Multimarker risk stratification approach at multiple sclerosis onset.

Delay in the diagnosis of multiple sclerosis (MS) stems from the lack of specific clinical and analytical markers to assist in the early diagnosis and prediction of progressive course. We propose a decision-tree model that better defines early at onset MS patients and those with the progressive form by analysing a 12-biomarkers panel in serum and CSF samples of patients with MS, other neurological diseases (OND) and healthy contols. Thus, patients at onset of neurological disease were first classified by serum IL-7 levels <141pg/ml (OR=6.51, p<0.001). Combination of IL-7 and CXCL10 indicated risk for a specific MS clinical form, where IL-7<141 and CXCL10<570pg/ml were associated with the highest risk for PP-MS (OR=22, p=0.01). Unexpectedly, both PP-MS and RR-MS patients shared significantly decreased prototypical biomarkers of inflammation and tissue regeneration in CSF than OND suggesting a defective intrinsic immune response playing a role at the beginning of the disease.

Plasma biomarkers discriminate clinical forms of multiple sclerosis.

Multiple sclerosis, the most common cause of neurological disability in young population after trauma, represents a significant public health burden. Current challenges associated with management of multiple sclerosis (MS) patients stem from the lack of biomarkers that might enable stratification of the different clinical forms of MS and thus prompt treatment for those patients with progressive MS, for whom there is currently no therapy available. In the present work we analyzed a set of thirty different plasma cytokines, chemokines and growth factors present in circulation of 129 MS patients with different clinical forms (relapsing remitting, secondary progressive and primary progressive MS) and 53 healthy controls, across two independent cohorts. The set of plasma analytes was quantified with Luminex xMAP technology and their predictive power regarding clinical outcome was evaluated both individually using ROC curves and in combination using logistic regression analysis. Our results from two independent cohorts of MS patients demonstrate that the divergent clinical and histology-based MS forms are associated with distinct profiles of circulating plasma protein biomarkers, with distinct signatures being composed of chemokines and growth/angiogenic factors. With this work, we propose that an evaluation of a set of 4 circulating biomarkers (HGF, Eotaxin/CCL11, EGF and MIP-1ß/CCL4) in MS patients might serve as an effective tool in the diagnosis and more personalized therapeutic targeting of MS patients.

Experience in IVIg therapy for selected women with recurrent reproductive failure and NK cell expansion.

PROBLEM: Recurrent reproductive failure (RRF) has been associated with expansion of circulating NK cells, key cells for maternal tolerance, decidual vasculogenesis and embryo growth. This study reports our experience in intravenous immunoglobulin (IVIg) therapy of a large cohort of women with RRF with expanded circulating NK and/or NKT-like cells (blood NKT cells are a heterogeneous subset of T cells that share properties of both T cells and NK cells). METHOD OF STUDY: Observational study of RRF women with NK or NKT-like expansion (>12% or 10% cutoff levels of total lymphocytes, respectively), treated with IVIg for the next gestation. RESULTS: By multivariant logistic regression analysis after adjusting for age, NK cells subsets and other therapies, IVIg significantly improved the live birth rate to 96.3% in women with recurrent miscarriage (RM) compared with 30.6% in case not receiving IVIg (P < 0.0001). In women with recurrent implantation failure (RIF), in comparison with women not receiving IVIg, treatment increased the pregnancy rate from 26.2 to 93.8% (P ≤ 0.0001) and the live birth rate from 17.9 to 80.0% in RIF (P ≤ 0.0001). CONCLUSIONS: Immunomodulation with IVIg in our selected group of RRF patients with immunologic alterations enhanced clinical pregnancy and live birth rates. Our results may facilitate the design of future clinical trials of IVIg in this pathology.

New decision-tree model for defining the risk of reproductive failure.

PROBLEM: Natural killer (NK) cells play a key role in embryo implantation and pregnancy success, whereas blood and uterine NK expansions have been involved in the pathophysiology of reproductive failure (RF). Our main goal was to design in a large observational study a tree-model decision for interpretation of risk factors for RF. METHODS OF STUDY: A hierarchical multivariate decision model based on a classification and regression tree was developed. NK and NKT-like cell subsets were analyzed by flow cytometry. RESULTS: By multivariate analysis, blood NK cells expansion was an independent risk factor for RF (both recurrent miscarriages and implantation failures). We propose a new decision-tree model for the risk interpretation of women with RF based on a combination of main risk factors. CONCLUSIONS: Women with age above 35 years and >13% CD56⁺CD16⁺ NK cells showed the highest risk of further pregnancy loss (100%).