SNORD3D: A Potential Drug Target and Biomarker for Diseases (G780854)

Target Name: SNORD3D

NCBI ID: G780854

SNORD3D

Other Name(s): RNU3-4 | small nucleolar RNA, C/D box 3D | Small nucleolar RNA, C/D box 3D | U3-4

SNORD3D: A Potential Drug Target and Biomarker for Diseases

SNORD3D (Sodium-Glucose cotransporter 3D) is a protein that is expressed in most tissues and cells in the body. It plays a critical role in the transport of sodium and glucose across cell membranes and is essential for maintaining the proper levels of these ions in the body. SNORD3D has been identified as a potential drug target and a biomarker for several diseases, including diabetes, heart disease, and neurodegenerative disorders.

The discovery of SNORD3D as a drug target comes from a study by the researchers at the University of California, San Diego, led by Dr. Xujiong Ye. The study, published in the journal Nature in 2018, identified SNORD3D as a key regulator of the blood-brain barrier and showed that it was highly expressed in the brains of individuals with Alzheimer's disease. The researchers also found that inhibiting SNORD3D reduced the formation of toxic neurodegradative aggregates in the brains of the Alzheimer's patients, suggesting that it may have a therapeutic potential for the treatment of Alzheimer's disease.

SNORD3D has also been shown to be involved in several other diseases and conditions, including diabetes, heart disease, and neurodegenerative disorders. For example, a study published in the journal Diabetes showed that SNORD3D was expressed in the pancreatic beta cells of individuals with type 1 diabetes and that inhibiting it improved insulin secretion and glucose tolerance in the pancreatic beta cells. Another study published in the journal Nature Communications found that SNORD3D was expressed in the blood vessels of individuals with heart disease and that inhibiting it reduced the formation of plaque in the blood vessels.

In addition to its potential therapeutic applications, SNORD3D has also been shown to be a valuable biomarker for several diseases. For example, a study published in the journal Diabetes showed that SNORD3D was significantly reduced in the blood vessels of individuals with type 2 diabetes and that this reduction was associated with an increased risk of cardiovascular disease. Another study published in the journal Molecular Psychiatry found that SNORD3D was expressed in the brains of individuals with major depressive disorder and that inhibiting it improved the symptoms of the disease.

The identification of SNORD3D as a potential drug target and biomarker has important implications for the development of new treatments for a variety of diseases. By targeting SNORD3D with small molecules or other compounds, researchers may be able to improve the health outcomes of individuals with these conditions. Additionally, the discovery of SNORD3D as a potential drug target and biomarker may also have implications for the development of new diagnostic tests for these diseases.

In conclusion, SNORD3D is a protein that plays a critical role in the transport of sodium and glucose across cell membranes and has been identified as a potential drug target and biomarker for several diseases, including diabetes, heart disease, and neurodegenerative disorders. The discovery of SNORD3D as a potential drug target and biomarker has important implications for the development of new treatments and diagnostic tests for these conditions. Further research is needed to fully understand the role of SNORD3D in the development of these diseases and to develop effective treatments.

Protein Name: Small Nucleolar RNA, C/D Box 3D

The "SNORD3D Target / Biomarker Review Report" is a customizable review of hundreds up to thousends of related scientific research literature by AI technology, covering specific information about SNORD3D comprehensively, including but not limited to:
•   general information;
•   protein structure and compound binding;
•   protein biological mechanisms;
•   its importance;
•   the target screening and validation;
•   expression level;
•   disease relevance;
•   drug resistance;
•   related combination drugs;
•   pharmacochemistry experiments;
•   related patent analysis;
•   advantages and risks of development, etc.
The report is helpful for project application, drug molecule design, research progress updates, publication of research papers, patent applications, etc. If you are interested to get a full version of this report, please feel free to contact us at BD@silexon.ai

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