Skip to main content
Springer logoLink to Springer
. 2024 Jul 5;24(1):149. doi: 10.1007/s10238-024-01396-y

Global research states and trends of micro RNA in irritable bowel syndrome: a bibliometric analysis

Hongxiu Chen 1,#, Zhifang Xu 2,3,#, Honggang Zhao 4, Jiazhen Cao 1, Rui Wang 3, Jing He 1, Ru Nie 1, Jialin Jia 1, Shuting Yuan 1, Yonghong Li 1, Zhicheng Liu 1, Xinyu Zhang 3, Lijuan Ha 1,✉, Xiaoru Xu 1,✉, Tie Li 1,✉
PMCID: PMC11226481  PMID: 38967892

Abstract

Irritable bowel syndrome (IBS) is a common chronic gastrointestinal disorder, but its diagnosis and treatment remain obscure. Non-coding RNAs (ncRNAs), as potential biomarkers, have attracted increasing attention in digestive diseases. Here, we present a comprehensive research status, development trends, and valuable insights in this subject area. The literature search was performed using Web of Science Core Collection. VOSviewer 1.6.20, Citespace 6.2.R4, and Microsoft Excel 2021 were used for bibliometric analysis. A total of 124 articles were included in the analysis. Overall, publication patterns fluctuated. Globally, People’s Republic of China, the USA, and Germany were the top three contributors of publications. Guangzhou University of Chinese Medicine, University of California, Mayo Clinic, and University of California, Los Angeles contributed the highest number of publications. The pathways and specific mechanisms by which ncRNAs regulate transcription and translation and thus regulate the pathophysiological processes of IBS are the main research hotspots in this field. We found that microRNA (miRNAs) are intricately involved in the regulation of key pathologies such as viscera sensitivity, intestinal permeability, intestinal mucosal barrier, immunoinflammatory response, and brain-gut axis in the IBS, and these topics have garnered significant attention in research community. Notably, microecological disorders are also associated with IBS pathogenesis, and ncRNA may play an important role in the interactions between host and intestinal flora. This is the first bibliometric study to comprehensively summarize the research hotspots and trends related to IBS and ncRNAs (especially miRNAs). Our findings will help understand the role of ncRNAs in IBS and provide guidance to future studies.

Supplementary Information

The online version contains supplementary material available at 10.1007/s10238-024-01396-y.

Keywords: Irritable bowel syndrome, Non-coding RNA, Global research, Bibliometric, microRNA

Introduction

Irritable bowel syndrome (IBS) is a common functional gastrointestinal disorder characterized by recurrent abdominal pain with changes in fecal matter or bowel habits and has recently been defined as a disorder of the bowel–brain interaction [1, 2]. This is because a large proportion of patients with IBS experiences extraintestinal symptoms, including psychological, psychiatric, and mood disorders [3–5]. With the changing times, the burden of life and work has increased, and the diets and rest patterns of individuals have become extremely irregular, which can easily induce IBS. A recent international cross-sectional study reported that the overall prevalence of IBS in East Asia was 12.6% [6]. Although IBS is not fatal, it seriously affects health and quality of life and imposes a heavy financial burden on families and social healthcare [7]. The pathogenesis of IBS is complex and involves visceral hypersensitivity (VH) [8], intestinal flora imbalance [9], reduced immune activation [10], an overactive serotonergic (5-HT) system [11], and intestinal barrier dysfunction [12]. The diagnosis of IBS has no precise criteria, but based on Rome IV [13] and Bristol Stool Form, it is classified into four subgroups: diarrhea-predominant IBS (IBS-D), constipation-predominant IBS (IBS-C), IBS with mixed defecation habits (IBS-M), and unclassified IBS (IBS-U) [14]. However, these criteria are highly subjective and do not accurately differentiate between patients with IBS and healthy individuals. Therefore, developing biomarkers for the accurate diagnosis of IBS is important.

The current clinical practice for IBS primarily focuses on symptom management. Although symptomatic medications can significantly relieve symptoms in the short term, their long-term efficacy is not outstanding [15]. Some researchers have suggested that actively understanding the epigenetic mechanisms underlying IBS may help develop more durable and effective treatments. Fortunately, epigenetic modifications, including chromatin remodeling, DNA methylation, and non-coding RNA (ncRNA), have been identified in the occurrence and development of IBS [16], among which ncRNA is a significant factor in gene expression. Studies on ncRNA correlations based on IBS pathophysiology have proven invaluable in uncovering disease mechanisms and exploring diagnostic and treatment approaches. ncRNA, which does not code for proteins but has enzymatic, structural, or regulatory functions, is involved in a variety of biological processes, including gene regulation, RNA modification, and other cellular processes. According to their length and functional strength, ncRNAs can be divided into different categories. Among these, microRNA (miRNA) and long non-coding RNA (lncRNA) have been widely studied [17].

Bibliometric analysis can quantitatively describe and visualize the key features of published literature in a certain field and has been widely used in various disciplines and fields [18–20]. It helps understand the current status of research in a field by comparing and analyzing different authors, institutions, countries, journals, and cited literature. In addition, visual analysis of keywords can help us deeply understand research hotspots and predict future development trends. This approach plays an important role in quickly and accurately understanding the research content in a field. Studies on the global trend of intestinal microbiota [21], VH [22], brain-gut axis [23], and IBS [24] have been conducted, and the status and development of the subfield of IBS have been evaluated, which has important guiding significance for further research on IBS. However, no hotspot or trend-tracking of ncRNA and IBS research has been conducted to date. This study aimed to comprehensively and systematically review the current status of research on ncRNA-related IBS worldwide to compensate for the bibliometric analysis deficiency and to help clinicians have a better understanding and reference for future research in this field.

Methods

Data source and search strategies

All publications were collected from the Core Collection database of the Web of Science (WoS) (http://apps.webofknowledge.com), which is the most authoritative database of scientific publications in a wide range of research areas. The search terms included (“Irritable Bowel Syndrome” OR “IBS” OR “irritable bowel” OR “irritable colon” OR “Mucous Colitides”) AND (“Untranslated RNA” OR “Non-coding RNA” OR “microRNA” OR “Primary MicroRNA” OR “RNA, Long Non-coding” OR “LincRNAs” OR “Small Temporal RNA”). All electronic searches were performed on January 11, 2024. Document types were limited to original research articles and reviews. Data were exported as “plain text files—full records with cited references” and saved in the “download_*” format. The detailed retrieval results are presented in Fig. 1.

Fig. 1.

Fig. 1

Flow diagram of the included articles

Data acquisition and processing

Data for this study were obtained within 1 day to eliminate potential discrepancies due to daily database updates. Before formal visualization of the analysis, literature was read and screened, duplicates and literature not relevant to the study were eliminated, and criteria were standardized for terms with the same meaning, such as (“Irritable Bowel Syndrome” and “IBS”) and (“microRNA” and “miRNA”). Studies with a high correlation between ncRNAs and IBS were screened, and basic article information (including title, author, and publication year), subjects, tissues, and the expression of ncRNAs and their targets in the pathological state of IBS were extracted. VOSviewer 1.6.20 and CiteSpace 6.2. R4 were used to identify and analyze the top-ranked countries, institutions, authors, journals, keywords, and co-cited literature. Additionally, Microsoft Excel 2021 (Microsoft Corporation, Redmond, WA, USA) was used. The data in this study were obtained directly from secondary-level databases and analyzed on this basis; thus, no ethical approval was obtained.

Data analysis

Each dot in the visualization map represents an individual. The larger the dot, the higher the index of the relevant target. The line between the dots represents the correlation, and the thickness of the line represents correlation strength; the thicker the line, the higher the correlation degree. The contents of the studies were automatically grouped and color-coded, and the number of clusters varied according to the similarity threshold between the nodes. CiteSpace node Settings: Years per slice:1, TOP N:50, node types select country, institution, author, and keyword as visual objects, and perform the corresponding cluster analysis and emergence analysis for keywords. The keyword-pruning item selects Pathfinder, prunes the sliced networks, and prunes the merged network. Microsoft Excel 2021 was used to publish the trend statistics, sort the data, and generate the related tables.

Results

Annual publications and trends

Ninety articles and 34 reviews met the Web of Science Core Collection retrieval criteria. The number of published studies is an important indicator of the development of a research field and helps us understand the field’s focus and predict future trends. As shown in Fig. 2a, since the first relevant study was published in 2008, the overall research output on ncRNAs in the field of IBS has shown a steady upward trend, with a trend line equation of y = 0.0573x2 + 0.0012x + 3.5209 (R2 = 0.8344), where y represents the study volume and x represents the corresponding year of publication. The polynomial fitting simulation curves exhibited a positive trend in this field. Figure 2b shows the catalog classification of Web of Science (WoS) distribution domains involved in this study, covering multidisciplinary areas, such as gastroenterology hepatology, cell biology, and biochemistry molecular biology.

Fig. 2.

Fig. 2

Global characteristics of articles published on WOS: a annual publication volume of articles and b WoS catalog classification of the research area

Analysis of countries and institutions

The analysis of country/institution cooperation helps us objectively identify the relevant institutions concerned with research in a field and the cooperation between them to understand their influence on the development of a discipline. In Fig. 3a, each circle represents a country, circle size is proportional to the number of published articles in that country, and line thickness indicates the connections between different countries. The thicker the line, the more connections there are, i.e., the closer the degree of cooperation. China (0.17), USA (0.25), and Germany (0.3) were the top three countries in ncRNAs and IBS research, and they maintained active collaboration with each other and with other countries. Table 1 shows the top 10 countries according to the number of publications and centrality, and it can be seen that the number of publications and centrality is not the same. In CiteSpace, nodes with intermediate centrality greater than 0.1 are key nodes connecting other countries, representing collaboration, indicating an important core hub position in the research area. Germany (0.3), Norway (0.29), USA (0.25), and Spain (0.2) are the top four countries with the highest centrality.

Fig. 3.

Fig. 3

Networks of cooperative relationships of countries/institutions: a country partnership network and b institutional partnership network

Table 1.

Countries/institutions ranked by publications and centrality

Items Ranking Publications Country/Institution Centrality Country/Institution
Country 1 55 PEOPLES R CHINA 0.3 Germany
2 35 USA 0.29 Norway
3 10 GERMANY 0.25 USA
4 10 SPAIN 0.2 Spain
5 7 ITALY 0.17 Peoples R China
6 5 ENGLAND 0.09 Netherlands
7 5 IRELAND 0.08 IRELAND
8 4 BELGIUM 0.08 INDIA
9 4 NETHERLANDS 0.05 ENGLAND
10 3 FRANCE 0.02 Belgium
Institution 1 7 Guangzhou University of Chinese Medicine 0.09 Mayo Clinic
2 7 University of California System 0.08 German Cancer Research Center (DKFZ)
3 7 Mayo Clinic 0.06 Autonomous University of Barcelona
4 7 University of California Los Angeles 0.05 University of California Los Angeles
5 6 Ministry of Agriculture & Rural Affairs 0.05 Hospital Universitari Vall d'Hebron
6 5 Hospital Universitari Vall d'Hebron 0.03 Cornell University
7 5 Autonomous University of Barcelona 0.02 Ruprecht Karls University Heidelberg
8 5 Ruprecht Karls University Heidelberg 0.02 CIBER—Centro de Investigacion Biomedica en Red
9 4 University System of Ohio 0.02 University of Texas System
10 4 Vall d'Hebron Institut de Recerca (VHIR) 0.02 University of Texas Medical Branch Galveston

Visualization analysis revealed that 202 institutions contributed to this field. A detailed list of the publications of representative institutions and their collaboration strengths is shown in Table 1. Mayo Clinic had the highest number of publications (n = 7; 5.6%) and centrality (0.09), with earlier publication and lower collaboration with other institutions, followed by Guangzhou University of Chinese Medicine, University of California System, and University of California Los Angeles in terms of publication number. Institutional partnerships are shown in Fig. 3b.

Analysis of authors

The authors’ co-map helps not only present influential research groups in the field but also uncover the nature of collaborative and cooperative teams. In addition, it helps researchers to identify potential collaborators. Figure 4 shows the author’s cooperative network diagram with 380 nodes and 1033 connections. The cooperation among researchers in different teams is evidently not close. The top seven authors and most representative articles are listed in Table 2. Niesler Beate, Professor of Human Molecular Genetics, University of Heidelberg, Germany, has made the largest contribution, with 325 cited publications. However, intermediate centrality among the authors was low.

Fig. 4.

Fig. 4

Author collaboration network

Table 2.

Authors ranked by publications and second by centrality

Ranking Authors Publications Centrality Totol citations Selected publications (Highest citation)
1 Niesler, Beate 5 0.01 325 First evidence for an association of a functional variant in the microRNA-510 target site of the serotonin receptor-type 3E gene with diarrhea-predominant irritable bowel syndrome
2 Chai, Yuna 4 0 50 miRNA-29a modulates visceral hyperalgesia in irritable bowel syndrome by targeting HTR7
3 Granzow, Martin 3 0.02 134 miR-16 and miR-125b are involved in barrier function dysregulation through the modulation of claudin-2 and cingulin expression in the jejunum in IBS with diarrhoea
4 Boeckxstaens, Guy 3 0.01 135 Dietary and pharmacological treatment of abdominal pain in IBS
5 Martinez, Cristina 3 0.01 282 The Jejunum of Diarrhea-Predominant Irritable Bowel Syndrome Shows Molecular Alterations in the Tight Junction Signaling Pathway That Are Associated With Mucosal Pathobiology and Clinical Manifestations
6 Azpiroz, Fernando 3 0.01 258 The Jejunum of Diarrhea-Predominant Irritable Bowel Syndrome Shows Molecular Alterations in the Tight Junction Signaling Pathway That Are Associated With Mucosal Pathobiology and Clinical Manifestations
7 D'amato, Mauro 3 0.01 42 miR-16 and miR-103 impact 5-HT4 receptor signaling and correlate with symptom profile in irritable bowel syndrome

Research hotspots and trends

Analysis of keywords, clusters, timeline, and burst terms

Keywords represent the research focus and hotspots in the field. Table 3 shows the frequency and centrality of the top 23 ncRNA keywords in IBS research. “Irritable bowel syndrome” has the highest frequency, followed by “expression” and “genes.” In addition, keywords such as “inflammation,” “association,” “microRNAs,” “Crohn’s disease,” “cerebral palsy,” “cells,” “cancer,” and “disease” appear more than 10 times, revealing the current hotspots in this field. Centrality and frequency were not entirely consistent. As shown in Table 3, “genes” (0.44) had the highest centrality, followed by “cells” (0.3), “disease” (0.3), “association” (0.29), “gut microbiota” (0.28), “diarrhea” (0.28), “predominant irritable bowel syndrome” (0.23), “Crohn’s disease” (0.21), “disorders “(0.21), and “16 s ribosomal RNA” (0.2). These keywords play key roles in studying the correlation between ncRNAs and IBS. Notably, bidirectional regulation between the microbiota and host is a new direction for IBS and ncRNA research.

Table 3.

Top 23 keywords in terms of frequency and centrality

Rank Keywords Frequency Keywords Centrality
1 Irritable bowel syndrome 73 Genes 0.44
2 Expression 42 Cells 0.3
3 Genes 16 Disease 0.3
4 Inflammation 14 Association 0.29
5 Association 13 Gut microbiota 0.28
6 Micrornas 12 Diarrhea-predominant irritable bowel syndrome 0.23
7 Crohns disease 12 Crohns disease 0.21
8 Cells 12 Disorders 0.21
9 Cancer 10 16 s ribosomal rna 0.2
10 Disease 10 Expression 0.19
11 Colorectal cancer 9 Irritable bowel syndrome 0.16
12 Gut microbiota 8 Brain 0.14
13 Pain 8 In vivo 0.14
14 Visceral hypersensitivity 8 Down regulation 0.13
15 Gene expression 7 Diarrhea 0.13
16 Barrier function 7 Colorectal cancer 0.12
17 Ulcerative colitis 7 Barrier function 0.1
18 Disorders 7 Identification 0.1
19 Activation 7 Animal models 0.1
20 Identification 6 Inflammation 0.09
21 Permeability 6 Fecal microbiota 0.09
22 Abdominal pain 6 Biomarkers 0.09
23 Intestinal permeability 6 Epithelial cells 0.09

Clustering and analyzing keywords can reveal research trends and development directions in a field. The keywords were clustered in CiteSpace. When Q > 0.3, the clustering structure is significant, and S > 0.5 indicates that the clustering results are reasonable [25]. Here, Q = 0.5667 and S = 0.8491. The log-likelihood ratio (LLR) algorithm was selected for keyword clustering, and 15 clusters were formed; the top 10 clusters are shown in Fig. 5b. #0 and #3 were associated with IBS, ulcerative colitis (UC), colorectal cancer, and dysplasia. This is because the onset of IBS often overlaps with other functional gastrointestinal diseases. #2, #4, #5, #7, and #9 were mainly related to the pathophysiological mechanisms of IBS, including visceral pain, intestinal permeability, mucosal structure, interleukin (IL), lymphocyte-associated inflammation–immunity interactions, and microbiota. The keyword-clustering labels and other keywords included are listed in detail in Table 4.

Fig. 5.

Fig. 5

Keyword analysis network: a co-occurring keyword network, b co-occurring keyword-clustering network based on LLR algorithm, c timeline of co-cited clusters, d landscape of co-cited clusters, and e the top 17 keywords with the strongest citation bursts

Table 4.

Keywords cluster analysis

Cluster Size Sihouette Mean Year Label (LLR) Other keywords
#0 39 0.866 2017 Diarrhea-predominant irritable bowel syndromes Expression; development molecular mechanism; microrna-29a
#1 37 0.836 2017 Polymorphism Psychiatry; HTR3e; variant database; non-celiac gluten sensitivity
#2 34 0.909 2015 Microbiome Randomized controlled trial; functional gastrointestinal disorders; DNA methylation; histone modifications
#3 33 0.791 2015 Crohns disease Ulcerative colitis; IBD; colorectal cancer; dysplasia
#4 29 0.692 2017 Interleukin-2 Life stress; interleukin-6; tumor necrosis factor-alpha; lymphocytes
#5 29 0.82 2013 Disorders Abdominal pain; glutamine; visceral pain; intestinal permeability
#6 27 0.798 2013 Antisense RNA Non-coding RNAs; escherichia coli; system; mouse model
#7 26 0.929 2013 Mucosal mRNA; histamine; dietary supplements; short-chain fatty acids
#8 19 0.954 2013 Non-coding RNA Transposon; RNA catalysis; splicing; RNA structure

The timeline and landscape displays of the keywords are shown in Fig. 5c and d. ncRNAs, especially miRNA expression in IBS, have been the focus of research, and understanding the structure and function of the corresponding ncRNA can help identify potential biomarkers with diagnostic and therapeutic value. Since the promulgation of Rome IV in 2016, more studies have focused on IBS subtypes, particularly IBS-D. Distinguishing the different subtypes of IBS helps to formulate targeted clinical treatment plans and achieve optimal efficacy.

Furthermore, keywords were analyzed by year to show the development trends in this field. The top 25 keywords with the strongest citation bursts are shown in Fig. 5e. The length of the red line represents the duration of the keyword burst. Since 2016, the most cited keywords in this field were “microRNAs,” “gene expression,” “inflammation,” “gut microbiota,” “barrier function,” “pain,” “long non-coding RNAs,” etc. The main research direction represented by these keywords was based on the differential expression and function of ncRNAs in the pathological mechanisms of IBS. “microRNAs” (2.81) had the highest burst intensity, followed by “pain” (2.18), “barrier function” (2.11), and “long non-coding RNAs” (1.79). These keywords emerged in 2020 and represent the future development trends.

Analysis of high co-cited references

Reference co-cited analysis can efficiently and quickly locate key knowledge information in a field from a large number of references and visually show the strength of the correlation in literature, which is an important indicator for quantifying and reflecting the academic influence of references. Vosview’s results showed that, among the 7,562 co-cited literature, 41 studies had co-citation frequencies > 7. Figure 6a shows the network relationship and correlation strength. As shown in Fig. 6a, co-cited literature was categorized into four clusters. The red cluster is related to the pathophysiological mechanism of IBS, intestinal permeability, visceral sensitivity, and inflammation-immune-neural interactions, including increased expression of endocrine cells and T lymphocytes [26] in PI-IBS, downregulation of tight junction (TJ) proteins ZO-1, occludin, and claudin-1 in IBS-D [27–29], as well as VH associated with dysfunction of the 5-HT system [27]. The green cluster focuses on the interactions between ncRNAs and IBS and emphasizes the important role of epigenetic mechanisms in IBS. For example, miR-200a inhibits cannabinoid receptor 1 and 5-HT transporters, thus increasing visceral sensitivity in IBS-D rats [30]. Furthermore, miR-144 increases intestinal permeability in IBS-D rats by upregulating occludin and ZO-1 [31]. The blue cluster tends to elaborate on the emerging functions of miRNAs in IBS, demonstrating that miRNAs may become potential biomarkers for IBS diagnosis and treatment. The yellow cluster indicates IBS research progress. The top 10 articles by total citation frequency and correlation intensity ranked from high to low are shown in Table 5. “MicroRNA-29a regulates intestinal membrane permeability in patients with irritable bowel syndrome” is a widely cited paper published in Gut in 2010 [32], and the research group’s research on miR-29 has been continuing. In 2015, the same authors published a study in Gastroenterology reporting that miR-29 targets and reduces the expression of claudin-1 and nuclear factor-κb (NF-κB) repressing factors to increase intestinal permeability [33].

Fig. 6.

Fig. 6

Cluster map of co-cited references and journals: a cluster map of co-cited references, b cluster map of co-cited journals, and c the highest co-cited journal

Table 5.

Top 10 high co-cited reference ranked by citations

Ranking Title Citations Years Total link strength
1 MicroRNA-29a regulates intestinal membrane permeability in patients with irritable bowel syndrome 40 2010 424
2 First evidence for an association of a functional variant in the microRNA-510 target site of the serotonin receptor-type 3E gene with diarrhea-predominant irritable bowel syndrome 31 2008 343
3 MicroRNA 29 Targets Nuclear Factor-κB-Repressing Factor and Claudin 1 to Increase Intestinal Permeability 25 2015 316
4 Decreased miR-199 augments visceral pain in patients with IBS through translational upregulation of TRPV1 23 2016 295
5 Elevated circulating miR-150 and miR-342-3p in patients with irritable bowel syndrome 22 2014 266
6 MicroRNA-24 inhibits serotonin reuptake transporter expression and aggravates irritable bowel syndrome 22 2016 281
7 miR-16 and miR-125b are involved in barrier function dysregulation through the modulation of claudin-2 and cingulin expression in the jejunum in IBS with diarrhoea 21 2017 270
8 Functional bowel disorders 18 2006 164
9 MicroRNAs Are Differentially Expressed in Ulcerative Colitis and Alter Expression of Macrophage Inflammatory Peptide-2α 16 2008 108
10 miRNA-based therapies for the irritable bowel syndrome 16 2011 142

Analysis of high co-cited journals

Among the 1,846 journals, 12 with a total citation frequency > 90 were analyzed using VosView, as shown in Fig. 6b and c. The journal of Gastroenterology had the highest co-cited rate and association strength, which were strongly consistent with disease attributes. Research achievements in this field are mostly displayed in high-quality journals such as Gut, Science, and Nature, indicating the degree of attention paid to research in this field (Table 6).

Table 6.

Top 10 high co-cited journals ranked by citations

Rank Journal Counts Citations Total link strength
1 Gastroenterology 95 507 11,371
2 Gut 89 356 8471
3 Neurogastroent Motil 62 183 5556
4 Plos one 67 182 4094
5 Nature 53 154 4486
6 Am J Gastroenterol 62 150 4176
7 P Natl Acad Sci Usa 55 124 3166
8 Science 51 115 3421
9 World J Gastroentero 53 111 2983
10 Cell 43 108 3165

Interaction mechanisms of IBS and ncRNA

A total of 34 studies with a high correlation between ncRNAs and IBS were selected by reading the included references individually. The studies involved 39 miRNAs, four lncRNAs, three tiRNAs, and one circRNA. Research on miRNAs in IBS is currently a hot topic. Of course, the interactions between miRNAs, lncRNAs, and circRNAs are gradually being revealed. The pathological mechanisms of IBS are mainly related to increased intestinal permeability and mucosal barrier function impairment, increased VH, immunity and low-grade inflammation persistence, the brain-intestinal axis, excessive energy metabolism-associated autophagy, and other factors such as decreased cell viability and gastrointestinal motility. The abnormal expression of ncRNAs in IBS and changes in monosaccharide nucleotide polymorphisms can affect the symptoms of IBS to some extent. Next, the correlation between the pathophysiological mechanisms of IBS and ncRNAs (partially miRNAs) is discussed in specific subsections, and the involvement of ncRNAs in the regulation of IBS pathology is mapped, as shown in Fig. 7.

Fig. 7.

Fig. 7

Expression and regulation of target genes of ncRNA in IBS. miR microRNA, LncRNA long non-coding RNA, tiRNA tRNA halves, tRF tRNA-related fragment, circRNA circular RNA, GLUL glutamine synthetase gene, AQP aquaporin, TRAF3 TNF receptor-associated factor 3, MLCK myosin light-chain kinase, RGS2 regulator of G protein signaling 2, MAPK mitogen-activated protein kinase, HTR serotonin receptor, CNR1 cannabinoid receptor 1, SERT serotonin reuptake transporter, PKI protein kinase inhibitor peptide, IL1A interleukin 1α, PRDX1 peroxiredoxin 1, ATG 14 autophagy-related 14, TRPV1 transient receptor potential cation channels 1, TLR4 toll-like receptor 4, EZH2 zeste homolog 2. ↑ increase or activate, ↓ decrease or inhibit

VH and ncRNA

VH is one of the main pathological mechanisms of IBS and is the basic pathology of IBS abdominal pain. 5-HT is upregulated in response to visceral pain perception and is considered an indicator of VH [8, 34]. Evidence suggests that 5-HT and 5-HT selective reuptake protein (SERT) are involved in the pathogenesis of IBS [35]. Dysregulation of SERT, which leads to increased mucosal 5-HT availability, may result in high levels of intestinal secretion and motility, potentially hastening the development of IBS-D [36]. A previous study confirmed that miR-24 is upregulated and SERT is reduced in both patients with IBS and rats, and the inhibition of miR-24 has been linked to increased colonic pain and injurious thresholds [37], supporting its involvement in VH. In addition, Hou et al. [30] reported that miR-200a is significantly upregulated in IBS-D rats, accompanied by the downregulation of CNR1 and SERT, suggesting a potential role for miR-200a in modulating the VH response. Zhu et al. [38] observed that miR-29a targets the 5-HT7 receptor (HTR7), being significantly upregulated, whereas HTR7 was downregulated in patients with IBS compared with healthy individuals, with similar findings in water-avoidance stress-induced IBS mice. miR-29a knockdown resulted in increased HTR7 expression and reduced VH [38]. Wohlfarth et al. [39] first demonstrated that miRNAs fine-tune the expression of the 5-HT4 receptor (HTR4), and this regulation is affected by the HTR4 polymorphic variant SNPc. *61T > C or low miR-16 and miR-103 expression, suggesting that these miRNAs targeting HTR4 may be involved in IBS-D. Additionally, lncRNA X-inactive specific transcript (lncRNA XIST), a potential oncogene in colorectal cancer, has been identified as a target of SERT through methylation regulation. High lncRNA XIST expression in IBS-D mice promotes SERT promoter methylation, leading to reduced SERT expression and VH [40].

The expression of transient receptor potential vanilla-like subtype 1 (TPRV1) is closely associated with visceral sensation [41]. Research indicates that miRNAs play a critical role in the regulation of TRPV1 [42]. Specifically, miR-199 modulates hyperalgesia by targeting pathways associated with TRPV1. Zhou et al. [42] observed a decrease in miR-199a/b and an increase in TRPV1 in patients with IBS-D experiencing visceral pain, confirming the direct interaction between miR-199 and TRPV1. Furthermore, researchers discovered that miR-199 upregulation in the dorsal root ganglia and colon of rats with VH reversed pain and nociception by suppressing TRPV1 signaling in vivo [42]. Subsequent research on acupuncture therapy revealed that acupuncture enhanced miR-199 expression in the colon, reduced TRPV1 activation, and alleviated VH [43]. Protein kinase inhibitor peptide (PKI) B is a target gene of miR-495, and increased expression of miR-495 reduces VH by inhibiting the PI3K/AKT signaling pathway by downregulating PKIB [44]. In IBS-like rats, the expression of hippocampal circKcnk9, a novel circRNA, is significantly increased. The potential target pathway of circKcnk9 is miR124-3p/EZH2. EZH2 is associated with anxiety and pain. The upregulation of circKcnk9 strongly suppresses the activity of miR124-3p, leading to increased expression of the target gene EZH2, which in turn results in VH and anxiety [45].

Effects of ncRNA on intestinal permeability and barrier function

Increased intestinal permeability and impairment of intestinal mucosal barrier function are commonly observed in IBS. TJ proteins are crucial components of the intestinal mucosal barrier and are frequently used to assess the integrity of barrier function. Both clinical and basic research have demonstrated increased levels of ZO-1, claudin-1, and occludin, along with reduced levels of claudin-2 in individuals with IBS, leading to increased intestinal permeability. The association between ncRNAs and IBS has garnered considerable attention. Studies have shown that miR-155-5p and miR-144 are upregulated, whereas miR-219a-5p, miR-338-3p, miR-16, and miR-125b are downregulated [46]. This dysregulation is accompanied by a decrease in claudin-1, ZO-1, and occludin in IBS, an increase in claudin-2, and a decrease in the adherents junction protein E-cadherin. The above results show that ncRNA participates in regulating the structure of the TJ and affects barrier function in IBS.

Notably, miR-29 is closely associated with the onset and progression of IBS. Upregulated miR-29a/b and the consequent downregulation of targeted NF-κB inhibitor and claudin-1 are the possible key etiological factors contributing to increased intestinal permeability and chronic gastrointestinal symptoms in patients with IBS-D. In contrast, miR-29a/b silencing flips intestinal hyperpermeability, thus ameliorating intestinal barrier damage [33]. Aquaporins (AQP), water channel proteins capable of transporting water or small solute molecules, forming “pores” in cell membranes, have a pro-homeostatic effect on water metabolism disorders [47]. Studies have demonstrated that AQP is involved in water transport and intestinal mucosal barrier composition in the colon and that a decrease in AQP can lead to increased intestinal permeability [48]. IBS-D is a diarrhea-related dysfunction of colon absorption and water metabolism. Researchers have found that the levels of AQP1, AQP3, and AQP8 are reduced in IBS-D, whereas miR-29a is increased. miR-29a regulates AQP expression, with a negative correlation between them [49]. In addition, glutamine (GLUL), a target of miR-29a, directly regulates intestinal barrier function, and silencing GLUL can enhance epithelial permeability, suggesting that miR-29a regulates intestinal permeability in patients with IBS through a GLUL-dependent mechanism [33].

Crosstalk between inflammation and immunity with ncRNA

The inflammatory response after infection persists, triggering uncomfortable symptoms in patients with IBS, particularly those with IBS-D and PI-IBS. Research indicates a six-fold increase in the risk of IBS development due to chronic low-grade inflammation of the gastrointestinal tract following infection [50]. Studies have revealed a significant increase in the expression of interferon (IFN)-γ, IL-1β, IL-17, and IL-12 and a notable decrease in IL-10 and IL-4 in the intestinal tissue of patients with PI-IBS [51]. This prompted a re-evaluation of the “functional” paradigm of IBS, as the crosstalk between immune activation and low-grade inflammation is becoming prominent in IBS [52]. Toll-like receptor 4 (TLR 4), an inflammatory pathogen recognition receptor, has been implicated in the initiation of intracellular signal transduction via the NF-κB pathway, contributing to inflammatory responses, antiviral defenses, tumor treatment, and immune response regulation [53]. NF-κB has been identified as a crucial player in intestinal inflammation, which leads to the breakdown of TJs and increased permeability [54]. Xi et al. [55] found increased levels of IL-6 and IL-1β in colorectal tissue in both patients and mice with IBS-D. Meanwhile, researchers observed the presence of TLR4, NF-κB p65, and p-NF-κB in an IBS-D model, indicating an inflammatory response. The same researchers also focused on miR-16, which was found to target TLR4 and inhibit the TLR4/NF-κB signaling pathway in both the IBS-D model and the lipopolysaccharide (LPS)-induced cellular experiments. This inhibition leads to reduced levels of inflammatory cytokines and apoptosis, ultimately preserving TJ integrity [55]. Ji et al. [56] discovered that miR-181c-5p targets and inhibits IL1A expression, resulting in increased abdominal withdrawal reflex and Bristol fecal grade in IBS mice. Furthermore, miR-181c-5p overexpression or IL1A silencing led to reduced expression of tumor necrosis factor-α (TNF-α), IL-2, and IL-6. miR-150, which is associated with inflammatory bowel disease (IBD) and pain, is upregulated and interacts with protein kinase (AKT2), which may affect inflammatory pathways [57]. Zhang et al. [58] confirmed that peroxidoreductase 1 (PRDX1) is a direct target of miR-510. miR-510 inhibits inflammation in Caco-2 cells induced by LPS by upregulating PRDX1, and its interaction with the levels of the pro-inflammatory cytokine TNF-α levels showed a negative correlation. These results suggest that miR-510 targets PRDX1 and regulates inflammation in IBS cells.

Other potential pathologic mechanisms of IBS with ncRNA

According to Rome IV, the latest definition of IBS is a gut–brain interaction disorder [59]. The gut–brain axis has long been a focus of attention as a bridge between the gut and brain. Recent studies have shown that tRNA-derived small RNAs (tsRNAs), a novel type of small non-coding RNAs, are associated with IBS. Biopsy identification of intestinal tissues from patients with IBS revealed that tiRNA-His-GTG-001 was upregulated, and tRF-Ser-GCT-113 and tRF-Gln-TTG-035 were downregulated. These can regulate gut–brain axis signaling molecules, such as GABBR2, HTR2C, SASH1, TLR4, and GABARAP. Moreover, GABBR2, TLR4, and GABARAP are targeted to participate in GABAergic synapses and TNF-α and other signaling pathways, affecting the clinical symptoms of IBS [60].

Autophagy, a highly conserved catabolic pathway, serves as an intracellular homeostatic mechanism to maintain the balance between protein metabolism and energy under both normal and stressful conditions. Recent evidence has emphasized novel autophagy mechanisms in gastrointestinal diseases, especially those associated with chronic gastrointestinal inflammation and dyskinesia [61]. Excessive autophagy has been found to disrupt the intestinal mucosal barrier, triggering the release of inflammatory mediators and xenogeneic antigens that interact with inflammatory cells in the intestinal mucosa. This cascade of events leads to disturbances in visceral sensitivity and gastrointestinal motility and ultimately causes the development of symptoms such as abdominal pain and diarrhea, which are common in IBS [62, 63]. Recent studies have demonstrated that certain miRNAs modulate autophagy through various pathways. For example, miR-100-5p has been shown to promote autophagy and inhibit apoptosis by regulating mTOR (a key regulator of autophagy) [64]. miR-15b-5p and miR-424-5p compete for binding to plasmacytoma variant translocation 1 (PVT1), resulting in the promotion of autophagy and the downregulation of apoptosis [65]. In a study investigating the effect of apigenin on autophagy in human colon epithelial cells derived from patients with IBS, miR-148b-3p was identified as a key regulator targeting autophagy-related 14 (ATG14). ATG14 overexpression in the presence of miR-148b-3p mimics was found to enhance autophagy in Caco-2 cells, underscoring the significance of the miR-148b-3p/ATG14 signaling axis in human colon epithelial cells and IBS [66].

Mitochondrial DNA (mtDNA) is the only genetic material found in the nucleus. Single nucleotide polymorphisms in mtDNA may increase the risk of IBS because familial clustering of IBS often involves mothers and their offspring [67, 68]. ATP, which is necessary for mitochondria to supply cellular energy, is closely associated with mitochondrial dysfunction, which may result from high-energy requirements in nerves, muscles, and inflammatory cells associated with functional gastrointestinal diseases [67]. Previous studies have suggested that mtDNA polymorphisms are associated with IBS-D [69]. For example, Wange et al. [69] found increased polymorphisms in the MT-ATP 6 and 8 genes in the colon and terminal ileum of IBS-D patients compared to controls. In recent years, mitochondrial dysfunction has been shown to contribute to pain perception and chronic pain [70], and some evidence also suggests that abnormal energy metabolism is a possible mechanism leading to IBS [71], but this still needs to be further verified.

Discussion

Analysis of basic information

From the perspective of publications, since 2008, research on the correlation between IBS and ncRNA has shown rapid and stable growth, and the fitted curves show a positive development trend. The interdisciplinary nature of ncRNA and IBS publications emphasizes the importance of interdisciplinary collaborations in future research. IBS has garnered worldwide attention as a global public health problem, with notable contributions from countries such as China, the USA, and Germany that have actively engaged in academic exchanges and cooperation. Niesler Beate’ team has contributed immensely to ncRNA and IBS studies, especially the specific regulation of 5-HT receptor subunit variants with miRNAs, pointing out that mutations in 5-HT3E competitively inhibit the binding of miRNA-510 to the 3′-untranslated region (UTR) of 5-HT3E, which is somehow associated with increased IBS risk in women [27]. They also found that miR-16 and miR-125b downregulation was involved in regulating the upregulation of claudin-2 and cingulin in the jejunum to restore intestinal epithelial barrier function [72]. Although Niesler Beate contributed considerably, their collaboration with other teams was low. Therefore, researchers in the same field must enhance future exchanges and cooperation to foster the advancement of scientific research.

Hot spot and research trend

Based on highly co-cited documents and keyword clusters and emergence, the pathophysiological mechanisms of IBS involve microbial metabolism, VH, barrier function, the gut–brain axis, autophagy, and monosaccharide nucleotide polymorphisms, in which ncRNAs are involved. Therefore, the search for relevant ncRNA biomarkers as diagnostic and therapeutic candidates for IBS is a hot topic. Additionally, keyword emergence and timeline graphs show when the keywords first appeared in the field and how much attention they received. “microRNAs” had the highest burst intensity at 2.81. miRNAs are a class of RNA oligomers approximately 20–22 bases long that are single-stranded, non-coding RNAs that act as post-transcriptional regulators of gene expression by binding to complementary mRNAs on specific sequences, e.g., the 3′-UTR of target mRNAs, inducing cleavage or translational barriers to regulate target gene expression [73]. Approximately 60% of protein-coding in humans is regulated by miRNAs, and their expression changes can lead to various pathological developments [74–76], which is considered a candidate drug strategy for the diagnosis and treatment of various diseases [77–79]. miRNAs and gastrointestinal diseases, including IBS, exhibit considerable association. In addition, the identification of IBS in other diseases is an important topic. Incidentally, “inflammatory bowel disease” and “cancer” both displayed strong emergence intensity in keyword emergence. The early symptoms of bowel cancer are similar to those of IBS. IBS reportedly frequently co-exists with various gastrointestinal diseases, such as functional dyspepsia and IBD, sharing common clinical symptoms such as abdominal discomfort and pain. The diagnosis of IBS is often based on colonoscopy to exclude organic lesions. However, most patients are unwilling to bear the pain caused by colonoscopy. As a result, the clinical diagnosis of IBS is based on patient symptoms and fecal characteristics, which cannot achieve accurate diagnosis and treatment. Therefore, the development of precise biomarkers for IBS is crucial for accurate diagnosis and treatment.

ncRNA as a potential strategy for the diagnosis and treatment of IBS

As upstream regulators, ncRNAs have potentially important biological significance in IBS initiation, progression, diagnosis, and treatment. The potential advantages of ncRNAs, especially miRNAs, as novel IBS biomarkers are being actively explored. Previous studies have identified miRNAs such as miR-29a/b, miR-24, miR-510, miR-212, miR-150, miR-342-3p, miR-199a, miR-125b-5p, miR-16, miR-144, miR-200a, miR-214, and miR-103 as potential therapeutic targets for IBS [80, 81]. Simultaneously, some differentially expressed miRNAs have contributed to the diagnosis of different IBS subtypes [82]. Variations in transcriptomic profiles based on mRNA and miRNA may help distinguish UC from IBS [82]. Additionally, miRNA therapy has several advantages. For instance, studies have shown that multiple miRNAs have multiple regulatory mechanisms and are involved in multiple epigenetic events in IBS [83].

In recent years, significant advancements have been made in microbiology, with emerging evidence indicating that small intestinal bacterial overgrowth and microbial dysbiosis play roles in the pathological mechanisms of IBS [84, 85]. The concept of microbiota-gut-brain has received considerable attention in IBS. Consequently, evidence for guided therapies based on the IBS microbiome, such as probiotics, biostimulants, antibiotics, diet, and fecal microbiota transplantation, has become increasingly prominent [86–88]. The imbalance of intestinal flora is not only a pathological result of IBS but also a pathogenic factor. A study has found that specific changes in the composition of the intestinal microbiome, particularly variations in Bacteroidetes and Firmicutes, are key indicators of ecological imbalance in IBS-D [89]. Previous studies have shown that various miRNAs, including miR-223, miR-155, miR-150, and miR-143, are involved in miRNA-microbiota interactions in the gut [90]. Notably, these miRNAs and others, such as miR-18a*, miR-4802, miR-515-5p, and miR-1226-5p, shape the composition of gut microbiota, ultimately affecting the pathophysiology of intestinal disorders in the host [91]. Olyaiee et al. [92] tested the serum and feces of patients with IBS and found that miR-16 was downregulated, and the relative abundance of Thickettsia, Actinobacteria, and Enterococcus faecalis increased. Mansour et al. [93] found that the number of coliform bacteria increased in patients with IBS, while miR-199b expression decreased, particularly in patients with IBS-D, and intestinal flora negatively correlated with miR-199b. Therefore, exploring the relationship between gut microbiota and miRNAs in IBS is beneficial for clarifying the pathological mechanism of IBS and developing novel therapeutic agents that may bring new hope for the diagnosis and treatment of IBS.

Strengths and limitations

As a chronic gastrointestinal disorder that affects several individuals, IBS places a heavy burden on healthcare. Despite rapid growth in IBS-related research since Rome I, the diagnosis, pathophysiology, and treatment of IBS remain unclear. In recent years, studies on ncRNAs have shown that they are potential IBS biomarkers that can guide the diagnosis and treatment of IBS. However, the current status and trends of ncRNA studies in IBS have not been comprehensively analyzed. The present study is the first to use bibliometrics to analyze the developmental changes and hotspots of ncRNAs in IBS, focusing on the correlation between miRNAs and the pathological mechanism of IBS and its research trends, although other types of npcRNA were involved, but the literature was very few. This study had some limitations. First, the study may have obtained incomplete literature because of the limited search capacity of WoS, but it is worth noting that WoS is the most widely used scientometrics database, and visualization-based bibliometric analysis lays a foundation for researchers to quickly understand the hotspots and trends in a field. Second, the setting of the retrieval strategy does not guarantee that the included literature is completely consistent with the research topic. Earlier literature has a higher citation rate, and the latest achievements may have insufficient attention due to their late emergence time or inaccurate assessment of the degree of cooperation and contribution of institutions and researchers due to the movement of authors to different work units, among others. Therefore, a bibliometric analysis requires a dialectical view of the advantages and limitations of this method.

Conclusion

Based on the bibliometric software VOSviewer and CiteSpace, a visual analysis of ncRNAs in IBS was conducted. The main research areas of ncRNAs in IBS include the potential pathological mechanism of IBS, the search for potential ncRNA biomarkers for the diagnosis and treatment of IBS, and the mechanism and biological basis of ncRNA regulation of IBS. To our knowledge, this is the first bibliometric analysis to focus on ncRNAs in IBS, undoubtedly representing an intuitive and practical approach for new researchers who want to quickly understand the status and trends of research in the field or find partners. At the same time, the results of this study also suggest that finding and verifying the internal targets of ncRNAs in IBS are only the first step in the study of their interactions. The realization of clinical transformation to contribute to clinical practice by improving the diagnosis and treatment of IBS remains in the future.

Supplementary Information

Below is the link to the electronic supplementary material.

Acknowledgements

We thank Editage (https://www.editage.cn/) for its linguistic assistance during the preparation of this manuscript.

Author contributions

Conceptualization was contributed by HXC, TL, and JZC; writing the original draft was involved by HXC; figure conception and preparing did by HXC, HGZ, and JH; manuscript revision was performed by ZFX, LJH; figure revision was done by XRX, RN, and JLJ; and literature collection was responsible for STY, YHL, ZCL, and XYZ.

Funding

This study was supported by the National Key Research and Development Program of China (No. 2022YFC3500400).

Data availability

The original contributions presented in the study are included in the article/Supplementary material; further inquiries can be directed to the corresponding authors.

Declarations

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.

Ethical approval

Not application.

Footnotes

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Hongxiu Chen and Zhifang Xu have contributed equally to this work and share first authorship.

Contributor Information

Lijuan Ha, Email: halij_1987@126.com.

Xiaoru Xu, Email: emilyxuxiaoru@163.com.

Tie Li, Email: litie1999@126.com.

References

  • 1.Ford AC, Sperber AD, Corsetti M, Camilleri M. Irritable bowel syndrome. Lancet. 2020;396(10263):1675–88. 10.1016/s0140-6736(20)31548-8. [DOI] [PubMed] [Google Scholar]
  • 2.Vasant DH, Paine PA, Black CJ, et al. British society of gastroenterology guidelines on the management of irritable bowel syndrome. Gut. 2021;70(7):1214–40. 10.1136/gutjnl-2021-324598. [DOI] [PubMed] [Google Scholar]
  • 3.Lu J, Shi L, Huang D, et al. Depression and structural factors are associated with symptoms in patients of irritable bowel syndrome with diarrhea. J Neurogastroenterol Motil. 2020;26(4):505–13. 10.5056/jnm19166. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Zhang Z, Li Q, Zhang S, et al. Washed microbiota transplantation targeting both gastrointestinal and extraintestinal symptoms in patients with irritable bowel syndrome. Prog Neuropsychopharmacol Biol Psychiatr. 2023;127: 110839. 10.1016/j.pnpbp.2023.110839. [DOI] [PubMed] [Google Scholar]
  • 5.Tarar ZI, Farooq U, Zafar Y, et al. Burden of anxiety and depression among hospitalized patients with irritable bowel syndrome: a nationwide analysis. Ir J Med Sci. 2023;192(5):2159–66. 10.1007/s11845-022-03258-6. [DOI] [PubMed] [Google Scholar]
  • 6.Takeoka A, Kimura T, Hara S, Hamaguchi T, Fukudo S, Tayama J. Prevalence of irritable bowel syndrome in Japan, China, and South Korea: an international cross-sectional study. J Neurogastroenterol Motil. 2023;29(2):229–37. 10.5056/jnm22037. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Tack J, Stanghellini V, Mearin F, et al. Economic burden of moderate to severe irritable bowel syndrome with constipation in six European countries. BMC Gastroenterol. 2019;19(1):69. 10.1186/s12876-019-0985-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Yang Y, Wang J, Zhang C, et al. The efficacy and neural mechanism of acupuncture therapy in the treatment of visceral hypersensitivity in irritable bowel syndrome. Front Neurosci. 2023;17:1251470. 10.3389/fnins.2023.1251470. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.El-Salhy M. Intestinal bacteria associated with irritable bowel syndrome and chronic fatigue. Neurogastroenterol Motil. 2023;35(9): e14621. 10.1111/nmo.14621. [DOI] [PubMed] [Google Scholar]
  • 10.Aguilera-Lizarraga J, Hussein H, Boeckxstaens GE. Immune activation in irritable bowel syndrome: what is the evidence? Nat Rev Immunol. 2022;22(11):674–86. 10.1038/s41577-022-00700-9. [DOI] [PubMed] [Google Scholar]
  • 11.Osman U, LathaKumar A, Sadagopan A, et al. The effects of serotonin receptor type 7 modulation on bowel sensitivity and smooth muscle tone in patients with irritable bowel syndrome. Cureus. 2023;15(7):e42532. 10.7759/cureus.42532. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Zhao L, Ren P, Wang M, et al. Changes in intestinal barrier protein expression and intestinal flora in a rat model of visceral hypersensitivity. Neurogastroenterol Motil. 2022;34(4): e14299. 10.1111/nmo.14299. [DOI] [PubMed] [Google Scholar]
  • 13.Schmulson MJ, Drossman DA. What is new in Rome IV. J Neurogastroenterol Motil. 2017;23(2):151–63. 10.5056/jnm16214. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Camilleri M. Diagnosis and treatment of irritable bowel syndrome: a review. JAMA. 2021;325(9):865–77. 10.1001/jama.2020.22532. [DOI] [PubMed] [Google Scholar]
  • 15.Huang KY, Wang FY, Lv M, Ma XX, Tang XD, Lv L. Irritable bowel syndrome: epidemiology, overlap disorders, pathophysiology and treatment. World J Gastroenterol. 2023;29(26):4120–35. 10.3748/wjg.v29.i26.4120. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Dothel G, Barbaro MR, Di Vito A, et al. New insights into irritable bowel syndrome pathophysiological mechanisms: contribution of epigenetics. J Gastroenterol. 2023;58(7):605–21. 10.1007/s00535-023-01997-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Zhao W. Ling-Ling Chen: RNA has its own features; don’t study it as a protein. Natl Sci Rev. 2024;11(2):nwad287. 10.1093/nsr/nwad287. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Zhang Y, Peng Y, Xia X. Autoimmune diseases and gut microbiota: a bibliometric and visual analysis from 2004 to 2022. Clin Exp Med. 2023;23(6):2813–27. 10.1007/s10238-023-01028-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Jin L, Sun X, Ren H, Huang H. Hotspots and trends of biological water treatment based on bibliometric review and patents analysis. J Environ Sci (China). 2023;125:774–85. 10.1016/j.jes.2022.03.037. [DOI] [PubMed] [Google Scholar]
  • 20.Yang Z, Fan Z, Wang D, et al. Bibliometric and visualization analysis of stem cell therapy for meniscal regeneration from 2012 to 2022. Front Bioeng Biotechnol. 2023;11:1107209. 10.3389/fbioe.2023.1107209. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Wan C, Kong X, Liao Y, et al. Bibliometric analysis of the 100 most-cited papers about the role of gut microbiota in irritable bowel syndrome from 2000 to 2021. Clin Exp Med. 2023;23(6):2759–72. 10.1007/s10238-022-00971-5. [DOI] [PubMed] [Google Scholar]
  • 22.Tian S, Zhang H, Chen S, Wu P, Chen M. Global research progress of visceral hypersensitivity and irritable bowel syndrome: bibliometrics and visualized analysis. Front Pharmacol. 2023;14:1175057. 10.3389/fphar.2023.1175057. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Wu PN, Xiong S, Zhong P, Yang WQ, Chen M, Tang TC. Global trends in research on irritable bowel syndrome and the brain-gut axis: bibliometrics and visualization analysis. Front Pharmacol. 2022;13: 956204. 10.3389/fphar.2022.956204. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Zhang T, Ma X, Tian W, et al. Global research trends in irritable bowel syndrome: a bibliometric and visualized study. Front Med (Lausanne). 2022;9: 922063. 10.3389/fmed.2022.922063. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Zou X, Sun Y. Bibliometrics analysis of the research status and trends of the association between depression and insulin from 2010 to 2020. Front Psychiatr. 2021;12: 683474. 10.3389/fpsyt.2021.683474. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Spiller RC, Jenkins D, Thornley JP, et al. Increased rectal mucosal enteroendocrine cells, T lymphocytes, and increased gut permeability following acute Campylobacter enteritis and in post-dysenteric irritable bowel syndrome. Gut. 2000;47(6):804–11. 10.1136/gut.47.6.804. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Kapeller J, Houghton LA, Mönnikes H, et al. First evidence for an association of a functional variant in the microRNA-510 target site of the serotonin receptor-type 3E gene with diarrhea predominant irritable bowel syndrome. Hum Mol Genet. 2008;17(19):2967–77. 10.1093/hmg/ddn195. [DOI] [PubMed] [Google Scholar]
  • 28.Zhou Q, Zhang B, Verne GN. Intestinal membrane permeability and hypersensitivity in the irritable bowel syndrome. Pain. 2009;146(1–2):41–6. 10.1016/j.pain.2009.06.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Bertiaux-Vandaële N, Youmba SB, Belmonte L, et al. The expression and the cellular distribution of the tight junction proteins are altered in irritable bowel syndrome patients with differences according to the disease subtype. Am J Gastroenterol. 2011;106(12):2165–73. 10.1038/ajg.2011.257. [DOI] [PubMed] [Google Scholar]
  • 30.Hou Q, Huang Y, Zhang C, et al. MicroRNA-200a targets cannabinoid receptor 1 and serotonin transporter to increase visceral hyperalgesia in diarrhea-predominant irritable bowel syndrome rats. J Neurogastroenterol Motil. 2018;24(4):656–68. 10.5056/jnm18037. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Hou Q, Huang Y, Zhu S, et al. MiR-144 increases intestinal permeability in IBS-D rats by targeting OCLN and ZO1. Cell Physiol Biochem. 2017;44(6):2256–68. 10.1159/000486059. [DOI] [PubMed] [Google Scholar]
  • 32.Zhou Q, Souba WW, Croce CM, Verne GN. MicroRNA-29a regulates intestinal membrane permeability in patients with irritable bowel syndrome. Gut. 2010;59(6):775–84. 10.1136/gut.2009.181834. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Zhou Q, Costinean S, Croce CM, et al. MicroRNA 29 targets nuclear factor-κB-repressing factor and Claudin 1 to increase intestinal permeability. Gastroenterology. 2015;148(1):158-169.e8. 10.1053/j.gastro.2014.09.037. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Ling Y, Ding L, Tian Z, Pei L, Wu E. YINDARA-4 relieves visceral hypersensitivity in irritable bowel syndrome rats via regulation of gut microbiota and serotonin levels. Acupunct Herb Med. 2022;2(4):274–83. 10.1097/hm9.0000000000000042. [Google Scholar]
  • 35.Jin DC, Cao HL, Xu MQ, et al. Regulation of the serotonin transporter in the pathogenesis of irritable bowel syndrome. World J Gastroenterol. 2016;22(36):8137–48. 10.3748/wjg.v22.i36.8137. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Foley S, Garsed K, Singh G, et al. Impaired uptake of serotonin by platelets from patients with irritable bowel syndrome correlates with duodenal immune activation. Gastroenterology. 2011;140(5):1434-43.e1. 10.1053/j.gastro.2011.01.052. [DOI] [PubMed] [Google Scholar]
  • 37.Liao XJ, Mao WM, Wang Q, Yang GG, Wu WJ, Shao SX. MicroRNA-24 inhibits serotonin reuptake transporter expression and aggravates irritable bowel syndrome. Biochem Biophys Res Commun. 2016;469(2):288–93. 10.1016/j.bbrc.2015.11.102. [DOI] [PubMed] [Google Scholar]
  • 38.Zhu H, Xiao X, Chai Y, Li D, Yan X, Tang H. MiRNA-29a modulates visceral hyperalgesia in irritable bowel syndrome by targeting HTR7. Biochem Biophys Res Commun. 2019;511(3):671–8. 10.1016/j.bbrc.2019.02.126. [DOI] [PubMed] [Google Scholar]
  • 39.Wohlfarth C, Schmitteckert S, Härtle JD, et al. miR-16 and miR-103 impact 5-HT(4) receptor signalling and correlate with symptom profile in irritable bowel syndrome. Sci Rep. 2017;7(1):14680. 10.1038/s41598-017-13982-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Zhang Y, Zhang H, Zhang W, Zhang Y, Wang W, Nie L. LncRNA XIST modulates 5-hydroxytrytophan-induced visceral hypersensitivity by epigenetic silencing of the SERT gene in mice with diarrhea-predominant IBS. Cell Signal. 2020;73: 109674. 10.1016/j.cellsig.2020.109674. [DOI] [PubMed] [Google Scholar]
  • 41.Yang YC, Zhou ZX, Xue T, et al. Effect of electroacupuncture on visceral sensitivity and colonic NGF, TrkA, TRPV1 expression in IBS-D rats. Zhongguo Zhen Jiu. 2022;42(12):1395–402. 10.13703/j.0255-2930.20220130-0005. [DOI] [PubMed] [Google Scholar]
  • 42.Zhou Q, Yang L, Larson S, et al. Decreased miR-199 augments visceral pain in patients with IBS through translational upregulation of TRPV1. Gut. 2016;65(5):797–805. 10.1136/gutjnl-2013-306464. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Pei L, Chen H, Guo J, et al. Effect of acupuncture and its influence on visceral hypersensitivity in IBS-D patients: study protocol for a randomized controlled trial. Medicine (Baltimore). 2018;97(21): e10877. 10.1097/md.0000000000010877. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Fei L, Wang Y. microRNA-495 reduces visceral sensitivity in mice with diarrhea-predominant irritable bowel syndrome through suppression of the PI3K/AKT signaling pathway via PKIB. IUBMB Life. 2020;72(7):1468–80. 10.1002/iub.2270. [DOI] [PubMed] [Google Scholar]
  • 45.Liu Y, Chen Z, Lin W, et al. Role of hippocampal circKcnk9 in visceral hypersensitivity and anxiety comorbidity of irritable bowel syndrome. Front Cell Neurosci. 2022;16:1010107. 10.3389/fncel.2022.1010107. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Mahurkar-Joshi S, Rankin CR, Videlock EJ, et al. The colonic mucosal MicroRNAs, MicroRNA-219a-5p, and MicroRNA-338-3p are downregulated in irritable bowel syndrome and are associated with barrier function and MAPK signaling. Gastroenterology. 2021;160(7):2409-2422.e19. 10.1053/j.gastro.2021.02.040. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Laforenza U. Water channel proteins in the gastrointestinal tract. Mol Aspects Med. 2012;33(5–6):642–50. 10.1016/j.mam.2012.03.001. [DOI] [PubMed] [Google Scholar]
  • 48.Zhang W, Xu Y, Chen Z, Xu Z, Xu H. Knockdown of aquaporin 3 is involved in intestinal barrier integrity impairment. FEBS Lett. 2011;585(19):3113–9. 10.1016/j.febslet.2011.08.045. [DOI] [PubMed] [Google Scholar]
  • 49.Chao G, Wang Y, Zhang S, Yang W, Ni Z, Zheng X. MicroRNA-29a increased the intestinal membrane permeability of colonic epithelial cells in irritable bowel syndrome rats. Oncotarget. 2017;8(49):85828–37. 10.18632/oncotarget.20687. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Thabane M, Kottachchi DT, Marshall JK. Systematic review and meta-analysis: the incidence and prognosis of post-infectious irritable bowel syndrome. Aliment Pharmacol Ther. 2007;26(4):535–44. 10.1111/j.1365-2036.2007.03399.x. [DOI] [PubMed] [Google Scholar]
  • 51.Chen J, Zhang Y, Deng Z. Imbalanced shift of cytokine expression between T helper 1 and T helper 2 (Th1/Th2) in intestinal mucosa of patients with post-infectious irritable bowel syndrome. BMC Gastroenterol. 2012;12:91. 10.1186/1471-230x-12-91. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Vanuytsel T, Bercik P, Boeckxstaens G. Understanding neuroimmune interactions in disorders of gut-brain interaction: from functional to immune-mediated disorders. Gut. 2023;72(4):787–98. 10.1136/gutjnl-2020-320633. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Brasier AR. The nuclear factor-kappaB-interleukin-6 signalling pathway mediating vascular inflammation. Cardiovasc Res. 2010;86(2):211–8. 10.1093/cvr/cvq076. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Li Q, von Ehrlich-Treuenstätt V, Schardey J, et al. Gut barrier dysfunction and bacterial lipopolysaccharides in colorectal cancer. J Gastrointest Surg. 2023;27(7):1466–72. 10.1007/s11605-023-05654-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Xi M, Zhao P, Li F, et al. MicroRNA-16 inhibits the TLR4/NF-κB pathway and maintains tight junction integrity in irritable bowel syndrome with diarrhea. J Biol Chem. 2022;298(11): 102461. 10.1016/j.jbc.2022.102461. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Ji LJ, Li F, Zhao P, et al. Silencing interleukin 1α underlies a novel inhibitory role of miR-181c-5p in alleviating low-grade inflammation of rats with irritable bowel syndrome. J Cell Biochem. 2019;120(9):15268–79. 10.1002/jcb.28794. [DOI] [PubMed] [Google Scholar]
  • 57.Fourie NH, Peace RM, Abey SK, et al. Elevated circulating miR-150 and miR-342-3p in patients with irritable bowel syndrome. Exp Mol Pathol. 2014;96(3):422–5. 10.1016/j.yexmp.2014.04.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Zhang Y, Wu X, Wu J, et al. Decreased expression of microRNA-510 in intestinal tissue contributes to post-infectious irritable bowel syndrome via targeting PRDX1. Am J Transl Res. 2019;11(12):7385–97. [PMC free article] [PubMed] [Google Scholar]
  • 59.Drossman DA, Hasler WL. Rome IV-functional GI disorders: disorders of gut-brain interaction. Gastroenterology. 2016;150(6):1257–61. 10.1053/j.gastro.2016.03.035. [DOI] [PubMed] [Google Scholar]
  • 60.Chai Y, Lu Y, Yang L, et al. Identification and potential functions of tRNA-derived small RNAs (tsRNAs) in irritable bowel syndrome with diarrhea. Pharmacol Res. 2021;173: 105881. 10.1016/j.phrs.2021.105881. [DOI] [PubMed] [Google Scholar]
  • 61.Thein W, Po WW, Choi WS, Sohn UD. Autophagy and digestive disorders: advances in understanding and therapeutic approaches. Biomol Ther (Seoul). 2021;29(4):353–64. 10.4062/biomolther.2021.086. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Nighot PK, Hu CA, Ma TY. Autophagy enhances intestinal epithelial tight junction barrier function by targeting claudin-2 protein degradation. J Biol Chem. 2015;290(11):7234–46. 10.1074/jbc.M114.597492. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Hu CA, Hou Y, Yi D, et al. Autophagy and tight junction proteins in the intestine and intestinal diseases. Anim Nutr. 2015;1(3):123–7. 10.1016/j.aninu.2015.08.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Cao X, Zhang X, Chen J, et al. miR-100–5p activation of the autophagy response through inhibiting the mTOR pathway and suppression of cerebral infarction progression in mice. Aging (Albany NY). 2023;15(16):8315–24. 10.18632/aging.204971. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Zhang P, Gong S, Li S, Yuan Z. PVT1 alleviates hypoxia-induced endothelial apoptosis by enhancing autophagy via the miR-15b-5p/ATG14 and miR-424-5p/ATG14 axis. Biochem Biophys Res Commun. 2023;671:1–9. 10.1016/j.bbrc.2023.06.001. [DOI] [PubMed] [Google Scholar]
  • 66.Fu R, Liu S, Zhu M, Zhu J, Chen M. Apigenin reduces the suppressive effect of exosomes derived from irritable bowel syndrome patients on the autophagy of human colon epithelial cells by promoting ATG14. World J Surg Oncol. 2023;21(1):95. 10.1186/s12957-023-02963-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.Camilleri M, Carlson P, Zinsmeister AR, et al. Mitochondrial DNA and gastrointestinal motor and sensory functions in health and functional gastrointestinal disorders. Am J Physiol Gastrointest Liver Physiol. 2009;296(3):G510–6. 10.1152/ajpgi.90650.2008. [DOI] [PubMed] [Google Scholar]
  • 68.Saito YA, Zimmerman JM, Harmsen WS, et al. Irritable bowel syndrome aggregates strongly in families: a family-based case-control study. Neurogastroenterol Motil. 2008;20(7):790–7. 10.1111/j.1365-2982.2007.1077.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Wang WF, Li X, Guo MZ, et al. Mitochondrial ATP 6 and 8 polymorphisms in irritable bowel syndrome with diarrhea. World J Gastroenterol. 2013;19(24):3847–53. 10.3748/wjg.v19.i24.3847. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70.Sui BD, Xu TQ, Liu JW, et al. Understanding the role of mitochondria in the pathogenesis of chronic pain. Postgrad Med J. 2013;89(1058):709–14. 10.1136/postgradmedj-2012-131068. [DOI] [PubMed] [Google Scholar]
  • 71.Zhang CY, Yao X, Sun G, Yang YS. Close association between abnormal expressed enzymes of energy metabolism and diarrhea-predominant irritable bowel syndrome. Chin Med J (Engl). 2019;132(2):135–44. 10.1097/cm9.0000000000000003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72.Martínez C, Rodiño-Janeiro BK, Lobo B, et al. miR-16 and miR-125b are involved in barrier function dysregulation through the modulation of claudin-2 and cingulin expression in the jejunum in IBS with diarrhoea. Gut. 2017;66(9):1537–8. 10.1136/gutjnl-2016-311477. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73.Treiber T, Treiber N, Meister G. Regulation of microRNA biogenesis and its crosstalk with other cellular pathways. Nat Rev Mol Cell Biol. 2019;20(1):5–20. 10.1038/s41580-018-0059-1. [DOI] [PubMed] [Google Scholar]
  • 74.Nguyen TPN, Kumar M, Fedele E, Bonanno G, Bonifacino T. MicroRNA alteration, application as biomarkers, and therapeutic approaches in neurodegenerative diseases. Int J Mol Sci. 2022. 10.3390/ijms23094718. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.Lukiw WJ. MicroRNA (miRNA) complexity in Alzheimer’s disease (AD). Biology (Basel). 2023. 10.3390/biology12060788. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Miśkiewicz J, Mielczarek-Palacz A, Gola JM. MicroRNAs as potential biomarkers in gynecological cancers. Biomedicines. 2023. 10.3390/biomedicines11061704. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77.Liu M, Cho WC, Flynn RJ, Jin X, Song H, Zheng Y. microRNAs in parasite-induced liver fibrosis: from mechanisms to diagnostics and therapeutics. Trends Parasitol. 2023;39(10):859–72. 10.1016/j.pt.2023.07.001. [DOI] [PubMed] [Google Scholar]
  • 78.Sadri F, Hosseini SF, Rezaei Z, Fereidouni M. Hippo-YAP/TAZ signaling in breast cancer: reciprocal regulation of microRNAs and implications in precision medicine. Genes Dis. 2024;11(2):760–71. 10.1016/j.gendis.2023.01.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79.Ghosh C, Hu J, Kebebew E. Advances in translational research of the rare cancer type adrenocortical carcinoma. Nat Rev Cancer. 2023;23(12):805–24. 10.1038/s41568-023-00623-0. [DOI] [PubMed] [Google Scholar]
  • 80.Nakov R, Snegarova V, Dimitrova-Yurukova D, Velikova T. Biomarkers in irritable bowel syndrome: biological rationale and diagnostic value. Dig Dis. 2022;40(1):23–32. 10.1159/000516027. [DOI] [PubMed] [Google Scholar]
  • 81.Thomas Dupont P, Izaguirre-Hernández IY, Remes-Troche JM. Contribution of MicroRNAs in the development of irritable bowel syndrome symptoms. J Gastrointestin Liver Dis. 2023;32(2):230–40. 10.15403/jgld-4676. [DOI] [PubMed] [Google Scholar]
  • 82.Fourie NH, Peace RM, Abey SK, Sherwin LB, Wiley JW, Henderson WA. Perturbations of circulating miRNAs in irritable bowel syndrome detected using a multiplexed high-throughput gene expression platform. J Vis Exp. 2016. 10.3791/54693. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83.Zhou Q, Verne GN. miRNA-based therapies for the irritable bowel syndrome. Expert Opin Biol Ther. 2011;11(8):991–5. 10.1517/14712598.2011.577060. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84.Talley NJ, Irani M, Keely S. Bacterial therapy for irritable bowel syndrome. Lancet Gastroenterol Hepatol. 2020;5(7):627–9. 10.1016/s2468-1253(20)30079-0. [DOI] [PubMed] [Google Scholar]
  • 85.Singh P, Lembo A. Emerging role of the gut microbiome in irritable bowel syndrome. Gastroenterol Clin North Am. 2021;50(3):523–45. 10.1016/j.gtc.2021.03.003. [DOI] [PubMed] [Google Scholar]
  • 86.Harris LA, Baffy N. Modulation of the gut microbiota: a focus on treatments for irritable bowel syndrome. Postgrad Med. 2017;129(8):872–88. 10.1080/00325481.2017.1383819. [DOI] [PubMed] [Google Scholar]
  • 87.Simon E, Călinoiu LF, Mitrea L, Vodnar DC. Probiotics, prebiotics, and synbiotics: implications and beneficial effects against irritable bowel syndrome. Nutrients. 2021. 10.3390/nu13062112. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88.Shrestha B, Patel D, Shah H, et al. The role of gut-microbiota in the pathophysiology and therapy of irritable bowel syndrome: a systematic review. Cureus. 2022;14(8): e28064. 10.7759/cureus.28064. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 89.Wang Z, Xu CM, Liu YX, et al. Characteristic dysbiosis of gut microbiota of Chinese patients with diarrhea-predominant irritable bowel syndrome by an insight into the pan-microbiome. Chin Med J (Engl). 2019;132(8):889–904. 10.1097/cm9.0000000000000192. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 90.Bi K, Zhang X, Chen W, Diao H. MicroRNAs regulate intestinal immunity and gut microbiota for gastrointestinal health: a comprehensive review. Genes (Basel). 2020. 10.3390/genes11091075. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 91.Li M, Chen WD, Wang YD. The roles of the gut microbiota-miRNA interaction in the host pathophysiology. Mol Med. 2020;26(1):101. 10.1186/s10020-020-00234-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 92.Olyaiee A, Yadegar A, Mirsamadi ES, Sadeghi A, Mirjalali H. Profiling of the fecal microbiota and circulating microRNA-16 in IBS subjects with Blastocystis infection : a case-control study. Eur J Med Res. 2023;28(1):483. 10.1186/s40001-023-01441-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 93.Mansour MA, Sabbah NA, Mansour SA, Ibrahim AM. MicroRNA-199b expression level and coliform count in irritable bowel syndrome. IUBMB Life. 2016;68(5):335–42. 10.1002/iub.1495. [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 original contributions presented in the study are included in the article/Supplementary material; further inquiries can be directed to the corresponding authors.


Articles from Clinical and Experimental Medicine are provided here courtesy of Springer

RESOURCES