Objective. To assess salivary gland tissues obtained from patients with primary Sjögren's syndrome (SS) for the gene expression profile of the candidate genes TNFRSF6 (Fas), TNFSF6 (FasL), SSA1 (Ro52␣ and the splice variant Ro52), SSB (La), CTLA4, PDCD1 (PD-1), and ORM2, which were selected on the basis of their putative participation in salivary gland inflammation.Methods. Quantitative real-time reverse transcriptase-polymerase chain reaction (RT-PCR) was used to examine the expression of messenger RNA (mRNA). Tissue localization of the expressed proteins was detected by immunohistochemistry.Results. Expression of mRNA was increased for Fas (5.1-fold; P < 0.001), FasL (8.8-fold; P < 0.05), cytotoxic T lymphocyte-associated antigen 4 (CTLA-4) (11.2-fold; P < 0.01), programmed cell death 1 (PD-1) (15.2-fold; P < 0.05), Ro52␣ (3.0-fold; P < 0.01), La (2.3-fold; P < 0.05), and orosomucoid 2 (ORM2) (4.4-fold; P < 0.05) in patients compared with controls when GAPDH was used as endogenous standard in duplex runs. In single runs using 2 other endogenous standards (18S and -actin), statistically significant differences between patients and controls were confirmed for expression of Fas, FasL, CTLA-4, and PD-1, but this difference was not observed for Ro52␣, La, and ORM2. Expression of Ro52 mRNA was similar in patients and controls.Conclusion. The present study demonstrates a substantial increase in expression of the negative regulator molecules PD-1 and CTLA-4 and the apoptotic signal molecules Fas and FasL in patients with primary SS compared with controls, which corresponded to the immunomorphologic pattern. The results strongly indicate that these molecules have central roles in the inflammatory process in the salivary glands of patients with primary SS.
Time-dependent variations in clock gene expression have recently been observed in mouse hematopoietic cells, but the activity of these genes in human bone marrow (BM) has so far not been investigated. Since such data can be of considerable clinical interest for monitoring the dynamics in stem/progenitor cells, the authors have studied mRNA expression of the clock genes hPer1 , hPer2, hCry1, hCry2, hBmal1, hRev-erb alpha, and hClock in human hematopoietic CD34-positive (CD34( +)) cells. CD34(+) cells were isolated from the BM samples obtained from 10 healthy men at 6 times over 24 h. In addition, clock gene mRNA expression was analyzed in the whole BM in 3 subjects. Rhythms in serum cortisol, growth hormone, testosterone, and leukocyte counts documented that subjects exhibited standardized circadian patterns. All 7 clock genes were expressed both in CD34(+) cells and the whole BM, with some differences in magnitude between the 2 cell populations. A clear circadian rhythm was shown for hPer1, hPer2, and hCry2 expression in CD34(+) cells and for hPer1 in the whole BM, with maxima from early morning to midday. Similar to mouse hematopoietic cells, h Bmal1 was not oscillating rhythmically. The study demonstrates that clock gene expression in human BM stem/progenitor cells may be developmentally regulated, with strong or weaker circadian profiles as compared to those reported in other mature tissues.
Cell-free microRNAs have been reported as biomarkers for several diseases. For testicular germ cell tumors (GCT), circulating microRNAs 371a-3p and 372-3p in serum and plasma have been proposed as biomarkers for diagnostic and disease monitoring purposes. The most widely used method for quantification of specific microRNAs in serum and plasma is reverse transcriptase real-time quantitative PCR (RT-qPCR) by the comparative Ct-method. In this method one or several reference genes or reference microRNAs are needed in order to normalize and calculate the relative microRNA levels across samples. One of the pitfalls in analysis of microRNAs from serum and plasma is the release of microRNAs from blood cells during hemolysis. This is an important issue because varying degrees of hemolysis are not uncommon in routine blood sampling. Thus, hemolysis must be taken into consideration when working with circulating microRNAs from blood. miR-93-5p, miR-30b-5p, and miR-20a-5p have been reported as reference microRNA in analysis of the miR-371a-373 cluster. We here show how these three microRNAs are influenced by hemolysis. We also propose a new reference microRNA, miR-191-5p, which is relatively stable in serum samples with mild hemolysis. In addition, we show how hemolysis can have effect on the reported microRNA levels in patient samples when these reference microRNAs are used in samples with varying levels of hemolysis.
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