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

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

1.
江苏科技大学粮食学院，江苏镇江 212100
2.
新加坡国立大学苏州研究院，江苏苏州 215123

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
计量
- 文章访问数: 123
- HTML全文浏览量: 28
- PDF下载量: 27
- 被引次数: 0
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

Quantitative Analysis of Food and Gut Microbiota Based on CiteSpace

WU Yuling^1
,,
MA Yuchen^2
,,
DENG Huxue¹,
FU Caili²,
LI Zhanming^{1
, ,}

1.
School of Grain Science and Technology, Jiangsu University of Science and Technology, Zhenjiang 212100, China
2.
National University of Singapore Suzhou Research Institute, Suzhou 215123, China

摘要

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。
- 计量分析 /
- 肠道微生物 /
- CiteSpace /
- 食品 /
- Web of Science
Abstract: Based on the core corpus of Web of Science (WOS), CiteSpace software is utilized to analyze the annual number of publications, authors, institutional and national cooperation networks, keyword co-occurrence and emergence, and literature co-citation maps of 8310 related articles and reviews which is in the field of food and gut microbiota and published between 2004 and 2022. The results present that the annual number of publications in the field of food and gut microbiota is increasing from 2005, and the main research topic in this field is the influence of diet on gut microbiota and related diseases. Currently, research frontier is emulsifiers, symbiosis, gut microbiota, Akkermansia muciniphila, and Kefir. The number of publications from Chinese authors rank second in this field, but the international cooperation is lacking. In the future, more international cooperation should be performed to improve research skills.
- metrological analysis /
- gut microbiota /
- CiteSpace /
- food /
- Web of Science

HTML全文

图 1 主题检索结果

Figure 1. The results of theme retrieval

下载: 全尺寸图片幻灯片

图 2 知识量化分析流程

Figure 2. The process of knowledge quantitative analysis

下载: 全尺寸图片幻灯片

图 3 年度发文量

Figure 3. Annual publication

下载: 全尺寸图片幻灯片

图 4 作者合作网络

Figure 4. Author cooperation network

下载: 全尺寸图片幻灯片

图 5 机构合作网络

Figure 5. Organization cooperation network

下载: 全尺寸图片幻灯片

图 6 国家合作网络

Figure 6. National cooperation network

下载: 全尺寸图片幻灯片

图 7 关键词共现（左）及聚类（右）分析

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

下载: 全尺寸图片幻灯片

图 8 高频突现关键词

Figure 8. High frequency emergent keywords

下载: 全尺寸图片幻灯片

图 9 文献共被引（左）及聚类（右）分析

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

下载: 全尺寸图片幻灯片

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 Chen	37	0
Patrice D Cani	33	0
Tom Van De Wiele	30	0.01
Hao Zhang	27	0
Miguel Gueimonde	27	0
Jianxin Zhao	24	0.01
Willem M De Vos	24	0.01
Abelardo Margolles	23	0.01
Nathalie M Delzenne	21	0.01
Clara G De Los Reyesgavilan	20	0
Glenn R Gibson	19	0.01
Douwe Van Sinderen	19	0.02
Bin Liu	17	0
Jing Wang	15	0
Catherine Stanton	15	0
John F Cryan	15	0.01
Seppo Salminen	15	0.02
Jeffrey I Gordon	14	0
Borja Sanchez	14	0
Cristina Andreslacueva	13	0

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 Sci	129	0.06
Univ Copenhagen	112	0.04
CSIC	102	0.05
Univ Illinois	97	0.04
Univ Calif Davis	96	0.06
Univ Ghent	76	0.05
INRA	73	0.08
China Agr Univ	70	0.03
Univ Chinese Acad Sci	69	0.01
Univ Helsinki	66	0.05
Univ Alberta	65	0.05
Harvard Med Sch	61	0.02
Zhejiang Univ	60	0.04
Chinese Acad Agr Sci	60	0.05
Univ Bologna	60	0.07
Univ Coll Cork	59	0.01
Univ Reading	57	0.07
Jiangnan Univ	55	0.01
Univ Naples Federico II	55	0.04
Univ Sao Paulo	53	0.03

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
USA	1824	0.56
China	1567	0.04
Italy	618	0.08
Spain	506	0.07
France	473	0.14
England	406	0.17
Germany	398	0.14
Canada	373	0.1
Australia	344	0.02
Netherlands	297	0.03
Japan	286	0.05
Brazil	283	0.03
India	214	0.03
Belgium	205	0.04
South Korea	194	0.02
Sweden	192	0.08
Poland	180	0.01
Denmark	175	0.12
Switzerland	174	0.11
Ireland	160	0.02

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 microbiota	1847	0.01
Diet	703	0
Intestinal microbiota	635	0.05
Chain fatty acid	609	0.02
Bacteria	573	0.01
Health	534	0
Food	530	0.03
Microbiota	521	0
Diversity	502	0.01
Metabolism	483	0.01
In vitro fermentation	466	0.02
Obesity	457	0.02
Inflammation	426	0.01
Impact	325	0
Double blind	316	0.1
Lactic acid bacteria	314	0.05
Probiotics	296	0
Disease	296	0.05
Gut	295	0.01
Expression	291	0.02

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
0	Diet	0.887	51
1	Escherichia coli	0.885	49
2	Crohns disease	0.932	47
3	Irritable bowel syndrome	0.915	42
4	Chain fatty acid	0.891	40
5	Regulatory T cell	0.922	40
6	Tmao	0.974	39
7	Prebiotics	0.946	38
8	Food intake	0.921	36
9	Oxidative stress	0.942	35
10	Survival	0.861	35
11	Food	0.938	34
12	Gastrointestinal tract	0.914	33
13	Microbial translocation	0.816	32
14	Bariatric surgery	0.867	32
15	Disease	0.928	31
16	Diversity	0.835	31
17	Induction	0.907	31
18	Identification	0.869	30
19	Obesity	0.866	30
20	Nf kappa b	0.873	27
21	Cardiovascular disease	0.889	24

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]	361	0.08
Koh^[32]	199	0.01
Gibson^[33]	197	0.04
Callahan^[34]	180	0.02
Yatsunenko^[35]	168	0.04
Wu^[36]	150	0.18
Desai^[37]	138	0.01
Chassaing^[38]	132	0.03
Qin^[39]	127	0.01
Sonnenburg^[40]	127	0.06
De^[41]	125	0
Rios-covian^[42]	125	0.02
Hill^[43]	123	0.02
Morrison^[44]	121	0
Tremaroli^[45]	120	0.01
Singh^[46]	117	0.02
Arumugam^[47]	114	0.01
Makki K^[48]	114	0.02
Bolyen^[49]	113	0.02
De^[50]	109	0.02

下载: 导出CSV

参考文献(50)

[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