Quantitative Analysis of Food and Gut Microbiota Based on CiteSpace

WU Yuling; MA Yuchen; DENG Huxue; FU Caili; LI Zhanming

doi:10.13386/j.issn1002-0306.2022030235

Volume 43 Issue 23

Nov. 2022

Turn off MathJax

Article Contents

Abstract

References

Science and Technology of Food Industry > 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:

PDF (5236 KB)

Quantitative Analysis of Food and Gut Microbiota Based on CiteSpace

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

More Information

Received Date: March 20, 2022
Available Online: October 05, 2022

Graphical Abstract

Abstract

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

FullText(HTML)

References (50)

References

[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

Supplements (0)

Cited By

Cited by

Periodical cited type(6)

1.	江英杰，李明昊，罗开沛，杨露. 石斛多糖的药理作用及现代应用进展. 中药与临床. 2024(01): 97-102 .
2.	李祥坤，曾亦菡. 响应面优化霍山石斛百香果复合饮料工艺及抗运动疲劳研究. 中国食品添加剂. 2023(01): 272-281 .
3.	王再花，叶广英，曾灿彪，叶庆生，黄秀红. 铁皮石斛饮料杀菌工艺研制及品质分析. 中国农学通报. 2023(16): 124-130 .
4.	赵健，周忠光，黄家鹏，林春盛，宫铭海，杨波. 药食同源中草药在防治认知功能障碍中的应用及作用机制研究进展. 医学综述. 2022(08): 1598-1605 .
5.	赵云龙. 芜菁山楂复合饮料配方优化及其对运动耐力的影响. 食品工业科技. 2022(14): 401-408 . 本站查看
6.	赵静. 运动疲劳机制及食源性抗疲劳活性成分研究进展. 食品安全质量检测学报. 2021(09): 3565-3571 .