Evidence map›Paper›PMID 36252879›Full record

ArticleJournal of ethnopharmacology2023

Xuanfei Baidu Formula attenuates LPS-induced acute lung injury by inhibiting the NF-κB signaling pathway.

Yanru Zhu, Lifei Luo, Meng Zhang, Xinbo Song, Ping Wang, Han Zhang, Jingze Zhang, Dailin Liu

Abstract read
In one paragraph

Article in Journal of ethnopharmacology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. [UltrafineNan fang yi ke da xue xue bao = Journal of Southern Medical University · 2026
    Article
  2. Article
  3. Article
  4. Food science & nutrition · 2026
    Article
  5. Echinatin inhibits osteoarthritis through the NF-κB signaling pathway.Naunyn-Schmiedeberg's archives of pharmacology · 2025
    Article
  6. Article
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  8. Article
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  14. Review
  15. Frontiers in microbiology · 2024
    Article
  16. Review
  17. 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

8 authors.

Yanru ZhuState Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China; Tianjin Modern Innovation Chinese Medicine Technology Co., Ltd., Tianjin, China.
Lifei LuoState Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China; Tianjin Modern Innovation Chinese Medicine Technology Co., Ltd., Tianjin, China.
Meng ZhangState Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China; Tianjin Modern Innovation Chinese Medicine Technology Co., Ltd., Tianjin, China.
Xinbo SongState Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China; Tianjin Modern Innovation Chinese Medicine Technology Co., Ltd., Tianjin, China.
Ping WangTianjin Modern Innovation Chinese Medicine Technology Co., Ltd., Tianjin, China.
Han ZhangState Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Jingze ZhangTianjin Modern Innovation Chinese Medicine Technology Co., Ltd., Tianjin, China.
Dailin LiuState Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China; Tianjin Modern Innovation Chinese Medicine Technology Co., Ltd., Tianjin, China. Electronic address: dailinlch@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

ethnopharmacological relevanceAcute lung injury (ALI) is a common manifestation of COVID-19. Xuanfei Baidu Formula(XFBD) is used in China to treat mild or common damp-toxin obstructive pulmonary syndrome in COVID-19 patients. However, the active ingredients of XFBD have not been extensively studied, and its mechanism of action in the treatment of ALI is not well understood. AIM OF THE STUDY: The purpose of this study was to investigate the mechanism of action of XFBD in treating ALI in rats, by evaluating its active components. MATERIALS AND

methodsFirstly, the chemical composition of XFBD was identified using ultra-high performance liquid chromatography with quadrupole time-of-flight mass spectrometry. The potential targets of XFBD for ALI treatment were predicted using network pharmacological analysis. Finally, the molecular mechanism of XFBD was validated using a RAW264.7 cell inflammation model and a mouse ALI model.

resultsA total of 113 compounds were identified in XFBD. Network pharmacology revealed 34 hub targets between the 113 compounds and ALI. The results of Kyoto Encyclopedia of Genes and Genomes and gene ontology analyses indicated that the NF-κB signaling pathway was the main pathway for XFBD in the treatment of ALI. We found that XFBD reduced proinflammatory factor levels in LPS-induced cellular models. By examining the lung wet/dry weight ratio and pathological sections in vivo, XFBD was found that XFBD could alleviate ALI. Immunohistochemistry results showed that XFBD inhibited ALI-induced increases in p-IKK, p-NF-κB p65, and iNOS proteins. In vitro experiments demonstrated that XFBD inhibited LPS-induced activation of the NF-κB pathway.

conclusionThis study identified the potential practical components of XFBD, combined with network pharmacology and experimental validation to demonstrate that XFBD can alleviate lung injury caused by ALI by inhibiting the NF-κB signaling pathway.

Indexed as

Acute Lung InjuryCOVID-19AnimalsDisease Models, AnimalDrugs, Chinese HerbalLipopolysaccharidesLungMiceNF-kappa BRatsSignal TransductionDrugs, Chinese HerbalLipopolysaccharidesNF-kappa Bxuanfei baiduAcute lung injuryComponent analysisNetwork pharmacologyNF-κB signaling pathwayXuanfei baidu formula

Identifiers

PMID36252879
PMCPMC9562620

What OpenQuestion holds

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Registered trials

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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.