Histone Methylation: Achilles Heel and Powerful Mediator of Periodontal Homeostasis

The packaging of DNA around nucleosomes exerts dynamic control over eukaryotic gene expression either by granting access to the transcriptional machinery in an open chromatin state or by silencing transcription via chromatin compaction. Histone methylation modification affects chromatin through the addition of methyl groups to lysine or arginine residues of histones H3 and H4 by means of histone methyl transferases or histone demethylases. Changes in histone methylation state modulate periodontal gene expression and have profound effects on periodontal development, health, and therapy. At the onset of periodontal development, progenitor cell populations such as dental follicle cells are characterized by an open H3K4me3 chromatin mark on RUNX2, MSX2, and DLX5 gene promoters. During further development, periodontal progenitor differentiation undergoes a global switch from the H3K4me3 active methyl mark to the H3K27me3 repressive mark. When compared with dental pulp cells, periodontal neural crest lineage differentiation is characterized by repressive H3K9me3 and H3K27me3 marks on typical dentinogenesis-related genes. Inflammatory conditions as they occur during periodontal disease result in unique histone methylation signatures in affected cell populations, including repressive H3K9me3 and H3K27me3 histone marks on extracellular matrix gene promoters and active H3K4me3 marks on interleukin, defensin, and chemokine gene promoters, facilitating a rapid inflammatory response to microbial pathogens. The inflammation-induced repression of chromatin on extracellular matrix gene promoters presents a therapeutic opportunity for the application of histone methylation inhibitors capable of inhibiting suppressive trimethylation marks. Furthermore, inhibition of chromatin coregulators through interference with key inflammatory mediators such as NF-kB by means of methyltransferase inhibitors provides another avenue to halt the exacerbation of the inflammatory response in periodontal tissues. In conclusion, histone methylation dynamics play an intricate role in the fine-tuning of chromatin states during periodontal development and harbor yet-to-be-realized potential for the treatment of periodontal disease.

Expression pattern of key microRNAs in patients with newly diagnosed chronic myeloid leukemia in chronic phase

INTRODUCTION

Chronic myeloid leukemia (CML) is caused by reciprocal translocation in hematopoietic stem cells (HSCs). This translocation forms the BCR-ABL1 oncogene, which alters several signaling pathways that control malignancy. CML has three phases: chronic, accelerated, and blast crisis. The microRNAs (miRNAs or miRs) are noncoding RNAs that downregulate their target gene by targeting 3' UTR of mRNA or through translational inhibition. It has been shown that miRNAs regulate many biological processes, and dysregulation of these regulatory RNAs is involved in disease development, particularly in cancer. The important role of miRNAs as therapeutic agents and biomarkers has been demonstrated in CML patients at different phases of the disease.

METHODS

Stem-loop reverse transcription polymerase chain reaction was used to characterize differentially expressed miRNAs of leukocytes in the peripheral blood of 50 newly diagnosed CML patients in chronic phase.

RESULTS

Some onco-miRNAs were found to be downregulated (miR-155 and miR-106), and some tumor suppressor miRs (miR-16-1, miR-15a, miR-101, miR-568) were upregulated.

CONCLUSION

These results show that very few miRNAs alone would be good candidates for CML diagnosis independently of conflicting results, but together could be an additional tool for CML diagnosis. Moreover, miRNAs might be good candidates for prognosis prediction and CML therapy.

Posttransplant soluble CD30 as a predictor of acute renal allograft rejection

BACKGROUND

Recent results have indicated that high prerenal and postrenal transplant soluble CD30 levels may be associated with an increased acute rejection and graft loss. The aim of this study was to evaluate the feasibility of using serum sCD30 as a marker for predicting acute graft rejection.

MATERIALS AND METHODS

In this prospective study,we analyzed clinical data of 80 patients, whose pretransplant and posttransplant serum levels of sCD30 were detected by enzyme-linked immunoassay. Eight patients developed acute rejection, 7 patients showed delayed graft function, and 65 recipients experienced an uncomplicated course group. The patients were followed for 12 months, and there were no deaths.

RESULTS

Preoperative sCD30 levels of 3 groups were 96.2 -/+ 32.5, 80.2 -/+ 28.3, and 76.8 -/+ 29.8 U/mL (P = .28). After transplant, a significant decrease in the sCD30 level was detected in 3 groups on day 14 posttransplant (P < .001), while sCD30 levels of acute rejection group remained significantly higher than delayed graft function and nonrejecting patients (28.3 -/+ 5.2, 22.1 -/+ 3.2, and 19.8 -/+ 4.7 U/mL) (P = .02). Positive panel reactive antibody was not statistically different among groups (P = .05). Also, hemodialysis did not affect sCD30 levels (P = .05). Receiver operating characteristic curve demonstrated that the sCD30 level on day 14 posttransplant could discriminate patients who subsequently suffered acute allograft rejection (area under receiver operating characteristic curve, 0.95). According to receiver operating characteristic curve, 20 U/mL may be the optimal operational cutoff level to predict impending graft rejection (specificity 93.8%, sensitivity 83.3%).

CONCLUSIONS

Measurement of the soluble CD30 level on day 14 after transplant might offer a noninvasive means for recognizing patients at risk of acute graft rejection during the early posttransplant period.