Evidence map›Paper›PMID 39931541›Full record

ReviewNon-coding RNA research2025

Research progress on the interaction between intestinal flora and microRNA in pelvic inflammatory diseases.

Shuhan Dong, Yunpeng Du, Haiyang Wang, Wenhan Yuan, Wenxia Ai, Li Liu

Abstract readReview
In one paragraph

Review in Non-coding RNA research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Exploring the protective effects of coenzyme Q10 on female fertility.Frontiers in cell and developmental biology · 2025
    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

6 authors.

Shuhan DongHeilongjiang University of Chinese Medicine, 150040, Heilongjiang, China.
Yunpeng DuHeilongjiang University of Chinese Medicine, 150040, Heilongjiang, China.
Haiyang WangHeilongjiang University of Chinese Medicine, 150040, Heilongjiang, China.
Wenhan YuanLiaoning University of Traditional Chinese Medicine, Liaoning, 110085, China.
Wenxia AiHeilongjiang University of Chinese Medicine, 150040, Heilongjiang, China.
Li LiuFirst Affiliated Hospital of Heilongjiang University of Chinese Medicine, 150040, Heilongjiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pelvic inflammatory disease (PID) is a common infectious disease of the female upper reproductive tract, and its pathological basis is immune inflammatory response. The imbalance of gut microflora (GM) may lead to the development of inflammatory process. A large number of studies have shown that fecal microbiota transplantation, probiotics, bacteria, prebiotics, and dietary intervention may play a potential role in remodeling GM and treating diseases. MicroRNAs (miRNAs) are involved in cell development, proliferation, apoptosis and other physiological processes. In addition, they play an important role in the inflammatory process, participating in the regulation of proinflammatory and anti-inflammatory pathways. Differences in miRNA profiles may be PID diagnostic tools and serve as prognostic markers of the disease. The relationship between miRNA and GM has not been fully elucidated. Recent studies have shown the role of miRNA in the regulation and induction of GM dysbiosis. In turn, microbiota can regulate the expression of miRNA and improve the immune status of the body. Therefore, this review aims to describe the interaction between GM and miRNA in PID, and to find potential precise targeted therapy for PID.

Indexed as

EndometritisGut microbiotaMicroRNAPelvic inflammatory disease

Identifiers

PMID39931541
PMCPMC11808595

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.