Results 61 to 70 of about 1,985,411 (290)

CYP2D6 drug-gene and drug-drug-gene interactions among patients prescribed pharmacogenetically actionable opioids [PDF]

open access: yes, 2017
Purpose When codeine and tramadol are used for pain management, it is imperative that nurses are able to assess for potential drug-gene and drug-drug-gene interactions that could adversely impact drug metabolism and ultimately pain relief.
Broome, Marion E.   +6 more
core   +2 more sources

Efficacy and Safety Analysis of Roxarestat in Regulating Renal Anemia in Patients on Maintenance Hemodialysis

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Objective To compare the efficacy and safety of roxarestat versus recombinant human erythropoietin (rhEPO) in the management of renal anemia in patients undergoing maintenance hemodialysis. Methods This was a prospective, open‐label, randomized controlled trial.
Lingling Chen, Junjie Zhu, Qiaonan Ge
wiley   +1 more source

Measuring drug similarity using drug–drug interactions

open access: yesQuantitative Biology
Combination therapy is a promising approach to address the challenge of antimicrobial resistance, and computational models have been proposed for predicting drug–drug interactions.
Ji Lv   +4 more
doaj   +1 more source

Breaking the paradigm: Dr Insight empowers signature-free, enhanced drug repurposing [PDF]

open access: yes, 2019
Motivation: Transcriptome-based computational drug repurposing has attracted considerable interest by bringing about faster and more cost-effective drug discovery.
Baldwin, Nicole E.   +4 more
core   +1 more source

Enteropathogenic E. coli shows delayed attachment and host response in human jejunum organoid‐derived monolayers compared to HeLa cells

open access: yesFEBS Letters, EarlyView.
Enteropathogenic E. coli (EPEC) infects the human intestinal epithelium, resulting in severe illness and diarrhoea. In this study, we compared the infection of cancer‐derived cell lines with human organoid‐derived models of the small intestine. We observed a delayed in attachment, inflammation and cell death on primary cells, indicating that host ...
Mastura Neyazi   +5 more
wiley   +1 more source

Associated factors of potential drug-drug interactions and drug–food interactions in patients with multiple sclerosis

open access: yesTherapeutic Advances in Chronic Disease, 2022
Background: Multiple sclerosis (MS) is the most common immune-mediated demyelinating disease in younger adults. Patients with MS (PwMS) are vulnerable to the presence of potential drug–drug interactions (pDDIs) and potential drug–food interactions (pDFIs)
Jane Louisa Debus   +9 more
doaj   +1 more source

Maternal Drug Addiction: Influences on mother-child relationship and on early child development. [PDF]

open access: yes, 2016
Much literature has pointed out parental drug addiction as a risk factor at multiple levels for the dyad, affecting parenting quality, child development and more globally the adult-child relationship.
DE PALO, Francesca   +2 more
core  

Topical treatment of peripheral neuropathic pain: applying the evidence [PDF]

open access: yes, 2017
Patients with peripheral neuropathic pain (NP) may only achieve partial pain relief with currently recommended first-line oral treatments, which are also associated with systemic adverse events.
Cruccu, Giorgio, Sommer, Claudia
core   +1 more source

Organoids in pediatric cancer research

open access: yesFEBS Letters, EarlyView.
Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley   +1 more source

DeepDrug: A general graph‐based deep learning framework for drug‐drug interactions and drug‐target interactions prediction

open access: yesQuantitative Biology, 2023
Computational methods for DDIs and DTIs prediction are essential for accelerating the drug discovery process. We proposed a novel deep learning method DeepDrug, to tackle these two problems within a unified framework.
Qijin Yin   +5 more
doaj   +1 more source

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