Soluble endoglin versus sFlt-1/PlGF ratio: detection of preeclampsia, HELLP syndrome, and FGR in a high-risk cohort.

The angiogenic factors sFlt-1 and PlGF play an established role in the detection of preeclampsia (PE). Recent data suggest that sEng might contribute to the pathogenesis of PE. However, only a few studies so far have addressed its role.This monocentric cross-sectional study of high-risk pregnancies aims to compare the levels of sFlt-1/PlGF ratio and sEng depending on different placental-related adverse pregnancy outcomes. The statistical analysis takes into account Pearson's correlation coefficient between angiogenic factors, the area under the curve estimates (AUCs) for detection, and adjusted odds ratios (aOR) with 95% confidence intervals (95%-CIs). The analysis included 206 patients: 60 controls, 90 PE (59 EOPE, 35 LOPE), 94 FGR, and 35 HELLP cases. Some outcomes overlapped because FGR commonly complicated PE and HELLP syndrome. Serum levels of sFlt-1/PlGF and sEng correlated with each other. Higher levels were observed in HELLP syndrome and EOPE cases. AUCs for sFlt-1/PlGF ratio and sEng were, respectively, 0.915 (95%-Cl 0.87-0.96) and 0.872 (95%-Cl 0.81-0.93) in PE, 0.895 (95%-Cl 0.83-0.96) and 0.878 (95%-Cl 0.81-0.95) in HELLP syndrome, 0.891 (95%-Cl 0.84-0.94), and 0.856 (95%-Cl 0.79-0.92) in FGR.aORsfor sFlt-1/PlGF ratio and sEng were, respectively: 2.69 (95%-Cl 1.86-3.9) and 2.33 (95%-Cl 1.59-3.48) in PE, 2.38 (95%-Cl 1.64-3.44) and 2.28 (95%-Cl 1.55-3.4) in FGR, and 2.10 (95%-Cl 1.45-3.05) and 1.88 (95%-Cl 1.31-2.69) in HELLP syndrome. In addition, the aORs between sFlt-1/PlGF and sEng were very similar but higher for PE and FGR than HELLP syndrome.In conclusion,sEng performed similarly to sFlt-1/PlGF to detect placental dysfunctions.

Prediction of future cardiovascular events by Framingham, SCORE and asCVD risk scores is less accurate in HIV-positive individuals from the HIV-HEART Study compared with the general population.

OBJECTIVES: Cardiovascular diseases (CVDs) occur more often in people living with HIV (PLWH) than in the general population. It has been reported that CVD risk scores developed for the general population underestimate the CVD risk in PLWH. Performances of the Framingham Risk Score (FRS), the Systematic Coronary Risk Evaluation (SCORE) and the atherosclerotic cardiovascular disease (asCVD) risk score in PLWH were compared with the general population to quantify score-specific differences in risk prediction. METHODS: HIV-positive outpatients from the HIV-HEART (HIVH) study (n = 567) were compared with participants from the population-based Heinz Nixdorf Recall (HNR) study (n ~ 4440) both recruited from the German Ruhr area. During a follow-up time of around 5 years, the associations between the FRS and incident CVD and peripheral artery disease (CVD_pAD), SCORE and coronary heart disease (CHD), and asCVD and incident CVD were examined using logistic regression. Score performances were assessed by comparing the areas under the curve (AUCs). RESULTS: The mean ages were 52.9 ± 6.7 and 59.1 ± 7.7 years in the HIVH and HNR studies, respectively. There were fewer incident CVD events in the HNR study than in the HIVH study (CVD_pAD: 3.9% vs. 12.1%; CHD: 2.1% vs. 7.8%; CVD: 3.5% vs. 9.9%). Age- and sex-adjusted CVD risk was greater with increasing FRS, SCORE and asCVD in both cohorts, but the scores performed more accurately in the HNR than in HIVH study (AUCs FRS: 0.71 vs. 0.65; SCORE: 0.70 vs. 0.62; asCVD: 0.74 vs. 0.62). CONCLUSIONS: Associations between risk scores and future CVD were observed in both cohorts, but the score performances were less reliable in PLWH than in the general population.

Virtual staining of colon cancer tissue by label-free Raman micro-spectroscopy.

The great capability of the label-free classification of tissue via vibrational spectroscopy, like Raman or infrared imaging, is shown in numerous publications (review: Diem et al., J. Biophotonics, 2013, 6, 855-886). Herein, we present a new approach, virtual staining, that improves the Raman spectral histopathology (SHP) images of colorectal cancer tissue by combining the integrated Raman intensity image in the C-H stretching region (2800-3050 cm-1) with the pseudo-colour Raman image. This allows the display of fine structures such as the filamentous composition of muscle tissue. The morphology of the virtually stained images is in agreement with the gold standard in medical diagnosis, the haematoxylin-eosin staining. The virtual staining image also represents the whole biochemical fingerprint, and several tissue components including carcinoma were identified automatically with high sensitivity and specificity. For fast tissue classifications, a similar approach was applied on coherent anti-Stokes Raman scattering (CARS) spectral data that is faster and therefore potentially more suitable for clinical applications.