Single-cell transcriptome profiling highlights the role of APP in blood vessels in assessing the risk of patients with proliferative diabetic retinopathy developing Alzheimer’s disease

Xu, Xiaoyu; Zhang, Cheng; Tang, Guoyi; Wang, Ning; Feng, Yibin

doi:10.3389/fcell.2023.1328979

Cited by 3 publications

(2 citation statements)

References 55 publications

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“…A study by Xu et al. 36 revealed APP‐CD74 as the major pathway mediating the interactions of cells on FVMs of PDR in which the signalling was generated mainly from ECs and pericytes and received by most cell populations on FVMs. Corano‐Scheri et al.…”

Section: Cell‒cell Communication In Drmentioning

confidence: 99%

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Single‐cell RNA sequencing in exploring the pathogenesis of diabetic retinopathy

Zhang,

2024

Clinical & Translational Med

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Diabetic retinopathy (DR) is a leading cause of irreversible blindness in the working‐age populations. Despite decades of research on the pathogenesis of DR for clinical care, a comprehensive understanding of the condition is still lacking due to the intricate cellular diversity and molecular heterogeneity involved. Single‐cell RNA sequencing (scRNA‐seq) has made the high‐throughput molecular profiling of cells across modalities possible which has provided valuable insights into complex biological systems. In this review, we summarise the application of scRNA‐seq in investigating the pathogenesis of DR, focusing on four aspects. These include the identification of differentially expressed genes, characterisation of key cell subpopulations and reconstruction of developmental ‘trajectories’ to unveil their state transition, exploration of complex cell‒cell communication in DR and integration of scRNA‐seq with genome‐wide association studies to identify cell types that are most closely related to DR risk genetic loci. Finally, we discuss the future challenges and expectations associated with studying DR using scRNA‐seq. We anticipate that scRNA‐seq will facilitate the discovery of mechanisms and new treatment targets in the clinical care landscape for patients with DR.Key points Progress in scRNA‐seq for diabetic retinopathy (DR) research includes studies on DR patients, non‐human primates, and the prevalent mouse models. scRNA‐seq facilitates the identification of differentially expressed genes, pivotal cell subpopulations, and complex cell‐cell interactions in DR at single‐cell level. Future scRNA‐seq applications in DR should target specific patient subsets and integrate with single‐cell and spatial multi‐omics approaches.

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Section: Cell‒cell Communication In Drmentioning

confidence: 99%

“…As shown in Table 1 , the application of scRNA‐seq to the study of DR has seen significant advancements. 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 …”

Section: Introductionmentioning

confidence: 99%

Single‐cell RNA sequencing in exploring the pathogenesis of diabetic retinopathy

Zhang,

2024

Clinical & Translational Med

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Immunometabolic changes and potential biomarkers in CFS peripheral immune cells revealed by single-cell RNA sequencing

Sun,

Zhang,

Qiao

et al. 2024

J Transl Med

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Multi-omics in exploring the pathophysiology of diabetic retinopathy

Li,

Dong,

Zhang

et al. 2024

Front. Cell Dev. Biol.

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Diabetic retinopathy (DR) is a leading global cause of vision impairment, with its prevalence increasing alongside the rising rates of diabetes mellitus (DM). Despite the retina’s complex structure, the underlying pathology of DR remains incompletely understood. Single-cell RNA sequencing (scRNA-seq) and recent advancements in multi-omics analyses have revolutionized molecular profiling, enabling high-throughput analysis and comprehensive characterization of complex biological systems. This review highlights the significant contributions of scRNA-seq, in conjunction with other multi-omics technologies, to DR research. Integrated scRNA-seq and transcriptomic analyses have revealed novel insights into DR pathogenesis, including alternative transcription start site events, fluctuations in cell populations, altered gene expression profiles, and critical signaling pathways within retinal cells. Furthermore, by integrating scRNA-seq with genetic association studies and multi-omics analyses, researchers have identified novel biomarkers, susceptibility genes, and potential therapeutic targets for DR, emphasizing the importance of specific retinal cell types in disease progression. The integration of scRNA-seq with metabolomics has also been instrumental in identifying specific metabolites and dysregulated pathways associated with DR. It is highly conceivable that the continued synergy between scRNA-seq and other multi-omics approaches will accelerate the discovery of underlying mechanisms and the development of novel therapeutic interventions for DR.

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Single-cell transcriptome profiling highlights the role of APP in blood vessels in assessing the risk of patients with proliferative diabetic retinopathy developing Alzheimer’s disease

Cited by 3 publications

References 55 publications

Single‐cell RNA sequencing in exploring the pathogenesis of diabetic retinopathy

Single‐cell RNA sequencing in exploring the pathogenesis of diabetic retinopathy

Immunometabolic changes and potential biomarkers in CFS peripheral immune cells revealed by single-cell RNA sequencing

Multi-omics in exploring the pathophysiology of diabetic retinopathy

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