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NMR spectroscopy spotlighting immunogenicity induced by COVID-19 vaccination to mitigate future health concerns

S. Ali, Š. Nedvědová, G. Badshah, MS. Afridi, . Abdullah, LM. Dutra, U. Ali, SG. Faria, FLF. Soares, RU. Rahman, FACQ. Cançado, MMCC. Aoyanagi, LGD. Freire, ADC. Santos, A. Barison, CAF. Oliveira

. 2022 ; 3 (-) : 199-214. [pub] 20220822

Jazyk angličtina Země Nizozemsko

Typ dokumentu časopisecké články, přehledy

Perzistentní odkaz   https://www.medvik.cz/link/bmc22023904

In this review, the disease and immunogenicity affected by COVID-19 vaccination at the metabolic level are described considering the use of nuclear magnetic resonance (NMR) spectroscopy for the analysis of different biological samples. Consistently, we explain how different biomarkers can be examined in the saliva, blood plasma/serum, bronchoalveolar-lavage fluid (BALF), semen, feces, urine, cerebrospinal fluid (CSF) and breast milk. For example, the proposed approach for the given samples can allow one to detect molecular biomarkers that can be relevant to disease and/or vaccine interference in a system metabolome. The analysis of the given biomaterials by NMR often produces complex chemical data which can be elucidated by multivariate statistical tools, such as PCA and PLS-DA/OPLS-DA methods. Moreover, this approach may aid to improve strategies that can be helpful in disease control and treatment management in the future.

Citace poskytuje Crossref.org

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$a In this review, the disease and immunogenicity affected by COVID-19 vaccination at the metabolic level are described considering the use of nuclear magnetic resonance (NMR) spectroscopy for the analysis of different biological samples. Consistently, we explain how different biomarkers can be examined in the saliva, blood plasma/serum, bronchoalveolar-lavage fluid (BALF), semen, feces, urine, cerebrospinal fluid (CSF) and breast milk. For example, the proposed approach for the given samples can allow one to detect molecular biomarkers that can be relevant to disease and/or vaccine interference in a system metabolome. The analysis of the given biomaterials by NMR often produces complex chemical data which can be elucidated by multivariate statistical tools, such as PCA and PLS-DA/OPLS-DA methods. Moreover, this approach may aid to improve strategies that can be helpful in disease control and treatment management in the future.
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$a Badshah, Gul $u Department of Chemistry, Federal University of Paraná, CEP 81530-900, Curitiba, PR, Brazil
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$a Afridi, Muhammad S $u Department of Plant Pathology, Federal University of Lavras, Lavras, Brazil
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$a Abdullah, $u Department of Health and Biological Sciences, Abasyn University Peshawar, CEP 25000, Peshawar, Pakistan
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$a Dutra, Lívia M $u Center for Studies and Research of Medicinal Plants, Federal University of San Francisco Valley, CEP 56304-205, Petrolina, Brazil
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