| Literature DB >> 31470803 |
Sa'ed H Zyoud1,2,3, Simon Smale4, W Stephen Waring5, Waleed M Sweileh6, Samah W Al-Jabi7.
Abstract
BACKGROUND: The pathways and mechanism by which associations between the gut microbiome and the brain, termed the microbiome-gut-brain axis (MGBA), are manifest but remain to be fully elucidated. This study aims to use bibliometric analysis to estimate the global activity within this rapidly developing field and to identify particular areas of focus that are of current relevance to the MGBA during the last decade (2009-2018).Entities:
Keywords: Bibliometric; Gut microbiome-brain axis; Gut microbiota; Microbiome; Scopus
Mesh:
Year: 2019 PMID: 31470803 PMCID: PMC6716890 DOI: 10.1186/s12876-019-1076-z
Source DB: PubMed Journal: BMC Gastroenterol ISSN: 1471-230X Impact factor: 3.067
Fig. 1Quantitative growth process of the publications concerning microbiome-gut-brain axis (a) and microbiome in all fields (b) in the period of 10 years
Fig. 2Research topics clustered by mapping of co-occurrences of terms in title/abstract for publications related to microbiome-gut-brain axis (MGBA). Of the 30,250 terms, 179 terms occurred at least 50 times. For each of the 179 terms, a relevance score was calculated and used to select the 60% most relevant terms. In Fig. 2, the size of the circles represents the occurrences of terms in title/abstract. The largest set of connected terms consists of 107 terms in four clusters. The four clusters can be broadly interpreted as “modeling MGBA in animal systems (red cluster)”, “interplay between the gut microbiota and the immune system (green cluster)”, “irritable bowel syndrome related to gut microbiota (blue cluster)”, and “neurodegenerative diseases related to gut microbiota (yellow cluster)”
Ten leading countries in the publications concerning microbiome-gut-brain axis
| SCR | Country | Number of documents (%) | No. of collaborated countries | No. of articles from collaboration | |
|---|---|---|---|---|---|
| 1st | United States | 585 (34.2) | 69 | 48 | 189 |
| 2nd | Ireland | 161 (9.4) | 58 | 21 | 58 |
| 3rd | China | 155 (9.1) | 28 | 22 | 56 |
| 4th | Canada | 144 (8.4) | 43 | 30 | 67 |
| 5th | United Kingdom | 127 (7.4) | 37 | 31 | 83 |
| 6th | Italy | 121 (7.1) | 26 | 28 | 42 |
| 7th | France | 102 (6.0) | 29 | 28 | 48 |
| 8th | Australia | 82 (4.8) | 25 | 19 | 43 |
| 9th | Germany | 81 (4.7) | 24 | 24 | 45 |
| 10th | Spain | 65 (3.8) | 21 | 29 | 34 |
SCR Standard competition ranking
Fig. 3Network visualization map for country collaboration. Of the 86 countries, 35 had at least ten publications; the largest set of connected countries consists of 34 countries. The size of frame represents the number of publications of the country and the thickness of lines signifies the size of collaboration between the countries, while 6 different colors seen in this figure represent the collaboration cluster of the countries
Fig. 4Network visualization map for author collaboration. Of the 6054 authors, 25 had at least ten publications; the largest set of connected authors consists of 20 authors. The size of frame represents the number of publications of the author and the thickness of lines signifies the size of collaboration between the authors, while 5 different colors seen in this figure represent the collaboration cluster of the authors
The most productive journals in the microbiome-gut-brain axis research
| SCRa | Journal | Frequency (%) | IFb |
|---|---|---|---|
| 1st |
| 49 (2.86) | 6.170 |
| 2nd |
| 34 (1.98) | 4.011 |
| 3rd |
| 33 (1.93) | 2.776 |
| 4th |
| 23 (1.34) | 7.823 |
| 4th |
| 23 (1.34) | 3.411 |
| 6th |
| 22 (1.28) | 3.803 |
| 7th |
| 20 (1.17) | 4.259 |
| 8th |
| 19 (1.11) | 4.171 |
| 9th |
| 15 (0.88) | 2.126 |
| 10th |
| 14 (0.82) | 23.57 |
SCR Standard competition ranking, IF Impact factor
aEqual journals have the same ranking number, and then a gap is left in the ranking numbers
bImpact factors (IF) based on Journal Citation Reports (JCR) 2018 from Clarivate Analytics
The 20 most influential articles in the microbiome-gut-brain axis research
| SCRa | Authors | Title | Year of publication | Source title | Cited by |
|---|---|---|---|---|---|
| 1st | Nicholson et al. [ | “Host-gut microbiota metabolic interactions” | 2012 |
| 1490 |
| 2nd | Cryan and Dinan [ | “Mind-altering microorganisms: The impact of the gut microbiota on brain and behavior” | 2012 |
| 1204 |
| 3rd | Heijtz et al. [ | “Normal gut microbiota modulates brain development and behavior” | 2011 |
| 1116 |
| 4th | Hsiao et al. [ | “Microbiota modulate behavioral and physiological abnormalities associated with neurodevelopmental disorders” | 2013 |
| 1041 |
| 5th | Bravo et al. [ | “Ingestion of Lactobacillus strain regulates emotional behavior and central GABA receptor expression in a mouse via the vagus nerve” | 2011 |
| 1028 |
| 6th | Foster and McVey Neufeld [ | “Gut-brain axis: How the microbiome influences anxiety and depression” | 2013 |
| 612 |
| 7th | Bercik et al. [ | “The intestinal microbiota affect central levels of brain-derived neurotropic factor and behavior in mice” | 2011 |
| 602 |
| 8th | Collins et al. [ | “The interplay between the intestinal microbiota and the brain” | 2012 |
| 566 |
| 8th | Berer et al. [ | “Commensal microbiota and myelin autoantigen cooperate to trigger autoimmune demyelination” | 2011 |
| 566 |
| 10th | De Vadder et al. [ | “Microbiota-generated metabolites promote metabolic benefits via gut-brain neural circuits” | 2014 |
| 525 |
| 11th | Neufeld et al. [ | “Reduced anxiety-like behavior and central neurochemical change in germ-free mice” | 2011 |
| 522 |
| 12th | O’Mahony et al. [ | “Early Life Stress Alters Behavior, Immunity, and Microbiota in Rats: Implications for Irritable Bowel Syndrome and Psychiatric Illnesses” | 2009 |
| 521 |
| 13th | Clarke et al. [ | “The microbiome-gut-brain axis during early life regulates the hippocampal serotonergic system in a sex-dependent manner” | 2013 |
| 476 |
| 14th | Sampson et al. [ | “Gut microbiota regulate motor deficits and neuroinflammation in a model of parkinson’s disease” | 2016 |
| 455 |
| 15th | Tillisch et al. [ | “Consumption of fermented milk product with probiotic modulates brain activity” | 2013 |
| 445 |
| 16th | Rhee et al. [ | “Principles and clinical implications of the brain-gut-enteric microbiota axis” | 2009 |
| 444 |
| 17th | Braniste et al. [ | “The gut microbiota influences blood-brain barrier permeability in mice” | 2014 |
| 378 |
| 18th | Scheperjans et al. [ | “Gut microbiota are related to Parkinson’s disease and clinical phenotype” | 2015 |
| 361 |
| 19th | O’Mahony et al. [ | “Serotonin, tryptophan metabolism and the brain-gut-microbiome axis” | 2015 |
| 356 |
| 20th | Cryan and O’Mahony [ | “The microbiome-gut-brain axis: From bowel to behavior” | 2011 |
| 347 |
SCR Standard competition ranking
aEqual citations have the same ranking number, and then a gap is left in the ranking numbers
The top ten most productive institutes
| SCRa | Institute | Country | n (%) |
|---|---|---|---|
| 1st | University College Cork | Ireland | 152 (8.87) |
| 2nd | McMaster University | Canada | 67 (3.91) |
| 3rd | INSERM (Institut national de la santé et de la recherche médicale) | France | 43 (2.51) |
| 4th | INRA (Institut National de La Recherche Agronomique) | France | 41 (2.39) |
| 5th | University of California, Los Angeles | USA | 29 (1.69) |
| 6th | Teagasc - Irish Agriculture and Food Development Authority | Ireland | 28 (1.63) |
| 7th | St. Joseph’s Healthcare Hamilton | Canada | 26 (1.52) |
| 8th | David Geffen School of Medicine at UCLA | USA | 23 (1.34) |
| 9th | The University of North Carolina at Chapel Hill | USA | 22 (1.28) |
| 10th | Universite Catholique de Louvain | Belgium | 19 (1.11) |
| 10th | University of California, San Diego | USA | 19 (1.11) |
| 10th | Københavns Universitet | Denmark | 19 (1.11) |
aEqual institutions have the same ranking number, and then a gap is left in the ranking numbers