CD64 Expression on Polymorph Nuclear Cells as a Sensitive and Specific Diagnostic Biomarker for Neonate Pneumonia.

BACKGROUND: Neonatal pneumonia (NP) is one of the major causes of neonatal death. Current NP diagnosis depends on a detailed history, physical examination, and radiographic and laboratory findings. There is no specific biomarker or diagnostic indicator of NP. METHODS: In this study, we tried to find a reliable biomarker for quick NP diagnosis by collecting peripheral blood from neonates with NP and transient tachypnea of the newborn (TTN), and subsequently tested the expression of CD64 on white blood cells using flow cytometry. The cellularity of each blood cell population was also quantified. Furthermore, procalcitonin (PCT) and C-reactive protein (CRP) levels were evaluated in the blood sera. RESULTS: We found that NP patients had moderately increased polymorphonuclear cells (PMNs), as well as elevated PCT and CRP levels in the blood sera. Importantly, the expression of CD64 on PMNs was profoundly increased in NP patients but not TTN patients. The receiver operating characteristic (ROC) curve of PMN CD64 index suggests that PMN CD64 index is sensitive and specific for NP diagnosis. CONCLUSIONS: Our study reveals that PMN CD64 could be a fast and reliable biomarker for NP diagnosis.

Detection of Aflatoxin B1 in Peanut Oil Using Attenuated Total Reflection Fourier Transform Infrared Spectroscopy Combined with Partial Least Squares Discriminant Analysis and Support Vector Machine Models.

ABSTRACT: This study was conducted to establish a rapid and accurate method for identifying aflatoxin contamination in peanut oil. Attenuated total reflection Fourier transform infrared (ATR-FTIR) spectroscopy combined with either partial least squares discriminant analysis (PLS-DA) or a support vector machine (SVM) algorithm were used to construct discriminative models for distinguishing between uncontaminated and aflatoxin-contaminated peanut oil. Peanut oil samples containing various concentrations of aflatoxin B1 were examined with an ATR-FTIR spectrometer. Preprocessed spectral data were input to PLS-DA and SVM algorithms to construct discriminative models for aflatoxin contamination in peanut oil. SVM penalty and kernel function parameters were optimized using grid search, a genetic algorithm, and particle swarm optimization. The PLS-DA model established using spectral data had an accuracy of 94.64% and better discrimination than did models established based on preprocessed data. The SVM model established after data normalization and grid search optimization with a penalty parameter of 16 and a kernel function parameter of 0.0359 had the best discrimination, with 98.2143% accuracy. The discriminative models for aflatoxin contamination in peanut oil established by combining ATR-FTIR spectral data and nonlinear SVM algorithm were superior to the linear PLS-DA models.

Neutrophil CD64: a potential biomarker for the diagnosis of infection in patients with haematological malignancies.

METHODS: The clinical data of 76 patients with haematological malignancies and infection who were treated in our department between January 2014 and October 2019 were retrospectively analysed. To evaluate the diagnostic value of some biomarkers, infection indexes such as white blood cell count (WBC), neutrophil count (NEUT), neutrophil CD64 and procalcitonin (PCT) were compared across the patients with confirmed infection status and infection-control status. Sensitivity, specificity and area under the receiver operating characteristic curve (AUC) were also determined. RESULTS: The WBC and NEUT did not differ significantly, whereas the neutrophil CD64 and PCT levels were significantly elevated in patients with a confirmed infection status (p < 0.05), with sensitivity of 31.0%, 45.2%, 76.2% and 50%, respectively, and specificity of 90.5%, 69%, 71.4% and 64.3%, respectively. The AUC of WBC, NEUT, neutrophil CD64 and PCT was 0.528, 0.517, 0.844 and 0.599, respectively. Further highlighting their diagnostic value, the neutrophil CD64 and PCT levels in neutropenia patients were significantly upregulated in patients with infection status (p < 0.05) but the WBC and NEUT were unchanged, with sensitivity of 73.7%, 63.2%, 68% and 68.4%, respectively, and specificity of 68.4%, 52.6%, 57.9% and 63.2%, respectively. The AUC of neutrophil CD64, PCT, WBC and NEUT was 0.864, 0.593, 0.419 and 0.403, respectively. CONCLUSION: These results indicate that neutrophil CD64 is a promising biomarker with superior sensitivity and specificity for diagnosing infection in patients with haematological malignancies, especially neutropenia patients.

Study of microstructure and fracture properties of blunt notched and sharp cracked high density polyethylene specimens.

This paper examines the effect of a broad range of crosshead speed (0.05 to 100 mm/min) and a small range of temperature (25 °C and 45 °C) on the failure behaviour of high density polyethylene (HDPE) specimens containing a) standard size blunt notch and b) standard size blunt notch plus small sharp crack - all tested in air. It was observed that the yield stress properties showed linear increase with the natural logarithm of strain rate. The stress intensity factors under blunt notch and sharp crack conditions also increased linearly with natural logarithm of the crosshead speed. The results indicate that in the practical temperature range of 25 °C and 45 °C under normal atmosphere and increasing strain rates, HDPE specimens with both blunt notches and sharp cracks possess superior fracture properties. SEM microstructure studies of fracture surfaces showed craze initiation mechanisms at lower strain rate, whilst at higher strain rates there is evidence of dimple patterns absorbing the strain energy and creating plastic deformation. The stress intensity factor and the yield strength were higher at 25 °C compared to those at 45 °C.

[Overexpression of eIF4E gene in acute myeloid leukemia and its relation with disease progression].

The aim of this study was to detect the expression level of eIF4E gene in patients with non-treated, remission and non-remission/relapse acute myeloid leukemia (AML), and other non-malignant haematologic diseases so as to analyze and reveal the relationship of eIF4E gene expression with AML progression. SYBR Green I RT-PCR was used to assay the expression level of eIF4E mRNA extracted from bone marrow mononuclear cells in 30 patients with AML (6 in M2, 5 in M3, 8 in M4, 10 in M5, 1 in M6) and 20 patients with non-malignant hematologic diseases. The ß2-microglubin(ß2M) was used as internal reference and the formula 2(-ΔCt)×100% was applied to calculate the expression level of eIF4E gene. The results showed that the eIF4E expression level (7.098 ± 5.544)% in patients with non-treated and non-remitted/relapsed AML was significantly higher than that in patients with remission (0.964 ± 0.312)% (P < 0.01) and non-malignant hematologic diseases (0.248 ± 0.163)% (P < 0.01). There was no difference between latter two group patients, even though the expression level of eIF4E gene in patients with M4 and M5 was higher. As compared with non-malignant hematologic diseases, the expression level of eIF4E gene of patients with remission patients showed no significant difference. It is concluded that the over-expression of eIF4E gene has been found in patients with AML, and its level obviously decreases along with remission of disease, thus the eIF4E gene may be a surveillance parameter for disease progression.