IF 2.3 4区医学

Journal of Biomaterials Applications Pub Date : 2025-04-01 Epub Date: 2025-01-07 DOI: 10.1177/08853282241304396

Guixian Chen

{"title":"Investigation of polyvinylpyrrolidone-catechol-derived chitosan nanoconjugates allowed for kidney-targeted treatment of cisplatin-induced acute kidney injury and nursing care management.","authors":"Guixian Chen","doi":"10.1177/08853282241304396","DOIUrl":"10.1177/08853282241304396","url":null,"abstract":"Acute kidney injury (AKI) resulting from cisplatin (Cs) chemotherapy presents a significant challenge in clinical management. The study aimed to fabricate a novel compound Polyvinylpyrrolidone-catechol-derived chitosan nanoconjugates (PCChi-NC) for targeting Cs-induced AKI. Characterization studies utilizing UV-visible spectrophotometry, FT-IR, XRD, and TEM revealed a spherical morphology with diameters ranging from 20 to 60 nm. In vitro assessments utilizing HEK 293 cell lines demonstrated the biocompatibility of PCChi-NC without eliciting toxic effects. Furthermore, PCChi-NC exhibited a notable reduction in Cs-induced cell death in kidney cells, as evidenced by biomarker analysis. Anti-inflammatory analysis of mouse kidney homogenates revealed a decrease in TNF-α and IL-1β levels, indicative of the therapeutic efficacy of PCChi-NC in mitigating Cs-induced kidney inflammation. Moreover, In vivo, experimental analysis was evidenced by stable body weight and histopathological changes in mice. Our findings highlight the potential of PCChi-NC as a promising candidate for targeted therapy in Cs-induced AKI, owing to its unique renal targeting capacity.","PeriodicalId":15138,"journal":{"name":"Journal of Biomaterials Applications","volume":" ","pages":"1084-1096"},"PeriodicalIF":2.3,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142947926","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Gingival keratinocyte adhesion on atomic layer-deposited hydroxyapatite coated titanium. 羟基磷灰石包覆钛原子层沉积的牙龈角化细胞粘附。

IF 2.3 4区医学

Journal of Biomaterials Applications Pub Date : 2025-04-01 Epub Date: 2025-01-08 DOI: 10.1177/08853282251313503

Faleh Abushahba, Sini Riivari, Nagat Areid, Elisa Närvä, Elina Kylmäoja, Mikko Ritala, Juha Tuukkanen, Pekka K Vallittu, Timo O Närhi

{"title":"Gingival keratinocyte adhesion on atomic layer-deposited hydroxyapatite coated titanium.","authors":"Faleh Abushahba, Sini Riivari, Nagat Areid, Elisa Närvä, Elina Kylmäoja, Mikko Ritala, Juha Tuukkanen, Pekka K Vallittu, Timo O Närhi","doi":"10.1177/08853282251313503","DOIUrl":"10.1177/08853282251313503","url":null,"abstract":"This study aimed to evaluate the effects of the atomic layer deposited hydroxyapatite (ALD-HA) coating of the titanium (Ti) surface on human gingival keratinocyte (HGK) cell adhesion, spreading, viability, and hemidesmosome (HD) formation. Grade 2 square-shaped Ti substrates were used (n = 62). Half of the substrates were ALD-HA coated, while the other half were used as non-coated controls (NC). The ALD-HA surface was characterized with scanning electron microscopy (SEM) and energy dispersive X-ray spectroscopy (EDS) analysis. The initial cell adhesion and HD formation of HGKs were evaluated after a 24-h cultivation period. The cell proliferation was assessed by cultivating cells for 1, 3, and 7 d. The expression levels of the integrin mediating cell adhesion were detected with the Western Blot method. In addition, cell spreading and expression of the proteins mediating cell adhesion were imaged using a confocal microscope. SEM-EDS analysis demonstrated the formation of HA on the ALD-HA surfaces. The relative cell attachment was significantly higher (p < .05) on the ALD-HA compared to the NC surface after 1 and 3 d of cell culture. No significant difference was found in integrin α6 or β4 expression. The microscope evaluation showed significantly increased cell spreading with peripheral HD expression on ALD-HA compared to the NC surfaces (p = .0001). Moreover, laminin γ2 expression was significantly higher on the ALD-HA than on the NC surfaces (p < .001). Compared to the NC Ti surface, the ALD-HA coating has favorable effects on HGK proliferation, growth, and cell spreading. This indicates that the ALD-HA coating has good potential for improving mucosal attachment on implant surfaces.","PeriodicalId":15138,"journal":{"name":"Journal of Biomaterials Applications","volume":" ","pages":"1055-1063"},"PeriodicalIF":2.3,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142949414","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multifunctional electrospinning periosteum: Development status and prospect. 多功能静电纺丝骨膜：发展现状与展望。

IF 2.3 4区医学

Journal of Biomaterials Applications Pub Date : 2025-04-01 Epub Date: 2025-01-11 DOI: 10.1177/08853282251315186

Jinli Zhu, Meifeng Li, Shuoshuo Yang, Yang Zou, Yonggang Lv

{"title":"Multifunctional electrospinning periosteum: Development status and prospect.","authors":"Jinli Zhu, Meifeng Li, Shuoshuo Yang, Yang Zou, Yonggang Lv","doi":"10.1177/08853282251315186","DOIUrl":"10.1177/08853282251315186","url":null,"abstract":"In the repair of large bone defects, loss of the periosteum can result in diminished osteoinductive activity, nonunion, and incomplete regeneration of the bone structure, ultimately compromising the efficiency of bone regeneration. Therefore, the research and development of tissue-engineered periosteum which can replace the periosteum function has become the focus of current research. The functionalized electrospinning periosteum is expected to mimic the natural periosteum and enhance bone repair processes more effectively. This review explores the construction strategies for functionalized electrospun periosteum from the following perspectives: ⅰ) bioactive factor modification (bone morphogenetic protein-2 (BMP-2), vascular endothelial growth factor (VEGF) etc.), ⅱ) inorganic compound modification, ⅲ) drug modification, ⅳ) artificial periosteum in response to physical stimuli. Furthermore, the construction of artificial periosteum through electrospinning, in conjunction with other strategies, is also analyzed. Finally, the current challenges and prospects for the development of electrospinning periosteum are also discussed.","PeriodicalId":15138,"journal":{"name":"Journal of Biomaterials Applications","volume":" ","pages":"996-1013"},"PeriodicalIF":2.3,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142965038","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Quantum machine learning regression optimisation for full-scale sewage sludge anaerobic digestion

IF 11.4 1区工程技术

npj Clean Water Pub Date : 2025-03-05 DOI: 10.1038/s41545-025-00440-y

Yomna Mohamed, Ahmed Elghadban, Hei I Lei, Amelie Andrea Shih, Po-Heng Lee

{"title":"Quantum machine learning regression optimisation for full-scale sewage sludge anaerobic digestion","authors":"Yomna Mohamed, Ahmed Elghadban, Hei I Lei, Amelie Andrea Shih, Po-Heng Lee","doi":"10.1038/s41545-025-00440-y","DOIUrl":"https://doi.org/10.1038/s41545-025-00440-y","url":null,"abstract":"Anaerobic digestion (AD) is a crucial bioenergy source widely applied in wastewater treatment. However, its efficiency improvement is hindered by complex microbial communities and sensitivity to feedstock properties. We, thus, propose a hybrid quantum-classical machine learning (Q-CML) regression algorithm using a quantum circuit learning (QCL) strategy. Combining a variational quantum circuit with a classical optimiser, this approach predicts biogas production from operational data of 18 full-scale mesophilic AD sites in the UK. Tailored for noisy intermediate-scale quantum (NISQ) devices, the low-depth QCL model outperforms conventional regression methods (R²: 0.53) and matches the performance of a classical multi-layer perceptron (MLP) regressor (R²: 0.959) with significantly fewer parameters and better scalability. Comparative analysis highlights the advantages of quantum superposition and entanglement in capturing intricate correlations in AD data. This study positions Q-CML as a cutting-edge solution for optimising AD processes, boosting energy recovery, and driving the circular economy.","PeriodicalId":19375,"journal":{"name":"npj Clean Water","volume":"183 1","pages":""},"PeriodicalIF":11.4,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143546187","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Magnesium-Promoted Catalytic Stability of the Cu/ZnO/ZrO2/Al2O3-MgO Catalyst in CO2 Hydrogenation to Methanol 镁促进 Cu/ZnO/ZrO2/Al2O3-MgO 催化剂在二氧化碳加氢制甲醇过程中的催化稳定性

IF 4.2 3区工程技术

Industrial & Engineering Chemistry Research Pub Date : 2025-03-05 DOI: 10.1021/acs.iecr.4c04518

Seong-rye Kim, Ye-Na Choi, Kwangho Park, Hong-Gyung Lee, Kyung Rok Lee, Hongjin Park, Sungho Yoon, Kwan Young Lee, Kwang-Deog Jung

{"title":"Magnesium-Promoted Catalytic Stability of the Cu/ZnO/ZrO2/Al2O3-MgO Catalyst in CO2 Hydrogenation to Methanol","authors":"Seong-rye Kim, Ye-Na Choi, Kwangho Park, Hong-Gyung Lee, Kyung Rok Lee, Hongjin Park, Sungho Yoon, Kwan Young Lee, Kwang-Deog Jung","doi":"10.1021/acs.iecr.4c04518","DOIUrl":"https://doi.org/10.1021/acs.iecr.4c04518","url":null,"abstract":"A Mg-promoted Cu/ZnO/ZrO2/Al2O3 catalyst (CZZAM) was developed for methanol synthesis via CO2 hydrogenation. Incorporating magnesium into the catalyst precursor improved the durability, addressing stability issues in our previously reported Cu/ZnO/ZrO2/Al2O3 (CZZA) catalysts. Comparative evaluations showed that CZZAM outperforms commercial Cu/ZnO/Al2O3 (CZA) and CZZA catalysts, achieving a maximum methanol space–time yield of 0.99 gMeOH·gcat–1·h–1 with a methanol selectivity of 50.6% and a yield of 12.7% under 24,000 mL·gcat–1·h–1 at 260 °C and 5 MPa. In a 60 h test, CZZAM exhibited only a 2.8% decrease in methanol productivity compared to over 9 to 10% declines for CZA and CZZA. Characterizations revealed that Mg addition enhanced Cu nanoparticle dispersion and structural stability. These findings demonstrate that Mg incorporation effectively enhances activity and stability in Cu/ZnO/ZrO2/Al2O3 catalysts for CO2 hydrogenation to methanol.","PeriodicalId":39,"journal":{"name":"Industrial & Engineering Chemistry Research","volume":"30 1","pages":""},"PeriodicalIF":4.2,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143546960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Quercetin–Copper Complexation-Based Porous Polymer for Chromium, Mercury, and Cadmium Metal Ion Adsorption: Experimental and Computational Study 基于槲皮素-铜络合的多孔聚合物对铬、汞和镉金属离子的吸附：实验与计算研究

IF 4.2 3区工程技术

Industrial & Engineering Chemistry Research Pub Date : 2025-03-05 DOI: 10.1021/acs.iecr.4c04523

Raveena, Rahul Kalita, Maku Moronshing, Pratibha Kumari, Kuntal Manna, Rita Kakkar

{"title":"Quercetin–Copper Complexation-Based Porous Polymer for Chromium, Mercury, and Cadmium Metal Ion Adsorption: Experimental and Computational Study","authors":"Raveena, Rahul Kalita, Maku Moronshing, Pratibha Kumari, Kuntal Manna, Rita Kakkar","doi":"10.1021/acs.iecr.4c04523","DOIUrl":"https://doi.org/10.1021/acs.iecr.4c04523","url":null,"abstract":"Heavy metal ions in water bodies pose a serious threat to human health and the environment. To overcome this issue, we developed a polymeric quercetin–copper complex (QC) as a novel adsorbent for heavy metal removal. This material was characterized using different techniques. Its structure was also investigated using density functional theory (DFT) calculations, which revealed the formation of a highly stable 2:1 complex between quercetin and Cu2+ ion. The QC polymer exhibited >95% adsorption efficiency for removing heavy metals under acidic and neutral pH conditions. The adsorption capacities were 2.50, 0.77, and 0.54 mmol/g for Cr3+, Hg2+, and Cd2+ ions, respectively, under neutral pH conditions. DFT calculations also indicated high adsorption energies of −34.32, −15.10, and −12.37 eV for Cr3+, Hg2+, and Cd2+, respectively. The QC polymer was easily recovered and reused for removal studies of these metal ions without showing a significant loss in its adsorption capacity.","PeriodicalId":39,"journal":{"name":"Industrial & Engineering Chemistry Research","volume":"42 1","pages":""},"PeriodicalIF":4.2,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143546962","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A preliminary study on an effective and simplistic self-healing concept for cement using coarse clinker particles as the healing agent

IF 11.4 1区工程技术

Cement and Concrete Research Pub Date : 2025-03-05 DOI: 10.1016/j.cemconres.2025.107859

Jialiang Wang, Min Wu

引用次数: 0

A data-efficient strategy for building high-performing medical foundation models

IF 28.1 1区医学

Nature Biomedical Engineering Pub Date : 2025-03-05 DOI: 10.1038/s41551-025-01365-0

Yuqi Sun, Weimin Tan, Zhuoyao Gu, Ruian He, Siyuan Chen, Miao Pang, Bo Yan

{"title":"A data-efficient strategy for building high-performing medical foundation models","authors":"Yuqi Sun, Weimin Tan, Zhuoyao Gu, Ruian He, Siyuan Chen, Miao Pang, Bo Yan","doi":"10.1038/s41551-025-01365-0","DOIUrl":"https://doi.org/10.1038/s41551-025-01365-0","url":null,"abstract":"Foundation models are pretrained on massive datasets. However, collecting medical datasets is expensive and time-consuming, and raises privacy concerns. Here we show that synthetic data generated via conditioning with disease labels can be leveraged for building high-performing medical foundation models. We pretrained a retinal foundation model, first with approximately one million synthetic retinal images with physiological structures and feature distribution consistent with real counterparts, and then with only 16.7% of the 904,170 real-world colour fundus photography images required in a recently reported retinal foundation model (RETFound). The data-efficient model performed as well or better than RETFound across nine public datasets and four diagnostic tasks; and for diabetic-retinopathy grading, it used only 40% of the expert-annotated training data used by RETFound. We also support the generalizability of the data-efficient strategy by building a classifier for the detection of tuberculosis on chest X-ray images. The text-conditioned generation of synthetic data may enhance the performance and generalization of medical foundation models.","PeriodicalId":19063,"journal":{"name":"Nature Biomedical Engineering","volume":"52 1","pages":""},"PeriodicalIF":28.1,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143546025","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Bayesian Optimization in Bioprocess Engineering—Where Do We Stand Today?

IF 3.8 2区生物学

Biotechnology and Bioengineering Pub Date : 2025-03-05 DOI: 10.1002/bit.28960

Florian Gisperg, Robert Klausser, Mohamed Elshazly, Julian Kopp, Eva Přáda Brichtová, Oliver Spadiut

引用次数: 0

Deep mutational learning for the selection of therapeutic antibodies resistant to the evolution of Omicron variants of SARS-CoV-2

IF 28.1 1区医学

Nature Biomedical Engineering Pub Date : 2025-03-05 DOI: 10.1038/s41551-025-01353-4

Lester Frei, Beichen Gao, Jiami Han, Joseph M. Taft, Edward B. Irvine, Cédric R. Weber, Rachita K. Kumar, Benedikt N. Eisinger, Andrey Ignatov, Zhouya Yang, Sai T. Reddy

{"title":"Deep mutational learning for the selection of therapeutic antibodies resistant to the evolution of Omicron variants of SARS-CoV-2","authors":"Lester Frei, Beichen Gao, Jiami Han, Joseph M. Taft, Edward B. Irvine, Cédric R. Weber, Rachita K. Kumar, Benedikt N. Eisinger, Andrey Ignatov, Zhouya Yang, Sai T. Reddy","doi":"10.1038/s41551-025-01353-4","DOIUrl":"https://doi.org/10.1038/s41551-025-01353-4","url":null,"abstract":"Most antibodies for treating COVID-19 rely on binding the receptor-binding domain (RBD) of SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2). However, Omicron and its sub-lineages, as well as other heavily mutated variants, have rendered many neutralizing antibodies ineffective. Here we show that antibodies with enhanced resistance to the evolution of SARS-CoV-2 can be identified via deep mutational learning. We constructed a library of full-length RBDs of Omicron BA.1 with high mutational distance and screened it for binding to the angiotensin-converting-enzyme-2 receptor and to neutralizing antibodies. After deep-sequencing the library, we used the data to train ensemble deep-learning models for the prediction of the binding and escape of a panel of eight therapeutic antibody candidates targeting a diverse range of RBD epitopes. By using in silico evolution to assess antibody breadth via the prediction of the binding and escape of the antibodies to millions of Omicron sequences, we found combinations of two antibodies with enhanced and complementary resistance to viral evolution. Deep learning may enable the development of therapeutic antibodies that remain effective against future SARS-CoV-2 variants.","PeriodicalId":19063,"journal":{"name":"Nature Biomedical Engineering","volume":"24 1","pages":""},"PeriodicalIF":28.1,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143545993","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

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