Evidence map›Paper›PMID 31384318›Full record

ArticleExperimental and therapeutic medicine2019

Effect of white mange mixture in a murine model of psoriasis.

Jiangtao Guo, Jie Liu

Open access · diamondAbstract read
In one paragraph

Article in Experimental and therapeutic medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 38% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
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  3. Review
  4. 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

2 authors at 1 institution in 1 country.

Jiangtao GuoPharmaceutical College, Guiyang University of Chinese Medicine, Guiyang, Guizhou 550025, P.R. China.
Jie LiuPharmaceutical College, Guiyang University of Chinese Medicine, Guiyang, Guizhou 550025, P.R. China.
Guiyang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Psoriasis is an autoimmune disease with periods of remission or aggravation. Until now, no effective treatment has been developed. The aim of this study was to assess the effect of the traditional Chinese medicine white mange mixture in a murine model of vaginal psoriasis. Female mice (n=70) were randomly divided into seven groups as follows: negative control group, positive control group, acitretin group, Xiaoying granule group, high-dose white mange mixture group, medium-dose white mange mixture group, and low-dose white mange mixture group. After vaginal psoriasis mouse model design, the inhibition of keratinocyte (KC) cell proliferating cell nuclear antigen (PCNA) was achieved by SP immunohistochemical method, spleen T lymphocyte apoptosis detection was assessed by using electron microscopy and granulocyte colony stimulating factor (GM-CSF) levels were detected by ELISA method. According to our results, T lymphocyte nucleus appearance in the negative control group was normal whereas in all the doses of white mange mixture the nucleus significantly showed apoptotic trend. Compared with the negative control group, the amount of GM-CSF in the serum of the model was significantly increased (P<0.01) while administration of white mange mixture in different doses decreased the GM-CSF content significantly (P<0.01). White mange mixture can significantly inhibit vaginal psoriasis in a mouse model by decreasing the amount of epithelium KC cell PCNA and production of the inflammatory cytokines GM-CSF in serum.

Indexed as

immunohistochemical methodproliferating cell nuclear antigenT lymphocytevaginal psoriasiswhite mange mixture

Identifiers

PMID31384318
PMCPMC6639981
OpenAlexW2948160811

What OpenQuestion holds

Textmetadata
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.