Epigenetic Mechanisms in Aging: Extrinsic Factors and Gut Microbiome DOI Open Access
Alejandro Borrego-Ruiz, Juan J. Borrego

Genes, Год журнала: 2024, Номер 15(12), С. 1599 - 1599

Опубликована: Дек. 14, 2024

Background/Objectives: Aging is a natural physiological process involving biological and genetic pathways. Growing evidence suggests that alterations in the epigenome during aging result transcriptional changes, which play significant role onset of age-related diseases, including cancer, cardiovascular disease, diabetes, neurodegenerative disorders. For this reason, epigenetic diseases have been reviewed, major extrinsic factors influencing these identified. In addition, gut microbiome its metabolites as modifiers has addressed. Results: Long-term exposure to such air pollution, diet, drug use, environmental chemicals, microbial infections, physical activity, radiation, stress provoke changes host through several endocrine immune pathways, potentially accelerating process. Diverse studies reported plays critical regulating brain cell functions DNA methylation histone modifications. The interaction between genes serves source adaptive variation, contributing phenotypic plasticity. However, molecular mechanisms signaling pathways driving are still not fully understood. Conclusions: Extrinsic potential inducers alterations, may important implications for longevity. an effector gene expression modifications, while bidirectional interactions with underexplored roles non-bacterial microorganisms fungi viruses highlight need further research.

Язык: Английский

Multivariate Analysis of RNA Chemistry Marks Uncovers Epitranscriptomics-Based Biomarker Signature for Adult Diffuse Glioma Diagnostics DOI Creative Commons
Sébastien Relier, Amandine Amalric,

Aurore Attina

и другие.

Analytical Chemistry, Год журнала: 2022, Номер 94(35), С. 11967 - 11972

Опубликована: Авг. 23, 2022

One of the main challenges in cancer management relates to discovery reliable biomarkers, which could guide decision-making and predict treatment outcome. In particular, rise democratization high-throughput molecular profiling technologies bolstered "biomarker signatures" that maximize prediction performance. Such an approach was largely employed from diverse OMICs data (i.e., genomics, transcriptomics, proteomics, metabolomics) but not epitranscriptomics, encompasses more than 100 biochemical modifications driving post-transcriptional fate RNA: stability, splicing, storage, translation. We others have studied chemical marks isolation associated them with evolution, adaptation, as well response conventional therapy. this study, we designed a unique pipeline combining multiplex analysis epitranscriptomic landscape by high-performance liquid chromatography coupled tandem mass spectrometry statistical multivariate machine learning approaches order identify biomarker signatures precision medicine improve disease diagnosis. applied analyze cohort adult diffuse glioma patients demonstrate existence "epitranscriptomics-based signature" permits grades be discriminated predicted unmet accuracy. This study demonstrates epitranscriptomics (co)evolves along progression opens new prospects field omics personalized medicine.

Язык: Английский

Процитировано

8

Combining affinity purification and mass spectrometry to define the network of the nuclear proteins interacting with the N-terminal region of FMRP DOI Creative Commons

Félicie Kieffer,

Fahd François Hilal, Anne-Sophie Gay

и другие.

Frontiers in Molecular Biosciences, Год журнала: 2022, Номер 9

Опубликована: Сен. 27, 2022

Fragile X-Syndrome (FXS) represents the most common inherited form of intellectual disability and leading monogenic cause Autism Spectrum Disorders. In cases, this disease results from absence expression protein FMRP encoded by FMR1 gene (Fragile X messenger ribonucleoprotein 1). is mainly defined as a cytoplasmic RNA-binding regulating local translation thousands target mRNAs. Interestingly, also able to shuttle between nucleus cytoplasm. However, date, its roles in mammalian neurons are just emerging. To broaden our insight into contribution nuclear neuronal physiology, we identified here interactome combining subcellular fractionation rat forebrains with pull- down affinity purification mass spectrometry analysis. By approach, listed 55 candidate partners. This includes known FMRP-binding proteins Adar or Rbm14 well several novel candidates, notably Ddx41, Poldip3, Hnrnpa3 that further validated target-specific approaches. Through factors involved different steps mRNA biogenesis, transcription, splicing, editing export, revealing potential central regulatory function biogenesis Therefore, work considerably enlarges interaction network lays basis for exciting future mechanistic studies deepening physiology etiology FXS.

Язык: Английский

Процитировано

8

Comprehensive analysis of key m5C modification-related genes in type 2 diabetes DOI Creative Commons
Yaxian Song, Yan Jiang, Li Shi

и другие.

Frontiers in Genetics, Год журнала: 2022, Номер 13

Опубликована: Окт. 6, 2022

Background: 5-methylcytosine (m5C) RNA methylation plays a significant role in several human diseases. However, the functional of m5C type 2 diabetes (T2D) remains unclear. Methods: The merged gene expression profiles from two Gene Expression Omnibus (GEO) datasets were used to identify m5C-related genes and T2D-related differentially expressed (DEGs). Least-absolute shrinkage selection operator (LASSO) regression analysis was performed optimal predictors T2D. After LASSO regression, we constructed diagnostic model validated its accuracy. ontology (GO) Kyoto Encyclopedia Genes Genomes (KEGG) analyses conducted confirm biological functions DEGs. Set Enrichment Analysis (GSEA) determine enrichment molecular subtypes. Weighted co-expression network (WGCNA) select module that correlated with most pyroptosis-related genes. Protein-protein interaction (PPI) established using STRING database, hub identified Cytoscape software. competitive endogenous (ceRNA) obtained. CIBERSORT algorithm applied analyze interactions between immune infiltration. Results: significantly T2D showed ZBTB4 could be predictive for GO, KEGG, GSEA indicated enriched modules pathways closely related metabolism-related processes cell death. top five as PPI network. In addition, ceRNA Moreover, levels abundance various cells. Conclusion: Our findings may provide insights into mechanisms underlying based on pathophysiology suggest potential biomarkers therapeutic targets

Язык: Английский

Процитировано

8

Decoding the Molecular Script of 2’-O-Ribomethylation: Implications Across CNS Disorders DOI Creative Commons

Anuj K. Verma,

Bhaskar Roy, Yogesh Dwivedi

и другие.

Heliyon, Год журнала: 2024, Номер 10(21), С. e39036 - e39036

Опубликована: Окт. 5, 2024

Emerging evidence underscores the critical role of impaired mRNA translation in various neurobiological conditions. Ribosomal RNA (rRNA), essential for protein synthesis, undergoes crucial post-transcriptional modifications such as 2'-O-ribose methylation, pseudouridylation, and base modifications. These modifications, particularly methylation is vital stabilizing rRNA structures optimizing efficiency by regulating integrity its interactions with proteins. Concentrated key regions like decoding sites peptidyl transferase center, dysregulation these can disrupt ribosomal function, contributing to pathogenesis diverse neurological conditions, including mental health disorders, developmental abnormalities, neurodegenerative diseases. Mechanistically, involves between small nucleolar RNAs (snoRNAs), snoRNPs, fibrillarin, forming a complex regulatory network maintaining function. Recent research highlights association defective ribosome biogenesis spectrum CNS emphasizing importance understanding mechanisms disease pathology. This review focuses on pivotal shaping function potential implications unraveling pathophysiology disorders. Insights gained from studying could pave way new therapeutic strategies targeting dysfunction associated neuropathological advancing precision medicine interventions.

Язык: Английский

Процитировано

1

Epigenetic Mechanisms in Aging: Extrinsic Factors and Gut Microbiome DOI Open Access
Alejandro Borrego-Ruiz, Juan J. Borrego

Genes, Год журнала: 2024, Номер 15(12), С. 1599 - 1599

Опубликована: Дек. 14, 2024

Background/Objectives: Aging is a natural physiological process involving biological and genetic pathways. Growing evidence suggests that alterations in the epigenome during aging result transcriptional changes, which play significant role onset of age-related diseases, including cancer, cardiovascular disease, diabetes, neurodegenerative disorders. For this reason, epigenetic diseases have been reviewed, major extrinsic factors influencing these identified. In addition, gut microbiome its metabolites as modifiers has addressed. Results: Long-term exposure to such air pollution, diet, drug use, environmental chemicals, microbial infections, physical activity, radiation, stress provoke changes host through several endocrine immune pathways, potentially accelerating process. Diverse studies reported plays critical regulating brain cell functions DNA methylation histone modifications. The interaction between genes serves source adaptive variation, contributing phenotypic plasticity. However, molecular mechanisms signaling pathways driving are still not fully understood. Conclusions: Extrinsic potential inducers alterations, may important implications for longevity. an effector gene expression modifications, while bidirectional interactions with underexplored roles non-bacterial microorganisms fungi viruses highlight need further research.

Язык: Английский

Процитировано

1