Evidence map›Paper›PMID 33723291›Full record

ArticleScientific reports2021

Specific microbiome profile in Takayasu's arteritis and giant cell arteritis.

Anne Claire Desbois, Dragos Ciocan, David Saadoun, Gabriel Perlemuter, Patrice Cacoub

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Pathological Alterations in Human Blood Microbiome-An Updated Review.International journal of molecular sciences · 2025
    Review
  6. Review
  7. Review
  8. Article
  9. Review
  10. Review
  11. Review
  12. Article
  13. [EJNMMI research · 2023
    Article
  14. Review
  15. Article
  16. Review
  17. Animal models for large vessel vasculitis - The unmet need.Rheumatology and immunology research · 2023
    Review
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Anne Claire Desbois *INSERM, UMR_S 959, Inflammation-Immunopathology-Biotherapy Department, Sorbonne Université, UPMC University of Paris, Paris, France. anneclaire.desbois@aphp.fr.
Dragos Ciocan *INSERM U996, Inflammation Chemokines and Immunopathology, DHU Hépatinov, Faculté de Médecine-Univ Paris-Sud, Université Paris-Saclay, Clamart, France.
David SaadounINSERM, UMR_S 959, Inflammation-Immunopathology-Biotherapy Department, Sorbonne Université, UPMC University of Paris, Paris, France.
Gabriel PerlemuterINSERM U996, Inflammation Chemokines and Immunopathology, DHU Hépatinov, Faculté de Médecine-Univ Paris-Sud, Université Paris-Saclay, Clamart, France.
Patrice CacoubINSERM, UMR_S 959, Inflammation-Immunopathology-Biotherapy Department, Sorbonne Université, UPMC University of Paris, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent studies have provided evidence of a close link between specific microbiota and inflammatory disorders. While the vessel wall microbiota has been recently described in large vessel vasculitis (LVV) and controls, the blood microbiome in these diseases has not been previously reported (LVV). We aimed to analyse the blood microbiome profile of LVV patients (Takayasu's arteritis [TAK], giant cell arteritis [GCA]) and healthy blood donors (HD). We studied the blood samples of 13 patients with TAK (20 samples), 9 patients with GCA (11 samples) and 15 HD patients. We assessed the blood microbiome profile by sequencing the 16S rDNA blood bacterial DNA. We used linear discriminant analysis (LDA) coupled with linear discriminant effect size measurement (LEfSe) to investigate the differences in the blood microbiome profile between TAK and GCA patients. An increase in the levels of Clostridia, Cytophagia and Deltaproteobacteria and a decrease in Bacilli at the class level were found in TAK patients compared with HD patients (LDA > 2, p < 0.05). Active TAK patients had significantly lower levels of Staphylococcus compared with inactive TAK patients. Samples of GCA patients had an increased abundance of Rhodococcus and an unidentified member of the Cytophagaceae family. Microbiota of TAK compared with GCA patients was found to show higher levels of Candidatus Aquiluna and Cloacibacterium (LDA > 2; p < 0.05). Differences highlighted in the blood microbiome were also associated with a shift of bacterial predicted metabolic functions in TAK in comparison with HD. Similar results were also found in patients with active versus inactive TAK. In conclusion, patients with TAK were found to present a specific blood microbiome profile in comparison with healthy donors and GCA subjects. Significant changes in the blood microbiome profiles of TAK patients were associated with specific metabolic functions.

Indexed as

Disease SusceptibilityMicrobiotaAgedAged, 80 and overBiomarkersComputational BiologyFemaleGiant Cell ArteritisHumansMaleMetagenomeMetagenomicsMiddle AgedSepsisTakayasu ArteritisBiomarkers

Identifiers

PMID33723291
PMCPMC7961033

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.