Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown
Published: Jan. 1, 2024
Language: Английский
Frontiers in Immunology, Journal Year: 2024, Volume and Issue: 15
Published: June 10, 2024
Rheumatoid arthritis (RA) is an autoimmune disease causing progressive joint damage. Early diagnosis and treatment critical, but remains challenging due to RA complexity heterogeneity. Machine learning (ML) techniques may enhance management by identifying patterns within multidimensional biomedical data improve classification, diagnosis, predictions. In this review, we summarize the applications of ML for management. Emerging studies or have developed diagnostic predictive models that utilize a variety modalities, including electronic health records, imaging, multi-omics data. High-performance supervised demonstrated Area Under Curve (AUC) exceeding 0.85, which used patients predicting responses. Unsupervised has revealed potential subtypes. Ongoing research integrating multimodal with deep further performance. However, key challenges remain regarding model overfitting, generalizability, validation in clinical settings, interpretability. Small sample sizes lack diverse population testing risks overestimating Prospective evaluating real-world utility are lacking. Enhancing interpretability critical clinician acceptance. summary, while shows promise transforming through earlier optimized treatment, larger scale multisite data, prospective interpretable models, across populations still needed. As these gaps addressed, pave way towards precision medicine RA.
Language: Английский
Citations
9
Circulation Research, Journal Year: 2024, Volume and Issue: 134(12), P. 1681 - 1702
Published: June 6, 2024
Throughout our lifetime, each beat of the heart requires coordinated action multiple cardiac cell types. Understanding biology, its intricate microenvironments, and mechanisms that govern their function in health disease are crucial to designing novel therapeutical behavioral interventions. Recent advances single-cell spatial omics technologies have significantly propelled this understanding, offering insights into cellular diversity complex interactions tissue. This review provides a comprehensive overview landscape heart, bridging gap between suspension-based emerging situ approaches, focusing on experimental computational challenges, comparative analyses mouse human systems, rising contextualization cells within niches. As we explore at unprecedented resolution, integrating from both studies will pave way for diagnostic tools therapeutic interventions, ultimately improving outcomes patients with cardiovascular diseases.
Language: Английский
Citations
5
Advanced Healthcare Materials, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 19, 2025
Abstract The complex composition of traditional Chinese medicines (TCMs) has posed challenges for in‐depth study and global application, despite their abundance bioactive compounds that make them valuable resources disease treatment. To overcome these obstacles, it is essential to modernize TCMs by focusing on precise This involves elucidating the structure‐activity relationships within compositions, ensuring accurate in vivo delivery, monitoring delivery process. review discusses research progress precision treatment from three perspectives: spatial multi‐omics technology therapeutic activity, carrier systems medical imaging visualizing aim establish a novel paradigm advances therapy TCMs.
Language: Английский
Citations
0
bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 6, 2025
Abstract Cellular organization is central to tissue function and homeostasis, influencing development, disease progression, therapeutic outcomes. The emergence of spatial omics technologies, including transcriptomics proteomics, has enabled the integration molecular histological features within tissues. Analyzing these multimodal data presents unique challenges, variable resolutions, imperfect alignment, limited or coverage. To address issues, we introduce CORAL, a probabilistic deep generative model that leverages graph attention mechanisms learn expressive, integrated representations data. CORAL deconvolves low-resolution into high-resolution single-cell profiles detects functional domains. It also characterizes cell-cell interactions elucidates disease-relevant features. Validated on synthetic experimental datasets, Stero-CITE-seq from mouse thymus, paired CODEX Visium hepatocellular carcinoma, demonstrates robustness versatility. In uncovered key immune cell subsets drive failure response immunotherapy, highlighting its potential advance analyses accelerate translational research.
Language: Английский
Citations
0
Research, Journal Year: 2025, Volume and Issue: 8
Published: Jan. 1, 2025
Cardiovascular diseases constitute a marked threat to global health, and the emergence of spatial omics technologies has revolutionized cardiovascular research. This review explores application omics, including transcriptomics, proteomics, metabolomics, genomics, epigenomics, providing more insight into molecular cellular foundations disease highlighting critical contributions science, discusses future prospects, technological advancements, integration multi-omics, clinical applications. These developments should contribute understanding guide progress precision medicine, targeted therapies, personalized treatments.
Language: Английский
Citations
0
Molecular Cancer, Journal Year: 2025, Volume and Issue: 24(1)
Published: March 3, 2025
Language: Английский
Citations
0
Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 147 - 171
Published: Jan. 1, 2025
Citations
0
Phytochemical Analysis, Journal Year: 2025, Volume and Issue: unknown
Published: March 14, 2025
ABSTRACT Introduction Geum japonicum Thunb. var. chinense F. Bolle (GJ) holds significance as a traditional Miao medicine, one of China's ethnic minorities, extensively utilized in the clinical management cardiovascular ailments. However, little attention has been directed toward chemical constituents GJ, well metabolic and distribution its vivo. Objective The objective this study is to qualitatively analyze their prototype components metabolites Methods We established reliable method using ultra‐high‐performance liquid chromatography coupled with quadrupole Exactive Orbitrap mass spectrometry (UHPLC‐Q‐Exactive Orbitrap‐MS) conduct comprehensive analysis GJ systematically screen metabolite rat plasma, urine, feces, brain, heart, liver, spleen, kidney after gastric perfusion. Results A total 94 compounds were identified or tentatively characterized GJ. Moreover, 75 vivo from rats gavaged 500 mg/kg extract, including 19 56 metabolites. pathways, Phase I reactions II reactions, for absorbed constituents, explored summarized. pathways proposed, which shed light on mechanism. Conclusion This first systematic vitro. further proposed.
Language: Английский
Citations
0
Clinical and Translational Medicine, Journal Year: 2025, Volume and Issue: 15(4)
Published: March 28, 2025
Abstract Atherosclerosis is a chronic inflammatory condition of the arteries, marked by development plaques within arterial intima. The rupture unstable can lead to thrombosis, downstream vessel occlusion and serious clinical events. composition atherosclerotic complex highly heterogeneous, posing challenges for their study. current pathology histological subtype classification may fail fully encompass microscopic molecular components in tissue, disease progress various stages atherosclerosis potential mechanism plaque rupture. However, spatial mapping heterogeneity tissue enhance our understanding these lesions. Despite considerable made traditional omics field research, its status as an indispensable technology, there remain inherent limitations investigation minute molecular. In recent years, techniques have advanced significantly, enabling visualisation analysis specific that serve causal targets associated with progression. effective application both research settings represents promising area further exploration. This review focuses on advancements findings related study extracranial carotid cerebrovascular disease. Spatial facilitate detection biomarkers diagnostic significance or relevance disease, offering new methods insights into diagnosis complications.
Language: Английский
Citations
0
Seminars in Nephrology, Journal Year: 2025, Volume and Issue: unknown, P. 151584 - 151584
Published: April 1, 2025
Omics technologies have transformed nephrology, providing deep insights into molecular mechanisms of kidney disease and enabling more precise diagnostic tools, therapeutic strategies, prognostic markers. Multi-omics data integration, spanning bulk, single-cell, spatial omics, offers a comprehensive view biology in health disease. In this review, we explore methods challenges for integrating transcriptomic, epigenomic, data. By combining omics layers, researchers can uncover novel interactions tissue organization, advancing our understanding diseases like diabetic autosomal polycystic This integrated approach is reshaping strategies nephrology critical optimizing available from multi-omics analysis. Semin Nephrol 36:x-xx © 20xx Elsevier Inc. All rights reserved.
Language: Английский
Citations
0