Current understanding and management of cardiovascular involvement in rheumatic immune-mediated inflammatory diseases DOI
Maya H Buch, Ziad Mallat, Marc R. Dweck

и другие.

Nature Reviews Rheumatology, Год журнала: 2024, Номер 20(10), С. 614 - 634

Опубликована: Сен. 2, 2024

Язык: Английский

Western diets and chronic diseases DOI
Timon E. Adolph, Herbert Tilg

Nature Medicine, Год журнала: 2024, Номер 30(8), С. 2133 - 2147

Опубликована: Июль 31, 2024

Язык: Английский

Процитировано

32

Major lipids and lipoprotein levels and risk of blood pressure elevation: a Mendelian Randomisation study DOI Creative Commons
Weifang Liu,

Chengzhang Yang,

Fang Lei

и другие.

EBioMedicine, Год журнала: 2024, Номер 100, С. 104964 - 104964

Опубликована: Янв. 5, 2024

Quantitative nuclear magnetic resonance (NMR) metabolomics techniques provide detailed measurements of lipoprotein particle concentration. Metabolic dysfunction often represents a cluster conditions, including dyslipidaemia, hypertension, and diabetes, that increase the risk cardiovascular diseases (CVDs). However, causal relationship between lipid profiles blood pressure (BP) remains unclear. We performed Mendelian Randomisation (MR) study to disentangle prioritize potential effects major lipids, particles, circulating metabolites on BP pulse (PP).

Язык: Английский

Процитировано

23

Deciphering the impact of genomic variation on function DOI
J Engreitz, Heather A. Lawson, Harinder Singh

и другие.

Nature, Год журнала: 2024, Номер 633(8028), С. 47 - 57

Опубликована: Сен. 4, 2024

Язык: Английский

Процитировано

22

The application of Aptamer in biomarker discovery DOI Creative Commons
Yongshu Li,

Winnie W. L. Tam,

Yuanyuan Yu

и другие.

Biomarker Research, Год журнала: 2023, Номер 11(1)

Опубликована: Июль 19, 2023

Abstract Biomarkers are detectable molecules that can reflect specific physiological states of cells, organs, and organisms therefore be regarded as indicators for diseases. And the discovery biomarkers plays an essential role in cancer management from initial diagnosis to final treatment regime. Practically, reliable clinical still limited, restricted by suboptimal methods biomarker discovery. Nucleic acid aptamers nowadays could used a powerful tool protein biomarkers. single-strand oligonucleotides specifically bind various targets with high affinity. As artificial ssDNA or RNA, possess unique advantages compared conventional antibodies. They flexible design, low immunogenicity, relative chemical/thermos stability, well modifying convenience. Several SELEX (Systematic Evolution Ligands Exponential Enrichment) based have been generated recently construct discovering new different cell locations. Secretome SELEX-based selection facilitate identification secreted The developed cell-SELEX unveil those presented on surface. tissue-SELEX target intracellular multiplexed detection technology, aptamer-based SOMAScan analyze thousands proteins single run. In this review, we will introduce principle workflow variations methods, including secretome SELEX, ADAPT, Cell-SELEX tissue SELEX. Another proteome analyzing tool, SOMAScan, also covered. second half how these accelerate diseases, cardiovascular neurodegenerative discussed.

Язык: Английский

Процитировано

38

From ‘Omics to Multi-omics Technologies: the Discovery of Novel Causal Mediators DOI Open Access
Pedrum Mohammadi‐Shemirani, Tushar Sood, Guillaume Paré

и другие.

Current Atherosclerosis Reports, Год журнала: 2023, Номер 25(2), С. 55 - 65

Опубликована: Янв. 3, 2023

Язык: Английский

Процитировано

30

Challenges and advances in the management of inflammation in atherosclerosis DOI Creative Commons

Yiming Xing,

Xianhe Lin

Journal of Advanced Research, Год журнала: 2024, Номер unknown

Опубликована: Июнь 1, 2024

Atherosclerosis, traditionally considered a lipid-related disease, is now understood as chronic inflammatory condition with significant global health implications. This review aims to delve into the complex interactions among immune cells, cytokines, and cascade in atherosclerosis, shedding light on how these elements influence both initiation progression of disease. draws recent clinical research elucidate roles key macrophages, T endothelial clonal hematopoiesis atherosclerosis development. It focuses cells process contribute disease progression, particularly through inflammation-driven processes that lead plaque formation stabilization. Macrophages ingest oxidized low-density lipoprotein (oxLDL), which partially converts high-density (HDL) or accumulates lipid droplets, forming foam crucial for stability. Additionally, macrophages exhibit diverse phenotypes within plaques, pro-inflammatory types predominating others specializing debris clearance at rupture sites. The involvement CD4+ CD8+ promotes macrophage states, suppresses vascular smooth muscle cell proliferation, enhances instability. nuanced related atherosclerotic microenvironment are explored, revealing insights cellular molecular pathways fuel inflammation. also addresses advancements imaging biomarker technology enhance our understanding progression. Moreover, it points out limitations current treatment highlights potential emerging anti-inflammatory strategies, including trials agents such p38MAPK, tumor necrosis factor α (TNF-α), IL-1β, their preliminary outcomes, promising effects canakinumab, colchicine, IL-6R antagonists. explores cutting-edge interventions, efficacy preventing alleviating role nanotechnology delivering drugs more effectively safely.

Язык: Английский

Процитировано

15

Harnessing Artificial Intelligence in Multimodal Omics Data Integration: Paving the Path for the Next Frontier in Precision Medicine DOI
Yonghyun Nam, Jae‐Sik Kim, Sang‐Hyuk Jung

и другие.

Annual Review of Biomedical Data Science, Год журнала: 2024, Номер 7(1), С. 225 - 250

Опубликована: Май 20, 2024

The integration of multiomics data with detailed phenotypic insights from electronic health records marks a paradigm shift in biomedical research, offering unparalleled holistic views into and disease pathways. This review delineates the current landscape multimodal omics integration, emphasizing its transformative potential generating comprehensive understanding complex biological systems. We explore robust methodologies for ranging concatenation-based to transformation-based network-based strategies, designed harness intricate nuances diverse types. Our discussion extends incorporating large-scale population biobanks dissecting high-dimensional layers at single-cell level. underscores emerging role large language models artificial intelligence, anticipating their influence as near-future pivot approaches. Highlighting both achievements hurdles, we advocate concerted effort toward sophisticated models, fortifying foundation groundbreaking discoveries precision medicine.

Язык: Английский

Процитировано

13

Promises and Challenges of populational Proteomics in Health and Disease DOI Creative Commons
Benjamin B. Sun, Karsten Suhre, Bradford W. Gibson

и другие.

Molecular & Cellular Proteomics, Год журнала: 2024, Номер 23(7), С. 100786 - 100786

Опубликована: Май 17, 2024

Язык: Английский

Процитировано

12

π-HuB: the proteomic navigator of the human body DOI
Fuchu He, Ruedi Aebersold, Mark S. Baker

и другие.

Nature, Год журнала: 2024, Номер 636(8042), С. 322 - 331

Опубликована: Дек. 11, 2024

Язык: Английский

Процитировано

11

Genome-scale models in human metabologenomics DOI
Adil Mardinoğlu, Bernhard Ø. Palsson

Nature Reviews Genetics, Год журнала: 2024, Номер unknown

Опубликована: Сен. 19, 2024

Язык: Английский

Процитировано

10