Evidence map›Paper›PMID 39619658›Full record

ArticleFrontiers in cellular and infection microbiology2024

Modulation of metabolic pathways and EndMT inhibition by a traditional Chinese herbal formula in the treatment of high-risk infections.

Hailing You, Kailai Bu, Liping Chen, He Sun, WangAo Suyang, Gaofei Feng, Yuan Chen

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Hailing You *Department of Oncology, Shenzhen Hospital of Beijing University of Chinese Medicine (Longgang), Shenzhen, China.
Kailai Bu *Guangzhou University of Chinese Medicine, Department of Dermatology, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China.
Liping ChenDepartment of Obstetrics and Gynecology, Shenzhen Hospital of Beijing University of Chinese Medicine (Longgang), Shenzhen, China.
He SunDepartment of Preparation, Shenzhen Hospital of Beijing University of Chinese Medicine (Longgang), Shenzhen, China.
WangAo SuyangShenzhen SMQ Group Medical Laboratory, Shenzhen, China.
Gaofei FengDepartment of Oncology, Shenzhen Hospital of Beijing University of Chinese Medicine (Longgang), Shenzhen, China.
Yuan ChenDepartment of Physical Examination, Shenzhen Hospital of Beijing University of Chinese Medicine (Longgang), Shenzhen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Herbal products have long been utilized as remedies for various disease conditions, including infections. This study investigates the therapeutic mechanism of a traditional Chinese herbal combination in treating high-risk HPV infections. Methods: The herbal formula was prepared using common herbs: dry Millettia speciosa, Guanzhong (a spermatophyte), Sarsaparilla, White Fruit, and Cockscomb Flower. Eight female patients diagnosed with high-risk HPV were enrolled from January to September 2023 at Shenzhen Hospital of Beijing University of Traditional Chinese Medicine. Cervicovaginal secretions were collected before and after treatment with the herbal remedy and analyzed using non-targeted metabolomics techniques. Results: Conclusion: The traditional Chinese herbal combination modulates key metabolic pathways

Indexed as

Cell ProliferationDrugs, Chinese HerbalMetabolic Networks and PathwaysAdultCell MovementEndothelial-Mesenchymal TransitionEpithelial-Mesenchymal TransitionFemaleHeLa CellsHumansMedicine, Chinese TraditionalMetabolomicsPapillomavirus InfectionsVaginaDrugs, Chinese Herbalcombination of Chinese herbendothelialto-mesenchymal transition (EndMT)HPV infectionmetabolomicstraditional Chinese medicine

Identifiers

PMID39619658
PMCPMC11604629

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LicenceCC BY
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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.