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Ultrasensitive and point-of-care detection of plasma phosphorylated tau in Alzheimer’s disease using colorimetric and surface-enhanced Raman scattering dual-readout lateral flow assay

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Nano Research 2023年第5期16卷 7459-7469页

作者： Liding Zhang Ying Su Xiaohan Liang Kai Cao Qingming Luo Haiming luo Britton Chance Center for Biomedical Photonics Wuhan National Laboratory for OptoelectronicsHuazhong University of Science and Technology(HUST)Wuhan 430074China MoE Key Laboratory for Biomedical Photonics School of Engineering SciencesHuazhong University of Science and TechnologyWuhan 430074China Department of Neurology Union HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430074China Key Laboratory of Biomedical Engineering of Hainan Province School of Biomedical EngineeringHainan UniversityHaikou 570228China Research Unit of Multimodal Cross Scale Neural Signal Detection and Imaging Chinese Academy of Medical SciencesHUST-Suzhou Institute for BrainsmaticsJiangsu Industrial Technology Research Institute(JITRI)Suzhou 215123China

Phosphorylation of tau at Ser(396,404)(p-tau^(396,404))is one of the earliest phosphorylation events,plasma p-tau^(396,404) level appears to be a potentially promising biomarker of Alzheimer’s disease(AD).The low abundance and easy degradation of p-tau in the plasma make the lateral flow assay(LFA)a suitable choice for point-of-care detection of plasma p-tau^(396,404) levels.Herein,based on our screening of a pair of p-tau^(396,404)-specific antibodies,we developed a colorimetric and surface-enhanced Raman scattering(SERS)dual-readout LFA for the rapid,highly sensitive,robust detection of plasma p-tau^(396,404) levels.This LFA realized a detection limit of 60 pg/mL by the naked eye or 3.8 pg/mL by SERS without cross-reacting with other tau species.More importantly,LFA rapidly and accurately differentiated AD patients from healthy controls,suggesting that it has the potential for clinical point-of-care application in AD diagnosis.This dual-readout LFA has the advantages of simple operation,rapid,ultra-sensitive detection,providing a new way for early AD diagnosis and intervention,especially in primary and community AD screening.

关键词： Alzheimer’s disease p-tau^(396,404) plasma detection surface-enhanced Raman scattering lateral flow assay

Constructing the rodent stereotaxic brain atlas:a survey

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Science China(Life Sciences) 2022年第1期65卷 93-106页

作者： Zhao Feng Anan Li Hui Gong Qingming Luo Britton Chance Center for Biomedical Photonics Wuhan National Laboratory for OptoelectronicsMOE Key Laboratory for Biomedical PhotonicsHuazhong University of Science and TechnologyWuhan 430074China HUST-Suzhou Institute for Brainsmatics Suzhou 215123China School of Biomedical Engineering Hainan UniversityHaikou 570228China

The stereotaxic brain atlas is a fundamental reference tool commonly used in the field of neuroscience.Here we provide a brief history of brain atlas development and clarify three key conceptual elements of stereotaxic brain atlasing:brain image,atlas,and stereotaxis.We also refine four technical indices for evaluating the construction of atlases:the quality of staining and labeling,the granularity of delineation,spatial resolution,and the precision of spatial location and orientation.Additionally,we discuss state-of-the-art technologies and their trends in the fields of image acquisition,stereotaxic coordinate construction,image processing,anatomical structure recognition,and publishing:the procedures of brain atlas illustration.We believe that the use of single-cell resolution and micron-level location precision will become a future trend in the study of the stereotaxic brain atlas,which will greatly benefit the development of neuroscience.

关键词： brain atlas stereotaxic cytoarchitecture brainsmatics

Challenges of Processing and Analyzing Big Data in Mesoscopic Whole-brain Imaging

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Genomics, Proteomics & Bioinformatics 2019年第4期17卷 337-343页

作者： Anan Li Yue Guan Hui Gong Qingming Luo Britton Chance Center for Biomedical Photonics Wuhan National Laboratory for OptoelectronicsHuazhong University of Science and TechnologyWuhan 430074China MOE Key Laboratory for Biomedical Photonics School of Engineering SciencesHuazhong University of Science and TechnologyWuhan 430074China HUST-Suzhou Institute for Brainsmatics JITRI Institute for BrainsmaticsSuzhou 215125China

The brain is recognized as the most complex organ on earth.The complex neuronal network in the human brain consists of approximately 86 billion neurons and more than one hundred trillion connections[1].Even the mouse brain,which is commonly used as a model in neuroscience studies,contains more than 71 million neurons.Despite the great efforts made by the neuroscientists,our knowledge about the brain is still limited and studies on small model animals have only provided preliminary results[2–4].To improve the situation,brainsmatics studies try to accelerate neuroscience research by providing a standard whole-brain spatial coordinate system and standardized labeling tools,imaging the brain,as well as discovering new neuronal cell types,neuronal circuits,and brain vascular structures.

关键词： Whole spite coordinate

Deep learning-based large-scale named entity recognition for anatomical region of mammalian brain

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Quantitative Biology 2022年第3期10卷 253-263页

作者： Xiaokang Chai Yachao Di Zhao Feng Yue Guan Guoqing Zhang Anan Li Qingming Luo Britton Chance Center for Biomedical Photonics Wuhan National Laboratory for OptoelectronicsMoE Key Laboratory for Biomedical PhotonicsHuazhong University of Science and TechnologyWuhan 430074China Key Laboratory of Biomedical Engineering of Hainan Province School of Biomedical EngineeringHainan UniversityHaikou 570228China CAS Key Laboratory of Computational Biology Bio-Med Big Data CenterShanghai Institute of Nutrition and HealthUniversity of Chinese Academy of SciencesShanghai 200031China Research Unit of Multimodal Cross Scale Neural Signal Detection and Imaging Chinese Academy of Medical SciencesHUST-Suzhou Institute for BrainsmaticsJITRISuzhou 215123China CAS Center for Excellence in Brain Science and Intelligence Technology Chinese Academy of SciencesShanghai 200031China

Background:Images of anatomical regions and neuron type distribution,as well as their related literature are valuable assets for neuroscience research.They are vital evidence and vehicles in discovering new phenomena and knowledge refinement through image and text big data.The knowledge acquired from image data generally echoes with the literature accumulated over the years.The knowledge within the literature can provide a comprehensive context for a deeper understanding of the image data.However,it is quite a challenge to manually identify the related literature and summarize the neuroscience knowledge in the large-scale corpus.Thus,neuroscientists are in dire need of an automated method to extract neuroscience knowledge from large-scale literature.Methods:A proposed deep learning model named BioBERT-CRF extracts brain region entities from the WhiteText dataset.This model takes advantage of BioBERT and CRF to predict entity labels while training.Results:The proposed deep learning model demonstrated comparable performance against or even outperforms the previous models on the WhiteText dataset.The BioBERT-CRF model has achieved the best average precision,recall,and F1 score of 81.3%,84.0%,and 82.6%,respectively.We used the BioBERT-CRF model to predict brain region entities in a large-scale PubMed abstract dataset and used a rule-based method to normalize all brain region entities to three neuroscience dictionaries.Conclusions:Our work shows that the BioBERT-CRF model can be well-suited for brain region entity extraction.The rankings of different brain region entities by their appearance in the large-scale corpus indicate the anatomical regions that researchers are most concerned about.

关键词： brain region entity extraction literature mining WhiteText deep learning

Introduction to the special issue on celebrating the 15th anniversary of JIOHS and the 70th anniversary of HUST

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Journal of Innovative Optical Health Sciences 2023年第1期16卷 1-4页

作者： Qingming Luo Valery V.Tuchin Lihong Wang Hainan University P.R.China Wuhan NationalLabforOptoelectronics HUSTP.R.China Institute of Precision Mechanics and Control FRC SSC RASRussia A.N.Bach Institute of Biochemistry FRC Fundamentals of Biotechnology RAS Russia California Institute of Technology USA

Since launching in 2008,Journal of Innovative Optical Health Sciences(JIOHS)has been published for 15 years umtil 2022.Supported by the founding advisor Prof.Britton Chance and other founding Editorial Members,JIOHS was quickly embraced by the biomedical optics community,especially in Asia.Authors submitted some of their high quality papers to JIOHS,which led to a constant Impact Factor(IF)increase frcom the first IF 0.632 to IF 2396(Journal Citation Report 2021).

关键词： founding optics OHS

Whole-Brain Direct Inputs to and Axonal Projections from Excitatory and Inhibitory Neurons in the Mouse Primary Auditory Area

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Neuroscience Bulletin 2022年第6期38卷 576-590页

作者： Mengting Zhao Miao Ren Tao Jiang Xueyan Jia Xiaojun Wang Anan Li Xiangning Li Qingming Luo Hui Gong Briton Chance Center for Biomedical Photonics Wuhan National Laboratory for OptoelectronicsMoE Key Laboratory for Biomedical PhotonicsHuazhong University of Science and TechnologyWuhan 430074China Key Laboratory of Biomedical Engineering of Hainan Province School of Biomedical EngineeringHainan UniversityHaikou 570228China HUST-Suzhou Institute for Brainsmatics JITRISuzhou 215123China

Neurons in the primary auditory area(AUDp)innervate multiple brain regions with long-range projections while receiving informative inputs for diverse functions.However,the brain-wide connections of these neurons have not been comprehensively investigated.Here,we simultaneously applied virus-based anterograde and retrograde tracing,labeled the connections of excitatory and inhibitory neurons in the mouse AUDp,and acquired whole-brain information using a dual-channel fuorescence micro-optical sectioning tomography system.Quantified results showed that the two types of neurons received inputs with similar patterns but sent heterogeneous projections to downstream regions.In the isocortex,functionally different areas consistently sent feedback-dominated projections to these neurons,with concomitant laterallydominated projections from the sensory and limbic cortices to inhibitory neurons.In subcortical regions,the dorsal and medial parts of the non-lemniscal auditory thalamus(AT)were reciprocally connected to the AUDp,while the ventral part contained the most fibers of passage from the excitatory neurons and barely sent projections back,indicating the regional heterogeneity of the AUDp-AT circuit.Our results reveal details of the whole-brain network and provide new insights for further physiological and functional studies of the AUDp.

关键词： Primary auditory area Excitatory Inhibitory Direct inputs Axonal projections

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FROM THE EDITOR

Journal of Innovative Optical Health Sciences 2008年第1期1卷 I0001-I0002页

作者： Qingming Luo 不详

Welcome to the inaugural issue of the Journal of Innovative Optical Health Sciences.In the past decades,we have witnessed how the combination of photonics and health sciences has benefited and touched our lives.Through products and techniques such as spectroscopy,lasers,microscopy,imaging and fiber optics,the science of biomedical photonics has shown great potential in solving clinical and research problems in diverse applications.Under this consideration,the JIOHS has been founded to serve as an international forum for the publication of the latest developments in all areas of biomedical photonics.

关键词： fiber EDIT optics

GRAPHICS PROCESSING UNIT CLUSTER ACCELERATED MONTE CARLO SIMULATION OF PHOTON TRANSPORT IN MULTI-LAYERED TISSUES

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Journal of Innovative Optical Health Sciences 2012年第2期5卷 1-9页

作者： CHAO JIANG HENG HE PENGCHENG LI Qingming Luo Britton Chance Center for Biomedical Photonics Wuhan National Laboratory for Optoelectronics Huazhong University of Science and Technology Wuhan 430074 China Key Laboratory of Biomedical Photonics of Ministry of Education Huazhong University of Science and Technology Wuhan 430074 China

We present a graphics processing unit(GPU)cluster-based Monte Carlo simulation of photon transport in multi-layered tissues.The cluster is composed of multiple computing nodes in a local area network where each node is a personal computer equipped with one or several GPU(s)for parallel computing.In this study,the MPI(Message Passing Interface),the OpenMP(Open Multi-Processing)and the CUDA(Compute Unified Device Architecture)technologies are employed to develop the program.It is demonstrated that this designing runs roughly N times faster than that using single GPU when the GPUs within the cluster are of the same type,where N is the total number of the GPUs within the cluster.

关键词： Photon transport in tissues Monte Carlo simulation GPU cluster

Metastatic status of sentinel lymph nodes in breast cancer determined with photoacoustic microscopy via dual-targeting nanoparticles

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Light(Science & Applications) 2020年第1期9卷 450-465页

作者： Yanfeng Dai Xiang Yu Jianshuang Wei Fanxin Zeng Yiran Li Xiaoquan Yang Qingming Luo Zhihong Zhang Britton Chance Center and MOE Key Laboratory for Biomedical Photonics School of Engineering SciencesWuhan National Laboratory for Optoelectronics–Huazhong University of Science and TechnologyWuhanHubei 430074China School of Biomedical Engineering Hainan UniversityHaikouHainan 570228China

Detection of sentinel lymph nodes(SLNs)is critical to guide the treatment of breast cancer.However,distinguishing metastatic SLNs from normal and inflamed lymph nodes(LNs)during surgical resection remains a challenge.Here,we report a CD44 and scavenger receptor class B1 dual-targeting hyaluronic acid nanoparticle(5K-HA-HPPS)loaded with the near-infra-red fluorescent dye DiR-BOA for SLN imaging in breast cancer.The small sized(~40 nm)self-assembled 5K-HA-HPPSs accumulated rapidly in the SLNs after intradermal injection.Compared with normal popliteal LNs(N-LN),there were ~3.2-fold and ~2.4-fold increases in fluorescence intensity in tumour metastatic SLNs(T-MLN)and inflamed LNs(Inf-LN),respectively,6 h after nanoparticle inoculation.More importantly,photoacoustic microscopy(PAM)of 5KHA-HPPS showed a significantly distinct distribution in T-MLN compared with N-LN and Inf-LN.Signals were mainly distributed at the centre of T-MLN but at the periphery of N-LN and Inf-LN.The ratio of PA intensity(R)at the centre of the LNs compared with that at the periphery was 5.93±0.75 for T-MLNs of the 5K-HA-HPPS group,which was much higher than that for the Inf-LNs(R=0.2±0.07)and N-LNs(R=0.45±0.09).These results suggest that 5K-HA-HPPS injection combined with PAM provides a powerful tool for distinguishing metastatic SLNs from pLNs and inflamed LNs,thus guiding the removal of SLNs during breast cancer surgery.

关键词： breast injection cancer