Evidence map›Paper›PMID 40234836›Full record

ArticleBMC veterinary research2025

PSAT1 regulates hair follicle growth and stem cell behavior in cashmere goats.

Xiao-Yu Han, Jia-Ning Liu, Nan-Xiang Sun, Yin-Xian Zhang, Hao-Bing Bai, Wei-Guo Song, Xiao Hu, Hao Liang, Xiong Miao, Yun-Mei He and 2 more

Abstract read
In one paragraph

Article in BMC veterinary research, 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. Article
  3. 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

12 authors.

Xiao-Yu Han *Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, School of Life Sciences, Inner Mongolia University, Hohhot, 010000, China.
Jia-Ning Liu *Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, School of Life Sciences, Inner Mongolia University, Hohhot, 010000, China.
Nan-Xiang SunKey Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, School of Life Sciences, Inner Mongolia University, Hohhot, 010000, China.
Yin-Xian ZhangKey Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, School of Life Sciences, Inner Mongolia University, Hohhot, 010000, China.
Hao-Bing BaiKey Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, School of Life Sciences, Inner Mongolia University, Hohhot, 010000, China.
Wei-Guo SongKey Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, School of Life Sciences, Inner Mongolia University, Hohhot, 010000, China.
Xiao HuKey Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, School of Life Sciences, Inner Mongolia University, Hohhot, 010000, China.
Hao LiangKey Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, School of Life Sciences, Inner Mongolia University, Hohhot, 010000, China.
Xiong MiaoAgriculture and Animal Husbandry Technology Extension Center, Etuoke Banner, 016100, China.
Yun-Mei HeAgriculture and Animal Husbandry Technology Extension Center, Etuoke Banner, 016100, China.
Dong-Jun LiuKey Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, School of Life Sciences, Inner Mongolia University, Hohhot, 010000, China.
Xu-Dong GuoKey Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, School of Life Sciences, Inner Mongolia University, Hohhot, 010000, China. xudguo@163.com.

Funding

the National Natural Science Foundation of China U23A20226the Natural Science Foundation of Inner Mongolia Autonomous Region of China 2022MS03042the Science and Technology Major Project of Inner Mongolia Autonomous Region of China to the State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock 2021ZD0048the Science and Technology Plan Project of Inner Mongolia Au-tonomous Region of China 2023KYPT0014
6 · The paper itself

Abstract

backgroundThe Arbas Cashmere Goat from Inner Mongolia is renowned for its superior-quality cashmere, which is primarily produced by secondary hair follicles (SHFs). Secondary hair follicle stem cells (SHFSCs) are critical regulators of SHF growth and development. However, the specific regulatory mechanisms of phosphoserine aminotransferase 1 (PSAT1) in SHFSCs remain unclear. This study aimed to examine the expression pattern of the PSAT1 gene during SHF cycle transitions in cashmere goats and analyze its effects on SHFSC survival and wound healing.

resultsPSAT1 expression was significantly higher in the anagen phase than in the telogen phase, and was predominantly localized to the bulge region. Functional analyses revealed that elevated PSAT1 expression inhibited SHFSC survival and delayed wound healing; on the other hand, a reduced expression promoted SHFSC survival and accelerated healing. Transcriptomic profiling further demonstrated that PSAT1 expression levels markedly altered the gene expression landscape of SHFSCs. Notably, key signaling pathways essential for hair follicle growth and development, such as Wnt/β-catenin, MAPK, and TGF-β, were significantly affected by PSAT1 modulation.

conclusionsThis study highlights PSAT1 as a critical regulator of SHFSC function in cashmere goats, affecting both cellular survival and regenerative capacity. Through its modulation of multiple signaling pathways, PSAT1 plays a pivotal role in the SHF cycle and may serve as a potential molecular target for improving cashmere fiber production.

Indexed as

GoatsHair FollicleStem CellsAnimalsWound HealingCashmereCell survivalPhosphoserine aminotransferase 1Secondary hair folliclesSecondary hair follicle stem cellsTranscriptomicsWound healing

Identifiers

PMID40234836
PMCPMC12001598

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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.