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      Evaluation of Serum/Urine Genomic and Metabolomic Profiles to Improve the Adherence to Sildenafil Therapy in Patients with Erectile Dysfunction

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          Abstract

          Type V-phosphodiesterase-inhibitors (PDE5i) are the first choice drugs in the treatment of erectile dysfunction (ED), being effective in 60–70% of patients. However, approximately 50% of patients per year discontinue the treatment with PDE5i after reporting poor drug efficacy or major adverse drug reactions (ADR). To identify early markers of efficacy/safety for the treatment of ED with PDE5i, the basal clinical characteristics of patients, integrated with metabolomics analysis of serum and urine and genomic data, were here correlated with the PDE5i efficacy and the occurrence of ADR upon administration. Thirty-six males with new diagnosis of ED were consecutively recruited and characterized at baseline for anthropometrics, blood pressure, blood glucose, lipid profile, serum levels of thyroid/sex hormones and erectile function evaluated by IIEF-15 questionnaire. Targeted Next Generation Sequencing (NGS) was applied to genes involved in PDE5i pharmacodynamics and pharmacokinetics. Fasting metabolic profiles of serum and urine were assessed by nuclear magnetic resonance (NMR)-based metabolomics analysis. Patients were prescribed on-demand therapy with Sildenafil oro-dispersible film and followed-up after 3 months from recruitment. Baseline data were compared with IIEF-15 score at follow-up and with the occurrence of ADR recorded by a dedicated questionnaire. Twenty-eight patients were finally included in the analysis. Serum LDL-cholesterol levels were increased in those reporting ADR (143.3 ± 13.2 mg/dl ADR vs. 133.1 ± 12.4 mg/dl No ADR; p = 0.046). NGS data showed that specific variants of PDE11A and CYP2D7 genes were more represented in drug responders (both relative risk = 2.7 [0.9–5.1]; p = 0.04). NMR-based metabolomics showed the highest association between serum LDL-cholesterol metabolites and the occurrence of ADR (Hazard ratio = 17.5; p = 0.019). The association between lipid profile and the ADR pattern suggests major cues in the tailoring of ED therapy with PDE5i.

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            Adherence to Medication

            New England Journal of Medicine, 353(5), 487-497
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              Probabilistic quotient normalization as robust method to account for dilution of complex biological mixtures. Application in 1H NMR metabonomics.

              For the analysis of the spectra of complex biofluids, preprocessing methods play a crucial role in rendering the subsequent data analyses more robust and accurate. Normalization is a preprocessing method, which accounts for different dilutions of samples by scaling the spectra to the same virtual overall concentration. In the field of 1H NMR metabonomics integral normalization, which scales spectra to the same total integral, is the de facto standard. In this work, it is shown that integral normalization is a suboptimal method for normalizing spectra from metabonomic studies. Especially strong metabonomic changes, evident as massive amounts of single metabolites in samples, significantly hamper the integral normalization resulting in incorrectly scaled spectra. The probabilistic quotient normalization is introduced in this work. This method is based on the calculation of a most probable dilution factor by looking at the distribution of the quotients of the amplitudes of a test spectrum by those of a reference spectrum. Simulated spectra, spectra of urine samples from a metabonomic study with cyclosporin-A as the active compound, and spectra of more than 4000 samples of control animals demonstrate that the probabilistic quotient normalization is by far more robust and more accurate than the widespread integral normalization and vector length normalization.
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                Author and article information

                Contributors
                Journal
                Front Pharmacol
                Front Pharmacol
                Front. Pharmacol.
                Frontiers in Pharmacology
                Frontiers Media S.A.
                1663-9812
                10 December 2020
                2020
                : 11
                : 602369
                Affiliations
                [ 1 ]Unit of Andrology and Reproduction Medicine—Department of Medicine, University of Padova, Padova, Italy
                [ 2 ]Consorzio Interuniversitario Risonanze Magnetiche di Metallo Proteine (CIRMMP), Sesto Fiorentino, Italy
                [ 3 ]Department of Chemistry “Ugo Schiff”, University of Florence, Sesto Fiorentino, Italy
                [ 4 ]Autònoma de Barcelona, Instituto de Investigaciones Biomédicas Sant Pau, Barcelona, Spain
                [ 5 ]Biomedical Research Foundation Academy of Athens (BRFAA), Athens, Greece
                [ 6 ]Department of Medicine, University of Padova, Padova, Italy
                Author notes
                [†]

                These authors have contributed equally to this work

                Edited by: Lei Xi, Virginia Commonwealth University, United States

                Reviewed by: Sai S. Koka, University of Houston, United States

                Yuan James Rao, Washington University in St. Louis, United States

                *Correspondence: Carlo Foresta, carlo.foresta@ 123456unipd.it

                This article was submitted to Translational Pharmacology, a section of the journal Frontiers in Frontiers in Pharmacology

                Article
                602369
                10.3389/fphar.2020.602369
                7849189
                33536912
                40a79f2c-f62c-4200-9ab5-ebbfe3eaa7bc
                Copyright © 2020 Rocca, Vignoli, Tenori, Ghezzi, De Rocco Ponce, Vatsellas, Thanos, Padrini, Foresta and De Toni.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 03 September 2020
                : 04 November 2020
                Page count
                Pages: 0
                Funding
                Funded by: Horizon 2020 10.13039/501100007601
                Award ID: 654248
                Categories
                Pharmacology
                Original Research

                Pharmacology & Pharmaceutical medicine
                drug safety,adherence,adverse drug reactions,translational research,nuclear magnetic resonance

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