Publicação
Hair-based hormonal profiling to identify biological disturbance associated to exposure to pollutants and/or infection
| Resumo: | The intensity and severity of the symptoms of various infections is quite variable due to the involvement of various physiological mechanisms as well as environmental factors and not just age and clinical history, as has been evident throughout the COVID-19 pandemic. Experimental results were then obtained and compiled for analysis of hormone levels obtained by Ultra Performance Liquid Chromatography with Tandem Mass Spectrometry (ULPCMS/MS), with a view to it being used with greater precision and accuracy in the future to predict the severity of biological and physiological disorders due to an infection based on specific hormone profiles. This study has 2 main objectives: • Identification and quantification of endogenous hormone levels using hair of COVID-19 cases as a matrix; • Identification and retrospective quantification of endogenous hormone levels in the hair and beard of an adult male and study of hormonal variability over time. The results were obtained using the UPLC Acquity class H liquid chromatography module coupled with in tandem mass spectroscopy module XevoTM TQ-S triple quadrupole mass detector from WatersTM. Of the 37 hormones to be analyzed, approximately 6 had detection frequencies below 10% and 4 below 25%. The results of the comparison between the control and positive groups yielded interesting findings. These indicated that higher levels of 17α-hydroxy-progesterone (17-OHP) and Dehydroepiandrosterone (DHEA) were associated with COVID-positive patients, while higher levels of cortisol were associated with the absence of COVID-19. Seasonal variability was found for some hormones and the reliability of using beard as an alternative matrix was demonstrated for some analytes. In the future, hormone reference values will be established using control groups as well as the construction of hormone profiles indicative of physiological disturbances such as the intensity of symptoms in certain infections, COVID-19 being an example. |
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| Autores principais: | Matos, Armindo Rodrigo Marques Cabaças de |
| Assunto: | Hormones Hair COVID-19 UPLC-MS/MS 17-OHP DHEA |
| Ano: | 2024 |
| País: | Portugal |
| Tipo de documento: | dissertação de mestrado |
| Tipo de acesso: | acesso embargado |
| Instituição associada: | Universidade de Trás-os-Montes e Alto Douro |
| Idioma: | inglês |
| Origem: | Repositório da UTAD |
| Resumo: | The intensity and severity of the symptoms of various infections is quite variable due to the involvement of various physiological mechanisms as well as environmental factors and not just age and clinical history, as has been evident throughout the COVID-19 pandemic. Experimental results were then obtained and compiled for analysis of hormone levels obtained by Ultra Performance Liquid Chromatography with Tandem Mass Spectrometry (ULPCMS/MS), with a view to it being used with greater precision and accuracy in the future to predict the severity of biological and physiological disorders due to an infection based on specific hormone profiles. This study has 2 main objectives: • Identification and quantification of endogenous hormone levels using hair of COVID-19 cases as a matrix; • Identification and retrospective quantification of endogenous hormone levels in the hair and beard of an adult male and study of hormonal variability over time. The results were obtained using the UPLC Acquity class H liquid chromatography module coupled with in tandem mass spectroscopy module XevoTM TQ-S triple quadrupole mass detector from WatersTM. Of the 37 hormones to be analyzed, approximately 6 had detection frequencies below 10% and 4 below 25%. The results of the comparison between the control and positive groups yielded interesting findings. These indicated that higher levels of 17α-hydroxy-progesterone (17-OHP) and Dehydroepiandrosterone (DHEA) were associated with COVID-positive patients, while higher levels of cortisol were associated with the absence of COVID-19. Seasonal variability was found for some hormones and the reliability of using beard as an alternative matrix was demonstrated for some analytes. In the future, hormone reference values will be established using control groups as well as the construction of hormone profiles indicative of physiological disturbances such as the intensity of symptoms in certain infections, COVID-19 being an example. |
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