1.Dynamic changes of the concentration of nitric oxide in ischemic myocardium and its mechanism
Weikang WU ; Shiyun YANG ; Xiaoai LIU
Chinese Journal of Pathophysiology 2000;0(10):-
AIM: The study was undertaken to explore the dynamic changes of the concentration of nitric oxide(NO) in ischemic myocardium and its mechanism.METHODS: In vivo myocardial ischemia of mice and in vitro perfused isolated heart of rat were used in the experiment. The effects of severity and time of ischemia on NO production, NOS activity and mRNA were examined, respectively. RESULTS: There was a considerable difference (P
2.18F-Berberine Derivatives: a Potential Molecular Imaging Agent for Tumor Targeting by PET/CT Tumor.
Xiaoli MEI ; Xiaoai WU ; Tong ZHANG ; Meng LIANG ; Chengzhong FAN
Journal of Biomedical Engineering 2015;32(2):460-464
Cancer is one of the main causes of death for human beings. Clinical oncologists increasingly rely upon imaging for diagnosis, stage, response assessment, and follow-up in cancer patient. However, 18F-FDG is not a tumor specific agent, inflammation and infection also have intensive uptake of 18F-FDG, resulting in false positive diagnosis, and some tumors have low uptake of 18F-FDG or even do not uptake 18F-FDG, leading to false negative diagnosis. So it is urgent to develop non-18F-FDG novel tumor targeting agent. Recently, a large number of researches in vitro have demonstrated that berberine has anti-tumor activity against a variety of tumor cells by inducing tumor cell apoptosis through inhibition of mitochondrial respiratory chain etc. So far, there is no credible evidence of berberine targeting in tumor in vivo. We proposed a hypothesis that berberine has the characteristics of tumor targeting biodistribution in vivo, and verified the proposal by 18F-berberine PET/CT imaging in VX2 muscle tumor-bearing rabbit model. In this review, we intend to give an overview of the progress of berberine anticancer, the structural bases of berberine anticancer and the uderlying molecular mechanisms of berberine anticancer indentified so far. We also introduce the first visualization of 18F labeled berberine derivatives targeting tumor in VX2 muscle tumor-bearing rabbit model by PET/CT. These breakthrough findings suggest that 18F-berberine derivatives as a potential PET/CT tumor targeted molecular imaging agent may have important implications for cancer targeting therapy, molecular imaging and modernization of Traditional Chinese Medicine.
Berberine
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chemistry
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Fluorodeoxyglucose F18
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chemistry
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Humans
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Molecular Imaging
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Neoplasms
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diagnosis
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Positron-Emission Tomography
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Tissue Distribution
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Tomography, X-Ray Computed
3.Cotransfecting norepinephrine transporter and vesicular monoamine transporter 2 genes for increased retention of metaiodobenzylguanidine labeled with iodine 131 in malignant hepatocarcinoma cells
Zhao YANLIN ; Zhong XIAO ; Ou XIAOHONG ; Cai HUAWEI ; Wu XIAOAI ; Huang RUI
Frontiers of Medicine 2017;11(1):120-128
Norepinephrine transporter (NET) transfection leads to significant uptake of iodine-131-1abeled metaiodobenzylguanidine (131I-MIBG) in non-neuroendocrine tumors.However,the use of 131I-MIBG is limited by its short retention time in target cells.To prolong the retention of 131I-MIBG in target cells,we infected hepatocarcinoma (HepG2) cells with Lentivirus-encoding human NET and vesicular monoamine transporter 2 (VMAT2) genes to obtain NET-expressing,NET-VMAT2-coexpressing,and negative-control cell lines.We evaluated the uptake and efflux of 131I-MIBG both in vitro and in vivo in mice bearing transfected tumors.NET-expressing and NET-VMAT2-coexpressing cells respectively showed 2.24 and 2.22 times higher 131I-MIBG uptake than controls.Two hours after removal of 131I-MIBG-containing medium,25.4% efflux was observed in NET-VMAT2-coexpressing cells and 38.6% in NET-expressing cells.In vivo experiments were performed in nude mice bearing transfected tumors;results revealed that NET-VMAT2-coexpressing tumors had longer 131I-MIBG retention time than NET-expressing tumors.Meanwhile,NET-VMAT2-coexpressing and NET-expressing tumors displayed 0.54% and 0.19%,respectively,of the injected dose per gram of tissue 24 h after 131I-MIBG administration.Cotransfection of HepG2 cells with NET and VMAT2 resulted in increased 131I-MIBG uptake and retention.However,the degree of increase was insufficient to be therapeutically effective in target cells.
4.Impacts of antiretroviral treatment on drug use and high risk sexual behaviors among HIV-positive MMT clients.
Xiaoai QIAN ; Xiaobin CAO ; Yan ZHAO ; Changhe WANG ; Wei LUO ; Keming ROU ; Bo ZHANG ; Xiangdong MIN ; Song DUAN ; Renhai TANG ; Zunyou WU
Chinese Journal of Preventive Medicine 2015;49(6):506-512
OBJECTIVETo explore the impacts of antiretroviral treatment on drug use and high risk sexual behaviors among HIV-positive MMT clients.
METHODSA cross-sectional study was conducted in patients undergoing ART (ART-experienced) and patients not undergoing ART (ART-naive) attending MMT in 5 clinics in Yunnan Honghe and Dehong prefectures in 2014. A questionnaire was designed to collect socio-demographic characteristics, ART and MMT information and sexual and drug use behaviors within 3 months before the investigation was conducted. Logistic regression analysis was conducted to identify the predictors for drug use and risky sexual behaviors.
RESULTSA total of 328 cases were included in the analysis, among which 202 were ART-experienced and 126 were ART-naÏve. Among 152 respondents who were sexually active, 61 (40.1%) reported having unprotected sex (UPS) with their regular partners in the prior 3 months. A total of 57.6% (189/328) of the respondents used drugs in the prior 3 months. Multiple logistic regression analysis revealed that younger than 35 years old (OR = 3.57, 95% CI: 1.23-10.37), fertility desire (OR = 4.47, 95% CI: 1.49-13.41), partner being HIV-positive (OR = 4.62, 95% CI: 1.80-11.86), length of MMT attendance less than 5 years (OR = 2.92, 95% CI: 1.14-7.53), agreed that it was necessary to use condom no matter the viral load is high or low (OR = 0.14, 95% CI: 0.04-0.51) were protective factors of UPS in the prior 3 months. Multiple logistic regression analysis revealed that being Han (OR = 0.46, 95% CI: 0.24-0.89), feeling having good health status (OR = 0.39, 95% CI: 0.18-0.85), being enrolled in ART (OR = 0.32, 95% CI: 0.17-0.60) were protective factors for drug use in the prior three months, having contact with drug using friends (OR = 4.41, 95% CI: 2.31-8.29), having experience of missing an MMT dose (OR = 3.47, 95% CI: 1.92-6.29), and not satisfied with current MMT dose (OR = 13.92, 95% CI: 3.24-59.93) were risk factors for drug use during the prior three months.
CONCLUSIONART was not associated with risky sexual behavior and drug use in the prior 3 months in this population. Future interventions should promote ART among this population, and provide education at the same time to prevent the emergence of cross infections and drug-resistant strains.
Anti-HIV Agents ; China ; Condoms ; Cross-Sectional Studies ; HIV Infections ; HIV Seropositivity ; Humans ; Organometallic Compounds ; Protective Factors ; Risk Factors ; Risk-Taking ; Sexual Behavior ; Sexual Partners ; Substance-Related Disorders ; Unsafe Sex
5.Recent progress of positron radionuclide labeled small molecule inhibitors of prostate specific membrane antigen for PET/CT imaging of prostate cancer.
Lili PAN ; Xiaoai WU ; Wei DIAO ; Lin LI
Journal of Biomedical Engineering 2020;37(2):219-224
Prostate cancer is the most common tumor of the urinary system, and its mortality rate is second only to lung cancer. With the specific and high expression on the surface of prostate cancer cells, prostate-specific membrane antigen (PSMA) has been an ideal theranostic target of prostate cancer with great clinical significance and research value. Positron emission tomography/computed tomography (PET/CT), a new modality of molecular imaging combining functional metabolic information and anatomical structure, provides high diagnostic performance for cancer detection. This paper mainly reviewed recent progress of PSMA inhibitors labeled by positron-emitting radionuclides for early diagnosis, preoperative staging, response assessment, restaging and metastasis detection of prostate cancer.
Electrons
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Humans
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Kallikreins
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antagonists & inhibitors
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Male
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Positron Emission Tomography Computed Tomography
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Prostate-Specific Antigen
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antagonists & inhibitors
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Prostatic Neoplasms
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diagnostic imaging
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Radioisotopes
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chemistry
6.Occupational health management of radiation workers in non-medical institutions in Shanxi Province, China
Lili GUO ; Jihong XU ; Lixian ZHENG ; Fengjiao WU ; Jianhua SHI ; Xiaoai ZHAO ; Qiyu ZHAO
Chinese Journal of Radiological Health 2024;33(1):92-95
Objective To understand the basic information of the number, classification, and distribution of radiation work units in non-medical institutions in Shanxi Province, China, and to analyze the status quo of health management and radiation protection measures for radiation workers, so as to provide a scientific basis for occupational exposure protection in non-medical radiation work units and better protect the occupational health rights and interests of radiation workers. Methods A questionnaire survey was conducted to investigate some non-medical institutions in Shanxi Province. On-site testing was carried out to determine the risk factors for radioactive occupational diseases in the selected non-medical institutions. Results In 220 non-medical institutions, there were 340 radiation devices and 2284 radioactive sources. The rate of individual dose monitoring was 92.7% and the rate of occupational health examination was 87.2%. These devices were equipped with 325 detection instruments for radiation protection, 1316 personal protective equipment, and 730 personal dose alarms. Radiation occupational disease risk factors were investigated in 101 institutions. Conclusion The occupational health management of radiation workers in non-medical institutions in Shanxi Province is generally in line with the national standards. However, there is still a big gap with the level of occupational health management in medical institutions. The health administration departments should clarify the management measures for non-medical institutions and strengthen their supervision and management functions.
7.Multi-responsive nanotheranostics with enhanced tumor penetration and oxygen self-producing capacities for multimodal synergistic cancer therapy.
Shuangquan GOU ; Nanxi CHEN ; Xiaoai WU ; Menghang ZU ; Shixiong YI ; Binwu YING ; Fangyin DAI ; Bowen KE ; Bo XIAO
Acta Pharmaceutica Sinica B 2022;12(1):406-423
Incorporation of multiple functions into one nanoplatform can improve cancer diagnostic efficacy and enhance anti-cancer outcomes. Here, we constructed doxorubicin (DOX)-loaded silk fibroin-based nanoparticles (NPs) with surface functionalization by photosensitizer (N770). The obtained nanotheranostics (N770-DOX@NPs) had desirable particle size (157 nm) and negative surface charge (-25 mV). These NPs presented excellent oxygen-generating capacity and responded to a quadruple of stimuli (acidic solution, reactive oxygen species, glutathione, and hyperthermia). Surface functionalization of DOX@NPs with N770 could endow them with active internalization by cancerous cell lines, but not by normal cells. Furthermore, the intracellular NPs were found to be preferentially retained in mitochondria, which were also efficient for near-infrared (NIR) fluorescence imaging, photothermal imaging, and photoacoustic imaging. Meanwhile, DOX could spontaneously accumulate in the nucleus. Importantly, a mouse test group treated with N770-DOX@NPs plus NIR irradiation achieved the best tumor retardation effect among all treatment groups based on tumor-bearing mouse models and a patient-derived xenograft model, demonstrating the unprecedented therapeutic effects of trimodal imaging-guided mitochondrial phototherapy (photothermal therapy and photodynamic therapy) and chemotherapy. Therefore, the present study brings new insight into the exploitation of an easy-to-use, versatile, and robust nanoplatform for programmable targeting, imaging, and applying synergistic therapy to tumors.
8.Construction and verification of an intelligent measurement model for diabetic foot ulcer.
Nan ZHAO ; Qiuhong ZHOU ; Jianzhong HU ; Weihong HUANG ; Jingcan XU ; Min QI ; Min PENG ; Wenjing LUO ; Xinyi LI ; Jiaojiao BAI ; Liaofang WU ; Ling YU ; Xiaoai FU
Journal of Central South University(Medical Sciences) 2021;46(10):1138-1146
OBJECTIVES:
The measurement of diabetic foot ulcers is important for the success in diabetic foot ulcer management. At present, it lacks the accurate and convenient measurement tools in clinical. In recent years, artificial intelligence technology has demonstrated the potential application value in the field of image segmentation and recognition. This study aims to construct an intelligent measurement model of diabetic foot ulcers based on the deep learning method, and to conduct preliminary verification.
METHODS:
The data of 1 042 diabetic foot ulcers clinical samples were collected. The ulcers and color areas were manually labeled, of which 782 were used as the training data set and 260 as the test data set. The Mask RCNN ulcer tissue color semantic segmentation and RetinaNet scale digital scale target detection were used to build a model. The training data set was input into the model and iterated. The test data set was used to verify the intelligent measurement model.
RESULTS:
This study established an intelligent measurement model of diabetic foot ulcers based on deep learning. The mean average precision@.5 intersection over union (mAP@.5IOU) of the color region segmentation in the training set and the test set were 87.9% and 63.9%, respectively; the mAP@.5IOU of the ruler scale digital detection in the training set and the test set were 96.5% and 83.4%, respectively. Compared with the manual measurement result of the test sample, the average error of the intelligent measurement result was about 3 mm.
CONCLUSIONS
The intelligent measurement model has good accuracy and robustness in measuring the diabetic foot ulcers. Future research can further optimize the model with larger-scale data samples.
Artificial Intelligence
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Diabetes Mellitus
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Diabetic Foot
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Humans