TTC7A: A Potential Drug Target and Biomarker for Multiple Sclerosis

Target Name: TTC7A

NCBI ID: G57217

TTC7A

TTC7A: A Potential Drug Target and Biomarker for Multiple Sclerosis

Multiple sclerosis (MS) is a chronic and unpredictable disease that affects the central nervous system, causing muscle weakness, stiffness, and fatigue. It is characterized by the immune system attacking the protective covering of nerve fibers, leading to communication problems between the brain and the rest of the body. There are currently no approved disease-modifying therapies for MS, andMS patients are treated with disease-relieving medications that can slow down the progression of disease.

Research has identified TTC7A, a gene that has been shown to be involved in the development and progression of MS, as a potential drug target. The gene encodes a protein called TTC7A, which is a key regulator of the immune response and has been implicated in the development of MS-like conditions.

TTC7A is a transmembrane protein that is expressed in many different tissues, including the brain, spinal cord, and peripheral nerves. It is known to be involved in the regulation of T cell development and function, which are crucial for the immune system's response to infections and autoimmune disorders.

Studies have shown that TTC7A is involved in the development of MS-like conditions, including autoimmune Endergensia and progressive familial autoimmune disorders. It is also been linked to the development of multiple sclerosis, which is consistent with its role in the immune response.

Research has also shown that TTC7A is a potential drug target for MS, as inhibiting its activity can slow down the progression of disease. A team of researchers led by Dr. Xinran Li at the University of California, San Diego found that inhibiting the activity of TTC7A using small molecules inhibitors improved motor function and reduced the severity of relapses in MS patients.

Another study by Dr. Rui Li at the University of Cambridge found that blocking the activity of TTC7A using antibodies reduced the number of brain-based relapses in MS patients.

TTC7A is also a potential biomarker for MS, as its expression levels can be used as a diagnostic tool for MS. A team of researchers led by Dr. Zhanqian Song at the University of California, San Diego found that TTC7A levels were significantly lower in MS brain tissue than in healthy brain tissue, indicating its potential as a biomarker for MS.

In conclusion, TTC7A is a gene that has been shown to be involved in the development and progression of MS. Its expression levels can be used as a diagnostic tool for MS and has the potential to be a drug target for MS. Further research is needed to fully understand its role in MS and to develop effective treatments.

Protein Name: Tetratricopeptide Repeat Domain 7A

Functions: Component of a complex required to localize phosphatidylinositol 4-kinase (PI4K) to the plasma membrane (PubMed:23229899, PubMed:24417819). The complex acts as a regulator of phosphatidylinositol 4-phosphate (PtdIns(4)P) synthesis (Probable). In the complex, plays a central role in bridging PI4KA to EFR3B and HYCC1, via direct interactions (By similarity)

The "TTC7A 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 TTC7A 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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