Evidence map›Paper›PMID 26617177›Full record

ArticleArthritis research & therapy2015

CCR6(+) Th cell populations distinguish ACPA positive from ACPA negative rheumatoid arthritis.

Sandra M J Paulissen, Jan Piet van Hamburg, Nadine Davelaar, Heleen Vroman, Johanna M W Hazes, Pascal H P de Jong, Erik Lubberts

Open access · goldAbstract read
In one paragraph

Article in Arthritis research & therapy, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
4.6field-weighted citation impact, top 5% of its field
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

29 citing papers in PubMed, 50 citations in OpenAlex.

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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

7 authors at 1 institution in 2 countries.

Sandra M J PaulissenDepartments of Rheumatology and Immunology, Erasmus MC, University Medical Center, Rotterdam, P.O. Box 2040, 3000, CA, Rotterdam, The Netherlands. s.paulissen@erasmusmc.nl.
Jan Piet van HamburgDepartments of Rheumatology and Immunology, Erasmus MC, University Medical Center, Rotterdam, P.O. Box 2040, 3000, CA, Rotterdam, The Netherlands. j.vanhamburg@erasmusmc.nl.
Nadine DavelaarDepartments of Rheumatology and Immunology, Erasmus MC, University Medical Center, Rotterdam, P.O. Box 2040, 3000, CA, Rotterdam, The Netherlands. n.davelaar@erasmusmc.nl.
Heleen VromanDepartment of Pulmonary Medicine, Erasmus MC, University Medical Center, Rotterdam, The Netherlands. h.vroman@erasmusmc.nl.
Johanna M W HazesDepartment of Rheumatology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands. j.hazes@erasmusmc.nl.
Pascal H P de JongDepartment of Rheumatology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands. p.h.p.dejong@erasmusmc.nl.
Erik LubbertsDepartments of Rheumatology and Immunology, Erasmus MC, University Medical Center, Rotterdam, P.O. Box 2040, 3000, CA, Rotterdam, The Netherlands. e.lubberts@erasmusmc.nl.
Erasmus MC · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPatients with rheumatoid arthritis (RA) can be separated into two major subpopulations based on the absence or presence of serum anti-citrullinated protein antibodies (ACPAs). The more severe disease course in ACPA(+) RA and differences in treatment outcome between these subpopulations suggest that ACPA(+) and ACPA(-) RA are different disease subsets. The identification of T-helper (Th) cells specifically recognizing citrullinated peptides, combined with the strong association between HLA-DRB1 and ACPA positivity, point toward a pathogenic role of Th cells in ACPA(+) RA. In this context we recently identified a potential pathogenic role for CCR6(+) Th cells in RA. Therefore, we examined whether Th cell population distributions differ by ACPA status.

methodsWe performed a nested matched case-control study including 27 ACPA(+) and 27 ACPA(-) treatment-naive early RA patients matched for disease activity score in 44 joints, presence of rheumatoid factor, sex, age, duration of complaints and presence of erosions. CD4(+)CD45RO(+) (memory) Th cell distribution profiles from these patients were generated based on differential chemokine receptor expression and related with disease duration.

resultsACPA status was not related to differences in total CD4(+) T cell or memory Th cell proportions. However, ACPA(+) patients had significantly higher proportions of Th cells expressing the chemokine receptors CCR6 and CXCR3. Similar proportions of CCR4(+) and CCR10(+) Th cells were found. Within the CCR6(+) cell population, four Th subpopulations were distinguished based on differential chemokine receptor expression: Th17 (CCR4(+)CCR10(-)), Th17.1 (CXCR3(+)), Th22 (CCR4(+)CCR10(+)) and CCR4/CXCR3 double-positive (DP) cells. In particular, higher proportions of Th22 (p = 0.02), Th17.1 (p = 0.03) and CCR4/CXCR3 DP (p = 0.01) cells were present in ACPA(+) patients. In contrast, ACPA status was not associated with differences in Th1 (CCR6(-)CXCR3(+); p = 0.90), Th2 (CCR6(-)CCR4(+); p = 0.27) and T-regulatory (CD25(hi)FOXP3(+); p = 0.06) cell proportions. Interestingly, CCR6(+) Th cells were inversely correlated with disease duration in ACPA(-) patients (R(2) = -0.35; p < 0.01) but not in ACPA(+) (R(2) < 0.01; p = 0.94) patients.

conclusionsThese findings demonstrate that increased peripheral blood CCR6(+) Th cells proportions distinguish ACPA(+) RA from ACPA(-) RA. This suggests that CCR6(+) Th cells are involved in the differences in disease severity and treatment outcome between ACPA(+) and ACPA(-) RA.

Indexed as

Arthritis, RheumatoidAutoantibodiesAutoantigensCase-Control StudiesCell SeparationFemaleFlow CytometryHumansMaleMiddle AgedReal-Time Polymerase Chain ReactionReceptors, CCR6T-Lymphocytes, Helper-InducerT-Lymphocyte SubsetsAutoantibodiesAutoantigensCCR6 protein, humanReceptors, CCR6

Identifiers

PMID26617177
PMCPMC4663738
OpenAlexW2175506746

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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.