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Synergy and translation of allogenic bone marrow stem cells after photodynamic treatment of rheumatoid arthritis with tetra sulfonatophenyl porphyrin and TiO2 nanowhiskers

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Nano Research 2016年第11期9卷 3305-3321页

作者： fawad u. Rehman Chunqiu Zhao Changyu Wu Xiaoqi Li Hui Jiang Matthias Selke Xuemei Wang State Key Laboratory of Bioelectronics School of Biological Science and Medical Engineering Southeast University Nanjing 210096 China Department of Chemistry and Biochemistry California State University Los Angeles CA 90032 USA Nanjing Foreign Language School Nanjing 210096 China

Rheumatoid arthritis （RA） etiology and amelioration remains a challenge in modern therapeutics. Herein, we explored the synergistic effect of allogenic bone marrow stem cell （BMSC） translation and photodynamic treatment of RA with tetra sulfonatophenyl porphyrin （TSPP） and TiO2 nanocomposites as a new strategy for RA theranostics. The translation of BMSCs with miRNAs into infected joints in long bones post-photodynamic therapy is helpful for treating and understanding RA pathophysiology. We observed that allogenic BMSC translation combined with TSPP-TiO2 nanocomposites can significantly （p 〈 0.01） lower the concentrations of serum biomarkers （tumor necrosis factor-α and interleukin-17） in a collagen induced arthritis （CIA） murine model, both in vitro and in vivo, as well as improve other parameters such as arthritis score, BMSC count, complete blood count, and numbers of platelets, red blood cells, and white blood cells. Moreover, a fluorescent TSPP in the feet or long bones and X-ray bioimaging of RA joints revealed the clinical efficacy of BMSCs combined with TSPP-TiO2 nanocomposites. Microarray data analysis illustrated that rnomir-375-3p and rno-mir-196b-3p were up-regulated by approximately 100-fold in the BMSCs of ameliorated RA post-photodynamic therapy with TSPP-TiO2 nanocomposites. Our study not only suggests a new approach for RA theranostics, but also helps in understanding RA pathophysiology.

关键词： rheumatoid arthritis allogenic bone marrowstem cells (BMSCs) tetra sulfonatophenyl porphyrin (TSPP)-TiO2nanocomposites photodynamic treatment miRNAs

Prediction of the SARS-CoV-2 Derived T-Cell Epitopes’Response Against COVID Variants

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Computers, Materials & Continua 2023年第5期75卷 3517-3535页

作者： Hassam Tahir Muhammad Shahbaz Khan fawad Ahmed Abdullah M.Albarrak Sultan Noman Qasem Jawad Ahmad Department of Electrical Engineering HITEC UniversityTaxila47080Pakistan Department of Cyber Security Pakistan Navy Engineering CollegeNUSTKarachi75350Pakistan Computer Science Department College of Computer and Information SciencesImam Mohammad Ibn Saud Islamic University(IMSIU)Riyadh11432Saudi Arabia School of Computing Edinburgh Napier UniversityEdinburghEH105DTU.K

TheCOVID-19 outbreak began in December 2019 andwas declared a global health emergency by the World Health *** four most dominating variants are Beta,Gamma,Delta,and *** the administration of vaccine doses,an eminent decline in new cases has been *** COVID-19 vaccine induces neutralizing antibodies and T-cells in our ***,strong variants likeDelta and Omicron tend to escape these neutralizing antibodies elicited by COVID-19 ***,it is indispensable to study,analyze and most importantly,predict the response of SARS-CoV-2-derived t-cell epitopes against Covid variants in vaccinated and unvaccinated *** this regard,machine learning can be effectively utilized for predicting the response of COVID-derived t-cell *** this study,prediction of T-cells Epitopes’response was conducted for vaccinated and unvaccinated people for Beta,Gamma,Delta,and Omicron *** dataset was divided into two classes,i.e.,vaccinated and unvaccinated,and the predicted response of T-cell Epitopes was divided into three categories,i.e.,Strong,Impaired,and *** the aforementioned prediction purposes,a self-proposed Bayesian neural network has been designed by combining variational inference and flow normalization ***,the Hidden Markov Model has also been trained on the same dataset to compare the results of the self-proposed Bayesian neural network with this state-of-the-art statistical *** experimentation and results demonstrate the efficacy of the proposed network in terms of accurate prediction and reduced error.

关键词： Omicron COVID-19 hidden Markov model Bayesian neural network

Influence of Macro-Topography on Damage Tolerance and Fracture Toughness of Monolithic Epoxy for Tribological Applications

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World Journal of Engineering and Technology 2016年第2期4卷 335-360页

作者： Rasheed Atif fawad Inam Department of Mechanical and Construction Engineering Faculty of Engineering and Environment Northumbria University Newcastle upon Tyne UK

Influence of topographical features on mechanical properties of monolithic epoxy samples has been studied. The topographical features studied include waviness (Wa), roughness average (Ra), root mean square value (Rq),... 详细信息

Influence of topographical features on mechanical properties of monolithic epoxy samples has been studied. The topographical features studied include waviness (Wub>aub>), roughness average (Rub>aub>), root mean square value (Rub>qub>ub>)ub>, and maximum roughness height (Rub>maxub> or Rub>zub>). The Rz of as-cast monolithic epoxy samples was 13.93 μm. By treating with velvet cloth, the Rub>zub> value significantly decreased to 2.28 μm. The Rub>zub> value of monolithic epoxy sample treated with abrasive paper 1200P was 4.85 μm which was also lower than that of as-cast monolithic epoxy samples. However, Rz values significantly increased by treating with abrasive papers 320P and 60P and became 20.32 μm and 39.32 μm, respectively. It was interesting to note that although Rub>aub>, Wub>aub>, and Rub>qub>, all increased by treating the monolithic epoxy samples with abrasive paper 1200P, however, Rub>zub> decreased by abrasive paper 1200P. A weight loss of up to 17% was observed in monolithic epoxy samples after the treatment with the abrasive papers. Both V-shaped and u-shaped notches were produced on the surfaces of the samples. The mechanical properties were significantly degraded due to surface notches mainly because of the associated stress concentration effect. The topographical features also influenced the dynamic mechanical properties and fracture mode.

关键词： Topography Fracture Toughness Monolithic Epoxy Mechanical Properties Fractography

Rapid and multimodal in vivo bioimaging of cancer cells through in situ biosynthesis of Zn＆Fe nanoclusters

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Nano Research 2017年第8期10卷 2626-2632页

作者： Tianyu Du Chunqiu Zhao fawad ur Rehman Lanmei Lai Xiaoqi Li Yi Sun Shouhua Luo Hui Jiang Matthias Selke Xuemei Wang State Key Laboratory of Bioelectronics (Chien-Shiung Wu Lab) School of Biological Science and Medical Engineering Southeast University Nanjing 210096 China Nanjing Foreign Language School Nanjing 210096 China Laboratory of the signal and image processing School of Biological Science and Medical Engineering Southeast University Nanjing 210096 China Department of Chemistry and Biochemistry California State University Los Angeles CA 90032 USA

Early diagnosis remains highly important for efficient cancer treatment, and hence, there is significant interest in the development of effective imaging strategies. This work reports a new multimodal bioimaging method for accurate and rapid diagnosis of cancer cells by introducing aqueous Fe^2＋ and Zn^2＋ ions into cancer cells （i.e., HeLa, u87, and HepG2 cancer cells）. We found that the biocompatible metal ions Fe^2＋ and Zn^2＋ forced the cancer cells to spontaneously synthesize fluorescent ZnO nanoclusters and magnetic Fe3O4 nanoclusters. These clusters could then be used for multimodal cancer imaging by combining fluorescence imaging with magnetic resonance imaging and computed tomography imaging. Meanwhile, for normal cells （i.e., L02） and tissues, neither fluorescence nor any other obvious difference could be detected between pre- and post-injection. This multimodal bioimaging strategy based on the in situ biosynthesized Zn＆Fe oxide nanoclusters might therefore be useful for early cancer diagnosis and therapy.

关键词： multimodal imaging biosynthesized Zn&Fe oxide nanoclusters cancer diagnosis

Demonstrating Fuel Flexibility in Commercial Operation

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International Journal of Clean Coal and Energy 2012年第2期1卷 27-33页

作者： fawad Khan Francis Lau Synthesis Energy Systems Inc. Houston USA

Synthesis Energy Systems Inc. (SES) enables its customers to advance gasification projects through commercial scale feedstock testing at its commercial scale coal to syngas facility in Zhao Zhuang City (ZZ Plant), Shandong Province, China. These tests help customers affirm individual project economic viability and reduce technology risk. Included in these test campaigns have been one and two-week long continuous operations at varying loads and on widely-varying feedstock such as Chinese Inner Mongolian lignite, Chinese sub-bituminous high ash (and high friable) coal, and Aus- tralian Queensland high ash sub-bituminous coal. Through these campaigns, SES has progressed one project into the detailed engineering and construction phase and one project into the feasibility study phase. SES believes that the abi- lity to perform these commercial scale campaigns without interruption of operation is unique to SES. The ZZ Plant, which sells clean syngas to a neighboring methanol facility, has been in operation since early 2008 on a design coal of high ash middlings (washery wastes) from ROM bituminous coal (30% - 40% wt ash). SES has made significant im-provements to the design, operation, and efficiency of the ZZ Plant and u-GAS technology that is licensed from Gas Technology Institute (GTI). Included in these is the Fines Management System (FMS), which has demonstrated overall carbon conversion of greater than 98%. The ZZ Plant consistently demonstrates fuel flexibility and greater than 98% availability, 98% carbon conversion, and 80% cold gas efficiency.

关键词： Gasification u-GAS Fluid Bed Gasification Low Rank Coal Lignite Biomass

Highly sensitive electrochemical detection of living cells based on diamond microelectrode arrays

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Chinese Chemical Letters 2018年第6期29卷 919-921页

作者： Jun Ruan Wenbo Zhang Hang Zhang Yun Chen fawad ur Rehman Hui Jiang Steffen Strehle Alberto Pasquarelli Xuemei Wang State Key Laboratory of Bioelectronics (Chien-Shiung Wu Laboratory) School of Biological Science and Medical Engineering Southeast University Institute of Electron Devices and Circuits Ulm University

We designed boron-doped nanocrystalline diamond microelectrode arrays（BNCD-MEAs） with 16 channels for the bioanalysis of multicellular samples, which could be readily adapted for a highly sensitive detection of H2 O2[2_TD$IF]released from stimulated cells by ascorbic acid（AA）. Our observations demonstrated that the as-prepared diamond microelectrode arrays could be utilized to distinguish cancer cells from normal cells, and the amperometric study showed the considerable differences in the currents, indicating that the related Hep G2 cancer cells could release more H2 O2 than that of L02 normal cells. This supports the possibility to use diamond-based MEAs for rapid cancer cell detection in future clinic applications.

关键词： BNCD-MEAs 16 Channels Bioanalysis Stimulated cells H2O2 detection