Hypertension and Dyslipidemia: the Two Partners in Endothelium-Related Crime

Current Atherosclerosis Reports, Год журнала: 2023, Номер 25(9), С. 605 - 612

Опубликована: Авг. 18, 2023

Abstract Purpose of Review The goal this article is to characterize the endothelium’s role in development hypertension and dyslipidemia point out promising therapeutic directions. Recent Findings Dyslipidemia may facilitate hypertension, whereas collaboration these two silent killers potentiates risk atherosclerosis. common pathophysiological denominator for endothelial cell dysfunction, which manifests as dysregulation homeostasis, redox balance, vascular tone, inflammation, thrombosis. Treatment focused on mediators acting processes might be groundbreaking. Metabolomic research has revealed new targets. State-of-the-art solutions integrating interview, clinical examination, innovative imaging, omics profiles along with artificial intelligence have been already shown improve patients’ stratification treatment. Summary Pathomechanisms underlying take place endothelium. Novel approaches involving biomarkers bioinformatics advances could open perspectives patient management.

Язык: Английский

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Applications of multi-omics techniques to unravel the fermentation process and the flavor formation mechanism in fermented foods

Critical Reviews in Food Science and Nutrition, Год журнала: 2023, Номер 64(23), С. 8367 - 8383

Опубликована: Апрель 17, 2023

Fermented foods are important components of the human diet. There is increasing awareness abundant nutritional and functional properties present in fermented that arise from transformation substrates by microbial communities. Thus, it significant to unravel communities mechanisms characteristic flavor formation occurring during fermentation. has been rapid development high-throughput other omics technologies, such as metaproteomics metabolomics, a result, there growing recognition importance integrating these approaches. The successful applications multi-omics approaches bioinformatics analyses have provided solid foundation for exploring fermentation process. Compared with single-omics, more accurately delineate molecular features, thus they apt reveal This review introduces an overview single-omics technologies - including metagenomics, metatranscriptomics, metaproteomics, metabolomics. We also discuss integrated bioinformatic their role recent research progress related foods, well summarize main potential pathways involved certain foods. In future, multilayered data should be conducted enable better understanding

Язык: Английский

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Progress in toxicogenomics to protect human health

Nature Reviews Genetics, Год журнала: 2024, Номер unknown

Опубликована: Сен. 2, 2024

Язык: Английский

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Multiomics insights into the female reproductive aging

Ageing Research Reviews, Год журнала: 2024, Номер 95, С. 102245 - 102245

Опубликована: Фев. 23, 2024

The human female reproductive lifespan significantly diminishes with age, leading to decreased fertility, reduced fertility quality and endocrine function disorders. While many aspects of aging in general have been extensively documented, the precise mechanisms governing programmed system remain elusive. Recent advancements omics technologies computational capabilities facilitated emergence multiomics deep phenotyping. Through application refinement various high-throughput methods, a substantial volume data has generated, deepening our comprehension pathogenesis molecular underpinnings aging. This review highlights current emerging approaches for investigating aging, encompassing genomics, epigenomics, transcriptomics, proteomics, metabolomics, microbiomics. We elucidate their influence on fundamental cell biology translational research context address limitations challenges associated studies, offer glimpse into future prospects.

Язык: Английский

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Genetic and Epigenetic Intersections in COVID-19-Associated Cardiovascular Disease: Emerging Insights and Future Directions

Biomedicines, Год журнала: 2025, Номер 13(2), С. 485 - 485

Опубликована: Фев. 16, 2025

The intersection of COVID-19 and cardiovascular disease (CVD) has emerged as a significant area research, particularly in understanding the impact antiplatelet therapies like ticagrelor clopidogrel. been associated with acute complications, including myocardial infarction, thrombosis, heart failure, exacerbated by virus's ability to trigger widespread inflammation endothelial dysfunction. MicroRNAs (miRNAs) play critical role regulating these processes modulating gene expressions involved platelet function, inflammation, vascular homeostasis. This study explores potential miRNAs such miR-223 miR-126 biomarkers for predicting resistance or responsiveness patients disease. Identifying miRNA signatures linked drug efficacy could optimize treatment strategies at high risk thrombotic events during infection. Moreover, miRNA-mediated pathways offers new insights into how SARS-CoV-2 exacerbates CVD, through mechanisms cytokine storms damage. findings this research lead personalized therapeutic approaches, improving patient outcomes reducing mortality COVID-19-associated events. With global implications, addresses urgent need effective management CVD context COVID-19, focusing on integration molecular enhance precision therapy.

Язык: Английский

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nipalsMCIA: Flexible Multi-Block Dimensionality Reduction in R via Nonlinear Iterative Partial Least Squares

Bioinformatics, Год журнала: 2025, Номер unknown

Опубликована: Янв. 9, 2025

Abstract Summary With the increased reliance on multi-omics data for bulk and single cell analyses, availability of robust approaches to perform unsupervised learning clustering, visualization, feature selection is imperative. We introduce nipalsMCIA, an implementation multiple co-inertia analysis (MCIA) joint dimensionality reduction that solves objective function using extension Non-linear Iterative Partial Least Squares (NIPALS). applied nipalsMCIA both datasets observed significant speed-up over other implementations with a large sample size and/or dimension. Availability Implementation available as Bioconductor package at https://bioconductor.org/packages/release/bioc/html/nipalsMCIA.html, includes detailed documentation application vignettes. Supplementary Materials are online.

Язык: Английский

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Correlation between SMADs and Colorectal Cancer Expression, Prognosis, and Immune Infiltrates

International Journal of Analytical Chemistry, Год журнала: 2023, Номер 2023, С. 1 - 13

Опубликована: Март 8, 2023

Background. In recent years, the incidence and mortality of colorectal cancer (CRC) are increasing, 5-year survival rate advanced metastatic CRC is poor. Small mothers against decapentaplegic (SMAD) superfamily intracellular signal transduction proteins associated with development prognosis a variety tumors. At present, no study has systematically analysed relationship between SMADs CRC. Methods. Here, R3.6.3 was used to analyse expression in pan-cancer Protein were by Human Atlas (HPA). Gene profiling interactive analysis (GEPIA) evaluate correlation tumor stage The effect R language GEPIA on analysed. Mutation rates determined cBioPortal, potentially related genes predicted using GeneMANIA. correlate immune cell infiltration Results. Both SMAD1 SMAD2 found be weakly expressed correlated invasion level. patient prognosis, stage. SMAD3, SMAD4, SMAD7 all at low levels cells. SMAD3 SMAD4 also levels, had highest mutation rate. SMAD5 SMAD6 overexpressed CRC, overall (OS) CD8+ T cells, macrophages, neutrophils. Conclusions. Our results reveal innovative strong evidence that can as biomarkers for treatment

Язык: Английский

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Transcriptomics and epigenetic data integration learning module on Google Cloud

Briefings in Bioinformatics, Год журнала: 2024, Номер 25(Supplement_1)

Опубликована: Июль 1, 2024

Abstract Multi-omics (genomics, transcriptomics, epigenomics, proteomics, metabolomics, etc.) research approaches are vital for understanding the hierarchical complexity of human biology and have proven to be extremely valuable in cancer precision medicine. Emerging scientific advances recent years made high-throughput genome-wide sequencing a central focus molecular by allowing collective analysis various kinds biological data from different types specimens single tissue or even at level cell. Additionally, with help improved computational resources mining, researchers able integrate multi-omics regimes identify new prognostic, diagnostic, predictive biomarkers, uncover novel therapeutic targets, develop more personalized treatment protocols patients. For community parse scientifically clinically meaningful information out all being generated each day efficiently less wasted resources, familiar comfortable using advanced analytical tools, such as Google Cloud Platform becomes imperative. This project is an interdisciplinary, cross-organizational effort provide guided learning module integrating transcriptomics epigenetics into comprehensive pipeline users implement their own work, utilizing cloud computing infrastructure on Cloud. The consists three submodules that guide user through tutorial examples illustrate RNA-sequence Reduced-Representation Bisulfite Sequencing data. form breast case studies, sets were procured public repository Gene Expression Omnibus. first submodule devoted RNA data, second focuses DNA methylation third integrates two methods deeper understanding. modules begin collection preprocessing, further downstream performed Vertex AI Jupyter notebook instance R kernel. Analysis results returned buckets storage visualization, removing strain local resources. final product start-to-finish limited experience perform research. manuscript describes development resource part platform named ``NIGMS Sandbox Cloud-based Learning'' https://github.com/NIGMS/NIGMS-Sandbox. overall genesis described editorial NIGMS [16] beginning this Supplement. delivers materials bulk single-cell ATAC-seq interactive format uses appropriate access analyses. Highlights

Язык: Английский

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Cross-omics strategies and personalised options for lung cancer immunotherapy

Frontiers in Immunology, Год журнала: 2024, Номер 15

Опубликована: Сен. 25, 2024

Lung cancer is one of the most common malignant tumours worldwide and its high mortality rate makes it a leading cause cancer-related deaths. To address this daunting challenge, we need comprehensive understanding pathogenesis progression lung in order to adopt more effective therapeutic strategies. In regard, integrating multi-omics data provides highly promising avenue. Multi-omics approaches such as genomics, transcriptomics, proteomics, metabolomics have become key tools study cancer. The application these methods not only helps resolve immunotherapeutic mechanisms cancer, but also theoretical basis for development personalised treatment plans. By multi-omics, gained process progression, discovered potential immunotherapy targets. This review summarises studies on immunology explores early diagnosis, selection prognostic assessment with aim providing options patients.

Язык: Английский

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From Genomics to Metabolomics: Molecular Insights into Osteoporosis for Enhanced Diagnostic and Therapeutic Approaches

Biomedicines, Год журнала: 2024, Номер 12(10), С. 2389 - 2389

Опубликована: Окт. 18, 2024

Osteoporosis (OP) is a prevalent skeletal disorder characterized by decreased bone mineral density (BMD) and increased fracture risk. The advancements in omics technologies—genomics, transcriptomics, proteomics, metabolomics—have provided significant insights into the molecular mechanisms driving OP. These technologies offer critical perspectives on genetic predispositions, gene expression regulation, protein signatures, metabolic alterations, enabling identification of novel biomarkers for diagnosis therapeutic targets. This review underscores potential these multi-omics approaches to bridge gap between basic research clinical applications, paving way precision medicine OP management. By integrating technologies, researchers can contribute improved diagnostics, preventative strategies, treatments patients suffering from related conditions.

Язык: Английский

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