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Scientific Reports Jun 2024The benefits of breastfeeding for the health and wellbeing of both infants and mothers are well documented, yet global breastfeeding rates are low. One factor associated...
The benefits of breastfeeding for the health and wellbeing of both infants and mothers are well documented, yet global breastfeeding rates are low. One factor associated with low breast feeding is maternal body mass index (BMI), which is used as a measure of obesity. The negative relationship between maternal obesity and breastfeeding is likely caused by a variety of social, psychological, and physiological factors. Maternal obesity may also have a direct biological association with breastfeeding through changes in maternal DNA methylation. Here, we investigate this potential biological association using data from a UK-based cohort study, the Avon Longitudinal Study of Parents and Children (ALSPAC). We find that pre-pregnancy body mass index (BMI) is associated with lower initiation to breastfeed and shorter breastfeeding duration. We conduct epigenome-wide association studies (EWAS) of pre-pregnancy BMI and breastfeeding outcomes, and run candidate-gene analysis of methylation sites associated with BMI identified via previous meta-EWAS. We find that DNA methylation at cg11453712, annotated to PHTP1, is associated with pre-pregnancy BMI. From our results, neither this association nor those at candidate-gene sites are likely to mediate the link between pre-pregnancy BMI and breastfeeding.
Topics: Humans; DNA Methylation; Breast Feeding; Body Mass Index; Female; Pregnancy; Adult; Longitudinal Studies; Genome-Wide Association Study; United Kingdom; Obesity; Epigenesis, Genetic
PubMed: 38918574
DOI: 10.1038/s41598-024-65605-0 -
Scientific Reports Jun 2024PTBP1 is an oncogene that regulates the splicing of precursor mRNA. However, the relationship between PTBP1 expression and gene methylation, cancer prognosis, and tumor...
PTBP1 is an oncogene that regulates the splicing of precursor mRNA. However, the relationship between PTBP1 expression and gene methylation, cancer prognosis, and tumor microenvironment remains unclear. The expression profiles of PTBP1 across various cancers were derived from the TCGA, as well as the GTEx and CGGA databases. The CGGA mRNA_325, CGGA mRNA_301, and CGGA mRNA_693 datasets were utilized as validation cohorts. Immune cell infiltration scores were approximated using the TIMER 2.0 tool. Functional enrichment analysis for groups with high and low PTBP1 expression was conducted using Gene Set Enrichment Analysis (GSEA). Methylation data were predominantly sourced from the SMART and Mexpress databases. Linked-omics analysis was employed to perform functional enrichment analysis of genes related to PTBP1 methylation, as well as to conduct protein functional enrichment analysis. Single-cell transcriptome analysis and spatial transcriptome analysis were carried out using Seurat version 4.10. Compared to normal tissues, PTBP1 is significantly overexpressed and hypomethylated in various cancers. It is implicated in prognosis, immune cell infiltration, immune checkpoint expression, genomic variation, tumor neoantigen load, and tumor mutational burden across a spectrum of cancers, with particularly notable effects in low-grade gliomas. In the context of gliomas, PTBP1 expression correlates with WHO grade and IDH1 mutation status. PTBP1 expression and methylation play an important role in a variety of cancers. PTBP1 can be used as a marker of inflammation, progression and prognosis in gliomas.
Topics: Humans; Polypyrimidine Tract-Binding Protein; Heterogeneous-Nuclear Ribonucleoproteins; Prognosis; Biomarkers, Tumor; Glioma; Gene Expression Regulation, Neoplastic; Tumor Microenvironment; DNA Methylation; Gene Expression Profiling; Inflammation; Transcriptome; Brain Neoplasms; Disease Progression; Multiomics
PubMed: 38918441
DOI: 10.1038/s41598-024-64979-5 -
Scientific Reports Jun 2024Type 2 diabetes (T2D) is the fastest growing non-infectious disease worldwide. Impaired insulin secretion from pancreatic beta-cells is a hallmark of T2D, but the...
Type 2 diabetes (T2D) is the fastest growing non-infectious disease worldwide. Impaired insulin secretion from pancreatic beta-cells is a hallmark of T2D, but the mechanisms behind this defect are insufficiently characterized. Integrating multiple layers of biomedical information, such as different Omics, may allow more accurate understanding of complex diseases such as T2D. Our aim was to explore and use Machine Learning to integrate multiple sources of biological/molecular information (multiOmics), in our case RNA-sequening, DNA methylation, SNP and phenotypic data from islet donors with T2D and non-diabetic controls. We exploited Machine Learning to perform multiOmics integration of DNA methylation, expression, SNPs, and phenotypes from pancreatic islets of 110 individuals, with ~ 30% being T2D cases. DNA methylation was analyzed using Infinium MethylationEPIC array, expression was analyzed using RNA-sequencing, and SNPs were analyzed using HumanOmniExpress arrays. Supervised linear multiOmics integration via DIABLO based on Partial Least Squares (PLS) achieved an accuracy of 91 ± 15% of T2D prediction with an area under the curve of 0.96 ± 0.08 on the test dataset after cross-validation. Biomarkers identified by this multiOmics integration, including SACS and TXNIP DNA methylation, OPRD1 and RHOT1 expression and a SNP annotated to ANO1, provide novel insights into the interplay between different biological mechanisms contributing to T2D. This Machine Learning approach of multiOmics cross-sectional data from human pancreatic islets achieved a promising accuracy of T2D prediction, which may potentially find broad applications in clinical diagnostics. In addition, it delivered novel candidate biomarkers for T2D and links between them across the different Omics.
Topics: Humans; Diabetes Mellitus, Type 2; Machine Learning; DNA Methylation; Islets of Langerhans; Polymorphism, Single Nucleotide; Male; Female; Middle Aged; Biomarkers; Adult; Aged
PubMed: 38918439
DOI: 10.1038/s41598-024-64846-3 -
Database : the Journal of Biological... Jun 2024Major depressive disorder (MDD) is a pressing global health issue. Its pathogenesis remains elusive, but numerous studies have revealed its intricate associations with...
Major depressive disorder (MDD) is a pressing global health issue. Its pathogenesis remains elusive, but numerous studies have revealed its intricate associations with various biological factors. Consequently, there is an urgent need for a comprehensive multi-omics resource to help researchers in conducting multi-omics data analysis for MDD. To address this issue, we constructed the MDDOmics database (Major Depressive Disorder Omics, (https://www.csuligroup.com/MDDOmics/), which integrates an extensive collection of published multi-omics data related to MDD. The database contains 41 222 entries of MDD research results and several original datasets, including Single Nucleotide Polymorphisms, genes, non-coding RNAs, DNA methylations, metabolites and proteins, and offers various interfaces for searching and visualization. We also provide extensive downstream analyses of the collected MDD data, including differential analysis, enrichment analysis and disease-gene prediction. Moreover, the database also incorporates multi-omics data for bipolar disorder, schizophrenia and anxiety disorder, due to the challenge in differentiating MDD from similar psychiatric disorders. In conclusion, by leveraging the rich content and online interfaces from MDDOmics, researchers can conduct more comprehensive analyses of MDD and its similar disorders from various perspectives, thereby gaining a deeper understanding of potential MDD biomarkers and intricate disease pathogenesis. Database URL: https://www.csuligroup.com/MDDOmics/.
Topics: Depressive Disorder, Major; Humans; Databases, Genetic; Polymorphism, Single Nucleotide; Genomics; DNA Methylation; Multiomics
PubMed: 38917209
DOI: 10.1093/database/baae042 -
Journal of Molecular Histology Jun 2024Chemical carcinogen-induced oxidative stress has a key role in cell signaling linked to the development of cancer. Oxidative stress leads to oxidative damage to cellular...
Chemical carcinogen-induced oxidative stress has a key role in cell signaling linked to the development of cancer. Oxidative stress leads to oxidative damage to cellular membranes, proteins, chromosomes and genetic material. It is thought that compounds like hesperidin with high antioxidant and anticancer potential can reduce development of cancer induced by chemical carcinogens via neutralizing their oxidative damages. We investigated protective effect of hesperidin against N-Ethyl-N-Nitrosourea (ENU)-induced neurotoxicity, congenital abnormalities and possible brain cancer after exposure of mice during pregnancy as model of glioma. The mice were divided to four groups; control (normal saline), ENU (40 mg/kg daily for three consecutive days from the 17th to the 19th of pregnancy), hesperidin (pretreated with 25 mg/kg for 30 consecutive days, before mating) + ENU and hesperidin alone. Developmental toxicity parameters (the number of pregnant mice, stillbirths, abortion, live and dead offspring), behavioral tests (novel object recognition, open field and elevated plus maze) were performed. Moreover, the activity of butrylcholinesterase and acetylcholinesterase enzymes, oxidative markers and histopathological abnormalities were detected in brain tissue. Our data showed that conversely, the pretreatment of hesperidin reduces various degrees of developmental toxicity, neurobehavioral dysfunction, neurotoxicity, oxidative stress and histopathological abnormalities induced by ENU as a neurotoxic and carcinogenic agent in the next generation. In conclusion, pre-mating exposure with hesperidin may open new avenues for prevention of primary brain cancer in next generation and could be valuable for enhancing the antioxidant defense and minimizing the developmental and neurotoxicity of DNA alkylating agents.
PubMed: 38916842
DOI: 10.1007/s10735-024-10218-0 -
Frontiers in Immunology 2024The innate immune system of insects can respond more swiftly and efficiently to pathogens based on previous experience of encountering antigens. The understanding of... (Review)
Review
The innate immune system of insects can respond more swiftly and efficiently to pathogens based on previous experience of encountering antigens. The understanding of molecular mechanisms governing immune priming, a form of immune memory in insects, including its transgenerational inheritance, remains elusive. It is still unclear if the enhanced expression of immune genes observed in primed insects can persist and be regulated through changes in chromatin structure via epigenetic modifications of DNA or histones, mirroring observations in mammals. Increasing experimental evidence suggests that epigenetic changes at the level of DNA/RNA methylation and histone acetylation can modulate the activation of insects' immune responses to pathogen exposure. Moreover, transgenerational inheritance of certain epigenetic modifications in model insect hosts can influence the transmission of pre-programmed immune responses to the offspring, leading to the development of evolved resistance. Epigenetic research in model insect hosts is on the brink of significant progress in the mechanistic understanding of chromatin remodeling within innate immunity, particularly the direct relationships between immunological priming and epigenetic alterations. In this review, we discuss the latest discoveries concerning the involvement of DNA methylation and histone acetylation in shaping the development, maintenance, and inheritance of immune memory in insects, culminating in the evolution of resistance against pathogens.
Topics: Animals; Epigenesis, Genetic; Immunologic Memory; Insecta; DNA Methylation; Histones; Immunity, Innate; Chromatin Assembly and Disassembly; Acetylation
PubMed: 38915407
DOI: 10.3389/fimmu.2024.1397521 -
Frontiers in Immunology 2024Type 1 diabetes (T1D) is preceded by a heterogenous pre-clinical phase, islet autoimmunity (IA). We aimed to identify pre vs. post-IA seroconversion (SV) changes in DNAm...
BACKGROUND
Type 1 diabetes (T1D) is preceded by a heterogenous pre-clinical phase, islet autoimmunity (IA). We aimed to identify pre vs. post-IA seroconversion (SV) changes in DNAm that differed across three IA progression phenotypes, those who lose autoantibodies (reverters), progress to clinical T1D (progressors), or maintain autoantibody levels (maintainers).
METHODS
This epigenome-wide association study (EWAS) included longitudinal DNAm measurements in blood (Illumina 450K and EPIC) from participants in Diabetes Autoimmunity Study in the Young (DAISY) who developed IA, one or more islet autoantibodies on at least two consecutive visits. We compared - individuals who sero-reverted, negative for all autoantibodies on at least two consecutive visits and did not develop T1D (n=41); continued to test positive for autoantibodies but did not develop T1D (n=60); developed clinical T1D (n=42). DNAm data were measured before (pre-SV visit) and after IA (post-SV visit). Linear mixed models were used to test for differences in pre- vs post-SV changes in DNAm across the three groups. Linear mixed models were also used to test for group differences in average DNAm. Cell proportions, age, and sex were adjusted for in all models. Median follow-up across all participants was 15.5 yrs. (interquartile range (IQR): 10.8-18.7).
RESULTS
The median age at the pre-SV visit was 2.2 yrs. (IQR: 0.8-5.3) in progressors, compared to 6.0 yrs. (IQR: 1.3-8.4) in reverters, and 5.7 yrs. (IQR: 1.4-9.7) in maintainers. Median time between the visits was similar in reverters 1.4 yrs. (IQR: 1-1.9), maintainers 1.3 yrs. (IQR: 1.0-2.0), and progressors 1.8 yrs. (IQR: 1.0-2.0). Changes in DNAm, pre- vs post-SV, differed across the groups at one site (cg16066195) and 11 regions. Average DNAm (mean of pre- and post-SV) differed across 22 regions.
CONCLUSION
Differentially changing DNAm regions were located in genomic areas related to beta cell function, immune cell differentiation, and immune cell function.
Topics: Humans; Diabetes Mellitus, Type 1; Female; Male; Autoimmunity; Islets of Langerhans; Disease Progression; Autoantibodies; DNA Methylation; Child; Adolescent; Longitudinal Studies; Child, Preschool; Genome-Wide Association Study; Epigenesis, Genetic
PubMed: 38915393
DOI: 10.3389/fimmu.2024.1345494 -
Clinical Epigenetics Jun 2024Gastrointestinal malignancies encompass a diverse group of cancers that pose significant challenges to global health. The major histocompatibility complex (MHC) plays a... (Review)
Review
BACKGROUND
Gastrointestinal malignancies encompass a diverse group of cancers that pose significant challenges to global health. The major histocompatibility complex (MHC) plays a pivotal role in immune surveillance, orchestrating the recognition and elimination of tumor cells by the immune system. However, the intricate regulation of MHC gene expression is susceptible to dynamic epigenetic modification, which can influence functionality and pathological outcomes.
MAIN BODY
By understanding the epigenetic alterations that drive MHC downregulation, insights are gained into the molecular mechanisms underlying immune escape, tumor progression, and immunotherapy resistance. This systematic review examines the current literature on epigenetic mechanisms that contribute to MHC deregulation in esophageal, gastric, pancreatic, hepatic and colorectal malignancies. Potential clinical implications are discussed of targeting aberrant epigenetic modifications to restore MHC expression and 0 the effectiveness of immunotherapeutic interventions.
CONCLUSION
The integration of epigenetic-targeted therapies with immunotherapies holds great potential for improving clinical outcomes in patients with gastrointestinal malignancies and represents a compelling avenue for future research and therapeutic development.
Topics: Humans; Gastrointestinal Neoplasms; Epigenesis, Genetic; Major Histocompatibility Complex; Gene Expression Regulation, Neoplastic; Immunotherapy; DNA Methylation; Tumor Escape
PubMed: 38915093
DOI: 10.1186/s13148-024-01698-8 -
Systems Biology in Reproductive Medicine Dec 2024With ∼50% recurrent pregnancy loss cases being termed idiopathic (iRPL), understanding of contribution of male factors to iRPL is still lacking. Higher prevalence of...
With ∼50% recurrent pregnancy loss cases being termed idiopathic (iRPL), understanding of contribution of male factors to iRPL is still lacking. Higher prevalence of sperm DNA fragmentation index (DFI) and lower sperm 5-methylcytosine (5-mC) levels have been previously reported in male partners of iRPL couples and shed light on importance of the male gamete in maintenance of a successful pregnancy. The present study aimed to determine the serum sex steroid hormone levels, sperm DFI and 5-mC and correlation between them in male partners of fertile and iRPL couples. Further, correlation between sperm DFI and 5-mC with semen parameters and paternal age in both groups were determined. 36 male partners of fertile couples and 45 male partners of women experiencing iRPL were enrolled for this study and semen and blood samples were collected. Serum testosterone and estradiol levels were measured by ELISA; sperm DFI and global 5-mC were determined by TUNEL assay and ELISA respectively. Significantly higher serum testosterone levels were noted in the iRPL group ( = 0.028). Incidence of sperm DNA fragmentation was found to be higher in the iRPL study group but with no significance difference. No significant differences in sperm 5-mC values were noted. Upon correlation analysis within both groups, strong significant negative correlation of sperm DFI % and 5-mC % was observed in the control group ( < 0.001) but not the iRPL group ( = 0.249). Hence, we infer that with lower 5-mC levels in sperm genome, there is a higher incidence of sperm DFI in fertile men. However, this trend is not noted in men of iRPL group which could possibly be due to other underlying epigenetic alterations in genomic regions probably unsusceptible to fragmentation. On the other hand, no significant correlations of semen parameters, testosterone, estradiol and paternal age with sperm DFI and 5-mC were noted in both groups.
Topics: Humans; DNA Fragmentation; Male; Abortion, Habitual; Spermatozoa; DNA Methylation; Adult; Female; Estradiol; Testosterone; Pregnancy; 5-Methylcytosine; Semen Analysis; Paternal Age
PubMed: 38913941
DOI: 10.1080/19396368.2024.2363209 -
Iranian Journal of Immunology : IJI Jun 2024Ankylosing spondylitis (AS) is a chronic autoimmune disorder characterized by the fusion of vertebral joints and axial arthritis. The programmed death-1 (PD-1)...
BACKGROUND
Ankylosing spondylitis (AS) is a chronic autoimmune disorder characterized by the fusion of vertebral joints and axial arthritis. The programmed death-1 (PD-1) inhibitory receptor has a pivotal role in controlling T cell function and may have a significant impact on the pathogenesis of autoimmune diseases such as AS pathogenesis.
OBJECTIVE
To investigate PD-1 gene expression and its epigenetic regulation by detecting methylated CpG islands in the regulatory sites of the gene. This will provide insight into the mechanisms involved in the disease.
METHODS
30 AS patients and 30 healthy individuals were examined to detect the 16 CpG islands in intron 1 using bisulfite conversion and methylation-specific PCR technique. In addition, RNA samples were isolated from fresh peripheral blood mononuclear cells (PBMCs), and after complementary DNA (cDNA) synthesis, the expression level of the PD-1 gene was evaluated using Real-Time PCR.
RESULTS
The CpG islands located in the intronic zone of the PD-1 gene were hyper-methylated in both the patients with AS and the healthy controls. The gene expression of PD-1 was significantly downregulated in AS patients compared with the controls (p=0.017). A negative correlation between the Bath Ankylosing Spondylitis Disease Activity Index and PD-1 gene expression was also revealed.
CONCLUSION
The low level of PD-1 gene expression is implicated in the pathogenesis of AS. However, in both groups, the methylation level of the intron 1 CpG islands of the PD-1 gene suggests that other regulatory mechanisms are more relevant to PD-1 gene expression than methylation in the intron.
Topics: Humans; Spondylitis, Ankylosing; Programmed Cell Death 1 Receptor; DNA Methylation; Male; Female; Adult; CpG Islands; Epigenesis, Genetic; Transcriptome; Gene Expression Regulation; Middle Aged; Gene Expression Profiling; Regulatory Sequences, Nucleic Acid; Young Adult; Introns
PubMed: 38912647
DOI: 10.22034/iji.2024.101565.2757