CD44, ACAN, PLVAP, and HBEGF Emerged as Potential Biomarkers in Diabetic Retinopathy

Qingbo Li,1,* Xu Zhou,1,* Ying Wang,2,* Yi Peng,1 Juping Liu,1 Xiaorong Li,1 Yan Shao1,2 1Tianjin Key Laboratory of Retinal Functions and Diseases, Tianjin Branch of National Clinical Research Center for Ocular Disease, Eye Institute and School of Optometry, Tianjin Medical University Eye Hospital, Tianjin, 300384, People’s Republic of China; 2Modern Medical Teaching and Research Section, Department of Tibetan Medicine, University of Tibetan Medicine, Lhasa, Tibet Autonomous Region, 850000, People’s Republic of China*These authors contributed equally to this workCorrespondence: Yan Shao, Email [email protected]: DNA methylation was critically involved in the occurrence and development of diabetic retinopathy (DR), but the clinical diagnostic value and mechanism remains unclear. This study aimed to identify and validate the biomarkers associated with DNA methylation in DR.Methods: Public databases provided the data used in this study. The biomarkers associated with DNA methylation in proliferative diabetic retinopathy (PDR) and non-proliferative diabetic retinopathy (NPDR) were identified by differential expression analysis, protein-protein interaction network construction, mendelian randomization, and 2 machine learning algorithms, respectively. Gene set enrichment analysis was utilized to determine the functional roles of these biomarkers. The cell-specific expression patterns of biomarkers were analyzed at the single-cell level. Immune infiltration analysis was performed to further study the relationship between biomarkers, and 28 types of immune cell infiltration. The diagnostic power of biomarkers was assessed by the receiver operating curve (ROC) and nomogram.Results: CD44 was preliminarily identified as a biomarker linked to PDR, whereas ACAN, PLVAP, and HBEGF emerged as biomarkers associated with NPDR. The biomarkers were involved ibosome, lysosome, oxidative phosphorylation, aminoacyl tRNA biosynthesis, P53 signaling pathway, and other pathways. In the retina of diabetic mice, PLVAP and HBEGF were mainly enriched in neutrophils. In the retinal fibroproliferative membranes of PDR patients, CD44 were mainly enriched in monocytes/macrophages. Moreover, CD44 was positively correlated with the remaining differential immune cells except for type 2 T helper cells. Effector memory CD4 T cells showed the strongest positive correlation with ACAN and the largest negative correlation with HBEGF. Finally, the ROC and nomogram validated biomarkers had an excellent diagnostic efficacy.Conclusion: This study identified 4 genes (CD44, ACAN, PLVAP, and HBEGF) associated with DNA methylation may serve as biomarkers of DR, offering new insights into potential therapeutic strategies for DR.Keywords: diabetic retinopathy, DNA methylation, transcriptome, single-cell RNA sequencing analysis, Mendelian randomization, machine learning

Institutions

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2025-10-01
Primary Topic
Historical Art and Architecture Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

CD44, ACAN, PLVAP, and HBEGF Emerged as Potential Biomarkers in Diabetic Retinopathy

SHILAP Revista de lepidopterología
Historical Art and Architecture Studies
article

CD44, ACAN, PLVAP, and HBEGF Emerged as Potential Biomarkers in Diabetic Retinopathy

article en

Abstract

Qingbo Li,1,* Xu Zhou,1,* Ying Wang,2,* Yi Peng,1 Juping Liu,1 Xiaorong Li,1 Yan Shao1,2 1Tianjin Key Laboratory of Retinal Functions and Diseases, Tianjin Branch of National Clinical Research Center for Ocular Disease, Eye Institute and School of Optometry, Tianjin Medical University Eye Hospital, Tianjin, 300384, People’s Republic of China; 2Modern Medical Teaching and Research Section, Department of Tibetan Medicine, University of Tibetan Medicine, Lhasa, Tibet Autonomous Region, 850000, People’s Republic of China*These authors contributed equally to this workCorrespondence: Yan Shao, Email [email protected]: DNA methylation was critically involved in the occurrence and development of diabetic retinopathy (DR), but the clinical diagnostic value and mechanism remains unclear. This study aimed to identify and validate the biomarkers associated with DNA methylation in DR.Methods: Public databases provided the data used in this study. The biomarkers associated with DNA methylation in proliferative diabetic retinopathy (PDR) and non-proliferative diabetic retinopathy (NPDR) were identified by differential expression analysis, protein-protein interaction network construction, mendelian randomization, and 2 machine learning algorithms, respectively. Gene set enrichment analysis was utilized to determine the functional roles of these biomarkers. The cell-specific expression patterns of biomarkers were analyzed at the single-cell level. Immune infiltration analysis was performed to further study the relationship between biomarkers, and 28 types of immune cell infiltration. The diagnostic power of biomarkers was assessed by the receiver operating curve (ROC) and nomogram.Results: CD44 was preliminarily identified as a biomarker linked to PDR, whereas ACAN, PLVAP, and HBEGF emerged as biomarkers associated with NPDR. The biomarkers were involved ibosome, lysosome, oxidative phosphorylation, aminoacyl tRNA biosynthesis, P53 signaling pathway, and other pathways. In the retina of diabetic mice, PLVAP and HBEGF were mainly enriched in neutrophils. In the retinal fibroproliferative membranes of PDR patients, CD44 were mainly enriched in monocytes/macrophages. Moreover, CD44 was positively correlated with the remaining differential immune cells except for type 2 T helper cells. Effector memory CD4 T cells showed the strongest positive correlation with ACAN and the largest negative correlation with HBEGF. Finally, the ROC and nomogram validated biomarkers had an excellent diagnostic efficacy.Conclusion: This study identified 4 genes (CD44, ACAN, PLVAP, and HBEGF) associated with DNA methylation may serve as biomarkers of DR, offering new insights into potential therapeutic strategies for DR.Keywords: diabetic retinopathy, DNA methylation, transcriptome, single-cell RNA sequencing analysis, Mendelian randomization, machine learning

SHILAP Revista de lepidopterología
Tianjin University (CN), Tianjin Hospital (CN), Tianjin Medical University Eye Hospital (CN), Tianjin Medical University (CN)
Openalex Percentile: Top 37%
Historical Art and Architecture Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.