Clinical, Immunological, and Vesicular Markers in Sarcopenia and Presarcopenia
Integrating clinical, immunological, and biochemical markers with EVs helps stratify sarcopenia effectively. Our data shows that EVs and macrophage profiles reflect systemic changes and metabolic stress. However, age- and gender-related variability in our cohort warrants caution in generalizing the findings. Artificial intelligence (AI) enhances patient clustering by combining these data types, enabling precise, personalized sarcopenia management, predicting disease progression, and identifying high-risk patients. AI also standardizes and optimizes analytical protocols, improving diagnostic and monitoring reliability and reproducibility.
Authors
- Ю. Г. Самойлова (ORCID: https://orcid.org/0000-0002-2667-4842)
- Л. М. Шулико (ORCID: https://orcid.org/0000-0001-5299-2097)
- М.В. Матвеева (ORCID: https://orcid.org/0000-0001-9966-6686)
- Dmitry A. Svarovsky (ORCID: https://orcid.org/0000-0002-8985-009X)
- Н. В. Тарасенко (ORCID: https://orcid.org/0000-0002-3605-5009)
- О. Е. Акбашева (ORCID: https://orcid.org/0000-0003-0680-8249)
- Л. В. Спирина (ORCID: https://orcid.org/0000-0002-5269-736X)
- Ikponmwosa Jude Ogieuhi (ORCID: https://orcid.org/0009-0003-9465-0089)
- А. А. Рагимов (ORCID: https://orcid.org/0009-0001-9813-3236)
- Sofia M. Merkulova
- Mar’yam P. Shukyurova
- Valeria A. Shokalo
- Sofia S. Timoshenko (ORCID: https://orcid.org/0009-0002-2409-6353)
Institutions
- Novosibirsk State Medical University (RU)
- Siberian State Medical University (RU)
- Tomsk National Research Medical Center (RU)
Publication Details
- Journal
- Frontiers in Bioscience-Landmark
- Published
- 2025-08-27
- DOI
- https://doi.org/10.31083/fbl42063
- Citations
- 1
- Primary Topic
- Nutrition and Health in Aging
- Type
- article
- Field-Weighted Citation Impact
- 1.16