Evidence map›Paper›PMID 42257818›Full record

ArticleAdvanced biotechnology2026

SPAID: a comprehensive database for disease-specific autoantigens in autoimmune disorders.

Shunhui Deng, Fangfang Wei, Ya Pang, Luowanyue Zhang, Shengyao Zhi, Tianjian Chen, Zhixiang Zuo, Jian Ren, Yubin Xie, Xiaotong Luo

Abstract read
In one paragraph

Article in Advanced biotechnology, 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
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1 · What the graph read from it

What it found

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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

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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

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5 · Who and what money

Authors and funding

10 authors.

Shunhui Deng *Innovation Center of the Sixth Affiliated Hospital, School of Life Sciences, Sun Yat-Sen University, Guangzhou, 510060, China.
Fangfang Wei *Innovation Center of the Sixth Affiliated Hospital, School of Life Sciences, Sun Yat-Sen University, Guangzhou, 510060, China.
Ya Pang *Guangdong Provincial Key Laboratory of Pharmaceutical Bioactive Substances, School of Biosciences and Biopharmaceutics, Guangdong Pharmaceutical University, Guangzhou, 510006, China.
Luowanyue ZhangInnovation Center of the Sixth Affiliated Hospital, School of Life Sciences, Sun Yat-Sen University, Guangzhou, 510060, China.
Shengyao ZhiGuangdong Provincial Key Laboratory of Pharmaceutical Bioactive Substances, School of Biosciences and Biopharmaceutics, Guangdong Pharmaceutical University, Guangzhou, 510006, China.
Tianjian ChenState Key Laboratory of Oncology in South China, Cancer Center, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University, Guangzhou, 510060, China.
Zhixiang ZuoState Key Laboratory of Oncology in South China, Cancer Center, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University, Guangzhou, 510060, China.
Jian RenInnovation Center of the Sixth Affiliated Hospital, School of Life Sciences, Sun Yat-Sen University, Guangzhou, 510060, China. renjian@sysucc.org.cn.
Yubin XieInstitute of Precision Medicine, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510060, China. xieyb6@mail.sysu.edu.cn.
Xiaotong LuoInnovation Center of the Sixth Affiliated Hospital, School of Life Sciences, Sun Yat-Sen University, Guangzhou, 510060, China. luoxt36@mail.sysu.edu.cn.

Funding

Discipline training, innovation, the quality improvement engineering team project of Guangdong Pharmaceutical University 2024QZ02Guangdong Province Excellent Youth Team Project 2024B1515040009Guangzhou Science and Technology Bureau 'Qihang' Program for Young PhDs in Basic and Applied Research SL2024A04J00715Guangzhou Science and Technology Bureau 'Qihang' Program for Young PhDs in Basic and Applied Research SL2024A04J01833National Key Research and Development Program of China 2023YFC2705900National Natural Science Foundation of China 32200542National Natural Science Foundation of China 32470709National Natural Science Foundation of China 32570765National Natural Science Foundation of China 82301233Natural Science Foundation of Guangdong Province 2025A1515011032
6 · The paper itself

Abstract

Autoimmune diseases (ADs) are chronic inflammatory disorders characterized by complex etiologies and significant diagnostic challenges. Although autoantigens are critical for precision diagnosis and therapy, much of the immunogenic landscape remains unexplored due to the historical focus on canonical proteins. Here, we developed SPAID ( https://spaid.renlab.cn ), a comprehensive resource for candidate autoantigen discovery across 14 ADs that integrates canonical and non-canonical proteins within a two-level evidence framework. The validated level contains proteins associated with experimentally confirmed epitopes from T-cell assays and major histocompatibility complex (MHC) ligand assays. The proteomics-based level contains proteins identified by mass spectrometry (MS) from human samples, further annotated with differential expression patterns, immunogenicity scores, and functional features to support candidate autoantigen discovery and further validation. By combining validated evidence with proteomics-based evidence, SPAID enables the comprehensive characterization of candidate autoantigen repertoires and facilitates mechanistic investigation into antigen origins and pathogenic recognition. Overall, SPAID provides a foundational resource for advancing antigen-centered research and developing novel diagnostic and therapeutic strategies in autoimmunity.

Indexed as

Autoimmune diseasesCandidate autoantigensNon-canonical proteinsProteomicsSmall peptides

Identifiers

PMID42257818
PMCPMC13246995

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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.