CAR, mGPS and hs-mGPS: What is among them the best gero-biomarker for age-related diseases? And for what clinical application?

The identification of biomarkers linked to the onset, progression, and prevention of age-related diseases (ARD), in the era of personalized medicine, represents the best goal of geroscience. Geroscience has the fundamental role of exploring and identifying the biological mechanisms of aging to suggest interventions capable of stopping/delaying the many pathological conditions and disabilities related to age. Therefore, it has become its key priority, as well as that of clinical practice and research, based on identifying and validating a range of biomarkers, geromarkers, which can be used to diagnostic, prognostic, or predictive clinical purposes. Indeed, geromarkers have, the potential to predict ARD trajectories and facilitate targeted interventions to slow down the related disabilities. Here our attention is paid to the inflammatory indexes (CAR, mGPS, hs-mGPS) linked to the relationship between the plasma levels of two inflammatory analytes, the typical positive protein of the acute phase, and the negative one, i.e. c-reactive protein (CRP) and albumin, respectively. These indexes allow us to understand the magnitude of the two main mechanisms predicted to influence the aging process, including inflammation and immunosenescence, as well as the degree of ARD severity. Evidence on their relationship with ARD is widely reported and discussed, to understand which can represent the best ARD geromarker, and its clinical application.

Allogeneic mesenchymal stromal cells: Novel therapeutic option for mutated FLNA-associated respiratory failure in the pediatric setting.

BACKGROUND: Mesenchymal stromal cell (MSC)-mediated therapeutic effects have been observed in the treatment of lung diseases. For the first time, this treatment was used as rescue therapy in a pediatric patient with a life-threatening respiratory syndrome associated with the filamin A (FLNA) gene mutation. METHODS: A child with a new pathogenic variant of the FLNA gene c.7391_7403del (p.Val2464AlafsTer5), at the age of 18 months, due to serious and irreversible chronic respiratory failure, was treated with repeated intravenous infusions of allogeneic bone marrow (BM)-MSCs. The child's respiratory condition was monitored. Immunologic studies before each MSC treatment were performed. RESULTS: No acute adverse events related to the MSC infusions were observed. After the second infusion, the child's respiratory condition progressively improved, with reduced necessity for mechanical ventilation support. A thorax computed tomography (CT) scan showed bilateral recovery of the basal parenchyma, anatomical-functional alignment and aerial penetration improvement. After the first MSC administration, an increase in Th17 and FoxP3+ T percentages in the peripheral blood was observed. After the second MSC infusion, a significant rise in the Treg/Th17 ratio was noted, as well as an increased percentage of CD20+ /CD19+ B lymphocytes and augmented PHA-induced proliferation. DISCUSSION: MSC infusions are a promising therapeutic modality for patients in respiratory failure, as observed in this pediatric patient with an FLNA mutation. MSCs may have an immunomodulatory effect and thus mitigate lung injury; although in this case, MSC antimicrobial effects may have synergistically impacted the clinical improvements. Further investigations are planned to establish the safety and efficacy of this treatment option for interstitial lung diseases in children.

The role of flow cytometric immunophenotyping in myelodysplastic syndromes.

The myelodysplastic syndromes (MDSs) are a group of heterogeneous hematological disorders characterized by bilineage or trilineage dysplastic morphology, abnormal clonal populations, progressive bone marrow failure, and a high rate of transformation to acute myeloid leukemia. A combination of morphology, to detect multilineage dysplasia in the bone marrow and peripheral blood, and cytogenetics to detect characteristic clonal abnormalities, is used in establishing a diagnosis of MDS. Although diagnostic criteria are well established, a significant number of patients have blood and bone marrow findings that make diagnosis and classification difficult. Flow cytometric immunophenotyping is an accurate and highly sensitive method for quantitative and qualitative evaluation of hematopoietic cells in the different maturative compartments, and several groups have used flow cytometry in the study of MDSs. Findings of recent studies suggest that flow cytometry immunophenotyping might provide useful information in the diagnosis and the management of MDS patients.

Bone marrow B lymphocytes in multiple myeloma and MGUS: Focus on distribution of naïve cells and memory subsets.

BACKGROUND/AIMS: Multiple myeloma (MM) is caused by proliferation of clonal plasma cells (cPCs) in bone marrow (BM), associated with numerical and functional defects in immune subsets. An impairment of B cell compartment is involved in onset/progression of the disease. METHODS: By flow cytometry, we studied distribution of naïve/transitional (IgD(+)CD27(-)), memory unswitched (IgD(+)CD27(+)), memory switched (IgD(-)CD27(+)) and double negative (DN) (IgD(-)CD27(-)) B lymphocytes in BM of control subjects, and responding and relapsing patients. RESULTS: We observed an increased percentage of IgD(+)CD27(+) B cells in healthy controls vs responding patients (p<0.05). Treated non complete responders exhibited an expanded DN compartment vs stringent complete responders (p=0.011); in turn IgD(+)CD27(-) subpopulation was larger in stringent complete responders vs other responding patients (p=0.006). None of the studied B cell subsets showed clonal restriction. Correlation analysis revealed negative correlations between naïve/transitional and DN B cells in all groups, except in newly diagnosed subjects. CONCLUSIONS: This may be considered a feasible start point to explore the importance of B cells in the immunosuppressive MM BM microenvironment, correlating these findings with immunosenescence and therapy related increased risk of infection. Moreover, we propose a possible role of naïve/transitional and DN B cells as predictive markers in treated patients.

Flow cytometric immunophenotyping analysis of patterns of antigen expression in non-Hodgkin's B cell lymphoma in samples obtained from different anatomic sites.

Multiparametric clinical flow cytometry has evolved from two-parameter quantitative assessment of lymphocytes to assessment of many qualitative parameters of suspensions obtained from bone marrow, peripheral blood, and lymph nodes for hematopathology. Nowadays, lymphoma immunophenotyping is a necessary complement to morphology and molecular parameters in the diagnosis and monitoring of human hematopoietic malignancies. The aim of the present study was to determine whether immunophenotypic differences could be used to distinguish between non-Hodgkin's B cell lymphoma (NHL-B) and the normal B cell subpopulation by assessing the variability in the patterns of expression of some lymphoid antigens (CD5, CD19, FMC7, CD23, CD20, CD79b, CD38, CD22, CD10, sIgkappa, sIglambda, mIgA, mIgG, mIgM, and mIgD) in specimens obtained from patients with NHL-B. We have studied peripheral blood samples, lymph node suspensions, and bone marrow specimens from 20 patients with malignant lymphoma and from controls without oncohematologic disease. Some patients showed stable patterns of antigen expression that remained unchanged over time and were consistent from one specimen to another. Other patients showed more variability in the pattern of antigen expression from different specimens. The two-way cluster analysis of antigens revealed three patterns of expression: (1) most cells in most cases positive (CD5, CD19, CD20, CD23, CD45); (2) most cells in most cases negative (CD10, mIgG, CD22, CD23,CD38); and (3) a mixed pattern with a variable number of positive cases and a variable percentage of positive cells in individual cases (CD22, CD38, CD79b, FMC7, mIgD, mIgM, mIgA, mIgG, sIgkappa, sIglambda). The expression of several antigens was strongly interdependent, even when antigens belonged to entirely different gene families. Such antigen pairs were CD19/CD45; CD19/CD79b; CD23/Igkappa; and CD45/CD79b. Our results suggest that different factors may determine the stability or the variability of such multiantigen expression, particularly the biology and function of the different antigens and the mechanisms of disease dissemination and progression.