Chemomicrobiomic analysis of glucosamine sulfate, prebiotics and non-steroidal anti-inflammatory drugs
https://doi.org/10.17749/2070-4909/farmakoekonomika.2020.049
Abstract
Introduction. The pharmaceutical drugs used in the treatment of osteoarthritis (OA) differ not only in the mechanisms of anti-inflammatory action but also in the effects on the human microbiome.
Purpose. Evaluation of the influence of some drugs used in the therapy of OA on the human microbiome by the method of chemoinformation analysis.
Materials and methods. Сomparative chemomicrobiome analysis of glucosamine sulfate (GS), diclofenac, acetylsalicylic acid (ASA), and three prebiotics (lactose, lactulose, fructose) as molecules of comparison. For each substance, estimates of the area under the curve (AUC) were obtained for a representative sampling of human microbiota (38 commensal bacteria). The minimum inhibitory concentrations (MIC) were established for more than 120 pathogenic bacteria.
Results. On average, according to a representative sampling of microbiota, the profile of the action of GS on the microbiome was almost identical to the profile of the action of lactose (AUC=0.23±0.18). The most effective growth of the microbiome was provided by fructose and lactulose (AUC=0.58±0.21). The effects of diclofenac and ASA on the commensals of microbiome were comparable to the effects of GS (AUC=0.27±0.22). However, the analysis of the obtained MIC values for pathogenic bacteria showed that diclofenac supported the growth of the pathogenic flora (MIC=35±1.4 μg/ml) to a greater extent than GS (MIC=16±1.5 μg/ml) and ASA (MIC=23±2.2 μg/ml).
Conclusion. The effects of GS on the microbiome are comparable to the effects of the prebiotic lactose whereas the inhibitory effect of GS and ASA on pathogenic bacteria is more pronounced than that of diclofenac. The inhibition of pathogenic bacteria by the GS helps to reduce inflammation.
Keywords
prebiotic effects,
human microbiome,
area under the growth curve,
chemoinformatics,
big data analysis,
glucosamine sulfate,
Sustagard Arthro
Supporting agencies: The study was supported by the grant provided by the Russian Foundation for Basic Research 18-07-00929.
About the Authors
O. A. Gromova
V.A. Nasonov Research Institute of Rheumatology; Moscow State University
Russian Federation
Russian Federation
Olga A. Gromova – MD, Dr Sci Med, Professor, Senior Researcher, Scientific Director of the Federal Research Center “Informatics and Management”, Russian Academy of Sciences; Leading Researcher, Center for Big Data Analysis, Author ID: 94901, Scopus Author ID: 7003589812, WoS ResearcherID: J-4946-2017, RSCI SPIN-code: 6317-9833, 34A Kashirskoye Shosse, Moscow 115522, Russia; 1 Leninskie gory, Moscow 119991, Russia
I. Yu. Torshin
V.A. Nasonov Research Institute of Rheumatology; Moscow State University
Russian Federation
Russian Federation
Ivan Yu. Torshin – MD, PhD, Senior Researcher, Federal Research Center “Informatics and Management”, Russian Academy of Sciences; Big Data Storage and Analysis Center, Scopus Author ID: 7003300274, Author ID: 54104, WoS ResearcherID: C-7683-2018, RSCI SPIN-code: 1375-1114, 34A Kashirskoye Shosse, Moscow 115522, Russia; 1 Leninskie gory, Moscow 119991, Russia
A. V. Naumov
Pirogov Russian National Research Medical University
Russian Federation
Russian Federation
Anton V. Naumov – MD, Dr Sci Med, Professor, head of the laboratory of diseases of the musculoskeletal system of the Russian gerontological scientific clinical center, AuthorID 393279, RSCI SPIN-code: 4763-9738, 1 Ostrovityanova Str., Moscow 117997, Russia
V. A. Maksimov
Russian Medical Academy of Postgraduate Education
Russian Federation
Russian Federation
Valery A. Maksimov – MD, Dr Sci Med, Professor, Honored Scientist of the Russian Federation, Honored Doctor of the Russian Federation, Vice President of the Scientific Society of Gastroenterologists of Russia, Professor of the Department of Dietetics and Nutrition, 2-1 Barrikadnaya Str., Moscow 123995, Russia
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For citations:
Gromova O.A., Torshin I.Yu., Naumov A.V., Maksimov V.A. Chemomicrobiomic analysis of glucosamine sulfate, prebiotics and non-steroidal anti-inflammatory drugs. FARMAKOEKONOMIKA. Modern Pharmacoeconomics and Pharmacoepidemiology. 2020;13(3):270-282. (In Russ.) https://doi.org/10.17749/2070-4909/farmakoekonomika.2020.049
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