Evidence map›Paper›PMID 42725069›Full record

ReviewFrontiers in medicine2026

Skin phenotype diversity across populations: from skin morphology to molecular phenotype.

Xiaoqian Yu, Meiting Yi, Jiayuan Shi, Yan Jia, Liya Song, Huaming He

Abstract readReview
In one paragraph

Review in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Xiaoqian YuSchool of Light Industry Science and Engineering, Beijing Technology and Business University, Beijing, China.
Meiting YiSchool of Light Industry Science and Engineering, Beijing Technology and Business University, Beijing, China.
Jiayuan ShiSchool of Light Industry Science and Engineering, Beijing Technology and Business University, Beijing, China.
Yan JiaSchool of Light Industry Science and Engineering, Beijing Technology and Business University, Beijing, China.
Liya SongSchool of Light Industry Science and Engineering, Beijing Technology and Business University, Beijing, China.
Huaming HeSchool of Light Industry Science and Engineering, Beijing Technology and Business University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The considerable range of phenotypic variation observed in human populations may partly reflect distinct processes of natural selection and adaptation to variable environmental conditions. Differences in physiological indices, structure, molecular phenotypes and metabolic mechanisms of the skin across populations with varying skin phototypes are also a reflection of this unique process. These differences are reflected in skin color, pH, moisture content, water loss, sebum secretion, and skin elasticity. The differences in skin properties are determined by variations in molecular phenotypes, such as morphology, gene expression, protein composition, lipid metabolism, and skin microecology. These molecular phenotypes, which are influenced by a complex interplay of genetic, environmental, and social factors, cluster differently across populations that are often categorized by race or ethnicity in the cited literature. Understanding skin morphology and molecular phenotypes across populations with diverse skin phototypes will allow for a more comprehensive understanding of the molecular mechanisms underlying differences in skin properties, and for more accurate dermatological diagnosis, skin management, and regulation of related products.

Indexed as

lipidmicroecologymolecular phenotypephysiological indicatorsskin

Identifiers

PMID42725069
PMCPMC13560493

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.