scholarly journals Effect of Saliva Collection Methods on the Detection of Periodontium-Related Genetic and Epigenetic Biomarkers—A Pilot Study

2019 ◽  
Vol 20 (19) ◽  
pp. 4729 ◽  
Author(s):  
Pingping Han ◽  
Sašo Ivanovski
Keyword(s):  
Dna Methylation ◽  
Pilot Study ◽  
Saliva Sample ◽  
Systematic Evaluation ◽  
Epigenetic Factors ◽  
Rna Methylation ◽  
Epigenetic Biomarkers ◽  
Tnf Α ◽  
Saliva Collection ◽  
Collection Methods

Different collection methods may influence the ability to detect and quantify biomarker levels in saliva, particularly in the expression of DNA/RNA methylation regulators of several inflammations and tissue turnover markers. This pilot study recruited five participants and unstimulated saliva were collected by either spitting or drooling, and the relative preference for each method was evaluated using a visual analogue scale. Subsequently, total RNA, gDNA and proteins were isolated using the Trizol method. Thereafter, a systematic evaluation was carried out on the potential effects of different saliva collection methods on periodontium-associated genes, DNA/RNA epigenetic factors and periodontium-related DNA methylation levels. The quantity and quality of DNA and RNA were comparable from different collection methods. Periodontium-related genes, DNA/RNA methylation epigenetic factors and periodontium-associated DNA methylation could be detected in the saliva sample, with a similar expression for both methods. The methylation of tumour necrosis factor-alpha gene promoter from drooling method showed a significant positive correlation (TNF α, r = 0.9) with clinical parameter (bleeding on probing-BOP). In conclusion, the method of saliva collection has a minimal impact on detecting periodontium-related genetic and epigenetic regulators in saliva. The pilot data shows that TNF α methylation may be correlated with clinical parameters.

scholarly journals DNA methylome signatures of prenatal exposure to synthetic glucocorticoids in hippocampus and peripheral whole blood of female guinea pigs in early life

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Aya Sasaki ◽  
Margaret E. Eng ◽  
Abigail H. Lee ◽  
Alisa Kostaki ◽  
Stephen G. Matthews
Keyword(s):  
Dna Methylation ◽  
Whole Blood ◽  
Guinea Pigs ◽  
Critical Role ◽  
Methylation Status ◽  
Peripheral Tissues ◽  
Epigenetic Biomarkers ◽  
Differentially Methylated Genes ◽  
Increased Risk ◽  
Synthetic Glucocorticoids

AbstractSynthetic glucocorticoids (sGC) are administered to women at risk of preterm delivery, approximately 10% of all pregnancies. In animal models, offspring exposed to elevated glucocorticoids, either by administration of sGC or endogenous glucocorticoids as a result of maternal stress, show increased risk of developing behavioral, endocrine, and metabolic dysregulation. DNA methylation may play a critical role in long-lasting programming of gene regulation underlying these phenotypes. However, peripheral tissues such as blood are often the only accessible source of DNA for epigenetic analyses in humans. Here, we examined the hypothesis that prenatal sGC administration alters DNA methylation signatures in guinea pig offspring hippocampus and whole blood. We compared these signatures across the two tissue types to assess epigenetic biomarkers of common molecular pathways affected by sGC exposure. Guinea pigs were treated with sGC or saline in late gestation. Genome-wide modifications of DNA methylation were analyzed at single nucleotide resolution using reduced representation bisulfite sequencing in juvenile female offspring. Results indicate that there are tissue-specific as well as common methylation signatures of prenatal sGC exposure. Over 90% of the common methylation signatures associated with sGC exposure showed the same directionality of change in methylation. Among differentially methylated genes, 134 were modified in both hippocampus and blood, of which 61 showed methylation changes at identical CpG sites. Gene pathway analyses indicated that prenatal sGC exposure alters the methylation status of gene clusters involved in brain development. These data indicate concordance across tissues of epigenetic programming in response to alterations in glucocorticoid signaling.

scholarly journals The Influence of Genetics in Myopia Control: A Pilot Study

2021 ◽  
Vol 10 (4) ◽  
pp. 808
Author(s):  
Cristina Alvarez-Peregrina ◽  
Miguel Ángel Sánchez-Tena ◽  
Clara Martinez-Perez ◽  
Catalina Santiago-Dorrego ◽  
Thomas Yvert ◽  
...  
Keyword(s):  
Pilot Study ◽  
Treatment Response ◽  
Axial Length ◽  
Contact Lenses ◽  
Control Method ◽  
Saliva Sample ◽  
Experimental Studies ◽  
Strong Linkage Disequilibrium ◽  
Student’S T ◽  
Myopia Control

Background: Many epidemiological and experimental studies have established that myopia is caused by a complex interaction between common genetic and environmental factors. The objective of this study was to describe and compare the allelic and genotypic frequencies of the rs524952 (GJD2), rs8000973 (ZIC2), rs1881492 (CHRNG), rs1656404 (PRSS56), rs235770 (BMP2), and rs7744813 (KCNQ5) SNPs (single-nucleotide polymorphism) between responder and nonresponder patients who had undergone a two-year treatment with lenses for myopia control. Method: Twenty-eight participants from the MiSight Assessment Study Spain (MASS), who had received treatment for myopia control for two years with MiSight contact lenses, were examined. The criteria for better/worse treatment response was the change in the axial length (< / ≥ 0.22 mm two years after the treatment). The clinical procedure consisted of the extraction of a saliva sample, and the participants also underwent an optometric examination. Genetic data were analyzed using SNPStats software (Catalan Institute of Oncology, Barcelona, Spain), and statistical analysis was performed using SPSS v.25 (SPSS Inc., Chicago, IL, USA). Demographic variables were analyzed using the Student’s t-test. Results: The T allele, the one with the lowest frequency, of the “rs235770” SNP was associated with a better treatment response [AL/CR (axial length/corneal radius): OR = 3.37; CI = 1.079–10.886; SE (spherical equivalent): OR = 1.26; CI: = 0.519–57.169; p = 0.019). By performing haplotype analysis, significant differences were found between the rs235770…rs1881492 and rs235770–rs1656404 polymorphisms. The latter presented a strong linkage disequilibrium with each other (r2 ≥ 0.54). Conclusion: The result of lens therapies for myopia control could vary depending on genetic variants. Studies with a larger sample are needed to confirm the results presented in this pilot study.

scholarly journals Association of expression of epigenetic molecular factors with DNA methylation and sensitivity to chemotherapeutic agents in cancer cell lines

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Suleyman Vural ◽  
Alida Palmisano ◽  
William C. Reinhold ◽  
Yves Pommier ◽  
Beverly A. Teicher ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Cell Line ◽  
Cell Lines ◽  
Cancer Cell ◽  
Antitumor Agents ◽  
Cancer Cell Lines ◽  
Chemotherapeutic Agents ◽  
Epigenetic Factors ◽  
Expression Of Genes ◽  
Genes Encoding

Abstract Background Altered DNA methylation patterns play important roles in cancer development and progression. We examined whether expression levels of genes directly or indirectly involved in DNA methylation and demethylation may be associated with response of cancer cell lines to chemotherapy treatment with a variety of antitumor agents. Results We analyzed 72 genes encoding epigenetic factors directly or indirectly involved in DNA methylation and demethylation processes. We examined association of their pretreatment expression levels with methylation beta-values of individual DNA methylation probes, DNA methylation averaged within gene regions, and average epigenome-wide methylation levels. We analyzed data from 645 cancer cell lines and 23 cancer types from the Cancer Cell Line Encyclopedia and Genomics of Drug Sensitivity in Cancer datasets. We observed numerous correlations between expression of genes encoding epigenetic factors and response to chemotherapeutic agents. Expression of genes encoding a variety of epigenetic factors, including KDM2B, DNMT1, EHMT2, SETDB1, EZH2, APOBEC3G, and other genes, was correlated with response to multiple agents. DNA methylation of numerous target probes and gene regions was associated with expression of multiple genes encoding epigenetic factors, underscoring complex regulation of epigenome methylation by multiple intersecting molecular pathways. The genes whose expression was associated with methylation of multiple epigenome targets encode DNA methyltransferases, TET DNA methylcytosine dioxygenases, the methylated DNA-binding protein ZBTB38, KDM2B, SETDB1, and other molecular factors which are involved in diverse epigenetic processes affecting DNA methylation. While baseline DNA methylation of numerous epigenome targets was correlated with cell line response to antitumor agents, the complex relationships between the overlapping effects of each epigenetic factor on methylation of specific targets and the importance of such influences in tumor response to individual agents require further investigation. Conclusions Expression of multiple genes encoding epigenetic factors is associated with drug response and with DNA methylation of numerous epigenome targets that may affect response to therapeutic agents. Our findings suggest complex and interconnected pathways regulating DNA methylation in the epigenome, which may both directly and indirectly affect response to chemotherapy.

scholarly journals DNA methylation as predictive marker of response to immunotherapy?

2021 ◽  
Author(s):  
Gerwin Heller
Keyword(s):  
Dna Methylation ◽  
Cancer Treatment ◽  
Treatment Efficacy ◽  
Predictive Marker ◽  
Short Review ◽  
Predictive Markers ◽  
Epigenetic Factors

SummaryImmunotherapy is one of the major breakthroughs in cancer treatment. However, many patients do not benefit from this type of therapy. Thus, there is an urgent need for a strategy to predict treatment efficacy before start of therapy. The role of certain genetic and epigenetic factors as potential predictive markers for response to immunotherapy is discussed in this short review.

scholarly journals Dicer-like proteins influence Arabidopsis root microbiota independent of RNA-directed DNA methylation

Microbiome ◽  
2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Richa Kaushal ◽  
Li Peng ◽  
Sunil K. Singh ◽  
Mengrui Zhang ◽  
Xinlian Zhang ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Cell Wall ◽  
Plant Defense ◽  
Root Exudates ◽  
Rrna Gene ◽  
Epigenetic Factors ◽  
Callose Deposition ◽  
Arabidopsis Root ◽  
Triple Mutation ◽  
Root Microbiota

Abstract Background Plants are naturally associated with root microbiota, which are microbial communities influential to host fitness. Thus, it is important to understand how plants control root microbiota. Epigenetic factors regulate the readouts of genetic information and consequently many essential biological processes. However, it has been elusive whether RNA-directed DNA methylation (RdDM) affects root microbiota assembly. Results By applying 16S rRNA gene sequencing, we investigated root microbiota of Arabidopsis mutants defective in the canonical RdDM pathway, including dcl234 that harbors triple mutation in the Dicer-like proteins DCL3, DCL2, and DCL4, which produce small RNAs for RdDM. Alpha diversity analysis showed reductions in microbe richness from the soil to roots, reflecting the selectivity of plants on root-associated bacteria. The dcl234 triple mutation significantly decreases the levels of Aeromonadaceae and Pseudomonadaceae, while it increases the abundance of many other bacteria families in the root microbiota. However, mutants of the other examined key players in the canonical RdDM pathway showed similar microbiota as Col-0, indicating that the DCL proteins affect root microbiota in an RdDM-independent manner. Subsequently gene analysis by shotgun sequencing of root microbiome indicated a selective pressure on microbial resistance to plant defense in the dcl234 mutant. Consistent with the altered plant-microbe interactions, dcl234 displayed altered characters, including the mRNA and sRNA transcriptomes that jointly highlighted altered cell wall organization and up-regulated defense, the decreased cellulose and callose deposition in root xylem, and the restructured profile of root exudates that supported the alterations in gene expression and cell wall modifications. Conclusion Our findings demonstrate an important role of the DCL proteins in influencing root microbiota through integrated regulation of plant defense, cell wall compositions, and root exudates. Our results also demonstrate that the canonical RdDM is dispensable for Arabidopsis root microbiota. These findings not only establish a connection between root microbiota and plant epigenetic factors but also highlight the complexity of plant regulation of root microbiota.

Methylome of skeletal muscle tissue in patients with hypertension and diabetes undergoing cardiopulmonary bypass

Epigenomics ◽  
2021 ◽  
Author(s):  
Ghazal Aghagoli ◽  
Andrew Del Re ◽  
Naohiro Yano ◽  
Zhiqi Zhang ◽  
Ahmad Aboul Gheit ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Dna Methylation ◽  
Cardiopulmonary Bypass ◽  
Dna Damage Response ◽  
Bypass Surgery ◽  
Heart Surgery ◽  
Minimal Effect ◽  
Uncontrolled Diabetes ◽  
Tnf Α ◽  
Damage Response

Background: Epigenomic changes occurring during surgery have been neglected in research; diabetes and hypertension can affect the epigenome but little is known about the epigenetics of skeletal muscle (SKM). Methods: DNA methylation was profiled via Illumina MethylationEPIC arrays in SKM samples obtained at the beginning and end of heart surgery with cardiopulmonary bypass. Results: Methylation in patients with hypertension and diabetes was significantly different, more so for uncontrolled diabetes; hypertension alone produced minimal effect. The affected pathways involved IL-1, IL-12, IL-18, TNF-α, IFNγ, VEGF, NF-κB and Wnt signaling, apoptosis and DNA damage response. Significant changes occurred during surgery and included loci in the Hippo–YAP/TAZ pathway. Conclusion: Cardiopulmonary bypass surgery affects the SKM methylome, and the combination of hypertension and diabetes induces changes in the SKM epigenome in contrast to hypertension alone.

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