Diagnosis of Ia–Ic stages of serous high-grade ovarian cancerby the lipid profile of blood serum

Background. Ovarian cancer is the first fatal malignancy of the female reproductive system. Early detection is associated with better outcomes, but is significantly difficult because of asymptomatic or low-symptomatic course. Aim. To study the possibility of detecting of OC in early stages (IaIc) by the lipid profile of blood serum obtained using high-performance liquid chromatography with mass spectrometric (MS) detection. Materials and methods. An observational "case-control" study was conducted in period November 2019 July 2020 in the Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology. 41 patients were included: group 1 (main) 28 patients with histologically verified high grade serous ovarian cancer of IIV FIGO stage, group 2 (control) 13 conditionally healthy women. Venous blood samples were collected immediately before the operation. Extracts of serum lipids were obtained in accordance with the modified Folch method. The composition of the samples was analyzed by electrospray ionization MS. Using the method of discriminant analysis and orthogonal projections to latent structures (OPLS-DA) were building OPLS-models based on profile of significant lipids. The comparison based on the non-parametric MannWhitney test. Results. The presence of 128 lipids in blood serum samples makes a major contribution to the OPLS-models, that are different for patients with IIV OC stage and controls. The OPLS-model parameters are: R2=0.87 and Q2=0.80, the area under the ROC curve reached 1, sensitivity and specificity of the model 100%. The second OPLS-model was developed to assign patients to 13 blood serum samples of the control group or to 5 blood samples of patients with I-II stages of OC: 108 lipids made the main contribution to this model (R2=0.97, Q2=0.86). The third OPLS-model was constructed to distinguish patients with earlier (IaIa stages; n=5) and advanced (IIaIVa; n=23) stages: R2=0.96 and Q2=1.00, AUC=0.99. Diglycerides, triglycerides, phosphatidylcholines, ethanolamines, sphingomyelins, ceramides, phosphatidylserines, phosphoinositols and prostaglandins significantly differ in the blood serum samples of patients with IaIc stages of OC and patients with IIIV stages and controls, that indicates the diagnostic value. Conclusion. It is possible to distinguish a healthy person from patient with IaIc or IIIV stages of OC. Serum oncolipids profile obtained by high-performance liquid chromatography with MS detection can be used as markers of early stages of OC, that are associated with better prognosis.

Biomass-Derived Adsorbent for Dispersive Solid-Phase Extraction of Cr(III), Fe(III), Co(II) and Ni(II) from Food Samples Prior to ICP-MS Detection

A biomass-derived adsorbent was simply prepared and applied as efficient and low-cost solid-phase supports. The adsorbent material was characterized by scanning electron microscopy (SEM), energy dispersive spectroscopy (EDS), X-ray diffraction (XRD), surface area analysis and Fourier transform infrared (FTIR) spectroscopy. The amorphous structure of the prepared adsorbent was indicated from the XRD. The prepared adsorbent exhibited surface functional groups such as carbonyl and hydroxyl groups, which enhance the application of DSPE. An accurate separation and preconcentration of Cr(III), Fe(III), Co(II) and Ni(II) prior to ICP-MS detection was achieved using the biomass-derived adsorbent. The extraction process was performed at pH 4 using 1 mL of 0.5 N nitric acid for elution and recovery of ions. The prepared biomass-derived adsorbent showed efficient performance for extraction application, exhibiting a preconcentration factor of 50 and LODs of 1.4, 2.4, 1.9 and 3.0 µg.L−1 for Cr(III), Fe(III), Co(II) and Ni(II), respectively, while the LOQs were reported as 4.1, 7.3, 5.7 and 8.9 µg.L−1 for Cr(III), Fe(III), Co(II) and Ni(II), respectively. The DSPE procedure presented was successfully applied to the determination of the Cr(III), Fe(III), Co(II) and Ni(II) contamination in some food samples.