Articles tagged with Drug Interactions
A new University of Rochester study compares two groups of patients with dental extractions, finding that a combination of non-opioid pain medications and gabapentin can minimize or eliminate opioids for dental pain. The results show promise for reducing opioid use during the COVID-19 pandemic.
A new scale called the Geriatric Oncology-Potentially Inappropriate Medications (GO-PIMs) Scale was found to be more effective at predicting frailty than conventional methods. The scale identifies high-risk medications linked to falls and fatigue, allowing oncology teams to deprescribe them and improve patients' overall health.
University of Cincinnati researchers are studying whether targeting an inflammation pathway can improve patient results for soldiers with burn injuries combined with traumatic brain injuries. The research focuses on a specific protein that causes inflammation, which can lead to complications such as anemia and death.
A study found that a majority of online pharmacies selling imatinib, a chronic myeloid leukemia therapy, are uncertified and operate unsafely. Patients may face risks of nonadherence, treatment failures, and adverse events if they use these pharmacies.
A new study from MIT and Broad Institute researchers analyzed interactions between nanoparticles and nearly 500 types of cancer cells, revealing thousands of biological traits that influence cell response. The findings could help tailor drug-delivery particles to specific types of cancer.
Researchers at the University of Birmingham developed a new technique using mass spectrometry to analyze drug-protein interactions in real tissue samples. This allows scientists to predict the therapeutic effect of drugs earlier, enabling more effective treatment options.
A Tokyo University of Science study found that fluoride nanoparticles enhance β-sheet formation in amyloid β proteins, a common feature of Alzheimer's disease. The researchers also discovered that surrounding ions can control this process, paving the way for targeted treatments.
A study found that pharmacogenomic testing can help providers avoid prescribing antidepressants with undesirable outcomes. The test, which analyzes genes related to drug metabolism, resulted in a significant improvement in depression symptoms compared to usual care.
A new EU project, DeLIVERY, aims to develop a microscopy system for liver cells to test tolerability of drug interactions. The system will enable researchers to observe how liver cells react to different medications, dosages, and combinations, potentially leading to improved patient safety.
A new study by Vertice Pharma confirms that drinking coffee does not affect the absorption of a liquid formulation of levothyroxine. The research suggests that patients can take their medication with coffee without worrying about reduced absorption. This finding could lead to more flexibility in dosing and improved patient outcomes.
A recent study found that 70% of adults with stage 3 or 4 cancer were at risk of drug-drug interactions, highlighting the importance of deprescribing medications to avoid harm. The study's results emphasize the need for education and problem-solving to address polypharmacy in older adults with cancer.
A new case report highlights the risks of herbal supplements containing CBD and berberine, which can cause cardiac arrhythmias. The study involves a patient who experienced dizziness and fainting after taking high doses of hemp oil and berberine supplements, leading to a life-threatening condition.
A new study reveals massive variations in hospice medication prescriptions, with treatment agency being the primary factor. Patients in agencies with high prescription rates were up to 50 times more likely to receive benzodiazepines or antipsychotics.
A team of researchers from Kumamoto University has developed a transformable polyrotaxane carrier that can facilitate genome editing using Cas9RNP with high efficiency. The carrier, called amino-PRX, is multi-step transformable and has low cytotoxicity, making it an enormously promising candidate for safe and efficient delivery.
A team of international researchers created digital models of disease interactions to identify key proteins and signaling cascades in seasonal allergies. They found that inhibiting PDGF-BB protein was more effective than existing treatments, suggesting a potential breakthrough in personalized medicine.
Researchers at the University of Waterloo found that combining diuretics and renin-angiotensin system inhibitors with ibuprofen can lead to acute kidney injury in people with certain medical profiles. The combination may be a 'triple whammy' that exacerbates dehydration, which is a major factor in acute kidney injury.
Researchers developed a deep learning-based model to predict drug-drug interactions using gene expression data. The DeSIDE-DDI model can identify potentially dangerous pairs and act as a drug safety monitoring system, helping establish the correct usage of drugs in the development phase.
Researchers at Arizona State University have developed a new technique called evanescent scattering microscopy (ESM), which allows for the visualization of proteins and other vital biomolecules with unparalleled clarity. This label-free imaging method reduces light-induced heating and requires no fluorescent dye or gold coating, making...
The review identifies a need for further study on how sex steroids affect drug metabolism in transgender adults, who may have altered enzyme activity due to hormonal treatment. This is crucial for minimizing unintended side effects from combining hormone therapies with other medications.
The study analyzed drug-drug interactions associated with adverse clinical outcomes and/or adverse drug reactions in patients with COVID-19. Drug interaction checkers were found to be helpful in identifying such events, suggesting their potential utility in real-world settings.
A new deep learning-based model called Highlights on Target Sequences (HoTS) predicts binding between drugs and target molecules, providing interpretable results. The model can predict target proteins' binding regions and interactions with drugs without a 3D complex.
A large study found that small to moderate-sized leaks after left atrial appendage occlusion (LAAO) procedures significantly increased the risk of adverse events such as clotting and bleeding in AFib patients. Researchers suggest optimizing device placement techniques and using newer devices may help minimize leaks and reduce stroke risk.
Professor Antonio Cherubini has made significant contributions to the field of geriatric medicine and musculoskeletal diseases. He is recognized for his work on aging, bone health, and age-related diseases.
A systematic review of psilocybin interactions with psychiatric medications reveals a lack of scientific research, leaving clinicians and patients uncertain about treatment combinations. The review highlights the need for further studies on clinical outcomes of combining pharmaceutical medications with psilocybin.
A new UMaine study shows that a specific combination of pathogens and drugs can effectively treat fungal lung infections. Researchers found that Pseudomonas aeruginosa works with fluconazole to eliminate drug tolerance and clear Candida albicans infection, suggesting that nutrient availability can impact treatment efficacy.
A study published in Nature Communications reveals the precise molecular structure of siponimod, a multiple sclerosis drug, and its interactions with S1P receptors. This knowledge may lead to the development of more targeted therapies that reduce side effects.
Researchers from CCDC, Exscientia, and Oxford University have developed an automated method for informing the design of compound selectivity across protein families. The 'Hotspot API' uses ensemble hotspot maps to quantify the propensity for compounds to exploit interactions in preferred binding sites.
The article suggests a potential treatment option for COVID-19 by targeting SARS-CoV-2's interaction with ACE2 receptors. Combining DPP4 inhibitors and spironolactone may mitigate COVID-19 complications and infections without adverse side effects.
A recent study identified specific RNA biomarkers linked to gastrointestinal symptoms in children with autism. The findings could lead to the development of personalized treatments to ease the pain of these individuals. The research has implications for precision medicine, enabling healthcare providers to track medication effectiveness...
Researchers found that 1% of US adults taking opioids are also prescribed benzodiazepines and other sedatives. This polypharmacy approach is linked to increased side effects and may pose dangers to vulnerable populations.
Researchers at Argonne National Laboratory discovered how microparticles can change direction when an electric stimulus is interrupted and reapplied with the same orientation. This emergent behavior has potential applications in microfluidic pumps for biomedical, chemical, and electronics applications.
Researchers found a significant increase in overdose deaths involving gabapentinoids and z-drugs between 2000 and 2018. The proportion of deaths increased by more than three-fold, coinciding with exponential prescription increases. Co-usage with opioids was common, with over 67% of overdose victims having both substances in their system.
Researchers at NTU Singapore have developed a new method to generate sulphur pharmacophores, which are crucial for drug discovery. The method uses a catalyst called pentanidium and can produce multiple variations of pharmacophores, making the process more efficient and fruitful.
The study demonstrated that photodynamic therapy (PDT) using chlorin e-6 can effectively reduce bacterial plaque biofilms containing cariogenic microorganisms, including Streptococcus mutans. The treatment eliminated S. mutans and decreased total microorganisms by up to 3.7 units, with approximately 99% efficacy of antimicrobial activity.
Researchers will use transcriptomics and chemogenetics to identify molecular targets for pain management. The project aims to advance knowledge on pain mechanisms and develop novel therapeutic strategies.
Researchers developed a new method to screen drugs for treating Alzheimer's disease, shedding light on why current treatments have been ineffective. The study identified new targets for drug development by analyzing disease mechanisms in human neurons.
A recent review highlights the potential of structural proteomics in understanding pathological processes and predicting drug candidates for neurodegenerative diseases. The field combines protein chemistry and mass spectrometry to determine protein structure and interactions, which can lead to breakthroughs in treating serious health c...
Researchers found that glioma cells with mutated ATRX have reduced Chk1 activity, leading to dysregulated cell cycle and heightened sensitivity to ATM inhibitors. The study suggests that combining radiation therapy with these inhibitors may improve treatment outcomes for patients with this gene mutation.
A retrospective analysis of 13 clinical trials found that most combination therapies involving immune checkpoint inhibitors worked due to independent drug action, rather than synergy or additivity. This discovery has implications for cancer clinical trial design and may help improve treatment outcomes.
Researchers have created a new, simpler way to fabricate SERS nanostructures with superior stability and performance at low cost. By using a heat-resistant polymer called polyimide (PI), they can produce nanosurfaces with nanopillars that enhance signal intensity for efficient chemical detection. The new fabrication method has the pote...
A new study sheds light on the molecular interactions between remdesivir and various viruses, revealing why it works against SARS-CoV-2 but not others like influenza. The findings aim to develop broad-spectrum therapies for future pandemics.
An AI-driven solution identifies sites on RNA and DNA molecules where interaction with potential drug candidates can occur. This allows pharmaceutical companies to discover new medications in a more focused and efficient manner.
New research suggests that cannabis use can lead to harmful drug-drug interactions by interfering with two families of enzymes that metabolize a wide range of drugs. This could result in unintended side effects such as toxicity or accidental overdose, particularly for older individuals using medications.
A new computational tool allows precise prediction of protein interfaces for COVID-19 and human interactions. This breakthrough enables researchers to better understand virus development, identify high-risk populations, and develop targeted drugs.
A new approach has been developed to identify proteins affected by pollutants and chemicals, allowing for early detection of harmful biological effects. The method, called PISA, can be used to study the interactions between chemicals and proteins, revealing potential toxicity pathways.
Researchers at West Virginia University have received FDA approval for a new drug to treat uveal melanoma, a rare form of eye cancer. The drug, MTI-201, targets specific biomarkers in diseased cells, allowing for more precise treatment with minimal damage to healthy cells.
Researchers aim to make drug purification more efficient and scalable by understanding unwanted element interactions. They explored ligand-surface interactions using NMR spectroscopy and simulations.
A new photo-ethnography study published in Criminology explores the narratives and motivations of men and women in rural Alabama who used methamphetamine. The study reveals that participants' stories about their drug use differed by gender, shaping how they interacted with others and navigated their relationships.
A study of nearly 179,000 veterans aged 65+ found that maximizing the dosage of an existing medication can lead to better adherence and lower blood pressure. Adding a new medication shows a slim advantage in some cases, but with risks associated with polypharmacy.
Researchers found a correlation between high levels of Gas6 and zika-induced neurological complications. Gas6 helps the virus invade human cells, facilitating viral replication and aggravating infection. The discovery paves the way for future research on developing drugs to combat the virus.
Researchers designed novel molecules that bound tightly to SARS-CoV-2's molecular scissors, inhibiting the virus's replication. The breakthrough could lead to new treatments for COVID-19.
Eosinophils, a type of white blood cell, play a crucial role in destroying malignant tumors by recruiting T-cells and releasing destructive proteins. The study, published in Cancer Research, reveals that eosinophils combat cancer effectively but require the help of T-cells to do so.
A study found that microgravity significantly impacts P-glycoprotein expression and function in rats, with higher levels of P-gp expression in long-term microgravity exposure. The researchers identified 26 proteins interacting with P-gp, which regulated ATP hydrolysis-coupled transmembrane transport and other functions.
Researchers found that certain species of gut bacteria accumulate human drugs, altering their types, activity, and metabolism. This can change the effectiveness of the drug both directly and indirectly, affecting side effects.
A study conducted at a Brazilian university found that treatment with curcumin and light reduces parasite load and eliminates Leishmania parasites completely. Curcumin showed good distribution in macrophages and reduced amastigotes' viability, changing their mitochondrial activity.
Researchers have determined the structure of human leukotriene B4 receptor 1 (hBLT1), a protein involved in inflammation and disease. The analysis reveals how the receptor recognizes its binding partners and interacts with them, opening up avenues for designing better drugs.
Researchers have developed a neural network model called BiteNetPp to detect protein-peptide binding sites, enabling the design of peptide-based drugs. The model consistently outperforms existing methods and can analyze a single protein structure in under a second, making it suitable for large-scale studies.
A new model using simple changes in microbe growth curves can predict how antibiotic resistance evolves in response to different treatment combinations, doses and sequences. The model helps explain counterintuitive behavior observed in past experiments, such as slowed evolution when combining two antibiotics.
Researchers identified a specific interaction between SARS-CoV-2 and G-quadruplexes in human cells. Using G4 ligands, they showed antiviral activity against the virus.
Researchers at Baylor College of Medicine found that a modular network organization is critical for persistent neural activity in the brain. The study revealed that each hemisphere makes its own copy of information and coordinates with the other hemisphere to ensure coherent information during working memory.