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Differences in gut microbial composition correlate with regional brain volumes in irritable bowel syndrome

Overview of attention for article published in Microbiome, May 2017
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  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#18 of 1,157)
  • High Attention Score compared to outputs of the same age (99th percentile)

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131 Dimensions

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Title
Differences in gut microbial composition correlate with regional brain volumes in irritable bowel syndrome
Published in
Microbiome, May 2017
DOI 10.1186/s40168-017-0260-z
Pubmed ID
Authors

Jennifer S. Labus, Emily B. Hollister, Jonathan Jacobs, Kyleigh Kirbach, Numan Oezguen, Arpana Gupta, Jonathan Acosta, Ruth Ann Luna, Kjersti Aagaard, James Versalovic, Tor Savidge, Elaine Hsiao, Kirsten Tillisch, Emeran A. Mayer

Abstract

Preclinical and clinical evidence supports the concept of bidirectional brain-gut microbiome interactions. We aimed to determine if subgroups of irritable bowel syndrome (IBS) subjects can be identified based on differences in gut microbial composition, and if there are correlations between gut microbial measures and structural brain signatures in IBS. Behavioral measures, stool samples, and structural brain images were collected from 29 adult IBS and 23 healthy control subjects (HCs). 16S ribosomal RNA (rRNA) gene sequencing was used to profile stool microbial communities, and various multivariate analysis approaches were used to quantitate microbial composition, abundance, and diversity. The metagenomic content of samples was inferred from 16S rRNA gene sequence data using Phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PICRUSt). T1-weighted brain images were acquired on a Siemens Allegra 3T scanner, and morphological measures were computed for 165 brain regions. Using unweighted Unifrac distances with hierarchical clustering on microbial data, samples were clustered into two IBS subgroups within the IBS population (IBS1 (n = 13) and HC-like IBS (n = 16)) and HCs (n = 23) (AUROC = 0.96, sensitivity 0.95, specificity 0.67). A Random Forest classifier provided further support for the differentiation of IBS1 and HC groups. Microbes belonging to the genera Faecalibacterium, Blautia, and Bacteroides contributed to this subclassification. Clinical features distinguishing the groups included a history of early life trauma and duration of symptoms (greater in IBS1), but not self-reported bowel habits, anxiety, depression, or medication use. Gut microbial composition correlated with structural measures of brain regions including sensory- and salience-related regions, and with a history of early life trauma. The results confirm previous reports of gut microbiome-based IBS subgroups and identify for the first time brain structural alterations associated with these subgroups. They provide preliminary evidence for the involvement of specific microbes and their predicted metabolites in these correlations.

Twitter Demographics

The data shown below were collected from the profiles of 178 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 332 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sweden 1 <1%
Unknown 331 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 55 17%
Student > Bachelor 48 14%
Student > Ph. D. Student 47 14%
Student > Master 46 14%
Other 24 7%
Other 57 17%
Unknown 55 17%
Readers by discipline Count As %
Medicine and Dentistry 67 20%
Neuroscience 42 13%
Biochemistry, Genetics and Molecular Biology 39 12%
Agricultural and Biological Sciences 37 11%
Nursing and Health Professions 21 6%
Other 52 16%
Unknown 74 22%

Attention Score in Context

This research output has an Altmetric Attention Score of 371. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 May 2021.
All research outputs
#51,815
of 19,163,209 outputs
Outputs from Microbiome
#18
of 1,157 outputs
Outputs of similar age
#1,649
of 277,046 outputs
Outputs of similar age from Microbiome
#1
of 2 outputs
Altmetric has tracked 19,163,209 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,157 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.1. This one has done particularly well, scoring higher than 98% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 277,046 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them