CMV Infection Is Directly Related to the Inflammatory Status in Chronic Heart Failure Patients.

High levels of inflammation play an important role in chronic heart failure (CHF). Patients with CHF have elevated levels of pro-inflammatory cytokines circulating systemically, mainly TNF and IL-6. However, there are almost no studies that relate these levels to the functional status of patients in CHF, much less to their CMV serostatus. In this study, patients with CHF (n=40; age=54.9 ± 6.3; New York Heart Association functional classification (NYHA, I-III) and healthy controls (n=40; age=53.5 ± 7.1) were analyzed. The serum concentrations of nine pro- and anti-inflammatory cytokines were measured by Luminex® xMap Technology and the basal level of mRNA expression of some immune molecules was quantified by TaqMan™ Array in CD4+ T-lymphocytes. The concentration of these cytokines in culture supernatants in response to anti-CD3 and LPS was also measured. The percentage of CD28null T-cells was determined, as well as the antibody titer against CMV. We found a higher concentration of all cytokines studied in CHF serum compared to healthy controls, as well as a direct correlation between functional status in CHF patients and levels of inflammatory cytokines. Moreover, the highest cytokine concentrations were found in patients with higher concentrations of lymphocytes lacking CD28 molecule. The cytokine production was much higher in CMV+ patients, and the production of these cytokines was found mainly in the T-lymphocytes of CMV+ patients in response to anti-CD3. Anti-CMV antibody levels were positively correlated with cytokine levels. The baseline expression of specific mRNA of the main molecules involved in the Th1 response, as well as molecules related to the CD4+CD28 null subset was higher in CMV+ patients. The cytokine concentrations are higher in CHF CMV+ patients and these concentrations are related to the production of antibodies against CMV. These high levels of cytokines are also associated with the more differentiated CD28null lymphocyte populations. All this, together with the dynamics of the pathology itself, makes CMV+ patients present a worse functional status and possibly a worse evolution of the pathology.

Development of an algorithm for the identification of leukemic hematolymphoid neoplasms in Primary Care patients.

BACKGROUND: Diagnosis of hematolymphoid neoplasm (HLN) requires different technologies which are performed on a patient basis instead of per protocol. We hypothesize that integration of hematimetric and cytological analysis along with multiparametric flow cytometry (MFC) provides a framework to evaluate peripheral blood (PB) samples from Primary Care. METHODS: Samples from patients with persistent (>3 months) lymphocytosis (>5 × 109/L) and/or monocytosis (>109/L) or the presence of atypical and/or blast cells upon the smear review were analyzed by MFC concurrent to cytological analysis. MFC studies were carried out following standardized procedures. RESULTS: In a 3-year period, smear review and MFC were performed simultaneously in 350 samples, demonstrating HLN in 194 cases (55.4%). In 156 cases, reactive cell populations were found. The combination of age, absolute lymphocyte count (ALC), hemoglobin and platelets provided the best correlation with MFC for the presence of a chronic lymphoproliferative disorder (CLPD) in lymphocytosis [area under the curve (AUC) 0.891, p < 0.05]. A model evaluating the probability of CLPD has been proposed and validated in an independent cohort. CONCLUSIONS: A strategy to perform MFC studies following standardized procedures has proven to be useful to evaluate samples from patients in Primary Care centers for HLN diagnosis or reactive conditions, providing a sensitive and rapid clinical orientation and avoiding unnecessary consultations in routine clinical practice. The probability for the presence of CLPD in PB can be calculated and help guide decision-making regarding further testing.

Immunologic characterization of COVID-19 patients with hematological cancer.

Not available.

Quantitative approach to determining the contribution of viable-but-nonculturable subpopulations to malolactic fermentation processes.

Different sizes of viable-but-nonculturable cell subpopulations of a lactic acid bacterium strain were induced by adding increasing amounts of SO(2). The experimental data obtained here were fitted to a segregated kinetic model developed previously. This procedure allowed us to determine in quantitative terms the contribution of this physiological state to malolactic fermentation.

Application of flow cytometry to segregated kinetic modeling based on the physiological states of microorganisms.

Flow cytometry (FC) has been introduced to characterize and to assess the physiological states of microorganisms in conjunction with the classical plate-counting method. To show the applicability of the technique, in particular for the development of kinetic models, pure culture fermentation experiments were followed over time, using both prokaryotic (Lactobacillus hilgardii) and eukaryotic (Saccharomyces cerevisiae) microorganisms growing in standard culture media (MRS and YPD). The differences observed between the active and viable cells determined by FC and CFU, respectively, allowed us to determine that a large number of cells were in a viable but nonculturable (VBNC) state, which resulted in a subpopulation much larger than the damaged-cell (double-stained) subpopulation. Finally, the determination of the evolution of viable, the VBNC, and the dead cells allowed us to develop a segregated kinetic model to describe the yeast and the bacteria population dynamics and glucose consumption in batch cultures. This model, more complete than that which is traditionally used, based only on viable cell measurements, describes better the behavior and the functionality of the cultures, giving a deeper knowledge in real time about the status and the course of the bioprocesses.

Use of flow cytometry to follow the physiological states of microorganisms in cider fermentation processes.

The flow cytometry (FC) technique used with certain fluorescent dyes (ChemChrome V6 [CV6], DRAQ5, and PI) has proven useful to label and to detect different physiological states of yeast and malolactic bacterium starters conducting cider fermentation over time (by performing sequential inoculation of microorganisms). First, the technique was tested with pure cultures of both types of microorganisms grown in synthetic media under different induced stress conditions. Metabolically active cells detected by FC and by the standard plate-counting method for both types of microorganisms in fresh overnight pure cultures gave good correlations between the two techniques in samples taken at this stage. Otherwise, combining the results obtained by FC and plating during alcoholic and malolactic fermentation over time in the cider-making process, different subpopulations were detected, showing significant differences between the methods. A small number of studies have applied the FC technique to analyze fermentation processes and mixed cultures over time. The results were used to postulate equations explaining the different physiological states in cell populations taken from fresh, pure overnight cultures under nonstress conditions or cells subjected to stress conditions over time, either under a pure-culture fermentation process (in this work, corresponding to alcoholic fermentation) or under mixed-fermentation conditions (for the malolactic-fermentation phase), that could be useful to improve the control of the processes.