Evidence map›Paper›PMID 36005589›Full record

ArticleMetabolites2022

GC-TOF/MS-Based Metabolomics for Comparison of Volar and Non-Volar Skin Types.

Ting Bu, Ming Zhang, Sun-Hee Lee, Yu Eun Cheong, Yukyung Park, Kyoung Heon Kim, Dongwon Kim, Sooah Kim

Abstract read
In one paragraph

Article in Metabolites, 2022. 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
–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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Development of metabolome extraction strategy for metabolite profiling of skin tissue.Metabolomics : Official journal of the Metabolomic Society · 2024
    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

8 authors.

Ting BuDepartment of Environment Science & Biotechnology, Jeonju University, Jeonju 55069, Korea.
Ming ZhangDepartment of Environment Science & Biotechnology, Jeonju University, Jeonju 55069, Korea.ORCID 0000-0001-9351-9837
Sun-Hee LeeDepartment of Biotechnology, Graduate School, Korea University, Seoul 02841, Korea.
Yu Eun CheongDepartment of Biotechnology, Graduate School, Korea University, Seoul 02841, Korea.
Yukyung ParkGraduate School of Energy/Biotechnology, Dongseo University, Busan 47011, Korea.ORCID 0000-0003-1190-9861
Kyoung Heon KimDepartment of Biotechnology, Graduate School, Korea University, Seoul 02841, Korea.ORCID 0000-0003-4600-8668
Dongwon KimGraduate School of Energy/Biotechnology, Dongseo University, Busan 47011, Korea.ORCID 0000-0001-5740-934X
Sooah KimDepartment of Environment Science & Biotechnology, Jeonju University, Jeonju 55069, Korea.

Funding

National Research Foundation of Korea 2020R1C1C1005206National Research Foundation of Korea 2020R1G1A100826811
6 · The paper itself

Abstract

Skin has heterogenous identities on different body sites despite similar cellular compositions. There are two types of skin, volar (palmoplantar) and non-volar (dorsal), which are characterized by epidermal thickness, pigmentation, and presence of hair follicles. However, the mechanisms underlying the development of these different skin types remain unclear. To investigate these, we profiled the cellular metabolites of volar and non-volar skin in mice using gas chromatography-time-of-flight/mass spectrometry (GC-TOF/MS), and further assessed the metabolic differences between them. In total, 96 metabolites from both volar and non-volar skin of mice were identified using the BinBase database system. Metabolomics analysis revealed important differences associated with amino acid metabolism (phenylalanine, tyrosine, and tryptophan biosynthesis; aspartate and glutamate metabolism), sugar metabolism (pentose phosphate pathway), and nucleotide metabolism (pyrimidine metabolism) in volar skin. Fifty metabolites were identified as potential biomarkers differentiating the physiological characteristics of these skin types. Of these, nine were highly increased whereas 41 were significantly decreased in volar skin compared with those in non-volar skin. Overall, these results provide valuable information for understanding the metabolic differences between volar and non-volar skin.

Indexed as

GC-TOF/MSmetabolomic analysisnon-volar skinvolar skin

Identifiers

PMID36005589
PMCPMC9415232

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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.