Evidence map›Paper›PMID 33437177›Full record

ArticleCentral-European journal of immunology2020

CCR6 blockade on regulatory T cells ameliorates experimental model of multiple sclerosis.

Izabela Jatczak-Pawlik, PaweŁ Wolinski, Dominika KsiĄŻek-Winiarek, MirosŁawa Pietruczuk, Andrzej Glabinski

Abstract read
In one paragraph

Article in Central-European journal of immunology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

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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

5 authors.

Izabela Jatczak-PawlikDepartment of Propedeutics of Neurology, Medical University of Lodz, Poland.
PaweŁ WolinskiDepartment of Propedeutics of Neurology, Medical University of Lodz, Poland.
Dominika KsiĄŻek-WiniarekDepartment of Neurology and Stroke, Medical University of Lodz, Poland.
MirosŁawa PietruczukDepartment of Laboratory Medicine, Medical University of Lodz, Poland.
Andrzej GlabinskiDepartment of Propedeutics of Neurology, Medical University of Lodz, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Regulatory T cells (Tregs) play a significant role in limiting damage of tissue affected by autoimmune process, which has been demonstrated in various experimental models for multiple sclerosis (MS) (mostly experimental autoimmune encephalomyelitis - EAE), rheumatoid arthritis, and type 1 diabetes. In this study, we demonstrated that Tregs increasingly migrate to central nervous system (CNS) during subsequent phases of EAE (preclinical, initial attack, and remission). In contrast, in peripheral tissues (blood, lymph nodes, and spleen), a significant accumulation of Tregs is mostly present during EAE remission. Moreover, an increased expression of CCR6 on Tregs in the CNS, blood, lymph nodes, and spleen in all phases of EAE was observed. The highest expression of CCR6 on Tregs from the CNS, lymph nodes, and spleen was noted during the initial attack of EAE, whereas in the blood, the peak expression of CCR6 was detected during the preclinical phase. The presence of Tregs in the CNS during EAE was confirmed by immunohistochemistry. To analyze additional functional significance of CCR6 expression on Tregs for EAE pathology, we modulated the clinical course of this MS model using Tregs with blocked CCR6. EAE mice, which received CCR6-deficient Tregs showed significant amelioration of disease severity. This observation suggests that CCR6 on Tregs may be a potential target for future therapeutic interventions in MS.

Indexed as

anti-CCR6CCR6experimental autoimmune encephalomyelitismultiple sclerosisTregs

Identifiers

PMID33437177
PMCPMC7790011

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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.