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Visualization analysis of research hotspots and trends of biomarkers for idiopathic pulmonary fibrosis based on CiteSpace |
XU Lili1 LI Zhihui1 YU Ningxia1 YANG Shuguang2 LIN Qingqing1 YU Xueqing2 |
1.The First Clinical Medical College, Henan University of Chinese Medicine, Henan Province, Zhengzhou 450046, China;
2.Department of Respiratory and Critical Care Medicine, the First Hospital of Henan University of Chinese Medicine, Henan Province, Zhengzhou 450099, China |
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Abstract Objective To summarize the research hotspots and trends of biomarkers in idiopathic pulmonary fibrosis (IPF) based on CiteSpace software. Methods Literatures on IPF biomarkers in CNKI and Web of Science from January 2001 to August 2021 was retrieved, with authors, institutions, and keywords as nodes, and CiteSpace 5.7.R2 software was used for visual analysis. Results A total of 507 literatures were included. The number of published literatures at home and abroad was on the rise. There were few and relatively scattered authors and institutions in this field in China. There were many foreign authors and institutions with close cooperation. The research hotspots at home and abroad included gene polymorphisms, proteins, diagnostic, and prognostic biomarkers. The research trends included diagnostic and prognostic biomarkers. Conclusion Domestic authors or institutions should strengthen academic exchanges and cooperation, further study the hot spots and trends in this field, and provide reference for the clinical diagnosis and treatment of IPF.
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[1] 中华医学会呼吸病学分会间质性肺疾病学组.特发性肺纤维化诊断和治疗中国专家共识[J].中华结核和呼吸杂志,2016,39(6):427-432.
[2] 欧阳小荔,彭红.特发性肺纤维化预后的影响因素[J].中国呼吸与危重监护杂志,2021,20(11):824-830.
[3] 宋宁,段林,贺文舒.特发性肺间质纤维化的全球发病率和病死率[J].临床荟萃,2015,30(7):744.
[4] 刘晓鹏,张思森.心搏骤停后血液生物标志物对于脑损伤的预测价值[J].中国组织工程研究,2022,26(2):302-307.
[5] 沈怡,李雅倩,胡晓燕,等.生物标志物在特发性肺纤维化中的研究进展[J].临床肺科杂志,2021,26(4):589-593.
[6] 陈悦,陈超美,刘则渊,等.CiteSpace知识图谱的方法论功能[J].科学学研究,2015,33(2):242-253.
[7] 李宁,代华平,朱敏,等.肿瘤坏死因子Ⅱ型受体基因多态性与特发性间质性肺炎的相关性研究[J].中国实验诊断学,2015,19(8):1295-1299.
[8] 刘龙,代华平,肖白,等.ENA-78、IP-10和VEGF基因多态性与特发性肺纤维化的相关性[J].中华医学杂志,2009, 89(38):2690-2694.
[9] 李新霞,代华平,朱敏,等.转化生长因子-β1 T869C G915C基因多态性与特发性肺纤维化的相关性研究[J].中国实用内科杂志,2007(13):1014-1016.
[10] 尹虹雷,尹世琦,刘涛,等.血清SP-A、SP-D在特发性肺间质纤维化疾病进展过程中的临床意义[J].中国现代医生,2015,53(36):13-16.
[11] 陈石,陈静,魏瑜,等.特发性肺纤维化患者肺泡灌洗液和血清中Napsin A、KL-6、SP-A、SP-D表达的意义及与肺功能相关性[J].临床肺科杂志,2020,25(4):565-569.
[12] 袁殷茹,张敏.特发性肺纤维化预后相关生物标志物的研究进展[J].中国医药导报,2017,14(5):31-34.
[13] 张静.血清KL-6、CXCL13及其连续变化对于间质性肺疾病患者预后的临床价值评估[D].成都:成都医学院,2020.
[14] 向敏,赵勇,王先梅.MMP-7在IPF中的水平及意义[J].遵义医学院学报,2012,35(5):400-403.
[15] 孙迪,程哲,蒋天赐,等.肺功能和KL-6在抗合成酶综合征相关间质性肺疾病与特发性肺纤维化中的特点及临床意义[J].中华医学杂志,2020,100(10):748-752.
[16] 严梅,纳建荣,杨朝.基质金属蛋白酶-7和基质金属蛋白酶-28在特发性肺纤维化诊断中的价值[J].临床肺科杂志,2022,27(2):193-197.
[17] 陈勇.KL-6与肿瘤标志物在间质性肺疾病诊断中的意义及关联性分析[D].郑州:郑州大学,2020.
[18] 苏奕亮,翁东,周瑛,等.血清LN、ⅣC、PⅢNP、HA与特发性肺纤维化严重度和预后的相关性[J].中华急诊医学杂志,2018,27(2):188-193.
[19] 陈学远,李雅倩,冯哲敏,等.特发性肺纤维化患者血清透明质酸、层粘连蛋白的变化及意义[J].中国医药导报,2017,14(16):44-46.
[20] 白万富,刘玉键,李想,等.蒙药扫日劳-4味汤对特发性肺纤维化模型大鼠的改善作用及机制初探[J].中国药房,2021,32(12):1435-1441.
[21] 郭璐,钟振东,刘晓姝,等.MUC5B和TOLLIP基因多态性对特发性肺纤维化患者预后评估的临床研究[J].中国呼吸与危重监护杂志,2019,18(6):543-548.
[22] 宋永娜,王林纳,翟建霞,等.MUC5B启动子rs35705950、rs868903基因多态性与特发性肺纤维化的相关性研究[J].临床肺科杂志,2021,26(5):682-686.
[23] 刘睿轩,朱全红.生物标志物检测方法的研究进展[J].中国现代应用药学,2020,37(3):378-384.
[24] 钱建德,孙荣强,宦才娟.免疫球蛋白A、MeCP2和炎症因子水平与特发性肺纤维化患者肺功能的相关性[J].健康研究,2021,41(5):542-545.
[25] 曹孟淑,蔡后荣.2018年特发性肺纤维化临床诊断指南解读[J].中国实用内科杂志,2019,39(5):431-436. |
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