Liver Graft Allocation by Means of a New, Regionally Shared "Mixed" Model: The Experience in Lazio.

INTRODUCTION: Since 2013, the regional network of transplantation centers "LAZIO TRANSPLANT" have adopted a new, mixed system for the allocation of liver grafts. METHODS: The organs from donors aged <65 are assigned to patients with higher Model for End-stage Liver Disease (MELD) scores on a common regional waiting list, whereas those from donors aged >65 are allocated to patients with higher MELD scores on a specific local waiting list (LWL) at each center, on a rotational basis. RESULTS: The new mixed allocation model grants a more rational allocation of the "standard" organs to the patients with the actual worst MELD score in the entire region, avoiding the possibility that a patient in relatively better clinical condition might be transplanted before a more severely ill patient on another center's waiting list. Nonstandard organs, presenting slightly increased transplant risks, are still allocated on a rotational basis among the different transplant centers, ensuring them the possibility to select, on the basis of a global clinical risk evaluation, those patients in their LWL whose MELD score would not grant any possibility to compete for the "standard" organ allocation. CONCLUSIONS: The application of the new model had no negative impact on the overall number of transplants performed or on the global list-satisfaction percentages, but has slightly improved the cumulative mortality of the patients in the waiting list, granting to the clinically worst patients a prompt graft allocation, independent of the local center belonging.

Virtual crossmatch in kidney transplantation.

BACKGROUND: The Luminex Single-Antigen Beads (LSA) assay allows an accurate detection and characterization of preexisting donor-specific antibodies (DSA) in kidney transplant candidates. But the ability of LSA to detect quite low levels of antibodies makes it hard to correctly predict crossmatch results in donor selection. In this study we retrospectively analyzed the accuracy of our virtual crossmatch (v-XM) protocol, which was used for selection of potential kidney transplant recipients, in predicting the results of actual crossmatch (a-XM) in cadaver-donor renal transplantation. We also investigated correlation between negative a-XM results and strength/specificity of preformed DSA. METHODS: The correlation between negative v-XMs and a-XMs performed in 2007-2012 at the Regional Transplant Center of the Lazio Region, Italy, was analyzed. In carrying out v-XM, the donor HLA molecules against which patients showed LSA-detected DSA with normalized mean fluorescence intensity (MFI)≥5,000 were considered to be "unacceptable DSA," and LSA-DSA showing MFI<5,000 were defined as "acceptable DSA." All cadaver donors had been typed for HLA-A, -B, -DR, and -DQB molecules by sequence-specific primer methods. On the basis of a negative v-XM, we performed 507 a-XMs between serum samples from 256 renal transplant candidates and T/B lymphocytes from 302 cadaver donors with the use of both complement-dependent cytotoxicity (CDC) and flow cytometry (FC) methods. RESULTS: The v-XM negative results showed good correlation with both CDC and FC a-XMs (97% and 90%, respectively). The sensitivity of v-XM was 100%; this high value was related to the lack of false-negative DSA results. The limited specificity with both techniques (CDC-XM, 74%; FC-XM, 79%) was due to the presence of "acceptable" and/or anti-DQA/DPB DSA in some patient sera used to perform the a-XMs. During the study period, 171 (67%) of the 256 sensitized patients received a kidney transplant: 30% of these had "acceptable DSA" and/or anti-DQA/DPB DSA. No antibody-mediated rejection due to preformed HLA-DSA was observed. CONCLUSIONS: Our v-XM protocol showed high sensitivity in predicting donor-recipient immunologic compatibility. The results of this study also demonstrated the importance of evaluating DSA strength for implementing v-XM results in the selection of kidney transplant recipients. Moreover, the finding of anti-DQA/DPB DSA, especially in serum samples that gave positive results with the use of both CDC and FC a-XMs, highlights the importance of defining all of the donor HLA molecules to perform an accurate v-XM.

A comparison among different techniques for human ERG signals processing and classification.

Feature detection in biomedical signals is crucial for deepening our knowledge about the involved physiological processes. To achieve this aim, many analytic approaches can be applied but only few are able to deal with signals whose time dependent features provide useful clinical information. Among the biomedical signals, the electroretinogram (ERG), that records the retinal response to a light flash, can improve our comprehension of the complex photoreceptoral activities. The present study is focused on the analysis of the early response of the photoreceptoral human system, known as a-wave ERG-component. This wave reflects the functional integrity of the photoreceptors, rods and cones, whose activation dynamics are not yet completely understood. Moreover, since in incipient photoreceptoral pathologies eventual anomalies in a-wave are not always detectable with a "naked eye" analysis of the traces, the possibility to discriminate pathologic from healthy traces, by means of appropriate analytical techniques, could help in clinical diagnosis. In the present paper, we discuss and compare the efficiency of various techniques of signal processing, such as Fourier analysis (FA), Principal Component Analysis (PCA), Wavelet Analysis (WA) in recognising pathological traces from the healthy ones. The investigated retinal pathologies are Achromatopsia, a cone disease and Congenital Stationary Night Blindness, affecting the photoreceptoral signal transmission. Our findings prove that both PCA and FA of conventional ERGs, don't add clinical information useful for the diagnosis of ocular pathologies, whereas the use of a more sophisticated analysis, based on the wavelet transform, provides a powerful tool for routine clinical examinations of patients.

New insights into electron spin dynamics in the presence of correlated noise.

The changes in the spin depolarization length in zinc-blende semiconductors when an external component of correlated noise is added to a static driving electric field are analyzed for different values of field strength, noise amplitude and correlation time. Electron dynamics is simulated by a Monte Carlo procedure which takes into account all the possible scattering phenomena of the hot electrons in the medium and includes the evolution of spin polarization. Spin depolarization is studied by examining the decay of the initial spin polarization of the conduction electrons through the D'yakonov-Perel process, the only relevant relaxation mechanism in III-V crystals. Our results show that, for electric field amplitudes lower than the Gunn field, the dephasing length shortens with increasing noise intensity. Moreover, a nonmonotonic behavior of spin depolarization length with the noise correlation time is found, characterized by a maximum variation for values of noise correlation time comparable with the dephasing time. Instead, in high field conditions, we find that, critically depending on the noise correlation time, external fluctuations can positively affect the relaxation length. The influence of the inclusion of the electron-electron scattering mechanism is also shown and discussed.

An approach based on wavelet analysis for feature extraction in the a-wave of the electroretinogram.

Most biomedical signals are non-stationary. The knowledge of their frequency content and temporal distribution is then useful in a clinical context. The wavelet analysis is appropriate to achieve this task. The present paper uses this method to reveal hidden characteristics and anomalies of the human a-wave, an important component of the electroretinogram since it is a measure of the functional integrity of the photoreceptors. We here analyse the time-frequency features of the a-wave both in normal subjects and in patients affected by Achromatopsia, a pathology disturbing the functionality of the cones. The results indicate the presence of two or three stable frequencies that, in the pathological case, shift toward lower values and change their times of occurrence. The present findings are a first step toward a deeper understanding of the features of the a-wave and possible applications to diagnostic procedures in order to recognise incipient photoreceptoral pathologies.

ERG signal analysis using wavelet transform.

The wavelet analysis is a powerful tool for analyzing and detecting features of signals characterized by time-dependent statistical properties, as biomedical signals. The identification and the analysis of the components of these signals in the time-frequency domain, give meaningful information about the physiological mechanisms that govern them. This article presents the results of the wavelet analysis applied to the a-wave component of the human electroretinogram. In order to deepen and improve our knowledge about the behavior of the early photoreceptoral response, including the possible activation of interactions and correlations among the photoreceptors, we have detected and identified the stable time-frequency components of the a-wave, using six representative values of luminance. The results indicate the occurrence of three frequencies lying in the range 20-200 Hz. The lowest one is attributed to the summed activities of the photoreceptors. The others are weaker and at low luminance one of them does not occur. We relate them to the response of the rods and the cones whose aggregate activities are non-linear and typically exhibit self-organization under selective stimuli. The identification of the stable frequency components and of their times of occurrence helps us to shine light about the complex mechanisms governing the a-wave. The present results are promising toward the assessment of more refined model concerning the photoreceptoral activities.

Resonant activation in polymer translocation: new insights into the escape dynamics of molecules driven by an oscillating field.

The translocation of molecules across cellular membranes or through synthetic nanopores is strongly affected by thermal fluctuations. In this work we study how the dynamics of a polymer in a noisy environment changes when the translocation process is driven by an oscillating electric field. An improved version of the Rouse model for a flexible polymer has been adopted to mimic the molecular dynamics, by taking into account the harmonic interactions between adjacent monomers and the excluded-volume effect by introducing a Lennard-Jones potential between all beads. A bending recoil torque has also been included in our model. The polymer dynamics is simulated in a two-dimensional domain by numerically solving the Langevin equations of motion. Thermal fluctuations are taken into account by introducing a Gaussian uncorrelated noise. The mean first translocation time of the polymer centre of inertia shows a minimum as a function of the frequency of the oscillating forcing field. This finding represents the first evidence of the resonant activation behaviour in the dynamics of polymer translocation.

Correlation between genetic HLA class I and II polymorphisms and anthropological aspects in the Chaouya population from Morocco (Arabic speaking).

The aim of this study was to provide genetic and anthropological information on the Chaouya (CH), an Arabic-speaking population living in West Morocco, Atlantic coast (Settat). In 98 unrelated healthy CH volunteers, we first investigated the human leukocyte antigen (HLA) class I and II allele polymorphisms using a sequence-based typing method and examined haplotypes and relatedness of this group to other African and Mediterranean populations. The study showed the close relatedness with Tunisian population and other North Africans, together with a strong influence of various immigrations, mainly Spaniards, French, and Portuguese, as expected. Nevertheless, analysis of class II allele frequencies (afs) showed that Oromo and Amhara Ethiopian groups cluster together with the Berbers and other North Africans, confirming the relationship between these populations (Afro-Asiatic linguistic group, Hamites). South and sub-Saharan Africans cluster separately at a great distance from CH, except the sub-Saharan Bantu population from Congo Kinshasa, which shows a relatively close genetic relationship ascribable to the effect of a diversifying selection. On the other hand, considering HLA class I afs analyses, it was noteworthy that CH grouped together with sub-Saharans, showing a close genetic distance mainly with Ugandas and Kenians Luo.

Soluble CD30: a biomarker for evaluating the clinical risk versus benefit of IFNbeta1A treatment in multiple sclerosis patients.

Aberrant redox regulation occurs in immune and neurological pathologies, hence targeting the pathways involved in the regulation of the redox system could provide further insights into these diseases and open up new avenues for therapy. Soluble (s) CD30 is of key clinical importance in this respect, as its levels reflect the functionality of the CD30 receptor (CD30R), the specific lymphocyte receptor for thiol disulfide/oxidoreductase thioredoxin 1 (Trx1) which is known to regulate important immune and neurological processes. Increased levels of sCD30 appear to be a common element of oxidative stress, immunological alterations and neurological deficit, therefore these increases could be used as a clinical biomarker and target for therapy. We targeted sCD30 in our study of dendritic cell (DC) regulation of the T helper (Th) cell network in multiple sclerosis (MS) patients, as abnormalities in T regulatory (Treg)/Th1/Th17 pathways contribute to the pathogenesis of this immunological/neurological disease. DC profiles in Treg/Th1/Th2/Th17-types of cytokine production in culture supernatants were used as they determine the type of Th differentiation. Our results show that sCD30 levels increase significantly in MS patients, reflecting the disruption in the regulation of the Treg/Th1/Th17 cell network. A fall in the level of soluble CD30, induced by IFNbeta1a therapy, opposed the increase of neurological deficit through increasing IL10 and TGFbeta levels, thus re-establishing network homeostasis but only when this was accompanied by an increase in IL12p70 levels. Since IL12p70 cytokine production is regulated by Trx1, our results indicate that redox system alterations may be the cause of IFNbeta1a therapeutic inefficacy. We conclude that an increase in the level of IL10, TGFbeta and IL12p70 and a fall in the level of sCD30 represent a means of evaluating the clinical risk/benefit of IFNbeta1a treatment.

Identification of the novel HLA-A*9250 allele by sequence-based typing in a Caucasian bone marrow donor from Italy.

HLA-A*9250 allele was identified by SBT in a Caucasian bone marrow donor. It differs from the closest A*020101 by only one nucleotide (A-->G) at position 124 in exon 2 (Arg to Gly at codon 18); this is an uncommon variation at a highly conserved nucleotide position, located on the loop between S1-S2 beta-sheets in alpha1 domain.

A new HLA-A allele identified in a leukemic patient attending hematopoietic cell transplantation: A*2318.

Sequence-based typing procedure (SBT) procedure permitted us to identify a new human leukocyte antigen-A allele in a patient attending hematopoietic stem cell transplantation.

Identification of the very uncommon allele HLA-Cw*0716 in a Caucasian renal transplant recipient: extension of the exon 4 sequence.

This report describes the unknown exon 4 sequence of the rare human leukocyte antigen-Cw*0716 allele, identified in a Caucasian renal transplant recipient from Italy. This sequence is identical to the Cw*070101 allele, and this result allowed us to confirm the hypothesis of the generation of Cw*0716 allele by an interallelic recombination event between Cw*0701/0706/0718 and Cw*020202 allele.

Identification of a novel HLA-B allele, HLA-B*3580, with possible implication in transplantation and CTL response.

A new human leukocyte antigen (HLA)-B allele, named B*3580, with an amino acid substitution at residue 156, has been identified during the sequence-based typing of a patient waiting for a hematopoietic cell transplantation.

Renal allograft immune response is influenced by patient and donor cytokine genotypes.

This study investigated the impact of specific cytokine genotypes on the incidence of acute rejection episodes (ARE), chronic graft dysfunction (CGD), and anti-HLA donor-specific antibody (DS-Ab) production in 86 renal transplant recipients and 70 cadaveric donors. A PCR-SSP method was performed for the analysis of polymorphisms in TNF-alpha, IL-6, TGF-beta, IL-10, and IFN-gamma cytokines. DS-Ab monitoring of sera was performed using a FCXM analysis. Observed cytokine frequencies for patients and donors were not significantly different from the expected frequencies under Hardy-Weinberg equilibrium conditions. The evaluation in recipients revealed a higher frequency of DS-Ab-positive patients among the TNF-alpha high (50.0% vs 25.7%), and for the IL-10 cytokine a greater incidence of ARE-positive patients (35.8% vs 18.2%) with the high + intermediate, compared with the low genotype. The combined effect of these 2 genotypes predisposed to DS-Abs (71.4% vs 25.3%; P = 0.02; odds ratio [OR] = 7.37). As for the TGF-beta1 cytokine, we observed a higher number of CGD-positive patients among high compared with intermediate producers (14.3% vs 0%; P = .050). The analysis of donors revealed a significantly lower incidence of ARE-positive patients among recipients whose donors were carriers of the high IL-6 G/G-genotype compared with the G/C+C/C-genotypes (16.7% vs 41.2%; P = .03), suggesting a protective effect of the G/G genotype on ARE and a predisposing role of donor (-174)allele C. In addition, we noted an association between the IFN-gamma low A/A-genotype and a higher incidence of ARE (42.1% vs 0%; P = .002) and DS-Ab production (47.4% vs 12.5%; P = .02) compared with high producers.

CD1a and CD1e allele frequencies in an Italian population from the Abruzzo region.

CD1 is a small family comprising 5 MHC-like genes located on chromosome 1 and encoding glycoproteins termed CD1a, CD1b, CD1c, CD1d and CD1e. They are expressed mainly on the surface of dendritic cells, monocytes and some thymocytes and are specialized in presenting lipid antigens to T lymphocytes. The structure is similar to that of MHC class I molecules with 3 globular domains and the Beta2-microglobulin. It has been shown that all five human CD1 genes exhibit a limited number of polymorphisms in the alpha1 domain whose effects are still unknown. CD1e results to be the most polymorphic isoform with six CD1e alleles (01, 02 in exon 2 and 03, 04, 05, 06 in ex3) described to date. At this moment, few investigations on the allele frequencies of the CD1 genes have been reported and all additional information improves our knowledge on this new class of antigen-presenting molecules. In order to study possible allelic variations of exon 2 of human CD1a and CD1e genes, we analyzed, by a sensitive technique, the sequence-based typing (SBT), 114 DNA samples from unrelated healthy Italian individuals from the Abruzzo region. Our experimental findings indicate that the allele frequency distribution of both CD1a and CD1e genes is in accordance with that observed in other geographic areas and did not identify any new allele, thus confirming a very low polymorphism.

Identification of the uncommon allele HLA-A*7403 in a Caucasian renal transplant cadaveric donor: extension of the exon 4 sequence.

This report describes the unknown exon 4 sequence of the rare A*7403 allele, identified in a Caucasian renal transplant cadaveric donor from Italy. This sequence is identical to that of the only known A*7401 exon 4, and this result allowed us to confirm the hypothesis of the generation of A*7403 allele from the ancestor A*7402 by point mutation in exon 2.

Sequence-based typing characterization of the novel HLA-Cw*1609 allele in the Moroccan Chaouya group.

The novel human leukocyte antigen (HLA)-Cw*1609 allele was identified by sequence-based typing in a Moroccan Chaouya donor. It differs from the closest Cw*1602 by only one nucleotide (C --> G) at position 244 in exon 2 (Glu to Gln at codon 58 in alpha1 domain).

Cytokine levels in amniotic fluid: a marker of preterm labor?

The aim of this study was to determine levels of Interleukin 6 (IL-6) in amniotic fluid at the beginning of the second trimester and to establish whether IL-6 can be used as a marker for premature birth as it would appear to be an important prenatal marker of chorionic inflammation. Thirty-three patients, between 16 and 19 weeks of gestation, who were undergoing amniocentesis to establish the presence or not of fetal genetic pathologies were enrolled into the study. Amniotic fluid (3 ml) was taken from each patient and used to perform enzyme-linked immunosorbent assays (ELISAs). The results were analyzed using the Mann-Whitney test and Pearson and Spearman coefficient. The patients were divided into three groups on the basis of the levels of IL-6 found: a) up to 450 pg/ml; b) between 450 and 900 pg/ml; c) over 900 pg/ml; These data were then evaluated alongside the date of parturition and the presence of any maternal or fetal pathologies. The results of our analyses, however, were inconclusive: levels of IL-6 were normal in patients presenting pathologies while obstetric pathologies were absent in patients with high levels of IL-6. In conclusion, this data would indicate that a different method or approach is required for the identification of a marker for premature birth.