Psychiatric pharmaceuticals in the environment

Psychiatric pharmaceuticals, such as anxiolytics, sedatives, hypnotics, and antidepressants, are among the most prescribed active substances throughout the world. The occurrence of these widely used compounds in environmental matrices (wastewaters, surface, ground and drinking waters, soils, sediments, bio-solids and tissue), as well as the first studies indicating their high persistence and toxicity to non-target organisms, justify the growing concern about these emerging environmental pollutants. Despite this increasing interest, there is a considerable lack of knowledge about the environmental fate of a large number of psychiatric pharmaceuticals and further research about this topic is needed. This paper aims to review the literature data related to the occurrence, persistence, environmental fate and toxicity for non-target organisms of this group of pharmaceuticals. The analytical methods developed for the determination of psychiatric medicines in environmental matrices are also highlighted.

Environmental occurrence and fate of psychiatric pharmaceuticals

Os fármacos são importantes contaminantes ambientais. Nas últimas duas décadas, o número de estudos sobre a ocorrência destes poluentes emergentes em matrizes ambientais aumentou significativamente. Esta ocorrência generalizada preocupa a comunidade científica devido a evidências que comprovam a sua capacidade de interferir nos ecossistemas, mesmo em concentrações muito baixas. No caso particular dos fármacos psiquiátricos é expectável que constituam um risco ecológico significativo. Para uma melhor compreensão do impacto real destes poluentes é essencial que se proceda a uma avaliação extensiva da sua persistência e destino em matrizes ambientais. Os estudos apresentados nesta tese pretendem contribuir para melhorar o conhecimento acerca da ocorrência, persistência e destino ambiental de fármacos psiquiátricos. Para este efeito, foram seleccionados, como objecto de estudo, dois grupos de fármacos: anti-epilépticos (carbamazepina) e fármacos com efeitos ansiolíticos e sedativos (as benzodiazepinas diazepam, oxazepam, lorazepam e alprazolam). A fotodegradação é o principal processo que afecta a persistência de poluentes orgânicos em ambientes aquáticos. Consequentemente, a persistência dos cinco fármacos seleccionados foi avaliada através de estudos de fotodegradação directa e indirecta, tendo em consideração a influência de parâmetros relevantes tais como pH, nível de oxigenação e matéria orgânica dissolvida. Os estudos de fotodegradação aqui descritos foram seguidos por cromatografia micelar electrocinética com a aplicação de um capilar com revestimento dinâmico. Adicionalmente, os fotoprodutos resultantes de fotodegradação directa foram identificados por espectrometria de massa. O estudo da carbamazepina no ambiente é particularmente relevante uma vez que esta foi proposta como um potencial marcador de poluição antropogénica. A sua ocorrência em água superficiais, de sub-solo e residuais foi investigada através da implementação de um ensaio imunológico (ELISA), optimizado para a aplicação a triagens ambientais e amostras com matrizes complexas. O destino deste fármaco na interface água/solo foi também investigado usando solos agrícolas submetidos a fertilizações de longo prazo; este estudo permitiu tirar conclusões acerca da contaminação de águas adjacentes por solos contaminados. O trabalho aqui descrito constitui uma abordagem multidisplinar à problemática da ocorrência de fármacos psiquiátricos no ambiente, contribuindo de forma relevante para esta área de estudo.

Pregnancy and newborns disorders followed by urine metabolomics

Chapter 1 introduces the scope of the work by identifying the clinically relevant prenatal disorders and presently available diagnostic methods. The methodology followed in this work is presented, along with a brief account of the principles of the analytical and statistical tools employed. A thorough description of the state of the art of metabolomics in prenatal research concludes the chapter, highlighting the merit of this novel strategy to identify robust disease biomarkers. The scarce use of maternal and newborn urine in previous reports enlightens the relevance of this work. Chapter 2 presents a description of all the experimental details involved in the work performed, comprising sampling, sample collection and preparation issues, data acquisition protocols and data analysis procedures. The proton Nuclear Magnetic Resonance (NMR) characterization of maternal urine composition in healthy pregnancies is presented in Chapter 3. The urinary metabolic profile characteristic of each pregnancy trimester was defined and a 21-metabolite signature found descriptive of the metabolic adaptations occurring throughout pregnancy. 8 metabolites were found, for the first time to our knowledge, to vary in connection to pregnancy, while known metabolic effects were confirmed. This chapter includes a study of the effects of non-fasting (used in this work) as a possible confounder. Chapter 4 describes the metabolomic study of 2nd trimester maternal urine for the diagnosis of fetal disorders and prediction of later-developing complications. This was achieved by applying a novel variable selection method developed in the context of this work. It was found that fetal malformations (FM) (and, specifically those of the central nervous system, CNS) and chromosomal disorders (CD) (and, specifically, trisomy 21, T21) are accompanied by changes in energy, amino acids, lipids and nucleotides metabolic pathways, with CD causing a further deregulation in sugars metabolism, urea cycle and/or creatinine biosynthesis. Multivariate analysis models´ validation revealed classification rates (CR) of 84% for FM (87%, CNS) and 85% for CD (94%, T21). For later-diagnosed preterm delivery (PTD), preeclampsia (PE) and intrauterine growth restriction (IUGR), it is found that urinary NMR profiles have early predictive value, with CRs ranging from 84% for PTD (11-20 gestational weeks, g.w., prior to diagnosis), 94% for PE (18-24 g.w. pre-diagnosis) and 94% for IUGR (2-22 g.w. pre-diagnosis). This chapter includes results obtained for an ultraperformance liquid chromatography-mass spectrometry (UPLC-MS) study of pre-PTD samples and correlation with NMR data. One possible marker was detected, although its identification was not possible. Chapter 5 relates to the NMR metabolomic study of gestational diabetes mellitus (GDM), establishing a potentially predictive urinary metabolic profile for GDM, 2-21 g.w. prior to diagnosis (CR 83%). Furthermore, the NMR spectrum was shown to carry information on individual phenotypes, able to predict future insulin treatment requirement (CR 94%). Chapter 6 describes results that demonstrate the impact of delivery mode (CR 88%) and gender (CR 76%) on newborn urinary profile. It was also found that newborn prematurity, respiratory depression, large for gestational age growth and malformations induce relevant metabolic perturbations (CR 82-92%), as well as maternal conditions, namely GDM (CR 82%) and maternal psychiatric disorders (CR 91%). Finally, the main conclusions of this thesis are presented in Chapter 7, highlighting the value of maternal or newborn urine metabolomics for pregnancy monitoring and disease prediction, towards the development of new early and non-invasive diagnostic methods.