Validació del mètode analític per la determinació d'aminoàcids i carbohidrats d'un producte farmacèutic per HPLC

Per poder desenvolupar un producte farmacèutic és necessari establir un mètode d’anàlisis que permeti determinar i quantificar totes aquelles substàncies que conté, ja sigui referent als principis actius; a les impureses i productes de degradació, conservants, antioxidants,... Grans entitats com la ICH remarquen la importància de validar els mètodes analítics ja que és la via per demostrar que aquell producte compleix les garanties de qualitat prèviament establertes. Així doncs, l’objectiu d’aquest Treball Final de Grau és poder desenvolupar i validar dos mètodes analítics per a la determinació d’aminoàcids i carbohidrats respectivament, d’un producte farmacèutic per cromatografia líquida (HPLC). Per tal de poder concloure que aquell mètode és adequat per la determinació per la qual ha estat desenvolupat, és necessari obtenir resultats que compleixin els criteris d’acceptació corresponents als paràmetres que han de ser avaluats en una validació analítica. Aquests paràmetres són: la precisió, la selectivitat, l’exactitud i la linealitat i el rang. Els resultats d’aquest projecte han demostrat que els dos mètodes desenvolupats són adequats per a la determinació de tres dels principis actius (aminoàcid 1, aminoàcid 2 i carbohidrat 1) que conté el producte farmacèutic d’ús veterinari analitzat; i poden ser validats ja que compleixen els criteris d’acceptació dels paràmetres avaluats que proposa la ICH. El mètode per la determinació de carbohidrats no és vàlid per el carbohidrat 2, ja que durant el desenvolupament es va detectar que una bona part d’aquest passava a carbohidrat 1 (desplaçament de l’equilibri ceto-enòlic que hi ha entre el carbohidrat 1 i el carbohidrat 2 a pHs alts). És per aquest motiu, que es pot concloure que aquest mètode no és vàlid i es recomana seguir investigant per a poder desenvolupar un mètode analític adient.

Nutrimetabolomics fingerprinting to identify biomarkers of bread exposure in a free-living population from the PREDIMED study cohort

Bread is one of the most widely consumed foods. Its impact on human health is currently of special interest for researchers. We aimed to identify biomarkers of bread consumption by applying a nutrimetabolomic approach to a free-living population. An untargeted HPLC q-TOF-MS and multivariate analysis was applied to human urine from 155 subjects stratified by habitual bread consumption in three groups: non-consumers of bread (n = 56), white-bread consumers (n = 48) and whole-grain bread consumers (n = 51). The most differential metabolites (variable importance for projection ≥1.5) included compounds originating from cereal plant phytochemicals such as benzoxazinoids and alkylresorcinol metabolites, and compounds produced by gut microbiota (such as enterolactones, hydroxybenzoic and dihydroferulic acid metabolites). Pyrraline, riboflavin, 3-indolecarboxylic acid glucuronide, 2,8-dihydroxyquinoline glucuronide and N-α-acetylcitrulline were also tentatively identified. In order to combine multiple metabolites in a model to predict bread consumption, a stepwise logistic regression analysis was used. Receiver operating curves were constructed to evaluate the global performance of individual metabolites and their combination. The area under the curve values [AUC (95 % CI)] of combined models ranged from 77.8 % (69.1 86.4 %) to 93.7 % (89.4 98.1 %), whereas the AUC for the metabolites included in the models had weak values when they were evaluated individually: from 58.1 % (46.6 69.7 %) to 78.4 % (69.8 87.1 %). Our study showed that a daily bread intake significantly impacted on the urinary metabolome, despite being examined under uncontrolled free-living conditions. We further concluded that a combination of several biomarkers of exposure is better than a single biomarker for the predictive ability of discriminative analysis.

Nutrimetabolomics fingerprinting to identify biomarkers of bread exposure in a free-living population from the PREDIMED study cohort

Bread is one of the most widely consumed foods. Its impact on human health is currently of special interest for researchers. We aimed to identify biomarkers of bread consumption by applying a nutrimetabolomic approach to a free-living population. An untargeted HPLC q-TOF-MS and multivariate analysis was applied to human urine from 155 subjects stratified by habitual bread consumption in three groups: non-consumers of bread (n = 56), white-bread consumers (n = 48) and whole-grain bread consumers (n = 51). The most differential metabolites (variable importance for projection ≥1.5) included compounds originating from cereal plant phytochemicals such as benzoxazinoids and alkylresorcinol metabolites, and compounds produced by gut microbiota (such as enterolactones, hydroxybenzoic and dihydroferulic acid metabolites). Pyrraline, riboflavin, 3-indolecarboxylic acid glucuronide, 2,8-dihydroxyquinoline glucuronide and N-α-acetylcitrulline were also tentatively identified. In order to combine multiple metabolites in a model to predict bread consumption, a stepwise logistic regression analysis was used. Receiver operating curves were constructed to evaluate the global performance of individual metabolites and their combination. The area under the curve values [AUC (95 % CI)] of combined models ranged from 77.8 % (69.1 86.4 %) to 93.7 % (89.4 98.1 %), whereas the AUC for the metabolites included in the models had weak values when they were evaluated individually: from 58.1 % (46.6 69.7 %) to 78.4 % (69.8 87.1 %). Our study showed that a daily bread intake significantly impacted on the urinary metabolome, despite being examined under uncontrolled free-living conditions. We further concluded that a combination of several biomarkers of exposure is better than a single biomarker for the predictive ability of discriminative analysis.