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Review
. 2017 Apr;11(4):841-852.
doi: 10.1038/ismej.2016.176. Epub 2017 Jan 3.

Faecalibacterium prausnitzii: from microbiology to diagnostics and prognostics

Affiliations
Review

Faecalibacterium prausnitzii: from microbiology to diagnostics and prognostics

Mireia Lopez-Siles et al. ISME J. 2017 Apr.

Abstract

There is an increasing interest in Faecalibacterium prausnitzii, one of the most abundant bacterial species found in the gut, given its potentially important role in promoting gut health. Although some studies have phenotypically characterized strains of this species, it remains a challenge to determine which factors have a key role in maintaining the abundance of this bacterium in the gut. Besides, phylogenetic analysis has shown that at least two different F. prausnitzii phylogroups can be found within this species and their distribution is different between healthy subjects and patients with gut disorders. It also remains unknown whether or not there are other phylogroups within this species, and also if other Faecalibacterium species exist. Finally, many studies have shown that F. prausnitzii abundance is reduced in different intestinal disorders. It has been proposed that F. prausnitzii monitoring may therefore serve as biomarker to assist in gut diseases diagnostics. In this mini-review, we aim to serve as an overview of F. prausnitzii phylogeny, ecophysiology and diversity. In addition, strategies to modulate the abundance of F. prausnitzii in the gut as well as its application as a biomarker for diagnostics and prognostics of gut diseases are discussed. This species may be a useful potential biomarker to assist in ulcerative colitis and Crohn's disease discrimination.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Biomarker of choice to discriminate between conditions. Selected pair wise comparisons of conditions are represented taking into account the difficulty of diagnosis or the risk of progression. The four options of biomarkers (F. prausnitzii, the two phylogroups or the F. prausnitzii-E. coli index calculated as (Lopez-Siles et al., 2014)), have been ranked according to their discriminative power estimated as the sum of all the AUC values for all the pair wise comparisons taking into account all the conditions. For each comparison, the highest AUC value achieved is depicted. H, healthy control group; F, total F. prausnitzii load; PHG I, F. prausnitzii phylogroup I load; PHG II, F. prausnitzii phylogroup II load; F-E index, F. prausnitzii- E. coli index; AUC, area under the ROC curve; ROC, receiver operating characteristic curve.
Figure 2
Figure 2
Biomarker of choice to discriminate between IBD locations. Selected pair wise comparisons of conditions are represented taking into account the difficulty of diagnosis or the risk of progression. The four options of biomarkers (F. prausnitzii, the two phylogroups or F. prausnitzii-E. coli index calculated as (Lopez-Siles et al., 2014)), have been ranked according to their discriminative power estimated as the sum of all the AUC values for all the pair wise comparisons taking into account all the conditions. For each comparison, the highest AUC value achieved is depicted. E1, Ulcerative proctitis, E2, Distal or left-sided UC; E3, pancolitis or universal colitis; I-CD, ileal CD; IC-CD, ileocolonic CD; C-CD, colonic CD; F, total F. prausnitzii load; PHG I, F. prausnitzii phylogroup I load; PHG II, F. prausnitzii phylogroup II load; F-E index, F. prausnitzii- E. coli index; AUC, area under the ROC curve; ROC, receiver operating characteristic curve.
Figure 3
Figure 3
F. prausnitzii populations in healthy gut and in patients with IBD. In IBD patients, alteration of gut environment may affect F. prausnitzii population composition and load. These differences can be monitored to discriminate within IBD subtypes.

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