Evidence map›Paper›PMID 39748077›Full record

ArticleScientific reports2025

FSTL1 aggravates high glucose-induced oxidative stress and transdifferentiation in HK-2 cells.

Baoyuan Zhang, Hang Geng, Kai Zhao, Moussa Omorou, Shuang Liu, Zhihui Ye, Fanting Zhang, Haiyan Luan, Xuesong Zhang

Abstract read
In one paragraph

Article in Scientific reports, 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. Review
  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

9 authors.

Baoyuan Zhang *Department of Histology and Embryology, School of Basic Medicine, Jiamusi University, Jiamusi, Heilongjiang, China.
Hang Geng *Medical Imaging Center, First Affiliated Hospital, Jiamusi University, Jiamusi, Heilongjiang, China.
Kai ZhaoKey Laboratory of Microecology-Immune Regulatory Network and Related Diseases, School of Basic Medicine, Jiamusi University, Jiamusi, Heilongjiang, China.
Moussa OmorouLaboratory of Medical Biochemistry, First Affiliated Hospital, University of Lomé, Lomé, Togo.
Shuang LiuKey Laboratory of Microecology-Immune Regulatory Network and Related Diseases, School of Basic Medicine, Jiamusi University, Jiamusi, Heilongjiang, China.
Zhihui YeDepartment of Orthodontics, Second Affiliated Hospital, Jiamusi University, Jiamusi, Heilongjiang, China.
Fanting ZhangKey Laboratory of Microecology-Immune Regulatory Network and Related Diseases, School of Basic Medicine, Jiamusi University, Jiamusi, Heilongjiang, China.
Haiyan LuanKey Laboratory of Microecology-Immune Regulatory Network and Related Diseases, School of Basic Medicine, Jiamusi University, Jiamusi, Heilongjiang, China. luanhaiyan@jmsu.edu.cn.ORCID 0000-0003-1921-2890
Xuesong ZhangMedical Imaging Center, First Affiliated Hospital, Jiamusi University, Jiamusi, Heilongjiang, China. 18603683456@163.com.ORCID 0000-0003-2432-2090

Funding

Chinese Medicine Research Program in Heilongjiang Province, China No. ZHY2024-104Heilongjiang Provincial Higher Education Institutions' Basic Research Operating Expenses Project, China No. 2022-KYYWF-0656Jiamusi University Key Project, China No. Sz2013-003Jiamusi University National Foundation Cultivation Program, China No. JMSUGPZR2023-019
6 · The paper itself

Abstract

Chronic hyperglycemia, a hallmark of diabetes, can trigger inflammatory responses in the kidney, leading to diabetic nephropathy (DN). Follistatin-like protein 1 (FSTL1) has emerged as a potential therapeutic target in various kidney diseases. This study investigated the effect of high glucose on FSTL1 expression and its role in oxidative stress and cellular transdifferentiation injury in HK-2 human proximal tubule epithelial cells, a model of DN. We investigated FSTL1's level in HK-2 cells exposed to high glucose using Western blotting and quantitative real-time polymerase chain reaction (qRT-PCR). FSTL1 was manipulated using recombinant human FSTL1 (rhFSTL1) or lentiviral shFSTL1. We then analyzed proliferation, oxidative stress, transdifferentiation, cell migration, and the nuclear factor kappa-B (NF-κB) signaling pathway potentially involved in FSTL1 effects. Finally, we blocked the NF-κB pathway to see its influence on these cellular processes. High glucose exposure significantly increased FSTL1 in HK-2 cells, with longer/higher glucose further amplifying this effect. Silencing of FSTL1 ameliorates cellular damage by promoting proliferation, enhancing superoxide dismutase (SOD) and glutathione (GSH) activity, and reducing malondialdehyde (MDA) production, inhibiting cell migration. Furthermore, it prevented the harmful conversion of HK-2 cells from epithelial to myofibroblast-like phenotypes, evidenced by decreased fibronectin (FN) and α-smooth muscle actin (α-SMA) and preserved E-cadherin. Notably, silencing FSTL1 also inhibited the NF-κB signaling pathway. Conversely, rhFSTL1 exhibited opposite effects. Importantly, blocking NF-κB reversed the detrimental effects of FSTL1. These findings suggest that FSTL1 contributes to high glucose-induced kidney injury by promoting oxidative stress and cellular transdifferentiation potentially via the NF-κB pathway. Targeting FSTL1 may represent a novel therapeutic strategy for preventing or mitigating DN progression.

Indexed as

Cell MovementCell TransdifferentiationFollistatin-Related ProteinsGlucoseNF-kappa BOxidative StressSignal TransductionCell LineCell ProliferationDiabetic NephropathiesEpithelial CellsHumansKidney Tubules, ProximalFollistatin-Related ProteinsFSTL1 protein, humanGlucoseNF-kappa BDiabetic nephropathyFollistatin-like protein 1Oxidative stressTransdifferentiation

Identifiers

PMID39748077
PMCPMC11696259

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.