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Context: Opioids are the mainstay therapy for patients affected by cancer pain. However, about 10%-20% of patients do not benefit from the received analgesic treatment or experience side effects. Genetic variability might account for the variation in individual responses to opioids, both in terms of efficacy and toxicity.
Objectives: The aim of this genome-wide association study (GWAS) was to identify genetic markers of opioid toxicity, in terms of nausea-vomiting.
Methods: Cancer patients receiving morphine, oxycodone, buprenorphine, and fentanyl were recruited from different European countries. Data about toxicity (nausea-vomiting score, NVS) and other relevant clinical information were collected, as well as genotyping data. Regression analysis between genotypes of 2052 patients and NVS was performed, using appropriate covariates, with REGENIE software.
Results: We found 65 variants associated with NVS (P-value < 1.0×10). Of note, 14 intronic variants on chromosome 2 were in NPAS2 gene, encoding a circadian transcription factor reported to play a role in another opioid side effect, the alteration of sleep. Some of these variants were previously identified as splicing quantitative trait loci of the NPAS2 gene.
Conclusions: This is the first GWAS, performed in more than two thousand individually genotyped patients treated with opioids for cancer pain, that investigated the genetic bases of opioid-induced nausea-vomiting. Although further studies are needed to confirm our findings and to characterize the functional role of the identified variants, our results emphasize the importance of performing large pharmacogenomic studies to identify germline variants associated with opioid response, with the ultimate goal of tailoring cancer pain therapies.
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http://dx.doi.org/10.1016/j.jpainsymman.2024.10.033 | DOI Listing |
Eur J Case Rep Intern Med
August 2025
Cardiac Sciences Division, Department of Medicine, King Abdulaziz Hospital, Ministry of National Guard Health Affairs (MNGHA), Al Ahsa, Saudi Arabia.
Unlabelled: Anomalous origin of the coronary arteries is a rare congenital condition that can present as non-specific chest pain or shortness of breath or remain asymptomatic. Early identification is critical as certain variants are linked with a high risk of sudden cardiac death. Here, we report the case of a 53-year-old female with hypertension, hypothyroidism, obesity (class II) and a history of intermittent chest pain radiating to the left arm for two years.
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August 2025
National Rehab Hospital, Dublin, Ireland.
Unlabelled: This report provides a detailed analysis of a singular case involving cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) in a male patient who suffered a stroke. Our investigation delves into the clinical manifestations, genetic foundations, diagnostic complexities, and prognosis associated with CADASIL. As a notable contributor to stroke occurrence in young patients, CADASIL's impact on morbidity and mortality is influenced by stroke-related complications and cognitive decline.
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August 2025
Department of General Medicine, Chiba University Hospital, Chiba, Japan.
Introduction: Restless legs syndrome (RLS) is a common sensorimotor disorder that primarily affects the lower extremities. This condition is characterized by unpleasant sensations and an irresistible urge to move the affected body regions, typically during periods of rest or at night. While RLS most commonly involves the legs, atypical variants affecting other body parts, including the arms, abdomen, face, and even the head, have increasingly been reported.
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August 2025
Division of Internal Medicine, University Hospital of Basel, Basel, Switzerland.
Unlabelled: Encephalitis is a potentially life-threatening condition with infectious or autoimmune aetiologies. Autoimmune encephalitis includes paraneoplastic variants associated with specific onconeural antibodies such as anti-Hu, frequently linked to malignancies. Herpes simplex virus type 1 (HSV-1) is the leading infectious cause in adults.
View Article and Find Full Text PDFiScience
September 2025
School of Biology and Biological Engineering, South China University of Technology, Guangzhou, Guangdong 510006, China.
Deep learning has rapidly emerged as a promising toolkit for protein optimization, yet its success remains limited, particularly in the realm of activity. Moreover, most algorithms lack rigorous iterative evaluation, a crucial aspect of protein engineering exemplified by classical directed evolution. This study introduces DeepDE, a robust iterative deep learning-guided algorithm leveraging triple mutants as building blocks and a compact library of ∼1,000 mutants for training.
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