Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where M. M. Santoro is active.

Publication


Featured researches published by M. M. Santoro.


Antiviral Therapy | 2013

Impact of pre-therapy viral load on virological response to modern first-line HAART.

Maria Mercedes Santoro; Daniele Armenia; Claudia Alteri; Philippe Flandre; Andrea Calcagno; M. M. Santoro; Caterina Gori; Lavinia Fabeni; Rita Bellagamba; Vanni Borghi; Federica Forbici; Alessandra Latini; Guido Palamara; Raffaella Libertone; Valerio Tozzi; Evangelo Boumis; Chiara Tommasi; Carmela Pinnetti; Adriana Ammassari; Emanuele Nicastri; A. R. Buonomini; Valentina Svicher; Massimo Andreoni; Pasquale Narciso; Cristina Mussini; Andrea Antinori; Francesca Ceccherini-Silberstein; Giovanni Di Perri; Carlo Federico Perno

BACKGROUND We tested whether pre-HAART viraemia affects the achievement and maintenance of virological success in HIV-1-infected patients starting modern first-line therapies. METHODS A total of 1,430 patients starting their first HAART (genotype-tailored) in 2008 (median; IQR: 2006-2009) were grouped according to levels of pre-HAART viraemia (≤ 30,000, 30,001-100,000, 100,001-300,000, 300,001-500,000 and > 500,000 copies/ml). The impact of pre-therapy viraemia on the time to virological success (viraemia ≤ 50 copies/ml) and on the time to virological rebound (first of two consecutive viraemia values > 50 copies/ml after virological success) were evaluated by Kaplan-Meier curves and Cox regression analyses. RESULTS Median pre-HAART viraemia was 5.1 log10 copies/ml (IQR 4.5-5.5), and 53% of patients had viraemia > 100,000 copies/ml. By week 48, the prevalence of patients reaching virological success was > 90% in all pre-HAART viraemia ranges, with the only exception of range > 500,000 copies/ml (virological success = 83%; P < 0.001). Higher pre-HAART viraemia was tightly correlated with longer median time to achieve virological success. Cox multivariable estimates confirmed this result: patients with pre-HAART viraemia > 500,000 copies/ml showed the lowest hazard of virological undetectability after adjusting for age, gender, pre-HAART CD4+ T-cell count, transmitted drug resistance, calendar year and third drug administered (adjusted hazard ratio [95% CI]: 0.27 [0.21, 0.35]; P < 0.001). Pre-HAART viraemia > 500,000 copies/ml was also associated with higher probability of virological rebound compared with patients belonging to lower viraemia strata at weeks 4, 12 and 24 (P = 0.050). CONCLUSIONS At the time of modern HAART, and even though an average > 90% of virological success, high pre-HAART viraemia remains an independent factor associated with delayed and decreased virological success. Patients starting HAART with > 500,000 copies/ml represent a significant population that may deserve special attention.


Archives of Virology | 2011

Performance evaluation of an in-house human immunodeficiency virus type-1 protease-reverse transcriptase genotyping assay in Cameroon

Joseph Fokam; R. Salpini; M. M. Santoro; V. Cento; Roberta D’Arrigo; Caterina Gori; Carlo Federico Perno; Vittorio Colizzi; Aubin Nanfack; Luc-Christian Gwom; Giulia Cappelli; Desire Takou

Most commercial HIV-1 genotyping assays are hampered by high cost in resource-limited settings. Moreover, their performance might be influenced over time by HIV genetic heterogeneity and evolution. An in-house genotyping protocol was developed, and its sequencing performance and reproducibility were compared to that of ViroSeq™. One hundred ninety plasma samples from HIV-1-infected subjects in Cameroon, a resource-limited setting with a high HIV genetic variability, were processed for pol gene sequencing with an in-house protocol, ViroSeq™, or both. Only non-B subtypes were found. The in-house sequencing performance was 98.7% against 92.1% with ViroSeq™. Among 36 sequence pairs obtained using both assays, the overall rate of discordant amino acid positions was negligible (0.24%). With its high sensitivity and reproducibility, as well as its affordable cost (about half of ViroSeq™: 92 € vs. 217 €), this in-house assay is a suitable alternative for HIV-1 genotyping in resource-limited and/or in high-genetic-diversity settings.


Clinical Microbiology and Infection | 2012

The lowest X4 Geno2Pheno false-positive rate is associated with greater CD4 depletion in HIV-1 infected patients

M. M. Santoro; Daniele Armenia; Lavinia Fabeni; Maria Mercedes Santoro; Caterina Gori; Federica Forbici; Valentina Svicher; A. Bertoli; Luca Dori; Matteo Surdo; Emanuela Balestra; Guido Palamara; Enrico Girardi; Gioacchino Angarano; Massimo Andreoni; Pasquale Narciso; Andrea Antinori; Francesca Ceccherini-Silberstein; Carlo Federico Perno

Through this study we evaluated whether the HIV-1 tropism determined by genotypic analysis correlates with HIV-1 markers, such as CD4 cell count and plasma HIV-RNA. The analysis was performed on 1221 HIV-1 B-subtype infected patients with an available V3 sequence (all maraviroc naive). Of them, 532 were antiretroviral therapy (ART) naive and 689 ART experienced. Tropism determination was performed by using the geno2pheno (co-receptor) algorithm set at a false-positive rate (FPR) of 10% and 2%. Potential associations of FPR with CD4 cell count and viraemia were evaluated. Association of V3 mutations with genotypic-determined tropism was also evaluated according to different FPR ranges. About 26% of patients (either ART naive or ART experienced) were infected by X4-tropic viruses (using the classical 10% FPR cut-off). However, a significantly lower proportion of ART-naive patients had FPR ≤ 2% in comparison with ART-experienced patients (4.9% vs. 12.6%, respectively, p <0.001). The risk of advanced HIV-1 infection (with CD4 cell count ≤ 200 cells/mm(3)) was significantly greater in X4-infected patients, either ART-naive (OR (95% CI)), 4.2 (1.8-9.2); p 0.0006) or ART-experienced (2.3 (1.4-3.6); p 0.0003), with FPR set at 2% (but not at 10%). This finding was confirmed by multivariable logistic analysis. No relationship was found between viraemia and FPR ≤2%. Some X4-related mutations were significantly associated with FPR ≤2% (ART-naive patients, S11R, Y21V, G24K and G24R, p ≤0.001; ART-experienced patients, Y7K, S11R, H13Y, p ≤0.002). In conclusion, these findings show that within the context of genotypically-assessed CXCR4 tropism, FPR ≤2% defines (far better than 10%-FPR) a viral population associated with low CD4 rank, with potentially greater cytopathic effect, and with more advanced disease.


AIDS Research and Human Retroviruses | 2009

Dynamics of NRTI resistance mutations during therapy interruption.

Maria Trignetti; Tobias Sing; Valentina Svicher; Maria Mercedes Santoro; Federica Forbici; Roberta D'Arrigo; Maria Concetta Bellocchi; M. M. Santoro; Patrizia Marconi; Mauro Zaccarelli; Maria Paola Trotta; Rita Bellagamba; Pasquale Narciso; Andrea Antinori; Thomas Lengauer; Carlo Federico Perno; Francesca Ceccherini-Silberstein

Abstract To date, very little information is available regarding the evolution of drug resistance mutations during treatment interruption (TI). Using a survival analysis approach, we investigated the dynamics of mutations associated with resistance to nucleoside analogue reverse transcriptase inhibitors (NRTIs) during TI. Analyzing 132 patients having at least two consecutive genotypes, one at last NRTI-containing regimen failure, and at least one during TI, we observed that the NRTI resistance mutations disappear at different rates during TI and are lost independently of each other in the majority of patients. The disappearance of the K65R and M184I/V mutations occurred in the majority of patients, was rapid, and was associated with the reemergence of wild-type virus, thus showing their negative impact on viral fitness. Overall, it seems that the loss of NRTI drug resistance mutations during TI is not an ordered process, and in the majority of patients occurs without specific interaction among mutations.


Journal of Antimicrobial Chemotherapy | 2015

HIV-1 integrase genotyping is reliable and reproducible for routine clinical detection of integrase resistance mutations even in patients with low-level viraemia

Daniele Armenia; Lavinia Fabeni; Claudia Alteri; D. Di Pinto; Di Carlo; A. Bertoli; Caterina Gori; Stefania Carta; Valentina Fedele; Federica Forbici; Roberta D'Arrigo; Valentina Svicher; Giulia Berno; Daniele Pizzi; Emanuele Nicastri; Loredana Sarmati; Carmela Pinnetti; A. Ammassari; Gianpiero D'Offizi; Alessandra Latini; Massimo Andreoni; Andrea Antinori; Francesca Ceccherini-Silberstein; Carlo Federico Perno; M. M. Santoro

OBJECTIVES Integrase drug resistance monitoring deserves attention because of the increasing number of patients being treated with integrase strand-transfer inhibitors. Therefore, we evaluated the integrase genotyping success rate at low-level viraemia (LLV, 51-1000 copies/mL) and resistance in raltegravir-failing patients. METHODS An integrase genotypic resistance test (GRT) was performed on 1734 HIV-1 samples collected during 2006-13. Genotyping success rate was determined according to the following viraemia levels: 51-500, 501-1000, 1001-10 000, 10 001-100 000 and >100 000 copies/mL. The reproducibility of integrase GRT was evaluated in 41 plasma samples processed in duplicate in two reference centres. The relationship between LLV and resistance prevalence was evaluated in a subset of 120 raltegravir-failing patients. RESULTS Overall, the integrase genotyping success rate was 95.7%. For viraemia levels 51-500 and 501-1000 copies/mL, the rate of success was 82.1% and 94.0%, respectively. GRT was reproducible, producing sequences with a high similarity and an equal resistance profile regardless of the sequencing centre or viraemia level. Resistance was detected both at LLV and at viraemia >1000 copies/mL (51-500 copies/mL = 18.2%; 501-1000 = 37.5%; 1001-10 000 = 53.7%; 10 001-100 000 = 30.0%; and >100 000 = 30.8%). At viraemia ≤500 copies/mL, Q148H/K/R and N155H had the same prevalence (9.1%), while the Y143C/H/R was completely absent. At early genotyping (within 3 months of raltegravir treatment), Q148H/K/R and N155H mutations were detected regardless of the viraemia level, while Y143C/H/R was observed only in samples with viraemia >1000 copies/mL. CONCLUSIONS Our findings prove the reliability of HIV-1 integrase genotyping and reinforce the concept that this assay may be useful in the management of failures even at LLV.


Hiv Medicine | 2013

Drug‐resistance development differs between HIV‐1‐infected patients failing first‐line antiretroviral therapy containing nonnucleoside reverse transcriptase inhibitors with and without thymidine analogues

M. M. Santoro; Caroline Sabin; Federica Forbici; Loveleen Bansi; David Dunn; Esther Fearnhill; Evangelo Boumis; Emanuele Nicastri; Andrea Antinori; Guido Palamara; Annapaola Callegaro; Daniela Francisci; A. Zoncada; Franco Maggiolo; Maurizio Zazzi; Carlo Federico Perno; Francesca Ceccherini-Silberstein; C. Mussini

We evaluated the emergence of drug resistance in patients failing first‐line regimens containing one nonnucleoside reverse transcriptase inhibitor (NNRTI) administered with zidovudine (ZDV) + lamivudine (the ZDV group) or non‐thymidine analogues (non‐TAs) (tenofovir or abacavir, + lamivudine or emtricitabine; the non‐TA group).


Infection | 2009

Two Different Patterns of Mutations are Involved in the Genotypic Resistance Score for Atazanavir Boosted Versus Unboosted by Ritonavir in Multiple Failing Patients

M. M. Santoro; A. Bertoli; Patrizia Lorenzini; Francesca Ceccherini-Silberstein; Nicola Gianotti; Cristina Mussini; Carlo Torti; G. Di Perri; Giorgio Barbarini; Teresa Bini; S. Melzi; Pietro Caramello; Renato Maserati; Pasquale Narciso; Valeria Micheli; Andrea Antinori; Carlo Federico Perno

Objectives:The protease inhibitor atazanavir (ATV) can be used either boosted by ritonavir (ATV300/r) or unboosted (ATV400). To date, however, genotypic resistance scores (GRSs) have been developed only for boosted-ATV. We have determined GRS associated with virologic response (VR) for both ATV300/r and ATV400 in highly pre-treated HIV-1 infected patients.Patients and Methods:We analyzed the results of genotypic tests available 0–3 months before the initiation of an ATV-containing regimen in 159 patients with HIV-RNA ≥ 500 copies/ml (ATV300/r group: 74; ATV400 group: 85) who were enrolled in the CARe study through an Early Access Program. The impact of baseline protease mutations on VR (≥ 1 log10copies/ml HIV-RNA decrease at 12–24 weeks) was analyzed using Fisher’s exact test. Mutated protease amino acid positions (MPP) with p < 0.20 were retained for further analysis. The GRSs were determined by a step-by-step analysis using the χ2 test for trend.Results:The GRSs for ATV300/r and ATV400 revealed differing sets of mutations. For ATV300/r, 12 MPPs (10C/I/V + 32I + 34Q + 46I/L + 53L + 54A/M/V + 82A/F/I/T + 84V + 90M – 15E/G/L/V – 69K/M/N/Q/R/T/Y – 72M/ T/V; p = 1.38 × 10–9) were the most strongly associated with VR (VR: 100%, 78.3%, 83.3%, 75% and 0% of patients with a score of –2/–1, 0, 1, 2, and ≥ 3, respectively); the last three MPPs (I15/H69/I72) were associated with a better VR. For ATV400, nine MPPs (16E + 20I/M/R/T/V + 32I + 33F/I/V + 53L/Y + 64L/M/ V + 71I/T/V + 85V + 93L/M; p = 9.42 × 10–8) were most strongly associated with VR (VR: 83.3%, 66.7%, 5.9%, 0% of patients with 0, 1/2, 3, and ≥ 4 MPP, respectively). Differences between GRSs for ATV300/r and ATV400 may be due to different ATV drug levels (boosted vs unboosted), favoring different pathways of escape from antiviral pressure.Conclusions:Both GRSs were independent predictors of response in a multivariable logistic regression model. Nevertheless, cross-validation of these GRSs on different patient databases is required before their implementation in clinical practice.


Drugs-education Prevention and Policy | 2013

Drug user dynamics: a compartmental model of drug users for scenario analyses

M. M. Santoro; Livio Triolo; Carla Rossi

A six-typology compartment model of trends in the use of illicit drugs in Italy is developed to evaluate policies and interventions through scenario analyses. Inside the big compartments of just-cannabis users and multiple drug users, three subpopulations are taken into account: the occasional, regular and intensive user. Moreover, compartments for health care, assisted persons together with a constant source (susceptible) are added; removed people (i.e. those who leave drugs for any reason) are put in a compartment which does not participate in the dynamics. Flows from the susceptible reservoir among the drug-user compartments and to the removed or the health care compartments are studied in a deterministic linear ODE framework, where parameters are estimated using Italian data. This system shows an evolution towards a steady state, the speed of convergence being dependent on parameters in a fairly visible way. This model represents a theoretical development in drug policy analysis, as it shows the relevance of flux parameters, which are in principle subject to modifications due to institutional efforts, together with a quantitative evaluation of their role in the evolution of the whole system.


Journal of Antimicrobial Chemotherapy | 2017

Dynamics and phylogenetic relationships of HIV-1 transmitted drug resistance according to subtype in Italy over the years 2000–14

Lavinia Fabeni; Claudia Alteri; Di Carlo; Nicoletta Orchi; L. Carioti; A. Bertoli; Caterina Gori; Federica Forbici; Fabio Continenza; Gaetano Maffongelli; Carmela Pinnetti; Alessandra Vergori; A Mondi; A. Ammassari; Vanni Borghi; Massimo Giuliani; G De Carli; S Pittalis; Susanna Grisetti; Alfredo Pennica; Claudio M. Mastroianni; Francesco Montella; A Cristaudo; Cristina Mussini; Enrico Girardi; M. Andreoni; Andrea Antinori; Francesca Ceccherini-Silberstein; Carlo Federico Perno; M. M. Santoro

Background Transmitted drug-resistance (TDR) remains a critical aspect for the management of HIV-1-infected individuals. Thus, studying the dynamics of TDR is crucial to optimize HIV care. Methods In total, 4323 HIV-1 protease/reverse-transcriptase sequences from drug-naive individuals diagnosed in north and central Italy between 2000 and 2014 were analysed. TDR was evaluated over time. Maximum-likelihood and Bayesian phylogenetic trees with bootstrap and Bayesian-probability supports defined transmission clusters. Results Most individuals were males (80.2%) and Italian (72.1%), with a median (IQR) age of 37 (30-45) years. MSM accounted for 42.2% of cases, followed by heterosexuals (36.4%). Non-B subtype infections accounted for 30.8% of the overall population and increased over time (<2005-14: 19.5%-38.5%, P < 0.0001), particularly among Italians (<2005-14: 6.5%-28.8%, P < 0.0001). TDR prevalence was 8.8% and increased over time in non-B subtypes (<2005-14: 2%-7.1%, P = 0.018). Overall, 467 transmission clusters (involving 1207 individuals; 27.9%) were identified. The prevalence of individuals grouping in transmission clusters increased over time in both B (<2005-14: 12.9%-33.5%, P = 0.001) and non-B subtypes (<2005-14: 18.4%-41.9%, P = 0.006). TDR transmission clusters were 13.3% within the overall cluster observed and dramatically increased in recent years (<2005-14: 14.3%-35.5%, P = 0.005). This recent increase was mainly due to non-B subtype-infected individuals, who were also more frequently involved in large transmission clusters than those infected with a B subtype [median number of individuals in transmission clusters: 7 (IQR 6-19) versus 4 (3-4), P = 0.047]. Conclusions The epidemiology of HIV transmission changed greatly over time; the increasing number of transmission clusters (sometimes with drug resistance) shows that detection and proper treatment of the multi-transmitters is a major target for controlling HIV spread.


Journal of Antimicrobial Chemotherapy | 2016

Pre-existent NRTI and NNRTI resistance impacts on maintenance of virological suppression in HIV-1-infected patients who switch to a tenofovir/emtricitabine/rilpivirine single-tablet regimen

Daniele Armenia; Di Carlo; Andrea Calcagno; G. Vendemiati; Federica Forbici; A. Bertoli; Giulia Berno; Stefania Carta; Fabio Continenza; Valentina Fedele; Rita Bellagamba; Stefania Cicalini; A. Ammassari; Raffaella Libertone; Mauro Zaccarelli; Valeria Ghisetti; Massimo Andreoni; Francesca Ceccherini-Silberstein; Stefano Bonora; G. Di Perri; Andrea Antinori; Carlo Federico Perno; M. M. Santoro

Objectives: To evaluate the maintenance of virological suppression (VS) in antiretroviral-treated HIV-1-suppressed patients switching to a tenofovir/emtricitabine/rilpivirine (TDF/FTC/RPV) single-tablet regimen, by considering pre-existent resistance (pRes). Methods: pRes was evaluated according to resistance on all previous plasma genotypic resistance tests. Probability and predictors of virological rebound (VR) were evaluated. Results: Three hundred and nine patients were analysed; 5.8% of them showed resistance to both NRTIs and NNRTIs, while 12.6% showed resistance to only one of these drug classes. By 72 weeks, the probability of VR was 11.3%. A higher probability of VR was found in the following groups: (i) patients with NRTI + NNRTI pRes compared with those harbouring NRTI or NNRTI pRes and with those without reverse transcriptase inhibitor pRes (39.2% versus 11.5% versus 9.4%, P < 0.0001); (ii) patients with a virus with full/intermediate resistance to both tenofovir/emtricitabine and rilpivirine compared with those having a virus with full/intermediate resistance to tenofovir/emtricitabine or rilpivirine and those having a virus fully susceptible to TDF/FTC/RPV (36.4% versus 17.8% versus 9.7%, P < 0.001); and (iii) patients with pre-therapy viraemia >500 000 copies/mL compared with those with lower viraemia levels (>500 000: 16.0%; 100 000–500 000: 9.3%; <100 000 copies/mL: 4.8%, P = 0.009). pRes and pre-therapy viraemia >500 000 copies/mL were independent predictors of VR by multivariable Cox regression. Conclusions: TDF/FTC/RPV as a treatment simplification strategy shows a very high rate of VS maintenance. The presence of pRes to both NRTIs and NNRTIs and a pre-therapy viraemia >500 000 copies/mL are associated with an increased risk of VR, highlighting the need for an accurate selection of patients before simplification.

Collaboration


Dive into the M. M. Santoro's collaboration.

Top Co-Authors

Avatar

Andrea Antinori

National Institutes of Health

View shared research outputs
Top Co-Authors

Avatar

Carlo Federico Perno

University of Rome Tor Vergata

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

A. Bertoli

University of Rome Tor Vergata

View shared research outputs
Top Co-Authors

Avatar

Valentina Svicher

University of Rome Tor Vergata

View shared research outputs
Top Co-Authors

Avatar

Roberta D'Arrigo

National Institutes of Health

View shared research outputs
Top Co-Authors

Avatar

Pasquale Narciso

National Institutes of Health

View shared research outputs
Top Co-Authors

Avatar

Daniele Armenia

University of Rome Tor Vergata

View shared research outputs
Top Co-Authors

Avatar

Lavinia Fabeni

University of Rome Tor Vergata

View shared research outputs
Top Co-Authors

Avatar

Rita Bellagamba

National Institutes of Health

View shared research outputs
Researchain Logo
Decentralizing Knowledge