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Maria Stella Graziani

Deputy Director
Martina Zaninotto

Associate Editors
Ferruccio Ceriotti
Davide Giavarina
Bruna Lo Sasso
Giampaolo Merlini
Martina Montagnana
Andrea Mosca
Paola Pezzati
Rossella Tomaiuolo
Matteo Vidali

International Advisory Board Khosrow Adeli Canada
Sergio Bernardini Italy
Marcello Ciaccio Italy
Eleftherios Diamandis Canada
Philippe Gillery France
Kjell Grankvist Sweden
Hans Jacobs The Netherlands
Eric Kilpatrick UK
Magdalena Krintus Poland
Giuseppe Lippi Italy
Mario Plebani Italy
Sverre Sandberg Norway
Ana-Maria Simundic Croatia
Tommaso Trenti Italy
Cas Weykamp The Netherlands
Maria Willrich USA
Paul Yip Canada

Biomedia srl
Via L. Temolo 4, 20126 Milano

Responsible Editor
Giuseppe Agosta

Editorial Secretary
Andrea di Bello
Biomedia srl
Via L. Temolo 4, 20126 Milano
Tel. 0245498282


ISSN print: 0393 – 0564
ISSN digital: 0392- 7091

BC: Articoli scritti da A. D'Avolio

Pharmacogenetic markers able to predict lipid-related parameters in a cohort of ritonavir treated patients
<p>Introduction: Ritonavir (RTV) could cause lipodistrofy and body fat redistribution. Pharmacogenetics could explain part of variability in RTV treatment outcome, but few data are present in literature concerning its influence on lipid-associated parameters. For these reasons, aim of this study is to describe the role of single nucleotide polymorphisms (SNPs) in genes involved in lipids and RTV transport and metabolism in affecting lipid-related biomarkers in a cohort of HIV-infected patients.<br />Methods: adult HIV-affected patients, being on RTV-containing antiretroviral treatment for at least 6 months, were enrolled at the &ldquo;Amedeo di Savoia&rdquo; hospital in Turin (Italy). Genotypes were assessed through real-time PCR.<br />Results: 99 patients were recruited for the study. The following associations were suggested: ABCB13435 TT on total cholesterol and triglycerydes, ABCB12677 on viral load, ABCC2-1249 AA on glucose,ABCC2 -24 GA/AA on total cholesterol, low density lipoproteins cholesterol and triglycerides, ABCG21194+928 CC on pancreatic amylase, HNF4 975 CG/GG on total cholesterol, low density lipoproteins cholesterol, VEGF-1154 AA on lactate dehydrogenase.<br />Discussion: This work was the first analyzing genetic polymorphisms affecting lipid-related markers in a cohort of RTV-treated patients. Further analyses are warranted to confirm these data and evaluate their influence on cardiovascular risk.</p>
Biochimica Clinica ; 44(3) 249-254
Contributi Scientifici - Scientific Papers
Vitamin D plasma level can affect nivolumab drug exposure in a cohort of patients with non-small-cell lung cancer
<p>Introduction: immune-checkpoint inhibition using programmed cell death-1 and its ligand drug inhibitors have improved survival, among patients with advanced non-small-cell lung cancer (NSCLC): nivolumab is one of the last approved. Vitamin D deficiency (&lt;20 ng/mL) is frequent in lung cancer patients and studies showed this pre-hormone modulates the expression of genes involved in drug pathway and in the immune system regulation. Furthermore, not many biomarkers related to nivolumab therapy are present in literature. The aim of this study was to understand which factors were able to predict nivolumab concentrations and its anti-antibody levels in patients&rsquo; plasma at 15, 45 and 60 days of therapy.<br />Methods: forty-five patients with advanced NSCLC were enrolled to receive nivolumab. Enzyme-linked immunosorbent assay was used for drug and vitamin D quantification.<br />Results: Median nivolumab plasma levels were 12.5, 22.3 and 27.1 &mu;g/mL respectively at 15, 45 and 60 days (p&lt;0.001). No anti-nivolumab antibodies have been detected. 25-hydroxyvitamin D median concentrations were 12.8 ng/mL at baseline, 13.6 ng/mL at 15 days, 11.8 ng/mL at 45 days and 12.9 ng/mL at 60 days. Gender significantly affected nivolumab concentrations (p=0.010 at 15 days, p=0.033 at 45 days and p=0.006 at 60 days). In linear regression analyses, 25-hydroxyvitamin D &lt;20 ng/mL before starting therapy, gender and 25-hydroxyvitamin D &lt;20 ng/mL at 15 days were able to predict nivolumab concentrations respectively at 15, 45 and 60 days of treatment.<br />Conclusions: for the first time, this study shows factors able to predict nivolumab exposure at different timings, but further, studies in bigger and different cohorts are needed to clarify these data.</p>
Biochimica Clinica ; 44(1) 045-051
Contributi Scientifici - Scientific Papers
Armonizzazione in Medicina di Laboratorio
Harmonization in Laboratory Medicine
F. Ceriotti  |  M. Panteghini  |  A. Tosetto  |  V. Valentini  |  L. Politi  |  R. Rolla  |  T. Guastafierro  |  T. Köken  |  E. Capoluongo  |  C. Mazzaccara  |  V. D'Argenio  |  V. D'Argenio  |  G. Lippi  |  M. Plebani  |  D. Giavarina  |  M. Berardi  |   A survey on sample matrix and preanalytical management in clinical laboratories  |  D. Bozzato  |  G. Messeri  |  M. Zaninotto  |  M. Vidali  |  A. Padoan  |  M. Panteghini  |  F. Braga  |  G. Gessoni  |  M. Montagnana  |  N. Doğan  |  M. Barberis  |  M. Barberis  |  A. Marchetti  |  F. Borrillo  |  L. Bonfanti  |  P.M. Ness  |  G. Messeri  |  S. Nannini  |  J. Queraltò  |  E. Fiorio  |  L. Crinò  |  M. A. V. Willrich  |  A. Modenese  |  M. Berardi  |  G. Nordera  |  M. Girelli  |  R. Tomaiuolo  |  D. Giavarina  |  R. Danesi  |  M. Locatelli  |  M. Savoia  |  S. Bernardini  |  C. Domenichini  |  M. Lamonaca  |  P. Pradella  |  A. D'Avolio  | 
Biochimica Clinica ; 39(6) 546-547
Editoriale - Editorial