Evidence map›Paper›PMID 35444649›Full record

ArticleFrontiers in immunology2022

YTHDF1 Negatively Regulates

Zhijia Li, Muzhou Teng, Yinbo Jiang, Litian Zhang, Xi Luo, Yuhui Liao, Bin Yang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
4.9field-weighted citation impact, top 4% 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

27 citing papers in PubMed, 56 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 1 country.

Zhijia LiDermatology Hospital, Southern Medical University, Guangzhou, China.
Muzhou TengDermatology Hospital, Southern Medical University, Guangzhou, China.
Yinbo JiangDermatology Hospital, Southern Medical University, Guangzhou, China.
Litian ZhangDermatology Hospital, Southern Medical University, Guangzhou, China.
Xi LuoDermatology Hospital, Southern Medical University, Guangzhou, China.
Yuhui LiaoDermatology Hospital, Southern Medical University, Guangzhou, China.
Bin YangDermatology Hospital, Southern Medical University, Guangzhou, China.
Southern Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Previous studies have confirmed that the bacterium Methods: We first assessed m6A levels in TP-infected macrophages differentiated from the human monocyte cell line THP-1. The binding and interaction between the m6A "writer" methyltransferase-like 3 (METTL3) or the m6A "reader" YT521-B homology (YTH) domain-containing protein YTHDF1 and the suppressor of cytokine signaling 3 (SOCS3), as a major regulator of the inflammatory response, were explored in differentiated TP-infected THP-1 cells as well as in secondary syphilitic lesions from patients. The mechanisms by which YTHDF1 and SOCS3 regulate the inflammatory response in macrophages were assessed. Results and Conclusion: After macrophages were stimulated by TP, YTHDF1 was upregulated in the cells. YTHDF1 was also upregulated in the syphilitic lesions compared to adjacent tissue in patients. YTHDF1 recognizes and binds to the m6A methylation site of

Indexed as

SyphilisTreponema pallidumHumansInflammationMacrophagesMethyltransferasesRNA-Binding ProteinsSuppressor of Cytokine Signaling 3 ProteinSuppressor of Cytokine Signaling ProteinsMethyltransferasesMETTL3 protein, humanRNA-Binding ProteinsSOCS3 protein, humanSuppressor of Cytokine Signaling 3 ProteinSuppressor of Cytokine Signaling ProteinsYTHDF1 protein, humaninflammationm6A methylationmacrophagesyphilisTreponema pallidum

Identifiers

PMID35444649
PMCPMC9013966
OpenAlexW4225852948

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.