Publications by authors named "Shiding Li"

Regulatory T cells (Tregs) play a key role in immunomodulation and tissue regeneration. Limbal stem cells (LSCs) maintain corneal epithelial homeostasis, and LSC deficiency (LSCD) leads to visual impairment. Current LSCD treatments face donor shortages and graft rejection risks.

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The differentiation and stemness maintenance of stem cells are the core topics in cell biology and regenerative medicine, involving cell fate determination, developmental regulation and tissue regeneration. Chirality is an essential factor influencing multiple biological processes, including protein interactions, stem cell development and disease pathogenesis. However, its roles in regulating stem cells fate, especially limbal epithelial stem cells (LESCs), remain elusive.

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MicroRNAs (miRNAs) are conserved, short, non-coding RNAs that play a crucial role in regulating gene expression. Emerging evidence suggests that miRNAs are closely involved in the pathophysiology of various corneal diseases, particularly in regulating corneal wound healing, inflammation and neovascularization. In this review, we summarized the recent progress of miRNAs in corneal diseases, especially focused on their application as diagnostic biomarkers, regulators of cell biology, and therapeutic targets.

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Purpose: This study aimed to generate the spatial atlas of the human limbus using spatial transcriptomic technology and reveal the deep interaction among the niche microenvironment.

Methods: The spatial transcriptomic atlas of human limbus was performed using 10× Genomics Space Ranger software platform. Single-cell RNA sequencing data of human limbal epithelial stem cells (LESCs) were downloaded for integrating analysis.

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The cornea is the outermost layer of the eye and plays an essential role in our visual system. Limbal epithelial stem cells (LESCs), which are localized to a highly regulated limbal niche, are the master conductors of corneal epithelial regeneration. Damage to LESCs and their niche may result in limbal stem cell deficiency (LSCD), a disease confused ophthalmologists so many years and can lead to corneal conjunctivalization, neovascularization, and even blindness.

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Limbal stem cell deficiency (LSCD) is a clinically challenging eye disease caused by damage to limbal stem cells (LSCs). Currently, the international consensus classifies LSCD into three clinical stages based on the disease severity. However, no existing animal models attempt to replicate the varying degrees of LSCD observed in clinical cases.

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Ocular drug delivery has constantly challenged ophthalmologists and drug delivery scientists due to various anatomical and physiological barriers. Static and dynamic ocular barriers prevent the entry of exogenous substances and impede therapeutic agents' active absorption. This review elaborates on the anatomy of the eye and the associated constraints.

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With the continuous development of logging tools with controllable neutron sources, improving the processing method to make their measurements more consistent with those obtained by chemical sources has become a development trend in well logging based on controllable sources. To study the correction method that is not constrained by other parameters and does not require chemical sources, the reasons for the differences in the neutron porosity responses of D-T and chemical sources are theoretically analyzed. Then the fast neutron slowing-down process is divided into two stages depending on neutron energy.

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Background: To describe the distribution of corneal endothelial cell density (ECD), and to explore its correlation with birth weight (BW), anthropometric parameters, and ocular biometric parameters in Chinese school children.

Methods: In the population-based cross-sectional Nanjing Eye Study, children were measured for anthropometric information, for ECD by the noncontact specular microscope and for ocular biometric parameters by the optic low-coherent reflectometer. Data from right eyes were analyzed to illustrate the distribution of ECD and for determining correlated factors with ECD using univariate and multiple linear regression analysis.

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