Correlations between biomarkers of senescent cell accumulation at the systemic, tissue and cellular levels in elderly patients.

The aim of the study was to investigate the relationship between established clinical systemic biomarkers of ageing and the development of age-associated diseases and senescent cell biomarkers at tissue and cellular levels. Thirty-eight patients (mean age 70 ± 4.9 years) who were assessed for traditional risk factors for cardiovascular diseases were included. From all patients we obtained biomaterials (peripheral blood, skin, subcutaneous fatty tissue) and isolated different cell types (peripheral blood mononuclear cells (PBMC), fibroblasts (FB) and mesenchymal stem/stromal cells (MSC)). Isolated cells were analyzed using several senescent cells biomarkers such as telomere length and telomerase activity, proliferation rate, cell cycle inhibitor expression (p16 and p21), b-galactosidase activity, gH2AX expression. CD34+ cell content in peripheral blood was determined by flow cytometry. Systemic senescent cell-associated factors (insulin-like growth factor 1 (IGF-1), fibroblast growth factor 21 (FGF-21), osteoprogerin, ferritin, soluble vascular cell adhesion molecule (VCAM-1), intercellular adhesion molecule 1 (ICAM-1)) in peripheral blood as well as senescence-associated secretory phenotype (SASP) components in MSC and FB secretome were evaluated by ELISA. Skin and adipose tissue biopsy samples were analyzed histologically to assess senescent cell markers. A strong significant association of tissue p16 expression with age (r = 0.600, p < 0.001), pulse wave velocity (PWV) (r = 0.394, p = 0.015), vascular cell adhesion molecule (VCAM-1) content (r = 0.312, p = 0.006) in the systemic blood stream and p16 mRNA level in the blood mononuclear cells (MNCs) (r = 0.380, p = 0.046) were confirmed by correlation analysis. Statistically significant correlations were found with indicators of FBs and MSCs proliferation in culture and acquisition of SASP by the cells. Thus, p16 expression in tissues correlated significantly with interleukin-6 (IL-6) (r = 0.485, p < 0.05) and monocyte chemoattractant protein type 1 (MCP-1) (r = 0.372, p < 0.05) secretion by isolated cells. The results of regression analysis confirmed that, regardless of age, the expression of p16 was associated with the proliferation of isolated cells and IL-6 within SASP. Based on these findings, two models have been proposed to predict the level of p16 expression in tissues from the levels of other markers of senescent cell accumulation determined by non-invasive methods and available in clinical practice.

Direct comparison of QIAamp DSP Virus Kit and QIAamp Circulating Nucleic Acid Kit regarding cell-free fetal DNA isolation from maternal peripheral blood.

BACKGROUND: Blood of pregnant women contains cell-free fetal DNA (cffDNA), which is widely used in non-invasive prenatal diagnosis. The modern laboratory equipment market provides huge variety of commercial kits for isolation of circulating nucleic acids, but unfortunately none of them are standardized for isolation of cffDNA, which is a crucial step for success of subsequent analysis. AIM: To compare DSPVK and CNAK in terms of cffDNA, cell-free total DNA (cftDNA) yield and resulting cffDNA fraction, as well as to try to explain the possible difference between the efficacy of these kits. METHODS: Peripheral blood samples were collected from 18 healthy pregnant women (6th-14th week of pregnancy) and from 12 healthy unpregnant subjects. cftDNA was isolated using QIAamp Circulating Nucleic Acid Kit (CNAK) (Qiagen, Germany) and QIAamp DSP Virus Kit (DSPVK) (Qiagen, Germany) from 1 ml of plasma of each sample. Methylation-sensitive restriction was carried out to isolate cffDNA. Yield of cffDNA and cftDNA was quantified using digital PCR. To explain the difference in resulting efficacy of these two kits PCR inhibitors analysis was performed, as well as the optimal plasma input for DSPVK was investigated. RESULTS: Yield of cffDNA using CNAK was statistically significantly higher than using DSPVK (167.62 (125.34-192.47) vs 52.88 (35.48-125.42) GEq/mL, p < 0.001). The same applies to cftDNA yield, CNAK appears to be statistically significantly superior to DSPVK (743.42 (455.02-898.33) vs 371.07 (294.37-509.89) GEq/mL, p < 0.001). cffDNA fraction using CNAK was also higher than using DSVPK (24.75 (14.5-31.53) vs 14.20 (6.88-25.83) %, p = 0.586), although the difference was not statistically significant due to inconsistency of DSPVK results from sample to sample. PCR inhibitors analysis uncovered increased amount of PCR inhibitors in CNAK cftDNA solution, compared to DSPVK (p = 0.002). Usage of 0.5 mL of plasma for cftDNA extraction with DSPVK over 1 mL demonstrates almost 1.8 times higher cftDNA output (p = 0.028), which suggests that this kit is not so viable for volumes of plasma larger than 0.5 mL. CONCLUSIONS: We recommend CNAK over DSPVK for quantitative analysis of cffDNA. Nevertheless, DSPVK is definitely suitable for qualitative analysis as well as for research with limited budget, since it is almost 3 times cheaper than CNAK.