High frequency of Polio-like Enterovirus C strains with differential clustering of CVA-13 and EV-C99 subgenotypes in a cohort of Malawian children

Enteroviruses (EVs) are among the most commonly detected viruses infecting humans worldwide. Although the prevalence of EVs is widely studied, the status of EV prevalence in sub-Saharan Africa remains largely unknown. The objective of our present study was therefore to increase our knowledge on EV circulation in sub-Saharan Africa. We obtained 749 fecal samples from a cross-sectional study conducted on Malawian children aged 6 to 60 months. We tested the samples for the presence of EVs using real time PCR, and typed the positive samples based on partial viral protein 1 (VP1) sequences. A large proportion of th

High frequency and diversity of parechovirus A in a cohort of Malawian children

Parechoviruses (PeVs) are highly prevalent viruses worldwide. Over the last decades, several studies have been published on PeV epidemiology in Europe, Asia and North America, while information on other continents is lacking. The aim of this study was to describe PeV circulation in a cohort of children in Malawi, Africa. A total of 749 stool samples obtained from Malawian children aged 6 to 60 months were tested for the presence of PeV by real-time PCR. We performed typing by phylogenetic and Basic Local Alignment Search Tool (BLAST) analysis. PeV was found in 57% of stool samples. Age was signifcantly associated with PeV positivity (p = 0.01). Typing by phylogenetic analysis resulted in 15 diferent types, while BLAST typing resulted in 14 diferent types and several indeterminate strains. In total, six strains showed inconsistencies in typing between the two methods. One strain, P02-4058, remained untypable by all methods, but appeared to belong to the recently reclassifed PeV-A19 genotype. PeV-A1, -A2 and -A3 were the most prevalent types (26.8%, 13.8% and 9.8%, respectively). Both the prevalence and genetic diversity found in our study were remarkably high. Our data provide an important contribution to the scarce data available on PeV epidemiology in Africa

Depressive symptoms in outpatients with heart failure: Importance of inflammatory biomarkers, disease severity and personality

Objective:  Depressive symptoms are highly prevalent in heart failure (HF) patients, however the underlying etiology of depression in HF patients remains yet unclear. Hence, the goal is to examine the relative importance of inflammation, disease severity and personality as predictors of depression in HF patients.  Design:  Depressive symptoms (Hospital Anxiety and Depression Scale, depression subscale) were assessed at baseline and one-year follow-up in 268 HF patients (75.6% men; mean age = 66.7 ± 8.7). Markers of inflammation (TNFα, sTNFr1, sTNFr2, IL-6 and IL-10), disease severity (e.g. New York Heart Association (NYHA) classification) and personality (Type D personality, loneliness) were assessed at baseline.  Results:  At baseline, NYHA class, body mass index, educational level, Type D personality and loneliness were significantly associated with depression. Higher NYHA class (B = 2.25; SE = .83), higher educational level (B = 1.41; SE = .48), Type D personality (B = 2.56; SE = .60) and loneliness (B = .19; SE = .05) were also independently associated with higher depression levels at one-year follow-up (all p-values < .005). Inflammation, brain natriuretic peptide and left ventricular ejection fraction were not related to depression over time.  Conclusions:  Personality factors, but not inflammation, were independent concomitants of depressive symptoms in patients with HF. Gaining more insight into the etiology of depression in HF patients is important in order to identify potential targets for novel interventions.Keywords: depression, heart failure, inflammation, disease severity, personality, predictive theoretical model

Positive affect dimensions and their association with inflammatory biomarkers in patients with chronic heart failure

Background In cardiac patients positive affect has found to be associated with improved clinical outcomes, with reduced inflammation being one of the potential mechanisms responsible. Methods Positive affect was assessed using The Global Mood Scale (GMS), Positive and Negative Affect Schedule (PANAS), and Hospital Anxiety and Depression Scale (HADS) in patient with chronic heart failure (N = 210; 67 ± 9 years, 79% men). Markers of inflammation (TNFα, sTNFr1, sTNFr2, IL-6 and CRP) were measured and averaged at three consecutive time points. Results The positive affect dimensions of the GMS and PANAS were significantly associated with lower averaged levels of sTNFr2, TNFα and IL-6 (p < .1), even after adjustment for clinical and lifestyle confounders. Positive affect of the HADS was significantly associated with lower averaged levels of hsCRP (p < .1), but was no longer significant after correction for lifestyle confounders and depressive symptoms. Conclusion Positive affect is associated with reduced inflammation in patients with heart failure. Highlights ► Positive affect constructs (GMS, HADS, PANAS) measure different dimension of positive affect.  ► The association between positive affect and inflammatory biomarkers depends on the construct used.  ► Positive affect is associated with lower averaged levels of sTNFr2, TNFα, IL-6 and hsCRP.  ► Positive affect may thereby induce a health benefit in heart failure patients.  ► One should be cautious when comparing study outcomes which used different types of positive affect

Multiple capsid-stabilizing interactions revealed in a high-resolution structure of an emerging picornavirus causing neonatal sepsis

Microscopic imaging and technolog