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Title |
Exploring molecular pathways in Alzheimer's disease neurodegeneration using biomarkers
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Authors |
Ankan Mondal1*, Sangeeta Gupta2, Aditya Bhattacharjee3, Amrit Podder4 & Parth Jani5
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Affiliation |
1Department of Neurosurgery, R. G. Kar Medical College, Kolkata, India; 2Department of Physiology, AIIMS Gorakhpur, Uttar Pradesh, India; 3Department of Medicine and Surgery, Amrita School of Medicine, Faridabad, India; 4Department of Physiology, KMC Medical College & Hospital, Maharajganj, Uttar Pradesh, India; 5Department of General Medicine, Government Medical College, Bhavnagar, India; *Corresponding author
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Ankan Mondal - E-mail: jimmiankan@gmail.com
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Article Type |
Research Article
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Date |
Received January 1, 2026; Revised January 31, 2026; Accepted January 31, 2026, Published January 31, 2026
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Abstract |
The need to better understand the role of tumor necrosis factor-alpha (TNF-α) in Alzheimer's disease (AD) and its relationship with brain atrophy and cognitive decline is highly relevant. Therefore, it is of interest to investigate the role of tumor necrosis factor-alpha (TNF-α) in Alzheimer's disease (AD) by analyzing its relationship with brain atrophy and cognitive decline in 80 AD patients. Our results show a significant correlation between increased CSF TNF-α levels and hippocampal atrophy. Additionally, TNF-α level were associated with other clinical variables, emphasizing its role in neuroinflammation. Thus, TNF-α as a potential biomarker for Alzheimer's disease progression. Further research is needed to assess its therapeutic potential. The advancement to knowledge in this study is the identification of a significant correlation between elevated TNF-α levels and hippocampal atrophy in Alzheimer's disease, supporting TNF-α as a potential biomarker for disease progression. |
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Keywords |
Alzheimer's disease, biomarker, cognitive decline, inflammation, tumor necrosis factor-alpha
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Citation |
Mondal et al. Bioinformation 22(1): 47-50 (2026)
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Edited by |
Ritik Kashwani
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ISSN |
0973-2063
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Publisher |
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License |
This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.
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