Evidence map›Paper›PMID 35001317›Full record

ArticleBulletin of experimental biology and medicine2022

Histomorphological and Biochemical Analysis of Rat Model of Menopausal Skin Aging.

M S Ji, X Y Yang, Y Hao, J Shi

Abstract read
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In one paragraph

Article in Bulletin of experimental biology and medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

4 authors at 1 institution in 1 country.

M S JiDepartment of Dermatology, The Second Affiliated Hospital of BaoTou Medical College, BaoTou, China.
X Y YangDepartment of Dermatology, The First Affiliated Hospital of BaoTou Medical College, BaoTou, China.
Y HaoDepartment of Dermatology, The Second Affiliated Hospital of BaoTou Medical College, BaoTou, China.
J ShiDepartment of Dermatology, The First Affiliated Hospital of BaoTou Medical College, BaoTou, China. jihaishidr@163.com.
Baotou Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study examined the skin histomorphology and biochemistry in mature ovariectomized rats treated and not treated with estrogen. Biochemical parameters (superoxide dismutase, malondialdehyde, and hydroxyproline content) were measured in dorsal skin samples collected in 50 days after surgery. The morphology of dorsal skin was analyzed under a microscope. In ovariectomized rats, the skin levels of superoxide dismutase and hydroxyproline were significantly lower, while the superoxide dismutase content was significantly higher than in shamoperated animals (p<0.05). Estrogen therapy significantly increased the levels of superoxide dismutase and hydroxyproline and reduced superoxide dismutase level in ovariectomized rats in comparison with the corresponding parameters in untreated ovariectomized animals (p<0.05). Histomorphological analysis of the skin from non-treated ovariectomized rats revealed reduced vascularization and lower density of papillary capillaries in comparison with these parameters in sham-operated controls; estrogen treatment prevented these changes. We concluded that ovariectomized rats can be employed as a model of aging skin in menopause.

Indexed as

Skin AgingAnimalsFemaleHumansMalondialdehydeMenopauseOvariectomyOxidative StressRatsSuperoxide DismutaseMalondialdehydeSuperoxide Dismutasehydroxyprolinemalondialdehyde (MDA)menopause aging skin modelovariectomized ratssuperoxide dismutase (SOD)

Identifiers

PMID35001317
OpenAlexW4206027169

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.