key: cord-0752845-ak5p4hg6
authors: Yuan, Xingzhu; Chang, Chengting; Chen, Xinrong; Li, Ka
title: Emerging trends and focus of human gastrointestinal microbiome research from 2010–2021: a visualized study
date: 2021-07-31
journal: J Transl Med
DOI: 10.1186/s12967-021-03009-8
sha: 5ee6e322d2855cd5eedec151da9441651a83c997
doc_id: 752845
cord_uid: ak5p4hg6

BACKGROUND: The gastrointestinal microbiome is an important component of the human body and is closely related to human health and disease. This study describes the hotspots of the human gastrointestinal microbiome research and its evolution in the past decade, evaluates the scientific cooperation network, and finally predicts the field’s future development trend using bibliometric analysis and a visualized study. METHODS: We searched the original articles from January 2010 to February 2021 in the Scopus database using the term “gastrointestinal microbiome” and its synonyms. CiteSpace was used to construct country and author co-occurrence map; conduct journal, citation cocitation analysis, and reference co-citation knowledge map; and form a keywords co-occurrence map, a clustering knowledge map, timeline view of keywords, and burst term map. RESULT: A total of 4444 documents published from January 2010 to February 2021 were analysed. In approximately the past decade, the number of articles on the human gastrointestinal microbiome has increased rapidly, and the research topics focus on different populations, research methods, and detection methods. All countries and regions in the world, led by the US, are studying the human gastrointestinal microbiome, and many research teams with close cooperation have been formed. The research has been published extensively in microbiology journals and clinical medicine journals, and the highly cited articles mainly describe the relationship between gastrointestinal microorganisms and human health and disease. Regarding the research emphasis, researchers' exploration of the human gastrointestinal microbiome (2011–2013) was at a relatively macro and superficial stage and sought to determine how the gastrointestinal microbiome relates to humans. From 2014 to 2017, increasingly more studies were conducted to determine the interaction between human gastrointestinal flora and various organs and systems. In addition, researchers (2018–2021) focused on the gastrointestinal microbial community and the diversity of certain types of microbes. CONCLUSION: Over time, the scope of the research on the clinical uses of the gastrointestinal microbiome gradually increased, and the contents were gradually deepened and developed towards a more precise level. The study of the human gastrointestinal microbiome is an ongoing research hotspot and contributes to human health.

human body [1] . The human gastrointestinal (GI) tract harbours the highest density and complexity of microbial organisms in the body [2] , and the gastrointestinal microbiota has a level of complexity comparable to that of an organ system [3] . A key role of the gastrointestinal microbiome in the establishment and maintenance of health, as well as in the pathogenesis of diseases, has been identified over the past two decades [4] . In addition, the relationship between the gastrointestinal microbiome and populations with different ages and genders has been gradually revealed [5, 6] . An increasing number of gastrointestinal microbiome detection methods, such as Polymerase Chain Reaction (PCR) or Fluorescence in situ hybridization (FISH), have also emerged [7, 8] . Importantly, the microbiome (including bacteria, viruses, fungi, etc.) regulates health, and its alterations can contribute to disease [9] . A large number of systematic reviews and meta-analyses have shown that gastrointestinal microorganisms are interrelated with inflammatory bowel disease (IBD), irritable bowel syndrome (IBS), diabetes, hepatitis, and autism in humans [10] [11] [12] [13] [14] . For example, IBS can disturb the intestinal microecology, which may continue to aggravate IBS. Conversely, the improvement of the intestinal microecology using probiotics and other means may be conducive to the alleviation of the symptoms of IBS [15] [16] [17] . However, most research on the gastrointestinal microbiome is still in the stage of animal experiments, and the results of animal studies cannot be directly applied to humans. For instance, bidirectional microbiota-gut-brain communication has mostly been explored in animal models with human research lagging [18] . Characterizing the structure of knowledge, the evolution of research topics, and the emergence of topics have always been an important part of information science (IS) [19] . Bibliometric analysis is an important tool in assessing the research activity and research trends on a particular topic, as well as the most prominent research trends, for future research. A knowledge map, visualizing the connections between complex silos of information, is one way to accurately capture and display disparate pieces of information [20] . Moreover, key researchers, countries, and collaboration networks between leading research groups can be identified [21, 22] . However, previous bibliometric analysis or visualized study of the gastrointestinal microbiome did not exclude animal experiments, and the articles related to the human gastrointestinal microbiome were not analyzed separately. Such research could not describe how well the gastrointestinal microbiome works in humans. Therefore, it is necessary to conduct systematic, intuitive, and scientific bibliometric analysis and visualized study of the growing number of original research articles on the human gastrointestinal microbiome.

This study aims to visualize articles on the human gastrointestinal microbiome in the last ten years by using knowledge maps. We described the research hotspots of the human gastrointestinal microbiome and its evolution in the past decade, evaluated the scientific cooperation network, discussed the relationship between humans and gastrointestinal microbiomes, and predicted the field's future development trend.

The literature data used in this study were downloaded from the Scopus database, which is widely accepted among researchers conducting high-quality bibliometric analyses [23] [24] [25] [26] . We used "gastrointestinal microbiome" for topical retrieval and the following search queries in titles, abstracts, and keywords: (gastrointestinal AND microbiome), (gut AND microbiota), (gut AND flora), (intestinal AND microbial AND population), (intestinal AND microecology), (enteric AND microorganism), (gut AND microecology), and (intestinal AND microorganism). In addition, the time was defined as "2010-2021" without any language limitation. The above keywords were chosen from a list of Medical Subject Headings (MeSHs) provided by the National Library of Medicine (NLM)/PubMed. The literature type was defined as "articles". Studies in the subject areas of veterinary, poultry science, soil biology, dentistry, engineering, material science, animal experiments, in vitro cell culture experiments, and secondary studies were excluded.

CiteSpace (Chaomei Chen, China), a freely available software tool for analysis, was used to make visualization maps in this study. Developed by Chaomei Chen in 2004 at Drexel University (USA), CiteSpace is usually used to analyze, detect and visualize trends and patterns in scientific literature [27] . The principle of the software includes coword analysis used to measure the number of occurrences of a group of words (keywords, authors, regions, and citations) in the same group of literature and to perform matrix analysis [28] . In this paper, we use CiteSpace 5.5.R2 to construct country and author co-occurrence map; conduct journal, citation cocitation analysis, and reference co-citation knowledge map; and form a keywords co-occurrence map, a clustering knowledge map, timeline view of keywords, and burst term map.

Overall, 4444 documents published from January 2010 to February 2021 were analysed. The number of annual documents during this period showed an exponential growth trend (y = 83.518e0.172x, R2 = 0.4625). The specific numbers of annual documents are shown in Fig. 1 .

A total of 1255 journals published the 4444 articles on the human gastrointestinal microbiome. We analyzed the top ten journals that published articles on the human gastrointestinal microbiome (Table 1) , reference co-citation knowledge map (Fig. 5 ) and the details of the top ten articles with the most citations on the human gastrointestinal microbiome in the last ten years ( Table 2) .

Six of the top 10 journals specialize in microbiology: two are general medicine journals, and the rest are gut and nutrition journals. Most of these journals are of good quality and are European and American journals.

An overview of the 427 top-cited articles among the 1,13,598 articles in the human gastrointestinal microbiome literature and the details of the ten most cited articles on the human gastrointestinal microbiome are summarized in Table 2 . The size of a node represents the number of times the corresponding article has been cited in the dataset.

The highly cited articles on the human gastrointestinal microbiome have been published in top journals such as Nature and Science. The topics of these literatures include the relationship between the human gastrointestinal microbiome and diet, diabetes, human health and metabolism, and microbiome analysis methods.

The articles were imported into CiteSpace, and the keywords were set as nodes. Through a series of software operations, the keyword co-occurrence knowledge map (Fig. 6 ), clustering knowledge map (Fig. 7) , timeline view of keywords ( Fig. 8) , and keyword burst term map ( Fig. 9 ) were obtained. The keyword co-occurrence knowledge map ( Fig. 6 ) contains 165 nodes and 270 lines, and the centrality is 0.02. The landmark nodes that are larger include human, intestinal flora, female, male, adult, and controlled study. They represent the most critical components of the human gastrointestinal microbiome field. The turning points with more connections include adults, microbiology, middle-aged, faecal, RNA 16, child, infant, and Bifidobacterium, indicating that they had higher centrality in the domain and were associated with more keywords.

There were 11 clustering patterns in the research field of the human gastrointestinal microbiome, which are shown in the keyword clustering knowledge map (Fig. 7 ). In addition, the top 20 most typical labels in each cluster are shown in Table 3 .

By combining the keyword clustering knowledge map ( Fig. 7) , timeline view (Fig. 8) , and keyword burst map ( Fig. 9 ), we found the evolutionary path of research hotspots. Amoxicillin treatment, vocabulary related to RCTs, the intestines, the gastrointestinal tract, lactobacillus, Escherichia coli, DNA, probiotics host gene regulation, and the metagenome began to attract attention in the early years (2010-2013). The middle stage (2014-2017) focused on microflora, complications, chemistry, newborns, normal humans, on-chronic liver failure, Japanese female patients, autism spectrum disorder, gastric cancer, and HIV-infected patients. In addition, in recent years (2018-2021), researchers have been interested in metagenomics, microbial communities, microbial diversity, inflammation, and other aspects.

The annual number of articles on the human gastrointestinal microbiome shows exponential growth ( Fig. 1) , indicating that this field is a research hotspot, and its popularity will continue to increase. This is consistent with previous studies [23, 39] . Researchers should give continuous attention to trends in related fields to uncover more connections between humans and the gastrointestinal microbiome. All countries and regions in the world have studied the human The author co-occurrence knowledge map of the human gastrointestinal microbiome during 2010-2021. The connection between nodes represents the cooperation between authors, and the width of the connection represents the strength of cooperation. The color of the connection represents the author's first cooperation time. After the network is generated, the author's cooperation will form several natural clusters. The author cooperation within the cluster is close, and the author cooperation between each class is less [28] ( (Table 2 ) to help them understand the important findings in the field.

Compared with previous bibliometrics and visualized studies on the gastrointestinal microbiome that did not exclude animal studies, these studies on the human gastrointestinal microbiome mainly focus on the following aspects [23, 39] . As shown in the keyword co-occurrence knowledge map (Fig. 6) , the larger landmark nodes can be divided into three categories: population, research methods, and detection methods. A large number of studies have been conducted on the relationship between age (newborn [45] , infant [46] , child [47] , teenager [48] , adult [49] , middle aged [50] and aged [51] ), gender (male [52] and female [53] ) and population groups and gastrointestinal microorganisms. This may be related to researchers finding that the gastrointestinal floras of different populations are significantly different, which requires classification to further study the topic. Additionally, various research methods have been used to study this field. Experimental studies often include the effects of probiotics [54] , faecal microbiota transplantation [55] , Chinese medicine [56] , and antibiotic therapy [57, 58] on the human gastrointestinal microbiome. Observational studies often include interactions between the gastrointestinal microbiome and various human diseases such as obesity [59] , diabetes [60] , and irritable bowel syndrome [61] . In addition, there are a variety of molecular biology technologies that have been used for gastrointestinal microbiome research. These technologies mainly include the following methods: bacterial culture technology based on molecular biotechnology, polymerase chain reaction (PCR), fluorescent in situ hybridization (FISH) [8] , gene chips [62] , and metagenome sequencing [63] , and it is more popular to establish a gene bank of the gastrointestinal microbiome [64] . Each technology has advantages and disadvantages, and researchers can select the technologies suitable for their purposes. As for research emphases, researchers' exploration of the human gastrointestinal microbiome from 2010 to 2013 was at a relatively macro and superficial stage. Researchers have sought to determine how the gastrointestinal microbiome relates to humans. In 2011, one study combined 22 newly sequenced faecal metagenomes of individuals from four countries with previously published data sets to identify three robust clusters (referred to as enterotypes), which attracted intense attention at the time [32] . But since then, the discussion of enterotype has become less and less popular. Every year, a small number of studies look at the relationship between human enterotype and diet [33, 65] , feces [66] , human population [67] , obesity [68] , etc. Some researchers have suggested that grouping the microbiota of individual subjects into enterotypes, based on the dominance of certain genera may have oversimplified a complex situation [69] .

Researchers have also explored the link between human gastrointestinal flora and certain diseases (such as type 2 diabetes, autism, obesity, irritable bowel syndrome, etc.) at this stage [70] [71] [72] and the relationship between Lactobacillus and human gastrointestinal flora [73] [74] [75] .

In addition, a series of randomized controlled trials on the human gastrointestinal flora began to emerge at this stage [76] [77] [78] [79] [80] . The effect of antibiotics on human gastrointestinal flora was also a research hotspot during this period [81, 82] . From 2014 to 2017, increasingly more studies were conducted to determine the interaction between human gastrointestinal flora and various organs and systems (such as liver cirrhosis, Parkinson's disease, rheumatoid arthritis, etc.) [83] [84] [85] . For instance, Francesco's research suggested that the gut mycobiota contributed to the alteration of the intestinal microbial community structure in ASDs, which made it possible to develop new potential intervention strategies aimed at the relief of gastrointestinal symptoms in ASDs [86] . Dillon's study suggested that an important relationship existed between altered mucosal bacterial communities and intestinal inflammation during chronic HIV-1 infection [87] . Moreover, the relationship between diet and human gastrointestinal flora is a research hotspot during this period [30, 88, 89] . From 2018 to 2021, researchers shifted their focus from certain types of gastrointestinal bacteria to the gastrointestinal microbial community [90] and microbial diversity [90] . Studies [91, 92] on the effects of the gastrointestinal microbiome and its metabolites on inflammation [93] and immunology [94] and their application as biomarkers [95] at the molecular level have also gradually become hotspots.

It is worth noting that researchers are often inspired by animal experiments to explore the mechanisms of diseases caused by the gastrointestinal microbiome and modify the gastrointestinal microbiome to treat disease; then, they judge the feasibility and safety of treatment methods [96] . However, human research has lagged behind animal models, and applying the results of animal experiments to humans requires more rigorous experiments and theories [18, 97] . At present, theories such as microbiota-gut-brain communication [98] , gut-lung axis [99, 100] , and enterohepatic circulation [101] can explain parts of the relationship between the gastrointestinal microbiome and various human organs and systems, but it is not yet completely clear. With the development of new technologies, such as omics and sequencing, the detection of the gastrointestinal microbiome has become more accurate. Big data also makes it possible to conduct comprehensive artificial intelligence research on multicentre, multidisease, and human gastrointestinal microbiome databases. Future research needs to be based on previous research results, combined with emerging technologies, and explore the relationship between gastrointestinal flora and humans at the molecular mechanism level to improve health. There are some limitations to this study. In this study, only articles in the Scopus database were retrieved. Although using the Scopus database to conduct highquality bibliometric analyses is widely accepted by researchers, it is still possible that some studies related to the human gastrointestinal microbiome have not been included, which may change the results of the study. This study examined only the last ten years of research on the human gastrointestinal microbiome, which may miss the development process of the human gastrointestinal microbiome from the start.

In this study, 4444 original studies from January 2010 to February 2021 related to the human gastrointestinal microbiome were downloaded from the Scopus database and analyzed using CiteSpace to generate knowledge maps. The number of articles on the human gastrointestinal microbiome has increased rapidly in the past decade, and the scientific cooperation network showed that cooperation between different countries and institutions has been sufficient. The research topics focus on different populations, research methods, and detection methods. In addition, the research scope has gradually increased over time, and the research content has been gradually deeper and moving towards precision medicine. In short, the study of the human gastrointestinal microbiome is an ongoing research hotspot and contributes to human health. 

Guarantor of the article: LK. LK conceived the study and performed critical revision of manuscript. YX designed the study, performed statistical analyses and drafted the manuscript. CC designed the study and wrote the manuscript. CX performed the article retrieval, data interpretation and provided supervision. All authors read and approved the final manuscript.

This work was supported by the Key research and development project of Science & Technology Department of Sichuan Province (No. 2021YFS0022). The funder had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Not applicable. HIV-infected patient; inflammatory bowel diseases; prognostic microbial biomarker; healthy middle-aged subject; randomised cross-over study; 3-d intervention; gut hormone; insulin sensitivity index; kernel-based product; gastrointestinal mucosa; spontaneous hiv controller; peripheral blood; intestinal microbiota correlate; bifidobacterium breve; mucosal-associated invariant t cell alteration; diabetic patient; combined antiretroviral therapy; lactobacillus population; metabolic interplay; new insight #10 Amoxicillin treatment; bifidobacterium species; molecular characterisation; type ii diabete; microbial ecology; synbiotic food; metabolic profile; bacterial dna; helicobacter species; common gut; molecular analysis; mucosal bacterial communities; pediatric inflammatory bowel disease; intestinal microbiota; tetracycline resistance gene; probiotic lactobacillus reuteri; using 16 s sequence tag; pyrosequencing method; characterizing bacterial communities; faecal microbiota #11 Polycystic ovary syndrome; population-based study; varied weight classification; cross-sectional comparison; fatty acid level; arabinoxylan oligosaccharide; metabolic marker; cross-over trial; fatty acid effect; overweight individual; intrinsic factor; early adolescent; shaping gut microbiota composition; viral dysbiosis; colon cancer development; obesity-related gut; fecal metabolomics; pubertal status; specific gut microbiota; intestinal tricarboxylic acid cycle intermediate; underweight status; healthy pre-obese subject

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