Multi-organ-on-a-chip(MOOC)technology represents a pivotal direction in the organ-on-a-chip field,seeking to emulate the complex interactions of multiple human organs in vitro through microfluidic systems.This technol...Multi-organ-on-a-chip(MOOC)technology represents a pivotal direction in the organ-on-a-chip field,seeking to emulate the complex interactions of multiple human organs in vitro through microfluidic systems.This technology overcomes the limitations of traditional single-organ models,providing a novel platform for investigating complex disease mechanisms and evaluating drug efficacy and toxicity.Although it demonstrates broad application prospects,its development still faces critical bottlenecks,including inadequate physiological coupling between organs,short functional maintenance durations,and limited real-time monitoring capabilities.Contemporary research is advancing along three key directions,including functional coupling,sensor integration,and full-process automation systems,to propel the technology toward enhanced levels of physiological relevance and predictive accuracy.展开更多
Background:The development of materials for cardiovascular surgery that would improve the effectiveness of surgical interventions remains an important task.Surgical intervention during the implantation of vascular pro...Background:The development of materials for cardiovascular surgery that would improve the effectiveness of surgical interventions remains an important task.Surgical intervention during the implantation of vascular prostheses and stents,and the body’s reaction to artificial materials,could lead to chronic inflammation,a local increase in the concentration of proinflammatory factors,and stimulation of unwanted tissue growth.The introduction of nonsteroidal anti-inflammatory drugs into implantable devices could be used to obtain vascular implants that do not induce inflammation and do not induce neointimal tissue outgrowth.Methods:The scaffolds were made by electrospinning from mixtures of polyurethane(PU)with diclofenac(DF).The kinetics of DF release from the scaffolds composed of 3%PU/10%HSA/3%DMSO/DF and 3%PU/DF were studied.The biocompatibility and anti-inflammatory effects of the obtained scaffolds on human gingival fibroblasts and umbilical vein endothelial cells were studied.Results:Both types of scaffolds are characterized by fast DF release.The viability of cells cultured on scaffolds is 2 times worse than that of cells cultured on plastic.The level of the proinflammatory cytokine IL-6 in the culture medium of cells cultured on DF-containing scaffolds was lower than that of cells cultured on scaffolds without DF.Conclusion:The introduction of DF into scaffolds minimizes the inflammation caused by cell reactions to an artificial material.展开更多
Background:The bacterial biofilm poses a significant challenge to traditional antibiotic therapy.There is a great need to develop novel antibiofilm agents combined with biofilm disrupting and bacteria-killing without ...Background:The bacterial biofilm poses a significant challenge to traditional antibiotic therapy.There is a great need to develop novel antibiofilm agents combined with biofilm disrupting and bacteria-killing without the dependence of antibiotic.Methods:Herein,we prepared ultrasound/magnetic field-responsive ferroferric oxide nanoparticles(Fe_(3)O_(4))/glucose oxidase microbubbles(FGMB)to form a cascade catalytic system for effective removing methicillin-resistant Staphylococcus aureus biofilms.FGMB were prepared through interfacial self-assembly of Fe_(3)O_(4) nanoparticles(NPs)and glucose oxidase(GOx)at the gas-liquid interface stabilized by surfactants.Under ultrasound/magnetic field stimulation,FGMB disrupted biofilm architecture through microbubble collapse-induced microjets and magnetically driven displacement.Simultaneously,ultrasound-triggered rupture of FGMB released GOx and Fe_(3)O_(4) NPs.Glucose can be oxidized by GOx to generate gluconic acid and hydrogen peroxide which was subsequently catalyzed into hydroxyl radicals by Fe_(3)O_(4) NPs,enabling chemical eradication of biofilm-embedded bacteria.Results:Optical microscopy images demonstrated that FGMB have spherical structure with average size of approximately 17μm.FGMB showed a 65.4%decrease in methicillin-resistant Staphylococcus aureus biofilm biomass and 1.1 log bacterial inactivation efficiency(91.2%),suggesting effective biofilm elimination.In vitro experimental results also indicate that FGMB have good biocompatibility.Conclusion:This antibiofilm strategy integrated dual modes of physical biofilm disruption with chemical bacteria-killing shows great potential as a versatile,non-resistant strategy for bacterial biofilm elimination.展开更多
Pediatric cancers are particularly significant due to their uncommon occurrence in children,driven by a variety of underlying factors.Because of their distinct molecular and genetic makeup,which makes early detection ...Pediatric cancers are particularly significant due to their uncommon occurrence in children,driven by a variety of underlying factors.Because of their distinct molecular and genetic makeup,which makes early detection challenging,they are linked to problems.Diagnostic methods like imaging and tissue biopsy are only effective when the tumor has reached a size that can be identified.The liquid biopsy technique,the least intrusive and most convenient diagnostic method,is the subject of this review.It focuses on the significance of single cell analysis in examining uncommon cancer types.The many biomarkers found in bodily fluids and the cancer types they are linked to in children have been assessed,as has the potential route towards early detection and cancer recurrence forecasting.Combining the single cell liquid biopsy with the newest technologies,such as computational and multi-omics approaches,which have improved the efficiency of processing massive and unique genetic data,appears promising.This article discusses on a number of case reports for uncommon pediatric malignancies,such as Neuroblastoma,Medulloblastoma,Wilms Tumor,Rhabdomyosarcoma,Ewing Sarcoma,and Retinoblastoma,as well as their liquid biopsy profiles.Furthermore,the findings raise ethical questions regarding the therapeutic application of the technology as well as possible difficulties related to clinical translation.The likelihood that this single cell liquid biopsy will be clinically validated and eventually used as a routine diagnostic tool for uncommon pediatric cancers will rise with the realistic approach to sensitivity monitoring,specificity upgrading,and optimization.展开更多
Background:This study focused on developing and optimizing a self-microemulsifying drug delivery system(SMEDDS)to improve Lafutidine’s solubility and bioavailability,thereby enhancing its effectiveness in treating ga...Background:This study focused on developing and optimizing a self-microemulsifying drug delivery system(SMEDDS)to improve Lafutidine’s solubility and bioavailability,thereby enhancing its effectiveness in treating gastric ulcers.Traditional formulations are less effective due to their limited water solubility and bioavailability.Methods:The study used solubility tests,pseudo-ternary phase diagrams,and central composite design(CCD)to optimize.The formulation was optimized by varying the oil concentration(10–40%)and surfactant/cosurfactant ratio(0.33–3.00),and then tested for droplet size,drug content,emulsification,phase stability,and in vitro dissolution.Results:The study found that the optimized formulation contained 14%Capmul PG 8NF oil,62%Labrasol surfactant,and 24%Tween 80 cosurfactant.This combination generated an average droplet size of 111.02 nm and improved drug release properties.Furthermore,the formulation was stable without phase separation,with a drug content of 88.2–99.8%.Conclusion:SMEDDS significantly improves lafutidine delivery by increasing solubility and absorption,thereby overcoming oral administration challenges.The system quickly formed small droplets in water and released the drug in 15 min.Enhancing lafutidine’s bioavailability may improve its efficacy in treating gastric ulcers,resulting in better patient outcomes and potentially lower dosing frequency.展开更多
Single-cell biomechanics and electrophysiology measuring tools have transformed biological research over the last few decades,which enabling a comprehensive and nuanced understanding of cellular behavior and function....Single-cell biomechanics and electrophysiology measuring tools have transformed biological research over the last few decades,which enabling a comprehensive and nuanced understanding of cellular behavior and function.Despite their high-quality information content,these single-cell measuring techniques suffer from laborious manual processing by highly skilled workers and extremely low throughput(tens of cells per day).Recently,numerous researchers have automated the measurement of cell mechanical and electrical signals through robotic localization and control processes.While these efforts have demonstrated promising progress,critical challenges persist,including human dependency,learning complexity,in-situ measurement,and multidimensional signal acquisition.To identify key limitations and highlight emerging opportunities for innovation,in this review,we comprehensively summarize the key steps of robotic technologies in single-cell biomechanics and electrophysiology.We also discussed the prospects and challenges of robotics and automation in biological research.By bridging gaps between engineering,biology,and data science,this work aims to stimulate interdisciplinary research and accelerate the translation of robotic single-cell technologies into practical applications in the life sciences and medical fields.展开更多
Introduction The global burden of orthopedic diseases has reached unprecedented levels,with recent epidemiological data revealing that musculoskeletal conditions affect over 1.71 billion people worldwide,representing ...Introduction The global burden of orthopedic diseases has reached unprecedented levels,with recent epidemiological data revealing that musculoskeletal conditions affect over 1.71 billion people worldwide,representing a 150%increase since 1990[1].By 2050,the number of individuals aged 60 and above requiring orthopedic interventions is projected to exceed 2.1 billion,with osteoporosis alone affecting 200 million people globally.展开更多
The use of artificial intelligence(AI)in wound care has become a crucial instrument in improving the diagnosis,treatment,and management of chronic wounds.This study examines the several functions of AI in wound care,e...The use of artificial intelligence(AI)in wound care has become a crucial instrument in improving the diagnosis,treatment,and management of chronic wounds.This study examines the several functions of AI in wound care,emphasizing its ability to better wound evaluation,hasten healing,alleviate pain,and improve cost-effectiveness.AI-driven technology,including mobile applications and intelligent bandages,provides precise wound assessment,tissue analysis,and continuous monitoring,hence allowing for tailored treatment strategies and prompt intervention.Moreover,AI-driven algorithms forecast wound healing trajectories and find individuals susceptible to chronic wounds,allowing prompt preventative interventions.There are also practical issues with integrating it into clinical practice.Adding AI to current healthcare systems,like electronic medical records(EMRs),needs careful planning and teamwork to make sure that AI-driven insights are used well in real-time clinical decision-making.To make sure AI is used safely,legal frameworks need to be set up to provide clear rules for its use in healthcare.These frameworks should include openness,risk management,and data evaluation.Lastly,clinical validation and acceptance are still big problems.Many AI-powered tools don't have enough clinical validation and aren't widely available,which makes it hard to use them in everyday clinical practice.Solving these problems is important for getting the most out of AI in wound care and making sure it is used safely and effectively.The article combines current advancements and prospective trajectories in AI-assisted wound care,highlighting its revolutionary ability to revolutionize patient outcomes and healthcare delivery.展开更多
The emerging NIR-II imaging modality is promising for real-time visualization of living systems and multiple disease diagnoses,particularly through its enhanced tissue penetration and superior spatial resolution[1,2]....The emerging NIR-II imaging modality is promising for real-time visualization of living systems and multiple disease diagnoses,particularly through its enhanced tissue penetration and superior spatial resolution[1,2].Cyanine dyes possess the advantages of low administration dosage,high biocompatibility,and strong fluorescence emission intensity[3].Cyanine dyes can be easily structurally modified through molecular engineering methods,while the large hydrophobic conjugation systems hinder further in vivo imaging application.The traditional surfactant encapsulation strategy cannot effectively solve the aggregation caused-quenching issue of the dyes in aqueous solutions and may even mask their reaction active sites[4].Due to the special hydrophobic pocket to act as a probe carrier and the ability to serve as the pan-marker for multiple diseases,albumin is chosen as the preferred binding protein for cyanine dyes[5].Albumin interacts with cyanine dyes through a“hydrophobic pocket”and further improves its properties such as water solubility,biosafety,and fluorescence quantum yield.Cyanine dyes can modify the binding efficiency with albumin through structural design and regulate the targeting performance.This means that cyanine-tagged albumin can respond to pathological changes caused by different diseases and monitor the disease process in real time with high contrast through NIR-II fluorescence signals.Further development of cyanine-tagged albumin probes is helpful for in-depth comprehension of the binding mechanism and guiding the directed synthesis of cyanine molecules with specific protein binding behaviors and optical properties,thereby achieving precise targeting and high-performance NIR-II bioimaging of specific diseases.This point is essential for the design,preparation,and even clinical translation of NIR-II targeting dye molecules in precise diagnosis and treatment.展开更多
Welcome to the 4th volume of Biomedical Engineering Communications the first issue of 2025!Biomedical engineering is a rapidly evolving field that combines engineering principles with medical and biological sciences t...Welcome to the 4th volume of Biomedical Engineering Communications the first issue of 2025!Biomedical engineering is a rapidly evolving field that combines engineering principles with medical and biological sciences to create innovative healthcare technologies.Biomedical engineering brings an interdisciplinary,problem-solving approach to bioengineering,biology and medicine.This interdisciplinary field is essential for developing advanced medical devices,diagnostic tools,and therapeutic solutions that enhance patient care and improve health outcomes.It allows them to develop technologies and systems that directly contribute to diagnosing,treating and preventing diseases.展开更多
Cardiovascular disease(CVD)represents the foremost cause of mortality globally,imposing a substantial economic burden.In 2021,approximately 19.4 million deaths were attributed to cardiovascular conditions,constituting...Cardiovascular disease(CVD)represents the foremost cause of mortality globally,imposing a substantial economic burden.In 2021,approximately 19.4 million deaths were attributed to cardiovascular conditions,constituting 32%of global mortality[1].Over three-quarters of these fatalities occurred in low and middle-income nations.Notably,ischemic heart disease and stroke were responsible for 84%of CVD-related deaths.Among them,the number of cases of ischemic cardiomyopathy increased by 68%in 2021 compared to 1990(Figure 1A).展开更多
Introduction When the body is infected,pathogenic microorganisms and their toxins can enter the blood circulation and grow and proliferate in the blood,producing more toxins.These toxins and pathogens activate the bod...Introduction When the body is infected,pathogenic microorganisms and their toxins can enter the blood circulation and grow and proliferate in the blood,producing more toxins.These toxins and pathogens activate the body's immune system,leading to the release of a varieties of cytokines and inflammatory mediators,resulting in systemic inflammatory response syndrome[1].展开更多
Insulin is a peptide hormone secreted by pancreaticβ-cells,which plays a key role in regulating glucose metabolism and is the only hormone in the body capable of lowering blood glucose level.The development of insuli...Insulin is a peptide hormone secreted by pancreaticβ-cells,which plays a key role in regulating glucose metabolism and is the only hormone in the body capable of lowering blood glucose level.The development of insulin preparations has undergone nearly 100 years of history,from early animal insulin extraction to modern synthetic insulin and insulin analogs,which have greatly advanced the treatment of diabetes.The insulin receptor has a wide distribution in the body,and its activation leads to intracellular signaling mainly through two pathways,PI3K/Akt and Ras/MAPK.Clinically,insulin is crucial in the treatment and management of diabetes and its complications,especially in the cases where oral medications fail to control blood glucose.The role of insulin is not limited to the regulation of blood glucose but has a wide range of functions throughout the body,such as regulation of mitochondrial function and metabolism,the promotion of protein synthesis,adipogenesis,and cellular proliferation.However,insulin overdose may lead to severe hypoglycemia,which,if left untreated,poses the risk of irreversible neurological damage or even fatality.In this paper,we review the history of the development of insulin preparations,the molecular structure of insulin,the biological processes initiated by insulin and insulin deficiency/resistance.The overview of side effects from insulin is also included in this review.We assume that future research could focus on refining insulin analogs for greater therapeutic precision,minimizing side effects,and extending benefits beyond glycemic control.Exploring insulin’s additional effects may unlock potential applications in treating multiple diseases.展开更多
Background:Pneumonia remains a critical global health challenge,manifesting as a severe respiratory infection caused by viruses,bacteria,and fungi.Early detection is paramount for effective treatment,potentially reduc...Background:Pneumonia remains a critical global health challenge,manifesting as a severe respiratory infection caused by viruses,bacteria,and fungi.Early detection is paramount for effective treatment,potentially reducing mortality rates and optimizing healthcare resource allocation.Despite the importance of chest X-ray diagnosis,image analysis presents significant challenges,particularly in regions with limited medical expertise.This study addresses these challenges by proposing a computer-aided diagnosis system leveraging targeted image preprocessing and optimized deep learning techniques.Methods:We systematically evaluated contrast limited adaptive histogram equalization with varying clip limits for preprocessing chest X-ray images,demonstrating its effectiveness in enhancing feature visibility for diagnostic accuracy.Employing a comprehensive dataset of 5,863 X-ray images(1,583 pneumonia-negative,4,280 pneumonia-positive)collected from multiple healthcare facilities,we conducted a comparative analysis of transfer learning with pre-trained models including ResNet50v2,VGG-19,and MobileNetV2.Statistical validation was performed through 5-fold cross-validation.Results:Our results show that the contrast limited adaptive histogram equalization-enhanced approach with ResNet50v2 achieves 93.40%accuracy,outperforming VGG-19(84.90%)and MobileNetV2(89.70%).Statistical validation confirms the significance of these improvements(P<0.01).The development and optimization resulted in a lightweight mobile application(74 KB)providing rapid diagnostic support(1-2 s response time).Conclusion:The proposed approach demonstrates practical applicability in resource-constrained settings,balancing diagnostic accuracy with deployment efficiency,and offers a viable solution for computer-aided pneumonia diagnosis in areas with limited medical expertise.展开更多
The convergence of materials science and biotechnology has catalyzed the development of innovative platforms,including nanotechnology,smart sensors,and supramolecular materials,significantly advancing the progress in ...The convergence of materials science and biotechnology has catalyzed the development of innovative platforms,including nanotechnology,smart sensors,and supramolecular materials,significantly advancing the progress in the field of life sciences[1−7].Among them,supramolecular materials have garnered increasing attention in life sciences owing to their distinctive self-assembly capabilities and intelligent responsiveness[8−12].展开更多
Background:A major side effect of diabetes is diabetic retinopathy(DR),which can cause irreparable blindness if left untreated.Because of the additional psychological and social strains,controlling comorbidities like ...Background:A major side effect of diabetes is diabetic retinopathy(DR),which can cause irreparable blindness if left untreated.Because of the additional psychological and social strains,controlling comorbidities like DR becomes crucial for cancer patients,particularly those receiving treatments like chemotherapy.Both the patient and their caretakers may have severe effects from vision impairment,including increased anxiety,depression,and a lower quality of life.One can reduce these psychological pressures by facilitating prompt intervention,early identification,and categorization of DR.Methods:This work uses a metaheuristic optimization technique to offer a sophisticated,automated categorization system for DR.The system combines Attention AlexNet with an Improved Nutcracker Optimizer,which optimizes the weights and hyperparameters of deep learning models to improve classification accuracy.Results:The approach achieves high classification accuracy of 99.43%and enhanced precision and recall when tested on two popular image datasets,APTOS-2019 and EyePacs.Conclusions:By addressing the technological improvement in DR detection,this work contributes to the multidisciplinary approach of psycho-oncology and helps lessen the psychological distress that cancer patients experience when they lose their eyesight.Ultimately,it supports the general well-being and mental health of people facing diabetes-related problems and cancer by highlighting the significance of incorporating cutting-edge machine learning technologies into clinical practice.展开更多
Stroke results from a sudden interruption of blood supply to the brain,causing ischemia,hypoxia,and subsequent brain tissue damage.It is the second leading cause of death worldwide and a major contributor to disabilit...Stroke results from a sudden interruption of blood supply to the brain,causing ischemia,hypoxia,and subsequent brain tissue damage.It is the second leading cause of death worldwide and a major contributor to disability.Despite significant advancements in cerebral ischemia-reperfusion strategies,patients remain vulnerable to ischemia/reperfusion injury,with neuroinflammation playing a central role.Evidence suggests that neuroinflammatory responses persist throughout the entire course of ischemic stroke.This review explores the diverse immune cell types and mechanisms involved in neuroinflammation,highlighting their neurotoxic and neuroprotective effects.Additionally,it examines various therapeutic approaches targeting neuroinflammation,offering a comprehensive reference for related research efforts.展开更多
The condition among the various neurodegenerative disorders(NDs)that cause serious problems for modern health services cause progressive loss of neuronal function,inflammation,oxidative stress,dysfunction of the mitoc...The condition among the various neurodegenerative disorders(NDs)that cause serious problems for modern health services cause progressive loss of neuronal function,inflammation,oxidative stress,dysfunction of the mitochondria,misfolded proteins,and neuroinflammation are characteristic of these Alzheimer’s,Huntington’s and Parkinson's diseases.The blood-brain barrier,which is comprised of closely spaced endothelial cells,is a membrane that prevents the brain from harmful molecules while obstructing the pathway of numerous prospective medications.This obstacle must be destroyed to optimize the usefulness of therapies aimed at afflicted brain areas.Drug delivery technologies based on nanoparticles present an effective method to get beyond controls.Despite their small size,surface adaptability,and capacity to encapsulate healing chemicals,nanoparticles might enhance targeting effectiveness,increase the medication's bioavailability,and enable longer drug absorption.To facilitate the transportation of drugs across the gap between the blood and the brain,the present study investigates the design and therapeutic application for different nanoparticle types,including polymeric,lipid-based,and nanoparticles that are inorganic.In addition to biological compatibility,ease of surface adaptation,and capacity to transport hydrophilic and hydrophobic,drugs nanoparticles made of polymers stand out among those.Multi-nanoparticle combination therapies and individualized medicine using specific patient biomarkers may improve the efficacy of therapy.Addressing such challenges while developing nanoparticle technologies could revolutionize neurological disease treatment,enhancing patient treatments and their quality of life.展开更多
Background:In the field of genetic diagnostics,DNA sequencing is an important tool because the depth and complexity of this field have major implications in light of the genetic architectures of diseases and the ident...Background:In the field of genetic diagnostics,DNA sequencing is an important tool because the depth and complexity of this field have major implications in light of the genetic architectures of diseases and the identification of risk factors associated with genetic disorders.Methods:Our study introduces a novel two-tiered analytical framework to raise the precision and reliability of genetic data interpretation.It is initiated by extracting and analyzing salient features from DNA sequences through a CNN-based feature analysis,taking advantage of the power inherent in Convolutional neural networks(CNNs)to attain complex patterns and minute mutations in genetic data.This study embraces an elite collection of machine learning classifiers interweaved through a stern voting mechanism,which synergistically joins the predictions made from multiple classifiers to generate comprehensive and well-balanced interpretations of the genetic data.Results:This state-of-the-art method was further tested by carrying out an empirical analysis on a variants'dataset of DNA sequences taken from patients affected by breast cancer,juxtaposed with a control group composed of healthy people.Thus,the integration of CNNs with a voting-based ensemble of classifiers returned outstanding outcomes,with performance metrics accuracy,precision,recall,and F1-scorereaching the outstanding rate of 0.88,outperforming previous models.Conclusions:This dual accomplishment underlines the transformative potential that integrating deep learning techniques with ensemble machine learning might provide in real added value for further genetic diagnostics and prognostics.These results from this study set a new benchmark in the accuracy of disease diagnosis through DNA sequencing and promise future studies on improved personalized medicine and healthcare approaches with precise genetic information.展开更多
Protein Kinase G(PKG)is an important intracellular signal transduction enzyme,and its activity is modulated by cyclic guanosine monophosphate(cGMP).PKG plays a pivotal role in various significant physiological process...Protein Kinase G(PKG)is an important intracellular signal transduction enzyme,and its activity is modulated by cyclic guanosine monophosphate(cGMP).PKG plays a pivotal role in various significant physiological processes,including vascular smooth muscle relaxation,myocardial cell function regulation,neuron growth,and synaptic plasticity,et al.In recent years,the role of PKG in diseases has gradually attracted attention,and the abnormalities in its signaling pathway are closely related to the occurrence and development of cardiovascular and neurological diseases.Although PKG has been widely studied,its complex functions in different physiological systems and potential innovative applications still need to be further explored.This article reviews the purification techniques for PKG,discusses the advantages and disadvantages of different extraction methods,summarizes the structure and activation mechanism of each domain of PKG,and analyzes the physiological functions of PKG in organisms,especially the well-established roles in the cardiovascular system,nervous system,and endocrine system.The emerging therapeutic applications of PKG are also reviewed.In addition,the challenges of this field are proposed at the end.展开更多
基金supported by the Shenzhen Medical Research Fund(Grant No.A2303049)Guangdong Basic and Applied Basic Research(Grant No.2023A1515010647)+1 种基金National Natural Science Foundation of China(Grant No.22004135)Shenzhen Science and Technology Program(Grant No.RCBS20210706092409020,GXWD20201231165807008,20200824162253002).
文摘Multi-organ-on-a-chip(MOOC)technology represents a pivotal direction in the organ-on-a-chip field,seeking to emulate the complex interactions of multiple human organs in vitro through microfluidic systems.This technology overcomes the limitations of traditional single-organ models,providing a novel platform for investigating complex disease mechanisms and evaluating drug efficacy and toxicity.Although it demonstrates broad application prospects,its development still faces critical bottlenecks,including inadequate physiological coupling between organs,short functional maintenance durations,and limited real-time monitoring capabilities.Contemporary research is advancing along three key directions,including functional coupling,sensor integration,and full-process automation systems,to propel the technology toward enhanced levels of physiological relevance and predictive accuracy.
基金supported by the Russian state-funded project for ICBFM SB RAS(grant number 125012300656-5)。
文摘Background:The development of materials for cardiovascular surgery that would improve the effectiveness of surgical interventions remains an important task.Surgical intervention during the implantation of vascular prostheses and stents,and the body’s reaction to artificial materials,could lead to chronic inflammation,a local increase in the concentration of proinflammatory factors,and stimulation of unwanted tissue growth.The introduction of nonsteroidal anti-inflammatory drugs into implantable devices could be used to obtain vascular implants that do not induce inflammation and do not induce neointimal tissue outgrowth.Methods:The scaffolds were made by electrospinning from mixtures of polyurethane(PU)with diclofenac(DF).The kinetics of DF release from the scaffolds composed of 3%PU/10%HSA/3%DMSO/DF and 3%PU/DF were studied.The biocompatibility and anti-inflammatory effects of the obtained scaffolds on human gingival fibroblasts and umbilical vein endothelial cells were studied.Results:Both types of scaffolds are characterized by fast DF release.The viability of cells cultured on scaffolds is 2 times worse than that of cells cultured on plastic.The level of the proinflammatory cytokine IL-6 in the culture medium of cells cultured on DF-containing scaffolds was lower than that of cells cultured on scaffolds without DF.Conclusion:The introduction of DF into scaffolds minimizes the inflammation caused by cell reactions to an artificial material.
基金supported by the National Natural Science Foundation of China(22375101)the Natural Science of Colleges and Universities in Jiangsu Province(24KJB430027).
文摘Background:The bacterial biofilm poses a significant challenge to traditional antibiotic therapy.There is a great need to develop novel antibiofilm agents combined with biofilm disrupting and bacteria-killing without the dependence of antibiotic.Methods:Herein,we prepared ultrasound/magnetic field-responsive ferroferric oxide nanoparticles(Fe_(3)O_(4))/glucose oxidase microbubbles(FGMB)to form a cascade catalytic system for effective removing methicillin-resistant Staphylococcus aureus biofilms.FGMB were prepared through interfacial self-assembly of Fe_(3)O_(4) nanoparticles(NPs)and glucose oxidase(GOx)at the gas-liquid interface stabilized by surfactants.Under ultrasound/magnetic field stimulation,FGMB disrupted biofilm architecture through microbubble collapse-induced microjets and magnetically driven displacement.Simultaneously,ultrasound-triggered rupture of FGMB released GOx and Fe_(3)O_(4) NPs.Glucose can be oxidized by GOx to generate gluconic acid and hydrogen peroxide which was subsequently catalyzed into hydroxyl radicals by Fe_(3)O_(4) NPs,enabling chemical eradication of biofilm-embedded bacteria.Results:Optical microscopy images demonstrated that FGMB have spherical structure with average size of approximately 17μm.FGMB showed a 65.4%decrease in methicillin-resistant Staphylococcus aureus biofilm biomass and 1.1 log bacterial inactivation efficiency(91.2%),suggesting effective biofilm elimination.In vitro experimental results also indicate that FGMB have good biocompatibility.Conclusion:This antibiofilm strategy integrated dual modes of physical biofilm disruption with chemical bacteria-killing shows great potential as a versatile,non-resistant strategy for bacterial biofilm elimination.
文摘Pediatric cancers are particularly significant due to their uncommon occurrence in children,driven by a variety of underlying factors.Because of their distinct molecular and genetic makeup,which makes early detection challenging,they are linked to problems.Diagnostic methods like imaging and tissue biopsy are only effective when the tumor has reached a size that can be identified.The liquid biopsy technique,the least intrusive and most convenient diagnostic method,is the subject of this review.It focuses on the significance of single cell analysis in examining uncommon cancer types.The many biomarkers found in bodily fluids and the cancer types they are linked to in children have been assessed,as has the potential route towards early detection and cancer recurrence forecasting.Combining the single cell liquid biopsy with the newest technologies,such as computational and multi-omics approaches,which have improved the efficiency of processing massive and unique genetic data,appears promising.This article discusses on a number of case reports for uncommon pediatric malignancies,such as Neuroblastoma,Medulloblastoma,Wilms Tumor,Rhabdomyosarcoma,Ewing Sarcoma,and Retinoblastoma,as well as their liquid biopsy profiles.Furthermore,the findings raise ethical questions regarding the therapeutic application of the technology as well as possible difficulties related to clinical translation.The likelihood that this single cell liquid biopsy will be clinically validated and eventually used as a routine diagnostic tool for uncommon pediatric cancers will rise with the realistic approach to sensitivity monitoring,specificity upgrading,and optimization.
文摘Background:This study focused on developing and optimizing a self-microemulsifying drug delivery system(SMEDDS)to improve Lafutidine’s solubility and bioavailability,thereby enhancing its effectiveness in treating gastric ulcers.Traditional formulations are less effective due to their limited water solubility and bioavailability.Methods:The study used solubility tests,pseudo-ternary phase diagrams,and central composite design(CCD)to optimize.The formulation was optimized by varying the oil concentration(10–40%)and surfactant/cosurfactant ratio(0.33–3.00),and then tested for droplet size,drug content,emulsification,phase stability,and in vitro dissolution.Results:The study found that the optimized formulation contained 14%Capmul PG 8NF oil,62%Labrasol surfactant,and 24%Tween 80 cosurfactant.This combination generated an average droplet size of 111.02 nm and improved drug release properties.Furthermore,the formulation was stable without phase separation,with a drug content of 88.2–99.8%.Conclusion:SMEDDS significantly improves lafutidine delivery by increasing solubility and absorption,thereby overcoming oral administration challenges.The system quickly formed small droplets in water and released the drug in 15 min.Enhancing lafutidine’s bioavailability may improve its efficacy in treating gastric ulcers,resulting in better patient outcomes and potentially lower dosing frequency.
基金the National Natural Science Foundation of China[62525301,62127811,62433019]the New Cornerstone Science Foundation through the XPLORER PRIZEthe financial support by the China Postdoctoral Science Foundation[GZB20240797].
文摘Single-cell biomechanics and electrophysiology measuring tools have transformed biological research over the last few decades,which enabling a comprehensive and nuanced understanding of cellular behavior and function.Despite their high-quality information content,these single-cell measuring techniques suffer from laborious manual processing by highly skilled workers and extremely low throughput(tens of cells per day).Recently,numerous researchers have automated the measurement of cell mechanical and electrical signals through robotic localization and control processes.While these efforts have demonstrated promising progress,critical challenges persist,including human dependency,learning complexity,in-situ measurement,and multidimensional signal acquisition.To identify key limitations and highlight emerging opportunities for innovation,in this review,we comprehensively summarize the key steps of robotic technologies in single-cell biomechanics and electrophysiology.We also discussed the prospects and challenges of robotics and automation in biological research.By bridging gaps between engineering,biology,and data science,this work aims to stimulate interdisciplinary research and accelerate the translation of robotic single-cell technologies into practical applications in the life sciences and medical fields.
基金support from Qinghai Province basic research project(2024-ZJ-760)Changzhou Sci&Tech Program(CZ20240029)+1 种基金Science and Technology Project of Changzhou Health Commission(QN202356)Top Talent of Changzhou“The 14th Five-Year Plan”High-Level Health Talents Training Project(2022CZBJ059 and 2022CZBJ061).
文摘Introduction The global burden of orthopedic diseases has reached unprecedented levels,with recent epidemiological data revealing that musculoskeletal conditions affect over 1.71 billion people worldwide,representing a 150%increase since 1990[1].By 2050,the number of individuals aged 60 and above requiring orthopedic interventions is projected to exceed 2.1 billion,with osteoporosis alone affecting 200 million people globally.
文摘The use of artificial intelligence(AI)in wound care has become a crucial instrument in improving the diagnosis,treatment,and management of chronic wounds.This study examines the several functions of AI in wound care,emphasizing its ability to better wound evaluation,hasten healing,alleviate pain,and improve cost-effectiveness.AI-driven technology,including mobile applications and intelligent bandages,provides precise wound assessment,tissue analysis,and continuous monitoring,hence allowing for tailored treatment strategies and prompt intervention.Moreover,AI-driven algorithms forecast wound healing trajectories and find individuals susceptible to chronic wounds,allowing prompt preventative interventions.There are also practical issues with integrating it into clinical practice.Adding AI to current healthcare systems,like electronic medical records(EMRs),needs careful planning and teamwork to make sure that AI-driven insights are used well in real-time clinical decision-making.To make sure AI is used safely,legal frameworks need to be set up to provide clear rules for its use in healthcare.These frameworks should include openness,risk management,and data evaluation.Lastly,clinical validation and acceptance are still big problems.Many AI-powered tools don't have enough clinical validation and aren't widely available,which makes it hard to use them in everyday clinical practice.Solving these problems is important for getting the most out of AI in wound care and making sure it is used safely and effectively.The article combines current advancements and prospective trajectories in AI-assisted wound care,highlighting its revolutionary ability to revolutionize patient outcomes and healthcare delivery.
基金supported by the Project for Enhancing the Scientific Research and Innovation Capacity of Doctoral Students of the Education Department of Jilin Province(JJKH20250061BS).
文摘The emerging NIR-II imaging modality is promising for real-time visualization of living systems and multiple disease diagnoses,particularly through its enhanced tissue penetration and superior spatial resolution[1,2].Cyanine dyes possess the advantages of low administration dosage,high biocompatibility,and strong fluorescence emission intensity[3].Cyanine dyes can be easily structurally modified through molecular engineering methods,while the large hydrophobic conjugation systems hinder further in vivo imaging application.The traditional surfactant encapsulation strategy cannot effectively solve the aggregation caused-quenching issue of the dyes in aqueous solutions and may even mask their reaction active sites[4].Due to the special hydrophobic pocket to act as a probe carrier and the ability to serve as the pan-marker for multiple diseases,albumin is chosen as the preferred binding protein for cyanine dyes[5].Albumin interacts with cyanine dyes through a“hydrophobic pocket”and further improves its properties such as water solubility,biosafety,and fluorescence quantum yield.Cyanine dyes can modify the binding efficiency with albumin through structural design and regulate the targeting performance.This means that cyanine-tagged albumin can respond to pathological changes caused by different diseases and monitor the disease process in real time with high contrast through NIR-II fluorescence signals.Further development of cyanine-tagged albumin probes is helpful for in-depth comprehension of the binding mechanism and guiding the directed synthesis of cyanine molecules with specific protein binding behaviors and optical properties,thereby achieving precise targeting and high-performance NIR-II bioimaging of specific diseases.This point is essential for the design,preparation,and even clinical translation of NIR-II targeting dye molecules in precise diagnosis and treatment.
文摘Welcome to the 4th volume of Biomedical Engineering Communications the first issue of 2025!Biomedical engineering is a rapidly evolving field that combines engineering principles with medical and biological sciences to create innovative healthcare technologies.Biomedical engineering brings an interdisciplinary,problem-solving approach to bioengineering,biology and medicine.This interdisciplinary field is essential for developing advanced medical devices,diagnostic tools,and therapeutic solutions that enhance patient care and improve health outcomes.It allows them to develop technologies and systems that directly contribute to diagnosing,treating and preventing diseases.
基金supported by the National Natural Science Foundation of China(No.82270364)Science and Technology Program of Guizhou Province(No.ZK[2023]321)+3 种基金Guizhou Provincial Youth Science and Technology Talents Growth Project(No.KY[2022]214)Excellent Young Talents Plan of Guizhou Medical University(No.[2023]112)Guizhou Medical University Key Laboratory of Cardiovascular Disease Basic and Clinical Research(No.2024001)Start-up Fund of Guizhou Medical University(No.J2021032).
文摘Cardiovascular disease(CVD)represents the foremost cause of mortality globally,imposing a substantial economic burden.In 2021,approximately 19.4 million deaths were attributed to cardiovascular conditions,constituting 32%of global mortality[1].Over three-quarters of these fatalities occurred in low and middle-income nations.Notably,ischemic heart disease and stroke were responsible for 84%of CVD-related deaths.Among them,the number of cases of ischemic cardiomyopathy increased by 68%in 2021 compared to 1990(Figure 1A).
基金supported by the Sichuan Science and Technology Program(2022NSFSC1936)Doctoral Scientific Research Start-up Foundation of China West Normal University(412984).
文摘Introduction When the body is infected,pathogenic microorganisms and their toxins can enter the blood circulation and grow and proliferate in the blood,producing more toxins.These toxins and pathogens activate the body's immune system,leading to the release of a varieties of cytokines and inflammatory mediators,resulting in systemic inflammatory response syndrome[1].
基金supported by grants from National Natural Science Foundation of China(Grant No.82301577).
文摘Insulin is a peptide hormone secreted by pancreaticβ-cells,which plays a key role in regulating glucose metabolism and is the only hormone in the body capable of lowering blood glucose level.The development of insulin preparations has undergone nearly 100 years of history,from early animal insulin extraction to modern synthetic insulin and insulin analogs,which have greatly advanced the treatment of diabetes.The insulin receptor has a wide distribution in the body,and its activation leads to intracellular signaling mainly through two pathways,PI3K/Akt and Ras/MAPK.Clinically,insulin is crucial in the treatment and management of diabetes and its complications,especially in the cases where oral medications fail to control blood glucose.The role of insulin is not limited to the regulation of blood glucose but has a wide range of functions throughout the body,such as regulation of mitochondrial function and metabolism,the promotion of protein synthesis,adipogenesis,and cellular proliferation.However,insulin overdose may lead to severe hypoglycemia,which,if left untreated,poses the risk of irreversible neurological damage or even fatality.In this paper,we review the history of the development of insulin preparations,the molecular structure of insulin,the biological processes initiated by insulin and insulin deficiency/resistance.The overview of side effects from insulin is also included in this review.We assume that future research could focus on refining insulin analogs for greater therapeutic precision,minimizing side effects,and extending benefits beyond glycemic control.Exploring insulin’s additional effects may unlock potential applications in treating multiple diseases.
文摘Background:Pneumonia remains a critical global health challenge,manifesting as a severe respiratory infection caused by viruses,bacteria,and fungi.Early detection is paramount for effective treatment,potentially reducing mortality rates and optimizing healthcare resource allocation.Despite the importance of chest X-ray diagnosis,image analysis presents significant challenges,particularly in regions with limited medical expertise.This study addresses these challenges by proposing a computer-aided diagnosis system leveraging targeted image preprocessing and optimized deep learning techniques.Methods:We systematically evaluated contrast limited adaptive histogram equalization with varying clip limits for preprocessing chest X-ray images,demonstrating its effectiveness in enhancing feature visibility for diagnostic accuracy.Employing a comprehensive dataset of 5,863 X-ray images(1,583 pneumonia-negative,4,280 pneumonia-positive)collected from multiple healthcare facilities,we conducted a comparative analysis of transfer learning with pre-trained models including ResNet50v2,VGG-19,and MobileNetV2.Statistical validation was performed through 5-fold cross-validation.Results:Our results show that the contrast limited adaptive histogram equalization-enhanced approach with ResNet50v2 achieves 93.40%accuracy,outperforming VGG-19(84.90%)and MobileNetV2(89.70%).Statistical validation confirms the significance of these improvements(P<0.01).The development and optimization resulted in a lightweight mobile application(74 KB)providing rapid diagnostic support(1-2 s response time).Conclusion:The proposed approach demonstrates practical applicability in resource-constrained settings,balancing diagnostic accuracy with deployment efficiency,and offers a viable solution for computer-aided pneumonia diagnosis in areas with limited medical expertise.
基金supported by the National Natural Science Foundation of China(22101043)the Fundamental Research Funds for the Central Universities(N2205013,N232410019,N2405013)+3 种基金Natural Science Foundation of Liaoning Province(2023-MSBA-068)the Opening Fund of State Key Laboratory of Heavy Oil Processing(SKLHOP202203006)the Key Laboratory of Functional Molecular Solids,Ministry of Education(FMS2023005)Northeastern University。
文摘The convergence of materials science and biotechnology has catalyzed the development of innovative platforms,including nanotechnology,smart sensors,and supramolecular materials,significantly advancing the progress in the field of life sciences[1−7].Among them,supramolecular materials have garnered increasing attention in life sciences owing to their distinctive self-assembly capabilities and intelligent responsiveness[8−12].
文摘Background:A major side effect of diabetes is diabetic retinopathy(DR),which can cause irreparable blindness if left untreated.Because of the additional psychological and social strains,controlling comorbidities like DR becomes crucial for cancer patients,particularly those receiving treatments like chemotherapy.Both the patient and their caretakers may have severe effects from vision impairment,including increased anxiety,depression,and a lower quality of life.One can reduce these psychological pressures by facilitating prompt intervention,early identification,and categorization of DR.Methods:This work uses a metaheuristic optimization technique to offer a sophisticated,automated categorization system for DR.The system combines Attention AlexNet with an Improved Nutcracker Optimizer,which optimizes the weights and hyperparameters of deep learning models to improve classification accuracy.Results:The approach achieves high classification accuracy of 99.43%and enhanced precision and recall when tested on two popular image datasets,APTOS-2019 and EyePacs.Conclusions:By addressing the technological improvement in DR detection,this work contributes to the multidisciplinary approach of psycho-oncology and helps lessen the psychological distress that cancer patients experience when they lose their eyesight.Ultimately,it supports the general well-being and mental health of people facing diabetes-related problems and cancer by highlighting the significance of incorporating cutting-edge machine learning technologies into clinical practice.
基金supported by the National Science Foundation of Foundation of Hebei Province China(H2024110042).
文摘Stroke results from a sudden interruption of blood supply to the brain,causing ischemia,hypoxia,and subsequent brain tissue damage.It is the second leading cause of death worldwide and a major contributor to disability.Despite significant advancements in cerebral ischemia-reperfusion strategies,patients remain vulnerable to ischemia/reperfusion injury,with neuroinflammation playing a central role.Evidence suggests that neuroinflammatory responses persist throughout the entire course of ischemic stroke.This review explores the diverse immune cell types and mechanisms involved in neuroinflammation,highlighting their neurotoxic and neuroprotective effects.Additionally,it examines various therapeutic approaches targeting neuroinflammation,offering a comprehensive reference for related research efforts.
文摘The condition among the various neurodegenerative disorders(NDs)that cause serious problems for modern health services cause progressive loss of neuronal function,inflammation,oxidative stress,dysfunction of the mitochondria,misfolded proteins,and neuroinflammation are characteristic of these Alzheimer’s,Huntington’s and Parkinson's diseases.The blood-brain barrier,which is comprised of closely spaced endothelial cells,is a membrane that prevents the brain from harmful molecules while obstructing the pathway of numerous prospective medications.This obstacle must be destroyed to optimize the usefulness of therapies aimed at afflicted brain areas.Drug delivery technologies based on nanoparticles present an effective method to get beyond controls.Despite their small size,surface adaptability,and capacity to encapsulate healing chemicals,nanoparticles might enhance targeting effectiveness,increase the medication's bioavailability,and enable longer drug absorption.To facilitate the transportation of drugs across the gap between the blood and the brain,the present study investigates the design and therapeutic application for different nanoparticle types,including polymeric,lipid-based,and nanoparticles that are inorganic.In addition to biological compatibility,ease of surface adaptation,and capacity to transport hydrophilic and hydrophobic,drugs nanoparticles made of polymers stand out among those.Multi-nanoparticle combination therapies and individualized medicine using specific patient biomarkers may improve the efficacy of therapy.Addressing such challenges while developing nanoparticle technologies could revolutionize neurological disease treatment,enhancing patient treatments and their quality of life.
文摘Background:In the field of genetic diagnostics,DNA sequencing is an important tool because the depth and complexity of this field have major implications in light of the genetic architectures of diseases and the identification of risk factors associated with genetic disorders.Methods:Our study introduces a novel two-tiered analytical framework to raise the precision and reliability of genetic data interpretation.It is initiated by extracting and analyzing salient features from DNA sequences through a CNN-based feature analysis,taking advantage of the power inherent in Convolutional neural networks(CNNs)to attain complex patterns and minute mutations in genetic data.This study embraces an elite collection of machine learning classifiers interweaved through a stern voting mechanism,which synergistically joins the predictions made from multiple classifiers to generate comprehensive and well-balanced interpretations of the genetic data.Results:This state-of-the-art method was further tested by carrying out an empirical analysis on a variants'dataset of DNA sequences taken from patients affected by breast cancer,juxtaposed with a control group composed of healthy people.Thus,the integration of CNNs with a voting-based ensemble of classifiers returned outstanding outcomes,with performance metrics accuracy,precision,recall,and F1-scorereaching the outstanding rate of 0.88,outperforming previous models.Conclusions:This dual accomplishment underlines the transformative potential that integrating deep learning techniques with ensemble machine learning might provide in real added value for further genetic diagnostics and prognostics.These results from this study set a new benchmark in the accuracy of disease diagnosis through DNA sequencing and promise future studies on improved personalized medicine and healthcare approaches with precise genetic information.
基金supported by the National Natural Science Foundation of China(Nos.22374033,22174031,22407037)the Natural Science Foundation of Heilongjiang Province(No.ZD2022B001).
文摘Protein Kinase G(PKG)is an important intracellular signal transduction enzyme,and its activity is modulated by cyclic guanosine monophosphate(cGMP).PKG plays a pivotal role in various significant physiological processes,including vascular smooth muscle relaxation,myocardial cell function regulation,neuron growth,and synaptic plasticity,et al.In recent years,the role of PKG in diseases has gradually attracted attention,and the abnormalities in its signaling pathway are closely related to the occurrence and development of cardiovascular and neurological diseases.Although PKG has been widely studied,its complex functions in different physiological systems and potential innovative applications still need to be further explored.This article reviews the purification techniques for PKG,discusses the advantages and disadvantages of different extraction methods,summarizes the structure and activation mechanism of each domain of PKG,and analyzes the physiological functions of PKG in organisms,especially the well-established roles in the cardiovascular system,nervous system,and endocrine system.The emerging therapeutic applications of PKG are also reviewed.In addition,the challenges of this field are proposed at the end.
