BioMedical Engineering OnLine最新文献

{"title":"Estimation of anaerobic threshold and peak oxygen uptake from tracheal sound during cycle ergometer cardiopulmonary exercise test.","authors":"Qi Zhang, Nasim Montazeri Ghahjaverestan, Cristina de Oliveira Francisco, Muammar Muhammad Kabir, Md Saiful Hoque, Shahram Kharabian Masouleh, Paul Oh, Susan Marzolini, Azadeh Yadollahi","doi":"10.1186/s12938-026-01540-7","DOIUrl":"10.1186/s12938-026-01540-7","url":null,"abstract":"<p><p>Cardiopulmonary exercise test (CPET) is widely used for assessing exercise capacity of individuals through ventilatory anaerobic threshold (AT) and peak oxygen uptake (VO_2peak). However, CPET requires specialized equipment, resources, time, and trained personnel. In this study, we investigated the feasibility of estimating ventilatory AT and submaximal VO_2peak using tracheal respiratory sounds recording with a wearable sensor (The Patch) during incremental cycle ergometer testing. Twenty-four healthy adults (18 females, age: 31.0 ± 9.1 years, body mass index: 23.5 ± 3.3 kg/m²) underwent CPET with simultaneous tracheal sounds recording. Acoustic features (sound energy, sound intensity, respiratory rate, and ventilation) were extracted. AT was identified from breakpoints in acoustic features and compared with reference AT from ventilatory gas analysis. VO_2peak was estimated using random forest regression models with subject-specific and subject-independent training models. Agreement with CPET was investigated using Bland-Altman analysis. Ventilatory AT was detected in 84% (sound energy) and 96% (sound intensity) of participants using The Patch. Workload stage agreement with CPET was 88% and 100% for sound energy and intensity, respectively, with AT timing within 20 s in 62% and 92% of cases. The subject specific model estimated VO_2peak with minimal bias [confidence intervals] of - 1.01 [- 3.04 to 1.02] (mL/kg/min), while the subject-independent validation model exhibited wider variability of - 1.28 [- 12.39 to 9.82] (mL/kg/min). Our results shows that tracheal sound analysis can estimate ventilatory AT and provides a promising approach for non-invasive exercise capacity assessment. On the other hand, the estimation of VO_2peak shows promise but requires further validation in maximal effort protocols.</p>","PeriodicalId":8927,"journal":{"name":"BioMedical Engineering OnLine","volume":" ","pages":""},"PeriodicalIF":4.6,"publicationDate":"2026-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13049783/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147316247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigating the early diagnostic value of popliteal artery wall shear stress in lower extremity arterial disease in type 2 diabetes patients using color Doppler ultrasound combined with WSS quantitative analysis.","authors":"Yuxin Zhao, He Wang, Junyi Gu, Yuqing Sun, Bo Zhang","doi":"10.1186/s12938-026-01539-0","DOIUrl":"10.1186/s12938-026-01539-0","url":null,"abstract":"<p><strong>Background: </strong>The global increase in type 2 diabetes mellitus (T2DM) has contributed to a growing burden of lower extremity arterial disease (LEAD), often detected at advanced stages due to limitations in current diagnostic methods. While the ankle-brachial index (ABI) is widely used, it provides no structural information; advanced imaging such as DSA, CTA, or MRA involves radiation, contrast agents, or high cost. Color Doppler ultrasound (DUS) offers a non-invasive and economical alternative for hemodynamic assessment. This study proposes an integrated approach combining DUS with custom MATLAB-based software to quantify wall shear stress (WSS) in the popliteal artery, aiming to establish WSS as a potential early marker of LEAD in T2DM patients.</p><p><strong>Results: </strong>In a study comparing T2DM patients to controls, T2DM groups showed significantly altered blood pressure, blood lipids, and blood viscosity, along with reduced WSS values, indicating advanced arterial damage. Specifically, WSS was lower in T2DM groups with normal and thickening IMT and those with plaque formation compared to controls. The optimal WSS cutoff for predicting LEAD was 1.82 dyne/cm², with a sensitivity of 68% and specificity of 83%. WSS negatively correlated with factors like age and disease duration, and positively with peak systolic velocity (PSV).</p><p><strong>Conclusions: </strong>Non-invasive WSS measurement using DUS provides a valuable diagnostic tool for early LEAD detection in T2DM patients. Reduced WSS in the popliteal artery is a predictive marker of disease onset, offering potential for earlier intervention and better management of LEAD, ultimately improving patient outcomes.</p>","PeriodicalId":8927,"journal":{"name":"BioMedical Engineering OnLine","volume":" ","pages":""},"PeriodicalIF":4.6,"publicationDate":"2026-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13040689/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147301772","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A systematic review of the biomechanical and biological impacts of ultrasound waves on skeletal tissues.","authors":"Amirhossein Montazeri, Mehrana Esnaasharieh, Roohalah Hajizadeh","doi":"10.1186/s12938-026-01517-6","DOIUrl":"10.1186/s12938-026-01517-6","url":null,"abstract":"<p><strong>Introduction: </strong>Ultrasound waves can affect bone and bone marrow, and widespread medical and industrial use increases the likelihood of direct or indirect exposure. This systematic review summarizes current evidence on the biological and biomechanical effects of high- and low-intensity ultrasound on skeletal tissues, with emphasis on safety.</p><p><strong>Methods: </strong>A systematic search was conducted across PubMed, ScienceDirect, Wiley Online Library, EMBASE, JSTOR, IEEE Xplore, Scopus, and Google Scholar (up to October 2024), guided by a PICO-based strategy. Studies were screened using predefined eligibility criteria, and 29 articles met the inclusion criteria for synthesis. Study quality was appraised using the Newcastle-Ottawa Scale (NOS) and the 2018 Mixed Methods Appraisal Tool (MMAT). The protocol was registered in PROSPERO (CRD42024620731).</p><p><strong>Results: </strong>Ultrasound technology has significant implications for health and safety due to its medical and industrial applications. High-intensity ultrasound waves may cause tissue damage, reduce bone density, and even lead to necrosis. However, controlled low-intensity ultrasound can be beneficial in medical treatments and tissue healing.</p><p><strong>Conclusions: </strong>To minimize potential risks, it is crucial to establish safety standards and enhance public awareness regarding the appropriate use of ultrasound technology. In summary, while prolonged exposure to ultrasound may adversely affect bone density and marrow integrity, the technology retains significant value in diagnostic and therapeutic applications.</p>","PeriodicalId":8927,"journal":{"name":"BioMedical Engineering OnLine","volume":"25 1","pages":""},"PeriodicalIF":4.6,"publicationDate":"2026-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12924520/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146257250","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparison between automated and manual segmentation in computed tomography for body composition analysis.","authors":"Cintia Pereira Kuss, Leandra Ulbricht, Klaus Schumacher, Wagner L Ripka","doi":"10.1186/s12938-026-01535-4","DOIUrl":"10.1186/s12938-026-01535-4","url":null,"abstract":"<p><strong>Background and objectives: </strong>Body composition (BC) assessment by computed tomography (CT) at the level of the third lumbar vertebra (L3) is considered the gold standard for evaluating muscle and adipose compartments. However, manual segmentation is time-consuming and impractical for large data sets. This study aimed to compare the automated method, Identificação Automatizada da Composição Corporal (IACC), with manual segmentation performed using 3D Slicer.</p><p><strong>Methods: </strong>This retrospective cross-sectional study included 126 participants, each contributing one single axial CT slice at the L3 level, obtained from routine clinical CT scans acquired between November 2023 and January 2025. Manual segmentations were performed in 3D Slicer by a trained evaluator and validated by an experienced radiologist. The IACC automatically identified the L3 level and segmented skeletal muscle (MUSCLE), subcutaneous adipose tissue (SAT), and visceral adipose tissue (VAT). Analyses included intra- and inter-rater reproducibility (ICC, Dice coefficient), Pearson correlation, agreement (ICC), and Bland-Altman plots. Results The mean analysis time was approximately 5 min per scan with IACC, compared with 25-30 min using the manual method. Intra-rater reproducibility was excellent (ICC > 0.99), and inter-rater agreement demonstrated high Dice coefficients for SAT (0.982), skeletal muscle (0.940), and VAT (0.932). Concordance between methods was high for SAT (ICC = 0.932) and VAT (ICC = 0.958), and good for skeletal muscle (ICC = 0.784), all with Pearson's r > 0.97. Bland-Altman analysis showed minimal mean bias for VAT (- 0.35 cm²) and small variability for SAT, indicating excellent agreement for adipose tissue compartments. In contrast, skeletal muscle presented greater disagreement, with a larger negative bias and wider limits of agreement, reflecting higher variability in automated measurements.</p><p><strong>Conclusions: </strong>IACC demonstrated high accuracy and efficiency for automated segmentation of SAT and muscle, substantially reducing analysis time compared to manual segmentation. Although greater variability was observed for skeletal muscle measurements, the tool shows promise for use in large-scale population studies and potential clinical applications, particularly, where rapid and standardized analyses are required.</p>","PeriodicalId":8927,"journal":{"name":"BioMedical Engineering OnLine","volume":" ","pages":""},"PeriodicalIF":4.6,"publicationDate":"2026-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13032204/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146225195","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A deep learning-based computer-aided determination method for dominant follicle identification and antral follicle count in pelvic MRI images.","authors":"Jingde Hong, Chunxia Chen, Ming Li, Juping Qiu, Binhua Dong, Yongping Lin","doi":"10.1186/s12938-026-01518-5","DOIUrl":"10.1186/s12938-026-01518-5","url":null,"abstract":"<p><strong>Object: </strong>To develop and evaluate a multi-stage computer-aided determination (CAD) method for automated antral follicle count (AFC) and dominant follicle identification using pelvic magnetic resonance imaging (MRI), aiming to overcome the limitations of MRI-based follicular analysis, including high annotation cost and dependence on manual interpretation.</p><p><strong>Materials and methods: </strong>A total of 417 T2-weighted MRI slices from 124 patients were selected by radiologists, ensuring ovarian visibility and excluding poor quality images. The proposed CAD method incorporates a You Only Look Once version 11 detection model, which accurately selects MRI slices containing ovarian structures. This is followed by LCR-UNet, a novel segmentation model that integrates a lightweight atrous spatial pyramid pooling module and a cascaded decoder (CR-decoder) with channel shuffle convolutional block and residual block.</p><p><strong>Results: </strong>The model achieved a Dice similarity coefficient of 0.8571 for follicle segmentation on MRI images. Based on pixel area ranking and ellipse fitting, dominant follicle identification reached an accuracy of 92.86% and an F1-score of 0.8929. Additionally, size-based filtering enabled automated counting of antral follicles with a precision of 82.91%.</p><p><strong>Discussion: </strong>The proposed CAD method approaches the performance of experienced radiologists while reducing manual workload, offering a reliable tool for ovarian reserve and fertility assessment.</p>","PeriodicalId":8927,"journal":{"name":"BioMedical Engineering OnLine","volume":"25 1","pages":""},"PeriodicalIF":4.6,"publicationDate":"2026-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12924341/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146257217","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A review of decomposition methods for brain states estimation.","authors":"Guoqiang Hu, Jinxing Wang, Ziyi Shui, Tianyang Wang, Deqing Wang, Siwen Luo, Hongbo Liu, Xinqiang Xie, Lisa D Nickerson","doi":"10.1186/s12938-026-01542-5","DOIUrl":"10.1186/s12938-026-01542-5","url":null,"abstract":"<p><p>In the rapidly advancing field of neuroscience, sophisticated imaging techniques such as functional magnetic resonance imaging (fMRI) enable detailed analysis of brain activity. Researchers increasingly seek to disentangle distinct brain states, recognizing that fMRI data typically comprise a mixture of these states. To enable independent analysis of individual brain states, numerous methodologies have been proposed, each requiring careful consideration in practical application. This review provides a comprehensive survey of decomposition methods, covering classical, probabilistic, and tensor-based approaches and their applications. Furthermore, the review discusses additional methodological considerations essential for the effective use of these techniques. By comparing decomposition algorithms with other widely used techniques in fMRI data analysis, this review highlights their methodological strengths and limitations, and further demonstrates their broad applicability for extracting brain states from fMRI data.</p>","PeriodicalId":8927,"journal":{"name":"BioMedical Engineering OnLine","volume":" ","pages":""},"PeriodicalIF":4.6,"publicationDate":"2026-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13020210/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146218439","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Synthesis and processing of PCL (polycaprolactone) and IRDye nanoparticles and their biodistribution.","authors":"Michael Adeniyi, Mahrima Parvin, Khaleda Akter, Ali S Arbab, Rafael L Quirino, Mujibur Khan","doi":"10.1186/s12938-026-01544-3","DOIUrl":"10.1186/s12938-026-01544-3","url":null,"abstract":"<p><p>This study aims to develop core-shell nanoparticles using biodegradable polycaprolactone (PCL) and a fluorescent dye, and to investigate their biodistribution to evaluate the drug-release mechanism. PCL was electrosprayed coaxially with two types of dye: N-hydroxysuccinimide (NHS) and Dextran Texas Red in two separate experiments. The PCL solution was prepared by dissolving PCL in a combination of acetic acid, formic acid, and trifluoroethanol. The IRDye solutions were prepared by dissolving the dye in dimethylformamide. The parameters for electrospraying include a voltage range of 15-45 kV, a core flow rate of 0.5 mL/h, a sheath flow rate of 0.7 mL/h, a tip-to-collector distance of 160 mm, and a humidity level between 45 and 55%. Ultraviolet-visible (UV-VIS) spectrophotometry was employed to identify the presence of the molecules before and after the electrospray process. UV-VIS detected the presence of the polymer-encapsulated Dextran Texas Red after electrospraying at 15 kV within a wavelength range of 700-720 nm. A scanning electron microscope was utilized to observe the morphology of the nanoparticles. The PCL and NHS nanoparticles showed randomly formed particle shapes. However, the morphology of the Dextran and PCL nanoparticles showed uniform surface features and did not exhibit large beads or bundles of particles. In vivo biodistribution and fluorescent imaging of the nanoparticles were conducted after they were injected into mice. Dextran Texas Red did not show any fluorescent activities in the body; however, NHS IRDye nanoparticles showed distribution at different organs with clearance through the kidneys and increased activity in the urinary bladder.</p>","PeriodicalId":8927,"journal":{"name":"BioMedical Engineering OnLine","volume":" ","pages":""},"PeriodicalIF":4.6,"publicationDate":"2026-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13014884/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146206447","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"LncRNA RNF144A-AS1 increases P300-mediated H4K5 acetylation of PDE4 to promote keloid fibrosis.","authors":"Yujing Liu, Suihai Wang, Shanshan Wei, Xianwen Qiu, Yijie Mei, Lu Yan","doi":"10.1186/s12938-026-01538-1","DOIUrl":"10.1186/s12938-026-01538-1","url":null,"abstract":"<p><strong>Background: </strong>Keloid fibrosis is characterized by aberrant fibroblast activation and excessive collagen accumulation following cutaneous injury. This study investigates the mechanism by which LncRNA RNF144A-AS1 promotes keloid fibrosis by mediating H4K5 acetylation, providing potential targets for developing novel therapeutic interventions.</p><p><strong>Methods: </strong>Keloid fibroblasts were transfected with si-RNF144A-AS1, followed by detection of RNF144A-AS1, HUR, P300, and PDE4 expression. The levels of TNF-α, TGF-β1, and IL-1β were measured by ELISA. The expression of α-SMA, COL1A1, HUR, P300, and PDE4 was assessed by western blot. The binding between RNF144A-AS1 and HUR was validated using RIP and RNA pull-down assays. Actinomycin D treatment was used to assess P300 mRNA stability. The enrichment of P300 and H4K5ac on the PDE4 promoter was detected by Ch-IP. Combined experiments were used to verify the role of RNF144A-AS1 in keloid fibrosis via the P300/PDE4 axis. Bleomycin sulfate-induced keloid mouse models were established. After silencing RNF144A-AS1 in mice, the skin tissue changes, dermal thickness, and collagen deposition were evaluated. α-SMA and TGF-β1 expression was detected by IHC.</p><p><strong>Results: </strong>RNF144A-AS1 was highly expressed in keloid fibrosis cell models. RNF144A-AS1 downregulation reduced cell viability and decreased the expression of TGF-β1, TNF-α, IL-1β, α-SMA, and COL1A1. RNF144A-AS1 bound to HUR to promote P300 expression. P300 upregulated histone H4K5 acetylation on the PDE4 promoter, enhancing PDE4 expression. Overexpression of P300 or PDE4 partially reversed the inhibitory effects of RNF144A-AS1 knockdown on keloid fibrosis. Silencing RNF144A-AS1 suppressed keloid fibrosis in vivo.</p><p><strong>Conclusions: </strong>RNF144A-AS1 drives keloid fibrosis through P300-mediated H4K5 acetylation of PDE4.</p>","PeriodicalId":8927,"journal":{"name":"BioMedical Engineering OnLine","volume":" ","pages":""},"PeriodicalIF":4.6,"publicationDate":"2026-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13011735/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146197155","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Respiratory mechanics: modelling, measurement and clinical applications-a review.","authors":"Anuva Chowdhury, Mathias Baumert","doi":"10.1186/s12938-026-01537-2","DOIUrl":"10.1186/s12938-026-01537-2","url":null,"abstract":"<p><p>The mechanical properties of the airways significantly impact respiration, and estimating respiratory mechanics provides important insights for diagnosing and monitoring respiratory diseases, such as asthma and chronic obstructive pulmonary disease. Here, we review electrical equivalent models of human respiratory mechanics and derive the mathematical expressions of their impedance. We describe the necessity of transitioning from a basic single-compartment model to a multi-frequency constant-phase model to represent respiratory mechanics in both health and disease. We review the forced oscillation technique and impulse oscillometry systems, which are clinically used to measure respiratory mechanics via respiratory impedance, and examine their roles in respiratory diseases. We also describe how respiratory impedance can be interpreted using these electrical analog representations to estimate key mechanical parameters. Attention is given to the limitations arising from device-specific variability and intra- and inter-breath fluctuations, where frequency-compensation filters and modelling strategies incorporating nonlinear resistance and compliance models could enhance the robustness and standardization of impedance-based analysis.</p>","PeriodicalId":8927,"journal":{"name":"BioMedical Engineering OnLine","volume":" ","pages":""},"PeriodicalIF":4.6,"publicationDate":"2026-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12998074/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146177623","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Transgenic high expression of EphB4 in canine periodontal ligament stem cells modulates osteogenic differentiation and migration in cPDLSCs.","authors":"Chang Shun Li, Xin Zhang, Hao Liu, Yan Feng, Lei Wang, Meng Zhou, Ni Na Xie, Shao Yue Zhu","doi":"10.1186/s12938-026-01533-6","DOIUrl":"10.1186/s12938-026-01533-6","url":null,"abstract":"<p><strong>Background: </strong>Signaling molecules play a critical role in regulating stem cell-mediated bone regeneration. In this study, we investigated the effect of EphB4 gene transfection on the osteogenic differentiation and migratory capacity of canine periodontal ligament stem cells (cPDLSCs). Using a lentiviral vector, we established stable EphB4-overexpressing cPDLSCs and evaluated their functional properties in vitro and regenerative potential in vivo.</p><p><strong>Results: </strong>Our results demonstrated that EphB4 transfection significantly enhanced the osteogenic capability of cPDLSCs, as evidenced by elevated expression of osteogenic markers-osteocalcin, Runx2, and collagen type I-along with increased mineral deposition. Furthermore, EphB4 overexpression strongly promoted cell migration, indicating roles in enhancing cell homing and recruitment. Mechanistic analyses indicated that these effects were associated with greater EphB4 phosphorylation, suggesting activation of forward signaling pathways. In a canine alveolar bone defect model, transplantation of EphB4-modified cPDLSCs led to significantly augmented bone regeneration compared with control groups. Micro-computed tomography analysis revealed greater bone volume/total volume ratio, increased trabecular number and thickness, and reduced trabecular separation. Histological and immunohistochemical analyses confirmed greater expression of osteogenic proteins in the EphB4 group; no significant differences were observed between the two control groups (untreated cPDLSCs and empty vector-transduced cPDLSCs).</p><p><strong>Conclusions: </strong>These findings collectively indicate that EphB4 overexpression potentiates the osteogenic and migratory properties of cPDLSCs, thereby promoting alveolar bone repair in vivo. Our results highlight the therapeutic potential of EphB4 for periodontal and bone regeneration applications.</p>","PeriodicalId":8927,"journal":{"name":"BioMedical Engineering OnLine","volume":" ","pages":""},"PeriodicalIF":4.6,"publicationDate":"2026-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13123108/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146148862","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}