Biomedical Optics Express
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2020
·Vol. 11
·期 4
·1977-1990
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IF 3.921
Xinyi Wang,Xinyi Wang,Yulan Wang,Yulan Wang,Zixiao Zhang,Maojia Huang,Yiyan Fei,Jiong Ma,Jiong Ma,Jiong Ma,Jiong Ma,Lan Mi,Lan Mi
This study proposed label-free fluorescence lifetime imaging and phasor analysis methods to discriminate different grades of cervical intraepithelial neoplasia (CIN). The human cervical tissue lesions associated with cellular metabolic abnormalities were detected by the status changes of important coenzymes in cells and tissues, reduced nicotinamide adenine dinucleotide (phosphate) (NAD(P)H) and flavin adenine dinucleotide (FAD). Fluorescence lifetime imaging microscopy (FLIM) was used to study human cervical tissues, human cervical epithelial cells, and standard samples. Phasor analysis was applied to reveal the interrelation between the metabolic changes and cancer development, which can distinguish among different stages of cervical lesions from low risk to high risk. This approach also possessed high sensitivity, especially for healthy sites of CIN3 tissues, and indicated the dominance of the glycolytic pathway over oxidative phosphorylation in high-grade cervical lesions. This highly adaptive, sensitive, and rapid diagnostic tool exhibits a great potential for cervical precancer diagnosis.
研究领域:
医学
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细胞生物学
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DOI
PubMed
高影响因子
PLANT DISEASE
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2021
·
IF 4.438
Ran Du,Yongju Huang,Jing Zhang,Long Yang,Mingde Wu,Guo-qing Li
Blackleg of oilseed rape is a damaging invasive disease caused by the species complex Leptosphaeria maculans (Lm)/ L . biglobosa (Lb), which is composed of at least two and seven phylogenetic subclades, respectively. Generally, Lm is more virulent than Lb, but under certain conditions, Lb can cause a significant yield loss in oilseed rape. Lb ‘brassicae’ (Lbb) has been found to be the causal agent for blackleg of oilseed rape in China, whereas Lm and Lb ‘canadensis’ (Lbc) were frequently detected in imported seeds of oilseed rape, posing a risk of spread into China. To monitor the blackleg-pathogen populations, a diagnostic tool based on loop-mediated isothermal amplification (LAMP) was developed using a 615-bp–long DNA sequence from Lbb that was derived from a randomly amplified polymorphic DNA assay. The LAMP was optimized for temperature and time, and tested for specificity and sensitivity using the DNA extracted from Lbb, Lbc, Lm, and 10 other fungi. The results showed that the optimal temperature and time were 65°C and 40 min, respectively. The LAMP primer set was specific to Lbb and highly sensitive as it detected the Lbb DNA as low as 132 fg per reaction. The LAMP assay was validated using the DNA extracted from mycelia and conidia of a well-characterized Lbb isolate, and its utility was evaluated using the DNA extracted from leaves, stems, pods, and seeds of oilseed rape. The LAMP assay developed herein will help for monitoring populations of the blackleg pathogens in China and in developing strategies for management of the blackleg disease.
研究领域:
植物病理学
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分子生物学
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农业科学
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DOI
PubMed
高影响因子
Cell Reports Medicine
·
2025
·
IF 10.6
Dongjie Zhang,Zhaoyang Cheng,Yali Song,Huandi Li,Lin Shi,Nan Wang,Yingwen Peng,Renan Chen,Nianzheng Sun,Min Han,Fengjiao Hu,Chuntao Zong,Rui Zhang,Si Chen,Conghui Zhu,Xiaoli Zhang,Xiaobo Li,Xiaopeng Ma,Changbei Shi,Xiaofei Zhang,Rui Liu,Ziqi Ren,Lin Wang,Qi Zeng,Tingting Zeng,Xueli Chen
Rapid identification and accurate diagnosis are critical for individuals with acute leukemia (AL). Here, we propose a combined deep learning and surface-enhanced Raman scattering (DL-SERS) classification strategy to achieve rapid and sensitive identification of AL with various subtypes and genetic abnormalities. More than 390 of cerebrospinal fluid (CSF) samples are collected as targets, encompassing healthy control, AL patients, and individuals with other diseases. Sensitive SERS detection could be achieved within 5 min, using only 0.5 μL volume of CSF. Through integrated feature fusion (1D spectra and 2D image) with a transformer model, the classification method is developed to screen and diagnose AL patients, demonstrating exceptional classification performances of accuracy, sensitivity, specificity, or reliability. Also, this approach demonstrates remarkable versatility and could be extended to the classifications of meningitis diseases. The sensitive DL-SERS classification platform has the potential to be a powerful auxiliary in vitro diagnostic tool.
研究领域:
生物医学工程
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肿瘤学
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医学人工智能
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分析化学
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分子诊断
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DOI
PubMed
高影响因子
Advanced Healthcare Materials
·
2025
·
IF 9.6
Xiao Sun,Wanru Tian,Xin Zhao,Xuan Cheng,Yao Li,Qiye Wang,Weichen Li,Peisen Zhang,Mingxia Jiao,Xiliang Luo
Traumatic brain injury (TBI) represents a substantial global health challenge, yet current diagnostic tools, such as CT and MRI, despite providing anatomical detail, have limitations in assessing injury severity, monitoring progression, and guiding personalized treatments. Herein, an aqueous phase-synthesized gallium-doped copper indium selenide quantum dot (QD) probe designed for grading TBI severity is introduced. The doping of gallium ions into the semiconductor core largely restrained the nonradiative recombination rate, thereby significantly enhancing the near-infrared emission of the QDs. Surface modification strategies further improve QD stability and biocompatibility, ensuring high-sensitivity imaging in vivo. In mouse models with varying TBI severities, intravenous administration of Ga-doped QDs, combined with advanced imaging protocols and data analysis, achieved objective grading of injury severity through quantitative analysis of fluorescence signal intensity and distribution, demonstrating a remarkable correlation between QD-derived signals and neuropathological severity. This grading result is further verified by a series of behavioral tests of the corresponding TBI mice. This QD-based imaging strategy offers a sensitive and objective tool for TBI assessment, enabling precise grading and dynamic monitoring, thereby improving clinical decision-making. This innovation complements existing diagnostics and has transformative potential for optimizing TBI management and patient outcomes, especially in resource-limited settings.
研究领域:
生物医学成像
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纳米医学
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神经创伤
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材料科学
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诊断工具
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产品关联
DOI
PubMed
高影响因子
MICROCHIMICA ACTA
·
2022
·Vol. 189
·期 8
·1-10
·
IF 6.408
Zhao Tingting,Yan Weizhen,Dong Fengqi,Hu Xinlong,Xu Yanli,Wang Zhenyu,Shen Yating,Wang Wanrong,Zhao Ye,Wei Wenmei
COVID-19 necessitates the development of reliable and convenient diagnostic tools. In this work, a facile 3D-printed smartphone platform was constructed that achieved reliable visual detection of SARS-CoV-2 by eliminating the effect of ambient light and fixing the camera position relative to the sample. The oligonucleotide probe is modified with orange-red-emitting TAMRA working as an internal standard and green-emitting FAM serving as a sensitive sensing agent. Under 365-nm UV excitation, the emission wavelengths of TAMRA and FAM are 580 nm and 518 nm, respectively. When the probes interact with the targets, the green fluorescence gradually restores while the orange-red fluorescence remains stable. Thus, a striking color transition from orange-red to green could be observed by the naked eye. The detection limit of SARS-CoV-2 nucleic acid is 0.23 nM, and the entire process of color change could be completed in 25 min. Furthermore, the RGB value analysis of the sample solution was conducted using a smartphone for reliable and reproducible discrimination of SARS-CoV-2. The proposed smartphone platform might establish a general method for visual detection of SARS-CoV-2 nucleic acid as well as other virus-related diseases. Graphical abstract
研究领域:
生物医学工程
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分子生物学
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诊断工具
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病毒学
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DOI
PubMed
高影响因子
危险品化学品经营许可证（带存储）