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REPURPOSING FDA-APPROVED DRUGS FOR OVERCOMING AZOLE RESISTANCE IN CANDIDA SPECIESHassan Elsayed Eldesouky (8715252) 21 June 2022 (has links)
<p>In the past few decades, invasive mycosis has become a
growing threat to global health, afflicting millions of people and claiming the
lives of more than 1.5 million patients every year. Moreover, the economic
burden of mycotic infections has become
increasingly exhausting especially with the recent increases in the number of
the high-risk population, the immunocompromised individuals. In the USA, the cost
incurred by mycotic infections was estimated to be of more than $7.2 billion only in 2017. Of
particular concern, <i>Candida</i> species are the most common fungal pathogens
that infect humans, resulting in considerable morbidities and mortality rates
that often exceed 50%. Unfortunately, the antifungal drug discovery is
currently unable to keep pace with the urgent demand for more effective therapeutic
options. Further complicating the situation is the recent emergence of
multidrug-resistant species such as <i>Candida</i> <i>auris</i>, triggering
outbreaks of deadly Candidemia across the globe. Given the risks inherent to
the traditional de-novo drug discovery, combinatorial therapeutics stands out
as a promising tool to hamper drug resistance and extend the clinical utility
of the existing drugs. In this study, we assembled and screened ~3147 FDA-approved
drugs and clinical molecules against fluconazole-resistant <i>C. albicans</i>
and <i>C. auris</i> isolates, for the aim of restoring the antifungal activity
of azole antifungals against drug-resistant <i>Candida </i>species. The screen
revealed five promising hits: pitavastatin (antihyperlipidemic), ospemifene
(estrogen receptor modulator), sulfa antibacterial drugs, lopinavir
(antiviral), and aprepitant (antiemetic).</p>
<p>All identified hits demonstrated variable
azole chemosensitizing activities depending on the tested <i>Candida</i>
species and the azole drug. Pitavastatin displayed broad-spectrum synergistic
interactions with both fluconazole and voriconazole against isolates of <i>C.
albicans</i>, <i>C. glabrata</i>, and <i>C. auris</i>. Ospemifene was able to
interact synergistically with itraconazole against multiple fungal isolates
including <i>Candida</i>, <i>Cryptococcus</i>, and <i>Aspergillus</i> species.
Sulfa drugs displayed potent synergistic activities with different azoles
against <i>C. albicans</i>, however, a limited efficacy was observed against
efflux-hyperactive isolates such as <i>C. auris</i>. On the other hand, both
lopinavir and aprepitant exerted potent and broad-spectrum synergistic
activities with itraconazole and were effective against multiple <i>Candida</i>
species including <i>C. albicans</i>, <i>C. auris</i>, <i>C. glabrata</i>, <i>C.
krusie</i>, <i>C. tropicalis</i>, and <i>C. parapsilosis</i>. Furthermore, using
<i>Caenorhabditis elegans</i> as an infection model, all drug combinations
significantly reduced the fungal burden in the infected nematodes and
significantly prolonged their survival as compared to single-drug treatments. Multiple
phenotypic and molecular assays indicted that the identified hit compounds use
distinct mechanisms to enhance the antifungal activity of azole drugs. These
mechanisms include efflux pump inhibition, interference with the folate
biosynthesis and disturbance of iron homeostasis. Taken together, this study
reveals novel and potent azole chemosensitizing agents effective against multiple
azole-resistant isolates and opens the door for more investigations to assess
their clinical potential in human medicine as promising antifungal adjuvants.</p>
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In vitro and in silico Predictions of Hepatic Transporter-Mediated Drug Clearance and Drug-Drug Interactions in vivoVildhede, Anna January 2015 (has links)
The liver is the major detoxifying organ, clearing the blood from drugs and other xenobiotics. The extent of hepatic clearance (CL) determines drug exposure and hence, the efficacy and toxicity associated with exposure. Drug-drug interactions (DDIs) that alter the hepatic CL may cause more or less severe outcomes, such as adverse drug reactions. Accurate predictions of drug CL and DDI risk from in vitro data are therefore crucial in drug development. Liver CL depends on several factors including the activities of transporters involved in the hepatic uptake and efflux. The work in this thesis aimed at developing new in vitro and in silico methods to predict hepatic transporter-mediated CL and DDIs in vivo. Particular emphasis was placed on interactions involving the hepatic uptake transporters OATP1B1, OATP1B3, and OATP2B1. These transporters regulate the plasma concentration-time profiles of many drugs including statins. Inhibition of OATP-mediated transport by 225 structurally diverse drugs was investigated in vitro. Several novel inhibitors were identified. The data was used to develop in silico models that could predict OATP inhibitors from molecular structure. Models were developed for static and dynamic predictions of in vivo transporter-mediated drug CL and DDIs. These models rely on a combination of in vitro studies of transport function and mass spectrometry-based quantification of protein expression in the in vitro models and liver tissue. By providing estimations of transporter contributions to the overall hepatic uptake/efflux, the method is expected to improve predictions of transporter-mediated DDIs. Furthermore, proteins of importance for hepatic CL were quantified in liver tissue and isolated hepatocytes. The isolation of hepatocytes from liver tissue was found to be associated with oxidative stress and degradation of transporters and other proteins expressed in the plasma membrane. This has implications for the use of primary hepatocytes as an in vitro model of the liver. Nevertheless, by taking the altered transporter abundance into account using the method developed herein, transport function in hepatocyte experiments can be scaled to the in vivo situation. The concept of protein expression-dependent in vitro-in vivo extrapolations was illustrated using atorvastatin and pitavastatin as model drugs.
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