Evidence map›Paper›PMID 41133471›Full record

ReviewInternational journal of molecular medicine2026

Importance of B cells (Review).

Zhiyuan Liu, Haoran Dai, Xiaoyu Cui, Yeping Liu, Zhaocheng Dong

Abstract readReview
In one paragraph

Review in International journal of molecular medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Review
  6. Review
  7. Review
  8. Article
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.

Zhiyuan Liu *Beijing Hospital of Traditional Chinese Medicine, Beijing 100010, P.R. China.
Haoran Dai *Beijing Hospital of Traditional Chinese Medicine, Beijing 100010, P.R. China.
Xiaoyu CuiBeijing Hospital of Traditional Chinese Medicine, Beijing 100010, P.R. China.
Yeping LiuMacau University of Science and Technology, Macau SAR 999078, P.R. China.
Zhaocheng DongSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As a key component of the immune system, B cells primarily mediate humoral immunity via the synthesis and secretion of antibodies. In addition, B cells contribute to immune responses via antigen presentation and cytokine secretion. B cell‑targeted therapy has potential for the treatment of autoimmune diseases. However, current B cell‑targeted therapies have limited efficacy when used as monotherapies in clinical settings. In an aim to provide in‑depth understanding of this limitation, the present review discusses the developmental and differentiation pathways of B cells and the mechanisms by which various B cell subsets participate in immune responses, as well as randomized controlled trials on B cell‑targeted therapies conducted on lupus nephritis, an autoimmune disease with a notable inflammatory response. The clinical benefits of these therapies remain modest. This suggests that while B cells may serve a pathogenic role, existing therapies fail to address the fundamental mechanisms underlying disease progression. Targeting the interactions between B and T cells, particularly by inhibiting B cell‑mediated antigen presentation, may represent a promising novel direction for B cell‑targeted therapy.

Indexed as

B-LymphocytesAnimalsAutoimmune DiseasesCell DifferentiationHumansLupus NephritisB cellB cell activating factorB cell‑targeted therapyimmune tolerancelupus nephritisplasma cellregulatory B cell

Identifiers

PMID41133471
PMCPMC12576395

What OpenQuestion holds

Textmetadata
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.