Background: Multiple-drug therapy for tuberculosis (TB) and TB-associated co-morbidity increase the likelihood of drug-drug interactions (DDIs). Inhibition of membrane transporters is an important mechanism underlying DDIs. In this study, we assessed the in vitro inhibitory potential of currently used first and second-line TB drugs and of proposed mycobacterial efflux pump inhibitors (EPIs) on the major ABC transporters relevant to drug transport, namely P-gp, BCRP, BSEP and MRP1-5.
Methods: Membrane vesicles isolated from transporter-overexpressing HEK293 cells were used to study the inhibitory action of TB drugs and EPIs on the transport of model substrates [(3)H]-NMQ (P-gp); [(3)H]-E1S (BCRP); [(3)H]-TCA (BSEP); [(3)H]-E217βG (MRP1, 3 and 4) and [(3)H]-MTX (MRP2 and 5).
Results: A strong inhibition (IC50 value <15 μM) was observed for clofazimine (P-gp, BCRP and MRP1), thioridazine (BCRP), timcodar (P-gp, BSEP and MRP1) and SQ109 (P-gp and BCRP). Rifampicin inhibited all transporters, but less potently.
Conclusions: Co-administration of clofazimine, thioridazine, timcodar, SQ109 and possibly rifampicin with drugs that are substrates for the inhibited transporters may lead to DDIs. The mycobacterial EPIs potently inhibited a wider range of human ABC transporters than previously reported. These vesicular transport data are especially valuable considering the current emphasis on development of TB drug regimens.
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http://dx.doi.org/10.1016/j.tube.2015.08.004 | DOI Listing |
Eur J Clin Microbiol Infect Dis
January 2025
Department of Medical Microbiology, PGIMER, Chandigarh, Chandigarh, 160012, India.
Cefepime-tazobactam (FEP-TAZ) consists of cefepime combined with tazobactam, a penicillanic acid-sulfone recognized as an established beta-lactamase inhibitor. This study aims to investigate the in-vitro effectiveness of FEP-TAZ against cefepime-resistant clinical isolates of Escherichia coli (E. coli).
View Article and Find Full Text PDFBiochem Genet
January 2025
Department of Cardiac Function, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430070, Hubei, China.
Lung adenocarcinoma (LUAD) is characterized by its aggressive nature and resistance to treatment. FAM107A is a tumor suppressor gene that has been found to possess inhibitory effects in several cancers, but its role in LUAD remains unclear. This study investigated the role of FAM107A in regulating LUAD cell growth, invasion and aerobic glycolysis and also investigated the potential underlying mechanisms.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA.
Background: Genome-wide association studies (GWAS) in Alzheimer's disease (AD) leveraging endophenotypes beyond case/control diagnosis, such as brain amyloid β pathology, have shown promise in identifying novel variants and understanding their potential functional impact. In this study, we leverage two brain amyloid β pathology measurement modalities, PET imaging and neuropathology, to address sample size limitations and to discover novel genetic drivers of disease.
Method: We conducted a meta-analysis on an amyloid PET imaging GWAS (N = 7,036, 35% amyloid positive, 53.
Alzheimers Dement
December 2024
Beth Israel Deaconess Medical Center, Boston, MA, USA.
Background: A significant proportion of individuals preserve cognitive function despite meeting neuropathological criteria for Alzheimer's disease (AD) at autopsy, known as cognitive resilience. We aimed to define the molecular and cellular signatures of cognitive resilience against AD.
Method: We integrated multi-modal data from the Religious Order Study and Memory and Aging Project (ROSMAP), including bulk (n = 631) and multi-regional single nucleus (n = 48) RNA sequencing.
Alzheimers Dement
December 2024
Cleveland Clinic, Cleveland, OH, USA.
Background: Cell-type specific expression quantitative trait loci (eQTLs) can help dissect cellular heterogeneity in the impact of genetic variation on gene expression for Alzheimer's disease (AD) and AD-related dementia (ADRD). However, due to the high cost and stringent sample collection criteria, it is challenging to obtain large single-nuclei RNA sequencing (snRNA-seq) data with sufficient cohort size to match genotyping data to systematically identify human brain-specific eQTLs for AD/ADRD.
Method: In this study, we presented a deep learning-based deconvolution framework on large-scale bulk RNA sequencing (RNA-seq) data to infer cell-type specific eQTLs in the human brains with AD/ADRD.
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