Overcoming challenges in human saliva gene expression measurements.

Saliva, as a non-invasive and easily accessible biofluid, has been shown to contain RNA biomarkers for prediction and diagnosis of several diseases. However, systematic analysis done by our group identified two problematic issues not coherently described before: (1) most of the isolated RNA originates from the oral microbiome and (2) the amount of isolated human RNA is comparatively low. The degree of bacterial contamination showed ratios up to 1:900,000, so that only about one out of 900,000 RNA copies was of human origin, but the RNA quality (average RIN 6.7 + /- 0.8) allowed for qRT-PCR. Using 12 saliva samples from healthy donors, we modified the methodology to (1) select only human RNA during cDNA synthesis by aiming at the poly(A)+-tail and (2) introduced a pre-amplification of human RNA before qRT-PCR. Further, the manufacturer's criteria for successful pre-amplification (Ct values ≤ 35 for unamplified cDNA) had to be replaced by (3) proofing linear pre-amplification for each gene, thus, increasing the number of evaluable samples up to 70.6%. When considering theses three modifications unbiased gene expression analysis on human salivary RNA can be performed.

Pitfalls in the laboratory assessment of serum prealbumin levels in hemato-oncological patients.

BACKGROUND: To highlight specific aspects of serum prealbumin measurements in hemato-oncological patients. METHODS: Retrospective analysis of 4911 serum prealbumin measurements with special attention to values from hemato-oncological Intensive Care Units (ICU) patients. RESULTS: Prealbumin serum levels in hemato-oncological ICU patients (n = 530) were significantly higher when compared to other ICU cohorts (p < 0.0001). Their prealbuminemia did not correlate with serum albumin (p = 0.104) and was not affected by serum cholesterol or triglycerides (p = 0.076 and p = 0.430, respectively). Surprisingly, serum prealbumin has shown a positive correlation with cyclosporine in whole blood levels (r = 0.269, p = 0.010). CONCLUSIONS: A supposed explanation for our findings probably lies in a combination of several factors, including interference with the analysis itself and contamination or possible interference with the medication, e.g., cyclosporine. The prealbumin values do not reflect the actual nutritional state and cannot be regarded as a useful marker of malnutrition in these patients.

Evaluation of 5-year imatinib treatment of 458 patients with CP-CML in routine clinical practice and prognostic impact of different BCR-ABL cutoff levels.

We evaluated responses to the treatment and long-term outcomes of chronic myeloid leukemia patients treated with imatinib as first-line treatment in routine clinical setting from two countries with centralized tyrosine kinase inhibitors (TKIs) treatment. We assessed prognostic significance of European LeukemiaNet (ELN) 2006- and 2009-defined responses and the prognostic value of molecular responses at defined time points on 5-year survivals. Among the cumulative rates of incidence of hematologic, cytogenetic, and molecular responses and all important survival parameters, we evaluated the prognostic significance of different BCR-ABL transcript-level ratios (≤1%; >1%-≤10%; >10%) at 3, 6, 12, and 18 months (n = 199). The ELN optimal response criteria and their predictive role were significantly beneficial for event-free survival at all given time points. We found significant improvement in survivals of patients with BCR-ABL lower than 10% in the 6th and 12th months. Significantly better outcome was found in patients who achieved major molecular response (MMR) in the 12th month. The cumulative incidences of complete cytogenetic response (CCyR) and MMR were significantly associated with the molecular response in the 3rd month. The ELN response criteria and their predictive role were helpful at given time points; however, the 2009 definition did not significantly alter the prognostic accuracy compared with that of the 2006 definition. The significant value was observed for cytogenetic responses at the 6th and 12th month. Moreover, progression-free and event-free survivals were improved with MMR at the 12th month.

Significantly higher procalcitonin levels could differentiate Gram-negative sepsis from Gram-positive and fungal sepsis.

Procalcitonin (PCT) levels can distinguish between infectious and non-infectious systemic inflammatory response. However, there are some differences between Gram-negative (G-), Gram-positive (G+), and fungal bloodstream infections, particularly in different cytokine profiles, severity and mortality. The aim of current study was to examine whether PCT levels can serve as a distinguishing mark between G+, G-, and fungal sepsis as well. One hundred and sixty-six septic patients with positive blood cultures were examined on C-reactive protein (CRP) and PCT on the same date of blood culture evaluation. The median (interquartile range, IQR) of CRP and PCT in G+, G-, and fungal cohorts and comparison of measured values between groups were made using the Kruskal-Wallis test with subsequent Bonferroni's corrections, with p < 0.05. In 83/166 (50 %) of blood cultures, G+ microbes, 78/166 (47 %) G- rods, and 5/166 (3 %) fungi were detected. PCT concentrations (ng/ml) were significantly higher in G- compared to other cohorts: 8.90 (1.88; 32.60) in G-, 0.73 (0.22; 3.40) in G+, and 0.58 (0.35; 0.73) in fungi (p < 0.00001). CRP concentrations did not differ significantly in groups. Significantly higher PCT levels could differentiate G- sepsis from G+ and fungemia. In contrast to CRP, PCT is a good discriminative biomarker in different bloodstream infections.