Evidence map›Paper›PMID 42671010›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Multi-Technique Integration Identifies O-GlcNAc Transferase in Fibroblast-Like Synoviocytes as a Therapeutic Target for Rheumatoid Arthritis.

Duoli Xie, Jie Huang, Chunhao Cao, Zhenchao Tang, Xingchen Li, Jianmin Guo, Xinxin Chen, Fang Wang, Dongyi He, Jie Li and 5 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 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

15 authors.

Duoli Xie *Department of Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, China.
Jie Huang *Department of Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, China.
Chunhao Cao *Department of Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, China.ORCID https://orcid.org/0000-0002-2848-3329
Zhenchao Tang *AI for Life Sciences Lab, Tencent, Shenzhen, China.
Xingchen LiDepartment of Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, China.
Jianmin GuoDepartment of Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, China.
Xinxin ChenDepartment of Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, China.
Fang WangAI for Life Sciences Lab, Tencent, Shenzhen, China.
Dongyi HeDepartment of Rheumatology, Guanghua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Jie LiDepartment of Laboratory Medicine, Peking University Shenzhen Hospital, Shenzhen, China.ORCID https://orcid.org/0000-0002-9273-0494
Yu DuDepartment of Orthopedics, The Second Affiliated Hospital of Chongqing Medical University, Chongqing Medical University, Chongqing, China.
Bing HeAI for Life Sciences Lab, Tencent, Shenzhen, China.
Jianhua YaoAI for Life Sciences Lab, Tencent, Shenzhen, China.
Aiping LuInstitute of Integrated Bioinformedicine and Translational Science (IBTS), School of Chinese Medicine, Hong Kong Baptist University, Hong Kong SAR, China.ORCID https://orcid.org/0000-0002-2303-0494
Chao LiangDepartment of Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, China.ORCID https://orcid.org/0000-0002-5617-3483

Funding

Hong Kong General Research Fund 12102722Hong Kong General Research Fund 12104825Hong Kong General Research Fund 12106424Hong Kong RGC Theme-based Research Scheme T12-201/20-RNational Key R&D Program of China 2024YFC3506200National Key R&D Program of China 2024YFC3506205National Natural Science Foundation Council of China 82472394National Natural Science Foundation Council of China 82673069Shenzhen LingGene Biotech Co. LtdShenzhen Medical Research Fund B2502016Shenzhen Science and Technology Program JCYJ20210324104201005Shenzhen Science and Technology Program SGDX20240115112400001
6 · The paper itself

Abstract

Rheumatoid arthritis (RA) progression is driven by the pathogenic transformation of stromal fibroblast-like synoviocytes (FLSs). Using artificial intelligence-guided analysis of a synovial single-cell transcriptomic dataset, we identify O-GlcNAc transferase (OGT) as a key regulator enriched in RA-FLSs. Gain- and loss-of-function studies demonstrate that OGT is necessary to drive aggressive FLS phenotypes and exacerbate experimental arthritis. Mechanistically, OGT-mediated O-GlcNAcylation stabilizes SAP130, promoting histone deacetylation at the BTG2 promoter. This facilitates the deposition of repressive histone methylation marks, leading to BTG2 epigenetic silencing and ultimately fueling FLS aggression. To translate this mechanistic insight, we develop an FLS-targeted proteolysis-targeting chimera (PROTAC) by conjugating the OGT inhibitor OSMI-1 to the AS1411 aptamer, which selectively binds surface nucleolin (NCL) overexpressed on pathogenic FLSs and, upon internalization, employs NCL as a molecular bridge to recruit the E3 ligase MDM2 for cell-selective OGT degradation. This PROTAC suppresses FLS pathogenicity, attenuates arthritis in mice, and demonstrates additive therapeutic benefit when combined with the TNF-α inhibitor etanercept. Collectively, our work establishes a translational paradigm that progresses from AI-driven target discovery and mechanistic elucidation to the rational design of a cell-type-specific degradation therapy, offering a strategy to overcome the stromal-driven therapeutic barrier in RA.

Indexed as

artificial intelligencefibroblast‐like synoviocytesO‐GlcNAc transferasePROTACrheumatoid arthritis

Identifiers

PMID42671010
PMCPMC13528181

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.