Adipose tissue DNA methylome changes in development of new-onset diabetes after kidney transplantation

Genetic and Epigenetic Associations with Post-Transplant Diabetes Mellitus

Post-transplant diabetes mellitus (PTDM) is a common complication of solid organ transplantation. PTDM prevalence varies due to different diabetes definitions. Consensus guidelines for the diagnosis of PTDM have been published based on random blood glucose levels, glycated hemoglobin (HbA1c), and oral glucose tolerance test (OGTT). The task of diagnosing PTDM continues to pose challenges, given the potential for diabetes to manifest at different time points after transplantation, thus demanding constant clinical vigilance and repeated testing. Interpreting HbA1c levels can be challenging after renal transplantation. Pre-transplant risk factors for PTDM include obesity, sedentary lifestyle, family history of diabetes, ethnicity (e.g., African-Caribbean or South Asian ancestry), and genetic risk factors. Risk factors for PTDM include immunosuppressive drugs, weight gain, hepatitis C, and cytomegalovirus infection. There is also emerging evidence that genetic and epigenetic variation in the organ transplant recipient may influence the risk of developing PTDM. This review outlines many known risk factors for PTDM and details some of the pathways, genetic variants, and epigenetic features associated with PTDM. Improved understanding of established and emerging risk factors may help identify people at risk of developing PTDM and may reduce the risk of developing PTDM or improve the management of this complication of organ transplantation.

Emerging technologies in adipose tissue research

Technologies are transforming the understanding of adipose tissue as a complex and dynamic tissue that plays a critical role in energy homoeostasis and metabolic health. This mini-review provides a brief overview of the potential impact of novel technologies in biomedical research and aims to identify areas where these technologies can make the most significant contribution to adipose tissue research. It discusses the impact of cutting-edge technologies such as single-cell sequencing, multi-omics analyses, spatial transcriptomics, live imaging, 3D tissue engineering, microbiome analysis, in vivo imaging, and artificial intelligence/machine learning. As these technologies continue to evolve, we can expect them to play an increasingly important role in advancing our understanding of adipose tissue and improving the treatment of related diseases.

Genome-wide Epigenetic Study of Chronic Rhinosinusitis Tissues Reveals Dysregulated Inflammatory, Immunologic and Remodeling Pathways

BACKGROUND

Epigenetics studies mechanisms such as DNA methylation, histone modifications, non-coding RNAs, and alternative polyadenylation that can modify gene activity without changing the underlying DNA nucleotide base-pair structure. Because these changes are reversible, they have potential in developing novel therapeutics. Currently, seven pharmaceutical agents targeting epigenetic changes are FDA approved and commercially available for treatment of certain cancers. However, studies investigating epigenetics in chronic rhinosinusitis (CRS) have not been undertaken previously in the United States.

OBJECTIVES

The goal of this study was to investigate sinonasal DNA methylation patterns in CRS versus controls, to discern environmentally-induced epigenetic changes impacting CRS subjects.

METHODS AND RESULTS

Ethmoidal samples from CRS and inferior turbinate mucosal tissue samples from controls without CRS were studied. DNA methylation was studied by Reduced Representation Bisulfite Sequencing. RADMeth® biostatistical package was used to identify differentially methylated regions (DMRs) between CRS and controls. Ingenuity Pathway analysis of DMRs was performed to identify top upstream regulators and canonical pathways. Ninety-three samples from 64 CRS subjects (36 CRSwNP; 28 CRSsNP) and 29 controls were studied. CRS and control samples differed in 13 662 CpGs sites and 1381 DMRs. Top upstream regulators identified included: 1. CRS versus controls: TGFB1, TNF, TP53, DGCR8, and beta-estradiol. 2. CRSwNP versus controls: TGFB1, CTNNB1, lipopolysaccharide, ID2, and TCF7L2. 3. CRSsNP versus controls: MYOD1, acetone, ID2, ST8SIA4, and LEPR.

CONCLUSIONS

Differential patterns of methylation were identified between controls and CRS, CRSwNP, and CRSsNP. Epigenetic, environmentally-induced changes related to novel, inflammatory, immunologic, and remodeling pathways appear to affect epithelial integrity, cell proliferation, homeostasis, vascular permeability, and other yet uncharacterized pathways and genes.

Whole Exome Sequencing to Find Candidate Variants for the Prediction of Kidney Transplantation Efficacy

INTRODUCTION

Kidney transplantation is the optimal treatment strategy for some end-stage renal disease (ESRD); however, graft survival and the success of the transplantation depend on several elements, including the genetics of recipients. In this study, we evaluated exon loci variants based on a high-resolution Next Generation Sequencing (NGS) method.

METHODS

We evaluated whole-exome sequencing (WES) of transplanted kidney recipients in a prospective study. The study involved a total of 10 patients (5 without a history of rejection and 5 with). About five milliliters of blood were collected for DNA extraction, followed by whole-exome sequencing based on molecular inversion probes (MIPs).

RESULTS

Sequencing and variant filtering identified nine pathogenic variants in rejecting patients (low survival). Interestingly, in five patients with successful kidney transplantation, we found 86 SNPs in 63 genes 61 were variants of uncertain significance (VUS), 5 were likely pathogenic, and five were likely benign/benign. The only overlap between rejecting and non-rejecting patients was SNPs rs529922492 in rejecting and rs773542127 in non-rejecting patients' MUC4 gene.

CONCLUSIONS

Nine variants of rs779232502, rs3831942, rs564955632, rs529922492, rs762675930, rs569593251, rs192347509, rs548514380, and rs72648913 have roles in short graft survival.

Embryonic heat conditioning in chicks induces transgenerational heat/immunological resilience via methylation on regulatory elements

The question of whether behavioral traits are heritable is under debate. An obstacle in demonstrating transgenerational inheritance in mammals originates from the maternal environment's effect on offspring phenotype. Here, we used in ovo embryonic heat conditioning (EHC) of first-generation chicks, demonstrating heredity of both heat and immunological resilience, confirmed by a reduced fibril response in their untreated offspring to either heat or LPS challenge. Concordantly, transcriptome analysis confirmed that EHC induces changes in gene expression in the anterior preoptic hypothalamus (APH) that contribute to these phenotypes in the offspring. To study the association between epigenetic mechanisms and trait heritability, DNA-methylation patterns in the APH of offspring of control versus EHC fathers were evaluated. Genome-wide analysis revealed thousands of differentially methylated sites (DMSs), which were highly enriched in enhancers and CCCTC-binding factor (CTCF) sites. Overlap analysis revealed 110 differentially expressed genes that were associated with altered methylation, predominantly on enhancers. Gene-ontology analysis shows pathways associated with immune response, chaperone-mediated protein folding, and stress response. For the proof of concept, we focused on HSP25 and SOCS3, modulators of heat and immune responses, respectively. Chromosome conformational capture (3C) assay identified interactions between their promoters and methylated enhancers, with the strongest frequency on CTCF binding sites. Furthermore, gene expression corresponded with the differential methylation patterns, and presented increased CTCF binding in both hyper- and hypomethylated DMSs. Collectively, we demonstrate that EHC induces transgenerational thermal and immunological resilience traits. We propose that one of the mechanisms underlying inheritance depends on three-dimensional (3D) chromatin reorganization.

Clinical epigenetics and acute/chronic rejection in solid organ transplantation: An update

The lack of a precise stratification algorithm for predicting patients at high risk of graft rejection challenges the current solid organ transplantation (SOT) clinical setting. In fact, the established biomarkers for transplantation outcomes are unable to accurately predict the onset time and severity of graft rejection (acute or chronic) as well as the individual response to immunosuppressive drugs. Thus, identifying novel molecular pathways underlying early immunological responses which can damage transplant integrity is needed to reach precision medicine and personalized therapy of SOT. Direct epigenetic-sensitive mechanisms, mainly DNA methylation and histone modifications, may play a relevant role for immune activation and long-term effects (e.g., activation of fibrotic processes) which may be translated in new non-invasive biomarkers and drug targets. In particular, the measure of DNA methylation by using the blood-based "epigenetic clock" system may be an added value to the donor eligibility criteria providing an estimation of the heart biological age as well as a predictive biomarkers. Besides, monitoring of DNA methylation changes may aid to predict acute vs chronic graft damage in kidney transplantation (KT) patients. For example, hypermethylation of genes belonging to the Notch and Wnt pathways showed a higher predictive value for chronic injury occurring at 12 months post-KT with respect to established clinical parameters. Detecting higher circulating cell-free DNA (cfDNA) fragments carrying hepatocyte-specific unmethylated loci in the inter-alpha-trypsin inhibitor heavy chain 4 (ITIH4), insulin like growth factor 2 receptor (IGF2R), and vitronectin (VTN) genes may be useful to predict acute graft injury after liver transplantation (LT) in serum samples. Furthermore, hypomethylation in the forkhead box P3 (FOXP3) gene may serve as a marker of infiltrating natural Treg percentage in the graft providing the ability to predict acute rejection events after heart transplantation (HTx). We aim to update on the possible clinical relevance of DNA methylation changes regulating immune-related pathways underlying acute or chronic graft rejection in KT, LT, and HTx which might be useful to prevent, monitor, and treat solid organ rejection at personalized level.

Identification of mortality-risk-related missense variant for renal clear cell carcinoma using deep learning

Introduction:

Kidney renal clear cell carcinoma (KIRCC) is a highly heterogeneous and lethal cancer that can arise in patients with renal disease. DeepSurv combines a deep feed-forward neural network with a Cox proportional hazards function and could provide optimized survival results compared with convenient survival analysis.

Methods:

This study used an improved DeepSurv algorithm to identify the candidate genes to be targeted for treatment on the basis of the overall mortality status of KIRCC subjects. All the somatic mutation missense variants of KIRCC subjects were abstracted from TCGA-KIRC database.

Results:

The improved DeepSurv model (95.1%) achieved greater balanced accuracy compared with the DeepSurv model (75%), and identified 610 high-risk variants associated with overall mortality. The results of gene differential expression analysis also indicated nine KIRCC mortality-risk-related pathways, namely the tRNA charging pathway, the D-myo-inositol-5-phosphate metabolism pathway, the DNA double-strand break repair by nonhomologous end-joining pathway, the superpathway of inositol phosphate compounds, the 3-phosphoinositide degradation pathway, the production of nitric oxide and reactive oxygen species in macrophages pathway, the synaptic long-term depression pathway, the sperm motility pathway, and the role of JAK2 in hormone-like cytokine signaling pathway. The biological findings in this study indicate the KIRCC mortality-risk-related pathways were more likely to be associated with cancer cell growth, cancer cell differentiation, and immune response inhibition.

Conclusion:

The results proved that the improved DeepSurv model effectively classified mortality-related high-risk variants and identified the candidate genes. In the context of KIRCC overall mortality, the proposed model effectively recognized mortality-related high-risk variants for KIRCC.

DNA methylation patterns in human iPSC-derived sensory neuronal differentiation

Sensory neurons of the peripheral nervous system are critical in health and disease. Sensory neurons derived from induced pluripotent stem (iPS) cells are now being used increasingly for in vitro models of neuropathy, pain, and neurotoxicity. DNA methylation is critical for neurodevelopment and has been implicated in many neuronal diseases, but has not been examined in iPS-derived sensory neurons. In order to better characterize the iPS-derived sensory neuron model, we have undertaken a genome-wide DNA methylation study on the cells from human iPS to iPS-derived sensory neurons during differentiation through reduced representation and bisulfite sequencing. We report decreasing DNA methylation with iPS-derived sensory neuronal differentiation that is reflected in increasing numbers and proportions of hypomethylated individual CpGs and regions, as well as lowered DNMT3b expression. Furthermore, genes with changes in DNA methylation near their TSS suggest key pathways that may be involved in iPS-derived sensory neuronal differentiation. These findings provide insights into sensory neuronal differentiation and can be used for further in vitro modelling of disease states.

Unveiling the Role of DNA Methylation in Kidney Transplantation: Novel Perspectives toward Biomarker Identification

The burden of chronic kidney disease is dramatically rising, making it a major public health concern worldwide. Kidney transplantation is now the best treatment for patients with end-stage renal disease. Although kidney transplantation may improve survival and quality of life, its long-term results are hampered by immune- and/or non-immune-mediated complications. Thus, the identification of transplanted patients with a higher risk of posttransplant complications has become a big challenge for public health. However, current biomarkers of posttransplant complications have a poor predictive value, rising the need to explore novel approaches for the management of transplant patient. In this review we summarize the emerging literature about DNA methylation in kidney transplant complications, in order to highlight its perspectives toward biomarker identification. In the forthcoming future the monitoring of DNA methylation in kidney transplant patients could become a plausible strategy toward the prevention and/or treatment of kidney transplant complications.