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16 pages, 700 KiB  
Review
Pharmacogenetics of the Treatment of Neglected Diseases
by Tiffany Borges Cabral, Amanda Carvalho de Oliveira, Gisely Cardoso de Melo and Fernanda Rodrigues-Soares
Genes 2025, 16(1), 54; https://doi.org/10.3390/genes16010054 - 5 Jan 2025
Viewed by 332
Abstract
Background/Objectives: Pharmacogenetics (PGx) aims to identify individuals more likely to suffer from adverse reactions or therapeutic failure in drug treatments. However, despite most of the evidence in this area being from European populations, some diseases have also been neglected, such as HIV infection, [...] Read more.
Background/Objectives: Pharmacogenetics (PGx) aims to identify individuals more likely to suffer from adverse reactions or therapeutic failure in drug treatments. However, despite most of the evidence in this area being from European populations, some diseases have also been neglected, such as HIV infection, malaria, and tuberculosis. With this review, we aim to emphasize which pharmacogenetic tests are ready to be implemented in treating neglected diseases that have some evidence and call attention to what is missing for these three diseases. Methods: A critical literature review on the PGx of HIV infection, malaria, and tuberculosis was performed. Results: There are three PGx guidelines for antiretroviral drugs used in HIV infection, one for malaria, and none for tuberculosis. Some evidence is already available, and some genes have already been identified, such as CYP2D6 for primaquine treatment and NAT2 for isoniazid. However, some barriers to the implementation are the lack of evidence due to the few studies on the diseases themselves and the admixture of the most affected populations, which must be considered, given the genetic differentiation of these populations. Conclusions: PGx tests such as abacavir are already implemented in some places, and efavirenz/atazanavir is ready to implement if this medication is used. Other gene–drug associations were found but still do not present a clear recommendation. We call attention to the need to generate more evidence for testing treatments for other neglected diseases, such as malaria and tuberculosis, given their epidemiological importance and for the public health of less favored populations. Full article
(This article belongs to the Special Issue Pharmacogenomics in Infectious Diseases)
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<p>Representation of the concentration x time according to the predicted phenotypes: PMs (red), NMs (blue), and UMs (purple) when a drug (<b>A</b>) and a prodrug (<b>B</b>) are administered. The prodrug (<b>B</b>) figure represents the active metabolite concentration.</p>
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9 pages, 2674 KiB  
Article
Impact of Solvent-Mediated Phase Transitions by Artificial Gastrointestinal Buffers on Efavirenz Polymorphs
by Yoga Windhu Wardhana, Eli Nuraisyah, Angga Prawira Kautsar, Patihul Husni, Arif Budiman and Anis Yohana Chaerunisaa
Crystals 2025, 15(1), 48; https://doi.org/10.3390/cryst15010048 - 2 Jan 2025
Viewed by 315
Abstract
The implications of various pH solutions in the gastrointestinal fluid system as solvent-mediated phase transitions on concurrent polymorphism transformation, notably metastable polymorphic forms of Efavirenz (EFV), has never been investigated. The impact will be shifting in the solubility and crystallinity of EFV polymorphisms, [...] Read more.
The implications of various pH solutions in the gastrointestinal fluid system as solvent-mediated phase transitions on concurrent polymorphism transformation, notably metastable polymorphic forms of Efavirenz (EFV), has never been investigated. The impact will be shifting in the solubility and crystallinity of EFV polymorphisms, particularly metastable Forms II and III. EFV’s metastable form is generated by recrystallization with n-hexane and methanol, which were all immersed in artificial digestion buffer solutions for 10 and 100 h, respectively. Form II showed a 9–13.2% increase in solubility, whereas Form III increased by 2–7.3% over Form I. Interestingly, Form II revealed decreased crystallinity, but Form III tended to retain or slightly increase. In acidic solutions, all metastable polymorphs had the highest solubility and crystallinity. Form III appears to have a lower impact on phase transitions owing to pH variations than Form II. These findings indicate that variability in the pH of digestive secretions are essential steps in developing successful pharmaceutical formulations. Finally, our findings provide information on the complex interaction between solvents, pH variations, and EFV polymorphs. The findings identified the importance of these factors in the development of successful pharmaceutical formulations. Full article
(This article belongs to the Section Organic Crystalline Materials)
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<p>Characteristics of EFV polymorphs by (<b>A</b>) thermogram DSC and (<b>B</b>) diffractogram of PXRD [<a href="#B22-crystals-15-00048" class="html-bibr">22</a>].</p>
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<p>Solubility of EFV polymorphs in various artificial GIT fluids.</p>
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<p>Changes (arrows indicate peak changes that occur) in the X-ray diffraction patterns of EFV metastable polymorphs (<b>a</b>) Form II, (<b>b</b>) Form III under soak at various artificial GIT fluids; A. Water in 10 h; B. Water in 100 h; C. Buffer pH 6.8 in 10 h; D. Buffer pH 6.8 in 100 h; E. Buffer pH 4.6 in 10 h; F. Buffer pH 4.6 in 100 h; G. Buffer pH 1.2 in 10 h; H. Buffer pH 1.2 in 100 h.</p>
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<p>Predicting the defensive mechanism of the crystal structural lattice of polymorphic modifications of EFV against hydrogen bonds using molecular model analysis (<b>A</b>) is molecule model for Form I, (<b>B</b>) is Form II, and (<b>C</b>) is Form III with different synthon) from CCDC (Cambridge Crystallographic Data Centre).</p>
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<p>Predicting of habit transition between polymorphs by ionic strength in water as solvent.</p>
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13 pages, 790 KiB  
Article
High Prevalence of Severe Depression in Mexican Patients Diagnosed with HIV Treated with Efavirenz and Atazanavir: Clinical Follow-Up at Four Weeks and Analysis of TPH2 SNPs
by Sandra Angélica Rojas-Osornio, Francisco Guerra-Castillo, Antonio Mata-Marín, Vladimir Paredes-Cervantes, Charmina Aguirre-Alvarado, Carolina Bekker-Méndez, Gilberto Pérez-Sánchez, José Molina-López, Mónica Ortiz-Maganda, Aurora Mercado-Méndez and Emiliano Tesoro-Cruz
J. Clin. Med. 2024, 13(24), 7823; https://doi.org/10.3390/jcm13247823 - 21 Dec 2024
Viewed by 397
Abstract
Efavirenz (EFV) causes neuropsychiatric effects such as anxiety, depression, and suicidal thoughts in people with HIV (PWH). Depressive disorders have been associated with the Tryptophan hydroxylase type 2 (TPH2) gene. Objectives: This study determines the genotypes and allelic frequencies of [...] Read more.
Efavirenz (EFV) causes neuropsychiatric effects such as anxiety, depression, and suicidal thoughts in people with HIV (PWH). Depressive disorders have been associated with the Tryptophan hydroxylase type 2 (TPH2) gene. Objectives: This study determines the genotypes and allelic frequencies of three TPH2 single nucleotide polymorphisms (SNPs) in a Mexican cohort of HIV-1 treatment-naïve-patients and the severity of depressive symptoms at baseline and after a four-week clinical follow-up of antiretroviral treatment. Methods: In a pilot prospective study, eighty-one antiretroviral treatment-naïve patients were recruited from the Infectious Disease Hospital, National Medical Center “La Raza”, in Mexico City. Of these, 39 were treated using a set-dose combination regimen of tenofovir disoproxil fumarate/emtricitabine (TDF/FTC) plus EFV and 42 were treated with TDF/FTC plus atazanavir/ritonavir (ATV/r), and fifty-nine control volunteers. Genomic DNA was obtained from peripheral blood mononuclear cells. All DNA samples underwent qPCR utilizing TaqMan probes for the three TPH2 SNPs studied. All participants underwent evaluation utilizing the Beck Depression Inventory. Results: Of the three SNPs examined, none exhibited any notable differences in the distribution of the alleles between the groups; nevertheless, rs4570625 TT and rs1386493 GG presented a twofold and fivefold greater risk of severe depression in PWH, respectively, independently of the treatment. Among PWH, those treated with EFV experienced severe depression at a higher rate of 90.4% after four weeks, compared to 87.5% in those treated with ATV/r. Conclusions: High rates of severe depression were identified in PWH, who presented the rs4570625 TT and rs1386493 GG polymorphic variants. Depression increased after four weeks of treatment and was higher with EFV than ATV/r. It is crucial to emphasize the necessity of conducting psychiatric monitoring for every patient with HIV and administering prompt antidepressant treatment. Full article
(This article belongs to the Section Mental Health)
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<p>Graphic representation of the differences in severe depression between groups. Graphic representation differences in severe depression (&gt;26 points) presented by the BDI study individuals at the beginning and 4 weeks later. An increase can be observed in both treated groups, with greater significance in patients treated with TDF/FTC + EFV (*** <span class="html-italic">p</span> &lt; 0.0001) compared to patients treated with TDF/FTC + ATV/r (* <span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Graphic representation of the relative risk (RR) between the presence of SNPs and severe depression. Regardless of the group (control, TDF/FTC + EFV or TDF/FTC +ATV/r), the three SNPs studied showed a greater risk of severe depression: rs7305115 presented a 1.5-fold greater risk, rs4570625 polymorphic variant presented a twofold greater risk, while those with the rs1386493 polymorphic variant presented more than fivefold greater risk.</p>
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19 pages, 442 KiB  
Article
K103N, V106M and Y188L Significantly Reduce HIV-1 Subtype C Phenotypic Susceptibility to Doravirine
by Nikita Reddy, Maria Papathanasopoulos, Kim Steegen and Adriaan Erasmus Basson
Viruses 2024, 16(9), 1493; https://doi.org/10.3390/v16091493 - 20 Sep 2024
Viewed by 1120
Abstract
Doravirine (DOR) is a non-nucleoside reverse transcriptase inhibitor (NNRTI) with efficacy against some NNRTI-resistant mutants. Although DOR resistance mutations are established for HIV-1 subtype B, it is less clear for non-B subtypes. This study investigated prevalent NNRTI resistance mutations on DOR susceptibility in [...] Read more.
Doravirine (DOR) is a non-nucleoside reverse transcriptase inhibitor (NNRTI) with efficacy against some NNRTI-resistant mutants. Although DOR resistance mutations are established for HIV-1 subtype B, it is less clear for non-B subtypes. This study investigated prevalent NNRTI resistance mutations on DOR susceptibility in HIV-1 subtype C. Prevalent drug resistance mutations were identified from a South African genotypic drug resistance testing database. Mutations, single or in combination, were introduced into replication-defective pseudoviruses and assessed for DOR susceptibility in vitro. The single V106M and Y188L mutations caused high-level resistance while others did not significantly impact DOR susceptibility. We observed an agreement between our in vitro and the Stanford HIVdb predicted susceptibilities. However, the F227L mutation was predicted to cause high-level DOR resistance but was susceptible in vitro. Combinations of mutations containing K103N, V106M or Y188L caused high-level resistance, in agreement with the predictions. These mutations are frequently observed in patients failing efavirenz- or nevirapine-based first-line regimens. However, they are also observed in those failing a protease inhibitor-based second-line regimen, as we have observed in our database. Genotypic drug resistance testing is therefore vital prior to the initiation of DOR-based treatment for those previously exposed to efavirenz or nevirapine. Full article
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<p>Phenotypic susceptibility of HIV-1 wild-type subtype B (NSX) and C (MJ4) to DOR. The HIV-1 subtype B (p8.9NSX+) and C (p8.9MJ4) backbone plasmids were used to produce the respective PSVs. In vitro phenotypic assays were performed to assess the susceptibility of each wild-type ubtype. (<b>a</b>) The average of the resulting IC<sub>50</sub> values of the subtype B and C PSVs were used to calculate the FC for each mutant PSV. (<b>b</b>) DOR susceptibility was expressed as the IC<sub>50</sub> value of the PSV compared to the average IC<sub>50</sub> value of the corresponding subtype wild-type reference. The TCO was the average wild-type IC<sub>50</sub> of the PSV compared to the 99th percentile of the wild-type IC<sub>50</sub>. The average IC<sub>50</sub> values were as follows: subtype B—0.0033 µM; subtype C—0.0056 µM. The 99th percentile of the IC<sub>50</sub> values were as follows: subtype B—0.0051 µM; subtype C—0.0073 µM. The TCOs were as follows: subtype B—1.55; subtype C—1.31. The TCOs were used to classify the susceptibility/resistance of the NNRTI-mutant PSVs downstream. An unpaired Student t-test with Welch’s correction was used to compare the DOR susceptibility of NSX and MJ4: IC<sub>50</sub> = <span class="html-italic">p</span>-value &lt; 0.0001 (****) and FC = <span class="html-italic">p</span>-value &gt; 0.9999. ns—no significance (<span class="html-italic">p</span>-value &gt; 0.05), IC<sub>50</sub>—50% inhibitory concentration.</p>
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<p>Phenotypic susceptibility of single NNRTI mutations to DOR. In vitro phenotypic assays were performed to assess the susceptibility of each mutant. The lower TCO for DOR susceptibility in the assay was 1.31. DOR susceptibility/resistance was classified as follows: FC ≤ TCO = susceptible (<span style="color:#00FE00">■</span>); TCO &gt; FC ≤ 2 × TCO = potential low-level resistance (<span style="color:#FBFB8F">■</span>); 2 × TCO &gt; FC ≤ 3 × TCO = low-level resistance (<span style="color:#FFFF00">■</span>); 3 × TCO &gt; FC ≤ 4 × TCO = intermediate resistance (<span style="color:#F79646">■</span>); and FC &gt; 4 × TCO = high-level resistance (<span style="color:#FF6D6D">■</span>). The coloured dots above each bar graph represent Standford’s HIV Drug Resistance Mutation (DRM) score. It indicates the level of resistance predicted by their algorithm for a particular mutation (low-level resistance (<span style="color:#FFFF00">■</span>), intermediate resistance (<span style="color:#FDA442">■</span>), high-level resistance (<span style="color:#FF0006">■</span>)). The bars without dots (e.g., K103N, V179D) were predicted to be susceptible to DOR; as their score would be 0, the dots are not depicted. V106M and Y188L displayed high-level resistance to DOR. F227L showed low-level DOR resistance despite having a predicted high-level resistance.</p>
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<p>Phenotypic susceptibility of V106M in laboratory-adapted strains to DOR. In vitro phenotypic assays were performed to assess the susceptibility of V106M in the subtype B (<b>a</b>) and subtype C (<b>b</b>) laboratory-adapted strains and were expressed as FC. The lower TCO for DOR susceptibility in the assay was 1.31 for subtype C and 1.55 for subtype B. DOR susceptibility/resistance was classified as follows: FC ≤ TCO = susceptible (<span style="color:#00FE00">■</span>); TCO &gt; FC ≤ 2 × TCO = potential low-level resistance (<span style="color:#FBFB8F">■</span>); 2 × TCO &gt; FC ≤ 3 × TCO = low-level resistance (<span style="color:#FFFF00">■</span>); 3 × TCO &gt; FC ≤ 4 × TCO = intermediate resistance (<span style="color:#F79646">■</span>); and FC &gt; 4 × TCO = high-level resistance (<span style="color:#FF6D6D">■</span>). The Stanford HIV Drug Resistance Database predicted intermediate resistance. The subtype B and C laboratory-adapted strains displayed high-level resistance to DOR. *—<span class="html-italic">p</span>-value ≤ 0.05, **—<span class="html-italic">p</span>-value ≤ 0.01, ***—<span class="html-italic">p</span>-value ≤ 0.001.</p>
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<p>Comparing V106M susceptibility in subtype B and C laboratory-adapted strains. The phenotypic responses between the laboratory-adapted strains containing the V106M mutation were compared to each other. The mean IC<sub>50</sub> of each laboratory-adapted strain was compared with a one-way ANOVA and the <span class="html-italic">p</span>-values &lt; 0.05 were considered significant (<span style="color:#C7E6A4">■</span>).</p>
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<p>Phenotypic susceptibility of F227L in laboratory-adapted strains to DOR. In vitro phenotypic assays were performed to assess the susceptibility of F227L in the subtype B (<b>a</b>) and subtype C (<b>b</b>) laboratory-adapted strains and were expressed as FC. The lower TCO for DOR susceptibility in the assay was 1.31 for subtype C and 1.55 for subtype B. DOR susceptibility/resistance was classified as follows: FC ≤ TCO = susceptible (<span style="color:#00FE00">■</span>); TCO &gt; FC ≤ 2 × TCO = potential low-level resistance (<span style="color:#FBFB8F">■</span>); 2 × TCO &gt; FC ≤ 3 × TCO = low-level resistance (<span style="color:#FFFF00">■</span>); 3 × TCO &gt; FC ≤ 4 × TCO = intermediate resistance (<span style="color:#F79646">■</span>); and FC &gt; 4 × TCO = high-level resistance (<span style="color:#FF6D6D">■</span>). Intermediate resistance was predicted by the Stanford HIV Drug Resistance Database. The subtype B laboratory-adapted strains displayed potential and low-level resistance to DOR. The subtype C laboratory-adapted strains displayed susceptibility to DOR. ns—no significance (<span class="html-italic">p</span>-value &gt; 0.05), *—<span class="html-italic">p</span>-value ≤ 0.05, **—<span class="html-italic">p</span>-value ≤ 0.01, ***—<span class="html-italic">p</span>-value ≤ 0.001, ****—<span class="html-italic">p</span>-value ≤ 0.0001.</p>
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<p>Comparing F227L susceptibility in subtype B and C laboratory-adapted strains. The phenotypic responses between the laboratory-adapted strains containing the F227L mutation were compared to each other. The mean IC<sub>50</sub> of each laboratory-adapted strain was compared with a one-way ANOVA and the <span class="html-italic">p</span>-values &lt; 0.05 were considered significant (<span style="color:#C7E6A4">■</span>).</p>
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<p>Phenotypic susceptibility of combination NNRTI mutations to DOR. In vitro phenotypic assays were performed to assess the susceptibility of each mutant and susceptibility was expressed as FC. The lower TCO for DOR susceptibility in the assay was 1.31. DOR susceptibility/resistance was classified as follows: FC ≤ TCO = susceptible (<span style="color:#00FE00">■</span>); TCO &gt; FC ≤ 2 × TCO = potential low-level resistance (<span style="color:#FBFB8F">■</span>); 2 × TCO &gt; FC ≤ 3 × TCO = low-level resistance (<span style="color:#FFFF00">■</span>); 3 × TCO &gt; FC ≤ 4 × TCO = intermediate resistance (<span style="color:#F79646">■</span>); and FC &gt; 4 × TCO = high-level resistance (<span style="color:#FF6D6D">■</span>). The coloured dots above each bar graph represent Standford’s HIV Drug Resistance score for the Drug Resistance Mutation (DRM) profile. It indicates the level of resistance predicted by their algorithm for a particular mutation (low-level resistance (<span style="color:#FFFF00">■</span>), intermediate resistance (<span style="color:#FDA442">■</span>), high-level resistance (<span style="color:#FF0006">■</span>)). The majority of the mutants (17 of 20) displayed high-level resistance to DOR.</p>
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14 pages, 1486 KiB  
Article
Comparative Effects of Efavirenz and Dolutegravir on Metabolomic and Inflammatory Profiles, and Platelet Activation of People Living with HIV: A Pilot Study
by Crystal G. Roux, Shayne Mason, Louise D. V. du Toit, Jan-Gert Nel, Theresa M. Rossouw and Helen C. Steel
Viruses 2024, 16(9), 1462; https://doi.org/10.3390/v16091462 - 14 Sep 2024
Viewed by 1229
Abstract
Antiretroviral therapy (ART) has reduced the mortality and morbidity associated with HIV. However, irrespective of treatment, people living with HIV remain at a higher risk of developing non-AIDS-associated diseases. In 2019, the World Health Organization recommended the transition from efavirenz (EFV)- to dolutegravir [...] Read more.
Antiretroviral therapy (ART) has reduced the mortality and morbidity associated with HIV. However, irrespective of treatment, people living with HIV remain at a higher risk of developing non-AIDS-associated diseases. In 2019, the World Health Organization recommended the transition from efavirenz (EFV)- to dolutegravir (DTG)-based ART. Data on the impact of this transition are still limited. The current study therefore investigated the metabolic profiles, cytokine inflammatory responses, and platelet activation before and after the treatment transition. Plasma samples from nine virally suppressed adults living with HIV and sixteen healthy, HIV-uninfected individuals residing in Gauteng, South Africa were compared. Metabolite and cytokine profiles, and markers associated with platelet activation, were investigated with untargeted proton magnetic resonance metabolomics, multiplex suspension bead array immunoassays, and sandwich enzyme-linked immunosorbent assays, respectively. In those individuals with normal C-reactive protein levels, the transition to a DTG-based ART regimen resulted in decreased concentrations of acetoacetic acid, creatinine, adenosine monophosphate, 1,7-dimethylxanthine, glycolic acid, 3-hydroxybutyric acid, urea, and lysine. Moreover, increased levels of formic acid, glucose, lactic acid, myo-inositol, valine, glycolic acid, and 3-hydroxybutyric acid were observed. Notably, levels of interleukin-6, platelet-derived growth factor-BB, granulocyte-macrophage colony-stimulating factor, tumor necrosis factor–alpha, soluble cluster of differentiation 40 ligand, as well as regulated on activation, normal T-cell expressed and secreted (RANTES) reached levels close to those observed in the healthy control participants. The elevated concentration of macrophage inflammatory protein-1 alpha was the only marker indicative of elevated levels of inflammation associated with DTG-based treatment. The transition from EFV- to DTG-based regimens therefore appears to be of potential benefit with metabolic and inflammatory markers, as well as those associated with cardiovascular disease and other chronic non-AIDS-related diseases, reaching levels similar to those observed in individuals not living with HIV. Full article
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<p>Violin and box plots depicting metabolite peak intensities of interest of five people living with HIV, before and after transitioning from an efavirenz- to a dolutegravir-based regimen, compared to sixteen healthy, HIV-uninfected control individuals. The results presented exclude participants with CRP concentrations above 5 mg/L. Levels of significance (<span class="html-italic">p</span>-values) between the treatment groups and control cohort are unpaired; <span class="html-italic">p</span>-values indicated between the two treatment groups are paired analyses. Abbreviations: Con: control; DTG: dolutegravir; EFV: efavirenz; NS: not significant.</p>
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<p>Violin and box plots depicting inflammatory markers of interest. Concentrations are depicted in pg/mL in five people living with HIV before and after transitioning from an efavirenz- to a dolutegravir-based regimen, compared to sixteen healthy, HIV-uninfected control individuals. Results exclude participants with concentrations of CRP above 5 mg/L. Levels of significance (<span class="html-italic">p</span>-values) between the treatment groups and control cohorts are unpaired; <span class="html-italic">p</span>-values between the two treatment groups are paired analyses. Abbreviations: α: alpha; Con: control; DTG: dolutegravir; EFV: efavirenz; IL: interleukin; MIP: macrophage inflammatory protein; NS: not significant; G-CSF: granulocyte colony-stimulating factor; GM-CSF: granulocyte–macrophage colony-stimulating factor; PDGF: platelet-derived growth factor.</p>
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<p>Violin and box plots of the platelet activation markers in five people living with HIV receiving efavirenz- or dolutegravir-based regimens, as well as the concentrations of sixteen healthy, HIV-uninfected controls. Results exclude participants with CRP concentrations above 5 mg/L. Levels of significance (<span class="html-italic">p</span>-values) between the treatment groups and control cohort are unpaired; <span class="html-italic">p</span>-values between the two treatment groups are paired analyses. Abbreviations: Con: control, DTG: dolutegravir; EFV: efavirenz; NS: not significant; RANTES: regulated on activation, normal T-cell expressed and secreted; sCD40L: soluble cluster of differentiation 40 ligand.</p>
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14 pages, 912 KiB  
Article
Evaluation of Viral Suppression in Paediatric Populations: Implications for the Transition to Dolutegravir-Based Regimens in Cameroon: The CIPHER-ADOLA Study
by Joseph Fokam, Yagai Bouba, Rogers Awoh Ajeh, Dominik Tameza Guebiapsi, Suzane Essamba, Albert Franck Zeh Meka, Ebiama Lifanda, Rose Armelle Ada, Liman Yakouba, Nancy Barbara Mbengono, Audrey Raissa Dzaddi Djomo, Suzie Ndiang Tetang, Samuel Martin Sosso, Jocelyne Carmen Babodo, Olivia Francette Ndomo Ambomo, Edith Michele Temgoua, Caroline Medouane, Sabine Ndejo Atsinkou, Justin Leonel Mvogo, Roger Martin Onana, Jean de Dieu Anoubissi, Alice Ketchaji, Alex Durand Nka, Davy-Hyacinthe Anguechia Gouissi, Aude Christelle Ka’e, Nadine Nguendjoung Fainguem, Rachel Simo Kamgaing, Désiré Takou, Michel Carlos Tommo Tchouaket, Ezechiel Ngoufack Jagni Semengue, Marie Amougou Atsama, Julius Nwobegahay, Comfort Vuchas, Anna Nya Nsimen, Bertrand Eyoum Bille, Sandra kenmegne Gatchuessi, Francis Ndongo Ateba, Daniel Kesseng, Serge Clotaire Billong, Daniele Armenia, Maria Mercedes Santoro, Francesca Ceccherini-Silberstein, Paul Ndombo Koki, Hadja Cherif Hamsatou, Vittorio Colizzi, Alexis Ndjolo, Carlo-Federico Perno and Anne-Cecile Zoung-Kanyi Bissekadd Show full author list remove Hide full author list
Biomedicines 2024, 12(9), 2083; https://doi.org/10.3390/biomedicines12092083 - 12 Sep 2024
Viewed by 913
Abstract
Mortality in children accounts for 15% of all AIDS-related deaths globally, with a higher burden among Cameroonian children (25%), likely driven by poor virological response. We sought to evaluate viral suppression (VS) and its determinants in a nationally representative paediatric and young adult [...] Read more.
Mortality in children accounts for 15% of all AIDS-related deaths globally, with a higher burden among Cameroonian children (25%), likely driven by poor virological response. We sought to evaluate viral suppression (VS) and its determinants in a nationally representative paediatric and young adult population receiving antiretroviral therapy (ART). A cross-sectional and multicentric study was conducted among Cameroonian children (<10 years), adolescents (10–19 years) and young adults (20–24 years). Data were collected from the databases of nine reference laboratories from December 2023 to March 2024. A conditional backward stepwise regression model was built to assess the predictors of VS, defined as a viral load (VL) <1000 HIV-RNA copies/mL. Overall, 7558 individuals (females: 73.2%) were analysed. Regarding the ART regimen, 17% of children, 80% of adolescents and 83% of young adults transitioned to dolutegravir (DTG)-based regimens. Overall VS was 82.3%, with 67.3% (<10 years), 80.5% (10–19 years) and 86.5% (20–24 years), and p < 0.001. VS was 85.1% on a DTG-based regimen versus 80.0% on efavirenz/nevirapine and 65.6% on lopinavir/ritonavir or atazanavir/ritonavir. VS was higher in females versus males (85.8% versus 78.2%, p < 0.001). The VS rate remained stable around 85% at 12 and 24 months but dropped to about 80% at 36 months after ART initiation, p < 0.009. Independent predictors of non-VS were younger age, longer ART duration (>36 months), backbone drug (non-TDF/3TC) and anchor drug (non-DTG based). In this Cameroonian paediatric population with varying levels of transition to DTG, overall VS remains below the 95% targets. Predictors of non-VS are younger age, non-TDF/3TC- and non-DTG-based regimens. Thus, efforts toward eliminating paediatric AIDS should prioritise the transition to a DTG-based regimen in this new ART era. Full article
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<p>Viral suppression according to age categories. Comparisons were made using chi-square tests. Viral suppression was defined as an HIV-RNA measurement &lt;1000 copies/mL.</p>
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<p>Viral load measurement levels stratified according to age. Viral load measurement is presented in copies/mL. A viral load level &lt;400 copies/mL includes those that are undetectable. <span class="html-italic">p</span>-Values were computed using chi-square for trend tests.</p>
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26 pages, 1294 KiB  
Article
PBPK Modeling of Lamotrigine and Efavirenz during Pregnancy: Implications for Personalized Dosing and Drug-Drug Interaction Management
by Bárbara Costa, Maria João Gouveia and Nuno Vale
Pharmaceutics 2024, 16(9), 1163; https://doi.org/10.3390/pharmaceutics16091163 - 3 Sep 2024
Viewed by 1258
Abstract
This study aimed to model the pharmacokinetics of lamotrigine (LTG) and efavirenz (EFV) in pregnant women using physiologically based pharmacokinetic (PBPK) and pregnancy-specific PBPK (p-PBPK) models. For lamotrigine, the adult PBPK model demonstrated accurate predictions for pharmacokinetic parameters. Predictions for the area under [...] Read more.
This study aimed to model the pharmacokinetics of lamotrigine (LTG) and efavirenz (EFV) in pregnant women using physiologically based pharmacokinetic (PBPK) and pregnancy-specific PBPK (p-PBPK) models. For lamotrigine, the adult PBPK model demonstrated accurate predictions for pharmacokinetic parameters. Predictions for the area under the curve (AUC) and peak plasma concentration (Cmax) generally agreed well with observed values. During pregnancy, the PBPK model accurately predicted AUC and Cmax with a prediction error (%PE) of less than 25%. The evaluation of the EFV PBPK model revealed mixed results. While the model accurately predicted certain parameters for non-pregnant adults, significant discrepancies were observed in predictions for higher doses (600 vs. 400 mg) and pregnant individuals. The model’s performance during pregnancy was poor, indicating the need for further refinement to account for genetic polymorphism. Gender differences also influenced EFV pharmacokinetics, with lower exposure levels in females compared to males. These findings highlight the complexity of modeling EFV, in general, but specifically in pregnant populations, and the importance of validating such models for accurate clinical application. The study highlights the importance of tailoring dosing regimens for pregnant individuals to ensure both safety and efficacy, particularly when using combination therapies with UGT substrate drugs. Although drug-drug interactions between LTG and EFV appear minimal, further research is needed to improve predictive models and enhance their accuracy. Full article
(This article belongs to the Special Issue Development of Physiologically Based Pharmacokinetic (PBPK) Modeling)
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<p>Schematic Overview of the Research Objective: The study aims to model the physiological pharmacokinetics of LTG and EFV in both pregnant and non-pregnant individuals. It seeks to determine the potential for drug-drug interaction (DDI) between these two drugs, focusing on UGT-mediated metabolism. Both LTG and EFV are metabolized by UGT1A4, making this pathway a potential interaction across different physiological states.</p>
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<p>24-h plasma concentration profiles of 200 mg LTG in healthy female individuals (blue) and for different gestational weeks: 10 (red), 20 (green), 30 (purple), and 40 (orange).</p>
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<p>Plasmatic concentration profiles of Efavirenz for different doses (600 mg and 400 mg) in different genders (male and female).</p>
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<p>24-h plasma concentration profiles of 600 mg EFV in healthy female individuals (blue) and for different gestational weeks: 10 (red), 20 (green), 30 (purple), and 40 (orange).</p>
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14 pages, 1836 KiB  
Article
A Physiologically-Based Pharmacokinetic Simulation to Evaluate Approaches to Mitigate Efavirenz-Induced Decrease in Levonorgestrel Exposure with a Contraceptive Implant
by Lilian W. Adeojo, Rena C. Patel and Nancy C. Sambol
Pharmaceutics 2024, 16(8), 1050; https://doi.org/10.3390/pharmaceutics16081050 - 7 Aug 2024
Viewed by 1039
Abstract
Background: Levonorgestrel implant is a highly effective hormonal contraceptive, but its efficacy may be compromised when used with cytochrome enzyme inducers such as efavirenz. The primary aim of this study was to evaluate methods of mitigating the drug interaction. Methods: Using a physiologically-based [...] Read more.
Background: Levonorgestrel implant is a highly effective hormonal contraceptive, but its efficacy may be compromised when used with cytochrome enzyme inducers such as efavirenz. The primary aim of this study was to evaluate methods of mitigating the drug interaction. Methods: Using a physiologically-based pharmacokinetic (PBPK) model for levonorgestrel that we developed within the Simcyp® program, we evaluated a higher dose of levonorgestrel implant, a lower dose of efavirenz, and the combination of both, as possible methods to mitigate the interaction. In addition, we investigated the impact on levonorgestrel total and unbound concentrations of other events likely to be associated with efavirenz coadministration: changes in plasma protein binding of levonorgestrel (as with displacement) and high variability of efavirenz exposure (as with genetic polymorphism of its metabolism). The range of fraction unbound tested was 0.6% to 2.6%, and the range of efavirenz exposure ranged from the equivalent of 200 mg to 4800 mg doses. Results: Levonorgestrel plasma concentrations at any given time with a standard 150 mg implant dose are predicted to be approximately 68% of those of control when given with efavirenz 600 mg and 72% of control with efavirenz 400 mg. With double-dose levonorgestrel, the predictions are 136% and 145% of control, respectively. A decrease in levonorgestrel plasma protein binding is predicted to primarily decrease total levonorgestrel plasma concentrations, whereas higher efavirenz exposure is predicted to decrease total and unbound concentrations. Conclusions: Simulations suggest that doubling the dose of levonorgestrel, particularly in combination with 400 mg daily efavirenz, may mitigate the drug interaction. Changes in levonorgestrel plasma protein binding and efavirenz genetic polymorphism may help explain differences between model predictions and clinical data but need to be studied further. Full article
(This article belongs to the Special Issue Model-Informed Drug Discovery and Development, 2nd Edition)
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<p>Population (<b>left plot</b>) and study-specific (<b>right plot</b>) predicted levonorgestrel plasma concentration, based on a MEM, versus observed mean concentration from one two-oral dose study without efavirenz (□) and with efavirenz (■) [<a href="#B40-pharmaceutics-16-01050" class="html-bibr">40</a>], two single-oral dose studies without efavirenz (+ and ×) [<a href="#B38-pharmaceutics-16-01050" class="html-bibr">38</a>,<a href="#B39-pharmaceutics-16-01050" class="html-bibr">39</a>], one single-IV dose study without efavirenz (∆) [<a href="#B38-pharmaceutics-16-01050" class="html-bibr">38</a>], and one implant study without efavirenz (○) and with efavirenz (●) [<a href="#B14-pharmaceutics-16-01050" class="html-bibr">14</a>]. ‘Population’ predictions (<b>left plot</b>) use point estimates of parameters for the model, whereas ‘Study-specific’ predictions (<b>right plot</b>) consider inter-study variability (i.e., use post hoc parameters). The inset plots enlarge the lower left quadrant for ease of viewing.</p>
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<p>Simulated median plasma concentrations 1 month to 5 years after levonorgestrel (LNG) implant placement administered alone or with daily oral efavirenz (EFV) and superimposed mean published data for 150 mg LNG alone or with 600 mg EFV [<a href="#B14-pharmaceutics-16-01050" class="html-bibr">14</a>,<a href="#B42-pharmaceutics-16-01050" class="html-bibr">42</a>].</p>
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<p>Simulated median total (<b>left</b>) and unbound (<b>right</b>) one-year levonorgestrel (LNG) plasma concentration as a function of percent unbound to plasma proteins (<span class="html-italic">x</span>-axis), implant dose (150 mg or 300 mg) and presence of efavirenz (EFV) 600 mg. Reference concentrations are those associated with the typical percent unbound (1.3%) for LNG 150 mg in the absence of EFV.</p>
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<p>Simulated median total (left-axis) and unbound (right-axis) levonorgestrel (LNG) plasma concentration at one-year post-implant placement as a function of LNG dose and efavirenz (EFV) exposure. ‘Fold increase’ refers to varying magnitudes of EFV exposure (average plasma concentrations) associated with 600 mg for putative differing genetic subgroups relative to the general (Reference) population.</p>
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17 pages, 2374 KiB  
Article
Metabolic, Mitochondrial, and Inflammatory Effects of Efavirenz, Emtricitabine, and Tenofovir Disoproxil Fumarate in Asymptomatic Antiretroviral-Naïve People with HIV
by Sergio Barroso, Mariona Guitart-Mampel, Francesc Josep García-García, Judith Cantó-Santos, Laura Valls-Roca, Félix Andújar-Sánchez, Adrià Vilaseca-Capel, Ester Tobías, Angela Arias-Dimas, Tania Quesada-López, Rafael Artuch, Francesc Villarroya, Marta Giralt, Esteban Martínez, Ester Lozano and Glòria Garrabou
Int. J. Mol. Sci. 2024, 25(15), 8418; https://doi.org/10.3390/ijms25158418 - 1 Aug 2024
Viewed by 5775
Abstract
This study aimed to comprehensively assess the metabolic, mitochondrial, and inflammatory effects of first-line efavirenz, emtricitabine, and tenofovir disoproxil fumarate (EFV/FTC/TDF) single-tablet regimen (STR) relative to untreated asymptomatic HIV infection. To this end, we analyzed 29 people with HIV (PWH) treated for at [...] Read more.
This study aimed to comprehensively assess the metabolic, mitochondrial, and inflammatory effects of first-line efavirenz, emtricitabine, and tenofovir disoproxil fumarate (EFV/FTC/TDF) single-tablet regimen (STR) relative to untreated asymptomatic HIV infection. To this end, we analyzed 29 people with HIV (PWH) treated for at least one year with this regimen vs. 33 antiretroviral-naïve PWH. Excellent therapeutic activity was accompanied by significant alterations in metabolic parameters. The treatment group showed increased plasmatic levels of glucose, total cholesterol and its fractions (LDL and HDL), triglycerides, and hepatic enzymes (GGT, ALP); conversely, bilirubin levels (total and indirect fraction) decreased in the treated cohort. Mitochondrial performance was preserved overall and treatment administration even promoted the recovery of mitochondrial DNA (mtDNA) content depleted by the virus, although this was not accompanied by the recovery in some of their encoded proteins (since cytochrome c oxidase II was significantly decreased). Inflammatory profile (TNFα, IL-6), ameliorated after treatment in accordance with viral reduction and the recovery of TNFα levels correlated to mtDNA cell restoration. Thus, although this regimen causes subclinical metabolic alterations, its antiviral and anti-inflammatory properties may be associated with partial improvement in mitochondrial function. Full article
(This article belongs to the Section Molecular Immunology)
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<p>Metabolic parameters in Naïve HIV patients (n = 33) compared to patients treated with cART (combined antiretroviral therapy) based on TDF/FTC/EFV for more than one year (n = 29). (<b>A</b>) Plasma glucose values; (<b>B</b>) Total Cholesterol values; (<b>C</b>) LDL: LDL-Cholesterol values; (<b>D</b>) HDL: HDL-Cholesterol values; (<b>E</b>) TG: Triglycerides levels; (<b>F</b>) Total bilirubin levels; (<b>G</b>) Indirect bilirubin levels; (<b>H</b>) GGT: Gamma-glutamyl transferase values; (<b>I</b>) ALP: Alkaline phosphatase values; (<b>J</b>) LDH: Lactate Dehydrogenase values. Box and whiskers plots showing median, minimum, and maximum values. # <span class="html-italic">p</span>-value = (0.05–0.1), * <span class="html-italic">p</span>-value &lt; 0.05, ** <span class="html-italic">p</span>-value &lt; 0.01, *** <span class="html-italic">p</span>-value &lt; 0.001.</p>
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<p>Mitochondrial parameters in Naïve HIV patients (n = 33) compared to patients treated with cART (combined antiretroviral therapy) based on TDF/FTC/EFV for more than one year (n = 29). (<b>A</b>) PBMC-mtDNA: Peripheral blood mononuclear cells mitochondrial DNA; (<b>B</b>) Plasma-mtDNA: Plasma mitochondrial DNA levels; (<b>C</b>) CoQ: Coenzyme Q values; (<b>D</b>); VDAC: Voltage-Dependent Anion-selective Channel vs. β-actin ratio; (<b>E</b>) COX-II: Cytochrome c oxidase subunit II vs. β-actin ratio; (<b>F</b>) COX IV: Cytochrome c oxidase subunit IV vs. β-actin ratio; (<b>G</b>) COX-II/COX-IV ratio; (<b>H</b>) COX-II/VDAC ratio; (<b>I</b>) COX-IV/VDAC ratio. Box and whiskers plots showing median, minimum, and maximum values. # <span class="html-italic">p</span>-value = (0.05–0.1), * <span class="html-italic">p</span>-value &lt; 0.05, ** <span class="html-italic">p</span>-value &lt; 0.01. (<b>J</b>) Representative Western Blot bands for proteins quantification in PBMC from two Naïve HIV patients compared to two patients treated with TDF/EFV/EFV STR for more than one year: β-actin (47 kDa), VDAC (31 kDa), COX-II (25.6 kDa) and COX-VI (15 kDa).</p>
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<p>Inflammatory and soluble mediators in Naïve HIV patients (n = 15) compared to patients treated with cART (combined antiretroviral therapy) based on TDF/FTC/EFV for more than one year (n = 10). (<b>A</b>) TNFα: Tumor Necrosis Factor α levels. (<b>B</b>) IL6: Interleukin 6 values; (<b>C</b>) IL8: Interleukin 8 values; (<b>D</b>) MCP-1: Monocyte Chemoattractant protein 1 levels; (<b>E</b>) NGF: Nerve Growth Factor values; (<b>F</b>) Leptin: Serum Leptin levels; (<b>G</b>) HGF: Hepatocyte Growth Factor levels; (<b>H</b>) FGF21: Fibroblast Growth Factor 21 levels. Box and whiskers plots showing median, minimum, and maximum values. # <span class="html-italic">p</span>-value = (0.05–0.1) * <span class="html-italic">p</span>-value &lt; 0.05.</p>
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<p>Significant correlations between virologic and metabolic parameters with mitochondrial biomarkers in both cohorts. Linear regression line (solid line) and 95% confidence band of the best-fit line (dotted line) are shown. (<b>A</b>) Correlation between mitochondrial DNA content in PBMCs (PBMC-mtDNA) vs. patient viral load; (<b>B</b>) Correlation between PBMC-mtDNA vs. total cholesterol values; (<b>C</b>) Correlation between PBMC-mtDNA vs. LDL values; (<b>D</b>) Correlation between PBMC-mtDNA vs. alkaline phosphatase (ALP) values; (<b>E</b>) Correlation between PBMC-mtDNA vs. Creatine Kinase values. * <span class="html-italic">p</span>-value &lt; 0.05, ** <span class="html-italic">p</span>-value &lt; 0.01.</p>
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<p>Significant correlations between virologic and mitochondrial parameters with inflammatory biomarkers in both cohorts. Linear regression line (solid line) and 95% confidence band of the best-fit line (dotted line) are shown. (<b>A</b>) Correlation between TNFα vs. viral load; (<b>B</b>) Correlation between Tumor Necrosis Factor α (TNFα) vs. IL-8 values; (<b>C</b>) Correlation between TNFα vs. Monocyte Chemoattractant protein 1 (MCP-1) values; (<b>D</b>) Correlation between TNFα vs. mitochondrial DNA in PBMCs; (<b>E</b>) Correlation between IL-6 vs. mitochondrial DNA in plasma. * <span class="html-italic">p</span>-value &lt; 0.05, ** <span class="html-italic">p</span>-value &lt; 0.01, *** <span class="html-italic">p</span>-value &lt; 0.0001.</p>
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12 pages, 1252 KiB  
Article
Oral Administration of Efavirenz Dysregulates the Tph2 Gene in Brain Serotonergic Areas and Alters Weight and Mood in Mice
by Sandra Angélica Rojas-Osornio, Minerva Crespo-Ramírez, Vladimir Paredes-Cervantes, Antonio Mata-Marín, Ricardo Martínez-Lara, Miguel Pérez de la Mora and Emiliano Tesoro-Cruz
Pharmaceuticals 2024, 17(6), 801; https://doi.org/10.3390/ph17060801 - 18 Jun 2024
Viewed by 1216
Abstract
Most HIV-antiretroviral drugs have adverse effects. Efavirenz (EFV) is an example of a drug with neuropsychiatric effects, such as anxiety, depression, and suicidal thoughts, in people living with HIV (PLWH). The mechanisms by which EFV causes neuropsychiatric alterations in PLWH are complex, multifactorial, [...] Read more.
Most HIV-antiretroviral drugs have adverse effects. Efavirenz (EFV) is an example of a drug with neuropsychiatric effects, such as anxiety, depression, and suicidal thoughts, in people living with HIV (PLWH). The mechanisms by which EFV causes neuropsychiatric alterations in PLWH are complex, multifactorial, and not fully understood, although several studies in animals have reported changes in brain energy metabolism, alterations in monoamine turnover, GABA, and glutamate levels, and changes in 5-HT receptors. In this report, we studied the effects of EFV on the serotonergic system in healthy mice, specifically, whether EFV results in alterations in the levels of the tryptophan hydroxylase 2 (Tph2) gene in the brain. EFV (10 mg/kg) and distilled water (1.5 µL/kg) (control group) were orally administered to the mice for 36 days. At the end of the treatment, Tph2 expression levels in mouse brains were measured, and mood was evaluated by three trials: the forced swim test, elevated plus maze, and open field test. Our results revealed dysregulation of Tph2 expression in the brainstem, amygdala, and hypothalamus in the EFV group, and 5-HT levels increased in the amygdala in the EFV group. In the behavioral tests, mice given EFV exhibited a passive avoidance response in the forced swim test and anxiety-like behavior in the elevated plus maze, and they lost weight. Herein, for the first time, we showed that EFV triggered dysregulation of the Tph2 gene in the three serotonergic areas studied; and 5-HT levels increased in the amygdala using the ELISA method. However, further studies will be necessary to clarify the increase of 5-HT in the amygdala as well as understand the paradoxical decrease in body weight with the simultaneous increase in food consumption. It will also be necessary to measure 5-HT by other techniques different from ELISA, such as HPLC. Full article
(This article belongs to the Special Issue Recent Advances in the Pharmacology of Serotonin and Its Receptors)
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<p>Effects of EFV on Tph2 expression (<b>A</b>) and 5-HT levels (<b>B</b>) in the brainstem, amygdala, and hypothalamus in mice. Diminished Tph2 mRNA expression following EFV administration compared to that in the control group is shown (<b>A</b>). Each dot represents three pooled samples of tissues from three different animals. In contrast, 5-HT levels were increased after EFV administration only within the amygdala (<b>B</b>). Each dot represents two pooled samples of tissues from three different animals. Unpaired <span class="html-italic">t</span> test with Welch’s correction. * <span class="html-italic">p</span> &lt; 0.05; *** <span class="html-italic">p</span> &lt; 0.001; **** <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>Behavioral tests. Three behavioral paradigms were used in this study to assess depression-like behavior (force swim test) or anxiety (open field test and elevated plus-maze test) in mice following 36 days of oral EFV administration (10 mg/kg). (<b>A</b>) A significant increase in immobility time was observed in the EFV group compared to the control group. Unpaired <span class="html-italic">t</span> test with Welch’s correction (F<sub>3,3</sub> = 6.409; <span class="html-italic">p</span> &lt; 0.05). (<b>B</b>) In the open field test, no difference was detected between the EFV group and the control group (Welch’s <span class="html-italic">t</span> test; F<sub>4,5</sub> = 2.950; <span class="html-italic">p</span> &gt; 0.05). (<b>C</b>) In the elevated plus maze test, a significantly lower percentage of time spent in close arms and in the center was observed in mice treated with EFV, and the percentage of entries increased (Welch’s <span class="html-italic">t</span> test; <span class="html-italic">p</span> &lt; 0.01). The percentage of time spent on the EPM test was calculated as the time spent on the arms in seconds divided by the total duration spent on the EPM test, which was 300 s × 100%. Each dot represents an animal. The values are the means ± SEMs. Welch’s <span class="html-italic">t</span> test. * <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01.</p>
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<p>Effects of EFV on body weight (<b>A</b>) and food consumption (<b>B</b>). Twenty-four mice per group were fed and housed in groups of six with water available ad libitum in each home cage (<span class="html-italic">n</span> = 48, 8 cages). Every day, the mice received EFV (10 mg/kg) via the oral route or distilled water (1.5 µL/kg) via the oral route to determine whether EFV alters body weight or feeding. The body weight of each mouse and the food consumption of each cage were measured daily. This experiment continued until 36 days after EFV administration. A significant decrease in body weight was observed in the EFV group, beginning with respect to the final weight (F<sub>35,74</sub> = 4.828; <span class="html-italic">p</span> &lt; 0.0001). With respect to food intake, an increase in consumption was observed in the EFV group compared with the control group (F<sub>21, 21</sub> = 6.498; <span class="html-italic">p</span> &lt; 0.0001). The distribution of the values of the studied parameters was tested for normality using the Shapiro–Wilk test. Body weight was analyzed with two-way repeated-measures ANOVA followed by the Tukey post hoc test. Food intake was analyzed by an unpaired <span class="html-italic">t</span> test. The values are the means ± SEMs. **** <span class="html-italic">p</span> &lt; 0.0001.</p>
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15 pages, 1337 KiB  
Article
Exploring the Impact of Efavirenz on Aflatoxin B1 Metabolism: Insights from a Physiologically Based Pharmacokinetic Model and a Human Liver Microsome Study
by Orphélie Lootens, Marthe De Boevre, Elke Gasthuys, Sarah De Saeger, Jan Van Bocxlaer and An Vermeulen
Toxins 2024, 16(6), 259; https://doi.org/10.3390/toxins16060259 - 4 Jun 2024
Viewed by 1500
Abstract
Physiologically based pharmacokinetic (PBPK) models were utilized to investigate potential interactions between aflatoxin B1 (AFB1) and efavirenz (EFV), a non-nucleoside reverse transcriptase inhibitor drug and inducer of several CYP enzymes, including CYP3A4. PBPK simulations were conducted in a North European Caucasian and Black [...] Read more.
Physiologically based pharmacokinetic (PBPK) models were utilized to investigate potential interactions between aflatoxin B1 (AFB1) and efavirenz (EFV), a non-nucleoside reverse transcriptase inhibitor drug and inducer of several CYP enzymes, including CYP3A4. PBPK simulations were conducted in a North European Caucasian and Black South African population, considering different dosing scenarios. The simulations predicted the impact of EFV on AFB1 metabolism via CYP3A4 and CYP1A2. In vitro experiments using human liver microsomes (HLM) were performed to verify the PBPK predictions for both single- and multiple-dose exposures to EFV. Results showed no significant difference in the formation of AFB1 metabolites when combined with EFV (0.15 µM) compared to AFB1 alone. However, exposure to 5 µM of EFV, mimicking chronic exposure, resulted in increased CYP3A4 activity, affecting metabolite formation. While co-incubation with EFV reduced the formation of certain AFB1 metabolites, other outcomes varied and could not be fully attributed to CYP3A4 induction. Overall, this study provides evidence that EFV, and potentially other CYP1A2/CYP3A4 perpetrators, can impact AFB1 metabolism, leading to altered exposure to toxic metabolites. The results emphasize the importance of considering drug interactions when assessing the risks associated with mycotoxin exposure in individuals undergoing HIV therapy in a European and African context. Full article
(This article belongs to the Special Issue Toxins: 15th Anniversary)
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<p>Human metabolic pathways of aflatoxin B1 (AFB1). Aflatoxin M1 (AFM1) is formed by CYP1A2, aflatoxin P1 (AFP1) by CYP2A13, CYP2A3, and CYP321A1. Aflatoxin-8,9-endo/exo-epoxides (AFBO) are formed by both CYP1A2 and CYP3A4. More downstream metabolites of AFBO are depicted without a frame (aflatoxin B-N<sup>7</sup>-guanine (AFB-N<sup>7</sup>-gua), aflatoxin B-formamidopyridine (AFB-FAPyr), aflatoxin B-diol (AFB-diol), aflatoxin B-dialdehyde (AFB-dialdehyde), aflatoxin B-S-glutathion (AFB-GSH), aflatoxin B-mercapturic acid (AFB-NAC), aflatoxin B1-lysine (AFB-lysine), aflatoxin B-monoalcohols (AFB-monoalcohols), and aflatoxin B dialcohol (AFB-dialcohol)). Aflatoxin B2a (AFB2a) is formed by the involvement of CYP450 enzymes, not further specified. Aflatoxin Q1 (AFQ1) is formed by CYP3A4 and CYP3A5. Aflatoxicol (AFL) is produced by nicotinamide-adenine-dinucleotide phosphate reductase (NADPH reductase). Both AFL and AFQ1 can form aflatoxicol H1 (AFH1). Efavirenz (EFV), a non-nucleoside reverse transcriptase inhibitor drug and CYP3A4 inducer, is also presented, indicating its inducing effect on CYP3A4, expected to increase the formation of both AFQ1 and AFBO (green frames) [<a href="#B5-toxins-16-00259" class="html-bibr">5</a>]. The toxic metabolites of AFB1 are presented in thick grey frames (AFM1 and AFBO).</p>
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<p>Graphical representation of the varying fractions of aflatoxin B1 (AFB1) metabolized by hepatic CYP1A2 (indicated by horizontal lines) and CYP3A4 enzymes (indicated by diagonal lines), along with renal elimination (depicted in grey), after multiple dosing. The Black South African population is denoted as BSA, while the North European Caucasian population is denoted as NEC in the <span class="html-italic">x</span>-axis. The absence of efavirenz (EFV) is indicated as ‘no EFV’, while its presence is indicated as ‘EFV’.</p>
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<p>Overview of the different dosing schemes used in physiologically based pharmacokinetic (PBPK) modelling in a Black South African (BSA) population and a North European Caucasian (NEC) population exposed to four different scenarios being (<b>i</b>) a single dose of 30 ng aflatoxin B1 (AFB1) alone or co-administration of a single dose of 30 ng AFB1 and 600 mg efavirenz (EFV); (<b>ii</b>) 30-day dosing of 30 ng AFB1 alone or co-administration of 30 ng AFB1 and 600 mg EFV during 30 days; (<b>iii</b>) no EFV and a single dose of 30 ng AFB1 alone on day 30 or daily administration of 600 mg of EFV for 30 days and a single dose of 30 ng AFB1 on day 30; and (<b>iv</b>) 30-day dosing of 30 ng AFB1 alone or co-administration of 30 ng AFB1 and 600 mg of EFV, 300 mg of lamivudine (LAM) and 300 mg of tenofovir (TFV) on a daily basis over 30 consecutive days. The number of subjects in the simulated population is shown with #; y/o is an abbreviation for years old.</p>
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19 pages, 2925 KiB  
Article
Synthesis of a Multi-Template Molecular Imprinted Bulk Polymer for the Adsorption of Non-Steroidal Inflammatory and Antiretroviral Drugs
by Sisonke Sigonya, Teboho Clement Mokhena, Paul Micheal Mayer, Phumlane Selby Mdluli, Talent Raymond Makhanya and Thabang Hendrica Mokhothu
Appl. Sci. 2024, 14(8), 3320; https://doi.org/10.3390/app14083320 - 15 Apr 2024
Cited by 3 | Viewed by 2922
Abstract
In this paper, we report the synthesis of a multi-template molecularly imprinted polymer (MIP) to target and extract naproxen, ibuprofen, diclofenac, emtricitabine, tenofovir disoproxil, and efavirenz from wastewater bodies. A bulk polymerization procedure was used to synthesize the MIP and non-imprinted polymer (NIP). [...] Read more.
In this paper, we report the synthesis of a multi-template molecularly imprinted polymer (MIP) to target and extract naproxen, ibuprofen, diclofenac, emtricitabine, tenofovir disoproxil, and efavirenz from wastewater bodies. A bulk polymerization procedure was used to synthesize the MIP and non-imprinted polymer (NIP). The specific recognition sites for each target were obtained through the removal of the imprinted targeted compounds. The interaction of antiretroviral drugs (ARVs) and non-steroidal anti-inflammatory drugs (NSAIDs) compounds with the MIP was studied under various conditions such as pH, mass, concentration, and time factors. The results demonstrated the optimum conditions were 55 mg of MIP, pH 7.0, a concentration of 5 mg L−1, and a contact time of 10 min. For every compound studied, the extraction efficiencies for ARVs and NSAIDs in aqueous solutions was >96%. The adsorption capacity for the MIP was >0.91 mg·g−1. Adsorption obeys a second-order rate, and the Freundlich model explains the adsorption isotherm data. This study demonstrated that the synthesized multi-template MIP has huge potential to be employed for the removal of ARVs and NSAIDs from the environment as well as in drug purification or recovery processes. Full article
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<p>The molecular structures of the respective templates, where NAP = naproxen, IBU = ibuprofen, DICLO = diclofenac, EMI = emtricitabine, EFV = efavirenz, and TENO = tenofovir Disoproxil.</p>
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<p>Proposed mechanism of template and functional monomer interaction.</p>
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<p>Solid-state 13C CP/MAS NMR spectra for (<b>a</b>) the MIP and (<b>b</b>) the NIP. * Denotes solvent peaks.</p>
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<p>FTIR spectrum of the MIP, NIP, and the functional monomer 2-vinylpyridine (2-VP).</p>
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<p>SEM surface morphologies: (<b>a</b>) NIP SEM image, with an expanded view in (<b>c</b>) MIP SEM with an expanded view in (<b>b</b>,<b>d</b>).</p>
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<p>Thermal decomposition of (<b>a</b>) MIP and (<b>b</b>) NIP by TGA.</p>
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<p>pH effects on the adsorption of ARVs and NSAIDs.</p>
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<p>Swelling capacity of polymer as a function of time.</p>
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17 pages, 1275 KiB  
Review
Pharmaceutical Contaminants in Wastewater and Receiving Water Bodies of South Africa: A Review of Sources, Pathways, Occurrence, Effects, and Geographical Distribution
by Elisa Pandelani Munzhelele, Rabelani Mudzielwana, Wasiu Babatunde Ayinde and Wilson Mugera Gitari
Water 2024, 16(6), 796; https://doi.org/10.3390/w16060796 - 7 Mar 2024
Cited by 5 | Viewed by 5739
Abstract
The focus of this review article was to outline the sources, pathways, effects, occurrence, and spatial distribution of the most prescribed pharmaceuticals in wastewater and receiving waters of South Africa. Google Scholar, Web of Science, and Scopus were used to gather data from [...] Read more.
The focus of this review article was to outline the sources, pathways, effects, occurrence, and spatial distribution of the most prescribed pharmaceuticals in wastewater and receiving waters of South Africa. Google Scholar, Web of Science, and Scopus were used to gather data from different regions. A zone-wise classification method was used to determine the spatial distribution and data deficiencies in different regions of South Africa. This review revealed that over 100 pharmaceutical compounds have been reported in South Africa’s various water sources and wastewater, with most studies and highest concentrations being documented in Gauteng and Kwa-Zulu Natal. The pharmaceutical concentration in water samples ranged from ng/L to µg/L. Aspirin, ketoprofen, diclofenac, ibuprofen, naproxen, erythromycin, tetracycline, sulfamethoxazole, acetaminophen, streptomycin, ciprofloxacin, ampicillin, carbamazepine, atenolol, pindolol, efavirenz, and zidovudine residues were among the frequently detected pharmaceutical residues in water bodies and wastewaters of South Africa. Based on the spatial distribution data, Gauteng has the highest number of pharmaceuticals (108) detected in waste and surface water, with the Northern Cape having no monitoring evidence. Therefore, to precisely ascertain the geographical distribution of pharmaceutical contaminants in South Africa, this review recommends that further research be carried out to track their occurrence in aquatic environments and WWTP, especially in isolated regions like Limpopo. Full article
(This article belongs to the Section Wastewater Treatment and Reuse)
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<p>A diagram showing sources and pathways of pharmaceutical contaminants in water sources [<a href="#B10-water-16-00796" class="html-bibr">10</a>].</p>
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<p>A number of different pharmaceutical contaminants identified in water bodies (<b>a</b>) and publications (<b>b</b>) in South Africa.</p>
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15 pages, 2916 KiB  
Article
7,8-Dihydroxy Efavirenz Is Not as Effective in CYP46A1 Activation In Vivo as Efavirenz or Its 8,14-Dihydroxy Metabolite
by Natalia Mast, Yong Li and Irina A. Pikuleva
Int. J. Mol. Sci. 2024, 25(4), 2242; https://doi.org/10.3390/ijms25042242 - 13 Feb 2024
Viewed by 1309
Abstract
High dose (S)-efavirenz (EFV) inhibits the HIV reverse transcriptase enzyme and is used to lower HIV load. Low-dose EFV allosterically activates CYP46A1, the key enzyme for cholesterol elimination from the brain, and is investigated as a potential treatment for Alzheimer’s disease. Simultaneously, [...] Read more.
High dose (S)-efavirenz (EFV) inhibits the HIV reverse transcriptase enzyme and is used to lower HIV load. Low-dose EFV allosterically activates CYP46A1, the key enzyme for cholesterol elimination from the brain, and is investigated as a potential treatment for Alzheimer’s disease. Simultaneously, we evaluate EFV dihydroxymetabolites for in vivo brain effects to compare with those of (S)-EFV. We have already tested (rac)-8,14dihydroxy EFV on 5XFAD mice, a model of Alzheimer’s disease. Herein, we treated 5XFAD mice with (rac)-7,8dihydroxy EFV. In both sexes, the treatment modestly activated CYP46A1 in the brain and increased brain content of acetyl-CoA and acetylcholine. Male mice also showed a decrease in the brain levels of insoluble amyloid β40 peptides. However, the treatment had no effect on animal performance in different memory tasks. Thus, the overall brain effects of (rac)-7,8dihydroxy EFV were weaker than those of EFV and (rac)-8,14dihydroxy EFV and did not lead to cognitive improvements as were seen in treatments with EFV and (rac)-8,14dihydroxy EFV. An in vitro study assessing CYP46A1 activation in co-incubations with EFV and (rac)-7,8dihydroxy EFV or (rac)-8,14dihydroxy EFV was carried out and provided insight into the compound doses and ratios that could be used for in vivo co-treatments with EFV and its dihydroxymetabolite. Full article
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<p>7,8-DihydroxyEFV effect on performance of 5XFAD mice in (<b>A</b>), Barnes maze; (<b>B</b>), Y-maze; and (<b>C</b>), fear conditioning. Data represent the mean ± SEM of the individual measurements (22 control female mice, 12 control male mice, 27 treated female mice, and 13 treated male mice). Two-way repeated measures ANOVA with Bonferroni correction was used to determine if there were sex-based differences within each group. If no sex-based differences were found, then data for female and male mice within each group were combined, and a two-tailed unpaired Student’s <span class="html-italic">t</span>-test was used to assess statistical significance. ***, <span class="html-italic">p</span> ≤ 0.001. Trng, training.</p>
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<p>7,8-DihydroxyEFV effect on the Aβ content in the brain of 5XFAD mice. Data represent the mean ± SD of the individual measurements (12 female and 12 male animals per group). *, <span class="html-italic">p</span> ≤ 0.05; ***, <span class="html-italic">p</span> ≤ 0.001 as assessed by two-way ANOVA with Tukey’s multiple comparison test.</p>
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<p>7,8-DihydroxyEFV effect on sterol content and CYP46A1 expression in the brain of 5XFAD mice. (<b>A</b>) Sterol quantifications. Data represent the mean ± SD of the individual measurements (9 female and 9 male 5XFAD mice per group). Two-way repeated measures ANOVA with Bonferroni correction was used to determine if there were sex-based differences within each group. If no sex-based differences were found, then data for female and male mice within each group were combined, and a two-tailed unpaired Student’s <span class="html-italic">t</span>-test was used to assess statistical significance. Otherwise, data for female and male mice were presented separately. **, <span class="html-italic">p</span> ≤ 0.01; ***, <span class="html-italic">p</span> ≤ 0.001. (<b>B</b>) Representative Western blots (left panels) evaluating CYP46A1 expression in brain homogenates. Each lane, except that with purified recombinant CYP46A1 (used as a positive control), is a sample from an individual animal (five female and five male mice per group); the brain homogenate from a <span class="html-italic">Cyp46a1<sup>-/-</sup></span> mouse was used as a negative control. All Western blots were repeated at least three times. Protein expression quantification (right panels). Within a group, the protein expression in each sample was first normalized to the β-actin expression, and the mean value was calculated. This mean value was then normalized to the mean value of the protein expression in control 5XFAD mice (taken as one), and the data were presented as the mean ± SD. No statistically significant difference was found between control and treated groups of both sexes as assessed using a two-tailed, unpaired Student’s test.</p>
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<p>7,8-DihydroxyEFV effect on the acetyl-CoA levels in the brain of 5XFAD mice. Data represent the mean ± SD of the individual measurements (five female and five male mice per group). Two-way repeated measures ANOVA with Bonferroni correction was used to determine if there were sex-based differences within each group. If no sex-based differences were found, then data for female and male mice within each group were combined, and a two-tailed unpaired Student’s <span class="html-italic">t</span>-test was used to assess statistical significance. Otherwise, data for female and male mice were presented separately. ***, <span class="html-italic">p</span> ≤ 0.001.</p>
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<p>7,8-DihydroxyEFV effect on the Ach levels in the brain of 5XFAD mice. Data represent the mean ± SD of the individual measurements (five female and five male mice per group). ***, <span class="html-italic">p</span> ≤ 0.001 as assessed by two-way ANOVA with Tukey’s multiple comparison test.</p>
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<p>CYP46A1 activation in the in vitro co-incubations with <span class="html-italic">(S)</span>-EFV and a dihydroxy EFV metabolite. (<b>A</b>) <span class="html-italic">(S)</span>-EFV was used at a fixed (20 μM) concentration, and the concentration of a dihydroxyEFV metabolite varied from 0 to 100 μM. (<b>B</b>) Both <span class="html-italic">(S)</span>-EFV and a dihydroxy EFV metabolite were used at varied concentrations, increasing from 0 to 100 μM for <span class="html-italic">(S)</span>-EFV and decreasing from 100 to 0 μM for a dihydroxy EFV metabolite. CYP46A1 activity represents nanomoles of 24-hydoxycholesterol (24HC) per nanomole of CYP46A1 per min. The results are the mean ± SD of the three independent experiments.</p>
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13 pages, 1663 KiB  
Article
Plasma Concentrations of Rosmarinic Acid in Patients on Antiretroviral Therapy: In Silico Exploration Based on Clinical Data
by Maja Hitl, Nebojša Pavlović, Snežana Brkić, Gordana Dragović, Branislava Srđenović-Čonić and Nebojša Kladar
Int. J. Mol. Sci. 2024, 25(4), 2230; https://doi.org/10.3390/ijms25042230 - 13 Feb 2024
Cited by 1 | Viewed by 1203
Abstract
Rosmarinic acid (RA) is a phenolic compound with antiviral properties, often encountered in dietary supplements and herbal drugs. Data on the pharmacokinetics of RA are lacking in cases of the chronic use of supplements containing this compound, and only limited data on the [...] Read more.
Rosmarinic acid (RA) is a phenolic compound with antiviral properties, often encountered in dietary supplements and herbal drugs. Data on the pharmacokinetics of RA are lacking in cases of the chronic use of supplements containing this compound, and only limited data on the metabolism and distribution of RA are available. The aim of the study was to investigate the plasma levels of RA after 12 weeks of use and determine potential interactions of RA and selected antiretroviral drugs. Patients infected with human immunodeficiency virus took a supplement containing RA for 12 weeks, after which the RA concentrations in the plasma samples were analyzed. A detailed in silico analysis was conducted in order to elucidate the potential interactions between RA and the drugs efavirenz, darunavir and raltegravir. It was found that RA can be detected in patients’ plasma samples, mainly in the form of sulphoglucuronide. The potential interactions are suggested on the level of liver metabolizing enzymes and efflux P-glycoprotein, with RA competing with antiretroviral drugs as a substrate in metabolism and distribution systems. The present study suggests that the simultaneous use of RA and antiretroviral therapy (containing efavirenz, darunavir or raltegravir) may affect the plasma levels of RA after prolonged supplementation. Full article
(This article belongs to the Section Bioactives and Nutraceuticals)
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<p>Plasma concentrations (C, in mg/L) of rosmarinic acid at corresponding post-dose time (h) in (<b>a</b>) efavirenz (n = 12), (<b>b</b>) darunavir (n = 11) and (<b>c</b>) raltegravir (n = 6) patient groups, with n being the number of patients in each group.</p>
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<p>Molecular docking of (<b>a</b>) rosmarinic acid and (<b>b</b>) paclitaxel at the binding site of P-glycoprotein.</p>
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