Bioengineering最新文献

{"title":"A Collaborative Data Sharing Platform to Accelerate Translation of Biomedical Innovations.","authors":"Zohreh Izadifar, Greg Storm, Amol M Joshi, Anna Hochberg, Michael Hadjisavas, Gary Rodrigue, Steven R Bauer, James B Schmidt, Sita Somara, Anthony Atala, Izabele Heyward, Salil Desai, Joshua Hunsberger","doi":"10.3390/bioengineering12090938","DOIUrl":"10.3390/bioengineering12090938","url":null,"abstract":"<p><p>This perspective article presents an innovative concept for a biomanufacturing Knowledge Hub (KH), designed as a data-driven learning platform supporting the entire lifecycle of biomedical products. By integrating advanced data sharing and processing technologies, the KH aspires to connect patients, bioengineers, clinicians, regulators, companies, and investors to accelerate product development, reduce redundancies, and ultimately fast-track the delivery of biomedical innovations to patients. We discuss current challenges in accessing and sharing data within biomanufacturing and outline novel approaches for building an ecosystem that links data stores, integrates digital twins, and leverages advanced analytics. The KH offers transformative capabilities, enabling the development of new products at a substantial increased speed. It is built as a secure, quantum-resistant platform that encrypts data and allows access through advanced algorithms, creating an intelligent, collaborative environment. Users can harness collective knowledge to enhance products, launch innovations, integrate technologies, and unlock revenue opportunities based on data quality and usage. This KH aims to revolutionize biomanufacturing, offering unprecedented opportunities for innovation, better patient outcomes, and commercialization with far reaching applications beyond biomanufacturing in the future.</p>","PeriodicalId":8874,"journal":{"name":"Bioengineering","volume":"12 9","pages":""},"PeriodicalIF":3.7,"publicationDate":"2025-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12467719/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145172942","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"In Vivo Targeted Reprogramming of Cardiac Fibroblasts for Heart Regeneration: Advances and Therapeutic Potential.","authors":"Waqas Ahmad, Suchandrima Dutta, Xingyu He, Sophie Chen, Muhammad Zubair Saleem, Yigang Wang, Jialiang Liang","doi":"10.3390/bioengineering12090940","DOIUrl":"10.3390/bioengineering12090940","url":null,"abstract":"<p><p>Myocardial infarction-induced cardiovascular diseases remain a leading cause of mortality worldwide. Excessive post-infarct fibrosis contributes to adverse cardiac remodeling and the progression to heart failure. In vivo reprogramming strategies offer a promising avenue for heart regeneration by directly converting resident fibroblasts into cardiomyocytes through enforced expression of cardiogenic genes. This approach circumvents the need for invasive biopsies, cell expansion, induction of pluripotency, or autologous transplantation. Despite these advantages, key challenges persist, including low reprogramming efficiency and limited cellular targeting specificity. A critical factor for effective anti-fibrotic therapy is the precise and efficient delivery of reprogramming effectors specifically to fibrotic fibroblasts, while minimizing off-target effects on non-fibroblast cardiac cells and fibroblasts in non-cardiac tissues. In this review, we discuss the cellular and molecular mechanisms underlying in vivo cardiac reprogramming, with a focus on fibroblast heterogeneity, key transcriptional drivers, and relevant intercellular interactions. We also examine current advances in fibroblast-specific delivery systems employing both viral and non-viral vectors for the administration of lineage-reprogramming factors such as cDNA overexpressions or microRNAs. Finally, we underscore innovative strategies that hold promise for enhancing the precision and efficacy of cellular reprogramming, ultimately fostering translational development and paving the way for rigorous preclinical assessment.</p>","PeriodicalId":8874,"journal":{"name":"Bioengineering","volume":"12 9","pages":""},"PeriodicalIF":3.7,"publicationDate":"2025-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12466987/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145172676","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"AI in Dentistry: Innovations, Ethical Considerations, and Integration Barriers.","authors":"Tao-Yuan Liu, Kun-Hua Lee, Arvind Mukundan, Riya Karmakar, Hardik Dhiman, Hsiang-Chen Wang","doi":"10.3390/bioengineering12090928","DOIUrl":"10.3390/bioengineering12090928","url":null,"abstract":"<p><strong>Background/objectives: </strong>Artificial Intelligence (AI) is improving dentistry through increased accuracy in diagnostics, planning, and workflow automation. AI tools, including machine learning (ML) and deep learning (DL), are being adopted in oral medicine to improve patient care, efficiency, and lessen clinicians' workloads. AI in dentistry, despite its use, faces an issue of acceptance, with its obstacles including ethical, legal, and technological ones. In this article, a review of current AI use in oral medicine, new technology development, and integration barriers is discussed.</p><p><strong>Methods: </strong>A narrative review of peer-reviewed articles in databases such as PubMed, Scopus, Web of Science, and Google Scholar was conducted. Peer-reviewed articles over the last decade, such as AI application in diagnostic imaging, predictive analysis, real-time documentation, and workflows automation, were examined. Besides, improvements in AI models and critical impediments such as ethical concerns and integration barriers were addressed in the review.</p><p><strong>Results: </strong>AI has exhibited strong performance in radiographic diagnostics, with high accuracy in reading cone-beam computed tomography (CBCT) scan, intraoral photographs, and radiographs. AI-facilitated predictive analysis has enhanced personalized care planning and disease avoidance, and AI-facilitated automation of workflows has maximized administrative workflows and patient record management. U-Net-based segmentation models exhibit sensitivities and specificities of approximately 93.0% and 88.0%, respectively, in identifying periapical lesions on 2D CBCT slices. TensorFlow-based workflow modules, integrated into vendor platforms such as Planmeca Romexis, can reduce the processing time of patient records by a minimum of 30 percent in standard practice. The privacy-preserving federated learning architecture has attained cross-site model consistency exceeding 90% accuracy, enabling collaborative training among diverse dentistry clinics. Explainable AI (XAI) and federated learning have enhanced AI transparency and security with technological advancement, but barriers include concerns regarding data privacy, AI bias, gaps in AI regulating, and training clinicians.</p><p><strong>Conclusions: </strong>AI is revolutionizing dentistry with enhanced diagnostic accuracy, predictive planning, and efficient administration automation. With technology developing AI software even smarter, ethics and legislation have to follow in order to allow responsible AI integration. To make AI in dental care work at its best, future research will have to prioritize AI interpretability, developing uniform protocols, and collaboration between specialties in order to allow AI's full potential in dentistry.</p>","PeriodicalId":8874,"journal":{"name":"Bioengineering","volume":"12 9","pages":""},"PeriodicalIF":3.7,"publicationDate":"2025-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12467570/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145172662","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Validation of Madecassoside Synergy Significantly Enhanced Cryptotanshinone's Therapeutic Efficacy Against Acne Vulgaris.","authors":"Yaling Guo, Xiaobin Yang, Lifeng Tang, Tao Liang, Rongshen Xiao, Qiang Liu","doi":"10.3390/bioengineering12090935","DOIUrl":"10.3390/bioengineering12090935","url":null,"abstract":"<p><p>Current acne therapies face major limitations, including antibiotic resistance and skin irritancy. In this study, a synergistic strategy combining cryptotanshinone and madecassoside was developed through functional complementarity. Antibacterial activity against <i>Cutibacterium acnes</i> was evaluated using minimum inhibitory concentration (MIC) and inhibition zone assays, while cytotoxicity was assessed using human keratinocytes (HaCaTs). Anti-inflammatory efficacy was quantified by measuring tumor necrosis factor-alpha (TNF-α), interleukin-1 beta (IL-1β), interleukin-6 (IL-6), and prostaglandin E₂ (PGE₂) in lipopolysaccharide-stimulated macrophages and a copper sulfate (CuSO₄)-induced zebrafish inflammatory model. Systemic safety was examined in zebrafish models (developmental toxicity and sodium dodecyl sulfate-induced irritation). Finally, macroscopic severity, histopathology, and serum cytokines were used to assess an oleic acid-induced rat acne model. Cryptotanshinone inhibited <i>Cutibacterium acnes</i> (minimum inhibitory concentration = 62.5 μg/mL) but exhibited cytotoxicity (>5 μg/mL) and irritancy (≥1000 μg/mL). Madecassoside eliminated cryptotanshinone-induced cytotoxicity and reduced irritation. Importantly, the combination maintained antibacterial efficacy while synergistically enhancing anti-inflammatory effects, achieving a 94% reduction in follicular hyperkeratosis compared with 39% for cryptotanshinone alone (<i>p</i> < 0.01), alongside normalization of histopathology and cytokine levels. In conclusion, madecassoside functionally complements cryptotanshinone by neutralizing its cytotoxicity and irritancy, enabling a safe, synergistic therapy that concurrently targets antibacterial and anti-inflammatory pathways in acne pathogenesis.</p>","PeriodicalId":8874,"journal":{"name":"Bioengineering","volume":"12 9","pages":""},"PeriodicalIF":3.7,"publicationDate":"2025-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12467506/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145172902","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Deep Ensemble Learning for Multiclass Skin Lesion Classification.","authors":"Tsu-Man Chiu, I-Chun Chi, Yun-Chang Li, Ming-Hseng Tseng","doi":"10.3390/bioengineering12090934","DOIUrl":"10.3390/bioengineering12090934","url":null,"abstract":"<p><p>The skin, the largest organ of the body, acts as a protective shield against external stimuli. Skin lesions, which can be the result of inflammation, infection, tumors, or autoimmune conditions, can appear as rashes, spots, lumps, or scales, or remain asymptomatic until they become severe. Conventional diagnostic approaches such as visual inspection and palpation often lack accuracy. Artificial intelligence (AI) improves diagnostic precision by analyzing large volumes of skin images to detect subtle patterns that clinicians may not recognize. This study presents a multiclass skin lesion diagnostic model developed using the CSMUH dataset, which focuses on the Eastern population. The dataset was categorized into seven disease classes for model training. A total of 25 pre-trained models, including convolutional neural networks (CNNs) and vision transformers (ViTs), were fine-tuned. The top three models were combined into an ensemble using the hard and soft voting methods. To ensure reliability, the model was tested through five randomized experiments and validated using the holdout technique. The proposed ensemble model, Swin-ViT-EfficientNetB4, achieved the highest test accuracy of 98.5%, demonstrating strong potential for accurate and early skin lesion diagnosis.</p>","PeriodicalId":8874,"journal":{"name":"Bioengineering","volume":"12 9","pages":""},"PeriodicalIF":3.7,"publicationDate":"2025-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12467972/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145172787","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Feasibility and Preliminary Efficacy of Wearable Focal Vibration Therapy on Gait and Mobility in People with Multiple Sclerosis: A Pilot Study.","authors":"Hongwu Wang, Yun Chan Shin, Nicole J Tester, Torge Rempe","doi":"10.3390/bioengineering12090932","DOIUrl":"10.3390/bioengineering12090932","url":null,"abstract":"<p><p>Multiple sclerosis (MS) is a chronic disease of the central nervous system that significantly impairs gait and mobility, contributing to a high risk of falls, reduced participation in daily activities, and diminished quality of life. Despite existing interventions such as exercise programs and pharmacological treatments, challenges such as fatigue, pain, and limited accessibility underscore the need for alternative therapies. Focal vibration therapy (FVT) has shown promise in improving gait, reducing spasticity, and enhancing mobility in people with MS (PwMS). However, further research is required to evaluate its long-term feasibility and optimize its parameters. This study examined the feasibility and preliminary efficacy of a home-based four-week wearable FVT device on gait and explored how FVT parameters impact gait and mobility outcomes. In this pilot double-blind randomized controlled trial, 22 PwMS were randomized into control and vibration groups (four FVT groups with varying vibration intensities/durations). Participants wore Myovolt^® vibrators on distal quadricep muscles near the rectus femoris insertion (approximately 2 cm from the medial edge of the patella), gastrocnemius/soleus, and tibialis anterior muscles (10 min/muscle, 3 days/week, 4 weeks). Feasibility was evaluated via adherence and satisfaction (QUEST 2.0, interviews). Gait (3D motion analysis) and mobility (T25FW) were assessed at baseline and post-intervention. Data were analyzed using descriptive/inferential statistics and thematic analysis. Of 22 participants, 17 completed post-intervention (16 intervention, 1 control). Wearable FVT showed promising feasibility, with high satisfaction despite minor adjustability issues. Intervention groups improved gait speed (<i>p</i> = 0.014), stride length (<i>p</i> = 0.004), and ankle angle (<i>p</i> = 0.043), but T25FW was unchanged (<i>p</i> > 0.05). High-intensity FVT enhanced knee/hip moments. This study's results support the feasibility of wearable FVT for home-based management of mobility symptoms in MS with high participant satisfaction and acceptance. Notable gains in gait parameters suggest FVT's potential to enhance neuromuscular control and proprioception but may be insufficient to lead to mobility improvements. Subgroup analyses highlighted the impact of vibration intensity and duration on knee joint mechanics, emphasizing the need for personalized dosing strategies. Challenges included participant retention in the control group and burdensome biomechanical assessments, which will be addressed in future studies through improved sham devices and a larger sample size.</p>","PeriodicalId":8874,"journal":{"name":"Bioengineering","volume":"12 9","pages":""},"PeriodicalIF":3.7,"publicationDate":"2025-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12467686/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145172590","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mindfulness-Based Interventions for Chronic Pulmonary Diseases: A Systematic Review of Effects on Anxiety, Depression, Stress, Dyspnea, and Quality of Life.","authors":"Alessia Bramanti, Colomba Pessolano, Marina Garofano, Angelo Antonio Maglio, Michele Ciccarelli, Luana Budaci, Mariaconsiglia Calabrese, Andrea Marino, Francesco Loria, Francesco Corallo, Placido Bramanti, Carmine Vecchione, Alessandro Vatrella","doi":"10.3390/bioengineering12090931","DOIUrl":"10.3390/bioengineering12090931","url":null,"abstract":"<p><p>(1) Background: Chronic pulmonary diseases (CPDs), such as COPD, asthma, and interstitial lung disease, are often accompanied by psychological distress and reduced quality of life. Mindfulness-Based Interventions (MBIs), including digital and virtual reality (VR) formats, have emerged as promising non-pharmacological approaches to improve symptom management and well-being. This systematic review aimed to evaluate the effectiveness of MBIs-delivered in-person or digitally-on anxiety, depression, disease-related stress, dyspnea, and health-related quality of life in individuals with CPDs. (2) Methods: A systematic review was conducted following PRISMA guidelines across PubMed, Scopus, and Web of Science (2005-2025). Thirteen studies (8 randomized controlled trials, 5 non-randomized) met inclusion criteria. Outcomes assessed included psychological distress, physical symptoms, and health-related quality of life (HRQoL). Risk of bias was evaluated using RoB 2 and ROBINS-I tools. (3) Results: MBIs were associated with improvements in anxiety, depression, stress, and HRQoL in several studies. Interventions were generally well-tolerated and effective across various delivery methods, including digital and VR-based formats. Improvements were especially notable when interventions were tailored and sustained. (4) Conclusions: MBIs, including digital and VR-delivered formats, show promise in supporting psychological and physical outcomes in CPD populations. They represent a feasible and complementary tool in modern respiratory care.</p>","PeriodicalId":8874,"journal":{"name":"Bioengineering","volume":"12 9","pages":""},"PeriodicalIF":3.7,"publicationDate":"2025-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12466979/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145172721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Keratinocyte Capability for Smooth Sheet Formation on a Step Pattern Substrate.","authors":"Nozomu Kitamura, Shoichi Makara, Masami Kojima, Isao Tsuyumoto, Masahiro Sokabe, Kennedy Omondi Okeyo, Hiroaki Hirata","doi":"10.3390/bioengineering12090929","DOIUrl":"10.3390/bioengineering12090929","url":null,"abstract":"<p><p>The proper architecture of the epidermis is crucial for the barrier function of the skin against the external environment. In interfollicular regions, the epidermis preserves a flat outer surface despite the undulating topography of the underlying basement membrane. However, the mechanisms by which the epidermis adapts its architecture to the basal topography remain unclear. In this study, using a substrate with micropatterned steps of a few cell heights, we demonstrate for the first time that keratinocytes on the topographically patterned substrate autonomously form a cell sheet with a smooth upper surface. Keratinocytes accumulate at higher densities near the rising edge of a step, resulting in a cell sheet with a logarithmic slope on its upper surface. Furthermore, we find that both adherens junction-mediated intercellular adhesion and cell proliferation are essential for the formation of the smooth keratinocyte sheet. These findings suggest the robustness of keratinocyte population morphogenesis against variations in basal topography, providing new insights into skin tissue engineering.</p>","PeriodicalId":8874,"journal":{"name":"Bioengineering","volume":"12 9","pages":""},"PeriodicalIF":3.7,"publicationDate":"2025-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12467466/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145172746","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Extracellular Vesicle Secretion from 3D Culture of Human Adipose-Derived Mesenchymal Stem Cells in Scalable Bioreactors.","authors":"Shaoyang Ma, Justice Ene, Colton McGarraugh, Shaoxuan Ma, Colin Esmonde, Yuan Liu, Yan Li","doi":"10.3390/bioengineering12090933","DOIUrl":"10.3390/bioengineering12090933","url":null,"abstract":"<p><p>Human mesenchymal stem cells (hMSCs) and their secreted extracellular vesicles (EVs) are promising therapeutics to treat degenerative or inflammatory diseases such as ischemic stroke and Alzheimer's disease (AD). hMSC-EVs have the coveted ability to contain therapeutically relevant biomaterials; however, EV biogenesis is sensitive to the culture microenvironment in vitro. Recently, the demand for hMSC-EVs has increased dramatically, highlighting the need for scalable bioreactors for large-scale biomanufacturing. In this study, adipose-derived hMSCs were seeded in 2D plates, an ultralow-attachment (ULA) plates as static aggregates, a novel vertical wheel bioreactor (VWBR) as aggregates, and a spinner flask bioreactor (SFB). EV secretion was quantified and compared using ExtraPEG-based ultracentrifugation and nanoparticle tracking analysis. Compared to the 2D group, significantly higher total EV production and cell productivity in the bioreactors were observed, as well as the upregulation of EV biogenesis genes. Furthermore, there was increased EV production in the VWBR compared to the SFB and the static ULA control. Functional assessments demonstrated that EVs, when delivered via culture medium or hydrogel-based systems, significantly attenuated oxidative stress elevation, suppressed proinflammatory cytokine secretion (e.g., TNF-α) and gene expression, and inhibited nuclear factor kappa-light-chain-enhancer of activated B-cell (NF-κB) activation and neurodegenerative markers across in vitro assays. These findings suggest EV-mediated mitigation of oxidative and inflammatory pathways, potentially through modulation of the NF-κB signaling cascade. This study shows the influence of bioreactor types and their microenvironments on EV secretion in hMSCs and their applications in hMSC-EV production and bioengineering.</p>","PeriodicalId":8874,"journal":{"name":"Bioengineering","volume":"12 9","pages":""},"PeriodicalIF":3.7,"publicationDate":"2025-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12467516/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145172638","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mendelian Randomization and Transcriptome Analyses Reveal Important Roles for CEBPB and CX3CR1 in Osteoarthritis.","authors":"Hui Gao, Xinling Gan, Jing He, Chengqi He","doi":"10.3390/bioengineering12090930","DOIUrl":"10.3390/bioengineering12090930","url":null,"abstract":"<p><p><b>Background</b>: Chemokines play a pivotal role in the progression of osteoarthritis (OA), but their exact mechanisms remain unclear. This study aimed to identify potential chemokine-associated biomarkers and investigate their causal relationships with OA. <b>Methods</b>: Transcriptome and genome-wide association study (GWAS) data were obtained from public databases, while chemokine-related genes (CRGs) were sourced from the literature. Initially, CRGs were expanded, followed by Mendelian randomization (MR) analysis, differential expression analysis, machine learning, and receiver operating characteristic (ROC) curve plotting to identify potential biomarkers. The causal relationships between these biomarkers and OA, as well as their biological functions, were further explored. <b>Results</b>: Fourteen candidate genes were identified for machine learning analysis, with <i>DDIT3</i>, C<i>E</i>BPB, <i>CX3CR1</i>, and <i>ARHGAP25</i> emerging as feature genes. <i>CEBPB</i> and <i>CX3CR1</i>, which exhibited AUCs > 0.7 in the GSE55235 and GSE55457 datasets, were selected as potential biomarkers. Notably, <i>CEBPB</i> expression was lower, while <i>CX3CR1</i> expression was elevated in the case group. Furthermore, both genes were co-enriched in spliceosome, lysosome, and cell adhesion molecule pathways. MR analysis confirmed that <i>CEBPB</i> and <i>CX3CR1</i> were causally linked to OA and acted as protective factors (IVW model for <i>CEBPB</i>: OR = 0.9051, <i>p</i> = 0.0001; IVW model for <i>CX3CR1</i>: OR = 0.8141, <i>p</i> = 0.0282). <b>Conclusions</b>: <i>CEBPB</i> and <i>CX3CR1</i> were identified as potential chemokine-related biomarkers, offering insights into OA and suggesting new avenues for further investigation.</p>","PeriodicalId":8874,"journal":{"name":"Bioengineering","volume":"12 9","pages":""},"PeriodicalIF":3.7,"publicationDate":"2025-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12467285/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145172756","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}