Evidence map›Paper›PMID 41291191›Full record

ArticleScientific reports2025

Interleukin-6 accelerates the progression of warm autoimmune hemolytic anemia by affecting the DNA methylation status of peripheral blood B lymphocytes.

Manjun Zhao, Yang Zhang, Zhaoyun Liu, Rong Fu, Huaquan Wang, Zonghong Shao, Limin Xing

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

7 authors.

Manjun ZhaoDepartment of Internal Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China.
Yang ZhangDepartment of Hematology, Tianjin Medical University General Hospital, Tianjin, China.
Zhaoyun LiuDepartment of Hematology, Tianjin Medical University General Hospital, Tianjin, China.
Rong FuDepartment of Hematology, Tianjin Medical University General Hospital, Tianjin, China.
Huaquan WangDepartment of Hematology, Tianjin Medical University General Hospital, Tianjin, China. floing@126.com.
Zonghong ShaoDepartment of Hematology, Tianjin Medical University General Hospital, Tianjin, China. shaozonghong@sina.com.
Limin XingDepartment of Hematology, Tianjin Medical University General Hospital, Tianjin, China. xinglm2019@tmu.edu.cn.

Funding

National Natural Science Foundation of China 82270139Tianjin Science and Technology Project 18ZXDBSY00140
6 · The paper itself

Abstract

DNA methylation of peripheral blood (PB) B cells of warm autoimmune hemolytic anemia (wAIHA) patient was investigated. B cell DNA methylation level and the methylation-regulatory genes mRNA from 34 wAIHA patients and 16 healthy controls (HCs) were detected. The correlation between B cell DNA methylation and clinical indicators was analyzed. The effects of IL-6 on the B cell DNA methylation were examined. B cell DNA methylation level and DNMT1 mRNA expression of hemolytic episode patients were lower than that in remission patients and HCs. B cell DNA methylation in glucocorticoid-resistant patients was low. The hemolytic degree, response and relapse rate were correlated with B cell DNA methylation. Serum IL-6 concentration in hemolytic episode patients was higher than that in HCs and IL-6 inhibited DNMT1 expression in B cell of patients. IL-6 may inhibit the B cell DNA methylation levels and methylation regulatory genes of wAIHA patients.

Indexed as

Anemia, Hemolytic, AutoimmuneB-LymphocytesDNA MethylationInterleukin-6AdolescentAdultAgedCase-Control StudiesDNA (Cytosine-5-)-Methyltransferase 1FemaleHumansMaleMiddle AgedYoung AdultDNA (Cytosine-5-)-Methyltransferase 1DNMT1 protein, humanIL6 protein, humanInterleukin-6Autoimmune hemolytic anemiaB lymphocytesDNA methylationDNMT1IL-6

Identifiers

PMID41291191
PMCPMC12748814

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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.