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基于生物信息学分析及机器学习方法筛选早发型子痫前期的特征基因及相关免疫细胞浸润分析

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中华围产医学杂志 2024年第1期27卷 51-61页

作者：武紫彤郑媛媛丁新首都医科大学附属北京妇产医院(北京妇幼保健院)产科北京100026

目的通过生物信息学分析及机器学习方法探索早发型子痫前期(early-onset pre-eclampsia, EOSP)的特征基因及相关免疫细胞浸润分析。方法在基因表达综合(Gene Expression Omnibus, GEO)数据库中, 以"early-onset pre-eclampsia"为检索词,... 详细信息

目的通过生物信息学分析及机器学习方法探索早发型子痫前期(early-onset pre-eclampsia, EOSP)的特征基因及相关免疫细胞浸润分析。方法在基因表达综合(Gene Expression Omnibus, GEO)数据库中, 以"early-onset pre-eclampsia"为检索词, 检索EOSP与正常妊娠的胎盘组织mRNA序列。采用R语言对芯片数据进行背景校正、标准化、汇总和探针质量控制, 下载注释包进行ID转换, 提取表达矩阵, 使用limma软件包分析去除批次效应后的元数据中EOSP与正常妊娠之间差异表达基因(differentially expressed genes, DEGs)。通过支持向量机递归特征消除(support vector machine-recursive feature elimination, SVM-RFE)分析和LASSO回归模型识别特征基因。通过计算受试者工作特征曲线的曲线下面积(area under the curve, AUC)分析特征基因的诊断能力。然后回顾性收集2022年1月1日至2023年2月28日在首都医科大学附属北京妇产医院分娩的15例EOSP及15例正常妊娠孕产妇的胎盘组织, 应用实时荧光定量聚合酶链反应和蛋白质印迹法验证特征基因的表达情况, 并在验证集中进一步验证。最后, 使用CIBERSORT分析EOSP中免疫细胞浸润的相对比例。组间差异分析采用t检验。结果共检索获得3个基因数据集, 包括GSE44711(EOSP与正常妊娠各8例)、GSE74341(EOSP与正常妊娠分别为7例和5例)及GSE190639(EOSP与正常妊娠各13例), 合并GSE44711和GSE74341数据集后共筛选出了29个DEGs, 其中包括27个上调及2个下调的基因。GO富集分析结果显示这29个DEGs主要参与促性腺激素分泌、女性妊娠、调控内分泌过程、内分泌激素分泌及激素分泌的负调节过程。通过LASSO回归算法及SVM-RFE算法联合分析共筛选出8个特征基因, 分别为EBI3、HTRA4、TREML2、TREM1、NTRK2、ANKRD37、CST6及ARMS2;定量逆转录聚合酶链反应和蛋白质印迹法验证特征基因的表达差异均有统计学意义(P值均<0.05, CST6除外)。Logistic回归分析结果显示, TREML2、ANKRD37、NTRK2、TREM1、HTRA4、EBI3及ARMS2的AUC(95%CI)分别为0.979(0.918~1.000)、0.969(0.897~1.000)、0.969(0.892~1.000)、0.979(0.918~1.000)、0.990(0.954~1.000)、0.990(0.954~1.000)、0.903(0.764~1.000)。免疫细胞浸润结果显示EOSP胎盘组织中的M2巨噬细胞的浸润比例显著低于对照组(0.167±0.074与0.462±0.091, P=0.002), 但单核细胞和嗜酸性粒细胞的浸润比例明显高于对照组(0.201±0.004与0.085±0.006, 0.031±0.001与0.001±0.000, P值均<0.05);特征基因与浸润性免疫细胞之间的相关性分析结果显示7个特征基因与免疫细胞之间密切相关(P值均<0.05)。结论通过生物信息学分析及机器学习方法筛选出7个对于EOSP的早期诊断具有重要意义的特征基因, 为后续子痫前期的预防及治疗提供了新的研究靶点和依据。

关键词：早发型子痫前期计算生物学机器学习基因表达细胞微环境巨噬细胞

头颈部肿瘤患者核心症状及症状群的网络分析与护理对策

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中华护理杂志 2024年第7期59卷 828-834页

作者：刘美子安然吴子童高菲陈文凤中南大学湘雅医院临床护理学教研室长沙市410008

目的调查头颈部肿瘤患者症状的发生率及严重程度,构建头颈部肿瘤患者症状网络,识别网络中的核心症状和症状群。方法便利选取于2022年3月—10月在湖南省长沙市3所三级甲等医院住院的366例头颈部肿瘤患者,采用安德森症状评估量表-头颈部... 详细信息

目的调查头颈部肿瘤患者症状的发生率及严重程度,构建头颈部肿瘤患者症状网络,识别网络中的核心症状和症状群。方法便利选取于2022年3月—10月在湖南省长沙市3所三级甲等医院住院的366例头颈部肿瘤患者,采用安德森症状评估量表-头颈部调查症状的构成。通过探索性因子分析提取症状群,采用R软件构建症状严重程度网络和症状群网络并分析网络的中心性指标,包括强度、紧密度和中介度来确定核心症状和核心症状群。结果头颈部肿瘤患者治疗期间发生率最高的4个症状是口干(93.44%)、疲乏(89.07%)、食欲不振(86.34%)、吞咽或咀嚼困难(85.79%);最严重的症状是口干、食欲不振、口腔或咽喉黏液、吞咽或咀嚼困难。提取的4个症状群分别是口腔咽喉部症状群、胃肠道症状群、情绪睡眠症状群和病感行为症状群,累计方差贡献率为67.415%。症状严重程度网络中,口腔或咽喉黏液(rs=9.60)是强度最大的症状;症状群网络中,口腔或咽喉黏液(rs=1.20)、恶心(rs=1.00)、疲乏(rs=1.10)和嗜睡(rs=0.97)是4个症状群中强度最大的症状。结论口腔或咽喉黏液、恶心、疲乏和嗜睡是头颈部肿瘤患者症状群内的核心症状,口腔咽喉部症状群是核心症状群,建议医护人员基于核心症状和症状群制订干预措施,实施精准化症状管理,提高症状管理效率。

关键词：头颈部肿瘤核心症状症状群网络分析护理

Borophene-ZnO heterostructures:Preparation and application as broadband photonic nonvolatile memory

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Nano Research 2023年第4期16卷 5826-5833页

作者： Runsheng Liu Chuang Hou Xinchao Liang zitong wu Guoan Tai The State Key Laboratory of Mechanics and Control of Mechanical Structures and Laboratory of Intelligent Nano Materials and Devices of Ministry of Education College of Aerospace EngineeringNanjing University of Aeronautics and AstronauticsNanjing 210016China

High-performance photonic nonvolatile memory which combines data storage and photosensing can achieve low power consumption and ensure computational energy *** has been theoretically and experimentally proved to have synergistic effects between two materials,which can lead to promising electronic and optical properties for advanced optoelectronic ***,we report the preparation of borophene-ZnO heterostructures and their applications of broadband photonic nonvolatile *** memory shows a good switching ratio(5×10^(3))and long-term stability(3,600 s),which are superior to those of the pristine borophene or ZnO quantum dots(QDs).It is found that the memory shows a broad light response from ultraviolet(365 nm)to near infrared(850 nm).Besides,the SET voltage will decrease when the device is exposed to light,which can be attributed to the separation of holes and electrons in accelerating the formation of vacancy conductive *** work not only provides a promising material for next-generation photoelectric information,but also paves the way for borophene-based memory towards data storage devices.

关键词： borophene ZnO heterostructure photoluminescence(PL)quenching nonvolatile memory light control

Crystalline BC_(2)N quantum dots

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Nano Research 2023年第5期16卷 7837-7843页

作者： Pengyu Zhang Chuang Hou Wei Shao Runsheng Liu zitong wu Guoan Tai The State Key Laboratory of Mechanics and Control of Mechanical Structures and Laboratory of Intelligent Nano Materials and Devices of Ministry of Education College of Aerospace EngineeringNanjing University of Aeronautics and AstronauticsNanjing 210016China

Ternary materials composed of boron,carbon,nitrogen have drawn tremendous attention because of their suitable band gap,high carrier mobility,high thermal *** properties can effectively compensate for the deficiencies of other typical carbon-based and boron-based materials,such as graphene,borophene,hexagonal boron *** the theoretical progress has advanced the development of ternary materials,it is still a great challenge to synthesize the new nanostructures with good crystallinity and high yield at low dimensional ***,we report that BC_(2)N quantum dots(QDs)can be successfully prepared by in-situ two-step thermal decomposition of sodium cyanoborohydride in a hydrogen-rich *** results show that the as-prepared BC_(2)N QDs have good crystallinity and high *** BC_(2)N QDs have an average lateral size of 3.7 nm and an average thickness of 2.83 *** experimental results show that the QDs are semiconducting with an optical band gap of 2.15 ***,a fabricated BC_(2)N QDs-based nonvolatile memory shows a low SET operating voltage(0.74 V)and a high ON/OFF ratio(more than 1.74×10^(3))as well as good stability.

关键词： BC_(2)N quantum dots graphene borophene non-volatile memory

基于SEER数据库的鼻咽癌患者预后预测模型的构建及验证

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现代医药卫生 2024年第17期40卷 2893-2899页

作者：刘美子安然吴子童陈文凤中南大学湘雅护理学院湖南长沙410013 中南大学湘雅医院临床护理学教研室湖南长沙410008

目的利用监测、流行病学和最终结果(SEER)数据库分析鼻咽癌患者的独立预后因素,建立并验证预后预测模型,以评估患者预后并为个体化治疗提供依据。方法回顾性检索SEER数据库中2010-2018年诊断为鼻咽癌患者的病历信息,以7∶3比例分为SEER... 详细信息

目的利用监测、流行病学和最终结果(SEER)数据库分析鼻咽癌患者的独立预后因素,建立并验证预后预测模型,以评估患者预后并为个体化治疗提供依据。方法回顾性检索SEER数据库中2010-2018年诊断为鼻咽癌患者的病历信息,以7∶3比例分为SEER训练集和SEER验证集,比较SEER训练集和SEER验证集患者基线特征,通过单因素及多因素Cox比例风险回归模型确定鼻咽癌患者独立预后因素,使用R语言构建鼻咽癌患者1、3、5年总生存期(OS)可视化列线图,预测患者1、3、5年死亡风险,使用一致性指数(C-index)、受试者工作特征(ROC)曲线和校准曲线对模型的预测能力进行验证。结果共纳入1602例鼻咽癌患者。患者年龄、婚姻状况、临床分期、M分期、放疗情况是OS的独立预后因素(P<0.05)。根据得到的独立预后因素构建鼻咽癌患者OS列线图。SEER训练集中的C-index为0.717,1、3、5年生存率的ROC曲线下面积(AUC)分别为0.772、0.760、0.758;SEER验证集中的C-index为0.748,1、3、5年生存率的AUC分别为0.805、0.767、0.744。校准曲线与标准参考曲线重叠较多。结论基于SEER数据库建立的预测模型能较好地预测鼻咽癌患者预后。

关键词：鼻咽肿瘤数据库预后预测

头颈癌放疗患者中性粒细胞与淋巴细胞比值的变化轨迹与重度放射性口腔黏膜炎的风险研究

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肿瘤综合治疗电子杂志 2024年第2期10卷 131-139页

作者：刘美子安然曾巧苗吴子童高菲陈文凤中南大学湘雅医院临床护理学教研室湖南长沙410008

目的识别头颈癌(head and neck cancer,HNC)患者放疗期间中性粒细胞与淋巴细胞比值(neutrophil to lymphocyte ratio,NLR)的变化轨迹,分析NLR的变化轨迹与重度放射性口腔黏膜炎(radiotherapy-induced oral mucositis,RIOM)之间的关系。方法采用回顾性纵向研究设计,选取2022年7月至2023年8月在中南大学湘雅医院收治的180例接受放疗的HNC患者作为研究对象。分别在放疗前(T0)、放疗开始后1周(T1)、放疗开始后2周(T2)、放疗开始后3周(T3)、放疗开始后4周(T4)、放疗开始后5周(T5)和放疗开始后6周(T6)收集HNC放疗患者的中性粒细胞计数和淋巴细胞计数,并计算7个时间点的NLR。使用潜类增长模型和增长混合模型识别最佳的NLR轨迹亚组,采用Logistic回归分析判断NLR的轨迹亚组与重度RIOM之间的关系。结果 NLR变化轨迹存在基线低水平-快速增长组(Class-1组)和基线高水平-快速增长组(Class-2组)2个潜在亚组。Logistic回归分析显示,Class-2组发生重度RIOM的危险性是Class-1组的3.67倍。在控制混杂因素的干扰后,NLR轨迹亚组仍是发生重度RIOM的危险因素,且重度RIOM发生风险从3.67倍增加到27.0倍。结论 NLR能够作为预测重度RIOM的生物标志物。NLR较高的人群发生重度RIOM的风险更高。

关键词：头颈癌中性粒细胞与淋巴细胞比值重度放射性口腔黏膜炎变化轨迹潜类增长模型增长混合模型

Dynamic adaptive spatio-temporal graph network for COVID-19 forecasting

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CAAI Transactions on Intelligence Technology 2024年第3期9卷 769-786页

作者： Xiaojun Pu Jiaqi Zhu Yunkun wu Chang Leng zitong Bo Hongan Wang Institute of Software Chinese Academy of Sciences BeijingChina Ecovacs Robotics Co. Ltd.SuzhouJiangsuChina Automotive Software Innovation Center ChongqingChina

Appropriately characterising the mixed space-time relations of the contagion process caused by hybrid space and time factors remains the primary challenge in COVID-19 ***,in previous deep learning models for epidemic forecasting,spatial and temporal variations are captured separately.A unified model is developed to cover all spatio-temporal ***,this measure is insufficient for modelling the complex spatio-temporal relations of infectious disease transmission.A dynamic adaptive spatio-temporal graph network(DASTGN)is proposed based on attention mechanisms to improve prediction *** DASTGN,complex spatio-temporal relations are depicted by adaptively fusing the mixed space-time effects and dynamic space-time dependency *** dual-scale model considers the time-specific,space-specific,and direct effects of the propagation process at the fine-grained ***,the model characterises impacts from various space-time neighbour blocks under time-varying interventions at the coarse-grained *** performance comparisons on the three COVID-19 datasets reveal that DASTGN achieves state-of-the-art results with a maximum improvement of 17.092%in the root mean-square error and 11.563%in the mean absolute *** results indicate that the mechanisms of designing DASTGN can effectively detect some spreading characteristics of *** spatio-temporal weight matrices learned in each proposed module reveal diffusion patterns in various *** conclusion,DASTGN has successfully captured the dynamic spatio-temporal variations of COVID-19,and considering multiple dynamic space-time relationships is essential in epidemic forecasting.

关键词： adaptive COVID-19 forecasting dynamic intervention spatio-temporal graph neural networks

Tumor budding is a meaningful prognostic marker in patients with hepatocellular carcinoma after curative hepatectomy

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Portal Hypertension & Cirrhosis 2024年第2期3卷 86-95页

作者： Kaibo Yang Kunjin wu zitong Lei Tong Liu Xing Zhang Jing Li Kun Yang Qiuting Peng Ting Lin Chang Liu Kai Qu Department of Hepatobiliary Surgery and Liver Transplantation The Second Affiliated Hospital of Xi'an Jiaotong UniversityXi'anShaanxiChina Key Laboratory of Surgical Critical Care and Life Support(Xi'an Jiaotong University) Ministry of EducationXi'anShaanxiChina Department of Critical Care Nephrology and Blood Purification The First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anShaanxiChina Hangzhou Institute of National Extremelyweak Magnetic Field Infrastructure HangzhouZhejiangChina Department of Surgical Intensive Care Units The First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anShaanxiChina

Aim:Tumor budding(TB)has excellent prognostic value in many solid tumors,but there is little research on it in hepatocellular carcinoma(HCC).This study assessed the prognostic value of TB in patients with HCC who received ***:This retrospective study included 210 patients with HCC who received curative hepatectomy at the First Affiliated Hospital of Xi'an Jiaotong University,between 2016 and *** was evaluated on hematoxylin-and eosin-stained slides according to the criteria established by the 2016 International Tumor Budding Consensus Conference.t-tests,Chi-squared tests,and rank-sum tests were used to correlate the extent of TB with clinicopathological *** analysis was performed using Cox regression models and the Kaplan–Meier ***:The positive detection rate of TB was 45.2%(95/210)in 210 patients with *** positive for TB always exhibit lower tumor differentiation,higher hepatitis B virus DNA levels,and more severe liver *** Cox analysis identified TB(hazard ratio[HR]:2.232,95%confidence interval[CI]:1.479–3.368,p<0.001)as an independent prognostic factor for patients'recurrence-free survival(RFS),similar to tumor size(HR:1.070,95%CI:1.070–1.142,p=0.042)and satellite nodule(HR:2.266,95%CI:1.298–3.956,p=0.004).Kaplan–Meier analysis also demonstrated that TB-positive patients had a significantly worse ***,subgroup analysis revealed that among HCC patients with negative microvascular invasion(MVI),TB was also strongly associated with RFS(HR:3.206,95%CI:1.667–6.168,p<0.001).These findings suggest that TB may serve as a supplemental prognostic biomarker for HCC-negative ***:TB is an adverse prognostic biomarker for HCC,particularly in patients negative for *** evaluation should be considered in the postoperative pathological examination of HCC in clinical practice.

关键词： hepatocellular carcinoma microvascular invasion prognosis tumor budding

Borophene-based materials for energy,sensors and information storage applications

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Nano Research Energy 2023年第2期2卷 89-113页

作者： Chuang Hou Guoan Tai Yi Liu zitong wu Xinchao Liang Xiang Liu The State Key Laboratory of Mechanics and Control of Mechanical Structures and Laboratory ofIntelligent Nano Materials and Devices of Ministry of Education College of Aerospace EngineeringNanjing University of Aeronautics and AstronauticsNanjing 210016China

Borophene,as a rising-star monoelemental two-dimensional(2D)material,has motivated great interest because of its novel properties,such as anisotropic plasmonics,high carrier mobility,mechanical compliance,optical transparency,ultrahigh thermal conductance,and *** properties make it an ideal candidate for use in the field of energy,sensors,and information *** by the realization of pioneering experimental works in 2015 and the follow-up synthesis experiments,a series of high-performance borophene-based devices in the fields,including supercapacitors,batteries,hydroelectric generators,humidity sensors,gas sensors,pressure sensors,and memories,have been experimentally reported in recent years,which are beneficial to the transition of borophene-based materials from experimental synthesis to practical ***,in addition to paying attention to the experimental preparation of borophene,significant efforts are needed to promote the advancement of related applications of *** this review,after providing a brief overview of borophene evolution and synthesis,we mainly summarize the applications of borophene-based materials in energy storage,energy conversion,energy harvesting,sensors,and information ***,based on the current research status,some rational suggestions and discussions on the issues and challenges in the future research direction are proposed.

关键词： borophene energy energy storage energy conversion sensors information storage