Evidence map›Paper›PMID 40984877›Full record

ArticleJournal of inflammation research2025

TNF/NF-κB Signaling Pathway is Involved in Mechanisms of Tongluo Decoction on Rat Models with Sequelae of Pelvic Inflammatory Disease.

Baoqin Liu, Fang Yang, Xiaoqi Pu, Junjie Yu, Qing Wang

Abstract read
In one paragraph

Article in Journal of inflammation research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Astragaloside IV AlleviatesAntioxidants (Basel, Switzerland) · 2026
    Article
  2. International journal of nanomedicine · 2026
    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.

Baoqin LiuTraditional Chinese Medicine Gynecology, China-Japan Friendship Hospital, Beijing, People's Republic of China.
Fang YangTraditional Chinese Medicine Gynecology, China-Japan Friendship Hospital, Beijing, People's Republic of China.
Xiaoqi PuDiagnostic Radiology, China-Japan Friendship Hospital, Beijing, People's Republic of China.
Junjie YuTraditional Chinese Medicine Gynecology, China-Japan Friendship Hospital, Beijing, People's Republic of China.
Qing WangTraditional Chinese Medicine Gynecology, China-Japan Friendship Hospital, Beijing, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Traditional Chinese medicine can produce strong therapeutic activities for sequelae of pelvic inflammatory disease (SPID). This study aimed to investigate the efficacy and protective mechanisms of Tongluo Decoction (TLD) in the treatment of SPID. Patients and Methods: The damage-protective and inflammation-inhibitory effects of TLD on SPID were investigated in rat models. The possible targets of TLD against SPID were predicted using network pharmacology. The hub targets were tested in SPID rat models. Rescue experiments were conducted in human endometrial epithelial cells (HEECs). Detection of necroptosis was used the flow cytometry. ELISA was used for the quantification of inflammatory cytokines. Protein levels were detected using a Western blot assay. Results: TLD had a protective effect against uterus tissue damage caused during SPID. TLD inhibited the levels of adhesion cytokines (VEGF and TGF-β1), the tight junction proteins (ZO-1 and occludin), and inflammatory cytokines (TNF-α and IL-6). TNF, IKBKB, and NFKB1 were predicted as hub targets for TLD against SPID. TLD inhibited necroptosis of HEECs via TNF, IKBKB, and NFKB1. TLD inhibited the ratio of CD86+ M1 macrophages after differentiation induction of THP-1. Conclusion: The therapeutic effects of TLD for SPID may be the result of a dual action on inflammation and necroptosis, via TNF, IKBKB, and NFKB1.

Indexed as

formulaherbinflammationnecroptosisuterus

Identifiers

PMID40984877
PMCPMC12450387

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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.