Evidence map›Paper›PMID 34867329›Full record

ArticleFrontiers in pharmacology2021

The Identification of the Biomarkers of Sheng-Ji Hua-Yu Formula Treated Diabetic Wound Healing Using Modular Pharmacology.

Jing-Si Jiang, Ying Zhang, Ying Luo, Yi Ru, Yue Luo, Xiao-Ya Fei, Jian-Kun Song, Xiao-Jie Ding, Zhan Zhang, Dan Yang and 5 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in pharmacology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 25% of its field
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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
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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

15 authors at 5 institutions in 1 country.

Jing-Si JiangDepartment of Dermatology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Ying ZhangDepartment of Dermatology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Ying LuoDepartment of Dermatology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Yi RuInstitute of Dermatology, Shanghai Academy of Traditional Chinese Medicine, Shanghai, China.
Yue LuoShanghai Skin Disease Hospital of Tongji University, Shanghai, China.
Xiao-Ya FeiShanghai Skin Disease Hospital of Tongji University, Shanghai, China.
Jian-Kun SongShanghai Skin Disease Hospital of Tongji University, Shanghai, China.
Xiao-Jie DingDepartment of Dermatology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Zhan ZhangInstitute of Dermatology, Shanghai Academy of Traditional Chinese Medicine, Shanghai, China.
Dan YangInstitute of Dermatology, Shanghai Academy of Traditional Chinese Medicine, Shanghai, China.
Shuang-Yi YinCenter for Translational Medicine, Huaihe Hospital of Henan University, Kaifeng, China.
Hui-Ping ZhangShanghai Applied Protein Technology Co., Ltd., Shanghai, China.
Tai-Yi LiuShanghai Applied Protein Technology Co., Ltd., Shanghai, China.
Bin LiDepartment of Dermatology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Le KuaiDepartment of Dermatology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Shanghai University of Traditional Chinese Medicine · CNTongji University · CNYueyang Hospital · CNHenan University Huaihe Hospital and Huaihe Clinical Institute · CNShanghai Skin Disease Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sheng-Ji Hua-Yu (SJHY) formula has been proved to reduce the severity of diabetic wound healing without significant adverse events in our previous clinical trials. However, based on multi-target characteristics, the regulatory network among herbs, ingredients, and hub genes remains to be elucidated. The current study aims to identify the biomarkers of the SJHY formula for the treatment of diabetic wound healing. First, a network of components and targets for the SJHY formula was constructed using network pharmacology. Second, the ClusterONE algorithm was used to build a modular network and identify hub genes along with kernel pathways. Third, we verified the kernel targets by molecular docking to select hub genes. In addition, the biomarkers of the SJHY formula were validated by animal experiments in a diabetic wound healing mice model. The results revealed that the SJHY formula downregulated the mRNA expression of

Indexed as

diabetic wound healingexperimental verificationmodular pharmacologymolecular dockingSJHY formula

Identifiers

PMID34867329
PMCPMC8636748
OpenAlexW3212725010

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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.