Quantitative Modeling of IgG N-Glycosylation Profiles from Population Data
Elena Kutumova, Nikita Mandrik, Ruslan Sharipov, Maja Pučić-Baković, Borna Rapčan, Yurii Aulchenko, Gordan Lauc, Fedor Kolpakov, Jacques Demongeot · 2025
Read Quantitative Modeling of IgG N-Glycosylation Profiles from Population Data by Elena Kutumova, Nikita Mandrik, Ruslan Sharipov, Maja Pučić-Baković, Borna Rapčan, Yurii Aulchenko, Gordan Lauc, Fedor Kolpakov, Jacques Demongeot (2025) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-12692266.txt.
Description
Elena Kutumova and co-authors present a modeling study, published in 2025, on how sugar chains on antibodies change across a population. Antibodies of the IgG type carry sugar chains that tune how they act in the immune system. The team built a math model of how those chains are built inside cells and fitted it to blood data from two island populations in Croatia.
Nearly two thousand people in total contributed profiles measured across twenty-two sugar peaks each. The model estimated levels of seven key enzymes in four cell compartments. One enzyme fell steadily with age in both populations, marking it as a driver of age linked sugar changes and a possible marker of aging itself.
Catalog record
| CREATOR | Elena Kutumova, Nikita Mandrik, Ruslan Sharipov, Maja Pučić-Baković, Borna Rapčan, Yurii Aulchenko, Gordan Lauc, Fedor Kolpakov, Jacques Demongeot |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 35 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |