Determination of Short-Chain Fatty Acids in Serum as Biomarkers of Renal Dysfunction

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Short-chain fatty acids (SCFAs) produced by the gut microbiota play an important role in maintaining the immune status of the body. Chronic kidney disease is associated with decreased microbial diversity in the gut and impaired production of SCFAs. In chronic kidney disease, the level of SCFAs in circulating blood decreases; therefore, the development of highly sensitive methods is required for the determination of SCFAs in serum. We have developed a technique for the determination of SCFAs in serum and tested it in a comparative study of serum samples from healthy volunteers and patients with diagnosed chronic kidney disease. The determination of SCFAs (acetic, propionic, oily, valerian, caproic, isobutyric and isovalerian) in blood serum was performed by gas chromatography-mass spectrometry (GC-MS) and gas chromatography-tandem mass spectrometry (GC-MS/MS). The limits of determination of the investigated SCFAs by GC-MS method are in the range of 0.05–0.09 µg/mL, by GC-MS/MS method – 0.002–0.007 µg/mL. We showed that in blood serum samples of patients with chronic kidney disease the concentrations of all investigated SCFAs are reduced in comparison with the control group and lie below the limits of detection by GC-MS method.

作者简介

M. Shachneva

Research Institute of Hygiene, Occupational Pathology and Human Ecology

编辑信件的主要联系方式.
Email: shachneva_mariya@mail.ru
俄罗斯联邦, Leningrad Region

E. Savelieva

Research Institute of Hygiene, Occupational Pathology and Human Ecology

Email: shachneva_mariya@mail.ru
俄罗斯联邦, Leningrad Region

参考

  1. Jha V., Garcia-Garcia G., Iseki K., Li Z., Naicker S., Plattner B., Yang C.W. Chronic kidney disease: Global dimension and perspectives // Lancet. 2013. V. 382. P. 260. https://doi.org/10.1016/S0140-6736(13)60687-X
  2. Marotta F. Gut Microbiota in Aging and Chronic Diseases. Switzerland: Springer Cham, 2023. P. 153. https://doi.org/10.1007/978-3-031-14023-5
  3. Lun H., Yang W., Zhao S., Jiang M., Xu M., Liu F., Wang Y. Altered gut microbiota and microbial biomarkers associated with chronic kidney disease // Microbiologyopen. 2018. V. 8. № 4. Article e00678. https://doi.org/10.1002/mbo3.678
  4. Zhang D., Jian Y.P., Zhang Y.N., Li Y., Gu L.T, Sun H.-H. et al. Short-chain fatty acids in diseases // Cell Commun. Signal. 2023. V. 21. P. 212. https://doi.org/10.1186/s12964-023-01219-9
  5. Hu J., Lin S., Zheng B., Cheung P.C.K. Short-chain fatty acids in control of energy metabolism // Crit. Rev. Food Sci. 2018. V. 58. P. 1243. https://doi.org/10.1080/10408398.2016.1245650
  6. McCarthy D.D., Kujawa J., Wilson C., Papandile A., Poreci U. Mice overexpressing BAFF develop a commensal flora-dependent, IgA-associated nephropathy // J. Clin. Invest. 2011. V. 121. P. 3991. https://doi.org/10.1172/JCI45563
  7. De Angelis M., Montemurno E., Piccolo M., Vannini L., Lauriero G., Maranzano V. et al. Microbiota and metabolome associated with immunoglobulin A nephropathy (IgAN) // PLOS One. 2014. V. 9. № 6. Article e99006. https://doi.org/10.1371/journal.pone.0099006
  8. Zhao Y.-Y. Recent advances of gut microbiota in chronic kidney disease patients // Explor. Med. 2022. V. 3. P. 260. https://doi.org/10.37349/emed.2022.00090
  9. Chai L., Luo Q., Cai K., Wang K., Xu B. Reduced fecal short-chain fatty acids levels and the relationship with gut microbiota in IgA nephropathy // BMC Nephrol. 2021. V. 22. № 1. P. 209. https://doi.org/10.1186/s12882-021-02414-x
  10. Yamamura R., Nakamura K., Kitada N., Aizawa T., Shimizu Y., Nakamura K. et al. Associations of gut microbiota, dietary intake, and serum short-chain fatty acids with fecal short-chain fatty acids // Biosci. Microbiota Food Health. 2020. V. 39. № 1. P. 11. https://doi.org/10.12938/bmfh.19-010
  11. Micalizzi G., Buzzanca C., Chiaia V., Mondello M., Cacciola F., Caccamo D., Mondello L. Measurement of short-chain fatty acids in human plasma by means of fast gas chromatography-mass spectrometry // J. Chromatogr. B. 2024. V. 1235. Article 124044. https://doi.org/10.1016/j.jchromb.2024.124044
  12. Garcia-Villalba R., Gimenez-Bastida J.A., Garcia-Conesa M.T., Tomas- Barberan F.A., Carlos Espin J., Larrosa M. Alternative method for gas chromatography-mass spectrometry analysis of short-chain fatty acids in faecal samples // J. Sep. Sci. 2012. V. 35. № 15. P. 1906. https://doi.org/10.1002/jssc.201101121
  13. Douny C., Dufourny S., Brose F., Verachtert P., Rondia P., Lebrun S. et al. Development of an analytical method to detect short-chain fatty acids by SPME-GC–MS in samples coming from an in vitro gastrointestinal model // J. Chromatogr. B. 2019. V. 1124. P. 188. https://doi.org/10.1016/j.jchromb.2019.06.013
  14. Zhang S., Wang H., Zhu M.-J. A sensitive GC/MS detection method for analyzing microbial metabolites short chain fatty acids in fecal and serum samples // Talanta. 2019. V. 196. P. 249. https://doi.org/10.1016/j.talanta.2018.12.049
  15. Lotti C., Rubert J., Fava F. Development of a fast and cost-effective gas chromatography–mass spectrometry method for the quantification of short-chain and medium-chain fatty acids in human biofluids // Anal. Bioanal. Chem. 2017. V. 409. P. 5555. https://doi.org/10.1007/s00216-017-0493-5
  16. Yao L., Davidson E.A., Shaikh M.W. Quantitative analysis of short-chain fatty acids in human plasma and serum by GC–MS // Anal. Bioanal. Chem. 2022. V. 414. P. 4391. https://doi.org/10.1007/s00216-021-03785-8
  17. Magliocca G., Mone P., Di Iorio B.R., Heidland A., Marzocco S. Short-chain fatty acids in chronic kidney disease: Focus on inflammation and oxidative stress regulation // Int. J. Mol. Sci. 2022. V. 23. № 10. P. 5354. https://doi.org/10.3390/ijms23105354

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