Abstract
Background
Inflammatory bowel disease (IBD) is a continuously increasing and worldwide disease, and the number of publications of IBD has been expanding in the past 10 years. The purpose of this study is to analyze the published articles of IBD in the past decade via machine learning and text analysis and get a more comprehensive understanding of the research trends and changes in IBD in the past 10 years.
Method
In November 2021, we downloaded the published articles related to IBD in PubMed for the past 10 years (2012–2021). We utilized Python to extract the title, publication date, MeSH terms, and abstract from the metadata of each publication for bibliometric assessment. Latent Dirichlet allocation (LDA) was used to the abstracts to identify publications' research topics with greater specificity.
Result
We finally identified and analyzed 34,458 publications in total. We found that publications in the last 10 years were mainly focused on treatment and mechanism. Among them, publications on biological agents and Gastrointestinal Microbiome have a significant advantage in terms of volume and rate of publications. In addition, publications related to IBD and coronavirus disease 2019 (COVID-19) have increased sharply since the outbreak of the worldwide pandemic caused by novel β-coronavirus in 2019. However, researchers seem to pay less attention to the nutritional and psychological status of patients with IBD.
Conclusion
IBD is still a worldwide disease of concern with the publication of IBD-related research has expanded continuously over the past decade. More research related nutritional and psychological status of patients with IBD is needed in the future. Besides, it is worth noting that the management of chronic diseases such as IBD required additional attention during an infectious disease epidemic.
Keywords: inflammatory bowel disease, bibliometric, machine learning, publication analysis, coronavirus disease 2019
Introduction
Inflammatory bowel disease (IBD), including ulcerative colitis (UC) and Crohn's disease (CD), is a nonspecific chronic inflammatory condition that affects the intestine (1). The incidence has been increasing consistently over the past decades, especially in newly industrialized countries (2), suggesting IBD is a global disease. In China, the incidence of UC has increased nearly threefold in recent years (3). Nearly half of IBD patients require hospitalization during the disease course, and 10–20% of patients undergo surgery during follow-up (4–6). Due to its chronic recurrent nature, the acute phase severely affects the life treatment and work efficiency of IBD patients. In addition, nearly 1.5% of UC patients develop colon cancer after 15 years of follow-up (4). However, the pathogenesis is still unclear, and it is thought to develop through complicated interactions between environmental, microbial, immune and genetic factors (7). The evolution of IBD can be divided into 4 stages: emergence, acceleration in incidence, compounding prevalence and prevalence equilibrium. Different stages will face different problems and challenges (8). Currently, the main treatment strategies are classified as step-up and top-down, and with the emergence of an increasing number of immunosuppressive and biological agents, the rational choice of treatment remains an issue of concern (9). Therefore, the pathogenesis, diagnosis and treatment of the disease still require further research.
Understanding the current research in the area of IBD helps us to grasp research in the present and points to the directions of our future research. Bibliometrics, using mathematical and statistical methods, are often referred to quantitatively analyze academic literature. Currently, bibliometric methods have been used to investigate the field of IBD, but all these studies have some shortcomings. For example, Chen et al. analyzed only the 100 most cited articles on IBD (10). Chong et al. performed an analysis only for IBD stem cell therapy (11). Weintraub et al. showed an analysis of the literature on IBD from 1993 to 2011 (12). Remarkably, the panorama of IBD-related research in the last ten years is ill-defined.
Natural language processing (NLP) is a computational technique utilized to analyze bibliometric research (13), and it has been effectively used to analyze research profiles in the field of cancer rehabilitation and glioma (14, 15). Our study aims to conduct a comprehensive exploration of the literature on IBD in the last 10 years based on the PubMed database via data analysis and natural language processing methods. This paper points out the hotspots in previous and current studies, presents future research opportunities for researchers and funding agencies, and is aware of the current research bias.
Method
The methodology used in this study continues to follow previous studies (14, 15). We downloaded all publications indexed under the Mesh term “Inflammatory Bowel Disease.” From the public version of PubMed in November 2021, limited by publication data from 2012 to 2021. The full record of the search results was downloaded in XML format, extracting metadata from the original XML file. The extracted metadata included the title, abstract, keywords, MeSH words and year of publication for each article.
To identify the research topics in each article more specifically, we used the most classic topic modeling method (16, 17), named latent Dirichlet allocation (LDA), to distinguish discrete topics in a large number of unstructured texts and create its own feature glossary based on the frequency of terms appearing in a document set. Specifically, in the LDA, each topic is modeled as an infinite mixture of a set of base topic probabilities. Once the glossary was invented, the topic with the highest probability is defined as the main topic of each article by analyzing the abstract of the article based on the topic probability calculated by the algorithm.
In our study, we set the number of identified topics to 30, and the process refers to Supplementary Material. By analyzing the article abstracts, the topic with the highest probability calculated by the algorithm was defined as the main topic of each article. We finally performed 30 topics by manually checking based on abstract and MeSH terms and combining them with article abstracts. Then, we used the Louvain algorithm for cluster analysis and building a topic network so that we could find the relationships between topics and establish communities of related topics. For each article, we noted the two topics with the highest probability of their attribution, counted the frequency of each topic in each document, and linked the topics.
All relevant Python and R language codes can be found in the cited literature, and the original publication dataset was uploaded and stored to Zenodo (https://doi.org/10.5281/zenodo.6419975). All descriptive statistics are reported as the mean ± standard deviation. The network visualization in the article was performed using Excel and Gephi (https://gephi.org/). This article is a bibliometric analysis and does not require institutional review board or ethics committee approval.
Result
The search reported 34,458 publications in total, including 30,178 Journal Articles, 6,904 Reviews, 3,558 Case Reports and 393 Clinical Trials. As shown in Figure 1, the number of publications per year from 2012 to 2021 showed a slow upward trend, with an average of 3,445.8 research papers related to IBD published per year. We found a decrease in the number of articles published in 2021, which may be related to the delay in indexing on the one hand and to the fact that 2021 is not yet over, rather than the decrease in the number of ongoing studies or publications.
MeSH Analysis
We removed disease-specific words (e.g., inflammatory bowel disease, ulcerative colitis, Crohn's disease) and instrument-specific words (such as Magnetic Resonance Imaging, Immunohistochemistry) from the MeSH terms.
Table 1 shows the top 20 MeSH terms that appeared in the retrieved articles that were thematically relevant. The most frequently occurring terms include Treatment Outcome, Intestinal Mucosa, Risk Factors, Tumor Necrosis Factor-alpha, and Infliximab. Figure 2 exhibits the annual relevant publications coverage for different age groups over the last 10 years. We divided eight age groups: infants (2–3 months of age), preschoolers (2–5 years), children (6–12 years), adolescents (13–18 years), adults (19–44 years), middle-aged adults (45–64 years), aged adults (65–80 years) and older adults (80 years and above). Articles dealing with more than one age group are included in the total number of publications for all corresponding age groups. Overall, the adult and middle-aged groups hold the most prominent status among the publications covered in this study, followed by the adolescent group.
Table 1.
Rank | MeSH term | Record of occurrence in publications |
---|---|---|
1 | Treatment outcome | 4,410 |
2 | Intestinal mucosa | 3,562 |
3 | Risk factors | 3,142 |
4 | Tumor necrosis factor-alpha | 2,967 |
5 | Infliximab | 2,770 |
6 | Severity of illness index | 2,713 |
7 | Mice | 2,704 |
8 | Gastrointestinal agents | 2,273 |
9 | Immunosuppressive agents | 2,228 |
10 | Biomarkers | 2,197 |
11 | Anti-inflammatory agents | 2,157 |
12 | Disease models, animal | 1,858 |
13 | Inflammation | 1,837 |
14 | Prognosis | 1,799 |
15 | Antibodies, monoclonal | 1,783 |
16 | Colonoscopy | 1,741 |
17 | Feces | 1,573 |
18 | Gastrointestinal microbiome | 1,477 |
19 | Time factors | 1,393 |
20 | Adalimumab | 1,389 |
We conducted a literature publication subject term analysis of the MeSH terms of publications every 2 years for the 10 years from 2012-2021.
Table 2 shows the top 15 popular terms every 2 years during the last 10 years. We noticed that Treatment Outcome, Intestinal Mucosa, Risk Factors, Tumor Necrosis Factor-alpha, Infliximab, Anti-Inflammatory Agents, Mice, and Biomarkers consistently appear in the top 15 research hotspots in the past decade. Treatment Outcome, Intestinal Mucosa and Risk Factors were ranked in the top 5. Antibodies, Monoclonal, Immunosuppressive Agents and Prognosis decrease people interest gradually until they disappeared in the last 2 years. In addition, Gastrointestinal Agents, Gastrointestinal Microbiome, Disease Models, Animal, and Inflammation have attracted huge attention in the past 6 years, while it is worth noting that Gastrointestinal Microbiome has been soaring up to the top 5 topics these 2 years. Some topics that appear in the top 15 in only one 2-year period, such as Time Factors, Genetic Predisposition to Disease, Colonoscopy, Feces, Remission Induction, Anti-Inflammatory Agents, Non-Steroidal, COVID-19, and SARS-CoV-2. Notably, the number of articles on the themes of COVID-19 and SARS-CoV-2 appeared since 2019 and have increased dramatically over the past 2 years.
Table 2.
Rank | 2012–2013 | 2014–2015 | 2016–2017 | 2018–2019 | 2020–2021 |
---|---|---|---|---|---|
1 | Treatment outcome | Animals | Treatment outcome | Treatment outcome | Treatment outcome |
2 | Antibodies, monoclonal | Treatment outcome | Intestinal mucosa | Intestinal mucosa | Intestinal mucosa |
3 | Intestinal mucosa | Risk factors | Risk factors | Mice | Mice |
4 | Risk factors | Intestinal mucosa | Tumor necrosis factor-alpha | Tumor necrosis factor-alpha | Gastrointestinal microbiome |
5 | Immunosuppressive agents | Tumor necrosis factor-alpha | Infliximab | Risk factors | Infliximab |
6 | Tumor necrosis factor-alpha | Severity of illness index | Severity of illness index | Gastrointestinal agents | Risk factors |
7 | Infliximab | Immunosuppressive agents | Gastrointestinal agents | Severity of illness index | Severity of illness index |
8 | Anti-inflammatory agents | Infliximab | Mice | Infliximab | Disease models, animal |
9 | Severity of illness index | Antibodies, monoclonal | Biomarkers | Biomarkers | Inflammation |
10 | Prognosis | Anti-inflammatory agents | Immunosuppressive agents | Disease models, animal | Tumor necrosis factor-alpha |
11 | Mice | Prognosis | Anti-inflammatory agents | Gastrointestinal microbiome | Biomarkers |
12 | Anti-inflammatory agents, non-steroidal | Gastrointestinal agents | Colonoscopy | Inflammation | COVID-19 |
13 | Biomarkers | Mice | Gastrointestinal microbiome | Anti-inflammatory agents | Gastrointestinal agents |
14 | Antibodies, monoclonal, humanized | Biomarkers | Feces | Prognosis | Anti-inflammatory agents |
15 | Genetic predisposition to disease | Time factors | Remission induction | Immunosuppressive agents | SARS-CoV-2 |
Similarly, we ranked the MeSH terms related to the treatment of IBD in the literature over time (Table 3). Articles on Immunosuppressive Agents, Gastrointestinal Agents, Infliximab, Anti-Inflammatory Agents, Remission Induction and Adalimumab appear among the top 10 topic in every 2-year period. Among them, Infliximab and Anti-Inflammatory Agents have been ranked in the top 5, meanwhile Gastrointestinal Agents and Remission Induction have gained more and more attention. Besides, the Mesh term of Postoperative Complications is almost always a hot topic of concern. In addition, the topics of Anti-Inflammatory Agents and Non-Steroidal were of high concern for the first 4 years and then disappeared out of the top 10. In turn, literature on the theme of colectomy appeared in the top 10 hotspots in the past 8 years. Of interest, we found that the number of publications with MeSH terms of Tumor Necrosis Factor Inhibitors jumped to the top 10.
Table 3.
Rank | 2012–2013 | 2014–2015 | 2016–2017 | 2018–2019 | 2020–2021 |
---|---|---|---|---|---|
1 | Antibodies, monoclonal | Immunosuppressive agents | Infliximab | Gastrointestinal agents | Infliximab |
2 | Immunosuppressive agents | Infliximab | Gastrointestinal agents | Infliximab | Gastrointestinal agents |
3 | Infliximab | Antibodies, monoclonal | Immunosuppressive agents | Anti-inflammatory agents | Anti-inflammatory agents |
4 | Anti-inflammatory agents | Anti-inflammatory agents | Anti-inflammatory agents | Immunosuppressive agents | Remission induction |
5 | Anti-inflammatory agents, non-steroidal | Gastrointestinal agents | Remission induction | Remission induction | Tumor necrosis factor inhibitors |
6 | Antibodies, monoclonal, humanized | Anti-inflammatory agents, non-steroidal | Adalimumab | Antibodies, monoclonal, humanized | Immunosuppressive agents |
7 | Gastrointestinal agents | Remission induction | Colectomy | Adalimumab | Adalimumab |
8 | Remission induction | Antibodies, monoclonal, humanized | Antibodies, monoclonal | Colectomy | Antibodies, monoclonal, humanized |
9 | Postoperative complications | Adalimumab | Postoperative complications | Postoperative complications | Postoperative complications |
10 | Adalimumab | Colectomy | Antibodies, monoclonal, humanized | Antibodies, monoclonal | Colectomy |
Figure 3 reveals that there are fewer MeSH terms on assessment of nutritional status and psychological assessment, such as Diet, Dietary Supplements, Vitamin D Deficiency, Anemia, Iron-Deficiency, Depression, Anxiety and Stress, Psychological compared to the large number of Treatment Outcome and Risk Factors.
Latent Dirichlet Allocation Analysis
LDA themes derived from publication abstracts could present more details of high-frequency research themes in the literature. Figure 4 illustrates the top 10 LDA topics with the highest average number of publications per year over the past 10 years. Cytokines expressed by intestinal epithelial cells, Mouse Models of IBD, case reports, postoperative complications and immune mechanisms and pathways are the top five LDA topics in terms of the number of publications. Moreover, cytokines expressed by intestinal epithelial cells, Mouse Models of IBD, Composition and function of the gut microbiota, Guidelines and recommendations and Associated risk factors for IBD-related LDA topics show an overall increasing trend during this decade; among them, Mouse Models of IBD and Composition and function of the gut microbiota increase significantly. However, Case reports and Gene mutations and colorectal cancer risk related LDA themes seem to have a decreasing trend. The remaining topics do not display large fluctuations in the number of published literatures per year.
Network analysis of research topics can perform clusters of topics with high similarity so that we can aggregate the interrelated topics into clusters and provide insight into the connections and strengths between different topics by investigating the network analysis. Three thematic network clusters were identified by the Louvain method (Figure 5). Publications covered in a cluster maenad exhibit a strong intracluster relationship between them. They were grouped into three fields of IBD research: Diagnose and Treatment Cluster, Health Management Cluster and Basic Research. For each theme, the size of the bubble represents the number of related papers. The lines between the bubbles indicate that the two themes use common terms, and the thickness represents the magnitude of the relationship between the themes.
In the Diagnosis and Treatment Cluster, the most popular topics are Case reports, Diagnostic Imaging Tools for IBD, Guidelines and recommendations, Clinical remission and endoscopic remission and Anti-TNF therapy. Strong relationships are seen between Case reports, IBD and risk of autoimmune diseases and Effectiveness of oral medications. Besides, Clinical remission and endoscopic remission showed a tight association between Anti-TNF therapy, Serum blood levels, Clinical and endoscopic scores and Systematic review and meta-analysis.
The top three most studied topics of the Health Management Cluster are Postoperative Complications, Risk factors for IBD and Management of IBD. Conspicuous links can be seen among Postoperative Complications, Risk factors for IBD, Follow-up studies and Perianal fistulas in patients with IBD. Quality of life was strongly associated with Management of IBD.
The Basic Research cluster focuses heavily on Cytokines expressed by intestinal epithelial cells and Mouse Models of IBD. In addition, the number of papers related to the topics of Composition and function of gut microbiota, Immune mechanisms and pathways and Gene mutations and colorectal cancer risk published is close and has almost the same attraction. Noting that obvious associations are seen between Mouse Models of IBD, Cytokines expressed by intestinal epithelial cells and Immune mechanisms and pathways. Furthermore Immune mechanisms and pathways present tight connections with Composition and function of gut microbiota and Gene expressions in colonic mucosa. Gene expressions in colonic mucosa and Cytokines expressed by intestinal epithelial cells are also closely related. Extensive links existed between different clusters. For instance, Case reports connects closly with Primary sclerosing cholangitis & Clostridioides difficile infection and Acute severe ulcerative colitis. Moreover, a strong relationship was found between Guidelines and recommendations and Gene mutations and colorectal cancer risk, Immune mechanisms and pathways.
Discussion
IBD is a chronic, incurable, inflammatory and ulcerative disease of the intestine with low mortality. It was first reported in the Western world (18), and its incidence has been steadily increasing, affecting even 0.6% of the population in Canada. Currently, the prevalence of IBD is also rapidly increasing in developing countries, suggesting that IBD is a global disease. However, for quite a long time, despite the increasing publications of IBD, the actual etiology of IBD remains elusive. Till recent years metagenomics research, high-throughput sequencing and bioinformation analysis technology has begun to emerge in medical research which contributed to the IBD research greatly. More encouragingly, in 2012, the Immunochip project of IBD led by Europe (19) found 163 genetic loci associated with IBD susceptibility, including 110 loci associated with both UC and CD, 30 loci associated only with CD, and 23 loci associated only with UC. This study provided a breakthrough understanding of genetic factors susceptible to IBD and the interactions between host and intestinal microbiomes, which offered a rich source of clues to the pathogenesis mechanisms of IBD. In short, 2012 is a milestone in the development history of IBD. Therefore, we choose 2012 as the start point and analysis the publications of the 10 years from 2012 to 2021.
Our results, showing the constantly increasing number of studies related to IBD, reflect that IBD is still receiving widespread attention. Although the disease occurs in all ages, it is mainly concentrated in adolescence and early adulthood (20), which is consistent with our result. This phenomenon leads to a complex rise in incidence and a serious burden on healthcare and the economy (21). To improve this situation, we should have a better understanding of IBD so that we can take notes on the prevention and treatment of IBD.
Our results reveal that gut flora is a hot topic in IBD-related studies, whether from the trend of MeSH terms or the ranking of LDA topics or thematic network analysis, especially in recent years, flora-related studies have witnessed growth. Together with the improvement of high-throughput sequencing technology, the role of the gut microbiome in the pathogenesis of IBD has received increasing attention, and studies on the mechanism depend on the support and validation of animal models. It is well known that intestinal flora is involved in the pathogenesis of IBD. First, the composition of the intestinal flora in IBD patients is altered. Compared with the healthy population, the diversity of intestinal flora decreases in IBD patients, while it shows an upregulation of Aspergillus and Bacteroides and a downregulation of beneficial bacteria such as Lactobacillus and Bifidobacterium (22). In a study of 40 twin pairs of IBD patients, Willing et al. found a decrease in Faecalibacterium and Roseburia but an increase in Enterobacteriaceae and Ruminococcus gnavus in patients with ilea CD (23). Second, the existence of intestinal flora is necessary for the development of IBD. In mouse model studies, the incidence and severity of intestinal inflammation were significantly reduced in Il10/-, TCRα/-, and Smad3/- mice treated with antibiotics and in germ-free mice (24–26). In population studies, we found that antibiotic treatment can relieve inflammation to some degree. To further understand how the intestinal flora participates in the development of IBD, an increasing number of studies are focusing on the relationship between the gut microbiome and the host. On the one hand, gut flora can influence the host directly; for example, bacteria are recognized by pattern recognition receptors (PRRs), which identify microorganism-associated molecular patterns (MAMPs) and trigger changes in downstream molecules and their function (27). On the other hand, the intestinal flora can also act indirectly on the host via a wide variety of metabolites. The raw materials for these metabolic processes can originate from the host or from the microbiome. Metabolites influence the host through intermediate or end products produced by intestinal flora metabolism and then participate in signal transduction. This ultimately affects the immune system, energy metabolism and mucosal barrier of the organism and participates in the development of IBD (28, 29). The metabolites induced by intestinal flora, including short-chain fatty acids (SCAFs) and bile acids, have been extensively studied. SCFAs, which are produced by flora through metabolism of carbohydrates in the intestine, have been shown to enhance regulatory T cells in the colonic mucosa, promote recovery of immune tolerance, and protect against colonic inflammation and colon cancer (30). Farnesoid X receptor (FXR), a type of bile salt, belongs to the nuclear receptor family. FXR activation inhibits the production of intestinal inflammatory factors and maintains the integrity of the intestinal epithelial barrier (31). Despite the variety of research on the mechanisms of intestinal flora in the development of IBD, it is still inconclusive whether intestinal flora and IBD are directly causal or just associated (32). However, it is undeniable that microbial-based therapy will play an essential role in the future, regardless of whether it provides theoretical support for providing flora transplantation therapy and novel methods for predicting different treatment responses of patients based on flora in the future.
IBD is an immune-mediated disease that is currently treated with 5-aminosalicylic acid, corticosteroids, immunosuppressants, and biological agents (including monoclonal antibody inhibitors of tumor necrosis factor (TNF) alpha and interleukin 12/23, integrins and small molecules such as Janus kinase (JAK) inhibitors.). The aims of the treatments are inducing or maintaining clinical and endoscopic remission and stability. Surgical-surgical interventions are considered when uncontrolled inflammation or severe complications occur. In the analysis of the treatment-related topic Mesh, we found that biologics-related subject headings, among the treatment-related topic Mesh as tumor necrosis factor inhibitors, infliximab (IFX), and adalimumab (ADA) have occupied a place in the top 10 for the last decade. IFX, the earliest anti-TNF-α monoclonal antibody, is a mouse-derived sequence chimeric with a human-derived sequence, followed by the fully humanized monoclonal antibody adalimumab (ADA) and other monoclonal antibodies. Current studies suggest that IFX is effective in inducing remission of CD and maintaining therapeutic effects for a long time (33). In a five-year study, IFX treatment did not increase the incidence of tumors and lymphomas in CD patients but increased the risk of serious infections. ADA has been recognized to induce remission in CD patients who failed IFX treatment and did not upregulate the risk of infection (34–36).
It is noteworthy that coronavirus disease 2019 (COVID-19), which first broke out in Wuhan, China, in December 2019 and rapidly became a worldwide pandemic, is a severe acute respiratory syndrome caused by a novel β-coronavirus. It is currently believed that β-coronavirus causes COVID-19 by infecting lung alveolar and intestinal epithelial cells, where ACE2 is highly expressed, followed by an immune response (37). In the context of the epidemic, IBD, as a special and large group, has received special attention. This phenomenon can also be seen in our results, and the Mesh terms of COVID-19 and SARS-CoV-2 have rapidly become a hot spot of interest since 2019. A recent meta-analysis found that the risk of suffering severe COVID-19 infection in patients with IBD was not higher than that in the general population (38). However, advanced age, ≥2 comorbidities and corticosteroid use were high risk factors for severe complications (ventilator use, intensive care unit admission and death) in patients with IBD infected with COVID-19 (39), which may contribute to the global evolution of IBD (8). Making a choice of treatments for IBD patients is crucial during the COVID-19 epidemic, and until now, reports reviewed that patients treated with corticosteroids and 5-aminosalicylates are at a greater risk for adverse outcomes, whereas the use of biologic agents appears to prevent adverse outcomes in patients (38). Therefore, it is accepted that no change in treatment is needed for patients with stable disease, but surgical operations and endoscopy need to be postponed appropriately (37). Vaccines are an effective means of preventing viral infections in humans, and it is a concern of gastroenterologists whether the benefits of vaccination outweigh the disadvantages for patients with IBD. An Israeli study of 12,109 patients with IBD demonstrated that vaccine efficacy in IBD patients did not differ from that in non-IBD patients and was not affected by TNF-α inhibitors or corticosteroid therapy; meanwhile, vaccination was not associated with IBD exacerbation (40), and a single-center cohort study in Germany also supported these findings (41). However, a study of IBD patients receiving IFX or vedolizumab in adolescents concluded that their natural infections produced lower concentrations and shorter durations of SARS-CoV-2 spike protein receptor binding domain IgG antibodies compared with non-IBD patients, which may lead to an increased risk of reinfection (42). Concomitant use of immunomodulators and IFX was also found to further attenuate the serologic response to SARS-CoV-2 infection in patients, for anti-SARS-CoV-2 antibodies detected in only one-third of patients (43). However, data on vaccination in patients with IBD are limited, and the observation period is still short; more studies and observations are needed for further clarification. Overall, the international consensus published in the GUT recommends that patients with IBD should be vaccinated as soon as the opportunity arises, regardless of whether they are receiving immunotherapy (44).
Although research on IBD is broad, it has mainly concentrated on the exploration of diagnosis, treatment, and mechanisms. However, IBD, as a chronic inflammatory disease of the intestine, causes malnutrition and psychological problems that require more attention. The relevant topics of studies on the nutritional and psychological status of IBD patients in the last 10 years from our results are deficient. The incidence of malnutrition in IBD patients has been reported to be as high as 20–85%, and malnutrition is an important factor in the poor prognosis of IBD patients. Malnutrition in IBD patients mainly manifests as weight loss, anemia, decreased muscle mass, deficiency of multiple micronutrients, low bone mass and osteoporosis (45). Vitamin D, zinc and other micronutrients are now thought to be possibly related to the pathogenesis of IBD (46). Therefore, it is particularly important to pay attention to the nutritional status of patients with IBD and provide appropriate and aggressive supplementation of relevant nutrients. Intestinal inflammation could cause a neuroinflammatory response by affecting inflammatory markers in the blood (47), and neuroinflammation can cause behavioral disturbances similar to those associated with depression or anxiety (48). A survey of 200 patients with IBD found that 27% of patients had anxiety/depression, which was strongly associated with IBD-related disability (49), and in another study, fatigue was found to be associated with poor health-related quality of life, disability and depression but not with disease control (50). The limitations of this part of the study implied that we need to devote more attention to the nutritional status and psychological status of patients in future investigations and clinical therapy.
This research has several limitations. Firstly, although PubMed is one of the world's leading medical resources, it was reported to have indexed predatory journals (51). Other databases, such as web of Science, Scopus, and Embase, should be explored in future bibliometric studies. Secondly, in our analysis, reviews were also included which may affect the findings to some extent. However, reviews are not only the overview of IBD-related research but also the summary of some meta-analysis, which may contain crucial data and reflect the topics that people concerned of IBD. so that we believe it is essential to include review articles. Thirdly, because certain freshly released publications have not yet been indexed by MeSH words, they may not appear in our analysis. And our analysis was organized in November, so the publications of December were not included in our analysis. These are common limitations in published research. Furthermore, because certain freshly released publications have not yet been indexed by MeSH words, they may not appear in our analysis. These are common limitations in published research (15). Finally, artificial intelligence was used to build the LDA themes and their connections in this study, resulting in a machine-driven understanding. In order for medical practitioners to give more effective therapy, a deeper, more complete investigation of these subjects can provide easier interpretation and more accurate outcomes.
Conclusion
IBD is a worldwide disease whose prevalence is still on the rise globally, and the publication of literature related to IBD has been on an upward trend in the last decade. The predominant publications currently centered on IBD but restricted studies on the nutritional and psychological concerns regarding IBD, which demand more in-depth attention. In addition, it is remarkable that the management of IBD patients needs special concern when there is an outbreak or pandemic phase of some infectious disease.
Data Availability Statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.
Author Contributions
KL, CF, YF, and JL were involved in the overall design of the study. KL, CF, and HC were responsible for acquisition, analysis, interpretation of the data, and statistical analysis. KL and CF wrote the manuscript. YF and JL assessed and interpreted the results. All authors have read and approved the published version of the manuscript.
Funding
This work was funded by the Natural Science Foundation of China (Grant Nos. 81370500 and 81170364 to JL) and CAMS Initiative for Innovative Medicine (CAMS-2020-I2M-2-013 to JL).
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher's Note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Supplementary Material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fmed.2022.880553/full#supplementary-material
References
- 1.Glassner KL, Abraham BP, Quigley EMM. The microbiome and inflammatory bowel disease. J Allergy Clin Immunol. (2020) 145:16–27. 10.1016/j.jaci.2019.11.003 [DOI] [PubMed] [Google Scholar]
- 2.Kaplan GG, Bernstein CN, Coward S, Bitton A, Murthy SK, Nguyen GC, et al. The impact of inflammatory bowel disease in Canada 2018: epidemiology. J Can Assoc Gastroenterol. (2019) 2:S6–s16. 10.1093/jcag/gwy054 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Ye L, Cao Q, Cheng J. Review of inflammatory bowel disease in China. ScientificWorldJournal. (2013) 2013:296470. 10.1155/2013/296470 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Fumery M, Singh S, Dulai PS, Gower-Rousseau C, Peyrin-Biroulet L, Sandborn WJ. Natural History of Adult Ulcerative Colitis in Population-based Cohorts: A Systematic Review. Clin Gastroenterol Hepatol. (2018) 16:343–56.e3. 10.1016/j.cgh.2017.06.016 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Fumery M, Duricova D, Gower-Rousseau C, Annese V, Peyrin-Biroulet L, Lakatos PL. Review article: the natural history of paediatric-onset ulcerative colitis in population-based studies. Aliment Pharmacol Ther. (2016) 43:346–55. 10.1111/apt.13478 [DOI] [PubMed] [Google Scholar]
- 6.Cha JM, Park SH, Rhee KH, Hong SN, Kim YH, Seo SI, et al. Long-term prognosis of ulcerative colitis and its temporal changes between 1986 and 2015 in a population-based cohort in the Songpa-Kangdong district of Seoul, Korea. Gut. (2020) 69:1432–40. 10.1136/gutjnl-2019-319699 [DOI] [PubMed] [Google Scholar]
- 7.Molodecky NA, Soon IS, Rabi DM, Ghali WA, Ferris M, Chernoff G, et al. Increasing incidence and prevalence of the inflammatory bowel diseases with time, based on systematic review. Gastroenterology. (2012) 142:46–54.e42; quiz e30. 10.1053/j.gastro.2011.10.001 [DOI] [PubMed] [Google Scholar]
- 8.Kaplan GG, Windsor JW. The four epidemiological stages in the global evolution of inflammatory bowel disease. Nat Rev Gastroenterol Hepatol. (2021) 18:56–66. 10.1038/s41575-020-00360-x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Singh S, Allegretti JR, Siddique SM, Terdiman JP. AGA Technical Review on the Management of Moderate to Severe Ulcerative Colitis. Gastroenterology. (2020) 158, 1465–96.e17. 10.1053/j.gastro.2020.01.007 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Chen X, Yang K, Xu Y, Li K. Top-100 highest-cited original articles in inflammatory bowel disease: a bibliometric analysis. Medicine (Baltimore). (2019) 98:e15718. 10.1097/MD.0000000000015718 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Chong Y, Han C, Li J, Long X. Mapping global research trends in stem cell therapy for inflammatory bowel disease: a bibliometric analysis from 1991 to 2019. J Int Med Res. (2020) 48:300060520965824. 10.1177/0300060520965824 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Weintraub Y, Mimouni FB, Cohen S. Temporal trends in inflammatory bowel disease publications over a 19-years period. World J Gastroenterol. (2014) 20:16745–9. 10.3748/wjg.v20.i44.16745 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Wang J, Deng H, Liu B, Hu A, Liang J, Fan L, et al. Systematic evaluation of research progress on natural language processing in medicine over the past 20 years: bibliometric study on pubmed. J Med Internet Res. (2020) 22:e16816. 10.2196/16816 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Feng C, Wu Y, Gao L, Guo X, Wang Z, Xing B. Publication landscape analysis on gliomas: how much has been done in the past 25 years? Front Oncol. (2019) 9:1463. 10.3389/fonc.2019.01463 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Stout NL, Alfano CM, Belter CW, Nitkin R, Cernich A, Lohmann Siegel K, et al. A bibliometric analysis of the landscape of cancer rehabilitation research (1992-2016). J Natl Cancer Inst. (2018) 110:815–24. 10.1093/jnci/djy108 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Blei D, Lafferty J. Text Mining: Theory and Applications, Chapter Topic Models. Taylor and Francis, London (2009). [Google Scholar]
- 17.Abd-Alrazaq A, Alhuwail D, Househ M, Hamdi M, Shah Z. Top concerns of tweeters during the COVID-19 pandemic: infoveillance study. J Med Internet Res. (2020) 22:e19016. 10.2196/19016 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Kirsner JB. Historical origins of current IBD concepts. World J Gastroenterol. (2001) 7:175–84. 10.3748/wjg.v7.i2.175 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Jostins L, Ripke S, Weersma RK, Duerr RH, Mcgovern DP, Hui KY, et al. Host-microbe interactions have shaped the genetic architecture of inflammatory bowel disease. Nature. (2012) 491:119–24. 10.1038/nature11582 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Loftus EVJr. Clinical epidemiology of inflammatory bowel disease: Incidence, prevalence, and environmental influences. Gastroenterology. (2004) 126:1504–17. 10.1053/j.gastro.2004.01.063 [DOI] [PubMed] [Google Scholar]
- 21.Kaplan GG. The global burden of IBD: from 2015 to 2025. Nat Rev Gastroenterol Hepatol. (2015) 12:720–7. 10.1038/nrgastro.2015.150 [DOI] [PubMed] [Google Scholar]
- 22.Zuo T, Ng SC. The gut microbiota in the pathogenesis and therapeutics of inflammatory bowel disease. Front Microbiol. (2018) 9:2247. 10.3389/fmicb.2018.02247 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Willing BP, Dicksved J, Halfvarson J, Andersson AF, Lucio M, Zheng Z, et al. A pyrosequencing study in twins shows that gastrointestinal microbial profiles vary with inflammatory bowel disease phenotypes. Gastroenterology. (2010) 139:1844–1854.e1. 10.1053/j.gastro.2010.08.049 [DOI] [PubMed] [Google Scholar]
- 24.Sellon RK, Tonkonogy S, Schultz M, Dieleman LA, Grenther W, Balish E, et al. Resident enteric bacteria are necessary for development of spontaneous colitis and immune system activation in interleukin-10-deficient mice. Infect Immun. (1998) 66:5224–31. 10.1128/IAI.66.11.5224-5231.1998 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Dianda L, Hanby AM, Wright NA, Sebesteny A, Hayday AC, Owen MJ. T cell receptor-alpha beta-deficient mice fail to develop colitis in the absence of a microbial environment. Am J Pathol. (1997) 150:91–7. [PMC free article] [PubMed] [Google Scholar]
- 26.Paik J, Meeker S, Hsu CC, Seamons A, Pershutkina O, Snyder JM, et al. Validation studies for germ-free Smad3(-/-) mice as a bio-assay to test the causative role of fecal microbiomes in IBD. Gut Microbes. (2020) 11:21–31. 10.1080/19490976.2019.1611151 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Ma N, Guo P, Zhang J, He T, Kim SW, Zhang G, et al. Nutrients mediate intestinal bacteria-mucosal immune crosstalk. Front Immunol. (2018) 9:5. 10.3389/fimmu.2018.00005 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Dorrestein PC, Mazmanian SK, Knight R. Finding the missing links among metabolites, microbes, and the host. Immunity. (2014) 40:824–32. 10.1016/j.immuni.2014.05.015 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Wu GD. Diet, the gut microbiome and the metabolome in IBD. Nestle Nutr Inst Workshop Ser. (2014) 79:73–82. 10.1159/000360686 [DOI] [PubMed] [Google Scholar]
- 30.Singh N, Gurav A, Sivaprakasam S, Brady E, Padia R, Shi H, et al. Activation of Gpr109a, receptor for niacin and the commensal metabolite butyrate, suppresses colonic inflammation and carcinogenesis. Immunity. (2014) 40:128–39. 10.1016/j.immuni.2013.12.007 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Gadaleta RM, Van Erpecum KJ, Oldenburg B, Willemsen EC, Renooij W, Murzilli S, et al. Farnesoid X receptor activation inhibits inflammation and preserves the intestinal barrier in inflammatory bowel disease. Gut. (2011) 60:463–72. 10.1136/gut.2010.212159 [DOI] [PubMed] [Google Scholar]
- 32.Ni J, Wu GD, Albenberg L, Tomov VT. Gut microbiota and IBD: causation or correlation? Nat Rev Gastroenterol Hepatol. (2017) 14:573–84. 10.1038/nrgastro.2017.88 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Lichtenstein GR, Feagan BG, Cohen RD, Salzberg BA, Diamond RH, Price S, et al. Serious infection and mortality in patients with Crohn's disease: more than 5 years of follow-up in the TREAT™ registry. Am J Gastroenterol. (2012) 107:1409–22. 10.1038/ajg.2012.218 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Warner B, Harris AW. Adalimumab induces and maintains clinical remission in patients with moderate-to-severe ulcerative colitis. Gastroenterology. (2012) 143:e42; author reply e42. 10.1053/j.gastro.2012.03.055 [DOI] [PubMed] [Google Scholar]
- 35.Sandborn WJ, Rutgeerts P, Enns R, Hanauer SB, Colombel JF, Panaccione R, et al. Adalimumab induction therapy for Crohn disease previously treated with infliximab: a randomized trial. Ann Intern Med. (2007) 146:829–38. 10.7326/0003-4819-146-12-200706190-00159 [DOI] [PubMed] [Google Scholar]
- 36.Allocca M, Fiorino G, Gilardi D, Preatoni P, Papa A, Peyrin-Biroulet L, et al. Biologic therapies in ulcerative colitis: primi inter pares? Curr Drug Targets. (2018) 19:748–56. 10.2174/1389450117666160527142719 [DOI] [PubMed] [Google Scholar]
- 37.Neurath MF. COVID-19 and immunomodulation in IBD. Gut. (2020) 69:1335–42. 10.1136/gutjnl-2020-321269 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Singh AK, Jena A, Kumar MP, Sharma V, Sebastian S. Risk and outcomes of coronavirus disease in patients with inflammatory bowel disease: A systematic review and meta-analysis. United European Gastroenterol J. (2021) 9:159–76. 10.1177/2050640620972602 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Brenner EJ, Ungaro RC, Gearry RB, Kaplan GG, Kissous-Hunt M, Lewis JD, et al. Corticosteroids, But Not TNF antagonists, are associated with adverse COVID-19 outcomes in patients with inflammatory bowel diseases: results from an international registry. Gastroenterology. (2020) 159:481–91.e3. 10.1053/j.gastro.2020.05.032 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Lev-Tzion R, Focht G, Lujan R, Mendelovici A, Friss C, Greenfeld S, et al. COVID-19 Vaccine is effective in inflammatory bowel disease patients and is not associated with disease exacerbation. Clin Gastroenterol Hepatol. (2021). 10.1016/j.cgh.2021.12.026. [Epub ahead of print]. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Classen JM, Muzalyova A, Nagl S, Fleischmann C, Ebigbo A, Römmele C, et al. Antibody response to SARS-CoV-2 vaccination in patients with inflammatory bowel disease - results of a single-center cohort study in a tertiary hospital in Germany. Dig Dis. (2021) 10:1–9. 10.1159/000521343 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Dailey J, Kozhaya L, Dogan M, Hopkins D, Lapin B, Herbst K, et al. Antibody responses to SARS-CoV-2 after infection or vaccination in children and young adults with inflammatory bowel disease. Inflamm Bowel Dis. (2021). 10.1093/ibd/izab207. [Epub ahead of print]. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Kennedy NA, Goodhand JR, Bewshea C, Nice R, Chee D, Lin S, et al. Anti-SARS-CoV-2 antibody responses are attenuated in patients with IBD treated with infliximab. Gut. (2021) 70:865–75. 10.1136/gutjnl-2021-324388 [DOI] [PubMed] [Google Scholar]
- 44.Siegel CA, Melmed GY, Mcgovern DP, Rai V, Krammer F, Rubin DT, et al. SARS-CoV-2 vaccination for patients with inflammatory bowel diseases: recommendations from an international consensus meeting. Gut. (2021) 70:635–40. 10.1136/gutjnl-2020-324000 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Balestrieri P, Ribolsi M, Guarino MPL, Emerenziani S, Altomare A, Cicala M. Nutritional aspects in inflammatory bowel diseases. Nutrients. (2020) 12:372. 10.3390/nu12020372 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Forbes A, Escher J, Hébuterne X, Kłek S, Krznaric Z, Schneider S, et al. ESPEN guideline: clinical nutrition in inflammatory bowel disease. Clin Nutr. (2017) 36:321–47. 10.1016/j.clnu.2016.12.027 [DOI] [PubMed] [Google Scholar]
- 47.Do J, Woo J. From gut to brain: alteration in inflammation markers in the brain of dextran sodium sulfate-induced colitis model mice. Clin Psychopharmacol Neurosci. (2018) 16:422–33. 10.9758/cpn.2018.16.4.422 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Zhao B, Wu J, Li J, Bai Y, Luo Y, Ji B, et al. Lycopene alleviates dss-induced colitis and behavioral disorders via mediating microbes-gut-brain axis balance. J Agric Food Chem. (2020) 68:3963–75. 10.1021/acs.jafc.0c00196 [DOI] [PubMed] [Google Scholar]
- 49.Chan W, Shim HH, Lim MS, Sawadjaan FLB, Isaac SP, Chuah SW, et al. Symptoms of anxiety and depression are independently associated with inflammatory bowel disease-related disability. Dig Liver Dis. (2017) 49:1314–9. 10.1016/j.dld.2017.08.020 [DOI] [PubMed] [Google Scholar]
- 50.Cohen BL, Zoëga H, Shah SA, Leleiko N, Lidofsky S, Bright R, et al. Fatigue is highly associated with poor health-related quality of life, disability and depression in newly-diagnosed patients with inflammatory bowel disease, independent of disease activity. Aliment Pharmacol Ther. (2014) 39:811–22. 10.1111/apt.12659 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Manca A, Cugusi L, Dvir Z, Deriu F. PubMed should raise the bar for journal inclusion. Lancet. (2017) 390:734–5. 10.1016/S0140-6736(17)31943-8 [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.