Falaguera, Jordi Mestres
Summary: According to the IDG initiative, 90% of the proteins encoded by the human genome lack identified active ligands. A new computational strategy has been introduced to identify privileged structures that are likely to contain active small molecules for untargeted proteins. This strategy has shown promise in identifying potential active ligands for cancer-associated proteins.
JOURNAL OF CHEMICAL INFORMATION AND MODELING
(2023)
Article
Chemistry, Analytical
Lucas Veras, Florencio Diniz-Sousa, Giorjines Boppre, Vitor Devezas, Hugo Santos-Sousa, John Preto, Joao Paulo Vilas-Boas, Leandro Machado, Jose Oliveira, Helder Fonseca
Summary: The purpose of this study was to develop prediction equations for peak ground reaction force (pGRF) and peak loading rate (pLR) in high-impact activities for adults with various body masses. Regression equations were developed using accelerometry data, with body mass and peak acceleration or acceleration rate as predictors. The equations had high accuracy for predicting pGRF, with a coefficient of determination (R-2) of at least 0.83 and a mean absolute percentage error (MAPE) below 14.5%. However, the accuracy of the pLR prediction equations was lower than that of the pGRF equations.
Article
Mathematical & Computational Biology
Sara Duarte-Pereira, Sergio Matos, Jose Luis Oliveira, Raquel M. Silva
Summary: The study aimed to identify NAD-binding and NAD-interacting proteins and explore novel proteins and functions regulated by NAD. Datasets of NAD-binding proteins and NAD-protein-protein interactions were defined using experimental databases. Pathway enrichment analysis revealed their involvement in metabolic and signaling pathways, including neurodegenerative disorders. TRPC3 and isoforms of DAG kinases were identified as potential NADBPs involved in calcium signaling. Potential therapeutic targets interacting with NAD were also identified, with regulatory and signaling functions in cancer and neurodegenerative diseases.
JOURNAL OF INTEGRATIVE BIOINFORMATICS
(2023)
Article
Biology
Nelson R. C. Monteiro, Tiago O. Pereira, Ana Catarina D. Machado, Jose L. Oliveira, Maryam Abbasi, Joel P. Arrais
Summary: This study proposes a multi-objective Transformer-based architecture for generating drug candidates with desired molecular properties and increased selectivity towards a specific biological target. The results demonstrate that the proposed architecture can generate novel and synthesizable small compounds with desired pharmacological properties. Overall, this research study validates the applicability of a Transformer-based architecture in the context of drug design. Rating: 8/10.
COMPUTERS IN BIOLOGY AND MEDICINE
(2023)
Article
Biochemistry & Molecular Biology
Alba Garcia-Baos, Antoni Pastor, Ines Gallego-Landin, Rafael de la Torre, Ferran Sanz, Olga Valverde
Summary: Patients with Fetal Alcohol Spectrum Disorder (FASD) exhibit long-lasting cognitive disabilities, including memory deficits, but the underlying neurobiological mechanisms are not clear. By studying alcohol-exposed mice, researchers found that prenatal and lactation alcohol exposure induces FASD-like memory impairments through the reduction of N-acylethanolamines (NAEs) and peroxisome proliferator-activated receptor gamma (PPAR-gamma) in the hippocampus during a childhood-like period. Pharmacological interventions targeting NAEs and PPAR-gamma were able to improve memory deficits, and overexpression of PPAR-gamma in hippocampal astrocytes mitigated memory impairments induced by alcohol exposure.
MOLECULAR PSYCHIATRY
(2023)
Article
Biochemistry & Molecular Biology
Jose M. Inacio, Fernando Cristo, Miguel Pinheiro, Francisco Vasques-Novoa, Francisca Saraiva, Mafalda M. Nunes, Graca Rosas, Andreia Reis, Rita Coimbra, Jose Luis Oliveira, Gabriela Moura, Adelino Leite-Moreira, Jose Antonio Belo
Summary: In this study, RNA sequencing was performed on myocardial biopsies from heart failure patients with preserved ejection fraction (HFpEF) to identify distinctive transcriptomic signatures. A total of 306 differentially expressed mRNAs and 152 differentially expressed microRNAs were identified, revealing potential therapeutic targets and mechanisms underlying HFpEF.
Editorial Material
Computer Science, Artificial Intelligence
Zhe He, Rui Zhang, Gayo Diallo, Zhengxing Huang, Benjamin S. Glicksberg
FRONTIERS IN ARTIFICIAL INTELLIGENCE
(2023)
Article
Biochemistry & Molecular Biology
Suiane Cavalcante, Sofia Viamonte, Rui S. Cadilha, Ilda P. Ribeiro, Ana Cristina Goncalves, Joao Sousa-Venancio, Marisol Gouveia, Manuel Teixeira, Mario Santos, Jose Oliveira, Fernando Ribeiro
Summary: This study aims to evaluate the effects of a single exercise bout on the circulating levels of EPCs and CECs in heart failure patients. The results showed that a single exercise bout increased the levels of EPCs but didn't change the levels of CECs. Heart failure patients had lower levels of EPCs compared to the age-matched group, but the exercise bout restored their EPCs levels to a level similar to the age-matched group.
CURRENT ISSUES IN MOLECULAR BIOLOGY
(2023)
Article
Chemistry, Medicinal
Maria Martinez-Sevillano, Maria J. Falaguera, Jordi Mestres
Summary: The availability of patent chemical data provides public access to a chemical space not covered by other sources, but there is still a lack of open applications for easy search and analysis of biologically-relevant molecular structures in patents. We have developed CIPSI, an open Chemical Intellectual Property Service, to assist medicinal chemists in searching and analyzing molecules in SureChEMBL patents.
MOLECULAR INFORMATICS
(2023)
Article
Multidisciplinary Sciences
Marina Boudin, Gayo Diallo, Martin Drance, Fleur Mougin
Summary: Drug repositioning is a faster and more affordable solution than traditional drug discovery approaches. Computational drug repositioning using knowledge graphs shows great promise. However, there is a lack of a holistically constructed knowledge graph with the broadest possible features and drug characteristics that is freely available to the community. The OREGANO knowledge graph aims to fill this gap.
Article
Computer Science, Information Systems
Dinis Barroqueiro Cruz, Joao Rafael Almeida, Jose Luis Oliveira
Summary: This article introduces three main approaches to application security: Static Application Security Testing (SAST), Dynamic Application Security Testing (DAST), and Software Composition Analysis (SCA). It proposes a baseline comparison model to help select the best solutions and discusses future opportunities and challenges in application security. A workflow for vulnerability assessment is also proposed.