Evidence map›Paper›PMID 34539397›Full record

ArticleFrontiers in pharmacology2021

Integrated Proteomics and Metabolomics Link Acne to the Action Mechanisms of Cryptotanshinone Intervention.

Zhaoming Zhu, Tingting Chen, Zhuxian Wang, Yaqi Xue, Wenfeng Wu, Yuan Wang, Qunqun Du, Yufan Wu, Quanfu Zeng, Cuiping Jiang and 4 more

Open access · goldAbstract read
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 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 9% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. A New Insight into Acne Pathogenesis: Multi-Omics Links a Metabolite toClinical, cosmetic and investigational dermatology · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Current Knowledge in Skin Metabolomics: Updates from Literature Review.International journal of molecular sciences · 2022
    Review
  8. Article
  9. 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

14 authors at 2 institutions in 1 country.

Zhaoming ZhuSchool of Traditional Chinese Medicine, Southern Medical University, Guangzhou, China.
Tingting ChenSchool of Traditional Chinese Medicine, Southern Medical University, Guangzhou, China.
Zhuxian WangSchool of Traditional Chinese Medicine, Southern Medical University, Guangzhou, China.
Yaqi XueSchool of Traditional Chinese Medicine, Southern Medical University, Guangzhou, China.
Wenfeng WuSchool of Traditional Chinese Medicine, Southern Medical University, Guangzhou, China.
Yuan WangSchool of Traditional Chinese Medicine, Southern Medical University, Guangzhou, China.
Qunqun DuSchool of Traditional Chinese Medicine, Southern Medical University, Guangzhou, China.
Yufan WuSchool of Traditional Chinese Medicine, Southern Medical University, Guangzhou, China.
Quanfu ZengSchool of Traditional Chinese Medicine, Southern Medical University, Guangzhou, China.
Cuiping JiangSchool of Traditional Chinese Medicine, Southern Medical University, Guangzhou, China.
Chunyan ShenSchool of Traditional Chinese Medicine, Southern Medical University, Guangzhou, China.
Li LiuSchool of Traditional Chinese Medicine, Southern Medical University, Guangzhou, China.
Hongxia ZhuIntegrated Hospital of Traditional Chinese Medicine, Southern Medical University, Guangzhou, China.
Qiang LiuSchool of Traditional Chinese Medicine, Southern Medical University, Guangzhou, China.
Southern Medical University · CNTCM-Intigrated Cancer Center of Southern Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The label-free methods of proteomic combined with metabolomics were applied to explore the mechanisms of Cryptotanshinone (CPT) intervention in rats with acne. The model group consisted of rats given oleic acid (MC), then treated with CPT, while control groups did not receive treatment. The skin samples were significantly different between control, model and CPT-treated groups in hierarchical clustering dendrogram. Obvious separations of the skin metabolic profiles from the three groups were found through PCA scoring. In total, 231 and 189 differentially expressed proteins (DEPs) were identified in MC and CPT groups, respectively. By the KEGG analysis, five protein and metabolite pathways were found to be significantly altered. These played important roles in response to oleic acid-induced acne and drug treatment. CPT could negatively regulate glycolysis/gluconeogenesis and histidine metabolisms to decrease keratinocyte differentiation and improve excessive keratinization and cellular barrier function. CPT could down-regulate the IL-17 signaling pathway and regulate the acne-driven immune response of sebum cells. The biosynthesis of unsaturated fatty acids metabolism, glycerophospholipid metabolism and linoleic acid pathways could significantly alter sebum production and control sebaceous gland secretion after CPT treatment. The gap junction was up-regulated after CPT treatment and the skin barrier turned back to normal. Krt 14, Krt 16 and Krt 17 were significantly down-regulated, decreasing keratinization, while inflammatory cell infiltration was improved by down-regulation of Msn, up-regulation of linoleic acid and estrogen pathways after CPT treatment. These results propose action mechanisms for the use of CPT in acne, as a safe and potential new drug.

Indexed as

Acne2action mechanisms5Cryptotanshinone1label-free Proteomic3metabolomics4

Identifiers

PMID34539397
PMCPMC8440807
OpenAlexW3197345385

What OpenQuestion holds

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LicenceCC BY
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.