Transcriptomic and Multi-scale Network Analyses Reveal Key Drivers of Cardiovascular Disease DOI Creative Commons
Bat‐Ider Tumenbayar, Khanh Pham, John C. Biber

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 16, 2024

ABSTRACT Cardiovascular diseases (CVDs) and pathologies are often driven by changes in molecular signaling communication, as well cellular tissue components, particularly those involving the extracellular matrix (ECM), cytoskeleton, immune response. The fine-wire vascular injury model is commonly used to study neointimal hyperplasia vessel stiffening, but it not typically considered a for CVDs. In this paper, we hypothesize that induces gene expression, biological processes similar observed CVDs at both transcriptome protein levels. To investigate this, analyzed expression microarray datasets from injured uninjured femoral arteries mice two weeks post-injury, identifying 1,467 significantly differentially expressed genes involved several such including vaso-occlusion, arrhythmia, atherosclerosis. We further constructed protein-protein interaction network with seven functionally distinct clusters, notable enrichment ECM, metabolic processes, actin-based process, Significant communications were between most prominently among ECM cytoskeleton organizations, inflammation, cell cycle. Machine Learning Disease pathway analysis revealed injury-induced crosstalk remodeling response clusters contributed aortic aneurysm, neovascularization of choroid, kidney failure. Additionally, found interactions actin cytoskeletal reorganization linked cardiac damage, carotid artery occlusion, lesions. Overall, through multi-scale bioinformatic analyses, demonstrated robustness eliciting transcriptomic associated CVDs, highlighting its potential use cardiovascular research.

Language: Английский

Novel 3-D Macrophage Spheroid Model Reveals Reciprocal Regulation of Immunomechanical Stress and Mechano-Immunological Response DOI Creative Commons
Alice Burchett, Saeed Siri, Jun Li

et al.

Cellular and Molecular Bioengineering, Journal Year: 2024, Volume and Issue: 17(5), P. 329 - 344

Published: Oct. 1, 2024

In many diseases, an overabundance of macrophages contributes to adverse outcomes. While numerous studies have compared macrophage phenotype after mechanical stimulation or with varying local stiffness, it is unclear if and how directly contribute forces in their microenvironment.

Language: Английский

Citations

1

Flexible and multi-functional three-dimensional scaffold based on enokitake-like Au nanowires for real-time monitoring of endothelial mechanotransduction DOI
Hui Gao, Wenjing Peng,

Yaqiu Zhou

et al.

Biosensors and Bioelectronics, Journal Year: 2024, Volume and Issue: 263, P. 116610 - 116610

Published: July 27, 2024

Language: Английский

Citations

1

The immunomicrotope of Leishmania control and persistence DOI Creative Commons
Christian Bogdan, Noor-A-Kasida Islam, David Barinberg

et al.

Trends in Parasitology, Journal Year: 2024, Volume and Issue: 40(9), P. 788 - 804

Published: Aug. 23, 2024

HighlightsOxygen and arginine availability, the tonicity acidity in tissue, have a major impact on type 2 nitric oxide synthase (NOS2) activity situ.Commensal microbiota of skin is critical for induction protective immune responses to Leishmania, but it also contributes tissue pathology, depending context.During both acute persistent phases infection, Leishmania parasites retreat into hematopoietic as well non-hematopoietic host cells that function safe replicative niches.AbstractLeishmania an intracellular protozoan transmitted by sand fly vectors; causes cutaneous, mucocutaneous, or visceral disease. Its growth survival are impeded 1 T helper cell responses, which entail interferon (IFN)-γ-mediated macrophage activation. partially escapes this defense triggering cytokine favor parasite replication rather than killing. Novel methods situ analyses revealed pathways control microbial evasion strongly influenced context, micro milieu factors, metabolism at site we collectively term 'immunomicrotope'. Understanding components immunomicrotope will enable development novel strategies treatment chronic leishmaniasis.

Language: Английский

Citations

1

Development of Biomaterials to Modulate the Function of Macrophages in Wound Healing DOI Creative Commons
Jiacheng Li, Jingzhong Xie, Chao Wang

et al.

Bioengineering, Journal Year: 2024, Volume and Issue: 11(10), P. 1017 - 1017

Published: Oct. 12, 2024

Wound healing is a complex and precisely regulated process that encompasses multiple stages, including inflammation, anti-inflammation, tissue repair. It involves various cells signaling molecules, with macrophages demonstrating significant degree of plasticity playing crucial regulatory role at different stages. In recent years, the use biomaterials, which include both natural synthetic polymers or macromolecules, has proliferated for purpose enhancing wound healing. This review summarizes how these diverse biomaterials promote by modulating macrophage behavior examines broader implications modulations. Additionally, we discuss limitations associated clinical application immunomodulatory propose potential solutions. Finally, look towards future developments in design intended to enhance

Language: Английский

Citations

1

Transcriptomic and Multi-scale Network Analyses Reveal Key Drivers of Cardiovascular Disease DOI Creative Commons
Bat‐Ider Tumenbayar, Khanh Pham, John C. Biber

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 16, 2024

ABSTRACT Cardiovascular diseases (CVDs) and pathologies are often driven by changes in molecular signaling communication, as well cellular tissue components, particularly those involving the extracellular matrix (ECM), cytoskeleton, immune response. The fine-wire vascular injury model is commonly used to study neointimal hyperplasia vessel stiffening, but it not typically considered a for CVDs. In this paper, we hypothesize that induces gene expression, biological processes similar observed CVDs at both transcriptome protein levels. To investigate this, analyzed expression microarray datasets from injured uninjured femoral arteries mice two weeks post-injury, identifying 1,467 significantly differentially expressed genes involved several such including vaso-occlusion, arrhythmia, atherosclerosis. We further constructed protein-protein interaction network with seven functionally distinct clusters, notable enrichment ECM, metabolic processes, actin-based process, Significant communications were between most prominently among ECM cytoskeleton organizations, inflammation, cell cycle. Machine Learning Disease pathway analysis revealed injury-induced crosstalk remodeling response clusters contributed aortic aneurysm, neovascularization of choroid, kidney failure. Additionally, found interactions actin cytoskeletal reorganization linked cardiac damage, carotid artery occlusion, lesions. Overall, through multi-scale bioinformatic analyses, demonstrated robustness eliciting transcriptomic associated CVDs, highlighting its potential use cardiovascular research.

Language: Английский

Citations

0