Evidence map›Paper›PMID 40818454›Full record

ArticleCell2025

Fibroblast bioelectric signaling drives hair growth.

Daoming Chen, Zhou Yu, Wenbo Wu, Yingxue Du, Qianqian Du, Huanwei Huang, Yaqi Li, Ting Xuan, Ya-Chen Liang, Yang Liu and 10 more

Abstract read
In one paragraph

Article in Cell, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Electrical Stimulation Directs Formation of Perfused Vasculature in Engineered Tissues.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Signal control during tissue regeneration in adult animals.Nature reviews. Molecular cell biology · 2026
    Review
  9. Nitrogen-Boosted HAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  10. Article
  11. 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

20 authors.

Daoming ChenNational Institute of Biological Sciences, Beijing, China.
Zhou YuDepartment of Pathology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Wenbo WuNational Institute of Biological Sciences, Beijing, China.
Yingxue DuNational Institute of Biological Sciences, Beijing, China.
Qianqian DuNational Institute of Biological Sciences, Beijing, China.
Huanwei HuangNational Institute of Biological Sciences, Beijing, China.
Yaqi LiNational Institute of Biological Sciences, Beijing, China.
Ting XuanNational Institute of Biological Sciences, Beijing, China.
Ya-Chen LiangDepartment of Pathology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Yang LiuChinese Institute for Brain Research, Beijing, China.
Zijuan WangDepartment of Dermatology, Plastic Surgery Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Rina SuDepartment of Dermatology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.
Yi ZhaoDepartment of Dermatology, Beijing Tsinghua Changgung Hospital, Tsinghua University, Beijing, China.
Qi LiNational Institute of Biological Sciences, Beijing, China.
Minmin LuoChinese Institute for Brain Research, Beijing, China.
Fengchao WangNational Institute of Biological Sciences, Beijing, China.
Ji LiDepartment of Dermatology, Xiangya Hospital, Central South University, Changsha, China.
Cheng-Ming ChuongDepartment of Pathology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Zhimiao LinDermatology Hospital, Southern Medical University, Guangzhou, China. Electronic address: zhimiaolin@bjmu.edu.cn.
Ting ChenNational Institute of Biological Sciences, Beijing, China; Tsinghua Institute of Multidisciplinary Biomedical Research, Tsinghua University, Beijing, China. Electronic address: chenting@nibs.ac.cn.

Funding

Intra- and inter-cluster regulations of multiplex gene clustersR35GM150714 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Ya-Chen Liang · 2023 to 2026
$1.6M
NIGMS NIH HHS R35 GM150714
6 · The paper itself

Abstract

Hair loss affects millions globally, significantly impacting quality of life and psychological well-being. Despite its prevalence, effective strategies for promoting human hair growth remain elusive. By investigating congenital generalized hypertrichosis terminalis (CGHT), a rare genetic disorder characterized by excessive hair growth, we discover that chromatin deletions or an inverted duplication disrupt the topologically associating domain (TAD), leading to the upregulation of the potassium channel KCNJ2 in dermal fibroblasts. Mouse genetics demonstrate that KCNJ2-mediated membrane hyperpolarization in dermal fibroblasts promotes hair growth by enhancing fibroblasts Wnt signaling responses, involving a reduction in intracellular calcium levels. Notably, fibroblast membrane potential oscillates during the normal hair cycle, with hyperpolarization specifically associated with the growth phase. Inducing fibroblast membrane depolarization delays the growth phase, while KCNJ2-mediated hyperpolarization rescues hair loss in aging and androgenetic alopecia models. These results uncover a previously unrecognized role of fibroblast bioelectricity in tissue regeneration, offering novel therapeutic avenues for hair loss treatment.

Indexed as

FibroblastsHairAlopeciaAnimalsCalciumChromatinHumansHypertrichosisMaleMembrane PotentialsMiceMice, Inbred C57BLPotassium Channels, Inwardly RectifyingSignal TransductionWnt Signaling PathwayCalciumChromatinPotassium Channels, Inwardly Rectifyingbioelectric signalingfibroblast nichehair follicle regenerationKCNJ2

Identifiers

PMID40818454
PMCPMC13308630

What OpenQuestion holds

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LicenceTDM
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.