Evidence map›Paper›PMID 40919667›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

Role of SLC16A10 in Psoriasis Through the Regulation of Arachidonic Acid Metabolism in Keratinocytes.

Jingyuan Yang, Yixuan Chen, Bowei Li, Shuang Wu, Hang Liang, Xingyue Yang, Xiaozhen Li, Ping Sun, Guangjin Guo, Ting Li and 8 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Study on the Mechanism ofPharmaceuticals (Basel, Switzerland) · 2026
    Article
  3. 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

18 authors.

Jingyuan YangDepartment of Dermatology, Air Force Medical Center, PLA, Beijing, 100142, China.ORCID https://orcid.org/0009-0008-0880-5504
Yixuan ChenDepartment of Dermatology, Air Force Medical Center, PLA, Beijing, 100142, China.
Bowei LiDepartment of Dermatology, Air Force Medical Center, PLA, Beijing, 100142, China.
Shuang WuDepartment of Dermatology, Air Force Medical Center, PLA, Beijing, 100142, China.
Hang LiangChongqing Medical University School of Basic Medicine, Chongqing, 400016, China.
Xingyue YangDepartment of Dermatology, Air Force Medical Center, PLA, Beijing, 100142, China.
Xiaozhen LiDepartment of Dermatology, Air Force Medical Center, PLA, Beijing, 100142, China.
Ping SunDepartment of Dermatology, Air Force Medical Center, PLA, Beijing, 100142, China.
Guangjin GuoClinical Medicine Laboratory of Air Force Medical Center, PLA, Beijing, 100142, China.
Ting LiDepartment of Dermatology, Air Force Medical Center, PLA, Beijing, 100142, China.
Yuying JiaDepartment of Dermatology, Air Force Medical Center, PLA, Beijing, 100142, China.
Haijiao LiDepartment of Dermatology, Air Force Medical Center, PLA, Beijing, 100142, China.
Mengqi BaiDepartment of Plastic and Cosmetic Surgery, Daping Hospital, Army Medical University, Chongqing, 400042, China.
Jie XuDepartment of Plastic and Cosmetic Surgery, Daping Hospital, Army Medical University, Chongqing, 400042, China.
Zhijie LiuDepartment of Plastic and Cosmetic Surgery, Daping Hospital, Army Medical University, Chongqing, 400042, China.
Wei LiuDepartment of Dermatology, Air Force Medical Center, PLA, Beijing, 100142, China.
Xiangkang JiangDepartment of Plastic and Cosmetic Surgery, Daping Hospital, Army Medical University, Chongqing, 400042, China.
Hong CaiDepartment of Dermatology, Air Force Medical Center, PLA, Beijing, 100142, China.ORCID https://orcid.org/0000-0002-5937-9225

Funding

Natural Science Foundation of China 82274312Natural Science Foundation of China 82404183
6 · The paper itself

Abstract

Psoriasis is an inflammatory dermatological condition challenging to treat and prone to recurrence. The pathogenesis of psoriasis is closely associated with metabolic disorders, while therapies targeting the dysregulated metabolism in psoriasis remain limited. Therefore, exploring the pathogenesis of psoriasis and identifying potential metabolic therapeutic targets is imperative. In this study, potential biomarkers for clinically targeted metabolic therapies in patients with psoriasis are aimed to be identified. RNA-sequencing analysis is performed on metabolism-related genes to identify differentially expressed metabolism-related genes. Then, various bioinformatics analyses and comprehensive functional experiments are conducted to verify the roles of the identified genes. A key gene SLC16A10 is identified with significant diagnostic and therapeutic potential for psoriasis. SLC16A10 is likely involved in arachidonic acid metabolism in keratinocytes through regulating thyroid hormone homeostasis, contributing to the development of psoriasis. SLC16A10 represents a promising therapeutic target for guttate psoriasis and can improve the outcomes of existing immune-targeted therapeutic agents. Comprehensive in vitro and in vivo experiments confirm that SLC16A10 downregulation alleviates the severity of psoriasis and hyperinflammation. Moreover, SLC16A10 may induce one of the sequelae of psoriasis, namely post-inflammatory hypopigmentation, by inhibiting melanogenesis. These findings demonstrate the potential of SLC16A10 as a diagnostic biomarker and therapeutic target for psoriasis.

Indexed as

Arachidonic AcidKeratinocytesMonocarboxylic Acid TransportersPsoriasisAnimalsHumansMiceArachidonic AcidMonocarboxylic Acid Transportersarachidonic acid metabolismguttate psoriasiskeratinocytespsoriasissingle‐cell RNA sequencingSLC16A10

Identifiers

PMID40919667
PMCPMC12533357

What Socratic holds

Textmetadata
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 Socratic graph.