Articles tagged with Drug Interactions
Scientists at University of California San Diego have produced the first visualizations of LRRK2 inside its natural cellular environment and the first high-resolution blueprint of the protein. They discovered how LRRK2 binds to microtubules, acting as a roadblock for motors that move along these tracks.
Tumors in ovarian cancer interact with platelets through broken blood vessel barriers, enabling metastasis. Organ-on-a-chip technology allows researchers to study this interaction and explore potential treatments.
Researchers identified ebselen's binding activity to SARS-CoV-2 main protease, suggesting its potential as a treatment. The distant binding site may provide an alternative target for repurposed drugs.
Penn State researchers identified 57 medications with a narrow therapeutic index that may be impacted by concomitant cannabinoid use. This list helps medical professionals make safe prescribing choices for patients using prescription or over-the-counter cannabinoids.
Researchers have identified 38 excipient molecules that interact with human enzymes and receptors, highlighting the potential for previously unappreciated effects on health. The study emphasizes the need for further investigation to establish whether these substances may contribute to unwanted side effects in human patients.
Researchers identified 134 previously unknown activities for 38 approved excipients, demonstrating direct activity against biologically relevant molecules. Several excipients exhibit evidence predictive of tissue-level toxicity, including thimerosal and cetylpyridinium.
A new microscopy technique reveals the interactions between particles in thin film coatings as they dry, shedding light on their properties and behavior. The research has implications for pharmaceutical devices used to deliver drugs.
Researchers used a structure-based approach to virtually screen antiviral compounds against SARS-CoV-2, identifying potential candidates for repurposed therapies and new vaccines. The study found high-affinity binding of several antiviral drugs to the spike protein and main protease, revealing promising leads for further research.
A new open-source machine learning tool identifies proteins associated with drug side effects, offering insights into how the human body responds to drug compounds. The algorithm has generated 221 associations between individual proteins and specific adverse drug reactions.
A study found that electronic health records (EHRs) commonly used in hospitals nationwide failed to detect up to one in three potentially harmful drug interactions and other medication errors. Despite improvements over the past decade, EHR systems consistently failed to detect errors that could injure or kill patients.
A study found that taking short-acting benzodiazepines and opioids together increases the risk of premature death in patients with kidney failure. The analysis of over 69,000 US adults with kidney disease who initiated hemodialysis revealed a 1.9-fold higher risk of dying among those taking both medications.
Researchers at Kazan Federal University have developed new in vitro test systems for selecting effective antitumor drugs, which take into account the complex interactions between tumor cells and healthy tissue. The new models aim to improve primary screening of substances with antitumor activity.
Researchers from Oregon State University found that hop-based dietary supplements do not cause significant drug interactions in menopausal women. The study involved 16 participants who took a cocktail of four drugs while also consuming hops extract daily for two weeks, with no enzyme inhibition detected.
A recent study found that genetic variations in estrogen receptor 1 (ESR1) may be linked to clinically significant weight gain when using the etonogestrel contraceptive implant. Women with two copies of a specific variant on average gained over 30 pounds more while using the implant compared to others.
A study modeling psilocybin's effects on brain activity reveals the importance of coupling neuronal and neurotransmitter systems at the whole-brain level. The findings support the development of treatments for depression, anxiety, and addiction using this psychedelic drug.
Researchers found that 70% of electronic consultations were appropriate and 81% associated with avoided face-to-face visits. This study suggests that e-consults can improve patient access to specialists and reduce travel costs.
UC Davis researchers developed a computer model to screen drugs for unintended cardiac side effects, especially arrhythmia risk. The model uses a drug's chemical formula to predict its impact on heart rhythm and has been validated with comparisons to clinical data from electrocardiogram results of patients.
Interacting with therapy dogs for several minutes reduces self-reported anxiety and salivary cortisol levels among emergency providers. The study suggests a small benefit in stress reduction after the interaction, but the extent of the benefit is unclear.
Chloroquine, hydroxychloroquine, and azithromycin can lead to rare but potentially life-threatening adverse events, including cardiac arrhythmias, hypoglycemia, and neuropsychiatric effects. Patients should be aware of the risks before treatment.
Eleven Kazan University projects have received funding from the Russian Science Foundation, with a focus on medical research and development of new technologies. The funded projects include studies on antimicrobial substances, protein synthesis, and cancer treatment.
Researchers have developed a risk-stratification tool to identify patients with low-risk penicillin allergies in the MICU. Direct oral challenge with amoxicillin has been shown to remove up to 60% of all penicillin allergies without symptoms of an allergic reaction.
Jason Gleghorn is developing microfluidic devices to culture entire lymph nodes outside the body, enabling real-time study of cell behavior. The project aims to understand chronic infection and inflammation, as well as drug delivery strategies for chemotherapy and antiretroviral therapies.
Researchers from ITMO University developed a new statistical analysis method to determine the size of atoms with high accuracy. This approach enables precise data on intermolecular interactions, crucial for assessing drug-protein binding and molecular structure.
Researchers at UNIGE have developed a new technique for creating chains of molecular rings that do not use standard chemical interactions but instead contact with large molecular surfaces. This discovery helps answer an old contradiction in classical chemistry and provides new prospects for molecular cyclization.
Researchers at the University of Bristol used virtual reality to predict how common medications work on a molecular level. They successfully 'docked' drug molecules into proteins and were able to accurately predict their binding behavior, including for flu and HIV treatments.
Cannabinoids can interact with various drugs, increasing the risk of adverse effects. Regular marijuana use may also affect the clearance of other medications. Understanding these interactions is crucial for patients and physicians.
Researchers at Gladstone Institutes have discovered new human genes controlling HIV infection, which could lead to the development of new therapies. The study used a large-scale genetic approach to uncover host proteins that facilitate infection and identify key genes involved in the process.
Researchers discover how Ebola virus interacts with human lipids and how disrupting this interaction can inhibit infection in cell culture. Two FDA-approved drugs show promise in blocking virus replication and spread.
Researchers at Texas Tech University Health Sciences Center have identified the specific region of serotonin type 3A receptor that interacts with the RIC-3 chaperone protein. This discovery could lead to more effective treatments for diseases such as Alzheimer's, Parkinson's, and schizophrenia.
The Duodenum Intestine-Chip, a living product from Emulate, Inc., was shown to accurately recreate key functions of the human duodenum. The chip demonstrated superior functionality compared to organoids alone in terms of global transcriptomic profile and physiological function.
Researchers developed an interactive health counselor to educate women about breast density, with participants showing increased knowledge and satisfaction. The prototype aims to empower women with accurate information throughout the breast cancer screening process.
Researchers at Purdue University have developed a novel approach using deep learning and 3D technology to model protein interactions. This innovation aims to create more accurate structure models of proteins involved in various diseases, ultimately leading to the design of targeted drugs that block specific protein-protein interactions.
A new study found that less than 2% of people at risk for an opioid overdose received naloxone, a life-saving drug. The study suggests that there are significant gaps in naloxone prescribing, particularly among high-risk groups such as those who have survived previous overdoses or have a history of opioid use disorder.
Researchers developed a mathematical framework to simulate molecular interactions, making it easier to develop new therapies. The study found that controlling three key parameters can affect how molecule chains interact, leading to new insights into disease mechanisms and potential treatments.
Lemon, a new framework, enables faster extraction of biological information from large datasets, enhancing drug development. The software can process PDB data in minutes, reducing time from hours to seconds.
A new method, called CNNC, uses convolutional neural networks to infer gene interactions from massive amounts of gene expression data. The approach outperforms existing methods at identifying disease-related genes and developmental pathways that might be targets for drugs.
A new study reveals that approximately 30% of patients taking opioids experience adverse drug interactions, which can lead to decreased efficacy and increased risk of addiction and overdose. The authors emphasize the importance of a thorough medication history and consulting a pharmacist before prescribing opioids.
Researchers developed a mathematical model to explore interactions between bacteria and drug-eluting medical devices. The model indicates that successful therapy depends on a balance between the drug's action and bacterial proliferation, influenced by coating properties and porosity.
Researchers have developed a method to precisely control the size and shape of nanoparticles, which could lead to more effective drug delivery systems. By modifying a base nanoparticle with a second polymer, scientists can create nanoparticles of specific dimensions.
A study by Oregon State University found that 18 batches of supposedly pure human blood serum contained caffeine, cough medicine, and anti-anxiety drugs, highlighting potential issues with contaminated blood transfusions. The research also tested for interactions between botanical supplements and prescription drugs.
A novel mathematical framework has been developed to map out precisely how different perturbations of the interactome influence each other. The study reveals that the position of targets of a given drug on the interactome is not random but rather localized within drug modules.
Purdue University is hosting two international entrepreneurs from Brazil and Uganda as part of the US Department of State's Global Innovation through Science and Technology Initiative. Marcos Valadares and Allan Eden are spending four weeks at the Purdue Foundry, refining their ideas and connecting with business experts.
A new study by Anne Hamby and colleagues found that people are more willing to update their memories if something bad has happened to a character, such as a death or serious illness. The researchers discovered that explaining alternative causes of events can help change beliefs and promote tolerance.
A study found that nearly 98% of people prescribed apixaban, a common anticoagulant, use over-the-counter products, which can cause dangerous internal bleeding. Many patients lack knowledge of these interactions, highlighting the need for education and further research.
University of Houston assistant professor Judy Wu is examining a connection between noncovalent interactions and aromaticity, which could control the strengths of noncovalent interactions for drug and materials discovery. Her project aims to bridge computer models with practical impacts in biomedical research.
Chemists at Ohio State University have discovered a new way to synthesize the most common molecule arrangement in medicine, which could make it easier and more efficient for drug makers to produce medicines. This breakthrough could lead to a reduction in waste and an improvement in the production process.
A new drug discovery platform created by Purdue University scientists has the potential to predict the effectiveness of psychoactive drugs in treating mental health illnesses. The platform analyzes compound interactions with proteins and identifies signature patterns for potential therapeutic uses.
Researchers developed an AI system that analyzes data on drug-drug interactions to predict potential negative side effects, including long-term organ damage and death. The system identified over 1,700,000 reports of serious health outcomes from drug-drug interactions, providing valuable insights for healthcare professionals.
A new Nightlife Safety Plan intervention demonstrates a reduction in alcohol and drug overuse among young adult nightclub patrons. The program increased protective actions among individuals to keep group members safe and reduced blood alcohol concentration.
A USF Health study discovers drugs targeting TAS2R14 can prevent reduced therapeutic effectiveness in poorly controlled asthma. Researchers found that one drug, diphenhydramine, worked better than others to maintain signaling and dilate airways without desensitization.
A new study suggests that up to 90% of people in treatment for addiction have a history of alcohol overdose, often combined with other substance use. The study's findings emphasize the importance of addressing alcohol use as a risk factor for severe overdose events.
Researchers have developed a new drug delivery strategy targeting K-Ras proteins, responsible for aggressive and untreatable cancers. The approach uses FTase and GGTase I inhibitors to disrupt the lipid modification of mutated K-Ras, blocking its proliferation.
A collaborative project between the University of Washington and UCB will explore ways to enhance community pharmacist engagement in epilepsy care. The effort seeks to address fragmented healthcare services and medication adherence issues affecting the 3.4 million people living with epilepsy.
Researchers at Monash University have discovered that receptors can communicate and interact, affecting the therapeutic actions of relaxin. This finding has implications for clinical trials involving relaxin and other drugs acting on these receptors.
Researchers found men living alone have lower anticoagulation control with warfarin, with median TTR of 57%, compared to cohabiting men. Women living alone also had lower TTR, but the difference was small and non-significant.
Research reveals that diet can alter the effectiveness of metformin, a type-2 diabetes drug, by influencing gut bacteria. The study found that specific nutrients can either enhance or suppress these effects, highlighting the importance of dietary guidance for improved treatment outcomes.
Researchers created nanoscale silica bottles that can encapsulate a wide range of payloads to be released at specific temperatures. The temperature-sensitive material melts when exposed to near-infrared light, releasing the therapeutic drug only where needed, potentially negating side effects.
A Brazilian health care system analysis found that women have a 90% increased risk for prescription of pill combinations known to produce reactions requiring medical attention. The study also revealed that one in four older adults over age 55 received drugs with an interaction, reaching one in three for ages 70-79.
Researchers create computational models of individual patient diseases to identify diagnostic and therapeutic targets, and use T cells as a fingerprint to diagnose various diseases. The study demonstrates the potential of digital twins to improve healthcare outcomes in complex diseases.
Researchers developed neuro biomarkers to create 'smart' deep brain stimulators, adapting to Parkinson's disease patient needs. The technology responds to fluctuating symptoms in real-time, improving the therapy.