Cardiovascular Tissue Research Articles

Alginate-chitosan hydrogel formulations for VEGFA expressed baculovirus delivery promoting angiogenesis for wound healing and revascularization

Abstract Background Baculoviruses, engineered to express growth factors, offer a promising avenue for short-term gene therapy, such as wound dressings, due to their safety and specificity. Encapsulation in natural polymers like alginate and chitosan addresses limitations like serum inactivation and fragility, while promoting sustained delivery and shielding from immune inactivation. Wound healing involves complex processes that can be enhanced by maintaining an antimicrobial, moist environment, which promotes cell migration and angiogenesis. Vascular endothelial cell growth factor A (VEGFA) is known to be one of the most potent pro-angiogenic factors and plays a key role in wound healing. Purpose This investigation seeks to enhance wound healing and angiogenesis, support the revascularization process, and provide anti-inflammatory and anti-microbial effects. Additionally, it aims to assess the preclinical efficacy and safety of the approach. Methods Ionic cross-linking was used for virus encapsulation under aseptic conditions. The capsules were assessed for their surface morphology, particle size, zeta potential, and in vitro release profile. Additionally, their therapeutic potential was studied using cell lines. The efficacy of hydrogel delivery of VEGFA-expressing baculoviruses in promoting cell migration and angiogenesis for wound healing applications was investigated on Human Umbilical Vein Endothelial Cells (HUVECs). Hydrogel morphology, swelling, and encapsulation efficiency were evaluated, along with endothelial tube formation assays and hemocompatibility studies on HUVECs. Results Encapsulation of baculovirus expressing the VEGFA gene in alginate and chitosan–alginate hydrogels achieve a high encapsulation efficiency of 99.9%. This allows for prolonged virus delivery and an increased therapeutic window. The encapsulated baculovirus maintains activity and is released over eight days, with a transduction efficiency of over 40%. This promotes tube formation, cell proliferation, and cell migration for angiogenesis, particularly beneficial for chronic wound-healing applications. The hydrogels also prevented E. coli and C. albicans growth directly below and inhibited C. albicans growth surrounding the alginate–chitosan hydrogels. The hydrogels demonstrated no cytotoxicity and good blood compatibility. Conclusion This proof of concept underscores the potential of encapsulated baculovirus delivery systems for various gene therapy applications including cardiovascular tissue regeneration and revascularization.

Chlorella-enriched hydrogels protect against myocardial damage and reactive oxygen species production in an in vitro ischemia/reperfusion model using cardiac spheroids

Microalgae have emerged as promising photosynthetic microorganisms for biofabricating advanced tissue constructs, with improved oxygenation and reduced reactive oxygen species (ROS) production. However, their use in the engineering of human tissues has been limited due to their intrinsic growth requirements, which are not compatible with human cells. In this study, we first formulated alginate-gelatin (AlgGel) hydrogels with increasing densities ofChlorella vulgaris. Then, we characterised their mechanical properties and pore size. Finally, we evaluated their effects on cardiac spheroid (CS) pathophysiological response under control and ischemia/reperfusion (I/R) conditions. Our results showed that the addition ofChlorelladid not affect AlgGel mechanical properties, while the mean pore size significantly decreased by 35% in the presence of the 107cells ml-1microalgae density. Under normoxic conditions, the addition of 107Chlorellacells ml-1significantly reduced CS viability starting from 14 d in. No changes in pore size nor CS viability were measured for hydrogels containing 105and 106Chlorellacells ml-1. In our I/R model, allChlorella-enriched hydrogels reduced cardiac cell sensitivity to hypoxic conditions with a corresponding reduction in ROS production, as well as protected against I/R-induced reduction in cell viability. Altogether, our results support a promising use ofChlorella-enriched Alg-Gel hydrogels for cardiovascular tissue engineering.

Acute kidney disease in mice is associated with early cardiovascular dysfunction

Acute kidney injury (AKI) and chronic kidney disease (CKD) are major health concerns due to their increasing incidence and high mortality. They are interconnected syndromes; AKI without recovery evolves into acute kidney disease (AKD), which can indicate an AKI-to-CKD transition. Both AKI and CKD are associated with a risk of long-term cardiovascular complications, but whether vascular and cardiac dysfunctions can occur as early as the AKD period has not been studied extensively. In a mouse model of kidney injury (KI) with non-recovery, we performed vasoreactivity and echocardiography analyses on days 15 (D15) and 45 (D45) after KI. We determined the concentrations of two major gut-derived protein-bound uremic toxins known to induce cardiovascular toxicity—indoxyl sulfate (IS) and para-cresyl sulfate (PCS)—and the levels of inflammation and contraction markers on D7, D15, and D45. Mice with KI showed acute tubular and interstitial kidney lesions on D7 and D15 and chronic glomerulosclerosis on D45. They showed significant impairment of aorta relaxation and systolic-diastolic heart function, both on D15 and D45. Such dysfunction was associated with downregulation of the expression of two contractile proteins, αSMA and SERCA2a, with a more pronounced effect on D15 than on D45. KI was also followed by a rapid increase in IS and PCS serum concentrations and the expression induction of pro-inflammatory cytokines and endothelial adhesion molecules in serum and cardiovascular tissues. Therefore, these results highlight that AKD leads to early cardiac and vascular dysfunctions. How these dysfunctions could be managed to prevent cardiovascular events deserves further study.

The Opportunistic Pathogen Staphylococcus warneri: Virulence and Antibiotic Resistance, Clinical Features, Association with Orthopedic Implants and Other Medical Devices, and a Glance at Industrial Applications.

In recent decades, the risk of developing opportunistic infections has increased in parallel with the ever-increasing number of people suffering from chronic immunosuppressive diseases or undergoing prosthetic surgery. Staphylococcus warneri is a Gram-positive and coagulase-negative bacterium. Usually found as a component of the healthy human and animal microbiota of the skin and mucosae, it can take on the role of an opportunistic pathogen capable of causing a variety of infections, ranging from mild to life-threatening, not only in immunocompromised patients but even, although rarely, in healthy people. Here, in addition to a concise discussion of the identification and distinguishing features of S. warneri compared to other staphylococcal species, a systematic overview of the findings from case reports and clinical studies is provided. The paper highlights the virulence and antibiotic resistance profiles of S. warneri, the different clinical contexts in which it has proven to be a serious pathogen, emphasizing its ability to colonize artificial prosthetic materials and its tropism for musculoskeletal and cardiovascular tissues. Some original data on orthopedic implant infections by S. warneri complement the discussion. Finally, from a different perspective, the paper addresses the possibilities of industrial exploitation of this bacterium.

Impacts of micro- and nanoplastic exposure on the cardiovascular system: a systematic review focused on in vivo studies

Microplastics and nanoplastics, degraded plastic polymers, are increasing in the environment, raising concerns about their potential health impacts, particularly on the cardiovascular system. This systematic review aimed to investigate the prospective effects of MPs and NPs on cardiovascular toxicity. This study was written following the PRISMA 2020 guidelines. The risk of bias in the included studies was assessed using the SYRCLE tool. Our review included 38 in vivo studies dating back from 2017 to 2024 from several databases, including PubMed, ScienceDirect, SpringerLink, Taylor & Francis, ProQuest, and Wiley Online Library, with inclusion criteria of (PECOS) (1) Population: Animal; (2) Exposure: All types of exposure to micro nanoplastics; (3) Comparison: Placebo/ Control; (4) Outcome: Cardiotoxicity, inhibition of development of cardiovascular tissue, oxidative stress, inflammation, and abnormal structure; and (5) Study design: In vivo experimental study. Studies reveal that MPs and NPs cause cardiovascular toxicity through deposition, morphological changes, biomarker alterations, metabolism changes, and genetic regulation related to injury, inflammation, and oxidative stress. This study is limited to the comparison of the different particle sizes, dose of exposure, and duration of exposure effects toward cardiotoxicity, and does not compare the different effects of toxicity between different particle types.

Epigenetic regulation by polycomb repressive complex 1 promotes cerebral cavernous malformations.

Cerebral cavernous malformations (CCMs) are anomalies of the cerebral vasculature. Loss of the CCM proteins CCM1/KRIT1, CCM2, or CCM3/PDCD10 trigger a MAPK-Krüppel-like factor 2 (KLF2) signaling cascade, which induces a pathophysiological pattern of gene expression. The downstream target genes that are activated by KLF2 are mostly unknown. Here we show that Chromobox Protein Homolog 7 (CBX7), component of the Polycomb Repressive Complex 1, contributes to pathophysiological KLF2 signaling during zebrafish cardiovascular development. CBX7/cbx7a mRNA is strongly upregulated in lesions of CCM patients, and in human, mouse, and zebrafish CCM-deficient endothelial cells. The silencing or pharmacological inhibition of CBX7/Cbx7a suppresses pathological CCM phenotypes in ccm2 zebrafish, CCM2-deficient HUVECs, and in a pre-clinical murine CCM3 disease model. Whole-transcriptome datasets from zebrafish cardiovascular tissues and human endothelial cells reveal a role of CBX7/Cbx7a in the activation of KLF2 target genes including TEK, ANGPT1, WNT9, and endoMT-associated genes. Our findings uncover an intricate interplay in the regulation of Klf2-dependent biomechanical signaling by CBX7 in CCM. This work also provides insights for therapeutic strategies in the pathogenesis of CCM.

Aging and rejuvenation of engineered cardiovascular tissues: from research to clinical application

Aging is a key contributor to the pathogenesis of cardiovascular diseases (CVDs). However, current methods and models of CVD do not include the factor of aging due to the use of premature cardiomyocytes. There is an urgent need for an engineered cardiovascular tissue (ECT) model that includes aging as the greatest CVD risk factor to facilitate drug development for aged CVD patients. Cell therapy, which transplants pluripotent stem cell-derived cardiomyocytes in patients, was proved to be effective for cardiac repair, while the cell retention rate is limited. Alternatively, implantation of ECT could enable long-term retention of cells after translation and may result in rejuvenation in aged hearts. This review summarizes the key features of aging and the influencing factors in engineered cardiovascular tissues. The applications and challenges of engineered myocardium designed for clinical use are also discussed.

Scientific evaluation on biodegradable and biofunctional polyurethane incorporated chitosan/elastin electrospun membranes in compared with synthetic polymeric expanded polytetrafluoroethylene and polyethylene terephthalate vascular membranes

Cardiovascular disease is a life-threatening health problem. Employing vascular membranes is one of the treatment options in cardiovascular surgery to replace damaged vascular tissues. However, certain limitations associated with synthetic polymeric vascular membranes (expanded polytetrafluoroethylene (e-PTFE) and polyethylene terephthalate (PET)) such as low biodegradability and biofunctional, may lead to thrombosis, inflammatory response, and tissue necrosis. Polyurethane (PU) is commonly applied in vascular engineering, owing to its good biocompatibility and biodegradability. Incorporating chitosan (CS) and elastin (EL) into the PU matrix, specifically in the design of electrospun nanofibrous membrane, is expected to enhance the biological properties of PU. These improvements are crucial to overcome the limitations of synthetic vascular membranes. Previously, there was no scientific comparison between synthetic vascular membranes and the improved design of PU-based nanofibrous membranes. This scientific comparison is pivotal to allow more research exploration on biodegradable and biofunctional materials towards the fabrication of vascular membranes. Herein, the physicochemical, biodegradability, and biofunctional capability of the electrospun PU-based electrospun membranes and two synthetic membranes were compared. Both PU and PU/CS/ES electrospun membranes were annotated with N–H, C–H, and C–N groups with the appearance of elongated fibers. The –CF2 group was presented in the e-PTFE membranes with the view of expanded fibril structure and interconnecting nodes. Whereas for the PET membranes, C=C, C=O, and C–O groups were noticed with the appearance of homogeneous knitted morphology. The PU/CS/ES membranes were found to be more hydrophilic than the PU and the synthetic membranes. The incorporation of CS and EL in the matrix of electrospun PU has improved the PU's biodegradability up to 23.86 ± 5.86 % at 60 days of incubation with the view of swollen and degraded elongated fibers, following the degradation test. Both synthetic polymeric membranes were declared non-biodegradable with less than 7 % degradation at similar incubation timepoint. The PU/CS/ES membranes were also found biofunctional with the most 82 ± 0.49 % of cell viability, protruded cell filopodia, and 44.24 ± 13.99 % scratch cell closure within 24 h of incubation. The incorporation of CS and EL into the PU matrix has improved the biodegradability and biofunctionality compared to the pure PU and synthetic polymeric membranes. Thus, highlight the suitability of PU/CS/ES electrospun membranes to be applied in cardiovascular tissue engineering.

Advances in melt electrowriting for cardiovascular applications.

Melt electrowriting (MEW) is an electric-field-assisted additive biofabrication technique that has brought significant advancements to bioinspired scaffold design for soft tissue engineering and beyond. Owing to its targeted microfiber placement, MEW has become a powerful platform technology for the fabrication of in vitro disease models up to functional biohybrid constructs that are investigated in vivo to reach clinical translation soon. This work provides a concise overview of this rapidly evolving field by highlighting the key contributions of MEW to cardiovascular tissue engineering. Specifically, we i) pinpoint the methods to introduce microvascular networks in thick 3D constructs benefitting from (sacrificial) MEW microfibers, ii) report MEW-based concepts for small-diameter vascular grafts and stents, iii) showcase how contracting cardiac tissues can profit from the tunable structure-property relationship of MEW scaffolds, and iv) address how complete regenerative heart valves can be built on complex fiber scaffold architectures that recapitulate J-shaped tensile properties and tissue heterogeneity. Lastly, we touch on novel biomaterial advancements and discuss the technological challenges of MEW to unlock the full potential of this transformative technology.

Cardiac Organoids: A 3D Technology for Disease Modeling and Drug Screening.

Cardiovascular diseases remain the leading cause of death worldwide; therefore, there is increasing attention to developing physiological-related in vitro cardiovascular tissue models suitable for personalized healthcare and preclinical test. Recently, more complex and powerful in vitro models have emerged for cardiac research. Human cardiac organoids (HCOs) are three-dimensional (3D) cellular constructs similar to in vivo organs. They are derived from pluripotent stem cells and can replicate the structure, function, and biogenetic information of primitive tissues. High-fidelity HCOs are closer to natural human myocardial tissue than animal and cell models to some extent, which helps to study better the development process of the heart and the occurrence of related diseases. In this review, we introduce the methods for constructing HCOs and the application of them, especially in cardiovascular disease modeling and cardiac drug screening. In addition, we propose the prospects and limitations of HCOs. In summary, we have introduced the research progress of HCOs and described their innovation and practicality of them in the biomedical field.

Effect of alantolactones on cardiac parameters of animals under artificially induced oxidative stress.

Phytochemicals have been found effective in reducing the oxidative stress and damage to cardiovascular and other tissues. In this study, the effects of alantolactone (AL) on cardiac parameters in rabbits exposed to artificially-induced oxidative stress were investigated. The oxidative stress was induced in a group of White New Zealand rabbits by injecting 40% hydrogen peroxide solution (1 ml/kg body weight) thrice with an interval of 72 h. The hydrogen peroxide-treated animals were orally treated with AL extracted from the roots of Inula helenium (1 ml/kg repeated thrice after 72 h). Blood samples were taken before and after the hydrogen peroxide and AL treatments, and the sera were subjected to analysis of oxidative damage in terms of malondialdehyde content (MDA), total antioxidant activity (TAOA), linoleic acid reduction capacity (LARC), hydroxyl radical scavenging capacity (HRSC), 2,2-diphenyl-1-picrylhydrazyl radical scavenging capacity (DPPH RSC), superoxide dismutase activity (SOD) and catalase activity, and cardiac parameters including troponin-I content (Trop-I), creatine kinase-MB (CKMB), aspartate transaminase (AST). The hydrogen peroxide treatment substantially enhanced MDA content and SOD activity and decreased LARC, HRSC, DPPH, and catalase activity. The AL treatment significantly decreased MDA content, TAOA, Trop-I, CK-MB, and AST levels and increased LARC, DPPH RSC, HRSC, and catalase activity. The observed effect of AL treatment on the animals' oxidative stress, antioxidant status, and cardiac biomarkers emphasizes that AL may effectively manage oxidative stress and cardiac damage.

Methylene blue reduces monoamine oxidase expression and oxidative stress in human cardiovascular adipose tissue.

Cardiovascular diseases represent the major cause of morbidity mainly due to chronic heart failure. Epicardial (EAT) and perivascular adipose tissues (PVAT) are considered major contributors to the pathogenesis of cardiometabolic pathologies. Monoamine oxidases (MAOs) are mitochondrial enzymes recognized as sources of reactive oxygen species (ROS) in cardiometabolic pathologies. Methylene blue (MB) is one of the oldest protective agents, yet no data are available about its effects on adipose tissue. The present pilot study was aimed at assessing the effects of MB: (i) on MAO expression and (ii) oxidative stress in EAT and PVAT harvested from patients with heart failure subjected to cardiac surgery (n = 25). Adipose tissue samples were incubated with MB (0.1µM/24h) and used for the assessment of MAO gene and protein expression (qPCS and immune fluorescence) and ROS production (confocal microscopy and spectrophotometry). The human cardiovascular adipose tissues contain both MAO isoforms, predominantly MAO-A. Incubation with MB reduced MAOs expression and oxidative stress; co-incubation with serotonin, the MAO-A substrate, further augmented ROS generation, an effect partially reversed by MB. In conclusion, MAO-A is the major isoform expressed in EAT and PVAT and contribute to local oxidative stress; both effects can be mitigated by methylene blue.

Robust automated calcification meshing for personalized cardiovascular biomechanics

Calcification has significant influence over cardiovascular diseases and interventions. Detailed characterization of calcification is thus desired for predictive modeling, but calcium deposits on cardiovascular structures are still often manually reconstructed for physics-driven simulations. This poses a major bottleneck for large-scale adoption of computational simulations for research or clinical use. To address this, we propose an end-to-end automated image-to-mesh algorithm that enables robust incorporation of patient-specific calcification onto a given cardiovascular tissue mesh. The algorithm provides a substantial speed-up from several hours of manual meshing to ~1 min of automated computation, and it solves an important problem that cannot be addressed with recent template-based meshing techniques. We validated our final calcified tissue meshes with extensive simulations, demonstrating our ability to accurately model patient-specific aortic stenosis and Transcatheter Aortic Valve Replacement. Our method may serve as an important tool for accelerating the development and usage of personalized cardiovascular biomechanics.

Oxygen-generating biomaterials for cardiovascular engineering: unveiling future discoveries

Oxygen-generating biomaterials are emerging as a groundbreaking solution for transforming cardiovascular engineering. These biomaterials generate and release oxygen within various biomedical applications, marking a new frontier in healthcare. Most cardiovascular treatments face a significant challenge, ensuring a consistent oxygen supply to nurture engineered tissues or even implanted devices. Traditional methods relying on passive oxygen diffusion often fall short, hindering functional cardiovascular tissue development. Oxygen-generating biomaterials, incorporating agents like calcium peroxide, provide a controlled oxygen source to the surrounding cells. This innovation potentially enhances cell viability, stimulates growth and boosts metabolic activity crucial for tissue health. Applications include repairing cardiac and vascular tissues, disease modeling, drug testing and personalized medicine, promising tailored treatments. Challenges like material toxicity and oxygen release control need consideration. As research progresses, the use of these innovative biomaterials in clinical translation could reshape cardiovascular healthcare, revolutionizing patient outcomes in heart disease treatment.

Reduced osmium-tetroxide-osmium, lanthanides, and phosphotungstic acid allow whole-specimen, organelle-resolution analysis of epoxy resin-embedded cardiovascular tissues

Reduced osmium-tetroxide-osmium, lanthanides, and phosphotungstic acid allow whole-specimen, organelle-resolution analysis of epoxy resin-embedded cardiovascular tissues

Magnetic Cell Targeting for Cardiovascular Tissue Engineering.

There is a critical need for novel approaches to translate cell therapy and regenerative medicine to clinical practice. Magnetic cell targeting with site specificity has started to open avenues in these fields as a potential therapeutic platform. Magnetic targeting is gaining popularity in the field of biomedicine due to its ability to concentrate and retain at a target site while minimizing deleterious effects at off-target sites. It is regarded as a relatively straightforward and safe approach for a wide range of therapeutic applications. This review discusses the latest advancements and approaches in magnetic cell targeting using endocytosed and surface-bound magnetic nanoparticles as well as invivo tracking using magnetic resonance imaging (MRI). The most common form of magnetic nanoparticles is superparamagnetic iron oxide nanoparticles (SPION). The biodegradable and biocompatible properties of these magnetically responsive particles and capacity for rapid endocytosis into cells make them a breakthrough in targeted therapy. This review further discusses specific applications of magnetic targeting approaches in cardiovascular tissue engineering including myocardial regeneration, therapeutic angiogenesis, and endothelialization of implantable cardiovascular devices.

A Comprehensive Review of Ocular Manifestations in Systemic Diseases.

Ocular manifestations often serve as critical indicators of underlying systemic diseases, providing valuable diagnostic and prognostic information. This comprehensive review aims to elucidate the complex interplay between ocular symptoms and systemic conditions, emphasising the importance of early recognition and interdisciplinary collaboration in patient management. The review encompasses various systemic diseases, including cardiovascular, autoimmune, infectious, neurological, endocrine, hematologic, genetic, dermatologic, gastrointestinal, hepatic, renal, and connective tissue disorders, highlighting their specific ocular manifestations. Diagnostic approaches, including ophthalmologic examination techniques, imaging modalities, and laboratory tests, are discussed to enhance diagnostic accuracy. Furthermore, the review outlines current management and treatment strategies, emphasising the need for a multidisciplinary approach to care. Emerging therapies and future research directions are also explored, underscoring the necessity of continued innovation in this field. This review aims to improve clinical practices, promote integrative healthcare, and ultimately enhance patient outcomes by providing a detailed overview of ocular manifestations in systemic diseases.

Epigenetic Regulation of the Renin-Angiotensin-Aldosterone System in Hypertension.

Activation of the renin-angiotensin-aldosterone system (RAAS) plays an important pathophysiological role in hypertension. Increased mRNA levels of the angiotensinogen angiotensin-converting enzyme, angiotensin type 1 receptor gene, Agtr1a, and the aldosterone synthase gene, CYP11B2, have been reported in the heart, blood vessels, and kidneys in salt-sensitive hypertension. However, the mechanism of gene regulation in each component of the RAAS in cardiovascular and renal tissues is unclear. Epigenetic mechanisms, which are important for regulating gene expression, include DNA methylation, histone post-translational modifications, and microRNA (miRNA) regulation. A close association exists between low DNA methylation at CEBP-binding sites and increased AGT expression in visceral adipose tissue and the heart of salt-sensitive hypertensive rats. Several miRNAs influence AGT expression and are associated with cardiovascular diseases. Expression of both ACE and ACE2 genes is regulated by DNA methylation, histone modifications, and miRNAs. Expression of both angiotensinogen and CYP11B2 is reversibly regulated by epigenetic modifications and is related to salt-sensitive hypertension. The mineralocorticoid receptor (MR) exists in cardiovascular and renal tissues, in which many miRNAs influence expression and contribute to the pathogenesis of hypertension. Expression of the 11beta-hydroxysteroid dehydrogenase type 2 (HSD11B2) gene is also regulated by methylation and miRNAs. Epigenetic regulation of renal and vascular HSD11B2 is an important pathogenetic mechanism for salt-sensitive hypertension.

Research Progress of Engineered Exosomes in the Treatment of Lung Cancer

The best treatment for non-small cell lung cancer is early surgical treatment, but most lung cancer is diagnosed at an advanced stage. The main treatment methods are drug and radiotherapy. However, drug resistance or no signifi cant effect of the above treatment methods is inevitable. Therefore, more methods are urgently needed for the treatment of lung cancer. Studies have confirmed that engineered exosomes have good clinical application potential in cardiovascular diseases, tumors, tissue regeneration and repair. This paper summarizes the application of engineered exosomes in the treatment of lung cancer at home and abroad. .

Review of Machine Learning Techniques in Soft Tissue Biomechanics and Biomaterials.

Advanced material models and material characterization of soft biological tissues play an essential role in pre-surgical planning for vascular surgeries and transcatheter interventions. Recent advances in heart valve engineering, medical device and patch design are built upon these models. Furthermore, understanding vascular growth and remodeling in native and tissue-engineered vascular biomaterials, as well as designing and testing drugs on soft tissue, are crucial aspects of predictive regenerative medicine. Traditional nonlinear optimization methods and finite element (FE) simulations have served as biomaterial characterization tools combined with soft tissue mechanics and tensile testing for decades. However, results obtained through nonlinear optimization methods are reliable only to a certain extent due to mathematical limitations, and FE simulations may require substantial computing time and resources, which might not be justified for patient-specific simulations. To a significant extent, machine learning (ML) techniques have gained increasing prominence in the field of soft tissue mechanics in recent years, offering notable advantages over conventional methods. This review article presents an in-depth examination of emerging ML algorithms utilized for estimating the mechanical characteristics of soft biological tissues and biomaterials. These algorithms are employed to analyze crucial properties such as stress-strain curves and pressure-volume loops. The focus of the review is on applications in cardiovascular engineering, and the fundamental mathematical basis of each approach is also discussed. The review effort employed two strategies. First, the recent studies of major research groups actively engaged in cardiovascular soft tissue mechanics are compiled, and research papers utilizing ML and deep learning (DL) techniques were included in our review. The second strategy involved a standard keyword search across major databases. This approach provided 11 relevant ML articles, meticulously selected from reputable sources including ScienceDirect, Springer, PubMed, and Google Scholar. The selection process involved using specific keywords such as "machine learning" or "deep learning" in conjunction with "soft biological tissues", "cardiovascular", "patient-specific," "strain energy", "vascular" or "biomaterials". Initially, a total of 25 articles were selected. However, 14 of these articles were excluded as they did not align with the criteria of focusing on biomaterials specifically employed for soft tissue repair and regeneration. As a result, the remaining 11 articles were categorized based on the ML techniques employed and the training data utilized. ML techniques utilized for assessing the mechanical characteristics of soft biological tissues and biomaterials are broadly classified into two categories: standard ML algorithms and physics-informed ML algorithms. The standard ML models are then organized based on their tasks, being grouped into Regression and Classification subcategories. Within these categories, studies employ various supervised learning models, including support vector machines (SVMs), bagged decision trees (BDTs), artificial neural networks (ANNs) or deep neural networks (DNNs), and convolutional neural networks (CNNs). Additionally, the utilization of unsupervised learning approaches, such as autoencoders incorporating principal component analysis (PCA) and/or low-rank approximation (LRA), is based on the specific characteristics of the training data. The training data predominantly consists of three types: experimental mechanical data, including uniaxial or biaxial stress-strain data; synthetic mechanical data generated through non-linear fitting and/or FE simulations; and image data such as 3D second harmonic generation (SHG) images or computed tomography (CT) images. The evaluation of performance for physics-informed ML models primarily relies on the coefficient of determination . In contrast, various metrics and error measures are utilized to assess the performance of standard ML models. Furthermore, our review includes an extensive examination of prevalent biomaterial models that can serve as physical laws for physics-informed ML models. ML models offer an accurate, fast, and reliable approach for evaluating the mechanical characteristics of diseased soft tissue segments and selecting optimal biomaterials for time-critical soft tissue surgeries. Among the various ML models examined in this review, physics-informed neural network models exhibit the capability to forecast the mechanical response of soft biological tissues accurately, even with limited training samples. These models achieve high values ranging from 0.90 to 1.00. This is particularly significant considering the challenges associated with obtaining a large number of living tissue samples for experimental purposes, which can be time-consuming and impractical. Additionally, the review not only discusses the advantages identified in the current literature but also sheds light on the limitations and offers insights into future perspectives.