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Biomaterials and emerging technologies for tissue engineering and in vitro models

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Bio-Design and Manufacturing 2024年第3期7卷 237-239页

作者： J.miguel Oliveira rui L.Reis 3B’s Research Group I3Bs-Research Institute on BiomaterialsBiodegradables and BiomimeticsHeadquarters of the European Institute of Excellence on Tissue Engineering and Regenerative MedicineUniversity of MinhoAveParkZona Industrial da Gandra4805-017 BarcoGuimarãesPortugal ICVS/3B’s-PT Government Associate Laboratory 4806-909 Braga/GuimarãesPortugal

The latest advances in the field of biomaterials have opened new avenues for scientific breakthroughs in tissue engineer-ing which greatly contributed for the successful translation of tissue engineering products into the market/clinics.Bio-materials are easily processed to become similar to natural extracellular matrix,making them ideal temporary supports for mimicking the three-dimensional(3D)microenvironment required for maintaining the adequate cell/tissue functions both in vitro and in vivo^([1]).

关键词： breakthrough biomaterials engineer

Highly sensitive ratiometric fluorescent fiber matrices for oxygen sensing with micrometer spatial resolution

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Bio-Design and Manufacturing 2024年第3期7卷 292-306页

作者： Giuliana Grasso Valentina Onesto Stefania Forciniti Eliana D’Amone Francesco Colella Lara Pierantoni Valeria Famà Giuseppe Gigli rui L.Reis J.miguel Oliveira Loretta L.del Mercato nstitute of Nanotechnology National Research Council(CNR-NANOTEC)c/o Campus Ecoteknevia Monteroni73100 LecceItaly Department of Mathematics and Physics“Ennio De Giorgi” University of Salentoc/o Campus Ecoteknevia Monteroni73100 LecceItaly 3B’s Research Group I3Bs–Research Institute on BiomaterialsBiodegradables and BiomimeticsHeadquarters of the European Institute of Excellence on Tissue Engineering and Regenerative MedicineUniversity of MinhoAveParkZona Industrial da Gandra4805-017 BarcoGuimarãesPortugal ICVS/3B’s-PT Government Associate Laboratory 4806-909 Braga/GuimarãesPortugal Department of Experimental Medicine University of Salentoc/o Campus Ecoteknevia Monteroni73100 LecceItaly

Oxygen(O_(2))-sensing matrices are promising tools for the live monitoring of extracellular O_(2) consumption levels in long-term cell cultures.In this study,ratiometric O_(2)-sensing membranes were prepared by electrospinning,an easy,low-cost,scalable,and robust method for fabricating nanofibers.Poly(ε-caprolactone)and poly(dimethyl)siloxane polymers were blended with tris(4,7-diphenyl-1,10-phenanthroline)ruthenium(II)dichloride,which was used as the O_(2)-sensing probe,and rhodamine B isothiocyanate,which was used as the reference dye.The functionalized scaffolds were morphologically characterized by scanning electron microscopy,and their physicochemical profiles were obtained by Fourier transform infrared spectroscopy,thermogravimetric analysis,and water contact angle measurement.The sensing capabilities were investigated by confocal laser scanning microscopy,performing photobleaching,reversibility,and calibration curve studies toward different dissolved O_(2)(DO)concentrations.Electrospun sensing nanofibers showed a high response to changes in DO concentrations in the physiological-pathological range from 0.5%to 20%and good stability under ratiometric imaging.In addition,the sensing systems were highly biocompatible for cell growth promoting adhesiveness and growth of three cancer cell lines,namely metastatic melanoma cell line SK-MEL2,breast cancer cell line MCF-7,and pancreatic ductal adenocarcinoma cell line Panc-1,thus recreating a suitable biological environment in vitro.These O_(2)-sensing biomaterials can potentially measure alterations in cell metabolism caused by changes in ambient O_(2)content during drug testing/validation and tissue regeneration processes.

关键词： Electrospinning Ruthenium(II)dichloride Oxygen sensors Ratiometric imaging Fluorescence

Data error propagation in stacked bioclimatic envelope models

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Integrative Zoology 2024年第2期19卷 262-276页

作者： Xueyan LI Babak NAIMI Peng gonG miguel B.ARAÚJO Guangdong Provincial Key Laboratory of Remote Sensing and Geographical Information System Guangdong Open Laboratory of Geospatial Information Technology and ApplicationGuangzhou Institute of GeographyGuangdong Academy of ScienceGuangzhouChina ‘rui Nabeiro’Biodiversity Chair CHANGE-MED InstituteUniversity ofÉvoraÉvoraPortugal Department of Geography and Department of Earth Sciences University of Hong KongHong KongChina Department of Biogeography and Global Change National Museum of Natural SciencesCSICMadridSpain

Stacking is the process of overlaying inferred species potential distributions for multiple species based on outputs of bioclimatic envelope models(BEMs).The approach can be used to investigate patterns and processes of species richness.If data limitations on individual species distributions are inevitable,but how do they affect inferences of patterns and processes of species richness?We investigate the influence of different data sources on estimated species richness gradients in China.We fitted BEMs using species distributions data for 334 bird species obtained from(1)global range maps,(2)regional checklists,(3)museum records and surveys,and(4)citizen science data using presence-only(Mahalanobis distance),presence-background(MAXENT),and presence–absence(GAM and BRT)BEMs.Individual species predictions were stacked to generate species richness gradients.Here,we show that different data sources and BEMs can generate spatially varying gradients of species richness.The environmental predictors that best explained species distributions also differed between data sources.Models using citizen-based data had the highest accuracy,whereas those using range data had the lowest accuracy.Potential richness patterns estimated by GAM and BRT models were robust to data uncertainty.When multiple data sets exist for the same region and taxa,we advise that explicit treatments of uncertainty,such as sensitivity analyses of the input data,should be conducted during the process of modeling.

关键词： richness patterns species distribution stacked bioclimatic envelope models uncertainty

Robotic4all project:Results of a hands-on robotic surgery training program

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Laparoscopic, Endoscopic and Robotic Surgery 2023年第1期6卷 1-8页

作者： Mario rui gonçalves Jose Novo de Matos Antonio Oliveira Ricardo Marinho Irene Cadime Palmira Carlos alves Salvador Morales-Conde miguel Castelo-Branco Faculty of Health Sciences University of Beira InteriorCovilha 6200-506Portugal Centro Hospitalar Universitario Lisboa Central Hospital de Sao JoseLisboa 1150-199Portugal Centro Hospitalar de Tras-os-Montes e Alto Douro Vila Real 5000-508Portugal Centro Hospitalar de Leiria Hospital de Santo AndreLeiria 2410-197Portugal Centro de Investigaçao em Psicologia Escola de Psicologia-Universidade do MinhoBraga 4710-057Portugal Departamento de Estudos Curriculares e Tecnologia Educativa Instituto de Educaçao-Universidade do MinhoCampus de GualtarBraga 4710-093Portugal Unit of Innovation in Minimally Invasive Surgery University Hospital Virgen del RocioUniversity of SevillaSeville 41013Spain

Objective Although robotic surgery adoption and its indications are growing worldwide,for multiple factors,including costs,there is a lack of training and experience.Our aim was to study the impact of a robotic introduction training program on gesture performance,such as suturing,in robot-naive individuals.Methods Using the DaVinci robot,a 2-hour program was based on virtual reality and anatomical model exercises.All participants performed 3 repetitions of virtual reality exercises on the virtual simulator,and then performed and were assessed on 2 tests,ie robot and laparoscopic training box.After the course,the participants were surveyed for this training program.Results Twenty-seven residents and surgeons were enrolled in the training program.With only 2 hours of training,all of the participants were able to complete the training program,thus learning generic and specific skills in robotic surgery.In virtual reality exercise,the scores of the 3 exercises increased significantly with every repetition(p<0.001)and the size of the increase was large.The completion time on the robot platform was 2.6 times faster(169.33±28.28 s vs.447.96±156.55 s,p<0.001)than that in the laparoscopic box,and the difference between both types of tests was large(pη2=0.797).The centralization and passage of the needle were significantly better on the robot platform(5 vs.3,p<0.001,r=0.47;5 vs.4,p<0.001,r=0.59)than in the laparoscopic box.For the intracorporeal stitch+knot test,every participant was able to perform the exercise on the robot but only 85.2%(23/27)in the laparoscopic box.Twenty-one participants answered the survey,and 13(61.9%)of them considered robotic performance independent of laparoscopic experience.Conclusions Surgeons are interested and seek training in robotic surgery.We implemented the first hands-on robotic surgery training program in Portugal and participants considered it was important and adequate for its purpose.All participants,even without robotic experience,learned quicker,performed better,faster and more pre

关键词： Simulation Education Laparoscopic suture Laparoscopy Robotic surgery

Properties of Collagen/Sodium Alginate Hydrogels for Bioprinting of Skin Models

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Journal of Bionic Engineering 2023年第1期20卷 105-118页

作者： Tian Jiao Qin Lian Weilong Lian Yonghui Wang Dichen Li rui L.Reis Joaquim miguel Oliveira State Key Laboratory for Manufacturing System Engineering Xi’an Jiaotong UniversityXi’an710049China Shaanxi Ketao-AM Technology Co. Ltd.Xi’an710100China B’s Research Group I3Bs—Research Institute on BiomaterialsBiodegradables and BiomimeticsHeadquarters of the European Institute of Excellence on Tissue Engineering and Regenerative MedicineUniversity of MinhoBarco4805-017GuimarãesPortugal ICVS/3B’s–PT Government Associate Laboratory Barco4805-017GuimarãesPortugal

3D printing technology has great potential for the reconstruction of human skin.However,the reconstructed skin has some differences from natural skin,largely because the hydrogel used does not have the appropriate biological and physical properties to allow healing and regeneration.This study examines the swelling,degradability,microstructure and biological properties of Collagen/Sodium Alginate(Col/SA)hydrogels of differing compositions for the purposes of skin printing.Increasing the content of sodium alginate causes the hydrogel to exhibit stronger mechanical and swelling properties,a faster degradation ratio,smaller pore size,and less favorable biological properties.An optimal 1%collagen hydrogel was used to print bi-layer skin in which fibroblasts and keratinocytes showed improved spreading and proliferation as compared to other developed formulations.The Col/SA hydrogels presented suitable tunability and properties to be used as a bioink for bioprinting of skin aiming at finding applications as 3D models for wound healing research.

关键词： Bioink Bioprinting-Collagen sodium alginate hydrogel-Skin Wound healing Bionic

Analysis of the impact of large scale seismic retrofitting strategies through the application of a vulnerability-based approach on traditional masonry buildings

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Earthquake Engineering and Engineering Vibration 2017年第2期16卷 329-348页

作者： Tiago miguel Ferreira rui Maio Romeu Vicente ISISE Department of Civil EngineeringUniversity of MinhoCampus de Azurém RISCO Department of Civil EngineeringUniversity of AveiroCampus Universitário de Santiago

The buildings＇ capacity to maintain minimum structural safety levels during natural disasters, such as earthquakes, is recognisably one of the aspects that most influence urban resilience. Moreover, the public investment in risk mitigation strategies is fimdamental, not only to promote social and urban and resilience, but also to limit consequent material, human and environmental losses. Despite the growing awareness of this issue, there is still a vast number of traditional masonry buildings spread throughout many European old city centres that lacks of adequate seismic resistance, requiring therefore urgent retrofitting interventions in order to both reduce their seismic vulnerability and to cope with the increased seismic requirements of recent code standards. Thus, this paper aims at contributing to mitigate the social and economic impacts of earthquake damage scenarios through the development of vulnerability-based comparative analysis of some of the most popularretrofitting techniques applied after the 1998 Azores earthquake. The influence of each technique individually and globally studied resorting to a seismic vulnerability index methodology integrated into a GIS tool and damage and loss scenarios are constructed and critically discussed. Finally, the economic balance resulting from the implementation of that techniques are also examined.

关键词： urban resilience masonry buildings retrofitting strategies vulnerability-based approach loss estimation

The use of Artificial Neural Networks to estimate seismic damage and derive vulnerability functions for traditional masonry

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Frontiers of Structural and Civil Engineering 2020年第3期14卷 609-622页

作者： Tiago miguel FERREIRA Joao ESTEVAO rui MAIO Romeu VICENTE ISISE Institute of Science and Innovation for Bio-Sustainability(IB-S)Department of Civil EngineeringUniversity of MinhoGuimaraes 4800-058Portugal Department of Civil Engineering University of AlgarveFaro 8005-139Portugal RISCO Department of Civil EngineeringUniversity of AveiroAveiro 3810-193Portugal

ABSTRACT This paper discusses the adoption of Artificial Intelligence-based techniques to estimate seismic damage,not with the goal of replacing existing approaches,but as a mean to improve the precision of empirical methods.For such,damage data collected in the aftermath of the 1998 Azores earthquake(Portugal)is used to develop a comparative analysis between damage grades obtained resorting to a classic damage formulation and an innovative approach based on Artificial Neural Networks(ANNs).The analysis is carried out on the basis of a vulnerability index computed with a hybrid seismic vulnerability asssment methodology,which is subsequently used as input to both approaches.The results obtained are then compared with real post-earthquake damage observation and critically discussed taking into account the level of adjustment achieved by each approach.Finally,a computer routine that uses the ANN as an approximation function is developed and applied to derive a new vulnerability curve expression.In general terms,the ANN developed in this study allowed to obtain much better approximations than those achieved with the original vulnerability approach,which has revealed to be quite non-conservative.Similarly,the proposed vulnerability curve expression was found to provide a more accurate damage prediction than the traditional analytical expressions.

关键词： Artificial Neural Networks seismic vulnerability masonry buildings damage estimation,vulnerability curves

Engineering nanoparticles for targeting rheumatoid arthritis： Past, present, and future trends

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Nano Research 2018年第9期11卷 4489-4506页

作者： Isabel Matos Oliveira Cristiana goncalves rui Lufs Reis Joaquim miguel Oliveira B's Research Group - Biomatefials Biodegradables and Biomimetics Headquarters of the European Institute of Excellence on Tissue Engineering and Regenerative Medicine AvePark 4805-017 Barco Guimaraes Portugal ICVS/3B's-PTGovernment Associate Laboratory University of Minho Campus de Gualtar 4710-057 Braga Portugal The Discoveries Centre for Regenerative and Precision Medicine Headquarters at University of Minho Avepark 4805-017 Barco Guimaraes Portugal

Rheumatoid arthritis （RA） is a chronic inflammatory disease characterized by synovial joint inflammation and cartilage and bone tissue destruction. Although there exist some treatment strategies for RA, they are not completely safe and effective. Therefore, it is important to develop and test new drugs for RA that specifically target inflamed/swollen joints and simultaneously attenuate other possible damages to healthy tissues. Nanotechnology can be a good alternative to consider when envisioning predse medication for treating RA. Through the use of nanopartides, it is possible to increase bioavailability and bioactivity of therapeutics and enable selective targeting to damaged joints. Herein, recent studies using nanoparticles for the treatment of RA, namely with liposomes, polymeric nanoparticles, dendrimers, and metallic nanoparticles, have been reviewed. These therapeutic strategies have shown great promise in improving the treatment over that by traditional drugs. The results of these studies confirm that feasibility of the use of nanopartides is mainly due to their biocompatibility, low toxicity, controlled release, and selective drug delivery to inflamed tissues in animal RA models. Therefore, it is possible to claim that nanotechnology will, in the near future, play a crucial role in advanced treatments and patient-specific therapies for human diseases such as RA.

关键词： nanoparticles liposomes dendrimers rheumatoid arthritis

Current advances in solid free-form techniques for osteochondral tissue engineering

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Bio-Design and Manufacturing 2018年第3期1卷 171-181页

作者： Joao Bebiano Costa Joana Silva-Correia rui Luis Reis Joaquim miguel Oliveira B's Research Group I3Bs - Research Institute onBiomaterials Biodegradables and Biomimetics University ofMinho Headquarters of the European Institute of Excellenceon Tissue Engineering and Regenerative Medicine AveParkParque de Ciencia e Tecnologia Zona Industrial da Gandra4805-017 Barco Guimaraes Portugal ICVS/3B's-PT Government Associate Laboratory Braga Guimarfies Portugal The Discoveries Centre for Regenerative and PrecisionMedicine Headquarters at University of MinhoAvepark 4805-017 Barco Guimaraes Portugal

Osteochondral (OC) lesions are characterized by defects in two different zones, the cartilage region and subchondral bone region. These lesions are frequently associated with mechanical instability, as well as osteoarthritic degenerative changes in the knee. The lack of spontaneous healing and the drawbacks of the current treatments have increased the attention from the scientific community to this issue. Different tissue engineering approaches have been attempted using different polymers and different scaffolds’ processing. However, the current conventional techniques do not allow the full control over scaffold fabrication, and in this type of approaches, the tuning ability is the key to success in tissue regeneration. In this sense, the researchers have placed their efforts in the development of solid free-form (SFF) techniques. These techniques allow tuning different properties at the micro–macro scale, creating scaffolds with appropriate features for OC tissue engineering. In this review, it is discussed the current SFF techniques used in OC tissue engineering and presented their promising results and current challenges.

关键词：软骨病变生物技术生物科学发展现状