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Hypophysitis induced by anti-programmed cell death protein 1 immunotherapy in non-small cell lung cancer:Three case reports

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World Journal of Clinical Cases 2022年第30期10卷 11049-11058页

作者： yun Zheng chen-yu zhu Jing Lin Wang-Shan chen yu-Jie Wang Hong-Ye Fu Qiong Zhao Zhejiang University School of Medicine Zhejiang UniversityHangzhou 310030Zhejiang ProvinceChina Department of Thoracic Oncology Shulan(Hangzhou)Hospital affiliated to Zhejiang Shuren University Shulan International Medical CollegeHangzhou 310000Zhejiang ProvinceChina Zhejiang Chinese Medical University Hangzhou 311402Zhejiang ProvinceChina

BACKGROUND Hypophysitis induced by programmed cell death 1 protein(PD-1)immune checkpoint inhibitors is rare and poorly *** report three patients with non-small cell lung cancer who developed hypophysitis after anti-PD-1 *** SUMMARY Both case 1 and case 2 presented with common symptoms of fatigue,nausea,and ***,case 3 showed rare acute severe symptoms such as hoarse voice,bucking,and difficulty in breathing even when *** two cycles of immunotherapy in case 3,the above severe symptoms and pituitary gland enlargement were found on magnetic resonance imaging at the onset of *** symptoms were relieved after 10 d of steroid *** 3 was the first patient with these specific symptoms,which provided a new insight into the diagnosis of *** addition,we found that the clinical prognosis of patients with hypophysitis was related to the dose of steroid *** 3 was treated with high-dose hormone therapy and her pituitary-corticotropic axis dysfunction returned to normal after more than 6 mo of steroid *** 1 and 2 were treated with the low-dose hormone,and dysfunction of the pituitary-corticotropic axis was still present after up to 7 mo of steroid *** The clinical symptoms described in this study provide a valuable reference for the diagnosis and treatment of immune-related hypophysitis.

关键词： Programmed cell death protein 1 Immunotherapy Hypophysitis Lung cancer Case reports

Thoughts on Traditional Chinese Medicine Treatment of Novel Coronavirus Pneumonia Based on Two Cases

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Chinese Journal of Integrative Medicine 2021年第5期27卷 375-378页

作者： MA Jie WU Hua-yang chen yu-zhu HUANG Mao ZHANG Li-shan Department of Respiratory Medicine Beijing Hospital of Integrated Traditional Chinese and Western MedicineBeijing 100039China Department of Respiratory Medicine Dongzhimen Hospital Affiliated to Beijing University of Chinese MedicineBeijing 100700China Department of Traditional Chinese Medicine Beijing Jingmei Group General HospitalBeijing 102300China

Since December 2019,cases of unexplained pneumonia have been found in Wuhan,Hubei Province,*** scholars have identified the disease as caused by a new type of *** disease is categorized as a plague in Chinese medicine... 详细信息

关键词： Wuhan Hubei Corona

C^3:Consensus Cancer Driver Gene Caller

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Genomics, Proteomics & Bioinformatics 2019年第3期17卷 311-318页

作者： chen-yu zhu Chi Zhou yun-Qin chen Ai-Zong Shen Zong-Ming Guo Zhao-Yi Yang Xiang-yun Ye Shen Qu Jia Wei Qi Liu Department of Endocrinology&Metabolism Shanghai Tenth People’s HospitalBioinformatics DepartmentSchool of Life Sciences and TechnologyTongji UniversityShanghai 200092China Department of Ophthalmology Ninghai First HospitalNinghai 315600China R&D Information Innovation Center ChinaAstraZenecaShanghai 201203China Shanghai Chest Hospital Shanghai Jiaotong UniversityShanghai 200240China Department of Pharmacy The First Affiliated Hospital of University of Science and Technology of ChinaHefei 230036China

Next-generation sequencing has allowed identification of millions of somatic mutations in human cancer cells.A key challenge in interpreting cancer genomes is to distinguish drivers of cancer development among available genetic *** address this issue,we present the first webbased application,consensus cancer driver gene caller(C^3),to identify the consensus driver genes using six different complementary strategies,i.e.,frequency-based,machine learning-based,functional bias-based,clustering-based,statistics model-based,and network-based *** application allows users to specify customized operations when calling driver genes,and provides solid statistical evaluations and interpretable visualizations on the integration results.C^3 is implemented in Python and is freely available for public use at http://***/c3.

关键词： Somatic mutation Cancer driver genes Consensus Data integration Web server

Immunohistochemical　study　of　gastrin　in　colorectal　carcinoma　tissues　and　its　adjacent　mucosa

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World Journal of Gastroenterology 1997年第2期3卷 27-29页

作者： JIANG Chun Ping, chen yu Quan, zhu Jian Wei, SHEN Hong Xun and yu Xiu

AIM To study the expression of gastrin in colorectal carcinoma tissues and its adjacent mucosa and discuss the action of gastrin on colorectal carcinoma. METHODS The gastrin expression in colorectal carcinoma tissues and its adjacent mucosa of 58 cases was examined by using immunohistochemical and immunoelectron microscopic technique. RESULTS Of the transitional mucosa (TM) of co_ lorectal carcinoma, nontypical dysplasia mucosa and carcinoma tissue, the positive rate of gastrin is 35 1%, 48 3% and 60 3% respectively, with an increasing trend ( P <0 05). The granules of protein A gold (PAG) of immunoelectron microscopy may be seen in different electro density secreting granules in carcinoma cells and intercellular spaces or on the surface of membrane microvillus. CONCLUSION The existence of gastrin in colorectal carcinoma tissue and its adjacent mucosa, and the carcinoma cells forming gastrin granules to release the gastrin may be one of the initial factors in occurrence and development of the carcinoma. Positive expression of gastrin in colorectal carcinoma tissues serves as a marker indicating a good differentiation.

关键词： colorectal neoplasms gastrin immunohistochemistry microscopy, electron

Fabrication of carbon-supported Al2O3 nanoparticles via spontaneous cross-linking to enhance selective hydrogenation of furfural

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Journal of Energy Chemistry 2025年第1期100卷 612-620页

作者： Weiwei yu Xinbao Zhang Hongyu chen Yanan Wang Shaoguo Li Fucun chen Zhenni Liu Xiujie Li Xiangxue zhu State Key Laboratory of Catalysis Dalian Institute of Chemical Physics Chinese Academy of Sciences

Selective hydrogenation of furfural to furfuryl alcohol is a great challenge in the hydrogenation field due to thermodynamic preference for hydrogenation of C=C over C=***,a novel Al2O3/C-u hybrid catalyst,composed of N-modified dendritic carbon networks supporting Al2O3nanoparticles,was successfully prepared via carbonizing the freeze-dried gel from spontaneous cross-linking of alginate,Al3+and *** obtained carbon-supported Al2O3hybrid catalyst has a high ratio （31%） of Al species in pentahedral-coordinated *** introduction of urea enhances the surface N content,the ratio of pyrrolic N,and specific surface area of catalyst,leading to improved adsorption capacity of C=O and the accessibility of active *** the furfural hydrogenation reaction with isopropyl alcohol as hydrogen donor,Al2O3/C-u catalyst achieved a 90%conversion of furfural with 98.0% selectivity to furfuryl alcohol,outperforming that of commercial γ-***,Al2O3/C-u demonstrates excellent catalytic stability in the recycling tests attributed to the synergistic effect of abundant weak Lewis acid sites and the anchoring effect of the carbon network on *** work provides an innovative and facile strategy for fabrication of carbon-supported Al2O3hybrid catalysts with rich AlVspecies,serving as a high selective hydrogenation catalyst through MPV reaction route.

关键词： Selective hydrogenation Furfural Furfuryl alcohol Cross-linking Carbon supported Al 2 O 3 MPV route

A new horizon for neuroscience:terahertz biotechnology in brain research

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Neural Regeneration Research 2025年第2期20卷 309-325页

作者： Zhengping Pu yu Wu Zhongjie zhu Hongwei Zhao Donghong Cui Shanghai Key Laboratory of Psychotic Disorders Shanghai Mental Health CenterShanghai Jiao Tong University School of MedicineShanghaiChina Department of Psychiatry Kangci Hospital of JiaxingTongxiangZhejiang ProvinceChina Shanghai Synchrotron Radiation Facility Shanghai Advanced Research InstituteChinese Academy of SciencesShanghaiChina Key Laboratory of Interfacial Physics and Technology Shanghai Institute of Applied PhysicsChinese Academy of ScienceShanghaiChina National Facility for Protein Science in Shanghai Shanghai Advanced Research InstituteChinese Academy of SciencesShanghaiChina

Terahertz biotechnology has been increasingly applied in various biomedical fields and has especially shown great potential for application in brain *** this article,we review the development of terahertz biotechnology and its applications in the field of *** evidence indicates promising prospects for the use of terahertz spectroscopy and terahertz imaging techniques in the diagnosis of amyloid disease,cerebrovascular disease,glioma,psychiatric disease,traumatic brain injury,and myelin *** vitro and animal experiments have also demonstrated the potential therapeutic value of terahertz technology in some neuropsychiatric *** the precise underlying mechanism of the interactions between terahertz electromagnetic waves and the biosystem is not yet fully understood,the research progress in this field shows great potential for biomedical noninvasive diagnostic and therapeutic ***,the biosafety of terahertz radiation requires further exploration regarding its two-sided efficacy in practical *** review demonstrates that terahertz biotechnology has the potential to be a promising method in the field of neuropsychiatry based on its unique advantages.

关键词： biological effect brain neuron neuropsychiatry neuroscience non-thermal effect terahertz imaging terahertz radiation terahertz spectroscopy terahertz technology

敦煌藏文本禄命书P.T.127《推十二时人命相属法》的再研究

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中国藏学 2009年第1期 157-160页

作者：陈于柱兰州大学敦煌学研究所天水师范学院

抄创于归义军时期的敦煌藏文本P.T.127禄命书,主要依据汉文本P.3398《推十二时人命相属法》改编而成,该占书以敦煌吐蕃裔民为信仰对象、以汉族北斗五帝为最高命属、以佛教转生为解释手段;P.T.127禄命书既是归义军时期敦煌地区民族、佛... 详细信息

抄创于归义军时期的敦煌藏文本P.T.127禄命书,主要依据汉文本P.3398《推十二时人命相属法》改编而成,该占书以敦煌吐蕃裔民为信仰对象、以汉族北斗五帝为最高命属、以佛教转生为解释手段;P.T.127禄命书既是归义军时期敦煌地区民族、佛教、数术等多元社会因素互动下的产物,也是这一时期敦煌蕃汉族群认同与宗教文化交流受容的有力见证,同时对敦煌社会"违戒"风俗和吐蕃社群历史追忆也有着具体的折射。

关键词：藏文本禄命书敦煌社会吐蕃裔民族群认同

Netrin-1 signaling pathway mechanisms in neurodegenerative diseases

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Neural Regeneration Research 2025年第4期20卷 960-972页

作者： Kedong zhu Hualong Wang Keqiang Ye Guiqin chen Zhaohui Zhang Department of Neurology Renmin Hospital of Wuhan UniversityWuhanHubei ProvinceChina Department of Neurology The First Hospital of Hebei Medical UniversityBrain Aging and Cognitive Neuroscience Laboratory of Heibei ProvinceShijiazhuangHebei ProvinceChina Faculty of Life and Health Sciences Shenzhen Institutes of Advanced TechnologyChinese Academy of SciencesShenzhenGuangdong ProvinceChina

Netrin-1 and its receptors play crucial roles in inducing axonal growth and neuronal migration during neuronal *** profound impacts then extend into adulthood to encompass the maintenance of neuronal survival and synaptic *** amounts of evidence highlight several key points:(1)Diminished Netrin-1 levels exacerbate pathological progression in animal models of Alzheimer’s disease and Parkinson’s disease,and potentially,similar alterations occur in humans.(2)Genetic mutations of Netrin-1 receptors increase an individuals’susceptibility to neurodegenerative disorders.(3)Therapeutic approaches targeting Netrin-1 and its receptors offer the benefits of enhancing memory and motor function.(4)Netrin-1 and its receptors show genetic and epigenetic alterations in a variety of *** findings provide compelling evidence that Netrin-1 and its receptors are crucial targets in neurodegenerative *** a comprehensive review of Netrin-1 signaling pathways,our objective is to uncover potential therapeutic avenues for neurodegenerative disorders.

关键词： Alzheimer’s disease axon guidance colorectal cancer Netrin-1 receptors Netrin-1 signaling pathways Netrin-1 neurodegenerative diseases neuron survival Parkinson’s disease UNC5C

Deep learning-based,computer-aided classifier developed with dermoscopic images shows comparable performance to 164 dermatologists in cutaneous disease diagnosis in the Chinese population

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Chinese Medical Journal 2020年第17期133卷 2027-2036页

作者： Shi-Qi Wang Xin-yuan Zhang Jie Liu Cui Tao chen-yu zhu Chang Shu Tao Xu Hong-Zhong Jin Department of Dermatology Peking Union Medical College HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100730China School of Biomedical Informatics The University of Texas Health Science Center at HoustonHoustonTX 77030USA Department of Epidemiology and Statistics School of Basic MedicinePeking Union Medical CollegeInstitute of Basic Medical SciencesChinese Academy of Medical SciencesBeijing 100005China

Background:Diagnoses of Skin diseases are frequently delayed in China due to lack of dermatologists.A deep learning-based diagnosis supporting system can facilitate pre-screening patients to prioritize dermatologists’*** aimed to evaluate the classification sensitivity and specificity of deep learning models to classify skin tumors and psoriasis for Chinese population with a modest number of dermoscopic ***:We developed a convolutional neural network(CNN)based on two datasets from a consecutive series of patients who underwent the dermoscopy in the clinic of the Department of Dermatology,Peking Union Medical College Hospital,between 2016 and 2018,*** order to evaluate the feasibility of the algorithm,we used two *** I consisted of 7192 dermoscopic images for a multi-class model to differentiate three most common skin tumors and other *** II consisted of 3115 dermoscopic images for a two-class model to classify psoriasis from other inflammatory *** compared the performance of CNN with 164 dermatologists in a reader study with 130 dermoscopic *** experts’consensus was used as the reference standard except for the cases of basal cell carcinoma(BCC),which were all confirmed by ***:The accuracies of multi-class and two-class models were 81.49%±0.88%and 77.02%±1.81%,*** the reader study,for the multi-class tasks,the diagnosis sensitivity and specificity of 164 dermatologists were 0.770 and 0.962 for BCC,0.807 and 0.897 for melanocytic nevus,0.624 and 0.976 for seborrheic keratosis,0.939 and 0.875 for the"others"group,respectively;the diagnosis sensitivity and specificity of multi-class CNN were 0.800 and 1.000 for BCC,0.800 and 0.840 for melanocytic nevus,0.850 and 0.940 for seborrheic keratosis,0.750 and 0.940 for the"others"group,*** the two-class tasks,the sensitivity and specificity of dermatologists and CNN for classifying psoriasis were 0.872 and 0.838

关键词： Artificial intelligence Convolutional neural network Skin tumor Psoriasis Dermoscopy