Evidence map›Paper›PMID 40454507›Full record

ArticleEndocrine, metabolic & immune disorders drug targets2026

Genome-wide Association Studies of the Pathogenic Sphingosine-1-Phosphate Gene in Ulcerative Colitis

Hongyu Chen, Jingyu Shang, Song Zhao, Luzhou Xu, Hong Shen

Abstract read
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Article in Endocrine, metabolic & immune disorders drug targets, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Hongyu ChenDepartment of Gastroenterology, Afffliated Hospital of Nanjing University of Chinese Medicine (JiangSu Province Hospital of Chinese Medicine), Nanjing, China.
Jingyu ShangDepartment of Gastroenterology, Afffliated Hospital of Nanjing University of Chinese Medicine (JiangSu Province Hospital of Chinese Medicine), Nanjing, China.
Song ZhaoDepartment of Gastroenterology, Afffliated Hospital of Nanjing University of Chinese Medicine (JiangSu Province Hospital of Chinese Medicine), Nanjing, China.
Luzhou XuDepartment of Gastroenterology, Afffliated Hospital of Nanjing University of Chinese Medicine (JiangSu Province Hospital of Chinese Medicine), Nanjing, China.
Hong ShenDepartment of Gastroenterology, Afffliated Hospital of Nanjing University of Chinese Medicine (JiangSu Province Hospital of Chinese Medicine), Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUlcerative colitis (UC) is a chronic inflammatory bowel disease that can lead to malignancies over time. Sphingosine-1-phosphate (S1P) receptor signaling affects lymphocyte trafficking and vascular integrity, influencing intestinal inflammation. This study aimed to identify S1P-related key genes in UC.

methodsDifferentially expressed genes (DEGs) between the UC and control groups were analyzed in the GSE87473 (training) dataset. Genes overlapping between the DEGs and S1P-related genes were considered candidate genes. These genes were incorporated into machine learning algorithms and subjected to expression analysis to identify key genes. Gene functions were determined through a gene–gene interaction network, enrichment analysis, and immune cell infiltration analysis. In addition, transcription factor–mRNA and mRNA–miRNA–lncRNA networks were constructed. Finally, reverse transcription–quantitative polymerase chain reaction (RT-qPCR) was performed to evaluate the expression of key candidate genes in UC and control tissues.

resultsThis study identified two key genes (SPHK2 and SPNS2) associated with UC. Notably, SPHK2 expression was lower and SPNS2 expression was higher in the UC group in both training and validation datasets and in clinical UC tissues (RT-qPCR). The area under the curve values of SPHK2 and SPNS2 exceeded 0.7 in both datasets, indicating that the genes had good diagnostic efficacy for UC. Consistently, the nomogram showed that the two genes had promising diagnostic value in UC. SPHK2 and SPNS2 were found to be localized to the plasma membrane. The correlations of the two genes with different immune cells showed significantly opposite trends. In particular, SPHK2 had the strongest positive correlation with M2 macrophages (r = 0.6) and the strongest negative correlation with neutrophils. Moreover, mRNA–miRNA–lncRNA and transcription factor– mRNA networks of the key genes were constructed.

conclusionThis study suggests that SPHK2 and SPNS2 are key genes associated with UC, highlighting their potential as effective diagnostic biomarkers.

Indexed as

Anion Transport ProteinsColitis, UlcerativeGenome-Wide Association StudyLysophospholipidsPhosphotransferases (Alcohol Group Acceptor)SphingosineGene Regulatory NetworksHumansSphingosine KinaseAnion Transport ProteinsLysophospholipidsPhosphotransferases (Alcohol Group Acceptor)Sphingosinesphingosine 1-phosphateSphingosine KinaseSpns2 protein, humanimmune cell infiltration.<i>SPHK2sphingosine-1-phosphateSPNS2</i>Ulcerative colitis

Identifiers

PMID40454507
PMCPMC13559961

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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.