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| 1 | High salt diet accelerates the progression of murine lupus through dendritic cells via the p38 MAPK and STAT1 signaling pathways显示文摘The increased incidence of systemic lupus erythematosus(SLE)in recent decades might be related to changes in modern dietary habits.Since sodium chloride(NaCl)promotes pathogenic T cell responses,we hypothesize that excessive salt intake contributes to the increased incidence of autoimmune diseases,including SLE.Given the importance of dendritic cells(DCs)in the pathogenesis of SLE,we explored the influence of an excessive sodium chloride diet on DCs in a murine SLE model.We used an induced lupus model in which bone marrow-derived dendritic cells(BMDCs)were incubated with activated lymphocyte-derived DNA(ALD-DNA)and transferred into C57BL/6 recipient mice.We observed that a high-salt diet(HSD)markedly exacerbated lupus progression,which was accompanied by increased DC activation.NaCl treatment also stimulated the maturation,activation and antigenpresenting ability of DCs in vitro.Pretreatment of BMDCs with NaCl also exacerbated BMDC-ALD-DNA-induced lupus.These mice had increased production of autoantibodies and proinflammatory cytokines,more pronounced splenomegaly and lymphadenopathy,and enhanced pathological renal lesions.The p38 MAPK–STAT1 pathway played an important role in NaClinduced DC immune activities.Taken together,our results demonstrate that HSD intake promotes immune activation of DCs through the p38 MAPK–STAT1 signaling pathway and exacerbates the features of SLE.Thus,changes in diet may provide a novel strategy for the prevention or amelioration of lupus or other autoimmune diseases. | Ze Xiu Xiao Xiaojiang Hu Ximei Zhang Zhigang Chen Julie Wang Ke Jin Feng Lin Cao Baoqing Sun Joseph A.Bellanti Nancy Olsen Song Guo Zheng | 2020 | Signal Transduction and Targeted Therapy2020，5，1： | 6 |
| 2 | All VN-graphene architecture derived self-powered wearable sensors for ultrasensitive health monitoring显示文摘The booming of wearable electronics has nourished the progress on developing multifunctional energy storage systems with versatile flexibility, which enable the continuous and steady power supply even under various deformed states. In this sense, the synergy of flexible energy and electronic devices to construct integrative wearable microsystems is meaningful but remains quite challenging by far. Herein, we devise an innovative supercapacitor/sensor integrative wearable device that is based upon our designed vanadium nitride-graphene (VN-G) architectures. Flexible quasi-solid-state VN-G supercapacitor with ultralight and binder-free features deliver a specific capacitance of^53 F·g^-1 with good cycle stability. On the other hand, VN-G derived pressure sensors fabricated throughout a spray-printing process also manifest favorably high sensitivity (40 kPa^-1 at the range of 2-10 kPa), fast response time (~130 ms), perfect skin conformability, and outstanding stability under static and dynamic pressure conditions. In tum, their complementary unity into a self-powered wearable sensor enables the precise detecti on of physiological motions ranging from pulse rate to phonetic recognition, holding promise for in-practical health monitoring applications. | Lianghao Yu Yuyang Yi Ting Yao Yingze Song Yiran Chen Qiucheng Li Zhou Xia Nan Wei Zhengnan Tian Baoqing Nie Li Zhang Zhongfan Liu Jingyu Sun | 2019 | Nano Research2019，12，2： | 4 |
| 3 | Immune responses of a designed HIV-1 DNA vaccine on rhesus monkeys显示文摘An effective HIV-1 vaccine will be the ultimate solution for the prevention of HIV/AIDS, though HAART plays important roles in treating the disease. In this study, a large-scale recombinant DNA plasmid containing a designed HIV-1 multi-epitope- p24 chimeric gene was prepared and purified. Rhesus monkeys were then inoculated muscularly with the plasmid for four times in week 0, 4, 8 and 18. Whole blood was collected two weeks after the third and fourth inoculation, followed by serum and pe- ripheral blood mononuclear cell (PBMC) separation. The CTL activity and proliferation of PBMCs stimu- lated by macaque MHC-I-restricted HIV-1 CTL epi- tope peptide were analyzed by MTT and LDH release assay, respectively. Th1 cytokines in supernatant of cultured PBMC stimulated by HIV-1 CTL epitope peptide and anti-HIV-1 antibody in serum were as- sayed by ELISA. The results showed that increased CTL target-killing activity, higher secretion of Th1 cytokines (IFN-γ and IL-2) and promoted proliferative reaction of monkey PBMCs stimulated by HIV-1 CTL epitope peptide were detected in the immunization group inoculated by the recombinant DNA vaccine for three times, which were further enhanced by the fourth inoculation. At the same time, HIV-1 specific antibody in serum of immunized monkeys was higher than that in controls. We concluded that the designedHIV-1 DNA vaccine may induce HIV-1 specific cellular and humoral immunity on monkeys. | ZHANG Lishu JIN Ningyi SONG Yingjin SUN Yansong WANG Hong ZHAN Dawei MA Hewen SHANG Yupu JIN Hongtao HONG Baoqing LI Chang | 2006 | Chinese Science Bulletin2006，51，13： | 3 |
| 4 | 2,000,000 fps 2D and 3D imaging of periodic or reproducible scenes with single-pixel detectors显示文摘Single-pixel imaging(SPI)can capture 2D images of the target with only a nonpixelated detector,showing promising application potential in nonvisible spectral imaging,low-photon imaging,lidar,and other extreme imaging fields.However,the imaging mechanism of traditional SPI makes it difficult to achieve high imaging speed,which is a primary barrier for its widespread application.To address this issue,in this work,we propose and demonstrate a novel high-speed 2D and 3D imaging scheme based on traditional SPI,termed time-resolved single-pixel imaging(TRSPI).Previous SPI works mainly utilize correlation between a stable target and iterative illumination masks to reconstruct a single image.In TRSPI,by further exploiting correlation information between a dynamic scene and every static mask,we can reconstruct a series of time-varying images of the dynamic scene,given the dynamic scene is repetitive or reproducible.Experimentally,we conducted 2D and 3D imaging on a rotating chopper with a speed of 4800 revolutions per minute(rpm),and imaging speeds up to 2,000,000 fps.It is believed that this technology not only opens up a novel application direction for SPI,but also will provide a powerful solution for high-speed imaging. | WENJIE JIANG YONGKAI YIN JUNPENG JIAO XIAN ZHAO BAOQING SUN | 2022 | Photonics Research2022，10，9： | 2 |
| 5 | Normalized ghost imaging 显示文摘 | Sun Baoqing Stephen S Welsh Matthew P Edgar | 2012 | Opt Express2012，20，16： | 1 |
| 6 | The variation of structural characteristics of macerals during pyrolysis显示文摘 | Sun Qinglei Li Wen Chen Haokan Li Baoqing | 2003 | Fuel2003，82，6： | 1 |
| 7 | A bioinformatic evaluation of potential allergenicity of 85 candidate genes in transgenic organisms显示文摘The potential of genetically modified organisms(GMOs) to increase allergenicity or predispositions to allergies has attracted much attention.An approach that will properly and holistically evaluate the allergenicity of GMOs is yet to be found.Here,85 transgenes that have been reported in both international and domestic studies during recent years are summarized case by case;49 of the transformed genes were from plant sources and 36 were from animal sources.EVALLERTM,a web server for the in silico assessment of potential protein allergenicity,was used to evaluate the potential of the transgenic proteins as allergens.The biomedical journals listed in Highwire(http://gffzzd58bc32f34884012h0bkwp0cow5056bv5.ffgz.tsg.suse.edu.cn/) were searched and reviewed to decipher whether any of the transformed genes were linked to allergenicity or human health.The EVALLER analysis identified 5 allergenic genes,whilst our literature review found 11 genes that were either related to allergic cases or to clinical adverse events;all 16 of these genes have been used in GMOs.The analysis pathway that we have developed can help guide the selection of genes to be used in genetic modification.The pathway also provides a paradigm for allergenicity analysis of transgene candidates. | ZOU ZeHong HE Ying RUAN Lin SUN BaoQing CHEN HuiFang CHEN De LIU ShiMing YANG XiaoGuang TAO AiLin | 2012 | Chinese Science Bulletin2012，57，15： | 1 |
| 8 | The synergistic effect between macerals during pyrolysis显示文摘 | Li Wen Li Baoqing | 2002 | Fuel2002，81，7： | 1 |
| 9 | Deep learning model improves radiologists'performance in detection and classification of breast lesions显示文摘Objective:Computer-aided diagnosis using deep learning algorithms has been initially applied in the field of mammography,but there is no large-scale clinical application.Methods:This study proposed to develop and verify an artificial intelligence model based on mammography.Firstly,mammograms retrospectively collected from six centers were randomized to a training dataset and a validation dataset for establishing the model.Secondly,the model was tested by comparing 12 radiologists’performance with and without it.Finally,prospectively enrolled women with mammograms from six centers were diagnosed by radiologists with the model.The detection and diagnostic capabilities were evaluated using the freeresponse receiver operating characteristic(FROC)curve and ROC curve.Results:The sensitivity of model for detecting lesions after matching was 0.908 for false positive rate of 0.25 in unilateral images.The area under ROC curve(AUC)to distinguish the benign lesions from malignant lesions was0.855[95%confidence interval(95%CI):0.830,0.880].The performance of 12 radiologists with the model was higher than that of radiologists alone(AUC:0.852 vs.0.805,P=0.005).The mean reading time of with the model was shorter than that of reading alone(80.18 s vs.62.28 s,P=0.032).In prospective application,the sensitivity of detection reached 0.887 at false positive rate of 0.25;the AUC of radiologists with the model was 0.983(95%CI:0.978,0.988),with sensitivity,specificity,positive predictive value(PPV),and negative predictive value(NPV)of94.36%,98.07%,87.76%,and 99.09%,respectively.Conclusions:The artificial intelligence model exhibits high accuracy for detecting and diagnosing breast lesions,improves diagnostic accuracy and saves time. | Yingshi Sun Yuhong Qu Dong Wang Yi Li Lin Ye Jingbo Du Bing Xu Baoqing Li Xiaoting Li Kexin Zhang Yanjie Shi Ruijia Sun Yichuan Wang Rong Long Dengbo Chen Haijiao Li Liwei Wang Min Cao | 2021 | Chinese Journal of Cancer Research2021，33，6： | 1 |
| 10 | Evolution of the newest diagnostic methods for COVID-19:a Chinese perspective显示文摘Coronavirus disease 2019(COVID-19)has continued to spread globally since late 2019,representing a formidable challenge to the world's healthcare systems,wreaking havoc,and spreading rapidly through human contact.With fever,fatigue,and a persistent dry cough being the hallmark symptoms,this disease threatened to destabilize the delicate balance of our global community.Rapid and accurate diagnosis of COVID-19 is a prerequisite for understanding the number of confirmed cases in the world or a region,and an important factor in epidemic assessment and the development of control measures.It also plays a crucial role in ensuring that patients receive the appropriate medical treatment,leading to optimal patient care.Reverse transcription-polymerase chain reaction(RT-PCR)technology is currently the most mature method for detecting viral nucleic acids,but it has many drawbacks.Meanwhile,a variety of COVID-19 detection methods,including molecular biological diagnostic,immunodiagnostic,imaging,and artificial intelligence methods have been developed and applied in clinical practice to meet diverse scenarios and needs.These methods can help clinicians diagnose and treat COVID-19 patients.This review describes the variety of such methods used in China,providing an important reference in the field of the clinical diagnosis of COVID-19. | Mingtao LIU Jiali LYU Xianhui ZHENG Zhiman LIANG Baoying LEI Huihuang CHEN Yiyin MAI Huimin HUANG Baoqing SUN | 2023 | Journal of Zhejiang University-Science B(Biomedicine & Biotechnology)2023，24，6： | 0 |
| 11 | Trajectory prediction in pipeline form for intercepting hypersonic gliding vehicles based on LSTM显示文摘The interception problem of Hypersonic Gliding Vehicles(HGVs)has been an important aspect of missile defense systems.In order to provide interceptors with accurate information of target trajectory,a model based on an improved Long Short-Time Memory(LSTM)network for trajectory prediction pipeline is proposed for the interception of a skip gliding hypersonic target.Firstly,for trajectory prediction required by intercepting guidance laws,the altitude,velocity and velocity direction of the target are formulated in the form of analytic functions,consisting of linear decay terms and amplitude decay sinusoidal terms.Then,the dynamic characteristics of the model parameters are analyzed,and the target trajectory prediction pipeline is proposed with the prediction error considered.Finally,an improved LSTM network is designed to estimate parameters in a dynamically-updated manner,and estimation results are used for the calculation of the final trajectory prediction pipeline.The proposed prediction algorithm provides information on the velocity vector for midcourse guidance with the effect of prediction errors on interception taken into account.Simulation is conducted and the results show the high accuracy of the algorithm in HGVs’trajectory prediction which is conducive to increasing the interception success rate. | Lihan SUN Baoqing YANG Jie MA | 2023 | Chinese Journal of Aeronautics2023，36，5： | 0 |
| 12 | A prospective cohort study of the presence of SARS-CoV-2 in clinical samples from multiple bodily sites:implications for transmission routes of COVID-19显示文摘Objective: The coronavirus disease 2019 (COVID-19) epidemic resulting from severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has still spread globally. The occurrence of the Delta variant, which is more infectious and spreads faster than earlier forms of the virus that causes COVID-19, makes infection prevention more challenging. Therefore, this study aimed to gain a comprehensive insight into the transmission routes of SARS-CoV-2 for curbing the propagation of SARS-CoV-2 in human populations.Methods: We studied a prospective cohort of 576 patients admitted consecutively to the First Affiliated Hospital of Guangzhou Medical University from January 21 to June 8, 2020. These patients were chosen based on their similar clinical phenotypes or imaging findings. There were 21 (3.6%) laboratory-confirmed COVID-19 patients (16 severe and 5 mild cases) and 555 non-COVID-19 patients. The antibody response and routes and duration of viral shedding were systematically evaluated in serial clinical specimens. Moreover, SARS-CoV-2 RNA was also detected in a mouth rinse, urine, and tear samples. This study was approved by the Medical Ethical Committee of The First Affiliated Hospital of Guangzhou Medical University (approval No. 2020-77).Results: SARS-CoV-2 mainly existed in sputum, nasal and throat swabs, and feces samples. Virus latency was longer in sputum and feces samples than in nasopharyngeal samples. IgG antibody response in respiratory samples was related to disease severity. Although droplets and aerosols are the major transmission routes for COVID-19, covert routes of transmission from asymptomatic patients, contaminated surfaces, and wastewater are also of interest.Conclusion: Our findings provide a solid foundation for developing prophylactic measures against SARS-CoV-2. | Meixian Liu Huimin Huang Xiqing Bian Zhiyuan Zheng Na Li Baoqing Sun Jian-Lin Wu | 2022 | Journal of Bio-X Research2022，5，1： | 0 |
| 13 | Scalable synthesis of lipid nanoparticles for nucleic acid drug delivery using an isometric channel-size enlarging strategy显示文摘Lipid nanoparticles(LNPs)have emerged as highly effective delivery systems for nucleic acid-based therapeutics.However,the broad clinical translation of LNP-based drugs is hampered by the lack of robust and scalable synthesis techniques that can consistently produce formulations from early development to clinical application.In this work,we proposed a method to achieve scalable synthesis of LNPs by scaling inertial microfluidic mixers isometrically in three dimensions.Moreover,a theoretical predictive method,which controls the mixing time to be equal across different chips,is developed to ensure consistent particle size and size distribution of the synthesized LNPs.LNPs loaded with small interfering RNA(siRNA)were synthesized at different flow rates,exhibiting consistent physical properties,including particle size,size distribution and encapsulation efficiency.This work provides a practical approach for scalable synthesis of LNPs consistently,offering the potential to accelerate the transition of nucleic acid drug development into clinical application. | Zesen Ma Haiyang Tong Sijin Lin Li Zhou Demeng Sun Baoqing Li Changlin Tian Jiaru Chu | 2024 | Nano Research2024，17，4： | 0 |
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