Epigenetic changes, such as DNA methylation, may contribute to an increased susceptibility for developing necrotizing enterocolitis (NEC) in preterm infants. We assessed DNA methylation in five NEC-associated genes, selected from literature: , and in infants with NEC and controls. Observational cohort study including 24 preterm infants who developed NEC (≥Bell Stage IIA) and 45 matched controls. DNA was isolated from stool samples and methylation measured using pyrosequencing. We investigated differences in methylation prior to NEC compared with controls. Next, in NEC infants, we investigated methylation patterns long before, a short time before NEC onset, and after NEC. Prior to NEC, only CpG 2 methylation was increased in NEC infants (median = 75.4%, IQR = 71.3-83.8%) versus controls (median = 69.0%, IQR = 64.5-77.4%, = 0.025). In NEC infants, CpG 3 methylation was 0.8% long before NEC, increasing to 1.8% a short time before NEC and 2.0% after NEC ( = 0.011; = 0.021, respectively). A similar pattern was found in CpG 1, which increased from 75.4 to 81.4% and remained 85.3% ( = 0.027; = 0.019, respectively). These changes were not present for , and . Epigenetic changes of , and are present in NEC infants and can differ in relation to the time of NEC onset. Differences in DNA methylation of , and may influence gene expression and increase the risk for developing NEC. This study also demonstrates the use of human DNA extraction from stool samples as a novel non-invasive method for exploring the bowel of preterm infants and which can also be used for necrotizing enterocolitis patients.
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http://dx.doi.org/10.3389/fped.2021.630817 | DOI Listing |
Acta Neuropathol Commun
January 2025
Institute of Cancer Research, London, UK.
Histone mutations (H3 K27M, H3 G34R/V) are molecular features defining subtypes of paediatric-type diffuse high-grade gliomas (HGG) (diffuse midline glioma (DMG), H3 K27-altered, diffuse hemispheric glioma (DHG), H3 G34-mutant). The WHO classification recognises in exceptional cases, these mutations co-occur. We report one such case of a 2-year-old female presenting with neurological symptoms; MRI imaging identified a brainstem lesion which was biopsied.
View Article and Find Full Text PDFEpigenetics Chromatin
January 2025
Department of Maternal‑Fetal Biology, National Center for Child Health and Development, Tokyo, 157‑8535, Japan.
Background: DNA methylation plays a crucial role in mammalian development. While methylome changes acquired in the parental genomes are believed to be erased by epigenetic reprogramming, accumulating evidence suggests that methylome changes in sperm caused by environmental factors are involved in the disease phenotypes of the offspring. These findings imply that acquired sperm methylome changes are transferred to the embryo after epigenetic reprogramming.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Biological Sciences, Virginia Tech, Blacksburg, VA, 24061-0910, USA.
Sepsis is a leading cause of death worldwide, with most patient mortality stemming from lingering immunosuppression in sepsis survivors. This is due in part to immune dysfunction resulting from monocyte exhaustion, a phenotype of reduced antigen presentation, altered CD14/CD16 inflammatory subtypes, and disrupted cytokine production. Whereas previous research demonstrated improved sepsis survival in Ticam2 mice, the contribution of TICAM2 to long-term exhaustion memory remained unknown.
View Article and Find Full Text PDFSci Data
January 2025
Department of Botany and Evolutionary Ecology, University of Warmia and Mazury in Olsztyn, Plac Łódzki 1, Olsztyn, 10-719, Poland.
Riccia sorocarpa Bisch., commonly known as common crystalwort, is a plant belonging to the Marchantiales order with a cosmopolitan distribution among a wide range of habitats: fields, gardens, waste ground, on paths, cliff tops, and thin soil over rocks or by water bodies. However, research into the genetic aspects of this species is limited.
View Article and Find Full Text PDFNat Commun
January 2025
The Medical Image and Health Informatics Lab, the School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
Despite vast data support in DNA methylation (DNAm) biomarker discovery to facilitate health-care research, this field faces huge resource barriers due to preliminary unreliable candidates and the consequent compensations using expensive experiments. The underlying challenges lie in the confounding factors, especially measurement noise and individual characteristics. To achieve reliable identification of a candidate pool for DNAm biomarker discovery, we propose a Causality-driven Deep Regularization framework to reinforce correlations that are suggestive of causality with disease.
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