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中国精品科技期刊2020

基于CiteSpace的食品和肠道微生物研究的计量分析

吴雨凌 马雨辰 邓胡雪 付才力 李占明

吴雨凌,马雨辰,邓胡雪,等. 基于CiteSpace的食品和肠道微生物研究的计量分析[J]. 食品工业科技,2022,43(23):1−10. doi:  10.13386/j.issn1002-0306.2022030235
引用本文: 吴雨凌,马雨辰,邓胡雪,等. 基于CiteSpace的食品和肠道微生物研究的计量分析[J]. 食品工业科技,2022,43(23):1−10. doi:  10.13386/j.issn1002-0306.2022030235
WU Yuling, MA Yuchen, DENG Huxue, et al. Quantitative Analysis of Food and Gut Microbiota Based on CiteSpace[J]. Science and Technology of Food Industry, 2022, 43(23): 1−10. (in Chinese with English abstract). doi:  10.13386/j.issn1002-0306.2022030235
Citation: WU Yuling, MA Yuchen, DENG Huxue, et al. Quantitative Analysis of Food and Gut Microbiota Based on CiteSpace[J]. Science and Technology of Food Industry, 2022, 43(23): 1−10. (in Chinese with English abstract). doi:  10.13386/j.issn1002-0306.2022030235

基于CiteSpace的食品和肠道微生物研究的计量分析

doi: 10.13386/j.issn1002-0306.2022030235
基金项目: 福建省卫计委科技计划项目(2021GGA054);江苏科技大学人才引进启动经费(1182932009);福州市科技特派员经费(RS-002);福州市科技特派员后补助项目(AFZ2021K010003)。
详细信息
    作者简介:

    吴雨凌(2001−),女,本科,研究方向:食品质量与安全,E-mail:780076610@qq.com

    马雨辰(1999−),女,本科,研究方向:食品分析,E-mail:yuchen.ma@nusri.cn

    通讯作者:

    李占明(1984−),男,博士,讲师,研究方向:农产品质量与分析,E-mail:lizhanming@just.edu.cn

  • 中图分类号: TS201.3

Quantitative Analysis of Food and Gut Microbiota Based on CiteSpace

  • 摘要: 本文以Web of Science(WOS)核心文集为数据来源,运用CiteSpace软件对2004~2022年食品和肠道微生物研究领域的8310篇相关文献的年度发文量、作者、国家和机构合作网络、关键词共现和突现以及文献共被引图谱进行分析。结果表明:自2005年来,食品和肠道微生物领域的年发文量逐年增长;该领域的主要研究主题是饮食对肠道微生物和相关疾病的影响;目前该领域的研究前沿为乳化剂、共生、肠道微生物、嗜黏蛋白阿克曼菌和开菲尔等;我国在该领域的发文量位居第二,但国际合作较少,后续应扩展国际合作,进一步提高相关研究水平。
  • 图  1  主题检索结果

    Figure  1.  The results of theme retrieval

    图  2  知识量化分析流程

    Figure  2.  The process of knowledge quantitative analysis

    图  3  年度发文量

    Figure  3.  Annual publication

    图  4  作者合作网络

    Figure  4.  Author cooperation network

    图  5  机构合作网络

    Figure  5.  Organization cooperation network

    图  6  国家合作网络

    Figure  6.  National cooperation network

    图  7  关键词共现(左)及聚类(右)分析

    Figure  7.  Keywords co-occurrence (left) and clustering (right) analysis

    图  8  高频突现关键词

    Figure  8.  High frequency emergent keywords

    图  9  文献共被引(左)及聚类(右)分析

    Figure  9.  Literature co-citation (left) and clustering (right)analysis

    表  1  发文量前20作者

    Table  1.   Top 20 authors by the number of publications

    作者发文量(篇)中介中心度
    Wei Chen370
    Patrice D Cani330
    Tom Van De Wiele300.01
    Hao Zhang270
    Miguel Gueimonde270
    Jianxin Zhao240.01
    Willem M De Vos240.01
    Abelardo Margolles230.01
    Nathalie M Delzenne210.01
    Clara G De Los Reyesgavilan200
    Glenn R Gibson190.01
    Douwe Van Sinderen190.02
    Bin Liu170
    Jing Wang150
    Catherine Stanton150
    John F Cryan150.01
    Seppo Salminen150.02
    Jeffrey I Gordon140
    Borja Sanchez140
    Cristina Andreslacueva130
    下载: 导出CSV

    表  2  发文量前20机构

    Table  2.   Top 20 institutions by the number of publications

    机构发文量(篇)中介中心度
    Chinese Acad Sci1290.06
    Univ Copenhagen1120.04
    CSIC1020.05
    Univ Illinois970.04
    Univ Calif Davis960.06
    Univ Ghent760.05
    INRA730.08
    China Agr Univ700.03
    Univ Chinese Acad Sci690.01
    Univ Helsinki660.05
    Univ Alberta650.05
    Harvard Med Sch610.02
    Zhejiang Univ600.04
    Chinese Acad Agr Sci600.05
    Univ Bologna600.07
    Univ Coll Cork590.01
    Univ Reading570.07
    Jiangnan Univ550.01
    Univ Naples Federico II550.04
    Univ Sao Paulo530.03
    下载: 导出CSV

    表  3  发文量前20国家

    Table  3.   Top 20 countries by the number of publications

    国家发文量(篇)中介中心度
    USA18240.56
    China15670.04
    Italy6180.08
    Spain5060.07
    France4730.14
    England4060.17
    Germany3980.14
    Canada3730.1
    Australia3440.02
    Netherlands2970.03
    Japan2860.05
    Brazil2830.03
    India2140.03
    Belgium2050.04
    South Korea1940.02
    Sweden1920.08
    Poland1800.01
    Denmark1750.12
    Switzerland1740.11
    Ireland1600.02
    下载: 导出CSV

    表  4  出现频次前20的关键词

    Table  4.   Top 20 keywords by the frequency of appearance

    关键词词频中介中心度
    Gut microbiota18470.01
    Diet7030
    Intestinal microbiota6350.05
    Chain fatty acid6090.02
    Bacteria5730.01
    Health5340
    Food5300.03
    Microbiota5210
    Diversity5020.01
    Metabolism4830.01
    In vitro fermentation4660.02
    Obesity4570.02
    Inflammation4260.01
    Impact3250
    Double blind3160.1
    Lactic acid bacteria3140.05
    Probiotics2960
    Disease2960.05
    Gut2950.01
    Expression2910.02
    下载: 导出CSV

    表  5  关键词聚类

    Table  5.   Keyword clustering

    标签名称S值所含关键词数
    0Diet0.88751
    1Escherichia coli0.88549
    2Crohns disease0.93247
    3Irritable bowel syndrome 0.91542
    4Chain fatty acid0.89140
    5Regulatory T cell0.92240
    6Tmao0.97439
    7Prebiotics0.94638
    8Food intake0.92136
    9Oxidative stress0.94235
    10Survival0.86135
    11Food0.93834
    12Gastrointestinal tract0.91433
    13Microbial translocation0.81632
    14Bariatric surgery0.86732
    15Disease0.92831
    16Diversity0.83531
    17Induction0.90731
    18Identification0.86930
    19Obesity0.86630
    20Nf kappa b0.87327
    21Cardiovascular disease0.88924
    下载: 导出CSV

    表  6  被引数量前20文献

    Table  6.   Top 20 citations by cited quantity

    文献被引次数中介中心度
    David[31]3610.08
    Koh[32]1990.01
    Gibson[33]1970.04
    Callahan[34]1800.02
    Yatsunenko[35]1680.04
    Wu[36]1500.18
    Desai[37]1380.01
    Chassaing[38]1320.03
    Qin[39]1270.01
    Sonnenburg[40]1270.06
    De[41]1250
    Rios-covian[42]1250.02
    Hill[43]1230.02
    Morrison[44]1210
    Tremaroli[45]1200.01
    Singh[46]1170.02
    Arumugam[47]1140.01
    Makki K[48]1140.02
    Bolyen[49]1130.02
    De[50]1090.02
    下载: 导出CSV
  • [1] CHEN C M. CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature[J]. Journal of the American Society for Information Science and Technology,2006,57(3):359−377. doi:  10.1002/asi.20317
    [2] 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. [CHEN Y, CHEN C M, LIU Z Y, et al. The methodology function of CiteSpace mapping knowledge domains[J]. Studies in Science of Science,2015,33(2):242−253. doi:  10.3969/j.issn.1003-2053.2015.02.009
    [3] CHEN C, YUE C, HOROWITZ M, et al. Towards an explanatory and computational theory of scientific discovery[J]. Journal of Informetrics,2009,3(3):191−209. doi:  10.1016/j.joi.2009.03.004
    [4] SHAH T, SHAH Z, BALOCH Z, et al. The role of microbiota in respiratory health and diseases, particularly in tuberculosis[J]. Biomedicine & Pharmacotherapy,2021,143:112108.
    [5] ZHU C, WANG X, LI J, et al. Determine independent gut microbiota-diseases association by eliminating the effects of human lifestyle factors[J]. BMC Microbiology,2022,22(1):1−15. doi:  10.1186/s12866-021-02409-6
    [6] MISHRA S P, JAIN S, TARAPHDER S, et al. New horizons in microbiota and metabolic health research[J]. Journal of Clinical Endocrinology & Metabolism,2021,106(2):E1052−E1059.
    [7] YOON K, KIM N. Roles of sex hormones and gender in the gut microbiota[J]. Journal of Neurogastroenterology and Motility,2021,27(3):314−325. doi:  10.5056/jnm20208
    [8] WANG H X, WANG Y P. Gut microbiota-brain axis[J]. Chinese Medical Journal,2016,129(19):2373−2380. doi:  10.4103/0366-6999.190667
    [9] HALL A B, TOLONEN A C, XAVIER R J. Human genetic variation and the gut microbiome in disease[J]. Nature Reviews Genetics,2017,18(11):690−699. doi:  10.1038/nrg.2017.63
    [10] SENDER R, FUCHS S, MILO R. Revised estimates for the number of human and bacteria cells in the body[J]. PLoS Biology,2016,14(8):e1002533. doi:  10.1371/journal.pbio.1002533
    [11] CAMERON E A, SPERANDIO V. Frenemies: Signaling and nutritional integration in pathogen-microbiota-host interactions[J]. Cell Host & Microbe,2015,18(3):275−284.
    [12] LIU H G, ZhUANG J L, TANG P, et al. The role of the gut microbiota in coronary heart disease[J]. Current Atherosclerosis Reports,2020,22(12):77. doi:  10.1007/s11883-020-00892-2
    [13] COLLINS M, DEWITT M. Fecal microbiota transplantation in the treatment of Crohn disease[J]. Jaapa-Journal of the American Academy of Physician Assistants,2020,33(9):34−37. doi:  10.1097/01.JAA.0000694964.31958.b9
    [14] DING J H, JIN Z, YANG X X, et al. Role of gut microbiota via the gut-liver-brain axis in digestive diseases[J]. World Journal of Gastroenterology,2020,26(40):6141−6162. doi:  10.3748/wjg.v26.i40.6141
    [15] SCHEPIS T, DE LUCIA S S, NISTA E C, et al. Microbiota in pancreatic diseases: A review of the literature[J]. Journal of Clinical Medicine,2021,10(24):5920. doi:  10.3390/jcm10245920
    [16] XU H H, LIU M J, CAO J F, et al. The dynamic interplay between the gut microbiota and autoimmune diseases[J]. Journal of Immunology Research,2019:7546047.
    [17] ZHOU A, LEI Y Y, TANG L, et al. Gut microbiota: The emerging link to lung homeostasis and disease[J]. Journal of Bacteriology,2021,203(4):e00454.
    [18] LIU B N, LIU X T, LIANG Z H, et al. Gut microbiota in obesity[J]. World Journal of Gastroenterology,2021,27(25):3837−3850. doi:  10.3748/wjg.v27.i25.3837
    [19] WU Y, WAN J, CHOE U, et al. Interactions between food and gut microbiota: Impact on human health[J]. Annual Review of Food Science and Technology,2019,10:389−408. doi:  10.1146/annurev-food-032818-121303
    [20] CONLON M A, BIRD A R. The impact of diet and lifestyle on gut microbiota and human health[J]. Nutrients,2014,7(1):17−44. doi:  10.3390/nu7010017
    [21] MOLINO S, LERMA-AGUILERA A, JIMENEZ-HERNANDEZ N, et al. Enrichment of food with tannin extracts promotes healthy changes in the human gut microbiota[J]. Frontiers in Microbiology,2021,12:625782. doi:  10.3389/fmicb.2021.625782
    [22] HAN Y, XIAO H. Whole food-based approaches to modulating gut microbiota and associated diseases[J]. Annual Review of Food Science and Technology,2020,11:119−143. doi:  10.1146/annurev-food-111519-014337
    [23] FLORES G E, CAPORASO J G, HENLEY J B, et al. Temporal variability is a personalized feature of the human microbiome[J]. Genome Biology,2014,15(12):1−13.
    [24] ROTHSCHILD D, WEISSBROD O, BARKAN E, et al. Environment dominates over host genetics in shaping human gut microbiota[J]. Nature,2018,555(7695):210−215. doi:  10.1038/nature25973
    [25] TOMOVA A, SOLTYS K, KEMENYOVA P, et al. The influence of food intake specificity in children with autism on gut microbiota[J]. International Journal of Molecular Sciences,2020,21(8):2797. doi:  10.3390/ijms21082797
    [26] CHEN C M. Science mapping: A systematic review of the literature[J]. Journal of Data and Information Science,2017,2(2):1−40. doi:  10.1515/jdis-2017-0006
    [27] 顾理平, 范海潮. 网络隐私问题十年研究的学术场域——基于CiteSpace可视化科学知识图谱分析(2008-2017)[J]. 新闻与传播研究,2018,25(12):57−73, 127. [GU L P, FAN H C. The academic field of online privacy research in a decade: An analysis of scientific knowledge map based on CiteSpace visualization (2008-2017)[J]. Journalism & Communication,2018,25(12):57−73, 127.
    [28] CHEN C, HU Z, LIU S, et al. Emerging trends in regenerative medicine: A scientometric analysis in CiteSpace[J]. Expert Opinion on Biological Therapy,2012,12(5):593−608. doi:  10.1517/14712598.2012.674507
    [29] 李琴, 石学彬. 基于WOS文献计量的食品科技研究现状分析[J]. 科学观察,2012,12(5):593−608. [LI Q, SHI X B. Bibliometric analysis of food science and technology research status based on WOS[J]. Science Focus,2012,12(5):593−608. doi:  10.15978/j.cnki.1673-5668.202103004
    [30] 李雯, 姜仁贵, 解建仓, 等. 基于文献计量学的城市洪涝灾害研究可视化知识图谱分析[J]. 西安理工大学学报,2020,36(4):523−529. [LI W, JIANG R G, XIE J C, et al. Analysis of visual knowledge mapping of urban flood disaster research using bibliometrics[J]. Journal of Xi'an University of Technology,2020,36(4):523−529. doi:  10.19322/j.cnki.issn.1006-4710.2020.04.012
    [31] DAVID L A, MAURICE C F, CARMODY R N, et al. Diet rapidly and reproducibly alters the human gut microbiome[J]. Nature,2014,505(7484):559−563. doi:  10.1038/nature12820
    [32] KOH A, DE VADDER F, KOVATCHEVA-DATCHARY P, et al. From dietary fiber to host physiology: Short-chain fatty acids as key bacterial metabolites[J]. Cell,2016,165(6):1332−1345. doi:  10.1016/j.cell.2016.05.041
    [33] GIBSON G R, HUTKINS R, SANDERS M E, et al. The International Scientific Association for probiotics and prebiotics (ISAPP) consensus statement on the definition and scope of prebiotics[J]. Nature Reviews Gastroenterology & Hepatology,2017,14(8):491−502.
    [34] CALLAHAN B J, MCMURDIE P J, ROSEN M J, et al. Dada 2: High-resolution sample inference from Illumina amplicon data[J]. Nature Methods,2016,13(7):581−583. doi:  10.1038/nmeth.3869
    [35] YATSUNENKO T, REY F E, MANARY M J, et al. Human gut microbiome viewed across age and geography[J]. Nature,2012,486(7402):222−227. doi:  10.1038/nature11053
    [36] WU G D, CHEN J, HOFFMANN C, et al. Linking long-term dietary patterns with gut microbial enterotypes[J]. Science,2011,334(6052):105−108.
    [37] DESAI M S, SEEKATZ A M, KOROPATKIN N M, et al. A dietary fiber-deprived gut microbiota degrades the colonic mucus barrier and enhances pathogen susceptibility[J]. Cell,2016,167(5):1339−1353. doi:  10.1016/j.cell.2016.10.043
    [38] CHASSAING B, KOREN O, GOODRICH J K, et al. Dietary emulsifiers impact the mouse gut microbiota promoting colitis and metabolic syndrome[J]. Nature,2015,519(7541):92−96. doi:  10.1038/nature14232
    [39] QIN J, LI R, RAES J, et al. A human gut microbial gene catalogue established by metagenomic sequencing[J]. Nature,2010,464(7285):59−65. doi:  10.1038/nature08821
    [40] SONNENBURG E D, SMITS S A, TIKHONOV M, et al. Diet-induced extinctions in the gut microbiota compound over generations[J]. Nature,2016,529(7585):212−215. doi:  10.1038/nature16504
    [41] DE FILIPPO C, CAVALIERI D, DI PAOLA M, et al. Impact of diet in shaping gut microbiota revealed by a comparative study in children from Europe and rural Africa[J]. Proceedings of the National Academy of Sciences,2010,107(33):14691−14696. doi:  10.1073/pnas.1005963107
    [42] RÍOS-COVIÁN D, RUAS-MADIEDO P, MARGOLLES A, et al. Intestinal short chain fatty acids and their link with diet and human health[J]. Frontiers in Microbiology,2016,7:185.
    [43] HILL C, GUARNER F, REID G, et al. Expert consensus document: The International Scientific Association for probiotics and prebiotics consensus statement on the scope and appropriate use of the term probiotic[J]. Nature Reviews Gastroenterology & Hepatology,2014,11(8):506−514.
    [44] MORRISON D J, PRESTON T. Formation of short chain fatty acids by the gut microbiota and their impact on human metabolism[J]. Gut Microbes,2016,7(3):189−200. doi:  10.1080/19490976.2015.1134082
    [45] TREMAROLI V, BÄCKHED F. Functional interactions between the gut microbiota and host metabolism[J]. Nature,2012,489(7415):242−249. doi:  10.1038/nature11552
    [46] SINGH R K, CHANG H W, YAN D I, et al. Influence of diet on the gut microbiome and implications for human health[J]. Journal of Translational Medicine,2017,15(1):1−17. doi:  10.1186/s12967-016-1111-6
    [47] ARUMUGAM M, RAES J, PELLETIER E, et al. Enterotypes of the human gut microbiome[J]. Nature,2011,473(7346):174−180. doi:  10.1038/nature09944
    [48] MAKKI K, DEEHAN E C, WALTER J, et al. The impact of dietary fiber on gut microbiota in host health and disease[J]. Cell Host & Microbe,2018,23(6):705−715.
    [49] BOLYEN E, RIDEOUT J R, DILLON M R, et al. Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2[J]. Nature Biotechnology,2019,37(8):852−857. doi:  10.1038/s41587-019-0209-9
    [50] DE FILIPPIS F, PELLEGRINI N, VANNINI L, et al. High-level adherence to a Mediterranean diet beneficially impacts the gut microbiota and associated metabolome[J]. Gut,2016,65(11):1812−1821. doi:  10.1136/gutjnl-2015-309957
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出版历程
  • 收稿日期:  2022-03-21
  • 网络出版日期:  2022-10-19
  • 刊出日期:  2022-11-23

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